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All Journal JURNAL PENGABDIAN KEPADA MASYARAKAT Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Komtika (Komputasi dan Informatika) Journal of Community Services and Engagement JURIKOM (Jurnal Riset Komputer) M A T H L I N E : Jurnal Matematika dan Pendidikan Matematika Abdi Wiralodra : Jurnal Pengabdian Kepada Masyarakat Ainet : Jurnal Informatika Jurnal Teknologi Dan Sistem Informasi Bisnis JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) Madaniya Community Empowerment Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Universitas Muhammadiyah Yogyakarta Undergraduate Conference Proceeding Jurnal Atma Inovasia Urecol Journal. Part E: Engineering Urecol Journal. Part D: Applied Sciences Prosiding University Research Colloquium Borobudur Informatics Review Computing and Information System Journal Jurnal Komtika (Komputasi dan Informatika)
Ardhin Primadewi
Universitas Muhammadiyah Magelang, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Implementasi Metode Technique for Order of Preference by Similarity to Ideal Solution Untuk Prioritasasi Objek Wisata Andi Wibowo; Ardhin Primadewi; Emilya Ully Artha
Journal of Information System Research (JOSH) Vol 6 No 4 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i4.6312

Abstract

Tourist attractions are anything that draws people's attention to visit a particular destination. Magelang Regency, Central Java, has significant natural tourism potential, especially in mountainous areas like Mount Sumbing, which attracts both domestic and international tourists. However, many tourists face difficulties in choosing a destination that aligns with their preferences. This research aims to develop and implement the TOPSIS method to assist tourists in selecting the best attractions in the Mount Sumbing area based on various criteria such as distance, facilities, cost, comfort, and scenery. The TOPSIS method (Technique for Order of Preference by Similarity to Ideal Solution) was chosen for its ability to evaluate alternatives by comparing positive and negative ideal solutions, providing objective and accurate ranking results. By applying the TOPSIS method to the evaluation of tourism alternatives, preference values are calculated to determine the best option. The results show that alternative 3 Nepal Van Java has the highest preference value, which is 0.7920. The findings provide relevant rankings of tourist attractions, offering valuable guidance for tourists and tourism managers in optimizing the tourism experience in the area.
Analisis Kepuasan Masyarakat terhadap Pelayanan Publik menggunakan K-Means Clustering Yenik Hariyanto; Ardhin Primadewi; Mukhtar Hanafi
Journal of Information System Research (JOSH) Vol 6 No 2 (2025): January 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i2.6577

Abstract

This study aims to analyze data clustering using the K-Means Clustering method in order to understand certain patterns contained in public satisfaction data on public services. The problem of this study focuses on how to optimally group data to evaluate the quality of service indicators based on 9 indicators in the Public Satisfaction Survey (SKM). The purpose of this study is to divide data into several clusters so that it can provide a clear picture of the differences in quality between service groups. The method used in this study is the K-Means Clustering method, which consists of several stages, namely determining the number of clusters, determining the initial center point, calculating the distance of data to the center point, grouping data, updating the center point, and providing cluster labels. Evaluation of the quality of clustering results is carried out using two evaluation metrics, namely the Silhouette Score and the Davies-Bouldin Index. The results showed that the data was divided into two clusters with a Silhouette Score value of 0.515 which indicated a fairly good clustering quality. In addition, the Davies-Bouldin Index value of 0.784 indicates that the clusters formed have a fairly good distance between each other. The results of this analysis provide an overview that the first cluster has a higher quality of service compared to the second cluster based on the average value of the service indicators measured. This study is useful in providing more structured and accurate information regarding service quality, so that it can be a basis for policy makers to improve service performance in the future. In addition, this study can also be a reference for further research in the application of the K-Means method for similar cases with a focus on evaluation and development of public services.
Co-Authors Aditia, Dwi Rino Adiwidya Pratama, Naufal Afan Hafara Sani Afan Hafara Sani Aini, Meilinda Citra Nur Ainul Yaqin, Slamet Al Manan, Oesman Raliby Al Manan, Oesman Raliby Amalia, Sofri Rizka Andi Wibowo Andi Widiyanto Andre Saputro Annisa Hakim Purwantini Anwar, Tulkhah Mubasyir Bagus Ferdiansyah, Shandy Damas A Karim Dedy Hermawan Syahrir Dianita Yuswanti Dimas Sasongko Dimas Sasongko Dimas Sasongko Duanna Purnamasari Dwi Aryanto, Agus Dwihantoro, Prihatin Emilya Ully Artha Endah Ratna Arumi Endah Ratna Arumi, Endah Ratna F Fadloil Fadhilah, Alfira Nisa Fadloil, F Fakhrur Rozi, Fakhrur Faruq Ardana Kurniawan Febiawan, Muhamad Hendra Fitrianingsih, Ari Haidar, Muhammad Hilmy Haka, Qosim Nurdin Hanaki Restu Putri Hasani, Rofi Abul Ika Arthalia Imam Saputra Ismunandar, Denni Maimunah Maimunah Meidar Hadi Avizenna Meilinda Citra Nur Aini Miftakhul Fauzi Miko Firmansyah, Aditya Muhammad Abdul Karim, Muhammad Abdul Muhammad Ikhsan Muhammad Ikhsan Muhammad Nuzril Isro Muhammad Resa Arif Yudianto Mukhtar Hanafi Nugraha, Januar Adi Nugraha, Januar Adi Nugroho , Setiya Nugroho Agung Prabowo NUR ARIFAH Nuryani, Ira Nuryanto Nuryati, Istin Oesman Raliby Al Manan Pradana, Orisa Deva Purnomo, Tuessi Ari Purnomo, Tuessi Ari Putri, Hanaki Restu Qosim Nurdin Haka R Arri Widyanto Rahmawati, Catur Resa Arif Yudiyanto Rindiyani Rindiyani Rofi Abul Hasani Romi Yunma Akbar Safin, Fatih Ali Safira Ayu Muthi'ah Sani, Faozan Asrul Saniyah, Saniyah Sebastian, Devara Avila Septiawan Rofendi Setiawan, Agus Setiawan, Akhmad Fajar Setiya Nugroho Setiya Nugroho Setiya Nugroho Sidik Priyo Utomo Sukatin, Sukatin Sukmasetya, Pristi Sunarni Sunarni Suryantoro, Wahyu Aji Suwarni Wahyudiningsih , Tri Syahidan C Rohmana Syahrir, Dedy Hermawan tri wahyuni Tuessi Ari Purnomo Tulkhah Mubasyir Anwar Uky Yudatama Uky Yudatama Uky Yudatama, Uky Utomo, Sidik Priyo Widyanto, R.Arry Yenik Hariyanto Yustin Yustin Yustin Yustin