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All Journal Prosiding Semnastek Paradigma Techno Nusa Mandiri : Journal of Computing and Information Technology Pendas : Jurnah Ilmiah Pendidikan Dasar JURNAL TEKNOLOGI DAN OPEN SOURCE Jurnal Teknologi Informatika dan Komputer Journal of Students‘ Research in Computer Science (JSRCS) IMTechno: Journal of Industrial Management and Technology Jurnal Administrasi Kantor Jurnal Teknik Informatika dan Elektro (JURTIE) Jurnal Riset Rumpun Ilmu Teknik (JURRITEK) Inisiatif: Jurnal Ekonomi, Akuntansi Dan Manajemen Neraca Manajemen, Akuntansi, dan Ekonomi Intechno Journal : Information Technology Journal
Novita Indriyani
Universitas Bina Sarana Informatika
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Social Sciences Other

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Implementation of Data Mining of Organic Vegetable Sales With Apriori Algorithm Fauzi, Ahmad; Yanto, Andika Bayu Hasta; Indriyani, Novita
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 6 No. 1 (2023): Jurnal Teknologi dan Open Source, June 2023
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v6i1.3049

Abstract

In the modern organic vegetable sector, the author observes that there is very tight business competition. Therefore, an effective approach is essential to attract buyers, although restricted sources of new information are one of the hurdles in establishing this business.Association rules are expressed with numerous features that are commonly referred to as (affinity analysis) or (market basket analysis. It was discovered that if consumers buy curly red chilies, they are also inclined to buy cayenne pepper with a 100% confidence level. Likewise, if people buy kale and red curly chiles, they are more likely to buy cayenne pepper with a 100% confidence level. This also applies if consumers buy tomatoes and curly red chilies with a 100% confidence level. In addition, other associations were also observed, such as if consumers buy curly red chilies, they prefer to buy tomatoes with a confidence level of 86%, or if they buy tomatoes and bird's eye chilies, they tend to buy curly red chiles with an 86% confidence level.Likewise, if people buy both cayenne pepper and red curly chili, they are more likely to buy tomatoes with an 86% confidence level. Finally, if customers buy kale and cayenne pepper, they are also likely to buy red curly chilies at an 83% confidence level. Based on the data acquired from this study, it is intended to obtain information about combinations of organic veggies that consumers typically buy together in each transaction, with the intention of improving organic vegetable yields and devising appropriate sales tactics.
A Decision-Making Model for Kindergarten School Selection Using the AHP Method: A Case Study of West Bekasi Indriyani, Novita; Fauzi, Ahmad; Hasta Yanto, Andika Bayu
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 8 No. 2 (2025): Jurnal Teknologi dan Open Source, December 2025
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v8i2.5096

Abstract

Choosing a Kindergarten (TK) is an important decision for parents because it involves many aspects such as the quality of educators, curriculum, facilities, costs, and environmental safety. However, the complexity of these criteria often creates uncertainty in making objective decisions. This study applies the Analytical Hierarchy Process (AHP) method to help provide recommendations for selecting the best kindergarten in the West Bekasi area. The hierarchical structure is built with six main criteria assessed by respondents through pairwise comparisons using Expert Choice. The synthesis results show that Kindergarten C received the highest weight of 0.433, followed by other alternatives, thus being determined as the best choice based on the criteria used. A Consistency Ratio (CR) value of 0.1 indicates that respondents' assessments are within the consistent limit (CR ≤ 0.1). Thus, the AHP model is proven to be able to measure priorities in a structured manner and help parents in making decisions about choosing a kindergarten more objectively and rationally.
Pengembangan Aplikasi Cerdas Berbasis AI untuk Analisis Tren Penjualan Produk Fashion Lokal Menggunakan Algoritma Data Mining Yunianto, Irdha; Wahyudi, Wiwid; Indriyani, Novita; Darusyifa F, Muhamad
Jurnal Teknik Informatika dan Elektro Vol 8 No 1 (2026): Jurnal Teknik Elektro dan Informatika
Publisher : Universitas Gajah Putih

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55542/jurtie.v8i1.1644

Abstract

This study develops an AI-driven application for analyzing sales of local fashion products and mapping customer heterogeneity to support marketing decision-making for micro, small, and medium enterprises (MSMEs). A mixed-methods approach is employed, combining a structured literature review, surveys/interviews, and Focus Group Discussions (FGDs) to validate findings and system usability. Quantitatively, first-quarter 2025 transaction data (100 respondents) are analyzed using K-Means on three standardized features age, aggregated number of items purchased, and aggregated spending. Cluster evaluation with the silhouette score for k=2-5 indicates the best separation at k=5, yielding a stable and interpretable segmentation. The resulting profiles reveal at least one high-value segment (larger baskets and higher spending) suitable for tiered loyalty programs and premium bundling; a mid-value segment responsive to targeted cross-sell/upsell offers; and a low-intensity segment that benefits from staged onboarding interventions to improve retention. These insights are integrated into a prototype analytics application that presents a segmentation dashboard and key performance indicators, providing actionable support for MSMEs’ marketing, catalog curation, and inventory allocation.
Co-Authors Abimanyu, Ridwan Ahmad Fauzi Ahmad Fauzi Andika Bayu Hasta Yanto Andika Bayu Hasta Yanto Apriliantoni, Apriliantoni Apriliantoni, Rasyad Fiqry Caturitama Bayu Hasta Yanto, Andika Bernadhed, Bernadhed Chamariyah Chamariyah Darusyifa F, Muhamad Dea Ayu Prananda Fani Fitra Fauzi Ahmad Muda Haikal Restu Dirgantara Hasta Yanto, Andika Bayu Henny Destiana Heru Satria Tambunan Indarti Kharisma fajarwati Kurniawati Mulyanti Marlina Marlina Muhamad Ripqi Nanda Iramatul Izza, RA Nani Agustina - AMIK BSI Jakarta, Nani Agustina Noor Shodiq Askandar Rachmat Suryadithia Rian Septian Anwar Ridwan Abimanyu Rizki Wahyu Yunian Putra Sandra Jamu Kuryanti Shabrina Nailussaadah Siska Andriani Slamet Heri Winarno Suryadithia, Rachmat Wahyudi, Wiwid Wina Yusnaeni Yanto, Andika Bayu Hasta Yanto, Andika Bayu Hasta Yanto Yunianto, Irdha Zulia Almaida Siregar