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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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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.
Implementasi Internet of Things (IoT) pada Sistem Pemantauan Kelembapan Udara di Perpustakaan UBSI Rian Septian Anwar; Nani Agustina; Novita Indriyani
Journal of Students‘ Research in Computer Science Vol. 6 No. 2 (2025): November 2025
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/3c074h77

Abstract

Libraries, particularly academic libraries like those at UBSI, store valuable collections of books, manuscripts, and digital archives. The preservation of these physical assets is constantly threatened by environmental factors, primarily fluctuating temperature and humidity. Uncontrolled high humidity accelerates the growth of mold and mildew, leading to irreversible damage to paper-based materials. Manual monitoring systems are often inefficient, costly, and susceptible to human error. This research aimed to develop and implement a real-time, Internet of Things (IoT)-based air humidity monitoring system to ensure optimal environmental conditions for collection preservation in the UBSI Library. The system utilizes the NodeMCU ESP8266 microcontroller and the SHT30 sensor, chosen for its high accuracy and stability, to continuously collect humidity data. This data is transmitted via Wi-Fi to a Firebase real-time database and visualized on a dynamic web dashboard. The prototype was tested for accuracy and reliability, showing minimal deviation (less than 3%) compared to commercial hygrometers. The results confirm that the IoT system successfully provides remote, continuous, and highly accurate monitoring, enabling prompt intervention by library staff when humidity levels exceed the safe threshold (50%–60%). This innovative approach significantly enhances collection preservation efficiency and reduces potential conservation costs. The system built not only successfully collects data, but also processes it into easily understood information, thus fulfilling the initial objective of overcoming the inefficiency of manual monitoring.
Co-Authors Abimanyu, Ridwan Ahmad Fauzi Ahmad Fauzi Andika Bayu Hasta Yanto Andika Bayu Hasta Yanto Apriliantoni, Apriliantoni Apriliantoni, Rasyad Fiqry Caturitama Bernadhed, Bernadhed Chamariyah Chamariyah Darusyifa F, Muhamad Dea Ayu Prananda Fani Fitra Fauzi Ahmad Muda Haikal Restu Dirgantara Henny Destiana Heru Satria Tambunan Indarti Kharisma fajarwati Kurniawati Mulyanti Marlina Marlina Muhamad Ripqi Nanda Iramatul Izza, RA 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 Yunianto, Irdha Zulia Almaida Siregar