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All Journal Jurnal Informatika Abdimas Polsaka
Bobby Fernando
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Computer Science & IT Health Professions Medicine & Pharmacology Nursing Public Health

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THE IMPLEMENTATION OF ASSOCIATION RULES IN ANALYZING THE SALES OF AMIGO GROUP Bobby Fernando; Budi Susanto
Jurnal Informatika Vol 7, No 1 (2011): Jurnal Informatika
Publisher : Universitas Kristen Duta Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (358.869 KB) | DOI: 10.21460/inf.2011.71.95

Abstract

A retail company usually produce large sales transactions data. These data can be utilized with the application of data mining, which is also known as knowledge data discovery. Association rules is one of the most famous data mining study that can be used to generate items that frequently purchased together in sales transactions. This project is a web-based data mining project for a company called Amigo Group. The algorithm used for association rules implementation is called FP-Growth algorithm. This algorithm will form a data structure called FP-Tree and extract the rules based on its FP-Tree. The result of this application will be used to help Amigo Group’s managers understand about customers buying behavior and analyze pattern of items which are usually purchased together. Then, the manager can create marketing strategies in order to increase sales of the items. Key Words: Data Mining, FP-Growth, FP-Tree.
Health Education to Improve the Knowledge and Attitudes of Type 2 Diabetes Mellitus Patients Anggy Utama Putri; Dela Citra Nabela; Bella Alinggawati; Putri Handayani; Dian Ayu Pratiwi; Sintia Wati; Bobby Fernando; Bias Sandi Permadi; Novita Sari; Eva Dwi Yanti; Rofif Frari Agrahi
Abdimas Polsaka Vol. 5 No. 1 (2026): Abdimas Polsaka: Jurnal Pengabdian Masyarakat
Publisher : LPPM Politeknik Sandi Karsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35816/abdimaspolsaka.v5i1.198

Abstract

Type 2 Diabetes Mellitus (T2DM) is a major non-communicable disease that continues to increase globally and poses significant challenges to public health, particularly in developing countries. One of the main obstacles in T2DM management is inadequate patient knowledge and suboptimal attitudes toward disease control and self-care. This community service program aimed to improve the knowledge and attitudes of patients with T2DM through a structured health education intervention combined with physical activity promotion. The program was implemented using a pre-test and post-test design involving patients with T2DM at a primary healthcare clinic. Educational activities included interactive lectures, discussions, visual media, and guidance on simple and safe physical exercises appropriate for participants’ conditions. Patient knowledge and attitudes were assessed before and after the intervention using structured questionnaires. The results demonstrated a significant improvement in patients’ knowledge, with the mean score increasing from 11.5 in the pre-test to 15.9 in the post-test (p = 0.000). In addition, most participants showed positive attitudes toward healthy lifestyle behaviors related to diabetes management. These findings indicate that health education combined with physical activity promotion is effective in enhancing patients’ understanding and supporting positive attitudes toward self-management of T2DM. Integrating regular and structured educational programs into primary healthcare services is recommended to improve long-term diabetes management and prevent complications
Co-Authors Anggy Utama Putri Bella Alinggawati Bias Sandi Permadi Budi Susanto Dela Citra Nabela Dian Ayu PRATIWI Eva Dwi Yanti Novita Sari PUTRI HANDAYANI Rofif Frari Agrahi Sintia Wati