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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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User interface and user experience design for the TB.berkat rezeki website Stephen Aprius Sutresno; Henoch Juli Christanto; Yerik Afrianto Singgalen; Elfin Saputra; Biafra Daffa Farabi; Bernardus Alvin Rig; Radyan Rahmananta; Octa Hutapea
Jurnal Mantik Vol. 7 No. 4 (2024): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i4.4526

Abstract

In the era of continuous technological advancement, the presence of a website becomes crucial, especially for businesses aiming to harness digital potential. This research aims to address the issue of the lack of digital presence and e-commerce sites for TB. Berkat Rezeki, a building equipment store in Bekasi, West Java. By adopting the Design Thinking method, this study focuses on the development of a website with a UI/UX layout that supports an intuitive and satisfying online shopping experience. Survey results indicate that 64% of the Indonesian population are internet users, signaling a vast digital market potential. Applying the principles of Design Thinking, particularly in the Empathize, Define, Ideate, Prototype, and Testing stages, this e-commerce system is designed to create a clear layout, attractive design, and a responsive user experience. Evaluation using the System Usability Scale (SUS) shows an average score of 72, categorized as "good," indicating the readiness of the website for further use. In conclusion, effective and user-oriented UI/UX design involves thorough planning, iterative testing, and readiness for continuous improvement to align with user developments, design trends, and current technology.
Analysis and design of Hutanku application using Rapid application development Yerik Afrianto Singgalen
Jurnal Mantik Vol. 7 No. 4 (2024): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i4.4770

Abstract

This research aims to design the Hutanku application for bird location, tree, employee, and visitor databases using Rapid Application Development (RAD). The findings of this study indicate that the databases can be effectively utilized and prove beneficial in monitoring conservation areas. The primary objective of the research is to leverage RAD methodologies to design an application that facilitates efficient data collection, storage, and retrieval for bird locations, tree information, employee records, and visitor data within conservation zones. RAD's iterative and collaborative nature allows for swift adaptation to evolving user requirements, ensuring that the application is well-aligned with the specific needs of conservation monitoring. The successful implementation of the designed application highlights the practical utility of databases in enhancing the monitoring and management of conservation areas. In conclusion, the research underscores the significance of employing RAD for designing the Hutanku application, emphasizing its role in creating a robust database system essential for effective conservation practices
Destination marketing system design using Rapid Application Development Yerik Afrianto Singgalen
Jurnal Mantik Vol. 7 No. 4 (2024): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i4.4784

Abstract

This research aims to design a destination marketing system capable of accommodating information of product, price, place, and promotion. The method employed is Rapid Application Development (RAD), comprising the phases of requirement planning, user design, construction, and cutover. The outcomes of the study underscore that details regarding product offerings, pricing structures, geographical considerations, and promotional strategies are instrumental for decision-making in optimizing tourist visitation. With its iterative and collaborative nature, the utilization of RAD proves effective in systematically developing a system that aligns with the multifaceted dynamics of destination marketing. The phased approach, from requirement planning to cutover, ensures the systematic incorporation of crucial elements within the system. In conclusion, the research findings emphasize the significance of a well-designed destination marketing system in consolidating and utilizing product, price, place, and promotion information for informed decision-making in the tourism sector
Evaluation of the Implementation of Tourism Policy Yerik Afrianto Singgalen; Pamerdi Giri Wiloso; Gatot Sasongko
JKAP (Jurnal Kebijakan dan Administrasi Publik) Vol 21, No 1 (2017): May
Publisher : Magister Ilmu Administrasi Publik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jkap.16751

Abstract

This purpose of the study is to  evaluate the  implementation of tourism programs in Bobale Island, Kakara Island, Tagalaya Island and Meti Island in North Halmahera District. The study is based on a model developed by George Edward III, and used qualitative methods to collect and analyze data.  Data collection techniques used included in-depth interviews, observation and study of the documents. Results of the study showed that resources, communication, disposition and bureaucratic structure are the main factors that influence the implementation of tourism policies are. Nonetheless, this study also showed that public support through public participation in the implementation process is also an important factor that determines the success of tourism policy. To that end,   community support or community participation should be an important factor that must be taken into account in the formulation of development priorities of Tourism development Master plan for North Halmahera District government.
Analisis Perilaku Wisatawan Berdasarkan Data Ulasan di Website Tripadvisor Menggunakan CRISP-DM: Wisata Minat Khusus Pendakian Gunung Rinjani dan Gunung Bromo Yerik Afrianto Singgalen
Journal of Computer System and Informatics (JoSYC) Vol 4 No 2 (2023): Februari 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i2.3042

Abstract

Traveller behavior needs to be comprehensively identified and analyzed to determine changes in tourism preference in Indonesia. One relevant approach to identifying traveler behavior is sentiment analysis through review data on the Tripadvisor website by text mining approach. This study aims to recommend a sentiment analysis model that is useful for managers of particular interest climbing tourist destinations on Mount Rinjani and Mount Bromo based on the type of visit alone (solo), with couples (couple), with friends, and with family (family). The research method used is Cross Industry Standard Process for Data Mining (CRISP-DM), with an algorithm adapted to managing tourist destinations for Mount Rinjani and Mount Bromo, namely attractions, roads and modes of transportation (accessibility), and accommodation. To overcome the problem of data balance in datasets, the calculation process of the Decision Tree (DT) algorithm and the Support Vector Machine (SVM) is connected to the Synthetic Minority Over-sampling Technique (SMOTE) operator in the Rapidminer application. The results of this study showed that the SVM algorithm showed better performance with an accuracy value of 97.67%, precision of 100%, recall of 95.34, and f-measure of 97.61% in the classification of 1075 text data of Mount Bromo and 326 review data of Mount Rinjani. In addition, in the context of Mount Rinjani, the top five words that often appear in tourist review data on Mount Rinjani are as follows: summit (272), Rinjani (259), trek (201), hike (170), mountain (159). On the other hand, the top five words that often appear in tourist review data on Mount Bromo are as follows: Bromo (1864), sunrise (1124), view (854), crater (758), and mount (577). Thus, it can be seen that tourists with the type of visit alone (solo), with couples (couple), with friends (friends), and with family (family) have a preference for the types of attractions in the form of summits, craters, natural beauty of mountains, hiking trails, types of transportation modes as well as supporting accommodation that needs to be prepared to keep the sustainability of tourism.
Analisis Sentimen Wisatawan terhadap Taman Nasional Bunaken dan Top 10 Hotel Rekomendasi Tripadvisor Menggunakan Algoritma SVM dan DT berbasis CRISP-DM Yerik Afrianto Singgalen
Journal of Computer System and Informatics (JoSYC) Vol 4 No 2 (2023): Februari 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i2.3092

Abstract

It is necessary to analyze traveler sentiment towards Bunaken National Park and Tripadvisor's Top 10 Recommended Hotels to identify traveler satisfaction with the attractions, accommodation services, and transportation used. Considering this, this study uses the Cross-Industry Standard Process for Data Mining (CRISP-DM) framework by testing the performance of the Decision Tree (DT) algorithm and the Support Vector Machine (SVM). CRISP-DM has six stages: business understanding, data understanding, data preparation, modeling, evaluation, and deployment. Based on the processing of 398 Bunaken National Park destination data and 1793 review data on the top 10 hotels recommended by Tripadvisor, the SVM algorithm performed better. In the context of Bunaken National Park destination data, the performance of the SVM algorithm using the SMOTE operator can produce 100% accuracy, precision, recall, f-measure, AUC, and t-Test values. In addition, in processing the top 10 hotel datasets recommended by Tripadvisor, the SVM algorithm using the SMOTE operator provides an accuracy value of 96.42%, a precision value of 100%, a recall value of 92.83%, an f-measure value of 96.27%, an AUC value of 100%, and a t-Test value of 96.4%. The results of identifying the five words that most often appear in tourist reviews for Bunaken Marine Park tourist destinations are 164 words fish, 165 words island, 193-word dive, 230 diving, and 280 words Bunaken. This indicates the driving factor for tourist visits to Bunaken Marine Park is the beauty of underwater nature, including the diversity of marine animal species, the natural beauty of the archipelago, and diving activities. In addition, the results of identifying the five words that most often appear in traveler reviews for Tripadvisor's top 10 recommended hotels are 1170 great words, 1222 bunaken words, 1550 resort words, 1613 diving words, and 1711 dive words. This indicates that the characteristics of tourists who have the motive of traveling to Bunaken National Tourism Park have the intention to use resort accommodations around Bunaken and have mobility and facilities to support diving activities. Thus, the output of this study can be used as a recommendation for accommodation service managers to prepare supporting facilities for tourists who want to visit Bunaken National Park.
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.
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