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All Journal Jifosi International Journal Of Computer, Network Security and Information System (IJCONSIST)
Satria Vinza Hedi
Universitas Pembangunan Nasional Veteran Jawa Timur
Computer Science & IT

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Perbandingan Kualitas Bentuk Alphabet Rune Menggunakan Region Api Polygon Dan Non-Polygon Parlika Rizky; Satria Vinza Hedi; Syahrul Permana Putra; Arik Sunanul Huda Muhammad; Caeli Endyarni Regina; Shadina Arifin Rilla; Laurenta Dini Aprinda
Jurnal Informatika dan Sistem Informasi (JIFoSI) Vol. 6 No. 3: Advancing Digital Education and Intelligent Computing Applications
Publisher : UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/jifosi.v6i3.559

Abstract

Penelitian ini membandingkan kualitas visual Alphabet Rune yang dihasilkan menggunakan Region API Polygon dan Non-Polygon pada Visual Basic 6.0. Lima huruf Rune (Laguz, Mannaz, Tiwaz, Sowilo, Manaz) diimplementasikan dengan kedua metode dan dievaluasi melalui kuesioner terhadap 24 responden. Hasil menunjukkan metode Polygon secara signifikan lebih unggul dengan rata-rata skor 4.52 dibandingkan Non-Polygon (2.69) pada aspek kemiripan bentuk, kejelasan visual, dan kerapian grafis. Temuan ini mengonfirmasi bahwa Polygon lebih sesuai untuk karakter dengan geometri linier-angular seperti Alphabet Rune.
A Structured Approach to Organizational Website Development and Usability Measurement Using the Modified System Usability Scale Satria Vinza Hedi; Cintya Hedi Amelia Bella
IJCONSIST JOURNALS Vol 7 No 1 (2025): September
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v7i1.156

Abstract

The increasing demand for accessible and up-to-date digital identity has encouraged organizations to adopt websites as a primary information platform. However, limited technical resources often hinder effective content management. This study proposes a structured approach to developing an organizational website using the Waterfall model and evaluates its usability through the System Usability Scale (SUS). The development process consists of five stages: communication, planning, modelling, construction, and deployment. Requirements were collected through semi-structured interviews with organizational stakeholders, resulting in the decision to implement a web-based system using a Content Management System (CMS) to ensure ease of maintenance. After deployment, usability testing was conducted using Modified SUS with a Likert scale of 1–5, involving five respondents instead. The evaluation produced an average score of 4.6, indicating that the system is highly acceptable and easy to use, although suggestions were made to improve dashboard terminology and add a search feature. The results demonstrate that a structured web development approach combined with CMS integration can effectively empower non-technical users in managing digital content. Future development may include interface personalization and multi-admin features to further enhance usability.
Implementation of the Naive Bayes Method for Stunting Classification in Children Under Five Years Old (Balita). Ferdiansyah Sulthan Ahmad; Maulana Muhammad Farhan; Anwar Akmal Aliffandhi; Ulum Muhammad Rifki Bahrul; Diyasa I Gede Susrama; Satria Vinza Hedi
IJCONSIST JOURNALS Vol 6 No 2 (2025): March
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v6i2.157

Abstract

The issue of stunting in Indonesia has become a serious concern, drawing significant attention from the government. To address this problem, the government has set a target to reduce the stunting prevalence rate to 14% by 2024. As an initial step in supporting this goal, the present study aims to classify the nutritional status of children under five years old using the Naive Bayes method. The objective of this research is to evaluate the performance of the Naive Bayes algorithm in classifying the nutritional status of children under five, with a focus on body weight, height, and exclusive breastfeeding intake as predictors of stunting. The research process includes several stages, namely problem formulation, data collection, data preprocessing, data splitting, model construction, model training, model evaluation, and result analysis. The findings of this study indicate that the Naive Bayes method achieved an accuracy of 70% in classifying stunting among children under the age of five, with an F1-score evaluation of 70%.
Co-Authors Anwar Akmal Aliffandhi Arik Sunanul Huda Muhammad Caeli Endyarni Regina Cintya Hedi Amelia Bella Diyasa I Gede Susrama Ferdiansyah Sulthan Ahmad Laurenta Dini Aprinda Maulana Muhammad Farhan Parlika Rizky Shadina Arifin Rilla Syahrul Permana Putra Ulum Muhammad Rifki Bahrul