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All Journal Jurnal Simetris Prosiding SNATIF Jurnal Teknologi Informasi dan Pendidikan Jurnal Sistem Komputer dan Informatika (JSON) SELODANG MAYANG Jurnal Teknik Informatika Jurnal Sistem Informasi Triguna Dharma (JURSI TGD)
Yudie Irawan
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Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Nursing Public Health Transportation Other

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Web-Based Academic Information and Monitoring System at Kudus State Madrasah Ibtidaiyah Putri, Sevara Humaira; Rhoedy Setiawan; Yudie Irawan
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 7 No. 1 (2025): September 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v7i1.9070

Abstract

This research is based on the needs of Madrasah Ibtidaiyah Negeri Kudus to improve communication and academic management in the digital age. The main issues raised are suboptimal grade recording systems, absenteeism, and the rapid and structured dissemination of important information. The objective of this research is to create and develop a web-based academic information system that can be monitored via WhatsApp. This system will enable teachers, parents, and school administrators to easily access information. The Waterfall software development model, which consists of the stages of needs analysis, design, implementation, testing, and maintenance, is the methodology used in this research. Data was collected through interviews and direct observation of academic activities on the school campus. This system enables the recording of student grades and attendance data on a daily basis. It also allows parents to receive automatic notifications about learning activities, class schedules, and other important information. This research resulted in a web-based application that has the ability to improve academic recording and reporting, enhance communication between schools and parents, and support real-time transparency of academic information. By using this system, the State Elementary School in Kudus is expected to be better prepared to face the digital transformation occurring in the world of education.
Sentiment Analysis of Free Nutritious Meal Programs Using Naïve Bayes on Platforms X and TikTok Fadila Ullul Azmie; Yudie Irawan; R.Rhoedy Setiawan
Jurnal Teknologi Informasi dan Pendidikan Vol. 19 No. 1 (2026): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v19i1.1112

Abstract

This study analyzes public sentiment toward the Free Nutritious Meal Program (MBG) using the Multinomial Naive Bayes algorithm on data from X (Twitter) and TikTok. A total of 5,173 entries were collected through web scraping and processed with cleaning, normalization, tokenization, stopword removal, and stemming. To address class imbalance, SMOTE was applied, and evaluation employed accuracy, precision, recall, F1-score, and AUC-ROC. Results show that without SMOTE, the model tended to be biased toward the majority class, especially on TikTok, while after SMOTE recall increased significantly and a better balance between precision and recall was achieved. On Twitter, performance was more stable with a moderate class distribution, and SMOTE further improved sensitivity to positive sentiment. Word cloud analysis revealed differences across platforms: TikTok leaned more toward negative sentiment with dominant words such as “racun,” “korupsi,” and “dapur,” while Twitter showed a stronger balance with positive terms like “gizi,” “gratis,” and “program.” These findings highlight the importance of cross-platform analysis to comprehensively understand public perceptions.
Co-Authors Abdul Latief, Muhammad Amrullah Ulinuha Amrullah Ulinuha Arif Setiawan Diana Laily Fithri Fadila Ullul Azmie Fajar Nugraha Mohammad Rosul Oktafiyani, Feby Pramana, Doni Putri, Sevara Humaira R Rhoedy Setiawan R.Rhoedy Setiawan Ro'uf, Slamet Sandi Ashriel Nugraha Syafira Salsabila