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All Journal Jurnal Pustakawan Indonesia Jurnal INSYPRO (Information System and Processing) JURNAL INSTEK (Informatika Sains dan Teknologi) Journal Software, Hardware and Information Technology Jurnal Pustakawan Indonesia Innovative: Journal Of Social Science Research System Information and Computer Technology (SYNCTECH)
Ibrahim, Firmansyah
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Humanities Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences Other

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Journal : System Information and Computer Technology (SYNCTECH)

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Sistem Informasi Penentuan Prioritas Pengadaan Obat Menggunakan Metode Analisis Activity Based Costing (ABC) Hartono, Nahrun; Ibrahim, Firmansyah; Asminarni, Asminarni
System Information and Computer Technology (SYNCTECH) Vol. 1 No. 1 (2024)
Publisher : Subaltren Inti Media

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Abstract

Gisella Farma Pharmacy is a pharmacy that sells a wide variety of medicines. Each type of drug has a different priority level, which causes difficulty in determining priorities for drug procurement. This can lead to a waste of funds and stock buildup, which can be detrimental to the pharmacy. Additionally, in managing drug inventory, regular checks are still required for every request, as there is no real-time information on the amount of drug stock available in the pharmacy. The activity-based costing method is used to assign different priorities to each group of drugs and support drug procurement. Extreme Programming was used in developing this system, with black-box testing as the system testing method. From the results of research using the activity-based costing method: Drug sales data in April showed that 37 items (47.44%) of drugs belonged to class A with a total sales value of 79.54%, 23 items to class B (29.49%) with a total sales value of 15.28%, and 18 items to class C (23.08%) with a total sales value of 5.18%. Drug sales data in May included 31 items (43.06%) of drugs belonging to class A with a total sales value of 79.42%, 21 items to class B (29.17%) with a total sales value of 15.18%, and 20 items to class C (27.78%) with a total sales value of 5.40%. Drug sales data in June showed that 39 items (49.86%) of drugs belonged to class A with a total sales value of 79.42%, 27 items to class B (29.67%) with a total sales value of 15.37%, and 25 items to class C (27.47%) with a total sales value of 5.21%. Drug sales data in July included 40 items (44.94%) of drugs belonging to class A with a total sales value of 79.74%, 24 items to class B (26.97%) with a total sales value of 14.96%, and 25 items to class C (28.09%) with a total sales value of 5.30%.
Pengelompokkan Data Penyakit Menggunakan Algoritma K-Means Pada Puskesmas Kampili Prabujaya, Ilham; Rahman, Rahman; Ibrahim, Firmansyah; Muin, Asrul Azhari; Wahyuni, Sri
System Information and Computer Technology (SYNCTECH) Vol. 1 No. 2 (2025): July
Publisher : Subaltren Inti Media

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This research is motivated by the problem of the Kampili Community Health Center in managing medical record data which is still done manually, thus complicating the analysis process and medical decision-making. This study aims to design and build a web-based medical record data clustering system using the K-Means algorithm. This system is expected to assist the community health center in grouping patient data based on attributes such as disease type, address, gender, age, and number of cases, thereby facilitating the identification of disease patterns. The study uses the Lean Software Development (LSD) development method with data collection techniques in the form of observation, interviews, and literature studies. System testing was conducted using the Blackbox method and the System Usability Scale (SUS). The results showed that the system was successfully implemented and was able to group data effectively, facilitate information retrieval, and produce accurate cluster visualizations. This system obtained a usability score of 84.3 on the SUS scale, which is included in the "Excellent" category with an A rating. This indicates that the application is easy to understand and use by users, and is useful in supporting decision-making in the field of public health.
Co-Authors Agus Buono Akib, Faisal ANTAMIL, ANTAMIL Asminarni, Asminarni Asrul Azhari Muin, Asrul Azhari Dillah, Nur Fadilah Rahmat Erfina Irman Hermadi Ismi, Nur Katili, Andi Yusuf Nahrun Hartono, Nahrun Nur Inayah Prabujaya, Ilham Rachman, Ellys Rahman Rahman Rahman Reza Maulana Rizaldy, Adhy Sri Wahyuni Syah, Herwan