Table of contents

The International Symposium of Geoscience, Oil & Gas Engineering, Sustainable and Environmental Technology (GEOSOSTEK 2020) is an international conference initiated by Hemispheres and STIEPARAPI. This conference was originally planned for an offline meeting and held in Yogyakarta, Indonesia. However, after the announcement of the COVID-19 pandemic by the World Health Organization (WHO), it resulted in many countries putting into lockdowns and travel restrictions. In Indonesia itself, the government's policies are social restrictions on a large scale and fairly strict travel regulations. In addition to many requirements such as mandatory COVID-19 swab testing and others. So that we feel quite burdensome during this Pandemic. With a long consideration, finally this conference was decided to be held virtual while still meeting conference standards through the Zoom application. This virtual conference has been held according to the set schedule, which was December 19, 2020. The papers submitted in this conference were reviewed by 3 reviewers and the results based on the decisions of the 3 reviewers. The received papers in this conference were 82 papers and only 48 papers have been accepted. The paper authors at this conference must present their papers with a duration of 15 minutes including the question and answer. Scientific discussions are maintained in this conference to meet quality conferences from paper selection to submission of conference papers to publishers. Many of the conference participants were satisfied if the conference was held in a virtual manner given the many burdensome regulations and so that they would not catch COVID-19.

The rise of issues related to the COVID-19 outbreak has influenced researchers to direct their research in this area. This epidemic has become a global epidemic and has had tremendous impacts in terms of environmental, economic, food and other conditions. Not only the COVID-19 outbreak, several areas were also affected by disasters such as floods, landslides, earthquakes, and so on. These incidents reveal the fact that the world is getting old and humans should be wiser in treating it. Various policies, facilities and infrastructure were deployed to mitigate this disaster so that humans and the environment could survive and continue their lives. One example relates to the implementation of lockdown policies or restrictions on social interactions and the closure of business facilities in order to reduce the spread of the virus. On the one hand, this has an impact on the economic side of the community, but on the other hand, the environment is getting cleaner because it reduces pollution caused by vehicle waste and production waste. Various kinds of technological devices are also used to communicate over long distances in interacting so that the support of technological devices is very helpful for humans in their lives. Hopefully the coming years of this pandemic will end quickly and humans can do activities as before. We hope that the papers in this conference can be a solution in reducing the burden in facing the current pandemic and disaster.

Editor of the GEOSOSTEK

Ferry Wahyu Wibowo

ORCID ID: 0000-0003-1913-436X

List of Committees are available in this pdf.

All papers published in this volume of IOP Conference Series: Earth and Environmental Science have been peer reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing.

● Type of peer review: Double-blind

The review process at The International Symposium of Geoscience, Oil & Gas Engineering, Sustainable and Environmental Technology (GEOSOSTEK 2020) has used a double-blind process. This process has used the EDAS conference management system (edas.info). First, we checked the template suitability of the IOP Conference Series: Earth and Environmental Science. If it doesn't match the template then we will return it. Second, the stage of checking the plagiarism of incoming papers has been provided by EDAS using docoloc. If the plagiarism is very high then we will reject it directly, on the other hand, if the plagiarism is low (using threshold 30) then we will continue to be reviewed by 3 reviewers. The status of being accepted or rejected for this stage depends on the assessment of the three reviewers. We also check the similarity plagiarism using Turnitin before these papers would be submitted to the IOP.

● Conference submission management system: EDAS conference management system (https://edas.info)

● Number of submissions received: 82 papers

● Number of submissions sent for review: 82 papers

● Number of submissions accepted: 48 papers

● Acceptance Rate (Number of Submissions Accepted / Number of Submissions Received X 100): 58.53%

● Average number of reviews per paper: 3 reviews per paper

● Total number of reviewers involved: 94 reviewers

● Any additional info on review process: In this conference, only full papers are accepted for review. After being reviewed, the editor will decide on the status of the paper from the review results of the three reviewers. If more than two reviewers stated that they accepted the paper, the paper would be accepted, on the other hand, if more than two reviewers stated that they rejected the paper, the paper would be rejected. Some review forms used in this conference are,

Technical Criteria

• Scientific merit: notably scientific rigour, accuracy and correctness.

• Clarity of expression; communication of ideas; readability and discussion of concepts.

• Sufficient discussion of the context of the work, and suitable referencing.

Quality Criteria

• Originality: Is the work relevant and novel?

• Motivation: Does the problem considered have a sound motivation? All papers should clearly demonstrate the scientific interest of the results.

• Repetition: Have significant parts of the manuscript already been published?

• Length: Is the content of the work of sufficient scientific interest to justify its length?

Presentation Criteria

• Title: Is it adequate and appropriate for the content of the paper?

• Abstract: Does it contain the essential information of the paper? Is it complete? Is it suitable for inclusion by itself in an abstracting service?

• Diagrams, figures, tables and captions: Are they essential and clear?

• Text and mathematics: Are they brief but still clear? If you recommend shortening, please suggest what should be omitted.

• Conclusion: Does the paper contain a carefully written conclusion, summarizing what has been learned and why it is interesting and useful?

Before sending those papers to the publisher, the editor checks the suitability of the template, numbering of figures, tables, sections, citations, and others.

● Contact person for queries (please include: name, affiliation, institutional email address) Rosyidah Jayanti Vijaya, Hemispheres, info@hemispheres.or.id

Impact-based forecasting and warning services aim to bridge the gap between producers and users of warning information by connecting and increasing synergies between the components of effective early warning systems. In this research, we proposed an automated warning message based on colour codes to trigger risk mitigation actions at the local level in the flood-exposed communities of Kelantan river basin, Malaysia. With a community-based approach for different groups of users (i.e. sectors), flood-impact scenarios were determined from past events and related to colour codes. These were developed into impact-based forecasting and warnings that can connect water levels, through the colour code, to localised guidance information tailored to sectors' needs on how to respond to the expected flood. Overall, the colour coded impact-based warnings were found to be an easy and understandable way to link water level forecasts to the necessary risk mitigation actions. However, further investigation is needed to validate these findings under real-time conditions. IBF has vast potential in Malaysia, but its integration requires significant institutional changes, such as an inter-facing agency (long term) or team (short term), adjusted policy frameworks (standing orders on disasters), and new resource allocations for skills development and technological innovation from national to local levels. Overall, this paper aims to offer the first insight into impact-based forecasting and warning services in Malaysia to trigger further research and project developments.

Dams play a vital role in our modern life but it may fail in any undesirable situation and have a disastrous effect on society, economy and environment. As most of the dams in Malaysia undergo aging factors, the integrity of dams should be examined. This research assesses the flood impact analysis on direct damages and loss of life (LOL) for the Pergau Hydroelectric Dam breach under the probable maximum flood (PMF) scenario using Hydrologic Engineering Center's Flood Impact Analysis (HEC-FIA) software. The results are also compared with the United States Bureau of Reclamation method. The model was populated with inundation and flood arrival time grid, LOL parameters and structure inventories as input and the simulation results showed that 17 affected villages would subject to direct damage of RM 79,433,437 and 380 LOL. The percentage difference between the two methods is 2.75% for direct damage and 4.12% for LOL.

This research examines how regional tourism management has a business strategy to be able to maintain the continuity of the tourism business after the COVID-19 pandemic by empowering the role of Penta Helix. The local community must care and have the awareness to maintain tourism destination development through a good branding strategy. Penta Helix still maintains the survival strategy of the tourism community in a global competition that must be increasingly competitive. Based on an intensive study of the impact of the corona covid-19 virus which is empirically related to unique and region-specific cultural attitudes that must be maintained. This study uses a qualitative research type in accordance with the variety and breadth of research objects in marketing branding management. In addition, through post-Covid-19 research, it is hoped that strategic innovations can be created to build tourism competitiveness advantages as expected.

One of fastest growing tourism economic zone is Tanjung Lesung, located in Pandeglang Regency, Banten. Besides Tanjung Lesung Special Economic Zone, Pandeglang Regency has many tourism potentials, which contributes significantly to the regional revenue. As a critical element of tourism, hotels provide accommodation and services for tourists. To provide the services, the flow of goods, services, and information must be designed efficiently and effectively. Unfortunately, the December 2018 Sunda Strait tsunami had impacted hospitality industry and its supply chain severely since then. To support the recovery from the impact of the tsunami, it is important to understand the relationship between each component in the hospitality supply chain in Pandeglang. Hence, this study aims to identify the hospitality supply chain in Pandeglang. The study uses the qualitative approach to describe the main components of the hospitality supply chain and with samples of interviews mostly from official governments and other related organizations within the industry. The result finding indicates that the components in the hospitality business in Pandeglang consist of three main components, namely: supplier, distributor, and customer. In addition, the relationship between components can be more efficient to increase product competitiveness in the tourism market and to support the Pandeglang recovery.

Natural disaster is a natural event that often gives such impact on the living things populations. The purpose of this research is to determine whether the occurrence of earthquake and tsunami has the potential to cause economic loss, thus, mitigation measures can be taken as an effort to reduce these losses. The method used in this research is quantitative. The data used are primary data from questionnaires, and secondary data were gained from various literatures. Data analysis was performed using Microsoft Excel. Based on the data analysis that has been conducted, the results show that earthquake and tsunami have a relation to the economy. All respondents agreed that earthquake and tsunami caused disruption to the public facilities operation. All respondents also agreed that the detriment after the earthquake and tsunami had an effect on fulfillment of needs and economic activities. This answer affirms that the damage of various facilities and production resources caused the increasing of limited satisfaction tools and scarcity arises, then resulting in economic problems.

Tanjung Lesung, Pandeglang was designated as the first Tourism Special Economic Zones since 2015. However, the coastal area in Pandeglang is prone to disasters. Recently, a tsunami upended the hospitality industry in Pandeglang. Compounded with the occurrence of COVID-19 outbreak, recovery measures prove to be more difficult. The tourism sector has broader economic implications due to its ties with other supporting sectors. The purpose of this study is to understand the direct impacts on tourism and its supporting industry after the tsunami and COVID-19 outbreak in Pandeglang. Therefore, the research question is: "What are the direct impacts of the 2018 tsunami and COVID-19 outbreak to Pandeglang tourism?". This research uses a qualitative method, particularly content analysis of news, articles, journals, and the result of interviews. The results show that the direct impacts of both disasters to the Pandeglang tourism sector comprise of three aspects, namely the damage in physical assets, the decrease in value property, and the loss of lives. As a regency that relies heavily on tourism as one of its mainstay economic sectors, the tsunami and COVID-19 pandemic are big blows to Pandeglang tourism.

After the 2018 Sunda Strait Tsunami, the hospitality and tourism industry has been severely impacted. Based on the Indonesia 2010-2025 National Tourism Development Master Plan, one of the visions is sustainable tourism. Sustainable tourism is expected to support the recovery from the tsunami impact on the hospitality industry, improving the current approach and enhance resilience of the tourism area. However, the research question is related to how optimal has the relationship between the main components of sustainable tourism (ecology, socio-economy, and socio-culture) in Pandeglang? Therefore, this study aims to create the sustainable tourism strategy to fill the gaps on the 2018 tsunami recovery and the COVID-19 pandemic on the tourism sector and hospitality industry policy in Pandeglang. The study uses the qualitative method to describe the main strategy for sustainable tourism based on in-depth interview and secondary data. The findings indicated that the relationship between the main components of sustainable tourism which are ecology, socio-economy, and socio-culture have not been integrated optimally in Pandeglang. Sustainable tourism can provide the preservation and conservation of the sanctity of tourism in Indonesia, especially Pandeglang.

Ten sub-districts in Jombang, Indonesia, namely jombang downtown, Bareng, Wonosalam, Mojoagung, Mojowarno, Ploso,Kudu, Bandarkedungmulyo, Sumobito dan kesamben experience the impact of natural disasters of floods and landslides each year. All of these sub-districts consists of 32 villages. Disasters that become an annual routine, namely floods and landslides, make residents suffer moral and material losses. The Regional Disaster Management Agency (BPBD) is the main actor in helping this disaster such as donors who want to help the victims of natural disasters is accommodated by BPBD with the aim of equitable distribution of aid and on target. However, the practice in the field encountered obstacles namely not finding the shortest track from the location of the natural disaster to be visited in accordance with the track and logistics needs at the disaster site. The Ant Colony Optimization (ACO) algorithm is used by researchers to solve the problems encountered by Jombang BPBD. There are 6 iterations in implementing this algorithm. ACO algorithm test outcomes to find the track in the distribution of logistics to the disaster location that obtained the value of the number of ants 10, the initial pheromone of 0.117 from C greedy obtained 85,5 and the distance obtained from the google map. With the ACO algorithm found 3 alternatives for logistics distribution tracks in natural disaster areas in Jombang.

A pipeline, railway or telecommunication cable (referred to as victim line) sharing a common corridor with ac power transmission or distribution lines captures a portion of the electromagnetic field energy surrounding the power lines in the air and soil. This captured energy, often designated as ac interference, can result in an electrical shock hazard for people touching the victim lines or metallic structures connected to them. Furthermore, excessive stress voltages across rails, telephone pairs or pipe walls and coating surfaces can result in degradation or damage to equipment and puncture of pipe coating, leading to accelerated corrosion and can damage insulation flanges and rectifiers. The main objective for this study is to analyse proximity effect from a proposed double circuit transmission lines in different scenarios, which are steady-state, fault conditions and lightning strike. Induced voltage and currents on a gas pipeline to be determined using Current Distribution, Electromagnetics and Soil Structure Analysis (CDEGS) software.

Information Technology (IT) is an enabler for Indonesian tourism industry. Before Covid-19 pandemic, the industry already felt the effect of IT. The pandemic changes the global industry situation. This paper presents mathematical model on the number of tourism start-up, the number of local and international tourists, and national Gross Domestic Product (GDP). The results of this study show that while there are problems because of Covid-19 pandemic in the following year, the future income of tourism industry shows steady growth. The model can be used by other industry for better analysis.

Application-based transport or online ojek has been main trends in Indonesia. It gives solution to public in rush hours especially in urban area. Even though they are needed but many customers have complaint about their services. The purposes of this study are observing the operator effort to maintain customer satisfaction and loyalty. It evaluated customer response to determine the cause of the satisfaction and loyalty especially for the construct of service quality and online servicescape. In addition, it brings new construct as mediation variable of perceived value to strengthen the relationship among the variables. This study found the new relationship among service quality and online servicescape to strengthen customer satisfaction and loyalty. By collecting the customers from Jakarta region as respondent's, this study tested their perception about the online service delivery and their effect to the loyalty. Some suggestion and direction also given to expand the research as discussion topic.

The advancement of Information and Communication Technology (ICT) has encouraged the beginning of a new form of hospitality business known as a Virtual Hotel Operator (VHO). This hotel concept in recent years succeeded in attracting hotel management and cooperation from various accommodation entrepreneurs. VHO concept is considered a disruption that threatens the existing hotels. Some of the big VHO brands in Bandung include RedDoorz and Oyo. The presence of VHO might be one of the reasons for the decrease in the occupancy rate of star hotels. The other hand, the occupancy of non-star hotels continues to increase. It becomes urgent to understand the Critical Success Factors (CSFs) of the VHO. This study aims to identify the determinants of the success of VHO hotels in Bandung. This research is an exploratory study using primary data through surveys, and secondary data that focuses on hotel guests who have stayed through VHO in Bandung City CSFs are measured using questionnaire using the Likert scale of 5 and processed using SPSS 25. The findings of this study indicate that the choose VHOs is inspired by the variety of promotions offered, ease of access, and extensive hotel networks. Furthermore, the factors that support the success of VHO are components of service quality, core products and control strategies. The ease of booking a room and broadness of the network are keys in increasing VHO sales.

Flowers are a part of tourist attractions. The existence of gardens and flowers in a tourist spot affects the perception of visitors. This research aims to determine the perceptions and impressions of tourists from Indonesia who have visited Hungary. Data obtained from online surveys through the Whatsapp group of Indonesian students. Furthermore, the data obtained processed and counted to find out the tendency of the flowers impression to visitor. The data obtained shows that flowers have an influence on impressions for visitors in Hungary. Flowers impression correlates versus selfie activity, willingness to referral and attention to flower's colour with lower than the given p-value of 0.05. They are 0.002 for selfie, 0.020 for willingness to referral, and 0.01 for colour intention respectively.

Predicting stock market movements is a well-known problem of the machine learning field. In general, there are two primary methods used to analyze stocks and make investment decisions: fundamental analysis and technical analysis. But fewer researchers focus on monthly revenue indicators and different time period prediction. We collect and organize financial data extracted from Taiwan and U.S n companies' monthly and quarterly financial reports across a period of 10 years. In addition, we successfully use fundamental and technical indicators as training model's features. Among experiment results, which has good performance. The annualized profitability (annualized rate of return) can reach 2.56%, the Sharpe ratio is 2.01, the maximum amplitude is - 20.8%. Compared with other strategies, our strategy is relatively stable and achieves ideal results. The more important is we used monthly revenue indicators based features to improve model performance.

Knowledge management systems can help to automate KM processes that exist in organizations. These systems facilitate knowledge discovery, knowledge capture, knowledge sharing, and applying knowledge in an organization. Using appropriate methods to develop and implementing knowledge management systems help organizations realizing these systems more effectively to enhance an organization's competitive advantage and facilitate KM processes. This study investigates the approach for developing knowledge management systems in organizations with a systematic literature review in the past ten years. The findings in the literature study show that seventeen methods are used in the development of KMS, where the SECI knowledge spiral is the most often method used for developing KMS by combining it with traditional IS development techniques. In this study, we also compare five methods as candidates for KMS development methods that can support the acceleration of the innovation process in organizations and evaluate them based on KM criteria that support innovation using the analytic hierarchy process technique. It is found that Fernandez's methodology combines with Joint Application Design (JAD) adoption is the most prominent method used in building a knowledge management system to support the innovation process in an organization and web 2.0 as the most technology applied to support organizational KM implementation.

The intense competition between companies in Indonesia in getting the opportunity to become one of the suppliers of multinational companies requires extra value in showing the ability and quality of the company. Many companies don't know the quality and capabilities to compete. PT. XYZ, which has become one of the suppliers in the largest automotive company in Indonesia, also has a similar problem, we found that the company uses performance measurement which is not quite accurate in knowing the actual condition of the company. In this research, we know that performance prism is the right performance measurement for the company, this makes it easier for the company to know which parts need to be fixed immediately to achieve the predetermined targets.

Tourism rests on the natural beauty and uniqueness of a tourist destination, both the environment and the people's socio-culture, hence maintaining sustainability towards a better future. The development of volunteer tourism does not rely solely on tourists' behavior. Nevertheless, it also depends on the uncertainties and consequences as well as emotional connection of what the destination has to offer. So far, the scholars have done little empirical study on this area. Thus, this study tries to undertake a conceptual research on measuring volunteer tourists' behavior by understanding the relationship between the norm activation model and destination attachment and risk perception roles. Therefore, a study on the inclusivity of tourists' attachment to a particular place and perceived risks in volunteer tourism is an essential need to sustain the tourism industry. Constructs affecting the behavior of volunteer tourists are discussed and relevant propositions are made. Managerial implications are suggested, and future research directions are also identified.

This scientific article results from research based on what factors are considered by parents in choosing private universities in Indonesia. This research is a quantitative study using a survey method. Data were analyzed using Factor Analysis. The steps in this research begin with a literature study, determining variables and indicators. Researchers collected data by distributing questionnaires that were presented by existing facts, organized and systematic. Based on factor analysis through statistical tests, it shows several factors that are considered by parents in choosing private universities, namely academic (product), promotion, registration and lecture processes, tuition fees (economy), campus location, and lecturer reputation. Based on the level of importance of the factors, it is known that promotion and product (academic) factors are the main variables on which parents choose private universities for their children; The next factor is the registration process and the learning process.

An early introduction to children's basic activities, including brushing teeth, washing hands, and eating a meal using a spoon, is deemed important. Many methods can be used to introduce these activities, one of which is by using video. The development of Virtual Reality technology provides a new experience in interacting and using computer-based applications. Users can feel the sensation of being in the real world when using the application. This paper discusses designing a recognition system for children's basic activities through VR technology. The method in the design process used the HCD (Human Center Design) method. System testing was emphasized on the user experience (UX) aspect of the application with the teachers at the early childhood education and kindergarten level as the target respondents. UX testing was conducted by taking the parameters of Attractiveness, Perspicuity, Efficiency, Dependability, Stimulation, and Novelty. The results obtained showed 1.41 points for attractiveness, 1.80 points for perspicuity, 1.28 points for efficiency, 1.80 points for Dependability, 1.49 points for stimulation, and 1.39 points for novelty. So that this application can be used as a medium in introducing basic activities to children.

Malaysia's tourism is affected by the Covid19 pandemic and the MCO implementation, where borders are closed and non-essential activities are halted. Negative effects are also felt by Malaysians and are reflected in social media. This study examines two research questions, finding the issues that Twitter users have been addressing on tourism activities during the MCO period and analyze users' sentiment regarding their ability to travel after MCO. 5000 data were extracted manually from 11357 data scraped from Twitter, of which 3243 were pre-processed keywords using RapidMiner. The results show that the topic of the debate focuses on three themes, namely the destination of tourism, future planning, and public emotions. In addition, 63% gave a positive view and 22% negative sentiment on domestic tourism. Overall, users of Twitter gave an optimistic outlook on domestic travel and hoped that Covid19 would soon be over.

As a result of the pandemic Covid19 and the enforcement of Movement Control Order (MCO) in Malaysia, it is difficult for the Ministry of Education to explain the selection of courses at the university. Current systems such as "Selangkah ke UiTM," "eSemak Politeknik" and "EduAdvisor" concentrate only on SPM graduates. As a result, this study proposes a recommendation system that can provide recommendations for the course to suit students' personalities. Diploma of Computer Science students from the Faculty of Computer and Mathematical Science (FSKM) at UiTM Melaka are selected as a case study. This system uses the rule-based approach that took psychometric test results: "Inventori Minat Kerjaya" and mapped it to the traits needed for the five courses offered at the faculty to help students determine the most appropriate course. This prototype system consists of 170 test questions, and the results of the top 3 IMK personalities are chosen to be mapped to the courses offered. Usability and accuracy testing has been carried out at an average rate of 77.5%, and accuracy is 66.7%.

This study aims to analyze the work posture of employees by using Rapid Entire Body Assessment (REBA) and Rapid Upper Limb Assessment (RULA) methods. In this study, the angle of the employee was calculated, and the results showed that on the body part B, the angle of the back movement is 77º flexion, the neck is 18º extension, and the leg is 39º, while the leg is not uniformly supported. One of the body parts, such as the upper arm is formed an angle of 65 ° flexion, the forearm is 13 ° flexion, the wrist is 0 ° flexion, and the wrist is in the intermediate range of rotation. Based on the results of RULA, a grand score is 7, categorized as Action level 4. Meanwhile, based on the results of REBA, the grand score obtained is 11, and also categorized as Action level 4. Based on the calculation of work posture using RULA and REBA methods, it revealed that the operator's work posture has a high-level and dangerous risk. Therefore, the operator needs to immediately improve his work posture. In addition, due to the lifting position that was started with no squatting position, it causes waist injures, since it becomes the lift's pedestal.

This study integrates the educators' digital competency (DC), as an individual characteristic construct of the task-technology fit (TTF) theory, to examine a better fit between Moodle using and teaching task, and to investigate its effect on both Moodle's utilization and their task performance. For assessing our proposed hypotheses, an online survey was conducted with 238 teaching staff from different departments of universities in Malaysia. Using Structural Equation Modelling (SEM), our analysis revealed that all the proposed components (i.e., technology literacy, knowledge deepening, presentation skills, and professional skills) of digital competency significantly influenced the TTF. The Task-Technology Fit was also found as an influential construct, which positively and significantly affected both Moodle's utilization and teachers' task performance. Besides, Moodle's utilization was confirmed to be a substantial determinant of the performance impact. In the end, this study included limitations and future directions based on how the study's contribution can support academics and practitioners for assessing and understanding what particular components of digital competency impact TTF, which in turn may influence the system's utilization and performance impact.

The purpose of this study was to examine the effect of human resource management on supply chain activities. Increasing the level of performance of human resources in the form of employee skills, employee incentives and employee participation affects the level of internal integration, supplier integration and customer integration in a company. This research uses quantitative research methods by distributing questionnaires to employees of PT. SPP whose results were analyzed using the structural equation model method with the application of SPSS AMOS. From the results of the analysis it was concluded that employee skills, employee incentives and employee participation have an influence on internal integration, supplier integration and customer integration.

The tourism industry has undeniably received a hard hit due to the Covid-19 pandemic. Bali is one of Indonesian major tourism destinations, depending on tourism sector for its regional income. The pandemic has paralyzed tourism in Bali. This research aims at exploring how the crisis responses, especially the crisis communication strategy used to manage crisis and regulate its impacts. A qualitative approach was conducted in this research, data collected through interview, observation and literature study. Result showed that crisis history and crisis responsibility and crisis strategy contribute to behavioral intention and reputation toward tourism.

There are many issues affecting the human resources in organizations today. The volatility in the global economy has brought about many changes and the human resources are the most affected. They have to learn to adapt to these changes and cope with the daily pressures. No industry is spared as change is seen as the only constant. This research attempts to ascertain stressors from the perception of nurses at a private hospital in Malaysia. It investigates issues pertaining to their workload, work environment, social support, and manpower. Random sampling determined the sample size from the population frame provided by the hospital's human resource department. Of the 108 nurses selected as respondents only 80 questionnaires were usable. The use of close-ended questionnaires using nominal and interval scales extracted information from the respondents. The data was then analyzed using the SmartPLS 3.3.2. Findings show that workload and manpower availability are stressors among the nurses. The management of the hospitals need to look into these two issues to help overcome the stress faced by the nurses.

The Covid-19 case which initially occurred in China until now has spread to all continents, including Indonesia. Indonesia itself was first affected by the Covid-19 virus in February 2020 which made a crowd in cyberspace including in particular Twitter. Everyone is free to give their opini or opinions about Covid-19 so that it raises many opinions, not only positive or neutral opinions but also negative opinions regarding Covid-19. Social media is now not only used as a means of making friends or making friends, but also used for other activities. The purpose of this research is to build a sentiment analysis method with the theme of the Covid-19 Pandemic on Twitter social media with the most optimal and maximum accuracy. Meanwhile, the benefit is to help Indonesians conduct research on public opinion on Twitter which contains positive, neutral, or negative sentiments. In this study, Text Mining has been used using the Support Vector Machine and Multinomial Naive Bayes method, which is one of the methods used to conduct sentiment analysis. The results of the Support Vector Machine and Naive Bayes Multinomial method used for sentiment analysis are useful for obtaining information and knowledge about Covid-19. The results obtained are that the opinion of the Indonesian people regarding Covid-19 is that the Positive and Neutral amount is more than the Negative with an average of 40% Positive and Neutral while the Negative is 20%. For the calculation of the F-1 average value, it can be seen that the Support Vector Machine method is the best model in this study with a value of 93%. little difference with the Naive Bayes Multinomial method of 92%. It is hoped that this research will continue with more data and use other sentiment analysis methods in order to find out the average results of the opinions of the Indonesian people regarding Covid-19.

This research aims at exploring Video-Based Learning that supports the success of flipped classrooms for Non-English Faculty. This study uses a descriptive qualitative research design with an interpretive-exploratory approach. It was conducted at Bina Nusantara University, Jakarta from March to December 2020. This study begins with the need analysis of qualitative data of the existing course outlines and the comprehensive literature review. After that, this study analyzed the quantitative data collected from the interview of 3 sample lecturers and the questionnaire of 30 sample students. This research found that (1) the Video-Based Learning that supports the success of flipped classroom for Non-English Faculty is urgently needed by students in universities; (2) it should involve some learning characteristics (a) student-centered learning, (b) internet and library access, (c) ecosystem to generate motivation to learn, and (d) contextual learning experiences; and (3) the English Lecturers and Students of Non-English Faculty have positive perceptions on it. Therefore, the Video-Based Learning that supports the success of flipped classrooms for Non-English Faculty should involve some learning characteristics (a) student-centered learning, (b) internet and library access, (c) ecosystem to generate motivation to learn, and (d) contextual learning experiences. The results of this study have implications to provide additional references in making video-based learning that supports the implementation of the flipped classroom.

This study aims to determine the mediating role of customer satisfaction in the relationship between customer trust and customer experience on customer loyalty in Grab transportation in Pekanbaru. The variables of this study include customer trust, customer experience, customer satisfaction, and customer loyalty. This research was conducted in Pekanbaru City. Data were collected through a questionnaire method which was filled independently of 400 respondents using the census / questionnaire method then analyzed by Structural Equation Modeling (SEM) with the help of SPSS 26.0 and Smart PLS 3.2.9. The results of the analysis prove (1) Customer Trust has a positive and significant effect on Customer Satisfaction, (2) Customer Experience has a positive and significant effect on Customer Satisfaction, (3) Customer Satisfaction has a positive and significant effect on Customer Loyalty, (4) Customer Trust has no effect and not significant to Customer Loyalty, (5) Customer Experience has a positive and significant effect on Customer Loyalty, (6) Customer Trust has a positive and significant effect on Customer Loyalty through the Customer Satisfaction variable, (7) Customer Experience has a positive and significant effect on Customer Loyalty through variables Customer satisfaction.

The purpose of this research is to study Quality of Experience and Flow of Experience and their influence on Behavioral Intentions to visit natural and rural destinations for the millennial generation. A total of 156 respondents were assessed and valid for further analysis. The result is that the Quality of Experience determines the satisfaction and behavioral intentions of millennials. Meanwhile, it is recommended that flow of experience be used to influence satisfaction because it has no effect on behavioral intention. The results also show how satisfaction can be a strong mediation of the two independent variables on behavioral intention. This study uses Structural Equation Modeling (SEM) with a Partial Least Square approach using SMARTPLS 3.0. The population of this research is millennials in the Jakarta area and its surroundings. The questionnaire was run while Jakarta was implementing the Health Protocol for distance and movement restrictions to avoid the spread of Covid-19.

This study empirically measures productivity and its decomposition of the SMEs engaged in the creative economic sector across 23 districts/cities in Aceh province, Indonesia over the period 2014-2018. Using Data Envelopment Analysis (DEA) to measure the Malmquist Total Factor Productivity (TFP) index, the study documented a low productivity level SMEs across the province. Although the technical efficiency showed a positive trend, but the declining in their efficiency level has caused only a slight increase in the TFP of SMEs over the study period. These findings suggested that to improve their productivity; the SMEs should continuously enhance efficiency level and technical efficiency by implementing good business governance principles and extensively utilizing ICT facilities, such as online sales and internet of things in their marketing activities. The SMEs should fully utilize existing capital and properly selected and mixed inputs to produce maximum output. Finally, the government should give priority for promoting SMEs in the districts/cities that experienced lower productivity level by providing more financial assistance and regular entrepreneurial and managerial training programs.

This research aims to know the effectiveness of Indonesian learning at university through a multichannel learning model. The multichannel learning model is a form of blended learning. The research method used is the survey research on 495 students who join Indonesian lecture through the multichannel learning model at Bina Nusantara University. The techniques of collecting data are questionnaire and student learning outcome in Indonesian. The questionnaire is used to assess student's perception against the effectiveness of Indonesian learning in higher education through a multichannel learning model. While the learning outcome is tested by using the Paired Sample T-Test to find out whether there is an increase in student learning outcome in Indonesian language which is applied with a multichannel learning model. The result showed that student rated multichannel model learning with a combination of combined lecturer (at 69% index), lecturer (at 78% index), discussion forum, and guide self-learning class (on index 68.6%) as effective in improving Indonesian learning outcome in higher education. For the Paired T-test result, it is known that the Sig (2-tailed) value is 0.000 <0.005, so it can be concluded that the multichannel learning model can improve Indonesian learning outcome in higher education.

The study examines to acknowledge the learning model development of MOOC-based BIPA for Business Communication. This research uses 4D learning model development (define, design, development, and dissemination). The analysis was conducted to the international students of BINUS University International, and further validated by experts and lecturers of the course itself. Based on the need analysis, BIPA for Business Communication program is an intermediate level of BIPA program aiming at preparing students to understand Indonesian actively, gain knowledge of the language and socio-cultural background for business communication purposes. Serving all that purpose, the learning model developed put its axis on the activity in business context. Taking Udemy as the platform for MOOC delivery, the development of learning model is referred to features at Udemy. The elements of learning covers; (1) Video-based learning content; (2) course content; (overview); (4) question and answer; (5) notes, and (6) announcements. In total, 10 topics BIPA for Business Communication can be accessed within the course. Expert validations indicate that BIPA for Business Communication MOOC perceives well, in which the learning model development is 3.75 with the indicator 3,4 < x ⩽ 4,2.

The hospitality industry is one of the main parts in the development of tourism, thus spending a lot of resources and energy on earth. Since the hospitality sector is such a large component of the tourism industry, more focus is given to the impact it has on the environment. This research aims to examine the implementation of Green Hotel Management at The Dharmawangsa Hotel where the selection carried out in an environmentally friendly nature includes from efficiency initiatives, conservation practices. This research conducted by qualitative research method. Information is obtained through case analysis and interviews with hotel manager with guidance from literature review. This research revealed that implementation green hotel management which includes environmentally hotel operational, land use, energy efficiency, air quality, water efficiency, and waste management at The Dharmawangsa Hotel Jakarta has been successful in conducting environmental conservation activities aimed at developing sustainable tourism activities and gain competitive advantages. Through the management of operational activities have been directed to the development of hotels that are sustainable and environmentally to reduce the impact of environmental damage from current natural conditions.

Penglipuran tourism village is internationally recognized as one of the cleanest villages in the world. This study aims to determine the effect of tourist attractions on tourist visiting interests. The research method used is descriptive quantitative. Primary data collection using a questionnaire. The data analysis technique used is the simple linear regression analysis. The results of data processing showed a positive influence between the development of tourist attractions with their interest in visiting by 73,3%. This means that if attractions are developed, the interest in visiting will increase. Suggestions for the managers to come up with new attraction ideas by utilizing the local wisdom of Penglipuran villagers.

This study is motivated by the number of tourist villages in Bali that do not care about sustainability and are not as promoted as eco-villages, instead deteriorating the natural environment due to its development, and aims to analyze the community and tourist perceptions on sustainable tourism in eco-villages of Sanur Kauh village in urban area and of Blimbingsari village in rural area. Differences among community are analyzed based on gender, stakeholder roles, age, and occupation variables, education, tourism conscious. Also, the differences among tourists were analyzed based on gender, origin, age, occupation, education, travel method, and travel urpose. For the two groups, differences in perceptions were analyzed based on the indicators of Attention to Environmental Burden (AEB) and Concern for Conservation Efforts (CCE) that construct the Perceptions of Sustainability questionnaire. The results found that there were significant differences between the Community and the Tourists in terms of AEB (F=26,561; p<0,01), CCE (F=32,508; p<0,01), and Perceptions of Sustainability (F=31,377; p<0,01), and between the community and the community and tourists and tourists both in Sanur Kauh and Blimbingsari in terms of AEB (F = 113,490; p <0.01), CCE (F = 96.540; p <0.01), and Perception on sustainable tourism (F=111,294; p<0,01). However, the difference between the community and tourists in both Sanur Kauh and Blimbingsari only occurred in terms of CCE (F=11.809; p<0.01) and Perception of Sustainability (F=5.831; p<0.05). Thus, the difference in perceptions of sustainable tourism influenced by the village's location and environment. People and tourists in rural areas have better perception than those in urban areas.

Malioboro is one of the very famous tourist attractions in Yogyakarta and very crowded. Having an atmosphere and lots of culinary or snacks makes it a lot to visit, especially on holidays. Helping visitors find an empty parking space in addition to using the parking reservation feature by thinking of time limits and also alternative parking if the parking conditions around Malioboro are full. Internet of Things (IoT) technology and sensors are used to find information about the availability of database updates about parking capacity based on parking bag conditions. This paper tries to discuss and find a solution by offering an alternative, Parking-RR that can help anyone find a parking space according to the type of vehicle based on data obtained from sensors that are installed and can be seen through Cellular Applications. Parking-RR provides a solution for road users to find parking in the Malioboro area. The simple application display makes it easy for users to access.

The development of information and data communication technology field in the world has now increasingly led to the development of the Internet of Things devices. The development of network technology in an organization/university has triggered the need for a system that can monitor computer networks and their devices in an organization/university environment that is quite extensive and complex. At this time, network monitoring becomes quite difficult to do if the computer network in a corporate environment has become very broad and complex. The wider the network and the complex network and multimedia topology that is built, the more difficult it is for network administrators to monitor the network. However, in its application to build a monitoring system it will require devices and hardware and computer requirements and specifications that are above average, which of course will also require substantial costs and large resources as well. In this research, a network monitoring and bandwidth management system will be built by using Raspberry-Pi and Icinga as the main modules in network management. Raspberry Pi is an alternative of computers that has many capabilities and has a high ability which is generally used as a Mini-Server at a very cheap price when compared with existing servers. And Icinga is an open source-based application platform that functions to monitor various types of variables contained in servers and infrastructure of the network such as availability and performance and provides easy access for network administrators to important data and to improve maintenance of network conditions. So, it is hoped that by applying this, a good and optimal network monitoring and bandwidth management tool can be produced at a low cost.

The paper aims to measure the quality of the "Application of software cost estimation (AoSCE)" produced by the author in the previous study. The quality characteristics measured include usability, efficiency, and portability using the ISO 9126-1 standard. The measurement results indicate that the three characteristics are good, but the usability characteristics still need improvement. The interesting of this paper is that testing procedures and worksheets can be applied to measure the quality of other software by adjusting the conditions of the test object.

Measuring water level is an important component in various applications, especially in hydrological applications. There are various methods of measuring surface water levels, from contact methods to non-contact methods, each has various techniques depending on the measuring instrument used. Among the available techniques, the use of the Near-IR LiDAR for distance measurement has potential uses because it can be used without direct contact with water. In this study, Near-IR LiDAR (850nm) was tested to determine its suitability as a water level sensor. Measurements were tested for variations in water patterns and turbidity. Although water has a low reflectivity for infrared radiation, it was found that in this study there was still the possibility to be able to detect surface water under certain conditions. In the dynamic water test, the measurement error is <10%. In the turbidity test, minimal information on turbidity that can be used by Near-IR LiDAR to detect the water level is 700 NTU with a measurement error of 5.2%.

This study was conducted to evaluate the usability of health care apps and its significance in the field of health care. As health care centers are the settings working 24/7 for providing health services to patients. For this study a systematic review, comparison and functionality assessment of selected COVID19 mobile apps was performed. The assessment was performed on two digital platforms, App store on Apple iPhone and Google play store on Android smartphones. Further online search of keywords on Google was also conducted in order to ensure the reliability and validity of apps on these stores. And only those apps were selected which were in English because of the language proficiency of authors. The mobile apps selected were having five features of assessment, a questionnaire, Privacy statement, Precautionary measures if test positive for COVID19, after plans of Pandemic and Region based. The sample was a blend of participants from different fields including students, doctors, patients and software developers. This is quantitative study; a questionnaire was distributed among the selected participants who were familiar with the use of health care mobile apps. The data was analyzed on the basis of gender and age. The results were made on the basis of responses towards effectiveness, efficiency and satisfaction of users towards mobile phone apps. The results show that apps were found 64.5% informative for participants as they helped in fast communication of doctors and patients while sitting at the other corner of world.

Fish is a food source that is widely consumed by Indonesians and overseas. Fish is widely liked because fish provides many health benefits. The problem that is often faced is the drying process of fish, so far the traditional manual drying of fish takes a long time, if the drying process uses sunlight, the drying can take a long time between 4-7 days until the water content reaches 10%. One method of dealing with the problem is the design of IoT-based monitoring and the design of an automatic fish drying device using Fuzzy Logic. The temperature and humidity control system in fish dryers to describe the problem of controlling changes in temperature and humidity that fluctuate throughout the day as happened during the transition period. To realize the fuzzy logic on automatic temperature and humidity control in fish dryers, a sensor is needed as the system input in the form of a DHT22 sensor, and a NodeMCU microcontroller is also needed to implement the fuzzy system into a programming language that can be accepted by hardware in the form of a heating element. Internet of Thing (IoT) based fish dryer monitoring system to control temperature and humidity, weather, on fish dryer using a smartphone. From the experiments carried out on system testing by comparing with the thermometer, the relative error rate of the temperature system is 1.62% and the humidity is 1.96% which indicates the system is successful according to the design.

Web3D site which uses standard format has begun to elicit difficulties for some users, coupled with browser compatibility that is increasingly narrowing. This also happened on the sites which represented an institution in the form of a virtual college campus. For the campus Web3D to keep providing its services and facilitate access to more prospective users in the future, an update is needed that requires major changes. This can be done by the use of different technology approach which has wider features and possibilities of use. In this research, an experiment was first carried out to see the prospect of using it on the campus Web3D site. Furthermore, the prototype world using newer format was developed and then tested in a variety of browsers that are currently widely used. The resulting world was able to be displayed on more browsers and platforms, and it kept the same complexity which leads to similar appearance and functionality as the previous one. Performance decrease did occur, so further optimization was needed.

The PHP programming language is now widely used by agencies and companies around the world. To distribute applications made using PHP must use the source code so that it is prone to theft of works. If the source code is found by the programmer, it will be a big problem because it can indirectly find a hole in the security of a system from the source code. To solve this problem, the source code was coded so that the source code could not be easily copied by other parties. One of the ways to encode the source uses a combination of the Merklee-Hellman Knapsack algorithm, Discrete Logarithm and character modification to obtain complex encryption

The goal of this article is to discover an acceptance and preference of consumer towards innovative products of slice strawberry jam. While an ordinary fruit preserves often made as a jam. Sliced jam is a new way of fruit preservation to consume. Through an organoleptic study, the paper starts to examine and compare between an original product of strawberry jam to sliced jam. A quantitative tradition of research employs an experimental approach to eighty untrained respondents. Data analysis and validity were generated from SPSS statistic software to measure the result of questionnaires towards a favorite between the two and its characteristics such as texture, taste, smell, and color. The findings reveal that the new form of strawberry jam slices is favored among the major respondents. The strawberry jam slice's texture, taste, smell, and color also attract the consumerism. Despite the limitation of the study, the article introduces a new way of consuming strawberry fruits preservation products. Thus, the research discussion would take forward business development idea, particularly on fruit preserves preparation.

Air pollution is one of the world's problems, not just one location. This air pollution is caused by pollutants that are harmful to human health and the environment. Some pollutants are most influential, namely particulate matter, ground-level ozone, carbon monoxide, sulfur dioxide, and nitrogen dioxide. Several countries decided to lock down when the COVID-19 outbreak was announced simultaneously throughout the world like a pandemic. In Jakarta, Indonesia applies large-scale social restrictions (PSBB). The resulting impact is a drastic reduction in air pollution on air quality. This paper aims to predict air quality during the COVID-19 outbreak in Jakarta using long short-term memory (LSTM) machine learning. The evaluation of the LSTM model used in this paper is the root mean square error (RMSE). The results obtained show that the Adam optimizer can bring the prediction results closer to the dataset used.

Knee Osteoarthritis (OA) is a chronic disease of femoral knee cartilage impairment and can be analyzed with Magnetic Resonance Imaging (MRI). Early detection of the disease helps patient from severe damages. Hence segmentation of knee cartilage is based on pixels of the image. We propose a Femoral Knee Cartilage degeneration method by 3 components: Preprocessing is done to standardize intensity and spatial characteristics and then Segmentation is carried out by registration, transformations and wrapping of reference image and results are verified using Dice Similarity Coefficients; Cartilage thickness is visualized by clouds using morphology and relaxometry. This paper aims at analyzing the femoral segmented cartilage thickness and volume via Pearson coefficients. Ground truth segmentation resulted in an average DICS Coefficient of 0.86. Pearson's coefficients were 0.96 for cartilage thickness and 0.98 for cartilage volume.

One of the materials essential for human life that must manage properly is the land. Land use and land cover (LULC) classification can help us how to manage land. The satellite can record images that can use as the data for LULC classification. This research aims to perform LULC classification using Convolutional Neural Network (CNN) on EuroSAT remote sensing image dataset taken from the Sentinel-2 satellite. CNN has become a well-known method to deal with image feature extraction. We used several CNN for feature extraction, such as VGG19, ResNet50, and InceptionV3. Then, we recalibrated the feature of CNN using Channel Squeeze & Spatial Excitation (sSE) block. We also used Support Vector Machine (SVM) and Twin SVM (TWSVM) as the classifier. VGG19 with sSE block and TWSVM achieved the highest experimental results with 94.57% accuracy, 94.40% precision, 94.40% recall, and 94.39% F1-score.