Article Per Year (5 Year)
p-Index From 2020 - 2025
4.184
P-Index
This Author published in this journals
All Journal Journal of Innovation and Future Technology (IFTECH) TIN: TERAPAN INFORMATIKA NUSANTARA Academia Open 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 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
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

Published : 28 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 28 Documents
Search

 1   2   3 
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.
IMPLEMENTASI METODE EXTREME PROGRAMMING PADA APLIKASI PELAYANAN PUBLIK KEWASPADAAN NASIONAL DAN PENANGANAN KONFLIK KESBANGPOL KOTA MANADO Santa, Kristofel; Karouw, Rafter Johanes
Journal of Innovation And Future Technology (IFTECH) Vol. 7 No. 1 (2025): Vol 7 No 1 (Februari 2025): Journal of Innovation and Future Technology (IFTECH
Publisher : LPPM Unbaja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/iftech.v7i1.3647

Abstract

The development of information technology has had a significant impact on various aspects of life, including governance and public services. In this digital era, the use of information technology has rapidly increased, enabling the creation of good governance through transparency and accountability. In Manado City, the National Unity and Politics Agency (Kesbangpol) has a mission to provide fast, accurate, and friendly services to the community. However, limitations in human resources and manual archiving sistems have led to delays in issuing activity recommendation letters and difficulties in data management. To address these issues, it is necessary to develop the "Application for National Vigilance and Conflict Management Services at Kesbangpol Manado City." The method to be used in developing this application is Extreme programming (XP). The XP method is highly relevant as it focuses on team collaboration, rapid feedback, and iteration, allowing for adaptive and responsive software development that meets user needs. With this approach, the team can quickly respond to changes in requirements and improve features based on user input, ensuring that the resulting application is not only efficient but also aligned with user expectations. It is hoped that this application will enhance the efficiency of managing recommendation letters and simplify the monitoring and evaluation processes, thus enabling public services to be delivered in accordance with established standards.
PENGGUNAAN ASYNCHRONOUS JAVASCRIPT AND XML (AJAX) PADA RANCANG BANGUN SISTEM E-LEARNING PENINGKATAN LITERASI SEJARAH DAN BUDAYA SULAWESI UTARA Kembuan, Stevanus; Santa, Kristofel
Journal of Innovation And Future Technology (IFTECH) Vol. 7 No. 1 (2025): Vol 7 No 1 (Februari 2025): Journal of Innovation and Future Technology (IFTECH
Publisher : LPPM Unbaja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/iftech.v7i1.3651

Abstract

Indonesia ranks low in global literacy, with various surveys indicating a very low level of reading interest. To address this, the Ministry of Education and Culture launched the National Literacy Movement (GLN) in 2016, which includes cultural literacy aimed at preserving culture and promoting tolerance among the Indonesian people. However, the lack of educational materials on cultural literacy could threaten these positive achievements, particularly in North Sulawesi, a region with a high religious harmony index. As time progresses, it is hoped that existing technology can be utilized to provide solutions to human challenges, including improving human resources and promoting cultural and historical development. Therefore, this study aims to design an AJAX-based e-learning sistem focused on the history and culture of North Sulawesi, featuring interactive elements such as learning modules, quizzes, and discussion forums. The sistem will integrate technology with local culture to ensure that younger generations do not lose their national identity and cultural heritage, even in the middle of technological advancements.
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
Co-Authors Aldo Napu Alfiansyah Hasibuan Andi R. Widyastuti Atuna, Annisa Salsabilah Audy Aldrin Kenap Daeng, Mushendra Dani Orlando Daniel Riano Kaparang Djami Olii Ezra Matthew Warouw Runturamby Ferdinan I. Sangkop Filisia R. Terok Gladly Caren Rorimpandey Harisondak, Della Deviani Inda, Inda Kambey, Waraney Maurits Karouw, Rafter Johanes Kembuan, Stevanus Krina Crisila T. Mawuntu Kumajas, Sondy C. Martina Lorensa Moningkey, Efraim Moningkey, Efraim Ronald Stefanus Nanda, Agus Estepen Ningsi, Indi Rahayu Olivia Kembuan Pagala, J. Rifaldo Panambunan, Stiven Pandoh, Kevin Mclaren parabelem tinno dolf rompas Peggy Veronica Togas Quido Conferti Kainde Rumayar, Eroldy Saknohsiwy, Lorida Julensa Holiba Tiwi, Heri Susan Vivi Peggie Rantung Waraney Maurits Kambey Wijayanti, Wilma Wowor, Hanna Elisabeth