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Jurnal Kecerdasan Buatan dan Teknologi Informasi
Published by CV. Ninety Media Publisher
ISSN : 29636191     EISSN : 29642922     DOI : https://doi.org/10.69916
Core Subject : Science,
Computer Science & IT
Jurnal Kecerdasan Buatan dan Teknologi Informasi or abbreviated JKBTI is a national journal published by the Ninety Media Publisher since 2022 with E-ISSN : 2964-2922 and P-ISSN : 2963-6191. JKBTI publishes articles on research results in the field of Artificial Intelligence and Information Technology. JKBTI is committed to becoming the best national journal by publishing quality articles in Indonesian and English and becoming the main reference for researchers. All submissions are blind and reviewed by peer reviewers. All papers can be submitted in BAHASA INDONESIA or ENGLISH. Scope : Neural Networks, Machine Learning, Deep Learning, Data Mining, Big Data, Decision-Making System, Information System, Mobile Application, Data Warehouses, Database, Internet of Thing, Expert System.
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 150 Documents
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Implementation of An IoT-Based Temperature and Humidity Monitoring System with Data Logging Features in the Calibration Laboratory Ryan Franki Risdianto; Jendra Sesoca; Bayu Firmanto
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.v5i3.532

Abstract

ISO/IEC 17025:2017 accredited calibration laboratory, holds an absolute obligation to monitor, control, and record environmental conditions (temperature and humidity) to maintain the validity of measurement results and support budget uncertainty calculations. However, the current monitoring system is still conventional and manual (three times a day), making it vulnerable to human errors, data duplication, and an inability to record fluctuations between intervals. This study aims to design and build an automatic temperature and humidity monitoring system based on the Internet of Things (IoT) featuring a dual-logging system to ensure continuous technical records. The system design utilizes an ESP32 microcontroller as the central processing unit, a DHT11 sensor to detect ambient temperature and relative humidity, a Micro SD Card module as a local backup media (offline backup), and the ThingSpeak platform as a cloud database for remote monitoring. The sensor data is saved to the SD Card in CSV format every 5 minutes, while data transmission to ThingSpeak is scheduled every 1 minute. System testing involved functionality tests (Black Box Testing), local storage capability tests, connectivity tests, data validity tests, and stability/durability tests. The results indicate that the IoT-based monitoring device was successfully functionality test success rate. The implementation of the dual-logging feature effectively preserves the integrity and continuity of records; ThingSpeak simplifies realtime data visualization, while the Micro SD Card operates as a reliable local failsafe during network fluctuations. This system minimizes human error, increases operational oversight efficiency, and supports regulatory compliance with Clauses 6.3 and 7.5 of ISO/IEC 17025:2017.
Optimization of Fuzzy Tsukamoto for Waste Paper Quality Unfitness Weighting Fairuz Hadi; R Wisnu Prio Pamungkas; Fried Sinlae
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.v5i3.534

Abstract

Waste paper has economic value because it can be reused as raw material in the recycling industry. However, the assessment of waste paper quality in purchasing transactions is often still performed manually and may lead to subjective decisions, especially when several variables must be considered simultaneously. This study aims to apply the Fuzzy Tsukamoto method to determine the unfitness weight of waste paper quality as a supporting basis for determining the payable weight in waste paper purchasing transactions. The research was conducted at PT Gusti Putra using an applied research approach with system development. Data were collected through observation, interviews, and literature study. The variables used in the fuzzy calculation consist of vehicle type, gross weight, net weight, and paper quality as input variables, while the output variable is the percentage of waste paper quality unfitness weight. The calculation process includes fuzzification, fuzzy rule formation, inference using the AND operator, and defuzzification using the weighted average method. A case study was conducted using vehicle type K2, gross weight of 1600 kg, net weight of 1150 kg, and paper quality value of 6. The result shows an unfitness weight value of 13.04%, which belongs to the medium category. This result indicates that the Fuzzy Tsukamoto method can provide a more systematic, objective, and measurable assessment of waste paper quality and can support the payable weight calculation process in waste paper purchasing transactions.
Fraud Detection in Subsidized LPG Gas Distribution at the Base Level as a Monitoring System Using the Mamdani Fuzzy Logic Algorithm M.Syahrul; R Wisnu Prio Pamungkas; Fried Sinlae
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.v5i3.551

Abstract

he distribution of subsidized Liquefied Petroleum Gas (LPG) at pangkalan levels is still prone to fraud, such as discrepancies between stock and distribution volumes, sales above the maximum retail price (HET), and undelivered distributions, all of which are still mostly supervised manually. These conditions make it difficult to quickly and objectively detect the presence of a fraudulent distribution pattern. This research develops a Mamdani Fuzzy Logic-based fraud detection engine that functions as a real-time monitoring system for subsidized LPG gas distribution. The system was developed using the Waterfall method, which includes requirements analysis, design, implementation, and testing, and was built with Laravel, React.js, and Inertia.js as a Single Page Application (SPA) architecture. Fraud-indication analysis involves three fuzzy input variables — remaining stock, daily distribution volume, and the Purchase Order (PO) submitted to the agent. They are processed through fuzzification, a 27-rule rule base, MIN-MAX inference, and Centroid of Area defuzzification. The output is three categories: safe (aman), alert (waspada), and irregular/indicative of fraud (menyimpang). Real transaction data from Pangkalan Gas Asmalia for May 2026 shows that a daily distribution of 18 cylinders against a daily quota of 46 cylinders resulted in a crisp output of 16.20, which falls under the Safe category and is in line with actual field conditions. This system would enable the pangkalan operators to identify early fraud signals, have more structured and objective decisionmaking, and enhance the accountability of subsidized LPG distribution.
Stress Monitor Design and Construction Based on Arduino Uno Bayu Wahyudi; Ananda Hanif Nurcahya; Patrisius Kusi Olla; Afuan Faisal Zudhi
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.v5i3.552

Abstract

Monitoring physiological conditions such as heart rate during high physical activities, including stress test monitoring, is highly crucial to prevent cardiac overload. However, conventional stress test systems rely on expensive equipment, limiting their accessibility in small healthcare facilities. This study aims to design and construct an Arduino Uno-based stress test monitor utilizing an AD8232 ECG sensor integrated into a modified treadmill system. The system employs an Arduino Uno microcontroller as the primary data processor to analyze the bioelectric heart signals captured by the AD8232 sensor, displaying the real-time results on a TFT screen. Device performance was evaluated through voltage measurements, functional testing, speed calibration, and comparative testing across three speed levels: low mode, medium mode, and high mode. The results showed that the power distribution system operated stably with a maximum voltage error of 1.81%. Speed calibration using a tachometer produced three distinct intensity levels of 16 rpm, 24.6 rpm, and 33 rpm. Comparative testing against a standard pulse oximeter showed average heart rate readings of 98 BPM in low mode, 125 BPM in medium mode, and 155 BPM in high mode, with a percentage error of 0% and a correction value of 0 BPM across all modes. These results indicate excellent device accuracy, with deviations remaining well within acceptable tolerance limits. Consequently, the designed system functions as intended and is declared eligible for operational use to support user physical performance monitoring.
Implementation of the Density-Based Spatial Clustering (DBSCAN) Method to Identify Beauty Clinic Customer Purchasing Patterns Taufik Rifki Al Hafiz Lubis; Mulkan Azhari
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.v5i3.559

Abstract

Beauty clinics routinely accumulate detailed transaction records, yet these data are often used only for administrative reporting and are not transformed into actionable customer insights. This study implements Density-Based Spatial Clustering of Applications with Noise (DBSCAN) in a web-based system to identify customer purchasing patterns at Raen Aesthetic. Transaction data from January to December 2025 were cleaned, aggregated into recency, frequency, and monetary features, and normalized using a robust scaler. DBSCAN was executed with epsilon = 0.8000 and minimum samples = 5, while cluster quality was assessed using the Silhouette Score and Davies-Bouldin Index. The implementation produced nine customer clusters and 148 noise observations. The Silhouette Score of 0.3551 indicated a reasonably structured separation, whereas the Davies-Bouldin Index was 1.2569. Cluster 1 was the largest segment, comprising 355 customers with low purchase frequency and relatively small monetary value. Cluster 5 represented a high-value segment with an average monetary value of approximately IDR 10,302,000, while the noise group displayed heterogeneous but economically significant transaction behavior. Treatment transactions dominated most clusters, whereas several segments showed stronger preferences for packages and deposits. Black-box testing confirmed that all major functions operated according to the specified scenarios. The results demonstrate that DBSCAN can provide interpretable customer segmentation and support evidence-based service and customer-management decisions in beauty clinics.
SOA-Based Digitalisation of the Jakarta Metropolitan Police’s ICT Services for the Integrity of the Indonesian National Police’s Internal Services Oktavio Jati Moris Pereira; Anita Ratnasari
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.v5i3.561

Abstract

Internal Information and Communication Technology (ICT) services within the Jakarta Metropolitan Police have traditionally relied on manual, fragmented processes, resulting in data duplication, delayed reporting, and weak accountability in IT asset management. This study aims to digitize these internal technical services and enhance organizational integrity by developing a centralized web-based application using a Service-Oriented Architecture (SOA). Employing a descriptive qualitative approach, data were gathered through observation, interviews, and documentation to map and restructure existing business workflows. The resulting system, Lantik PMJ, was built using CodeIgniter 4, MySQL, and Bootstrap 4 to integrate modular services for IT equipment loans, network installations, device repairs, and comprehensive asset lifecycle tracking. Black-box testing was conducted to validate system functionality across tiered, role-based access levels. The results demonstrate that the SOA-based application successfully replaces informal communication channels with a structured workflow, providing real-time service tracking, automated PDF reporting, and proactive return-delay monitoring for IT assets. All tested functional scenarios passed successfully, confirming the system’s reliability and readiness for operational deployment. Ultimately, this digital transformation significantly improves operational efficiency, transparency, and internal accountability, serving as a foundational model for the broader modernization of the Indonesian National Police’s internal support infrastructure.
Transformation of Basketball Academy Athlete Performance Evaluation Using Information Technology and the Weighted Product Method Pahrizal; R Wisnu Prio Pamungkas; Fried Sinlae
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.v5i3.562

Abstract

Performance evaluation of basketball athletes at academies in Indonesia still largely relies on manual, subjective, and unintegrated assessment processes, leading to inconsistencies between evaluation periods. This study aims to design and develop a web-based information system for athlete performance evaluation at Bendella Basketball Court, Bekasi, using the Weighted Product (WP) algorithm. The system was developed following the Waterfall Software Development Life Cycle (SDLC) methodology, covering requirements analysis, system design, implementation with the Laravel framework, and testing. Eight evaluation criteria were established: shooting (20%), dribbling (15%), defense (15%), passing (10%), speed (10%), stamina (10%), discipline (10%), and teamwork (10%). The WP algorithm computes vector S and preference value V for each athlete, followed by threshold-based categorization into Junior Advance and Junior Basic categories. Testing on five sample athletes demonstrates that the system correctly ranks and categorizes athletes objectively. The Weighted Product method provides greater stability compared to Simple Additive Weighting (SAW) with a sensitivity change of only 0.01% versus 0.38%. This system supports coaches in making more accurate, consistent, and data-driven athlete evaluation decisions.
Optimization of Spare Parts Stock Control Using Safety Stock and Reorder Point Approach with Laravel Dimas Sanjaya; R Wisnu Prio Pamungkas Pamungkas; Fried Sinlae
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.v5i3.563

Abstract

Inventory management is a critical aspect of ensuring business operational continuity, particularly in maintaining spare parts availability for automotive workshops. Bengkel Mo Gerzz, a Vespa Matic specialist workshop, handles 1 to 10 vehicles daily with over 100 types of spare parts managed manually through simple records and verbal communication, leading to real-time stock monitoring limitations and reorder inaccuracies. This study develops a web-based inventory management system built with the Laravel framework, integrating the Safety Stock (SS) and Reorder Point (ROP) methods based on lead time to optimize spare parts stock control. The system was developed using the Waterfall methodology through seven sequential phases: planning, analysis, design, development, testing, implementation, and maintenance. The proposed SS formula calculates buffer stock as SS = (Dmax × Lmax) − (Davg × Lavg), while ROP is determined by ROP = (Davg × L) + SS. The system was evaluated using Black Box Testing across six modules, achieving a 100% pass rate across 24 test scenarios. Calculation results for 21 spare part types showed that Oli Mesin Ipone Scooter 10W-40 Premium recorded the highest SS value of 14.97 and ROP of 18, indicating the greatest demand variability. The system provides automated restock notifications when stock reaches the ROP threshold, enabling more structured and data-driven procurement decisions at Bengkel Mo Gerzz.
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.
Transforming E-Commerce UX: A User-Centered Design Approach to Enhance Usability and Web Performance MY Aura Puti Agdira; Sari Setyaning Tyas; Yuyun Khairunnisa
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.v5i3.566

Abstract

E-commerce platforms require optimal user interface (UI) and user experience(UX) alongside robust technical performance to retain users, particularly inspecialized markets like mother-and-baby products. Initially, the Boonabooe-commerce website exhibited critical deficiencies, achieving a poor SystemUsability Scale (SUS) score of 47.75 and a failing mobile Google Lighthouseperformance score of 41. To address these dual challenges, this study implementeda comprehensive UI/UX redesign using the User-Centered Design(UCD) methodology. A mixed-methods, pretest-posttest evaluation was conductedinvolving 20 respondents, utilizing a novel dual-metric approach thatcombined subjective usability measurement (SUS) with objective technicalauditing (Core Web Vitals via Google Lighthouse). Following the UCDintervention—which encompassed information architecture restructuring, navigationsimplification, and asset optimization—the platform demonstratedremarkable enhancements. Mobile performance surged by 104.8% (from 41 to84), while desktop performance reached near-perfection at 99. Concurrently,the mean SUS score escalated to 87.75, shifting the usability grade from NotAcceptable (Grade F) to Excellent (Grade A). These findings empirically provethat user-centered interface improvements inherently correlate with enhancedmachine-measured web performance. This study contributes a validated dualmetricframework for evaluating e-commerce redesigns, offering actionableinsights for optimizing digital retail environments where cognitive ease, speed,and user trust are paramount.

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