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All Journal Sistemasi: Jurnal Sistem Informasi IKRA-ITH Informatika : Jurnal Komputer dan Informatika JURIKOM (Jurnal Riset Komputer) Journal of Information Systems and Informatics Journal of Innovation and Future Technology (IFTECH) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer TIN: TERAPAN INFORMATIKA NUSANTARA Academia Open Jurnal Teknik Informatika (JUTIF) 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 Locus Penelitian dan Pengabdian Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Sains Informatika Terapan (JSIT) Innovative: Journal Of Social Science Research Jurnal Penelitian Teknologi Informasi dan Sains The Indonesian Journal of Computer Science Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi FIMERKOM: Journal of Information Systems and Technology
Kristofel Santa
Universitas Negeri Manado
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry 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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DEVELOPMENT OF A WEB-BASED BATAK SIMALUNGUN REGIONAL LANGUAGE CORPUS USING THE RAPID APPLICATION DEVELOPMENT METHOD Nanda, Agus Estepen; Rantung, Vivi P; Santa, Kristofel
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.4.2210

Abstract

The development of information technology has had a big influence on regional languages. Corpus data stored digitally will be very important in the future. One of the benefits of using corpus data in language analysis is that it can facilitate the process of identifying the most commonly used words or phrases in a language. Currently there are no data analysis results from the Simalungun Batak language corpus that can be utilized by the observers and there is a lack of research on the Simalungun Batak language corpus. This research aims to preserve and increase the resources of the Simalngun Batak language which is implemented in developing a web-based corpus of the Simalungun Batak regional language using the rapid application development method and can later be used by the Pekamus to compile a Simalungun Batak language dictionary. The final result is a website that can analyze the Simalungun regional language and with this website, the observers will easily analyze words from the Batak Simalungun regional language.
Peringkas Teks Otomatis Berita Online Komisi Pemilihan Umum Menggunakan Algoritma K-Means Clustering Ezra Matthew Warouw Runturamby; Vivi Peggie Rantung; Kristofel Santa
Prosiding SISFOTEK Vol 8 No 1 (2024): SISFOTEK VIII 2024
Publisher : Ikatan Ahli Informatika Indonesia

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

Abstract

This research aims to develop an automatic text summarization system capable of summarizing online news about the General Election Commission (KPU) using the K-Means Clustering algorithm. In the current digital era, online news has become a primary source of information for the public, but the overwhelming amount of available information often makes it difficult for readers to filter and comprehend news efficiently. The low reading interest of the public further exacerbates this issue. Therefore, the automatic text summarization system is expected to provide a solution by helping readers quickly and effectively grasp the essence of the news. The K-Means Clustering algorithm will group sentences in the news into several clusters, which will then be used to create a representative summary. This research also identifies challenges such as the accuracy of the summary and the diversity of language in the news. The implementation of this system is expected to improve readers' time efficiency, provide better access to information, and support increased public participation in the democratic process.
Perbandingan Algoritma Regresi Linear dengan Algoritma Backpropagation dalam Estimasi Timbulan Sampah di Sulawesi Utara Martina Lorensa; Rorimpandey, Gladly C.; Santa, Kristofel
The Indonesian Journal of Computer Science Vol. 13 No. 5 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i5.4093

Abstract

Pada penelitian ini dilakukan perbandingan dua algoritma untuk estimasi timbulan sampah yaitu algoritma regresi linear dengan algoritma backpropagation. Tujuan dari penelitian ini yaitu untuk mengetahui model algoritma dengan performa terbaik yang dihasilkan dari kedua algoritma tersebut yang mana algoritma dengan kinerja terbaik akan digunakan dalam pembuatan sistem estimasi timbulan sampah. Hasil penelitian menunjukkan bahwa berdasarkan hasil evaluasi model untuk kedua algoritma menggunakan data uji didapatkan bahwa model regresi linear sederhana memiliki kinerja yang lebih baik dari pada model backpropagation. Untuk nilai error pengujian data uji dengan metrik evaluasi MSE dan MAE pada model algoritma regresi linear yaitu sebesar 0,034382 dan 0,13332 dibandingkan dengan backpropagation didapatkan nilai MSE dan MAE sebesar 0,03457 dan 0.13974. Dan pada penelitian ini telah dibuat sistem estimasi timbulan sampah menggunakan algoritma regresi linear sederhana dengan pengujian algoritma memiliki nilai error MAPE kurang dari 10% yang mana masuk dalam kategori sangat akurat.
PENERAPAN MODEL PEMBELAJARAN PROBLEM BASED LEARNING PADA MATA PELAJARAN MULTIMEDIA DI SMK Waraney Maurits Kambey; Kristofel Santa; Peggy Veronika Togas
Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Vol. 1 No. 2 (2021): EduTIK : April 2021
Publisher : Jurusan PTIK Universitas Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/edutik.v1i2.2258

Abstract

Penelitian ini bertujuan untuk meningkatkan hasil belajar siswa setelah mengikuti proses pembelajaran dengan menggunakan model pembelajaran problem based learning. Penelitian ini dilaksanakan di SMK Negeri 2 Manado, pada semester ganjil tahun ajaran 2020/2021. Metode penelitian yang digunakan adalah Penelitian Tindakan Kelas (PTK) yang dilakukan sebanyak 2 siklus. Setiap siklus terdiri dari empat tahapan, yaitu perencanaan, tindakan, observasi dan refleksi. Subjek penelitian ini adalah siswa kelas X yang berjumlah 33 orang. Instrumen penelitian yang digunakan adalah tes hasil belajar yang berupa tes essay. Hasil penelitian ini menunjukkan bahwa model pembelajaran problem based learning dapat meningkatkan hasil belajar desain grafis. Dari 33 siswa, pencapaian KKM mengalami peningkatan yaitu rata-rata hasil belajar siswa pada siklus 1 sebesar 76% mengalami peningkatan pada siklus 2 menjadi 94% yang tuntas. Hal ini jelas menunjukkan bahwa hasil belajar siswa mengalami peningkatan dari siklus 1 ke siklus 2. Dengan demikian, siklus 2 sudah memenuhi indikator pencapaian hasil belajar siswa.
TRACKING DAN MONITORING TRUK PENGANGKUT SAMPAH DI DINAS LINGKUNGAN HIDUP KABUPATEN MINAHASA Daeng, Mushendra; Rompas, Parabelem Tinno Dolf; Santa, Kristofel
JOINTER : Journal of Informatics Engineering Vol 6 No 01 (2025): JOINTER : Journal of Informatics Engineering
Publisher : Program Studi Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/jointer.v6i01.306

Abstract

As technology develops in our lives, this results in demands in every aspect, for example in government institutions. In this case, technological developments are in the form of application systems and the web, where the web functions for monitoring and the application functions for tracking, which is useful for assisting office employees in supervising field workers, namely waste transport drivers. The development of this system uses the RAD method which has 4 stages, namely planning, system design, development process and collecting feedback, then implementation, while for developing Android-based applications using the Flutter Framework with the Dart programming language and for the website itself using the Laravel Framework with the PHP programming language. It is hoped that this research can facilitate the monitoring process, reduce errors in the reporting process, and increase the efficiency of the work processes of employees in the Minahasa Regency Environmental Service.
Geospatial Validation for Task Letter Automation in Tomohon City: Validasi Geospasial untuk Otomatisasi Surat Tugas di Kota Tomohon Moningkey, Efraim; Atuna, Annisa Salsabilah; Santa, Kristofel
Indonesian Journal of Innovation Studies Vol. 26 No. 4 (2025): October
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i4.1745

Abstract

General background. Digital transformation is central to modernizing public services and improving administrative reliability. Specific background. At the Tomohon City Land Office, manual task letter issuance and attendance monitoring often cause delays and errors. Knowledge gap. Previous research largely focused on GPS-based attendance systems without integrating automated task letter generation. Aims. This study aims to develop a web-based information system integrating task letter automation and geospatial attendance validation using the Haversine algorithm. Results. The system automatically generates task letters, embeds geolocation data, and verifies officer attendance within a specified radius in real time. Testing confirmed accurate distance calculations, reduced administrative errors, and improved task monitoring. Novelty. The integration of Haversine-based geospatial validation with administrative automation in the land sector represents a unique contribution to digital governance. Implications. The system provides a scalable model for modernizing bureaucratic processes and supports Indonesia’s e-government initiatives through accurate, real-time monitoring of field activities. Highlight Development of a web-based system integrating task letter automation and geospatial validation Accurate attendance verification through the Haversine algorithm in real time Supports bureaucratic modernization and e-government initiatives in the land sector KeywordWeb Based Information System, Haversine Algorithm, Task Assignment, Attendance Monitoring, E-Government
Implementasi Vector Space Model pada Aplikasi Pengarsipan Berbasis Web di POLDA Sulut Panambunan, Stiven; Hasibuan, Alfiansyah; Santa, Kristofel
Jurnal Minfo Polgan Vol. 14 No. 2 (2025): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v14i2.15203

Abstract

Transformasi digital dalam pengelolaan arsip menjadi kebutuhan mendesak bagi instansi pemerintah, termasuk Direktorat Samapta Unit K-9 POLDA Sulawesi Utara. Selama ini, proses pengarsipan dokumen masih dilakukan secara manual, sehingga pencarian arsip memerlukan waktu lama, rawan kehilangan, dan kurang efisien. Penelitian ini bertujuan untuk membangun dan mengimplementasikan sistem pengarsipan berbasis website dengan algoritma Vector Space Model (VSM) guna meningkatkan efisiensi pencarian dokumen. Metode penelitian meliputi analisis kebutuhan, perancangan sistem, implementasi algoritma VSM, dan evaluasi berdasarkan standar ISO/IEC 25010 yang menilai aspek performance efficiency, usability, dan security. Sistem dikembangkan menggunakan PHP, MySQL, Bootstrap, dan diuji pada lingkungan Direktorat Samapta Unit K-9 POLDA Sulut. Hasil penelitian menunjukkan bahwa penerapan VSM mampu mempercepat proses pencarian dokumen dengan hasil yang relevan terhadap kata kunci (query) yang dimasukkan, serta memberikan nilai kesamaan (similarity) untuk mengurutkan hasil pencarian. Evaluasi menunjukkan sistem memenuhi aspek kinerja dan kemudahan penggunaan, meskipun aspek keamanan masih memerlukan penguatan seperti enkripsi kata sandi dan autentikasi ganda. Kesimpulannya, implementasi VSM pada sistem pengarsipan berbasis web efektif dalam meningkatkan kecepatan dan akurasi pencarian arsip di lingkungan kepolisian. Penelitian selanjutnya disarankan untuk menambahkan fitur keamanan lanjutan, pengujian formal usability, serta pengembangan aplikasi berbasis mobile agar sistem dapat diakses secara lebih fleksibel.
Support Vector Machine Algorithm for Classifying Public Satisfaction Index: Algoritma Mesin Vektor Dukungan untuk Klasifikasi Indeks Kepuasan Publik Moningkey, Efraim Ronald Stefanus; Harisondak, Della Deviani; Santa, Kristofel
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
Aplikasi Pendeteksi dan Pengklasifikasi Sampah Berbasis Android Menggunakan Algoritma SSD MobileNetV2 Rumayar, Eroldy; Kainde, Quido Conferti; Santa, Kristofel
TIN: Terapan Informatika Nusantara Vol 6 No 5 (2025): October 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i5.8453

Abstract

This study aims to develop a waste detection and classification application using the SSD MobileNetV2 algorithm based on an Android application. The problem of waste, especially waste generation, is a crucial issue that needs to be addressed, one of the factors being the lack of public awareness regarding waste sorting. Various efforts to increase public awareness of waste sorting that have been carried out, such as socialization, counseling, the use of brochure media, and poster media, require a lot of time, effort, and resources. This research was conducted to propose a more efficient and practical approach to education as well as handling waste sorting, namely by using an Android application integrated with the SSD MobileNetV2 object detection algorithm. The method used in this study consists of the process of collecting datasets of waste objects with types of organic, inorganic, and hazardous and toxic materials (B3), then training the SSD MobileNetV2 algorithm using the MediaPipe framework with the mediapipe-model-maker library, and developing an Android application integrated with the trained SSD MobileNetV2 algorithm using the MediaPipe framework with the Mediapipe Tasks Vision library. This study produced a synthetic dataset in Pascal VOC format with a total of 4302 images of waste objects divided into 80% for the training set and 20% for the validation set. The created dataset was then trained on the SSD MobileNetV2 algorithm with performance results of AP IoU=0.50:0.95 with a value of 0.847, AP IoU=0.50 with a value of 0.986, and AP IoU=0.75 with a value of 0.969. The trained SSD MobileNetV2 algorithm was then integrated into the developed Android application. The testing results on mid to high-end Android devices obtained an average inference time ranging from 165–230 ms. In addition, this application successfully detected waste objects according to those trained in the model. This application features a real-time scanning function with a classification mechanism for detected waste object types using bounding box colors, where organic waste is marked in green, inorganic waste in yellow, and B3 waste in red. With this mechanism, it provides an interactive experience for users in sorting their waste, thereby expected to increase awareness of waste sorting.
APLIKASI PENGELOLAHAN DOKUMEN PIDANA PENGADILAN NEGERI TONDANO KELAS IB BERBASIS WEB Saknohsiwy, Lorida Julensa Holiba; kembuan, Olivia; Santa, Kristofel
JOINTER : Journal of Informatics Engineering Vol 4 No 02 (2023): JOINTER : Journal of Informatics Engineering
Publisher : Program Studi Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/jointer.v4i02.275

Abstract

Abstract— The criminal document management application is designed to assist in the delivery of court decision excerpts, the scheduling of court sessions, the detention of the court chairperson, and the detention of judges from the Tondano District Court to the Prosecutor's Office (Minahasa, Tomohon, South Minahasa), Correctional Institutions (Minahasa, Tomohon, South Minahasa), and the delivery of search warrant decisions, extension of detention permits, and seizure permits to the Police (Minahasa, Tomohon, Southeast Minahasa). The purpose of this research is to design, build, and develop a web-based criminal document management application at the Tondano District Court, aiming to facilitate employees in managing and delivering each case decision efficiently. This system aims to provide fair legal services to seekers of justice. The criminal document management application utilizes extreme programming methodology and the CodeIgniter framework. The programming language used is PHP, and MySQL serves as the database. Access to this application is restricted to administrators appointed by the criminal junior clerk of the Tondano District Court, the Prosecutor's Office administrator, the Police administrator, and the Correctional Institution administrator.
Co-Authors Aldo Napu Alfiansyah Hasibuan Alfiansyah Hasibuan Andi R. Widyastuti Arbie, Arif Tegar Elgifari Atuna, Annisa Salsabilah Audy Aldrin Kenap Bojoh, Cristy E. P. Daeng, Mushendra Dani Orlando Daniel Riano Kaparang Detuage, Rivni Djami Olii Dotulong, Gratia Whaitney Injili Ezra Matthew Warouw Runturamby Ferdinan I. Sangkop Filisia R. Terok Gladly Caren Rorimpandey Glenn Maramis Harisondak, Della Deviani Hasibuan, Alfiansyah Inda, Inda Irene Realyta Halldy Trosi Tangkawarow Julio Tabea Kambey, Waraney Maurits Kawuwung, Prillya Chrisanta Esthefania Kowaas, Jonathan Krina Crisila T. Mawuntu Kumajas, Sondy C. Kumajas, Sondy Campvid Maramis, Glenn David Paulus Martina Lorensa Menden, Lisa Moningkey, Efraim Moningkey, Efraim R. S. Moningkey, Efraim Ronald Stefanus Muhammad Lukmansyah Sulaiman Nanda, Agus Estepen Nasib Marbun Ngalo, Semuel Fendy Ningsi, Indi Rahayu Olivia Kembuan Pagala, J. Rifaldo Palandeng, Fanuel Juventino Panambunan, Stiven Pandoh, Kevin Mclaren parabelem tinno dolf rompas Pateh, Qnardo Delon Peggy Veronica Togas Pesik, Luisa Maria Pongmangatta, Tiara Quido Conferti Kainde Rahanubun, Basilius Mario Vikranta Ranti, Marthasya Chantika Putri Ratu, Regina Gloria Rumayar, Eroldy Rumengan, Maria Rina Rumondor, Geralda Lucia Saknohsiwy, Lorida Julensa Holiba Sibarani, Gitarosalina Sondakh, Inggried Rillya Sondy C. Kumajas Tagah, Christenia Tendean, Chelsea Aprilia Tinambunan, Medi Hermanto Tiwi, Heri Susan Tular, Feonri Vivi Peggie Rantung Wagey, Imanuel Hiskia Wahyuni, Reski Waraney Maurits Kambey Wijayanti, Wilma Wowor, Hanna Elisabeth