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All Journal JOINTER : Journal of Informatics Engineering Jurnal Matetes Journal of Informatics and Computer Engineering Research
Jonathan Wijaya
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Religion Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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Sistem Informasi Lembaga Pembinaan Khusus Anak Kelas II Tomohon Berbasis Web Tirsa Kaunang; Jonathan Wijaya; Sondy Kumajas
JOINTER : Journal of Informatics Engineering Vol 1 No 02 (2020): JOINTER : Journal of Informatics Engineering
Publisher : Program Studi Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/jointer.v1i02.13

Abstract

Abstract—Correctional Information is public information that is produced and managed by the Directorate General of Prisons, region offices, and correctional technical units related to the administration of prisns in accordance with the provisions of the invitation and other information relating to the public interest. It is obligatory to present correctional information, expecially in LPKA Class II Tomohon, which is still manual, where people who want to see correctional information must come to LPKA Class II Tomohon. Therefore, a web-based information system was created which makes it easy to convey correctional information and also helps in submitting complaints. The research method used in this system is the waterfall which consists od analysis, design, code, and testing. The system modeling tool used is UML and testing uses the blackbox testing method.
GEN Z, MISI DIASPORA, DAN AKSI SOSIAL: SEBUAH USULAN PENJANGKAUAN KEPADA DAN MELALUI GEN Z BERBASIS MISI DIASPORA DAN AKSI SOSIAL Jonathan Wijaya
Jurnal Matetes STT Ebenhaezer Vol. 5 No. 2 (2023): Pelayanan Misi Kristen di Era Industri 5.0
Publisher : Jurnal Matetes STT Ebenhaezer

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Abstract

Until today, Christian missions are a responsibility of the Christian community that should not be neglected. However, it is inevitable that the proclamation of the Gospel cannot always be accepted by everyone, especially Gen Z. Compared with social action, Christian missions are seen as bad by Gen Z. In fact, they are the largest community that has not been reached by the Gospel of Jesus Christ. Then a question arises from the author? How can they be won to Christ? Through literature analysis, the author will propose a diaspora mission and social action to reach Gen Z which is expected to encourage them to also reach out to others. This can be achieved by the author in 4 stages, namely first, the author provides an overview of Gen Z. After that, the author will provide an overview of the diaspora mission. Then, the author provides an analysis related to diaspora missions and Gen Z. Finally, the author will conclude that diaspora missions and social action are one of the proposals for reaching Gen Z and it is hoped that they can also reach other people to the Lord Jesus.
IMPLEMENTASI TF-IDF DAN KNN PADA REKOMENDASI JURNAL OTOMATIS Jonathan Wijaya; Fernando Sugianto Putra; Hafiz Irsyad; Abdul Rahman
Journal of Informatics and Computer Engineering Research Vol. 2 No. 1 (2025)
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/jicer.v2i1.5565

Abstract

In the rapidly evolving digital era, finding relevant journals has become a challengefor students, researchers, and academics. The easy access to journal publications hasled to an increase in the number of available journals. Therefore, there is a need fora recommendation system based on related journals automatically using the TF-IDFand K-Nearest Neighbor (KNN) approaches with cosine distance. The goal is toenhance the efficiency and accuracy of journal searches. The first step is to process the text taken from the titles and abstracts of the journals into numerical vectors using TF-IDF to determine the importance of words in each document. Then, KNN is used to find the journals that are most similar to the specified journal based on the distance between TF-IDF vectors. Precision@3 is used to evaluate the results of the top three recommendations. The evaluation results show highly relevant recommendations, with a Precision@3 value of 1. This system has successfully improved the efficiency and accuracy of automatic journal searches for relevant content
Co-Authors Abdul Rahman Fernando Sugianto Putra Hafiz Irsyad Sondy C. Kumajas Tirsa Kaunang