bluuebunny/crossref_metadata_2025_split huggingface dataset:
Potential possibility of using terrestrial laser scanning in petrography
Authors: Tolisz J. , Kasza D. 
Published: April 2021

Abstract
Terrestrial laser scanning is a wide spectrum tool, applied at present both in engineering and medicine. This work presents the results of a laboratory test that was aimed at assessing the potential of using this measurement technique for the identification of petrographic varieties. Rock samples were measured with the application of a Leica ScanStation C10 scanner. Values of the intensity index obtained from point cloud data were subject to statistical analysis. The main focus was posed on comparative analyses of samples from the same petrographic varieties collected from different localities, as well as on the influence of colour and surface humidity of the samples on the change of intensity index values.
Flood Damage Assessment for Pergau Hydroelectric Power Project using HEC-FIA
Authors: Sidek L M , Yalit M R , Djuladi D A , Marufuzzaman M 
Published: April 2021

Abstract
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.
Tourism Branding: A Strategy of Regional Tourism Sustainability Post COVID-19 in Yogyakarta
Authors: Isdarmanto  , Susanto D R , Kiswantoro A 
Published: April 2021

Abstract
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.
Tourism Hospitality Industry Supply Chain in Pandeglang Regency After Tsunami 2018
Authors: Rosyidie A , Sagala S , Azhari D , Ramadhani A , Prabu A , Novianto K , Rinaldy T K 
Published: April 2021

Abstract
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.
Ant Colony Optimization Algorithm Implementation for Distribution of Natural Disaster Relief Logistics in Jombang Regency Web Base
Authors: Ali M , Sucipto H 
Published: April 2021

Abstract
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.
HVAC interference assessment on a buried gas pipeline
Authors: Abdullah N 
Published: April 2021

Abstract
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.
Analysis of Future Income Forecast for Indonesian Tourism Industry – A Neural Network Research on Tourism Digital Economy
Authors: Hidayat T , Mahardiko R , Alaydrus M 
Published: April 2021

Abstract
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.
Indonesian’s Parent Consideration: The Decision About Private University Choice for Their Children
Authors: Jati R P , Vera N , Mariani D 
Published: April 2021

Abstract
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.
The Design of Recognition System of Children Basic Activities Based on Virtual Reality
Authors: Martono K T , Eridani D , Isabella D I S , Alfian H 
Published: April 2021

Abstract
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.
Digital competency of educators in the virtual learning environment: a structural equation modeling analysis
Authors: Hizam S M , Akter H , Sentosa I , Ahmed W 
Published: April 2021

Abstract
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.
Toward New Normal: Bali Tourism Goes Extra Mile
Authors: Handayani F , Sylvina V , Lestari A 
Published: April 2021

Abstract
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.
Analysis Of Public Sentiment About Covid-19 In Indonesia On Twitter Using Multinomial Naive Bayes And Support Vector Machine
Authors: Damanik F J , Setyohadi D B 
Published: April 2021

Abstract
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.
Video-Based Learning That Supports the Success of Flipped Classroom for Non-English Faculty
Authors: Aryusmar  , Luke J Y , Pawestri N , Sela S T 
Published: April 2021

Abstract
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.
An Analysis of Customer Satisfaction and Loyalty of Online Transportation System in Pekanbaru, Indonesia
Authors: Hamzah M L , Purwati A A , Jamal A , Sutoyo  , Rizki M 
Published: April 2021

Abstract
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.
Measuring and Decomposing SMEs’ Productivity in Creative Economic Sector in Indonesia
Authors: Majid M S A , Faisal F , Fahlevi H , Azhari A 
Published: April 2021

Abstract
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.
The Effectiveness of Multichannel Learning Model at Higher Education
Authors: Ningsih R Y , Rahmat A , Boeriswati E 
Published: April 2021

Abstract
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.
Comparative Study: Perception on Sustainable Tourism of Urban and Rural Eco-Villages in Bali
Authors: Halim D K , Ervina E 
Published: April 2021

Abstract
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.
Parking-RR: Mobile Application Malioboro Smart Parking Based on IoT Technology
Authors: Pariama R E , Manaha R , Suyoto  
Published: April 2021

Abstract
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.