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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 EDUMATIC: Jurnal Pendidikan Informatika 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) JOINTER : Journal of Informatics Engineering 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 Innovative: Journal Of Social Science Research Jurnal Penelitian Teknologi Informasi dan Sains The Indonesian Journal of Computer Science semanTIK Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi
Kristofel Santa
Universitas Negeri Manado
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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
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
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.
Literasi Digital untuk mengurangi dampak konten negatif bagi ibu-ibu rumah tangga di Minahasa Utara Santa, Kristofel
Jurnal Locus Penelitian dan Pengabdian Vol. 2 No. 4 (2023): Journal Locus Penelitian dan Pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v2i4.968

Abstract

Dalam beberapa tahun terakhir, literasi digital menjadi topik penting dalam mengurangi dampak konten negatif bagi ibu-ibu rumah tangga. Penelitian ini bertujuan meningkatkan kemampuan masyarakat dalam menggunakan internet secara aman, sehat, dan produktif. Kegiatan PKM ini Menggunakan metode 3 tahapan yaitu Persiapan/PreTest, Pelaksanaan, Evaluasi/Post Test. Program PKM yang difokuskan pada literasi digital untuk mengurangi dampak konten negatif bagi ibu-ibu rumah tangga telah menunjukkan hasil yang positif. Berdasarkan hasil evaluasi, program ini berhasil meningkatkan pengetahuan, keterampilan, dan kesadaran peserta tentang literasi digital dan keamanan daring. Dampak jangka panjang dari program ini mencakup penurunan insiden akses konten negatif oleh peserta dan peningkatan kepercayaan diri dalam mengelola teknologi serta mengajari anggota keluarga tentang pentingnya literasi digital. Namun, terdapat beberapa aspek yang perlu ditingkatkan untuk memperluas cakupan dan efektivitas program PKM di masa depan.
Sistem Kontrol Kualitas Air Berbasis Internet of Things Menggunakan Metode Prototype di Desa Pinapalangkow Wowor, Hanna Elisabeth; Rantung, Vivi Peggie; Santa, Kristofel
Innovative: Journal Of Social Science Research Vol. 4 No. 3 (2024): Innovative: Journal Of Social Science Research (Special Issue)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i3.11661

Abstract

Kualitas air yang memadai sangat penting untuk kesehatan dan kesejahteraan masyarakat. Namun, masih ada tantangan dalam memastikan ketersediaan air bersih yang memadai, terutama di Indonesia. Penelitian ini bertujuan untuk mengatasi masalah tersebut dengan merancang dan mengimplementasikan sistem kontrol kualitas air berbasis Internet of Things (IoT) di Desa Pinapalangkow. Dengan menggunakan pendekatan IoT, sistem ini memungkinkan pengawasan dan kontrol kualitas air secara real-time dan otomatis. Komponen utama sistem mencakup sensor pH, Arduino UNO R3, Modul WiFi ESP8266-01, LCD, Buzzer, Relay 1 Channel 5 Volt, dan Pompa Air Mini 12 Volt. Hasil pengukuran dapat diakses melalui platform ThingSpeak pada Laptop/PC dan aplikasi ThingView pada smartphone Android. Penelitian ini menghasilkan sebuah prototipe yang berhasil dalam memberikan informasi mengenai kualitas air yang digunakan untuk keperluan sehari-hari dan membantu menormalisasi kadar pH air. Implementasi prototipe pada bak penampungan air memerlukan penyesuaian jumlah sensor berdasarkan luas permukaan dan jangkauan sensor untuk menghasilkan data yang akurat. Sistem ini diharapkan dapat memudahkan masyarakat dalam memantau dan mengontrol kualitas air yang digunakan, serta dapat memberikan kontribusi dalam meningkatkan kesadaran lingkungan dan kesehatan masyarakat. Kata Kunci: Desa Pinapalangkow, Internet of Things (IoT), Kontrol, Kualitas Air, ThingSpeak.
Co-Authors Agnia Paputungan Aldo Napu Alfiansyah Hasibuan Amran Panjaitan Andi R. Widyastuti Archangela G. Repi Arsila Duaulu Atuna, Annisa Salsabilah Audy Aldrin Kenap Basilius Mario Vikranta Rahanubun Ben Shalom Manopo Christenia Tagah Daeng, Mushendra Dani Orlando Daniel Riano Kaparang Detuage, Rivni Djami Olii Efraim R. S. Moningkey Ezra Matthew Warouw Runturamby Ferdinan I. Sangkop Filisia R. Terok Francesco Jeremy Topol Geralda Lucia Rumondor Gladly C. Rorimpandey Gladly Caren Rorimpandey Glenn D. P. Maramis Glenn David Paulus Maramis Glenn Maramis Gratia Whaitney Injili Dotulong Harisondak, Della Deviani Inda, Inda Indi Rahayu Ningsi Inggried Rillya Sondakh Irene R. H. T. Tangkawarow Irwan Irwan Jessa V Komaling Joy C. Rampi Julio Tabea Kambey, Waraney Maurits Kevin Mclaren Pandoh Kezya Tjanahu Krina Crisila T. Mawuntu Lisa Menden Maria Rina Rumengan Martina Lorensa Medi Hermanto Tinambunan Moningkey, Efraim Moningkey, Efraim R. S. Moningkey, Efraim Ronald Stefanus Muhammad Lukmansyah Sulaiman Nanda, Agus Estepen 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 Rahellea Joiby Onibala Ratu, Regina Gloria Romeo Fernando Mikhael Dendeng Rumayar, Eroldy Saknohsiwy, Lorida Julensa Holiba Semuel Fendy Ngalo Sinta Tumbo Sondakh, Inggried Rillya Sondy C. Kumajas Sondy C. Kumajas Stiven Panambunan Syalomita Cinta Tiara Pongmangatta Tinambunan, Medi Hermanto Tiwi, Heri Susan Tular, Feonri Vivi Peggie Rantung Waraney Maurits Kambey Wilma Wijayanti Wowor, Hanna Elisabeth Yosita Rante Tando