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Journal : bit-tech

Klasifikasi Kualitas Rasa Kopi Menggunakan Sistem Web Berbasis Naïve Bayes: Implementasi dalam Sistem Berbasis Web Baharianto, Ahnaf Irfan; Dani, Dani
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3510

Abstract

Coffee taste quality is a key factor influencing customer satisfaction and reflecting the professionalism of baristas in coffee service operations. However, manual coffee taste assessment remains highly subjective and often leads to perceptual differences between professional assessors and consumers, resulting in inconsistent flavor quality. To address this challenge, this study aims to develop and evaluate a machine learning-based system for predicting coffee taste quality, which supports the sensory assessment process in operational coffee business environments. The proposed system utilizes the Naive Bayes algorithm and is implemented as a web-based application to facilitate structured data management, automated classification, and informed decision-making during the espresso dialing-in process. The research data were obtained from coffee taste assessments involving baristas as trained panelists and customers as consumer panelists. Sensory attributes, including coffee bean origin, brewing time, resting period, water temperature, and extraction results, were collected and processed as classification input features. The evaluation involved comparing assessment patterns between baristas and customers to analyze consistency across key sensory attributes. The results show high agreement between barista and customer assessments for attributes such as body and balance, while noticeable differences were observed in acidity and sweetness. At the system evaluation stage, the model was tested on a limited dataset consisting of seven samples and correctly classified six instances, achieving an accuracy of 85.71%. These findings indicate that the proposed system has strong potential to support objective and consistent coffee taste quality evaluation in real-world operational settings.
Development of a Web-Based Clothing Sales System for Efficiency and Customer Satisfaction Hidayat, Andrian; Dani, Dani; Anwar, A. Nurul
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3729

Abstract

Advances in information technology have enabled businesses to increase operational efficiency and effectiveness. Web-based clothing sales information systems support improved sales processes and more accurate inventory management. The goal of this research is to create a web-based system for tracking garment sales statistics in order to increase efficiency and customer satisfaction. The waterfall system development process was employed in the Clothing Sales System research, which included the Customer Satisfaction phases of analysis, design, implementation, testing, and maintenance. The analysis stage identifies system requirements through observation, interviews, and questionnaires. The design phase focuses on system modeling with data flow diagrams and entity-relationship diagrams. The programming language used in the implementation stage is PHP, and the database is MySQL. To guarantee that the system works properly, the testing step uses both black-box and white-box approaches. The findings reveal that the built system performs effectively and satisfies user demands, with a 90% success rate. The system can increase sales by 20% and reduce operational costs by 15%, while improving inventory management and response times. In addition, the system contributes to customer satisfaction by providing more complete and accurate product information. The average customer satisfaction score was 4.25 out of 5, indicating high user satisfaction. The waterfall technique was used to create a web-based clothes sales information system that may significantly increase business efficiency and consumer happiness. This system also enhances operational performance and supports better decision-making in clothing sales management.
Medical Equipment Inventory Information System in Public Hospitals Dani, Dani
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3771

Abstract

General Hospitals (RSU) require an effective medical equipment inventory management system to support improved healthcare quality. Currently, many hospitals still use manual methods for recording and managing inventory, which often leads to various challenges such as data errors, lost equipment, distribution delays, and difficulties in monitoring the condition and availability of medical equipment. This study aims to design and implement a web-based Medical Equipment Inventory Information System (SIIAM) to improve the efficiency, accuracy, and transparency of hospital inventory management. To address these issues, a web-based Medical Equipment Inventory Information System (SIIAM) was developed, designed to assist hospitals in managing inventory data in an integrated, fast, and accurate manner. The system was developed using the Waterfall method, which includes requirement analysis, system design, implementation, testing, and maintenance, and was evaluated through system testing to measure its effectiveness. SIIAM can record real-time data on the procurement, maintenance, and use of medical equipment. Furthermore, this system can help identify equipment needs, organize periodic maintenance schedules, and generate reports required by hospital management. Based on testing results, implementing SIIAM increased the efficiency of medical equipment inventory management by up to 30%. It reduced the recording error rate by 20%, while providing real-time access to integrated data across hospital units. Therefore, the web-based SIIAM is an effective solution for enhancing efficiency, accuracy, and transparency in medical equipment inventory management, thereby improving healthcare service quality and patient safety in General Hospitals.