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All Journal Jurnal Computech & Bisnis (e-Journal) ELINVO (Electronics, Informatics, and Vocational Education) JAIS (Journal of Applied Intelligent System) Voice Of Informatics CSRID (Computer Science Research and Its Development Journal) SENSITEK E-JURNAL JUSITI : Jurnal Sistem Informasi dan Teknologi Informasi Informatics Management, Engineering and Information System Journal Journal of Economics, Management, and Entrepreneurship Jurnal Sistem Informasi dan Teknologi Informasi Journal of Economics, Management, and Entrepreneurship
Egi Badar Sambani, Egi Badar
STMIK Mardira Indonesia, Bandung
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Library & Information Science Social Sciences Other

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Implementation Of The Case Based Reasoning (CBR) Expert System Method For Heart Disease Diagnosis Based On Patient Symptom History: Case Study Of Mitra Lewo Clinic Ikbal Jamaludin; Ahmad Baehaqi; Egi Badar Sambani
JURNAL COMPUTECH & BISNIS Vol. 19 No. 2 (2025): Jurnal Computech & Bisnis (e-Journal)
Publisher : LPPM STMIK Mardira Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56447/jcb.v19i2.12

Abstract

Cardiovascular disease ranks among the primary causes of mortality in Indonesia.  An expedient and precise diagnostic method is crucial, particularly in primary healthcare settings such as Klinik Mitra Lewo, which face constraints on medical personnel.  This research aims to develop a web-based expert system using the Case-Based Reasoning (CBR) methodology to support preliminary diagnosis of heart disease based on a patient's symptom history.  The CBR approach functions by juxtaposing new patient symptoms with historical cases via the stages of Retrieve, Reuse, Revise, and Retain.  This system is developed using an Object-Oriented Software Engineering (OOSE) methodology and implemented in PHP using the CodeIgniter framework.  System testing employs black-box testing techniques to verify that each functionality satisfies user requirements.  The research findings demonstrate that the system can offer pertinent initial diagnostic recommendations and assist medical professionals in decision-making.  Consequently, an expert system can be a valuable asset in healthcare, especially when medical resources are constrained.
Application Of The K-Means Clustering Algorithm For Data Collection And Grouping Of Reading Monitoring In The Literacy Program In One Of The Public Elementary Schools In Bandung Chicha Wiarsa; Lilis Emalia; Egi Badar Sambani; Adi Raharjo
Informatics Management, Engineering and Information System Journal Vol. 4 No. 1 (2026): Informatics Management, Engineering and Information System Journal
Publisher : LPPM STMIK Mardira Indonesia

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Abstract

This study employs the K-Means Clustering algorithm within a data-gathering and monitoring framework for student literacy initiatives at a public primary school in Bandung. The research used a descriptive quantitative methodology, employing data from student reading activities, including the quantity of books read and reading comprehension scores. The K-Means algorithm analyzes this data to categorize children into three reading levels: high (Grade A), moderate (Grade B), and low (Grade C). The computation technique employs two variables ($x$ and $y$) denoting the number of books read and the corresponding comprehension scores. The study determined the final centroids for each cluster as follows: C1 (12.5, 88.75) for high ability, C2 (7.33, 75.0) for moderate ability, and C3 (3.0, 55.0) for poor ability. After two cycles, the clustering outcomes stabilized, indicating no further member reassignments among groups. Of the 10 students assessed, the algorithm categorized four into the high cluster, three into the intermediate cluster, and three into the low cluster. The findings indicate that the K-Means algorithm effectively classifies student literacy data in an objective, quantifiable manner. The execution of this algorithm helps educators track literacy progress, categorize abilities, and develop more targeted instructional strategies.
Application Of the Buffer Stock Method in The Inventory Information System: Study On One Wholesale Company in Bandung Zaki Nurrohman; Dheni Apriantsani; Mohammad Hamdani; En Tay; Egi Badar Sambani
Informatics Management, Engineering and Information System Journal Vol. 2 No. 1 (2024): Informatics Management, Engineering and Information System Journal
Publisher : LPPM STMIK Mardira Indonesia

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Abstract

This study aims to examine the inventory system employed by a wholesaler located in Bandung and offer suggestions to enhance the efficiency and effectiveness of inventory management. The research methodology is a case study incorporating interviews and firsthand observation of the company's inventory system. The results suggest that the company still needs to practice any particular approach for overseeing its inventory, resulting in difficulties in calculating suitable inventory levels and a failure to use technology in inventory management. Hence, the author advises the wholesaler in Bandung to enhance the utilization of technology in managing their inventory and proposes adopting a buffer stock approach for inventory control.
Co-Authors Adi Raharjo Ahmad Baehaqi Apriantsani, Dheni Asep Mulyana Ati Nursahati Awit Marwati Sakinah Chicha Wiarsa Dadang Mulyana Dani Rohpandi Deny Erwandi Dheni Apriantsani Emalia, Lilis En Tay Evi Dewi Sri Mulyani Fahmi Akbar Fauzi Fauzi, Fahmi Akbar Firham Mulady Fitri Nuraeni Haris Supriatna Hidayatuloh, Ade Taopik Ikbal Jamaludin Irfan Maulana Latif, Dadang Marlina, Rina Miftah Fahmi Mohammad Hamdani Mohammad Hamdani, Mohammad Muhamad Satrio Nugraha Nensi Mardhiani Surgawi Nono Sudarsono Nugraha, Muhammad Rizki Nurrohman, Zaki Pitriah Nopitasari Ray Jati Kautsar Riesy Putri Navia Rizal Rachman, Rizal Saputra, Raka Aditya Shinta Siti Sundari Sidik, Rais Akbar Srihermaning, Nova _ Tay, En Teuku Mufizar Toni Kusnandar Widya Octaviani Yoga Handoko Agustin Yuda Purnama Putra Yundari, Yundari Zaki Nurrohman