Article Per Year (5 Year)
p-Index From 2021 - 2026
24.207
P-Index
This Author published in this journals
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
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

Published : 234 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 234 Documents
Search

 7   8   9   10   11 
Sistem Pendukung Keputusan Pengembangan Ekowisata Mangrove Potensial Menggunakan Simple Additive Weighting (SAW) Yerik Afrianto Singgalen
Journal of Computer System and Informatics (JoSYC) Vol 4 No 3 (2023): May 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i3.3432

Abstract

Adjusting resource availability and traveler preferences will allow for an objective assessment of prospective mangrove ecotourism growth. In order to build mangrove ecotourism destinations effectively, it is vital to identify their priority locations. It is required to create the development program as a criterion and the development zone as a prioritized alternative in light of this. This study used the Simple Additive Weighting (SAW) technique, which includes the following stages: deciding on criteria and alternatives; weighing the relative importance of each criterion; creating a matrix of findings; and ranking the alternatives based on the biggest value. The study's findings indicate that five criteria can be categorized based on benefit and cost with varying relative values: attraction (benefit), ancillary (benefit), accommodation (cost), accessibility (cost), and amenities (cost). Attraction has a relative value of 0.3, ancillary has a relative value of 0.2, and amenities (cost) has a relative value of 0.15. The ranking results showed that the amenity criteria came first, followed by accessibility, then attractions, lodging, and ancillary. Attractions were ranked third, while accommodations came in fourth. This demonstrates the necessity for amenities that pique tourist interest and accessibility through accessible modes of transportation, informational resources, and roads to tourist destinations to support the growth of mangrove ecotourism special interest tourism. The management of mangrove ecotourism destinations can be improved by offering lodging options. Following amenities, accessibility, attractions, and lodging, organizations or groups can be established, and infrastructure in tourist sites can be enhanced. As a result, the SAW approach can be used as a system to help decide which initiatives to prioritize
Analisis Perbandingan Nilai SAW dan TOPSIS dalam Menentukan Keputusan Perjalanan Wisata ke Destinasi Wisata Tematik Yerik Afrianto Singgalen
Journal of Computer System and Informatics (JoSYC) Vol 4 No 3 (2023): May 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i3.3504

Abstract

This study aims to process information related to ticket costs, facilities, safety, cleanliness, road access, and mileage using the Simple Additive Weighting (SAW) method and Technique for Other Preferences by Similarity to Ideal Solution (TOPSIS) in the selection of natural tourism destinations, cultural tourism, beach, and marine tourism based on the context of North Halmahera Regency. The weights on each criterion that have been determined in the SAW method are as follows: ticket fee (0.30); facilities (0.30); security (0.30); cleanliness (0.30); access roads (0.30); mileage (0.30). Meanwhile, the weights on each criterion that have been determined according to the degree of importance in the TOPSIS method are as follows: ticket fees (5); facilities (4); security (3); cleanliness (3); access roads (3); mileage (3). Based on the results of the implementation of the SAW method in the selection of thematic tourist destinations, it can be seen that: based on the context of natural and adventure tourism destinations, Telaga Paca (A2) tourist destinations occupy the first position with a value of 0.903333; based on the context of historical and cultural tourist destinations, Hibualamo tourist destinations (B6) observed the first position with a value of 0.975; based on the context of beach and recreation tourism destinations, Pitu Beach tourist destinations (C1) occupy the first position with a value of 0.804167; based on the context of marine tourism destinations in the archipelago, Kumo Island tourist destinations (D2) occupy the first position with a value of 0.946429. Meanwhile, the results of the implementation of the TOPSIS method show that: based on the context of natural and adventure tourism destinations, Telaga Paca (A2) tourist destinations occupy the first position with a value of 0.74523053; based on the context of historical and cultural tourist destinations, Duma Village tourist destinations (B1) observe the first position with a value of 0.86431018; Based on the context of beach and leisure tourism destinations, tourist destinations Tanjung Pilawang (C7) occupies the first position with a value of 0.85054074; based on the context of marine tourism destinations in the archipelago, Magaliho Island tourist destinations (D7) occupy the first position with a value of 0.74142938
Analisis Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) Terhadap Data Top 10 Best Value Hotel Yerik Afrianto Singgalen
Journal of Computer System and Informatics (JoSYC) Vol 4 No 4 (2023): August 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i4.4053

Abstract

Labuan bajo sebagai destinasi wisata super prioritas memiliki daya tarik wisata alam, budaya, pantai dan bahari. Wisatawan mancanegara dan nusantara yang berkunjung ke destinasi wisata premium Labuan Bajo, dapat menggunakan layanan akomodasi dan amenitas hotel, hingga bisnis layanan akomodasi lainnya. Penelitian ini bertujuan untuk menerapkan metode Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) terhadap 10 best value hotel di Labuan Bajo, berdasarkan website Tripadvisor. Hasil penelitian ini menunjukkan bahwa wisatawan dapat memilih mengambil keputusan menginap di top 10 best value hotel Labuan Bajo dengan mempertimbangkan ketersediaan ruangan dan amenitas hotel, maupun penilaian tamu yang memiliki pengalaman menginap di hotel tersebut. Berdasarkan hasil penerapan metode MOORA, hasil pengolahan data berdasarkan ketersediaan ruangan dan amenitas hotel menunjukakn bahwa Meruorah Komodo Labuan Bajo memiliki total nilai paling tinggi dengan jumlah 0,57 sehingga menempati urutan pertama, sedangkan Zasgo Hotel memiliki total nilai 0,49 sehingga menempati urutan kedua. Adapun, Ayana Komodor Resort, Waecicu Beach memiliki total nilai 0,38 sehingga menempati urutan ketiga. Adapun, berdasarkan penilaian tamu yang memiliki pengalaman menginap di top 10 best value hotel Labuan Bajo, dapat diketahui bahwa Zasgo Hotel memperoleh nilai sebesar 0,248 dan menempati urutan pertama. Selanjutnya, Parlezo Hotel memperoleh nilai sebesar 0,237 dan menempati urutan kedua. Meskipun demikian, Zasgo Hotel dan Parlezo Hotel tidak dapat direkomendasikan karena tidak memilik nilai pada kriteria value. Oleh sebab itu, Hotel yang direkomendasikan ialah Ayana Komodo Resort, Waecicu Beach dengan total nilai sebesar 0,157 serta Sudamala Resort, Seraya dengan total nilai 0,153. Dengan demikian, penerapan metode MOORA dapat menghasilkan rekomendasi yang sesuai dengan preferensi tamu hotel.
Analisis Perbandingan Top 10 Best-Value dan Top 10 Traveler-Ranked Hotel di Kota Ternate Menggunakan MOORA Yerik Afrianto Singgalen
Journal of Computer System and Informatics (JoSYC) Vol 4 No 4 (2023): August 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i4.4070

Abstract

There are a variety of factors that influence hotel visitors' decisions. The first consideration pertains to the room and amenities, while the second comprises prior guest ratings. Tripadvisor is frequently used to propose lodging and amenity services in different places. Using the MOORA decision support model, this study compares the top 10 best-value hotels in Ternate City to the top 10 most-recommended hotels by travelers. This research consists of four phases: the data gathering phase, the data analysis phase, the data interpretation phase, and the reporting phase. The data processing results utilizing the MOORA decision support model on the top 10 best-value hotels in Ternate City revealed a considerable disparity with the Tripadvisor rankings based on room and amenity criteria and guest reviews. Muara Hotel Ternate has a total scale of 0.491% based on parameters related to its rooms and amenities. Additionally, the order is dynamic and dependent on guest rating criteria. The Bela International Hotel ranks #1 if review data is considered because its reviews exceed 100. The same conclusion was drawn from the data processing findings of the top 10 traveler-ranked hotels in Ternate City, where the ranking results based on room and amenities criteria refer to the Ternate City Hotel with a total yi value of 0.79. The ranking results are also dynamic and dependent on guest rating criteria. If the number of reviews is considered, the Bela International Hotel will be ranked #1 because its number of studies is more significant than 100. This implies that information about rooms and hotel amenities and the number of guest evaluations on the Tripadvisor website can be crucial in influencing hotel guests' decisions regarding their stay.
Penerapan Metode Evaluation based on Distance from Average Solution (EDAS) dalam Optimalisasi Layanan dan Pemasaran Coffeeshop Yerik Afrianto Singgalen
Journal of Computer System and Informatics (JoSYC) Vol 5 No 1 (2023): November 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i1.4460

Abstract

Business owners of coffee shops that fall under the Micro, Small, and Medium Enterprises (MSMEs) employ marketing methods to attract more clients to satisfy the demands and preferences of coffee enthusiasts. However, consumer purchasing behavior demonstrates the difficulty in evaluating marketing performance. In light of this, this study employs the Distance from Average Solution Evaluation Method (EDAS). Meanwhile, coffee shop business brands observed and used as alternatives in this study are Coffee Tanem, 1915 Koffie-Huis, Friends of Coffee Salatiga, Dusk Koffie Salatiga, and Street Side Coffee Salatiga. The results of this study show that the EDAS method can be used to optimize coffee shop business services and marketing as a strategic step in strengthening and improving the performance of the coffee shop business or business. In the context of testing the EDAS decision model, each alternative is assigned a random code (A1-A5). Coffee varieties (C1), aroma and roasted level (C2), serving technique variants (C3), beverage prices (C4), and coffeeshop locations (C5) are often employed as criteria, with categories C1–C3 representing advantages, and C4–C5 representing expenses. Based on the EDAS method's calculation results, it can be seen that the top-ranking coffee shops are those that offer a variety of coffee bean varieties (robusta and arabica), various aromas, and roasted levels (light, medium, dark), various serving methods using espresso machines and manual brew, affordable drink prices, and strategically located coffee shops with enough parking. Thus, it is advised that coffee shop business experts assist in improving capital capabilities and business performance and optimize marketing mix components in STP (Segmenting, Targeting, Positioning) marketing strategies to increase trust, sales volume, consumer satisfaction, and loyalty.
Penerapan Metode Additive Ratio Assessment (ARAS) dan Ranking of Centroid (ROC) dalam Pemilihan Layanan Akomodasi dan Local Cuisine Yerik Afrianto Singgalen
Journal of Computer System and Informatics (JoSYC) Vol 5 No 1 (2023): November 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i1.4569

Abstract

Salatiga is a gastronomic city with various types of traditional food and drinks and is a recreational tourism city with exciting and crowded mountain natural scenery. The availability of accommodation services and local cuisine adds to visitors' preferences to enjoy local culinary dishes. This study offers an initiative to use the Additive Ratio Assessment (ARAS) method in selecting the best accommodation and restaurant services in Salatiga based on Tripadvisor data. The stages in the calculation process based on the ARAS method are as follows: the stage of determining the value of criteria, weights, alternatives, and optimal values; the stage of converting the value of the criterion into a decision matrix; the stage of normalization of the decision matrix for all criteria; stage of calculating the value of utility; Ranking stage. The calculation results show that in the context of accommodation services, A5 occupies the first position with a Ki value of 0.887, A4 occupies the second position with a Ki value of 0.870, and A1 occupies the third position with a Ki value of 0.849. Meanwhile, in the context of local cuisine, A2 occupies the first position with a Ki value of 0.951, A5 occupies the second position with a Ki value of 0.914, and A4 occupies the third position with a Ki value of 0.854. This shows that ARAS and ROC methods can produce the best recommendations for tourists who want to use accommodation services and enjoy local cuisine in Salatiga City.
Perbandingan Metode ARAS dan EDAS dalam Menghasilkan Rekomendasi Layanan Akomodasi Hotel Yerik Afrianto Singgalen
Journal of Computer System and Informatics (JoSYC) Vol 5 No 1 (2023): November 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i1.4574

Abstract

This study compares the decision support model Additive Ratio Assessment (ARAS) and Evaluation based on Distance from Average Solution (EDAS) in selecting hotels in Semarang City. Meanwhile, the criterion-setting method adopts the Ranking of Centroid (ROC) to set criteria, determine the priority of criteria, and determine the weight of the criteria values. Comparison of the two algorithms needs to be done to compare the results and test the performance of the two algorithms, when developed into a decision support application to generate hotel service recommendations. Meanwhile, the stages in this research are as follows: data collection stage, using TripAdvisor; data processing stage, using ARAS and EDAS models; and data analysis stage. The results of this study show that the ranking results based on the EDAS method show that A1 occupies the first position with an NSP value of 1,000 and an NSN of 0,983. Furthermore, A3 occupies the second position with an NSP value of 0.707 and an NSN of 0.983. Meanwhile, A2 occupies the third position with an NSP value of 0.311 and an NSN of 0.983. Furthermore, the ARAS method ranking results show that A1 occupies the first position with a Si value of 0.171 and a Ki value of 0.994. Furthermore, A3 occupies the second position with a Si value of 0.169 and a Ki value of 0.984. Meanwhile, A2 occupies the third position with a Si value of 0.167 and a Ki value of 0.970. Based on the comparison of EDAS and ARAS methods, it can be seen that both produce the same alternative ranking where Padma Hotel Semarang ranks first, Aruss Hotel Semarang ranks second, and Tentrem Hotel Semarang ranks third. Thus, it can be seen that EDAS and ARAS methods can produce the best hotel recommendations for travelers by considering ratings and reviews on the TripAdvisor platform.
Toxicity and Social Network Analysis of Green Marketing Content for Electric Cars through Digital Media Yerik Afrianto Singgalen
International Journal on Social Science, Economics and Art Vol. 13 No. 4 (2024): February: Social Science, Economics
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to investigate the effectiveness of green marketing strategies in influencing consumer interest and purchasing behavior towards electric cars, focusing on media coverage, as exemplified by BBC News. Specifically, it seeks to understand how media portrayals of electric cars through green marketing narratives impact consumer perceptions and preferences in the context of sustainability. The research adopts the Cross Industry Standard Process for Data Mining (CRISP-DM) methodology. The study culminates in noteworthy findings obtained through Toxicity Analysis and Social Network Analysis (SNA). Toxicity Analysis yielded specific numerical values across categories: Toxicity (0.05645, 0.99613), Severe Toxicity (0.00002, 0.00333), Identity Attack (0.00211, 0.35185), Insult (0.03630, 0.99520), Profanity (0.01584, 0.93590), and Threat (0.00279, 0.43515). These metrics signify varying levels of negative sentiment and potentially harmful language within the examined dataset. Concurrently, SNA provided structural insights with a diameter of 6, low density (0.009484), negligible reciprocity (0.000000), modest centralization (0.038160), and high modularity (0.872000). While the network exhibits centralized influence and limited reciprocity, the high modularity suggests distinct communities or clusters. These findings underscore the importance of considering sentiment dynamics and network structure, emphasizing the need for targeted interventions to mitigate toxicity and cultivate healthier communication environments.
Social network and sentiment analysis of product reviews (case of smartwatch product content) Yerik Afrianto Singgalen
International Journal on Social Science, Economics and Art Vol. 13 No. 4 (2024): February: Social Science, Economics
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study addresses the need to understand the dynamics of sentiment and social network analysis (SNA) in the context of smartwatch product reviews. Leveraging the CRoss-Industry Standard Process for Data Mining (CRISP-DM) methodology, the research aims to analyze sentiments and social networks to glean insights into consumer behavior and interaction patterns. The CRISP-DM framework guides the research through structured phases of business understanding, data understanding, data preparation, modeling, evaluation, and deployment. Through sentiment analysis using Support Vector Machine (SVM) with Synthetic Minority Over-sampling Technique (SMOTE) and SNA, the study examines accuracy (91.41% +/- 1.66%), precision (100.00% +/- 0.00%), recall (82.80% +/- 3.36%), f-measure (90.56% +/- 2.01%), Area Under the Curve (AUC), as well as network metrics such as diameter (4), density (0.001036), reciprocity (0.000000), centralization (0.004920), and modularity (0.994200). Findings reveal a robust performance of the SVM algorithm coupled with SMOTE, showcasing high accuracy and effective discrimination between sentiments. Additionally, SNA uncovers valuable insights into network structures, communication patterns, and sentiment propagation dynamics within the online community. These findings contribute to a deeper understanding of consumer sentiments and interactions, guiding strategic marketing, product development, and reputation management decisions.
Selling vegetables through live streaming: sentiment and network analysis Yerik Afrianto Singgalen
International Journal on Social Science, Economics and Art Vol. 13 No. 4 (2024): February: Social Science, Economics
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study addresses the research problem of understanding digital interactions and dynamics in online environments, mainly focusing on sentiment analysis and Social Network Analysis (SNA). The methodology integrates sentiment analysis techniques to discern prevailing attitudes and emotions within digital content, coupled with SNA to unveil intricate network structures and user relationships. Concurrently, SNA unveils intricate network structures and relationships among users, illuminated by numerical metrics such as Diameter (2), Density (0.003982), Reciprocity (0.000000), Centralization (0.027240), and Modularity (0.978600). Additionally, the performance vector further enhances the evaluation with metrics including accuracy (97.68% +/- 2.44%), AUC (0.429 +/- 0.477), precision (97.68% +/- 2.44%), recall (100.00% +/- 0.00%), and f-measure (98.81% +/- 1.25%). The study utilizes a dataset of digital content and user interactions, applying sentiment analysis to quantify sentiments and SNA to map network connections. Findings reveal nuanced insights into audience perceptions, engagement patterns, and network dynamics within digital ecosystems. Moreover, the study employs numerical metrics to evaluate the performance of sentiment analysis and SNA methodologies. The results underscore the importance of integrating sentiment analysis and SNA in comprehensively understanding online behavior and communication dynamics, offering valuable insights for content creation, engagement optimization, and community management strategies in digital environments.
Co-Authors A.Y. Agung Nugroho Agnes Harnadi Agnes Harnadi Agung Mulyadi Purba Alfonso Harrison Aloisius Gita Nathaniel 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 Titi Susilowati Prabawa Titis Puspitarini Widodo, Eko Winayu, Birgitta Narindri Rara Yan Dirk Wabiser Yoel Kristian Zsarin Astri Puji Insani