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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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Pandemi Covid-19 dan Keberlanjutan Bisnis Mikro-Kecil di Kota Sejarah Gastronomi: Pendekatan Penghidupan Berkelanjutan Singgalen, Yerik Afrianto
MANAJEMEN IKM: Jurnal Manajemen Pengembangan Industri Kecil Menengah Vol. 17 No. 1 (2022): Manajemen IKM
Publisher : Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/mikm.17.1.33-41

Abstract

The Covid-19 pandemic causes challenges and threats to micro and small businesses' unsustainability. This study aims to describe the dynamics of micro and small business actors in maintaining business continuity based on a sustainable livelihood framework. This research is located in Salatiga City, Central Java Province, Indonesia. The research method used is qualitative, with a case study approach to traditional culinary businesses and coffee shops. These findings indicate that the Covid-19 pandemic urges the government to take a Large-Scale Social Restrictions (PSBB) policy to the Enforcement of Community Activity Restrictions (PPKM) policy. Also, the obligation to implement health protocols to Clean, Health, Safety, and Environment (CHSE) certification for food and beverage businesses. The policy has limited the mobility and access capabilities of traditional culinary business entrepreneurs and coffee shops to social capital and financial capital, as observed by several culinary businesses and coffee shops that showed a quiet condition of visitors during the PPKM in force. To maintain business continuity during the pandemic, coffee shop entrepreneurs innovate products and business processes by utilizing digital platforms for online marketing; some culinary businesses and coffee shops use service on-demand applications to market food and beverages so that they can be accessed by buyers and still earn income during the PPKM applies. Thus, it shows that diversification and intensification are needed to support sustainable businesses and livelihoods during the Covid-19 pandemic.
Pendekatan Komunikasi Interpersonal dalam Pembangunan berdasarkan Perspektif Kultural (Studi Kasus : Pro-Kontra Pengembangan Pariwisata Pulau Meti di Kabupaten Halmahera Utara) Singgalen, Yerik Afrianto
Jurnal InterAct Vol. 9 No. 1 (2020): Jurnal InterAct
Publisher : School of Communication - Atma Jaya Catholic University of Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/interact.v9i1.1707

Abstract

This article aims to describe the interpersonal communication approach for development based on the perspective of the Hibualamo culture forthe people of Meti Village in the case of the pros and cons of tourism development on Meti Island in North Halmahera Regency. The researchmethod used is qualitative with a case study approach. Meanwhile, the data collection technique used in-depth interviews, observation anddocument study. The results of this study indicate that the existence of the Tourism Industry in this case Meti Cottage on Meti Island canincrease regional investment and maintain environmental sustainability, but it has not been able to provide economic and social benefits for localcommunities because of the pros and cons. Culturally, the interpersonal communication approach plays an important role in the level of publicacceptance of increasing investment in the tourism industry. However, the conflict between the manager of the tourist attraction and thecommunity related to empowerment and resource use has resulted in a disintegration of interests for sustainable tourism.
Implementation of SVM, k-NN, and DT for Toxicity and Sentiment Classification of AWA Vlog Content in Wasur National Park Singgalen, Yerik Afrianto
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 2 (2024): April 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i2.7434

Abstract

This study delves into the response of viewers to video content focusing on Wasur National Park in Papua, Indonesia, with a particular emphasis on its implications for livelihood and ecology. The increasing popularity of online platforms such as YouTube has provided a medium for content creators to showcase natural landscapes and cultural heritage, potentially influencing viewers' perceptions and behaviors toward conservation efforts. Employing the CRISP-DM (Cross-Industry Standard Process for Data Mining) framework, this research systematically analyzes a specific video from the AWA channel, known for its documentaries on environmental and cultural topics. The methodology involves sentiment analysis to gauge viewers' emotional responses, toxicity assessment to identify harmful content, and thematic coding to categorize comments based on recurring themes. The analysis reveals that viewers engage with the content positively, expressing appreciation for the video's educational and visually compelling nature. Moreover, the study identifies various dimensions of toxicity within the dataset, including Toxicity (0.05364), Severe Toxicity (0.00629), Identity Attack (0.02250), Insult (0.03534), Profanity (0.03589), and Threat (0.01280). Furthermore, the performance of the Support Vector Machine (SVM) with Synthetic Minority Over-sampling Technique (SMOTE) is highlighted, demonstrating its effectiveness in classifying sentiment with an accuracy of 93.86%, precision of 100.00%, recall of 87.73%, f-measure of 93.44%, and an Area Under the Curve (AUC) value of 1.000. This research underscores the significance of balanced media portrayals in fostering positive attitudes toward environmental conservation and cultural preservation.
Sentiment Classification of The Capsule Hotel Guest Reviews using Cross-Industry Standard Process for Data Mining (CRISP-DM) Singgalen, Yerik Afrianto
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 1 (2024): Januari 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i1.7329

Abstract

Technology advancements empower hotel accommodation service managers to undertake innovative initiatives to enhance guest appeal and ensure safety and comfort. One manifestation of such innovation is exemplified by The Capsule Hotel, which offers novel experiences to both domestic and international tourists. This research seeks to assess the sentiments of guests at The Capsule Malioboro, employing the Cross-Industry Standard Process for Data Mining (CRISP-DM) methodology and the Support Vector Machine (SVM) technique with Synthetic Minority Over-sampling Technique (SMOTE) operators. The findings demonstrate that when operated without SMOTE, the SVM algorithm yields a confusion matrix displaying an accuracy of 99.01%, precision of 99.00%, recall of 100%, AUC of 0.944, and an f-measure of 99.49%. With the integration of SMOTE, there is a notable enhancement across all metrics, with accuracy, precision, recall, AUC, and f-measure, all achieving perfect scores of 100%. In addition, an analysis of the top 10 frequently used words in guest reviews, such as "solo," "good," "place," "staff," "comfortable," "room," "clean," "hotel," "capsule," and "Malioboro," provides additional insights. Examining guest profiles within the dataset uncovers a strong inclination among Indonesian individuals to opt for The Capsule Malioboro's services, with solo travelers being the predominant guest type and most stays lasting only a single day. The capsule accommodations cater to various gender preferences, and an examination of overnight data indicates a rising trend, particularly in December 2022 and 2023. These insights enable the hotel to discern guest preferences, offering valuable information for enhancing service ratings and addressing specific needs.
Toxicity, Sentiment, and Social Network Analysis (SNA) of Borneo Death Blow Video Documentary Reviews Singgalen, Yerik Afrianto
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 2 (2024): April 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i2.7633

Abstract

The study aimed to evaluate sentiment classification models using toxicity scores and to conduct Social Network Analysis (SNA) to understand network dynamics. The research used CRISP-DM methodology to comprehensively analyze sentiment classification models and toxicity scores. It utilized various machine learning algorithms, including Decision Tree (DT), Support Vector Machine (SVM), and Naive Bayes Classifier (NBC), with Synthetic Minority Over-sampling Technique (SMOTE) to address class imbalance. In addition, Social Network Analysis (SNA) was conducted to examine network properties and dynamics. The findings revealed varying toxicity scores, ranging from 0.12409 to 0.98808, across different categories, such as general toxicity, severe toxicity, identity attacks, insults, profanity, and threats. Evaluation of sentiment classification models indicated that the SVM model with SMOTE achieved the highest accuracy of 92.57% +/- 1.17% (micro average: 92.57%), followed by the NBC model with an accuracy of 78.24% +/- 1.30% (micro average: 78.24%), and the DT model with an accuracy of 61.16% +/- 1.20% (micro average: 61.16%). Despite variations in model performance, the SVM model consistently demonstrated robust performance across various evaluation metrics. Furthermore, the SNA findings provided insights into network structural characteristics, including Average Degree, Average Weighted Degree, Diameter, Radius, and Average Path Length, facilitating a comprehensive understanding of network organization and behavior. These findings contribute to advancing the understanding of sentiment analysis models and network dynamics in digital environments.
Enhancing Sentiment Analysis of Garden by the Bay Reviews on TripAdvisor Platform Using CRISP-DM through DT and SVM with SMOTE Singgalen, Yerik Afrianto
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 2 (2024): April 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i2.7485

Abstract

This research aims to improve sentiment analysis of reviews related to Garden by the Bay, a prominent tourist destination in Singapore, by leveraging the CRISP-DM methodology and Synthetic Minority Over-sampling Technique (SMOTE). The study employs a comprehensive approach, integrating CRISP-DM phases to systematically collect, clean, and analyze data from online reviews. The dataset comprises a substantial number of reviews, reflecting diverse visitor experiences. Using SMOTE, class imbalance issues within the dataset are addressed, leading to enhanced performance of sentiment analysis algorithms. The evaluation of Decision Tree (DT) and Support Vector Machine (SVM) algorithms, both with and without SMOTE, reveals significant improvements in accuracy, precision, recall, and F-measure metrics when SMOTE is applied. These findings underscore the efficacy of SMOTE in optimizing sentiment analysis algorithms for the Garden by the Bay dataset, thereby facilitating a deeper understanding of visitor sentiments and experiences, which inform strategies for enhancing the tourism experience at Garden by the Bay.
Implementation of CRISP-DM for Social Network Analysis (SNA) of Tourism and Travel Vlog Content Reviews Singgalen, Yerik Afrianto
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 1 (2024): Januari 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i1.7323

Abstract

Technological developments have facilitated the process of creating and publishing digital content on various platforms while influencing application user behavior in terms of consumption. In the context of tourism and travel vlog content, the publication of travel content influences perceptions and triggers the intention of visiting the destination in which the video is taken. In addition, content reviews can be seen in the comment column, which shows the response from content creators to tourists related to the topics discussed in the video content. This study aims to analyze content reviewers' social network patterns and sentiments using the Cross-Industry Standard Process for Data Mining (CRISP-DM) approach. Meanwhile, the model used in this study is Social Network Analysis (SNA) and Sentiment Classification based on analyzing network patterns of "whom, mention whom," and "who replies who," based on diameter, density, reciprocity, centralization, and modularity. The stages in the CRISP-DM method consist of business understanding, data understanding, modeling, evaluation, and deployment. The results of this study show that at the business understanding stage, tourism and travel vlog content reviews with Waseda Boys Indonesia Trip video comment datasets and Waseda Boys Trip to Manado and Likupang video and Waseda Boys Trip to Labuan Bajo video. Scraping content review data from the YouTube platform is carried out at the data understanding stage based on author, description, Global Unique Identification (GUID), like_count, link, pub_date, and author channel URL. In the modeling stage, the interaction pattern between authors in the form of networks is visualized and analyzed based on clusters. At the evaluation stage, an evaluation is carried out based on sentiment related to content related to tourism activities. At the deployment stage, recommendations for digital tourism marketing strategies based on tourism and travel vlogs can be known. Thus, tourism and travel vlog content play an important role in triggering tourism intentions so that it is effectively used in destination marketing strategies in the digital era.
One-Star Hotel Selection for Staycation using Simple Additive Weighting and Rank Order Centroid Singgalen, Yerik Afrianto
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 1 (2024): Januari 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i1.7380

Abstract

The development of the hospitality industry provides many choices to staycation enthusiasts in choosing the right accommodation service. Accommodation service providers also increase competitiveness through excellent service to the addition of facilities to adjust guest preferences and increase sales. The primary objective of this study is to analyze the decision-making behavior associated with choosing one-star hotels for a staycation. The research investigates the decision-making patterns in the context of one-star hotel stays for recreational purposes. The study utilizes the SAW method to evaluate the criteria of facilities, services, rating, cleanliness, value for money, and location, employing Rank Order Centroid (ROC) weighting. In light of the computations using Rank Order Centroid, it is discerned that the weights assigned to the criteria are as follows: W1 with a weight of 0.4083, w2 with a weight of 0.2416, w3 with a weight of 0.1583, w4 with a weight of 0.1027, w5 with a weight of 0.0611, and w6 with a weight of 0.0277. The research findings reveal the aggregation of weighted scores and ranking of alternatives, delineating that A4 attains the first rank with a value of 0.97395, followed by A3, securing the second rank with a value of 0.96511, and A1 acquires the third rank with a value of 0.95191. Thus, the significance of the identified alternative is that it sheds light on its superior performance according to the specified criteria. In conclusion, this research contributes valuable insights into the decision-making dynamics of staycation enthusiasts, pinpointing alternative A4 as the most favorable choice within one-star hotel accommodations.
Analysis and Design of Marine Tourism Information System Using Rapid Application Development Puspitarini, Titis; Christanto, Henoch Juli; Singgalen, Yerik Afrianto
Journal of Information System and Informatics Vol 6 No 1 (2024): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i1.645

Abstract

The research addresses the growing need for efficient management of marine tourism activities in Indonesia, explicitly diving, snorkeling, and fishing. With the rapid expansion of marine tourism, there is a pressing need for innovative solutions to streamline information dissemination and enhance tourist experiences. This study proposes the development of a database and information system utilizing the Rapid Application Development (RAD) methodology to cater to the diverse needs of tourists engaging in marine activities. The Rapid Application Development approach comprises requirement planning, user design, construction, and cutover phases. Oracle Apex serves as the primary instrument for database design and system development. The findings suggest that implementing digital innovation in the form of information systems and databases significantly enhances the tourist experience in marine tourism destinations. Integrating GIS technology enables the visualization of location maps and valuable information, enriching the user experience and facilitating informed decision-making processes. Test results indicate that the application functions optimally and can be utilized effectively for destination management in Indonesia, emphasizing the practical implications of digital innovation in the tourism sector. In conclusion, designing and implementing a database and information system for marine tourism activities offer substantial benefits for destination management and tourist experiences in Indonesia. This research underscores the importance of technological advancements in optimizing destination management and fostering sustainable tourism development in coastal regions.
Analysis and Design of Natural Spring Water Preservation and Monitoring System Using Rapid Application Development Singgalen, Yerik Afrianto
Journal of Information System and Informatics Vol 6 No 1 (2024): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i1.646

Abstract

Climate change in Indonesia has resulted in droughts in several regions, affecting both ecological conditions and the livelihoods of local communities in accessing clean water sources. Therefore, natural spring water preservation and monitoring are needed to identify and analyze the factors contributing to ecological changes. This research utilizes the Rapid Application Development method through the Oracle Apex instrument in designing the database and information system for natural spring water preservation and monitoring. The stages of designing this application are requirements planning, user design, construction, and cutover. Each stage has its challenges, namely the relevance of data to user needs in identifying and analyzing the sustainability of natural spring waters. The findings of this study demonstrate that information on natural spring water location, water quality, local community activities, and observer data play a crucial role in the decision-making process. Through this application, natural spring waters can be identified and protected through appropriate policies, thus contributing to Indonesia's sustainable water resource management and environmental conservation efforts. Additionally, the analysis and design results reveal insights into the structural framework and functionalities of the developed system, highlighting its potential to effectively address the complexities of natural spring water preservation and monitoring.
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