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All Journal Sistemasi: Jurnal Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika RABIT: Jurnal Teknologi dan Sistem Informasi Univrab IKRA-ITH Informatika : Jurnal Komputer dan Informatika JURIKOM (Jurnal Riset Komputer) EDUMATIC: Jurnal Pendidikan Informatika Journal of Information Systems and Informatics Journal of Innovation and Future Technology (IFTECH) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Jurnal Sistem Komputer dan Informatika (JSON) TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Teknik Informatika (JUTIF) INSERT: Information System and Emerging Technology Journal JOINTER : Journal of Informatics Engineering Journal La Multiapp Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Indonesian Journal of Innovation Studies Ismart Edu: Jurnal Pendidikan Teknologi Informasi Jurnal Minfo Polgan (JMP) Jurnal Dinamika Informatika (JDI) Jurnal Locus Penelitian dan Pengabdian Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Sains Informatika Terapan (JSIT) Journal of Artificial Intelligence and Digital Business Jurnal Ilmiah Teknik Informatika dan Komunikasi Innovative: Journal Of Social Science Research Jurnal Penelitian Teknologi Informasi dan Sains The Indonesian Journal of Computer Science semanTIK INOVTEK Polbeng - Seri Informatika Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi FIMERKOM: Journal of Information Systems and Technology Academia Open
Kristofel Santa
Universitas Negeri Manado
Aerospace Engineering Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

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Journal : academia open

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Support Vector Machine Algorithm for Classifying Public Satisfaction Index: Algoritma Mesin Vektor Dukungan untuk Klasifikasi Indeks Kepuasan Publik Efraim Ronald Stefanus Moningkey; Della Deviani Harisondak; Kristofel Santa
Academia Open Vol. 10 No. 2 (2025): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.10.2025.12697

Abstract

General Background: Evaluating public satisfaction with government services is vital to ensuring transparency and continuous improvement in public administration. Specific Background: At the Investment and One-Stop Integrated Services Office (DPMPTSP) of Minahasa Regency, satisfaction assessment has been limited by manual data processing and a lack of integrated systems, leading to inefficiencies in monitoring and classification. Knowledge Gap: Existing approaches to measuring the Public Satisfaction Index (IKM) have not effectively utilized machine learning to automate classification and provide real-time recommendations. Aims: This study aims to implement the Support Vector Machine (SVM) algorithm to classify public satisfaction levels and support service evaluation at DPMPTSP Minahasa. Results: Using 182 testing datasets, the system successfully categorized satisfaction into four levels—very satisfied, satisfied, less satisfied, and dissatisfied—with the majority of respondents classified as satisfied. The developed web-based system also provided actionable recommendations for each satisfaction level. Novelty: This study presents an integrated and automated framework that applies SVM to the public service domain, enabling efficient, accurate, and real-time evaluation. Implications: The findings demonstrate that machine learning can enhance public service management by facilitating data-driven decision-making and promoting service quality improvements. Highlight : The SVM algorithm effectively classifies public satisfaction levels into four categories. The web-based system improves efficiency and accuracy in service evaluation. Recommendations from the system support continuous service quality improvement. Keywords : Public Satisfaction Index, Support Vector Machine, Classification, Service Quality, DPMPTSP Minahasa
Spatial Clustering Of Tourism Investment Potential In Tomohon City: Klasterisasi Spasial Potensi Investasi Pariwisata Kota Tomohon Efraim R. S. Moningkey; Nelsi Timang; Kristofel Santa
Academia Open Vol. 11 No. 1 (2026): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.11.2026.13038

Abstract

General Background: Tourism represents a strategic driver of regional economic development that requires spatially grounded analytical approaches to support investment planning. Specific Background: Tomohon City, a volcanic tourism area in North Sulawesi, contributes substantially to regional economic output but experiences uneven spatial distribution of tourism investment due to accessibility and infrastructural variation. Knowledge Gap: Tourism investment planning in Tomohon has not previously integrated spatial clustering analysis with interactive geovisualization to classify investment potential systematically. Aims: This study aims to analyze and visualize tourism investment potential in Tomohon City using K-Means spatial clustering integrated into a WebGIS platform. Results: Based on 500 tourism sites and indicators including accessibility, visitor volume, supporting facilities, and estimated return on investment, three clusters were identified: high potential areas covering 28% of the region with ROI of 25–35%, medium potential areas covering 52% with ROI of 15–25%, and low potential areas covering 20% with ROI of 5–15%. Novelty: This research introduces an integrated spatial model combining K-Means clustering and WebGIS visualization for tourism investment assessment in a volcanic urban setting. Implications: The results provide a replicable spatial decision-support framework for tourism investment planning aligned with sustainable development objectives. Highlights • Tourism sites are spatially grouped into three investment potential categories• Central urban areas dominate high-return tourism zones• Web-based mapping supports structured spatial decision-making Keywords Spatial Analysis; Tourism Investment; WebGIS; K-Means Clustering; Tomohon City
Co-Authors Agnia Paputungan Agniya Algifahri Aldo Napu Alfiansyah Hasibuan Alfiansyah Hasibuan Amran Panjaitan Andi R. Widyastuti Archangela G. Repi Arif Tegar Elgifari Arbie Arsila Duaulu Athik Gelamona Atuna, Annisa Salsabilah Audy Aldrin Kenap Basilius Mario Vikranta Rahanubun Ben Shalom Manopo Chelsea Aprilia Tendean Chris Terok Christenia Tagah Cristy E. P. Bojoh Daeng, Mushendra Dani Orlando Daniel Riano Kaparang Della Deviani Harisondak Detuage, Rivni Djami Olii Efraim R. S. Moningkey Enjelita Radjakore Ezra Matthew Warouw Runturamby Fanuel Juventino Palandeng Ferdinan I. Sangkop Ferjenia Feybelia Filisia R. Terok Francesco Jeremy Topol Geralda Lucia Rumondor Gitarosalina Sibarani Gladly Caren Rorimpandey Glenn D. P. Maramis Gratia Whaitney Injili Dotulong Hanni Tompunu Harisondak, Della Deviani Imanuel Hiskia Wagey Inda, Inda Indi Rahayu Ningsi Inggried Rillya Sondakh Irene Realyta Halldy Trosi Tangkawarow Irwan Irwan Jessa V Komaling Jonathan Kowaas Joy C. Rampi Julio Tabea Kambey, Waraney Maurits Kevin Mclaren Pandoh Kezya Tjanahu Krina Crisila T. Mawuntu Lisa Menden Lorentza Claudia Rianti Peres Tawaa Maria Rina Rumengan Mario Trinto Risky Rettob Marthasya Chantika Putri Ranti Martina Lorensa Medi Hermanto Tinambunan Medi Hermanto Tinambunan Melati Roring Moningkey, Efraim Ronald Stefanus Muhammad Lukmansyah Sulaiman Nanda, Agus Estepen Nasib Marbun Nelsi Timang Olivia Kembuan Pagala, J. Rifaldo parabelem tinno dolf rompas Peggy Veronica Togas Pesik, Luisa Maria Preisya Yunita Toar Prillya Chrisanta Esthefania Kawuwung Qnardo Delon Pateh Quido Conferti Kainde Rafter Johanes Karouw Rahellea Joiby Onibala Ratu, Regina Gloria Ravila Putri Pangalila Reski Wahyuni Rikna Aresta Lahutung Romeo Fernando Mikhael Dendeng Rumayar, Eroldy Saknohsiwy, Lorida Julensa Holiba Semuel Fendy Ngalo Sinta Tumbo Sondakh, Inggried Rillya Sondy C. Kumajas Sondy C. Kumajas Sondy Campvid Kumajas Stevanus Kembuan Stiven Panambunan Syalomita Cinta Tiara Pongmangatta Tinambunan, Medi Hermanto Tiwi, Heri Susan Tresya Veronika Deil Tular, Feonri Vivi Peggie Rantung Waraney Maurits Kambey Wayne Kemur Wilma Wijayanti Wowor, Hanna Elisabeth Yosita Rante Tando