JSIKTI : Jurnal Sistem Informasi dan Komputer Terapan Indonesia

Interactive Learning Media on Key Figures of Indonesian Independence Proclamation

Aniek Suryanti Kusuma — 2025-06-04

Education is a vital necessity in people's lives. One of the media that can be used is Interactive Learning Media, which can present material in visual form, as well as simulate material that is difficult to convey verbally. The author plans to provide material on Introduction to Key Figures Involved in the Proclamation of Independence, which is expected to facilitate students’ learning process. The research location is Jagapati Village, Abiansemal District, Badung Regency, Bali. The data collection methods used include interviews, observation, documentation, and literature review. The testing process involved both alpha and beta testing. The number of respondents was 32 people, consisting of 28 fifth-grade students, 2 subject matter experts in Social Studies for fifth grade at SD N 1 Jagapati, and 2 media experts. The results showed that the interactive learning media had a positive impact, with an evaluation score of 86% from teachers, indicating that the media is beneficial for teaching. The student evaluation score was 89.996%, showing a positive effect on student learning, while an evaluation score of 78% from university lecturers indicated that the media is suitable for use. It can therefore be concluded that Interactive Learning Media is highly practical for use by both students and teachers in the Social Studies learning process.

Support Vector Machine for Classifying Prostate Cancer Data

Muslimin B — 2025-06-04

Prostate cancer is one of the most prevalent cancers among men worldwide, making early detection and accurate classification essential for improving patient outcomes. This study investigates the application of Support Vector Machine (SVM) models for classifying prostate cancer using clinical and demographic data. Features such as prostate-specific antigen (PSA) levels, Gleason scores, tumor stage, and patient age were utilized to train and evaluate the model. Comprehensive preprocessing techniques, including handling missing values, feature normalization, and addressing class imbalance with the Synthetic Minority Oversampling Technique (SMOTE), were employed to ensure robust model performance. The SVM model, optimized with a radial basis function (RBF) kernel, achieved an accuracy of 94.2%, with precision, recall, and F1-scores indicating reliable classification of both cancerous and non-cancerous cases. However, the results highlight challenges with the minority class, emphasizing the need for better handling of imbalanced datasets. Explainability techniques such as SHAP (Shapley Additive Explanations) were integrated to provide interpretable insights into the model’s predictions, with PSA levels and Gleason scores identified as the most influential features. This research demonstrates the potential of SVM in prostate cancer classification, providing a foundation for integrating machine learning models into clinical workflows for improved diagnostic precision and patient care.

Implementation of Web-Based Counseling System at SMK Negeri 1 Sukawati

Welda Welda — 2025-06-04

State Vocational High School (SMK) Negeri 1 Sukawati, located in Gianyar Regency and renowned for its excellence in the field of visual arts, had a total of 533 students in the 2023/2024 academic year. As part of its efforts to enhance the quality of education, the school has implemented a Guidance and Counseling (BK) program aimed at helping students develop self-awareness, improve self-confidence, and behave in accordance with school regulations. One of the key components of this program is the student violation recording system. Currently, the process of recording violations is carried out manually using BK logbooks and Microsoft Excel, which is time-consuming and requires a high level of accuracy. This becomes a significant challenge considering the large number of students and the variety of infractions that need to be documented.

This study aims to design and implement a web-based guidance and counseling information system to facilitate a more efficient and accurate method of recording student violations. By utilizing a web-based system, the recording process can be automated, data retrieval becomes easier, and student or parental summons can be generated automatically once certain violation thresholds are reached. The focus of this research is the development of a system that enables guidance counselors to report student violations more easily, contributing to improved student discipline. The implementation of this system is expected to enhance the efficiency of violation data management and support the school’s efforts in fostering better student discipline.