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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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A WebGIS-Based Location Analysis System for Disaster Mitigation in Bitung City Using Ray Casting and Haversine Formula Romeo Fernando Mikhael Dendeng; Kristofel Santa; Sondy C. Kumajas
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 3 (2026): Article Research July 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i3.16164

Abstract

Indonesia is highly vulnerable to multi-hazard natural disasters, and Kota Bitung specifically faces high risks due to its geographical contours. Currently, the dissemination of disaster information by the Regional Disaster Management Agency (BPBD) relies heavily on conventional static maps. Most existing disaster WebGIS platforms focus merely on static visualization and lack an integrated system capable of instantly analyzing a user's coordinate status against multi-hazard spatial polygons while simultaneously providing location-based evacuation routing. To address this gap, this research aims to design and develop a responsive WebGIS that allows users to independently detect their risk status and logically find the nearest evacuation route. The system development utilizes the Rapid Application Development (RAD) method. The core engine integrates the Ray Casting algorithm to solve the Point-in-Polygon problem against disaster zone boundaries, and the Haversine Formula to calculate the nearest available evacuation point. Based on comprehensive evaluations, including accuracy testing, spatial distance validation, and 11 distinct black-box testing scenarios, the system successfully processed GPS-based coordinate inputs, handled polygon boundary edge-cases, and generated evacuation routes using the OpenSource Routing Machine (OSRM). Ultimately, the proposed system provides a functional prototype for location-based disaster risk analysis and evacuation point recommendation, serving as a foundational interactive instrument to support emergency preparedness in Kota Bitung.
Unemployment Forecasting in North Sulawesi Using a Long Short-term Memory (LSTM) Algorithm Melati Roring; Gladly Caren Rorimpandey; Kristofel Santa
INSERT : Information System and Emerging Technology Journal Vol. 7 No. 1 (2026)
Publisher : Information System Study Program, Faculty of Engineering and Vocational, Undiksha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/insert.v7i1.111436

Abstract

Unemployment remains a key socio-economic indicator that reflects both economic performance and human development conditions at the regional level. In North Sulawesi Province, unemployment levels have shown noticeable fluctuations over the past two decades, driven by changes in labour market structure, workforce characteristics, and development outcomes. This study aims to forecast the number of unemployed people in North Sulawesi by applying a multivariate Long Short-Term Memory model capable of capturing long-term temporal dependencies in time-series data. The analysis uses annual data published by Statistics Indonesia for the period 2000–2025. Several explanatory variables are selected through Pearson correlation analysis, including the Open Unemployment Rate, the number of unemployed women, the population that has never been employed, and the Human Development Index. All variables are normalised and transformed into five-year sliding windows to preserve temporal relationships. The model is constructed using a single hidden layer with 32 units and a dropout rate of 0.2 and is trained using the Adam optimisation algorithm. The evaluation results indicate that the proposed model achieves satisfactory predictive accuracy, with a Mean Absolute Error of 2,960 persons, a Root Mean Square Error of 3,454 persons, and a Mean Absolute Percentage Error of 3.56 percent. Forecasting results for the 2026–2030 period show a gradual decline in unemployment levels. These findings suggest that the model provides reliable unemployment projections and supports data-driven employment policy planning in North Sulawesi.
Sistem Pendukung Keputusan Pemilihan Foundation Makeup Menggunakan Metode Fuzzy Berbasis Mobile Ferjenia Feybelia; Ferdinan Sangkop; Kristofel Santa
JOINTER : Journal of Informatics Engineering Vol 7 No 01 (2026): JOINTER : Journal of Informatics Engineering
Publisher : Program Studi Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/jointer.v7i01.245

Abstract

Choosing a cosmetic is not easy, most buyers only see advertisements and promos, without reading the ingredients contained in the product that cause itching, irritation, and pimples on the face because the product is not suitable for the type of facial skin. For that, an application is needed to support the decision making of foundation makeup that is suitable for the type of facial skin to make it easier to find foundation products. This system helps users to support their decisions by recommending products that are suitable for the skin type of each individual who has different types of facial skin ranging from dry, normal, and oily skin. The purpose of this research is to design a decision support system application that will make it easier for users to find foundation makeup products according to the needs of the skin. Fuzzy Logic Method (Fuzzy Logic) was first introduced by Prof. Lotfi A. Zadeh in 1965. The basis of Fuzzy Logic is the theory of Fuzzy sets. In Fuzzy set theory, the role of disclosure level as a determinant of the existence of elements in a set is very important. The expected results can help make-up beginners or customers to choose a foundation that suits their skin type.
Implementasi Algoritma AES-128 Untuk Keamanan Dokumen Soal Ujian di SMA Negeri 1 Kabawo Irwan Irwan; Alfiansyah Hasibuan; Kristofel Santa
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 5 No. 2 (2026): Mei-Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v5i2.9848

Abstract

Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem pengamanan dokumen soal ujian berbasis web menggunakan algoritma Advanced Encryption Standard (AES)-128 di SMA Negeri 1 Kabawo. Permasalahan utama yang ditemukan adalah pengelolaan dokumen soal ujian masih dilakukan secara manual menggunakan media penyimpanan lokal dan aplikasi pesan instan tanpa perlindungan keamanan yang memadai. Kondisi tersebut menyebabkan tingginya risiko kebocoran, kehilangan, dan penyalahgunaan dokumen oleh pihak yang tidak berwenang. Penelitian ini menggunakan metode pengembangan sistem Waterfall yang meliputi analisis kebutuhan, perancangan sistem, implementasi, pengujian, dan pemeliharaan. Teknik pengumpulan data dilakukan melalui observasi, wawancara, studi dokumentasi, dan studi literatur. Sistem dikembangkan menggunakan framework CodeIgniter dengan basis data MySQL serta menerapkan algoritma AES-128 untuk proses enkripsi dan dekripsi dokumen. Hasil penelitian menunjukkan bahwa sistem mampu mengenkripsi dokumen menjadi ciphertext sehingga tidak dapat dibaca tanpa kunci dekripsi yang sesuai. Proses dekripsi juga berhasil mengembalikan dokumen ke bentuk asli tanpa kehilangan data. Pengujian menggunakan metode Blackbox Testing, Unit Testing, Integration Testing, dan User Acceptance Testing menunjukkan seluruh fitur sistem berjalan dengan baik, stabil, aman, serta mudah digunakan oleh pengguna sekolah. Sistem ini juga mampu membantu pihak sekolah dalam mengelola dokumen secara lebih terstruktur, efisien, dan terkontrol sehingga dapat meminimalkan potensi kebocoran soal ujian. Dengan demikian, implementasi AES-128 terbukti efektif dalam meningkatkan keamanan dan kerahasiaan dokumen soal ujian di SMA Negeri 1 Kabawo.
Penerapan Teknik Google Dorking Untuk Identifikasi Kerentanan Sensitive Data Exposure Menggunakan Google Hacking Database (GHDB) Dengan Metode Focused Crawling: Studi Kasus Situs NASA Francesco Jeremy Topol; Quido C. Kainde; Kristofel Santa
Jurnal Sains Informatika Terapan Vol. 5 No. 2 (2026): Jurnal Sains Informatika Terapan (Juni, 2026)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v5i2.1076

Abstract

Di era digital saat ini, kebocoran data sensitif (Sensitive Data Exposure) menjadi ancaman serius bagi integritas organisasi, sering kali disebabkan oleh kesalahan konfigurasi izin akses misalnya studi kasus ini yaitu pada layanan penyimpanan awan seperti Google Drive dan Spreadsheet. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem audit keamanan otomatis bernama DorkWatch untuk mengidentifikasi potensi kebocoran data pada domain nasa.gov. Penelitian ini memanfaatkan sumber data primer berupa aset digital yang terindeks pada domain nasa.gov dan subdomain terkait, yang dikumpulkan secara real-time melalui pemanfaatan 5 kueri dork spesifik dari Google Hacking Database (GHDB) yang menargetkan ekosistem Google Workspace. Dalam proses pengujian yang dilakukan, dengan limit 25 hasil pencarian sistem berhasil mengekstraksi dataset yang mencakup tautan layanan penyimpanan awan publik (Google Drive dan Docs) dari konten HTML serta metadata file PDF menggunakan Regular Expression (Regex) dengan metode Focused Crawling. Dataset yang dihasilkan kemudian diklasifikasikan secara otomatis ke dalam 2 kategori utama, yaitu Docs Exposure dan Drive Exposure. Sistem ini dibangun menggunakan bahasa pemrograman Python dengan kerangka kerja Flask, dan menerapkan teknik Google Dorking berbasis Google Hacking Database (GHDB) untuk pencarian dokumen publik dan metode Focused Crawling untuk penelusuran aset digital secara lebih terarah, serta melakukan analisis risiko otomatis berdasarkan validasi status HTTP dan deteksi kata kunci sensitif. Hasil pengujian menunjukkan bahwa sistem DorkWatch efektif dalam menemukan dan mengklasifikasikan aset NASA yang terekspos ke publik, termasuk tautan file Google Docs serta folder dan file Google Drive yang tidak muncul pada hasil pencarian standar, sehingga membuktikan bahwa integrasi metode ini efisien dalam memitigasi risiko kebocoran informasi.
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 Efraim R. S. Moningkey Efraim Ronald Stefanus Moningkey Efraim Ronald Stefanus Moningkey Enjelita Radjakore Ezra Matthew Warouw Runturamby Fanuel Juventino Palandeng Ferdinan I. Sangkop Ferdinan Sangkop Ferjenia Feybelia Filisia R. Terok Francesco Jeremy Topol Geralda Lucia Rumondor Gitarosalina Sibarani Gladly Caren Rorimpandey Glenn D. P. Maramis Glenn David Paulus Maramis Glenn David Paulus Maramis Glenn David Paulus Maramis Glenn 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 Moningkey, Efraim R. S. 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