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All Journal TOFEDU: The Future of Education Journal Journal of Progressive Law and Legal Studies
Maharani, Syaputri
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Humanities Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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Indonesia's Violence against Children: The Challenges of Using the Best Interest Principle in Court Decisions Sholehudin, Miftahus; Maharani, Syaputri
Journal of Progressive Law and Legal Studies Том 3 № 01 (2025): Journal of Progressive Law and Legal Studies
Publisher : PT. Riset Press International

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59653/jplls.v3i01.1443

Abstract

Incest cases in Indonesia remain a concerning issue that demands serious attention from various stakeholders. This study is motivated by legal challenges regarding the protection of incest victims, particularly with the application of the best interest of the child principle. In practice, however, cases of violence against children are often not addressed with an approach that prioritizes the best interest of the child. This research focuses on analyzing Verdict No. 148/Pid.Sus/2023/PN.BLN aims to identify the extent to which judicial considerations in resolving this case have either disregarded or adhered to the best interest of the child principle. The research adopts a normative legal method involving analysis, observation, and examination of written legal materials. In normative legal research, the focus lies on applying existing laws as a guiding framework within societal life, determining what is considered appropriate. This study employs a case-based approach by analyzing primary and secondary legal materials, including legislation, court decisions, and relevant legal literature. Data were collected through a literature review and analyzed deductively to address the research questions. The findings indicate that in Verdict No. 148/Pid.Sus/2023/PN.BLN, the judges have not fully prioritized the best interest of the child principal. Although efforts were made to protect children who are victims of incest, several critical aspects were not adequately considered. This highlights the need to enhance judges' awareness and understanding of the importance of the best interest of the child principle in every decision involving victims of violence, particularly in cases of incest.
The Implementation of the K-Means Clustering Algorithm Based on the Severity Level of Diabetes in Patients Using a Website Platform Maharani, Syaputri; Wendra , Yumai; Melladia, Melladia; Rahim, Radiyan
The Future of Education Journal Vol 4 No 7 (2025): #2
Publisher : Lembaga Penerbitan dan Publikasi Ilmiah Yayasan Pendidikan Tumpuan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61445/tofedu.v4i7.933

Abstract

Diabetes mellitus is a chronic non-communicable disease with a steadily increasing prevalence worldwide, posing a significant public health challenge due to its potential for severe complications if not managed properly. In many healthcare facilities, including RSUD Pariaman, there is still no structured system to classify patients according to the severity of their condition, which hampers timely intervention and optimal resource allocation. This study aims to develop and implement a web-based system for clustering the severity levels of type 2 diabetes mellitus using the K-Means Clustering algorithm as a decision support tool for medical staff. A quantitative system development research design was applied, utilizing secondary medical records from January 2023 to December 2024, with five clinical variables: Hemoglobin A1c (HbA1c), Fasting Blood Glucose (GDP), Systolic Blood Pressure (TDS), Diastolic Blood Pressure (TDD), and Body Mass Index (BMI). The system was built using the CodeIgniter PHP framework, MySQL database, and Bootstrap-based interface, following the Knowledge Discovery in Database (KDD) process for data preprocessing. K-Means clustering was configured into three categories (mild, moderate, and severe). Validation using RapidMiner confirmed that the clustering results from the web-based system were consistent with the benchmark model, ensuring the correctness of the algorithm’s implementation. The developed system enables real-time data processing, displays results in both tabular and graphical forms, and provides an intuitive interface for medical personnel, thus supporting clinical decision-making and improving healthcare service quality.
Co-Authors Melladia, Melladia Miftahus Sholehudin Rahim, Radiyan Wendra , Yumai