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All Journal PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic JURNAL MEDIA INFORMATIKA BUDIDARMA Technomedia Journal To Maega: Jurnal Pengabdian Masyarakat Jurnal Kajian Ilmiah Jurnal ABDIMAS (Pengabdian kepada Masyarakat) UBJ Jurnal Manajemen Informatika Jayakarta Journal of Students‘ Research in Computer Science (JSRCS) Journal of Innovation Research and Knowledge Jurnal Dharmabakti Nagri Journal of Computer Science Contributions (Jucosco) Jurnal Kecerdasan Buatan dan Teknologi Informasi Management of Information System Journal Siber International Journal of Digital Business Journal of Informatics and Information Security Greenation International Journal of Engineering Science ALMUISY: Journal of Al Muslim Information System
Kustanto , Prio
Fakultas Ilmu Komputer; Universitas Bhayangkara Jakarta Raya
Aerospace Engineering Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

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Perancangan Platform Internet of Things sebagai Sistem Komunikasi Dua Arah untuk Pemantauan pH Air Joniwarta; Prio Kustanto; Ridwan
Journal of Informatic and Information Security Vol. 6 No. 2 (2025): Desember 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/x78gac94

Abstract

Water quality monitoring is a critical component in ensuring environmental sustainability and public health. The degree of acidity (pH) is one of the key parameters used to assess water quality, as it directly affects the suitability of water for domestic and industrial applications. Conventional water pH measurement systems are typically local and rely on manual data recording, resulting in limited data accessibility, susceptibility to human error, and the absence of structured historical records. This study presents the design of an Internet of Things (IoT) platform as a two-way communication system between water pH sensing hardware and a cloud-based digital platform. The proposed system consists of a pH sensor, a network-enabled microcontroller, a cloud platform for centralized data management, and a web-based dashboard as the user interface. Two-way communication enables the system not only to transmit real-time measurement data but also to receive configuration commands from users. Experimental results indicate that the proposed IoT platform improves the efficiency of water pH monitoring, reduces reliance on manual data recording, and provides structured historical data to support long-term analysis.  
Implementasi Forward Chaining pada Sistem Pakar Diagnosa Kerusakan Laptop Berbasis Web: Studi Kasus Layanan Servis Laptop Dimas Permadi; Dwipa Handayani; Prio Kustanto; Muhammad Yasir; Achmad Noeman; Agus Hidayat
Journal of Informatic and Information Security Vol. 6 No. 2 (2025): Desember 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/paw2f574

Abstract

Laptop damage diagnosis at PT Tsurtech Solution is currently carried out manually, which can take more time and requires the technician's experience to identify problems accurately. This research aims to design and implement a web-based expert system to assist in diagnosing laptop damage based on symptoms inputted by users. The system is developed using the Forward Chaining algorithm, a data-driven reasoning method that matches facts (symptoms) with a set of predefined rules to conclude the type of damage. The system is built using the Waterfall development method, assisted by UML diagrams, and implemented with PHP programming language and MySQL database. Blackbox Testing is used to evaluate the system’s functionality. The results show that the system can be used as a supporting tool to help both users and technicians perform initial laptop damage diagnosis more quickly and efficiently.    
Peningkatan Kemampuan Gross Motor Skill Terhadap Anak-Anak di Kecamatan Muara Gembong Kabupaten Bekasi Dengan Menggunakan Media GECE (Gerak Cepat) Juli Candra; Ery Teguh Prasetyo; Gede Aditya Pratama; Prio Kustanto; Eskar Tri Denatara; Jantarda Mauli Hutagalung; Gustinus Putera Tin; Rezal Wijaya; Dewi Sinta; Adi Yoga Suryana
Jurnal Kajian Ilmiah Vol. 21 No. 4 (2021): Special Issue (December 2021)
Publisher : Lembaga Penelitian, Pengabdian Kepada Masyarakat dan Publikasi (LPPMP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/952m8r67

Abstract

The gross motor skills of children in Muara Gembong sub-district, Bekasi district, are not in accordance with growth and development because the educational learning process due to the impact of Covid 19 is carried out online, so that it has an impact on decreasing Gross Motor Skills and decreasing students' physical fitness. The purpose of community service activities is to improve gross motor skills by using GeCe (Fast Motion) media, a tool used to measure speed, agility, flexibility. The method used is the lecture method for tool socialization activities, training on the use of tools, and mentoring. The results of the activity show that the application of the GeCe tool is able to improve the Gross Motor Skill of children in the Muara Gembong area. In conclusion, community service activities have a positive impact on the community in Muara Gembong District, especially helping in developing and improving Gross Motor Skills. The limitation in this activity is the relatively short time so that the objectives of the activity cannot be optimally achieved. Suggestions For the implementation of community service in the future it can be carried out in a better and sustainable manner because in the Muara gembong area there are still a lot of activities that need to be carried out in developing community activities in increasing human resources man.
Decision Support System Evaluasi Tingkat Keberhasilan UMKM Menggunakan Weighted Scoring Method Prio Kustanto; Mochammad Darip; Sigit Auliana
Management of Information System Journal Vol 4 No 3: Juli 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/mis.v4i3.3099

Abstract

Micro, Small, and Medium Enterprises (MSMEs) play a crucial role in driving regional economic growth, yet most business owners still face challenges in objectively evaluating their business conditions. The assessment process, which relies heavily on experience and intuition, often results in business decisions not being supported by measurable information. This study aims to develop a web-based Decision Support System (DSS) to evaluate the success rate of MSMEs using the Weighted Scoring Method. The study employed a Research and Development (R&D) approach, encompassing needs analysis, system design, method implementation, and application testing. The evaluation process involved six key indicators, weighted according to their importance, then calculated to produce a final score, classified into three success levels: high, medium, and low. The results showed that the system was able to automate the evaluation process, consistently display success rate classifications, and generate reports in PDF format to document the assessment results. Testing using real MSME data demonstrated that the system's calculations were consistent with manual calculations based on the applied method. The developed system is expected to assist MSMEs in conducting more systematic business evaluations and support local governments in the development and data-driven decision-making process.
Application of K-Means Clustering Algorithm in Edam Burger Sales Information System for Inventory Control Optimization Muhammad Rofiq Ubaidillah; R Wisnu Prio Pamungkas; Prio Kustanto
Jurnal Kecerdasan Buatan dan Teknologi Informasi Vol. 5 No. 3 (2026): September 2026 In progress.
Publisher : Ninety Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69916/jkbti.v5i3.565

Abstract

Manual sales and inventory management in small culinary enterprises often leads to data inaccuracies, stock mismanagement, and underutilized transactional data. This study aims to design a web-based sales information system integrated with the K-Means clustering algorithm to optimize inventory control at Edam Burger & Frozen Foods. Utilizing the Waterfall methodology, the system was developed using the Laravel framework and MySQL. The analytical engine processed five months of transactional data across fifteen products, applying Min-Max Normalization to equalize the scales of sales volume, revenue, and transaction frequency. The K-Means algorithm successfully segmented the product catalog into three distinct categories based on performance: one high-selling core product (6.7%), three medium-selling secondary items (20%), and eleven low-selling complementary products (73.3%). Black Box Testing confirmed a 100% functional success rate across all system modules. The primary novelty of this research lies in seamlessly embedding the K-Means engine directly into the operational dashboard, overcoming the common barrier of offline, standalone data mining. This integration enables real-time, data-driven procurement strategies, providing actionable recommendations: prioritizing continuous stock availability for high-demand items, scheduling regular restocking for medium items, and minimizing capital tied up in low-moving inventory to reduce food waste. Ultimately, this integrated approach empowers small business owners to transition from intuition-based management to systematic, algorithm-driven inventory optimization. This study successfully bridges the gap between routine transactions and strategic analytics.
Cosmetic Product Segmentation Analysis Using K-Means Clustering at PT Mandom Bekasi Mona Dewintha Agustine; Adi Muhajirin; Prio Kustanto
Jurnal Kecerdasan Buatan dan Teknologi Informasi Vol. 5 No. 3 (2026): September 2026 In progress.
Publisher : Ninety Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69916/jkbti.v5i3.578

Abstract

PT Mandom Indonesia Tbk manages a wide range of cosmetic products with varying sales levels and inventory turnover rates, creating challenges in inventory management and marketing strategy formulation. This study aims to segment cosmetic products based on sales patterns and inventory turnover using the K-Means Clustering algorithm within a Knowledge Discovery in Databases (KDD) framework. The research stages include data selection, preprocessing, transformation, clustering, and evaluation. The dataset consists of 436 cosmetic products with attributes including sell in, sell out, stock, and expiration date, sourced from PT Mandom's internal sales report for the year 2025. Feature engineering produced two derived variables, the sell out to sell in ratio and the remaining days until expiration, which were normalized using Min-Max Scaling. The optimal number of clusters, determined using the Elbow Method and validated with the Silhouette Score, was three. The K-Means algorithm successfully grouped the products into three segments: Fast Moving (75 products, 17.2%), Medium Moving (299 products, 68.6%), and Slow Moving (62 products, 14.2%). The Fast Moving cluster exhibited the highest sell in, sell out, and sell-through ratio values, while the Slow Moving cluster showed the lowest ratio, indicating a higher risk of stock accumulation. These segmentation results can serve as a data-driven basis for inventory management, distribution planning, and marketing strategy decisions at PT Mandom.
Co-Authors Abrar Hiswara Achmad H., Andy Achmad Noe'man Achmad Noe'man Achmad Noeman Achmad Noeman Adi Muhajirin Adi Yoga Suryana Agus Hidayat Ahmad Fathurrozi Ahmad Fathurrozi ahmad habibi Andry Fadjriya Andy Achmad Hendharsetiawan Anisa Feby Yana Arizky Kurniawan, Wisnu Atsal Adriansyah Auliana, Sigit Aziz, Fawwaz Beno Aditya Sanusi Denatara, eskar Tri Dewi Sinta Dharma, Satria Ario Dian Hartanti Dian Hartanti Dimas Permadi Dwipa Handayani Ervan Dwi Kurniawan Ery Teguh Prasetyo Ery Teguh Prasetyo Eskar T Denantara Fadjriya, Andry Fathurrozi, Ahmad Gede Aditya Pratama Gustinus Putera Tin Hafizah Hafizah Halimil Fathi Hariyanto Harviansyah, Muhammad Hendarman Lubis Herlawati Herlawati I Gede Aditya Pratama Jantarda Mauli Hutagalung Joniwarta Juli Candra Juli Candra Kurniawan, Ervan Dwi Lubis, Hendarman Mayadi Mayadi Mayadi Mochammad Darip Mona Dewintha Agustine Muhammad Anas Kusuma Amir Muhammad Harviansyah Muhammad Iqbal Iffahuddin Muhammad Rizki Syaumi Muhammad Rofiq Ubaidillah Muhammad Yasir Nadhif Yogaswara Noeman, Achmad Noe’man, Achmad Nurfiyah Pamungkas, R Wisnu Prio Prayitno, M. Hadi Priatna , Wowon Prio Pamungkas, R Wisnu Prio Pamungkas, R. Wisnu Purnomo, Rakhmat Purnomo, Rakhmat R Wisnu Prio Pamungkas R. Wisnu P. Pamungkas Rahman Fauzi, Denny Rakhmadi Rahman Rakhmi Khalida Ramadhan Bram Khalil Rezal Wijaya Ridwan Ridwan Ridwan Ridwan, Ridwan Sanusi, Beno Aditya Shifa Anamika Siti Setiawati Yana, Anisa Feby