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All Journal Syntax Literate: Jurnal Ilmiah Indonesia Techno Nusa Mandiri : Journal of Computing and Information Technology Jurnal Tekno Kompak Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Abdimas Ilmiah Citra Bakti (JAICB) ABSYARA: Jurnal Pengabdian Pada Masyarakat Indonesian Collaboration Journal of Community Services (ICJCS) Jurnal Pengabdian Masyarakat CSRID DIPANEGARA KOMPUTER TEKNOLOGI INFORMATIKA (DIPAKOMTI)
Sunardi Sunardi
Universitas Dipa Makassar, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Physics Social Sciences Other

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Implementasi Algoritma Apriori Pada Aplikasi Penjualan Buah Berbasis Web Indra Irawan; Sunardi; Sitti Harlina
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 1 (2025): JANUARI-MARET 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i1.2971

Abstract

This research aims to implement the Apriori algorithm in a web-based fruit sales application to discover consumer purchasing patterns and provide appropriate product recommendations. The dataset used consists of 10 fruit sales transactions. The fruit sales transaction data is then analyzed using the Apriori algorithm to identify frequently purchased product combinations. The analysis results are then used to provide accurate product recommendations to customers. Implementation is carried out by calculating the support, confidence, and lift ratio values for each product combination based on transaction data. Association rules with a support value of 30% and confidence of 60% found sweet fragrant mango, murcot australian orange, and fuji88 apple, which are then used to provide recommendations to relevant customers. This research aims to improve product recommendation accuracy, customer satisfaction, and overall sales efficiency in the fruit sales industry.
OPTIMIZING TOMATO STORAGE-TIME USING SUPPORT VECTOR MACHINE ALGORITHM TO IMPROVE QUALITY AND REDUCE WASTE Rahmat; Sunardi; Fitriani; Andi Saenong; Muhammad Rusdi Rahman; Herman Heriadi; Hernawati
Jurnal Techno Nusa Mandiri Vol. 23 No. 1 (2026): Techno Nusa Mandiri : Journal of Computing and Information Technology Period o
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/6kt3mn85

Abstract

Tomatoes are an agricultural commodity that is susceptible to spoilage, with a limited shelf life if not stored under optimal conditions. Optimizing tomato storage time is very important for improving product quality and reducing waste in distribution. This study aims to implement the Support Vector Machine (SVM) algorithm in predicting the optimal storage time for tomatoes, taking into account environmental factors such as temperature and humidity, as well as tomato ripeness. The dataset used consists of tomato images taken at various ripeness levels, as well as environmental data during storage. The SVM model was trained to classify tomato ripeness conditions and predict the optimal storage duration before significant quality deterioration occurs. The results of the study show that the SVM model has high accuracy in classifying tomato ripeness and can be used to predict the optimal storage time, which in turn can extend the shelf life of tomatoes and reduce crop waste. This research contributes to more efficient and sustainable tomato post-harvest management.
Pengembangan Profesionalisme Guru Yayasan Ashabul Kahfi Parepare melalui Pelatihan ChatGPT dan Google Drive di Era Digital Andi Saenong; Arham Arifin; Fitriani Fitriani; Husain T; Imran Djafar; Mochammad Agus Idris; Muh. Khaddafi; Rahmat Rahmat; Santi Santi; Sunardi Sunardi; Suci Ramadhani Arifin
Jurnal Pengabdian Masyarakat Vol. 5 No. 1 (2026): Juni 2026
Publisher : Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/japamas.v5i1.329

Abstract

Kegiatan pengabdian masyarakat ini mengatasi tantangan kompetensi digital guru di Yayasan Ashabul Kahfi, Parepare. Berdasarkan observasi awal, sebagian besar guru belum pernah menggunakan teknologi AI dalam pembelajaran dan belum familiar dengan pengelolaan dokumen berbasis cloud. Kegiatan menggunakan pendekatan partisipatif dengan tiga sesi pelatihan: dasar-dasar ChatGPT, pengelolaan Google Drive, dan integrasi keduanya dalam persiapan pembelajaran. Efektivitas diukur melalui instrumen pre-test dan post-test yang mencakup aspek pemahaman konsep dan keterampilan praktis, dengan indikator keberhasilan minimal 75% peserta mengalami peningkatan skor. Program melibatkan 20 guru dan mencapai tingkat keberhasilan 85% (17 dari 20 guru), dengan skor rata-rata meningkat dari 42 menjadi 87 poin. Pelatihan menghasilkan peningkatan kepercayaan diri guru, pembentukan komunitas belajar digital, dan efisiensi persiapan materi ajar secara terukur sebagai bagian dari pengembangan profesional berkelanjutan di era pendidikan digital.
Co-Authors Akbar Bahtiar Andi Asvin Mahersatillah Suradi Andi Saenong Arham Arifin Arwansyah Asrul Syam Baharuddin Baharuddin Clara Falisha Suardi Cucut Susanto Cucut Susanto Djafar, Imran Erfan Hasmin Faizal Faizal Fitriani Fitriani Fitriani Harlina, Sitti Hasyrif SY Heriadi Heriadi Herman Heriadi Hernawati Husain Husain Indra Irawan Joseph Tumiwa Madyana Patasik Magfirah Magfirah Marsa Marsa Mochammad Agus Idris Muh. Khaddafi Muhammad Abdul Jabbar Muhammad Fiqar Ramadhan Muhammad Furqan Rasyid Muhammad Nurramadhan Muhammad Rusdi Rahman Naldi Ahmad Nur Patty Nasaruddin Nasaruddin Novita Sambo Layuk Nurdiansah Nurul Aini Rahmat Rahmat Rahmat Rahmatina Rahman Rensa Kendek Sadly Syamsuddin Samsie, Indra Santi Santi Sitti Aisa SRI WAHYUNINGSIH PIU Suci Ramadhani Arifin Taufik Zulhaq Jasman Usman Vivi La Arhama Sangadji Wenni Sonya Astrina Wilem Musu