Article Per Year (5 Year)
p-Index From 2021 - 2026
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All Journal POSITIF CESS (Journal of Computer Engineering, System and Science) SISFOTENIKA JOURNAL OF APPLIED INFORMATICS AND COMPUTING Angkasa: Jurnal Ilmiah Bidang Teknologi Compiler CSRID (Computer Science Research and Its Development Journal) Journal of Computer Networks, Architecture and High Performance Computing Jurnal Ilmiah IT CIDA : Diseminasi Teknologi Informasi
Dony Ariyus
Unknown Affiliation
Computer Science & IT Education

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Optimizing Email Spam Detection through Handling Class Imbalance with Class Weights and Hyperparameter Using GridSearchCV Nursyam, Muhammad Ridho; Koprawi, Muhammad; Ariyus, Dony
Journal of Applied Informatics and Computing Vol. 10 No. 1 (2026): February 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i1.12060

Abstract

Email spam is a major problem in digital communication that can disrupt productivity, burden network resources, and pose a security threat. This research focuses on optimizing spam email detection using a machine learning approach by addressing class imbalance through class weighting and hyperparameter tuning using GridSearchCV. To improve model accuracy and sensitivity, a combination of diverse datasets is applied to provide a wider scope of training data. The models used in this study include Support Vector Machine (SVM), Random Forest, Multinomial Naive Bayes (MNB), and XGBoost. Evaluation is carried out based on metrics such as accuracy, precision, recall, and F1-score, before and after hyperparameter tuning. The experimental results show that SVM produces the highest accuracy after tuning, reaching 97.10%, compared to 96.73% before hyperparameter tuning. In addition, Random Forest, MNB, and XGBoost also show significant improvements, with each model achieving better performance after tuning. Overall, this study shows that dataset merging and class weight adjustment can significantly improve the model's ability to detect spam, as well as provide a basis for implementing the model in a more effective email spam detection system.
Perencanaan Strategi Sistem Informasi untuk Peningkatan Layanan Administrasi Berbasis Ward and Peppard dan AHP Gusti, Intan Sari; Hendi Muhammad, Alva; Ariyus, Dony
POSITIF : Jurnal Sistem dan Teknologi Informasi Vol 12 No 1 (2026): Positif : Jurnal Sistem dan Teknologi Informasi
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/positif.v12i1.15533

Abstract

This study aims to formulate an information systems strategy to optimize an administrative service owned by LPK Techno Flash. The main problems that can be identified include minimal administrative operational efficiency due to unnecessary repetition in processes and data, minimal integration between systems, which results in service delays and decreased user satisfaction. This study utilizes a combined approach between the Ward & Peppard framework for gap analysis and strategy formulation, and the Analytic Hierarchy Process (AHP) method to determine strategy priorities. The Ward & Peppard analysis includes an evaluation of the internal and external environment, analysis of application documentation, and identification of business and information system strategy needs. The results of this study provide structured information system strategic recommendations, including information management strategies, application strategies, and technology strategies. The strategic priorities obtained from AHP will serve as the basis for LPK Techno Flash in planning and implementing integrated information system solutions, increasing effectiveness, and supporting improvements in overall service quality and user satisfaction.
Co-Authors Ahmad Rifki Harir Ashari, Wahid Miftahul Banu Santoso Deuis Nur Astrida Eka Yulia Sari Gusti, Intan Sari Hendi Muhammad, Alva I Wayan Pandu Swardiana Irma Darmayanti Julia Kurniasih Koprawi, Muhammad Muhammad Saifulloh Neno, Friden Elefri Nursyam, Muhammad Ridho Patmawati Hasan Profesi, Dwinda Etika Saputra Aji, Dian Tetik, Yulius Nahak Yuliana Yuliana Yunita, Selviana