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All Journal Sistemasi: Jurnal Sistem Informasi Bibliotika : Jurnal Kajian Perpustakaan dan Informasi Nusantara Journal of Information and Library Studies (N-JILS) Jurnal Informatika CCIT (Creative Communication and Innovative Technology) Journal Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Progresif: Jurnal Ilmiah Komputer Journal of Information Systems and Informatics Jurnal Teknologi Informasi dan Komunikasi Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Humantech : Jurnal Ilmiah Multidisiplin Indonesia IT-Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi Journal Papyrus : Sosial, Humaniora, Perpustakaan dan Informasi International Journal of Active Learning Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi
Rudy Latuperissa
Universitas Kristen Satya Wacana
Religion Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Other

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Perencanaan Strategis Sistem Informasi / Teknologi Informasi pada Perusahaan Menggunakan Metodologi Ward and Peppard (Studi Kasus: PT. XYZ) Kawalod, Jonathan Saul; Latuperissa, Rudy
Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Vol. 5 No. 6 (2025): EduTIK : Desember 2025
Publisher : Jurusan PTIK Universitas Negeri Manado

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

Abstract

Perkembangan teknologi informasi menuntut perusahaan memanfaatkan Sistem Informasi/Teknologi Informasi (SI/TI) secara optimal untuk meningkatkan efisiensi dan daya saing. PT XYZ masih menghadapi sejumlah permasalahan, seperti keterlambatan proyek, kurangnya integrasi antar sistem, dan keterbatasan infrastruktur TI. Penelitian ini bertujuan menyusun perencanaan strategis SI/TI yang selaras dengan kebutuhan bisnis perusahaan. Metodologi penelitian mengacu pada berbagai kerangka kerja, termasuk analisis SWOT, PEST, Porter’s Five Forces, Value Chain, dan Strategic Grid McFarlan untuk mengidentifikasi kondisi internal–eksternal serta menentukan portofolio aplikasi yang diperlukan. Hasil penelitian menunjukkan bahwa pemanfaatan SI/TI di PT XYZ masih bersifat parsial sehingga belum mendukung proses bisnis secara efektif. Penelitian ini menyimpulkan bahwa perusahaan perlu melakukan integrasi sistem, peningkatan infrastruktur, pengembangan kompetensi SDM, serta pembentukan divisi R&D sebagai strategi utama untuk meningkatkan kinerja operasional dan mendukung tujuan jangka panjang.
Analisis Tingkat Kepuasan Mahasiswa UKSW Terhadap F-Learn Dengan Pendekatan USER EXPERIENCE QUESTIONNAIRE (UEQ) Suak, Edwind Alex; Latuperissa, Rudy
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 11, No 1 (2026): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v11i1.945

Abstract

The rapid development of digital technology has transformed learning systems in higher education, particularly through the implementation of Learning Management Systems (LMS) as the primary platform for online learning. LMS plays an important role in supporting content delivery, academic communication, and flexible learning management. Universitas Kristen Satya Wacana (UKSW) developed an internal LMS called F-Learn as part of its digital learning development strategy. This study aims to evaluate student satisfaction with the F-Learn LMS as a basis for periodic evaluation to support sustainable system development. The study employed the User Experience Questionnaire (UEQ) using a quantitative approach consisting of problem identification, literature review, questionnaire-based data collection, data analysis and discussion, and conclusion formulation. A total of 139 active UKSW students participated as respondents. The results indicate that all UEQ variables fall into good and above-average categories, with dependability achieving the highest score (1.61), followed by efficiency (1.59) and perspicuity (1.56). However, stimulation (1.13) and novelty (1.09) recorded the lowest scores, indicating limited engagement and innovation. In conclusion, F-Learn adequately fulfills functional user needs, but improvements in interface design, content diversity, and interactive features are required to enhance the overall learning experience sustainably.
Eksplorasi Sentimen Publik di Media Sosial terhadap Isu RUU TNI Menggunakan Pendekatan Machine Learning Sandy Aprilyanto; Rudy Latuperissa
Progresif: Jurnal Ilmiah Komputer Vol 21, No 2 (2025): Agustus
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v21i2.2819

Abstract

The developments regarding the revision of the Indonesian National Armed Forces Law (RUU TNI) have sparked various reactions from the public, most of which have been expressed through social media platforms. This research aims to evaluate public opinion on the TNI Bill issue by utilizing machine learning technology and the Support Vector Machine (SVM) algorithm. Data were collected from three social networks, namely YouTube, Instagram, and X (formerly known as Twitter), with a total of 4,530 data points. The stages of data processing include web scraping, data cleaning, text preprocessing, automatic labelling using textblob, word weighting through TF-IDF, and data balancing using the SMOTE method. The sentiment classification results reveal that the majority of public opinions are positive and neutral, with the highest model accuracy achieved at parameter C = 1, namely 94.60% for YouTube, 95.80% for Instagram, and 97.33% for X. These findings demonstrate the effectiveness of the SVM approach in categorizing public opinions generated from social media, and imply that social media serves as an important source for understanding public views on national policy issues.Keywords:   Machine Learning; Support Vector Machine; SMOTE; Text Mining; TF IDF AbstrakPerkembangan mengenai revisi Undang-Undang Tentara Nasional Indonesia (RUU TNI) telah menimbulkan berbagai reaksi dari masyarakat, yang sebagian besar disampaikan melalui platform media sosial. Penelitian ini bertujuan untuk mengevaluasi pandangan publik terhadap isu RUU TNI dengan memanfaatkan teknologi pembelajaran mesin dan algoritma Support Vector Machine (SVM). Data dikumpulkan dari tiga jejaring sosial, yaitu YouTube, Instagram, dan X (yang sebelumnya dikenal sebagai Twitter), dengan total sebanyak 4.530 data. Tahapan pengolahan data mencakup web scraping, pembersihan data, pra-pemrosesan teks, pelabelan otomatis menggunakan TextBlob, pemberian bobot kata melalui TF-IDF, serta penyeimbangan data dengan metode SMOTE. Hasil klasifikasi sentimen mengungkapkan bahwa sebagian besar pendapat masyarakat bersifat positif dan netral, dengan akurasi tertinggi dari model dicapai pada parameter C = 1, yaitu 94,60% untuk YouTube, 95,80% untuk Instagram, dan 97,33% untuk X. Temuan ini menunjukkan efektivitas pendekatan SVM dalam mengkategorikan pendapat publik yang dihasilkan dari media sosial, serta menyiratkan bahwa media sosial berfungsi sebagai sumber penting untuk memahami pandangan masyarakat terhadap masalah kebijakan nasional.Kata kunci: Machine Learning; Support Vector Machine; SMOTE; Text Mining; TF IDF
PENGEMBANGAN SISTEM PRESENSI DAN MONITORING PEGAWAI DI DINAS PERUMAHAN DAN KAWASAN PERMUKIMAN KOTA SALATIGA Zebua, Oggy Dwi Ziduhu; Latuperissa, Rudy
Jurnal Teknologi Informasi dan Komunikasi Vol 19 No 1 (2026): April
Publisher : STMIK Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/jtik.v19i1.371

Abstract

This research is motivated by the continued use of manual attendance recording, which often leads to data inaccuracies, delayed reporting, and inefficient data management. The study focuses on how to design and develop a digital attendance system capable of accurately recording employee presence, displaying check-in and check-out times, and automatically generating attendance summaries. The objective of this research is to develop a digital attendance system that improves recording accuracy and simplifies attendance monitoring. The research method consists of requirement identification, system design, implementation, testing, and evaluation. The system is developed with features including user login, check-in and check-out recording, location tracking, attendance history, and automated monthly summaries. System testing is conducted to ensure proper functionality and usability. The results indicate that the system successfully records attendance data in a structured manner, provides time and location information, and automatically generates monthly reports. The novelty of this research lies in the integration of time tracking, location recording, and automated attendance reporting within a single system that enhances monitoring efficiency and effectiveness.
Co-Authors Albertoes Pramoekti Narendra Albertus Pramukti Narendra Denty Nugraheni Hendrik, Agustian Isabella Damayanti Karisma Yustikasari Kawalod, Jonathan Saul Krismiyati Leonardo, Kevin Manik, Dona Manopo, Saliani Dewintari Agrytia Matte, Karenina Cornelia Martines Meliana Meliana Oktiana, Ekal Pramukti Narendra, Abertus Prastya, Krisna Budi Radius Tanone Rendra Bagus Setiawan Sandy Aprilyanto Suak, Edwind Alex Suprihadi Tintien Koerniawati Vilanati G.B, Goreti Akna Zebua, Oggy Dwi Ziduhu