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All Journal MANAJEMEN HUTAN TROPIKA Journal of Tropical Forest Management Sodality: Jurnal Sosiologi Pedesaan MANAJEMEN IKM: Jurnal Manajemen Pengembangan Industri Kecil Menengah Jurnal Ilmu dan Teknologi Kelautan Tropis IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Ilmu Sosial dan Humaniora Jurnal Kawistara : Jurnal Ilmiah Sosial dan Humaniora Journal of Indonesian Tourism and Development Studies JURNAL ELEKTRO Jurnal Perkotaan Jurnal Kebijakan dan Administrasi Publik AdBispreneur PAX HUMANA ARISTO JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Komunikasi Kritis Humaniora MUWAZAH: Jurnal Kajian Gender Cakrawala Jurnal Penelitian Sosial Building of Informatics, Technology and Science Jurnal Mantik Journal of Information Systems and Informatics Jurnal Studi Sosial dan Politik Jurnal Teknik Informatika C.I.T. Medicom JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) EKONOMI, KEUANGAN, INVESTASI DAN SYARIAH (EKUITAS) Jurnal Sistem Komputer dan Informatika (JSON) JOURNAL OF BUSINESS AND ECONOMICS RESEARCH (JBE) Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Cita Ekonomika: Jurnal Ilmu Ekonomi ARBITRASE: JOURNAL OF ECONOMICS AND ACCOUNTING International Journal on Social Science, Economics and Art KLIK: Kajian Ilmiah Informatika dan Komputer International Journal of Basic and Applied Science Indonesian Journal of Tourism and Leisure Jurnal InterAct Jurnal Sosiologi Engagement: Jurnal Pengabdian Kepada Masyarakat JKAP (Jurnal Kebijakan dan Administrasi Publik) Jurnal Kawistara Muwazah: Jurnal Kajian Gender
Yerik Afrianto Singgalen
Universitas Katolik Indonesia Atma Jaya
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Physics Public Health Social Sciences Other

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Implementing Rapid Application Development (RAD) for Statistical Analysis of Tourism and Travel Vlog Content Singgalen, Yerik Afrianto
Journal of Information System Research (JOSH) Vol 5 No 2 (2024): Januari 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i2.4787

Abstract

Technological developments have sparked creativity through innovation in tourism marketing strategies through various video content. There have not been many studies that use video statistical data as a reference to create other creative content and identify opportunities to increase viewers and subscribers to access a broader range of system users. This research offers ideas for designing Tourism and Travel Vlog Content Statistical Analysis using the Rapid Application Development (RAD) approach. The stages in the RAD method consist of the requirements planning stage, user design stage, construction stage, and cutover stage. This study's results show that user needs identification shows the need for Author Channel data, statistics, and relation patterns that can be used in Social Network Analysis (SNA). At the user design stage, the dashboard design creates a page where images or background videos are taken in content to SNA and Chain Network pages. In the construction stage, design is carried out according to the use case diagram to manage data and make data as helpful information in identifying publication opportunities so that the video rating made is by tourist preferences so that it can trigger intentions to visit tourist sites. At the cutover stage, testing the features and functions of the application is carried out; the test results show that all pages can be accessed without any problems. Thus, this application can analyze statistical data of content published on various platforms. This application generally benefits content creators who consider statistical information in addition to popular content design.
Influence Analysis of the Teacher Ratio and Facilities on Failure to Pass the Class Using Multiple Linear Regression Suni, Eugenius Kau; Sutresno, Stephen Aprius; Christanto, Henoch Juli; Singgalen, Yerik Afrianto
Journal of Information System Research (JOSH) Vol 5 No 3 (2024): April 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i3.4989

Abstract

The quality of education needs to be observed and maintained in building an effective teaching and learning environment. There are several factors that can affect the quality of education in a school, such as the availability of human resources, supportive learning facilities, environmental conditions, and various other factors. The focus of this research is on the ideal number of teachers in a school, considering the number of students and the availability of facilities such as laboratories and libraries, which will be correlated with the failure to pass the class rate. Data were obtained from the official website of the Kemdikbudristek regarding educational statistics, comprising 29 districts in Tangerang Regency for the academic year 2023/2024 at the senior high school level. The analysis was conducted using multiple linear regression, and it was found that the variables "availability of laboratory" and "availability of library" did not correlate with the failure to pass the class rate, whereas the "teacher ratio" variable correlated with the failure to pass the class rate with a value of +0.46. This can be explained that for every increase of 1 unit in the teacher ratio variable, or in other words, the fewer teachers teaching in a school compared to the number of students, the failure to pass the class rate will also increase by 0.46 students. Therefore, the results of this research can provide input for schools, especially in Tangerang Regency, to pay attention to the number of teachers in each school.
Sentiment and Topic Analysis of Aftermovie Piala Presiden eSports 2019 (Onic Esport) Setiawan, Ruben William; Rahadi, Abigail Rosandrine Kayla Putri; Singgalen, Yerik Afrianto
Journal of Information System Research (JOSH) Vol 5 No 3 (2024): April 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i3.5036

Abstract

This research addresses the research problem of sentiment classification and topic analysis in the context of the Aftermovie Piala Presiden Esports 2019 (Onic Esport), employing the CRISP-DM methodology. Leveraging a dataset comprising 1830 posts, sentiment analysis was conducted on 191 posts using Vader and TextBlob algorithms, revealing the distribution of polarity values: 7.41% negative, 58.02% neutral, and 34.57% positive sentiments. Furthermore, the study evaluates the performance of classification algorithms, such as k-nearest Neighbors (k-NN), Support Vector Machine (SVM), and Decision Tree (DT), utilizing SMOTE. Notably, SVM demonstrated an accuracy of 90.34%, AUC of 0.995, precision of 99.91%, recall of 80.77%, and F-measure of 89.29%. Similarly, DT exhibited an accuracy of 94.83%, AUC of 0.950, precision of 92.12%, recall of 98.12%, and F-measure of 95.00%. K-NN displayed an accuracy of 92.83%, AUC of 0.972, precision of 98.01%, recall of 87.46%, and F-measure of 92.42%. The analysis also revealed frequently used words in the dataset, including 'onic' (127 occurrences), 'udil' (95 occurrences), and 'piala' (28 occurrences). This study sheds light on sentiment patterns and prevalent topics among esports enthusiasts, offering insights for content optimization and event management strategies.
Sentiment and Toxicity Analysis of Sport Event MotoGP Mandalika Circuit Using Cross-Industry Standard Process for Data-Mining Singgalen, Yerik Afrianto
Journal of Information System Research (JOSH) Vol 5 No 3 (2024): April 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i3.5056

Abstract

This research identifies a research gap in understanding the impact of contextual factors on sentiment and toxicity within online discussions of sports events, focusing on the MotoGP event in Mandalika. By exploring how contextual nuances influence public sentiment and toxicity levels, this study aims to enhance the effectiveness of online discourse management and improve user experiences in digital platforms hosting event-related content. This research investigates the nuances of public sentiment and toxic language within textual data, specifically focusing on content videos of the MotoGP event held in Mandalika. Methodologically, the study embraces the CRISP-DM framework, facilitating structured data analysis, model development, and subsequent deployment. The findings reveal promising outcomes in terms of the performance of machine learning algorithms; notably, the k-NN algorithm attains an accuracy rate of 94.33%, precision of 96.48%, recall of 92.01%, f-measure of 94.19%, and an AUC score of 0.982. Similarly, the Support Vector Machine (SVM) demonstrates commendable accuracy, achieving 87.54%, precision of 99.53%, recall of 75.45%, f-measure of 85.82%, and an AUC score of 0.986. Furthermore, the toxicity analysis uncovers varying levels of harmful language, ranging from 0.01229 to 0.08933. These findings underscore the imperative nature of considering both sentiment dynamics and toxicity in managing online discourse effectively and enhancing user experiences across digital platforms. The sentiment analysis underscores the importance of understanding and effectively managing public emotions in the context of sports events like MotoGP. By acknowledging and addressing positive and negative sentiments, event organizers can better engage with their audience, mitigate potential issues, and ultimately enhance the overall experience for all involved.
Design and Implementation of Coffeeshop Management System Prototype Using Rapid Application Development Singgalen, Yerik Afrianto
Journal of Information System Research (JOSH) Vol 5 No 3 (2024): April 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i3.5065

Abstract

This research focuses on designing and implementing a coffee shop management system using the Rapid Application Development (RAD) methodology. Through meticulous planning, user-centric design, and rigorous testing, the system addresses the specific operational needs of coffee shops, including supplier management, inventory tracking, sales analysis, employee scheduling, and the optimization of coffee shop management through digital systems. Following the RAD methodology, the prototype design undergoes iterative stages such as requirement planning, user design, construction, and cutover. Integrating Geographic Information Systems (GIS) enhances functionality by providing spatial visualization of supplier and staff locations. Additional features such as menu management and equipment maintenance tracking contribute to operational efficiency. This study underscores the importance of technological solutions in streamlining coffee shop operations and optimizing decision-making. Future research will focus on refining the system based on user feedback and evolving business requirements to ensure its effectiveness.
Design and Implementation of Project Management for Self-Branding Website Using Rapid Application Development Singgalen, Yerik Afrianto
Journal of Information System Research (JOSH) Vol 5 No 3 (2024): April 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i3.5075

Abstract

This research investigates the implementation of the Rapid Application Development (RAD) methodology in the context of website management for personal branding. The background of the study elucidates the increasing importance of personal branding in the digital age and the role of websites as crucial platforms for individuals to showcase their expertise and establish their online presence. Against this backdrop, the research explores how the RAD methodology is applied to streamline the development and management of personal branding websites, emphasizing its iterative, collaborative, and time-efficient approach. The study delves into the principles and phases of RAD, highlighting its suitability for website development projects characterized by evolving requirements and tight timelines. By employing a qualitative research approach, including interviews, surveys, and case studies, the research examines the experiences and perspectives of individuals and organizations utilizing RAD in their website management endeavors for personal branding purposes. The findings reveal several critical insights into implementing RAD in website management for personal branding. Firstly, RAD enables rapid prototyping and iteration, facilitating the timely development and deployment of websites tailored to individual branding needs. Secondly, RAD promotes collaboration and user involvement, ensuring that websites effectively meet user requirements and preferences. Thirdly, RAD's iterative nature allows for flexibility and adaptability, enabling individuals to respond promptly to changes in branding strategies and market dynamics. Overall, the research underscores the significance of RAD as a valuable methodology for developing and managing personal branding websites. By leveraging RAD's iterative, collaborative, and time-efficient approach, individuals create dynamic and engaging online platforms that effectively communicate their expertise, values, and unique brand identity. The findings offer valuable insights and recommendations for practitioners, researchers, and organizations seeking to enhance their branding efforts through effective website management strategies.
Distribution of Polarity Value between VADER and TextBlob in Sentiment Classification of Tourist Vlog Content Reviews Singgalen, Yerik Afrianto
Journal of Information System Research (JOSH) Vol 5 No 4 (2024): Juli 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i4.5501

Abstract

This research employs sentiment analysis techniques to examine audience perceptions across three videos featuring tourist vlog content. Utilizing the CRISP-DM framework, the study compares the performance of VADER and TextBlob in sentiment classification, analyzing the distribution of polarity values and agreement levels between the two models. The findings reveal varying proportions of negative, neutral, and positive sentiments across the videos, with VADER and TextBlob demonstrating fair agreement levels ranging from 64.97% to 72.60%. These results underscore the importance of employing diverse sentiment analysis tools and language-specific models for accurate sentiment classification. The research contributes valuable insights for content creators, marketers, and analysts in understanding audience sentiments and shaping content strategies effectively.
Project Monitoring and Assessment System Design Using Rapid and Participatory Application Development Framework Singgalen, Yerik Afrianto
Journal of Information System Research (JOSH) Vol 5 No 4 (2024): Juli 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i4.5505

Abstract

This study investigates the implementation of Rapid and Participatory Application Development (RPAD) in educational settings, emphasizing its urgent necessity in enhancing project-based learning environments. Given the rapid pace of technological advancements and the evolving demands of modern education, there is an urgent need for innovative methodologies that can effectively integrate digital tools into the learning process. RPAD's iterative development process and active user involvement ensure the creation of functional and user-centric applications. The findings demonstrate that RPAD facilitates timely feedback, continuous improvement, and the effective integration of digital tools, enriching the learning experience and aligning theoretical knowledge with real-world applications. This methodology drives substantial improvements in teaching methodologies and student engagement and ensures that educational institutions remain adaptive and future-ready. The study concludes that adopting RPAD is crucial for enhancing the effectiveness and relevance of contemporary education, addressing current challenges, and preparing for future demands.
Implementation of Perspective, Vader, and TextBlob in Toxicity and Sentiment Analysis of Food and Tourism Singgalen, Yerik Afrianto
Journal of Information System Research (JOSH) Vol 5 No 4 (2024): Juli 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i4.5632

Abstract

This research investigates the sentiment and toxicity of viewer responses to digital content on food and tourism using the Digital Content Reviews and Analysis Framework. Employing advanced text processing and sentiment analysis models such as Perspective, TextBlob, and Vader, the study analyzed 4,166 comments. The findings reveal a predominantly positive viewer sentiment, with VADER identifying 18.98% negative, 21.33% neutral, and 59.69% positive sentiments, while TextBlob identified 14.42% negative, 33.86% neutral, and 51.72% positive sentiments. The toxicity analysis highlighted various levels, with an average toxicity score of 0.15783 and notable scores for severe toxicity, identity attack, insult, profanity, and threat. The research underscores the importance of comprehensive sentiment analysis in understanding viewer engagement, providing valuable insights for content creators and marketers in the tourism industry. The study concludes with recommendations for further exploration and refinement of sentiment analysis methodologies to enhance the understanding and management of digital content interactions.
Analyzing Social Networks and Topic Clustering in Backpacker Tourism Content Reviews using K-means, Fast HDBScan, and Gaussian Mixture with Communalytic Singgalen, Yerik Afrianto
Journal of Information System Research (JOSH) Vol 6 No 1 (2024): Oktober 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i1.5969

Abstract

This research explores the integration of social network analysis and topic clustering techniques to provide novel insights into digital interactions and thematic trends within the context of backpacker tourism. Utilizing a structured framework, 3,575 records across three content IDs (c2ZMFDS_3rU, Sv_yxz7T8rU, and i9t9pbdo-bk) were processed and classified into 10 clusters using k-Means, Fast HDBScan, and Gaussian Mixture algorithms. Social network analysis was performed on 4,224 actor nodes and 395 edges, highlighting the role of key influencers in driving conversations while revealing the participation patterns of a larger, less engaged audience. The topic clustering revealed distinct themes, including budget travel, off-the-beaten-path destinations, and sustainable tourism, with each algorithm offering unique insights into the structure of the data. The novelty of this research lies in applying these computational methods to backpacker tourism, traditionally analyzed through qualitative approaches, to uncover how thematic discussions propagate within digital communities. By integrating these techniques, the study provides a deeper understanding of how key topics resonate with backpackers and how social interactions influence the spread of ideas. The findings offer valuable implications for content creators and tourism marketers seeking to engage this niche travel demographic more effectively. This work contributes a scalable, data-driven methodology for analyzing traveler behavior and preferences in virtual environments, enhancing the field of backpacker tourism research.
Co-Authors A.Y. Agung Nugroho Agnes Harnadi Agnes Harnadi Agung Mulyadi Purba Alfonso Harrison Aloisius Gita Nathaniel Astuti Kusumawicitra Astuti Kusumawicitra Astuti Kusumawicitra Laturiuw Astuti Kusumawicitra Laturiuw Bernardus Alvin Rig Bernardus Alvin Rig Biafra Daffa Farabi Biafra Daffa Farabi Billy Macarius Sidhunata Brito, Manuel Charitas Fibriani Christanto, Henoch Juli Christine Dewi Danny Manongga Dasra, Muhamad Nur Agus Eko Sediyono Eko Widodo Elfin Saputra Elfin Saputra Elly Esra Kudubun Fang, Liem Shiao Faskalis Halomoan Lichkman Manurung Gatot Sasongko Gilberto Dennis G E Sidabutar Gintu, Agung Rimayanto Gudiato, Candra Henoch Juli Christanto Henoch Juli Christanto Heru Prasadja Heru Prasadja, Heru Hindriyanto Dwi Purnomo Hironimus Cornelius Royke Irene Sonbay Irwan Sembiring Jesslyn Alvina Seah Jonathan Tristan Santoso Juli Christanto, Henoch Kartikawangi, Dorien Kusumawicitra, Astuti Manuel Brito Marthen Timisela Mavish, Steven Michael Kenang Gabbatha Nantingkaseh, Alfonso Harrison Nicolas Arya Nanda Susilo Nugroho, A. Y. Agung Octa Hutapea Octa Hutapea Pamerdi Giri Wiloso Pamerdi Giri Wiloso Pamerdi Giri Wiloso, Pamerdi Giri Pedro Manuel Lamberto Buu Sada Pinia, Nyoman Agus Perdanaputra Pontolawokang, Theresya Ellen Pristiana Widyastuti Pristiana Widyastuti Purwoko, Agus Puspitarini, Titis Radyan Rahmananta Radyan Rahmananta Rafael Christian Rahadi, Abigail Rosandrine Kayla Putri Rahmadini, Asyifa Catur Richard Emmanuel Adrian Sinaga Rosdiana Sijabat Samuel Piolo Seingo, Martha Maraka Setiawan, Ruben William Siemens Benyamin Tjhang Sri Yulianto Joko Prasetyo Stephen Aprius Sutresno, Stephen Aprius Suharsono SUHARSONO Suni, Eugenius Kau Tabuni, Gasper Tharsini, Priya Timisela, Marthen Titi Susilowati Prabawa Titis Puspitarini Widodo, Eko Winayu, Birgitta Narindri Rara Yan Dirk Wabiser Yoel Kristian Zsarin Astri Puji Insani