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Journal : System Information and Computer Technology (SYNCTECH)

Implementasi Sistem Pendukung Keputusan Menggunakan Simple Additive Weighting (SAW) pada Pengadaan Stok Obat Muin, Asrul Azhari; Syahbudin, Syahbudin; Febriana, Herna
System Information and Computer Technology (SYNCTECH) Vol. 1 No. 1 (2024)
Publisher : Subaltren Inti Media

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Abstract

A medicine is a substance used for diagnosis, pain relief, and for treating or preventing diseases in humans or animals. Medicine in a broad sense is any chemical substance that can affect life processes, so pharmacology is a very broad science. The problem currently faced by Mifta Polewali Mandar Hospital is that all data input and output processes are still done manually, and there is often a shortage or excess of medicines in the pharmacy stockroom during the process of stock procurement, which is an activity to maximise the supply of medicines so that errors do not occur. Errors in stock procurement planning can result in an excess or shortage of medicines. A shortage of medicines can result in less than optimal service to consumers and can affect the pharmacy's profit or revenue. Meanwhile, overstocking results in a lot of expired and wasted medicines because they cannot be returned to the supplier and also requires more space to store medicines. The purpose of this study is to develop a decision support system for drug stock procurement at Mifta Polewali Mandar Hospital and to implement the Simple Additive Weighting (SAW) method in drug stock procurement at Mifta Polewali Mandar Hospital. In this study, the researchers used a type of qualitative research. The results of this study showed that the decision suppo
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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Abstract

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.