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Sinawati, Sinawati
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Computer Science & IT

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Journal : Journal of Big Data Analytic and Artificial Intelligence

 1 
Implementasi Data Mining Menggunakan Algoritma Apriori Untuk Menentukan Tata Letak Obat Pratiwi, Widya; Fitriana, Ayu; Sinawati, Sinawati; Zulhilmi, Hafizhan
Journal of Big Data Analytic and Artificial Intelligence Vol 8 No 1 (2025): JBIDAI Juni 2025
Publisher : STMIK PPKIA Tarakanita Rahmawati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71302/jbidai.v8i1.62

Abstract

The role of information systems has expanded to other layers of life, especially business sectors operating in the health sector. Improving service and performance productivity in the health sector, one of which is pharmacies. This study aims to identify drug dispensing patterns at 24-hour pharmacies in Tarakan. A 24 hour ready pharmacy is a business place that operates in the field of selling medicines, the sales are still manual and the data is stored as an archive, so there is no application that can help the pharmacy owner in knowing the combination of medicines purchased and in determining the layout of medicines that are still not in accordance with the requirements. alphabetical order, based on tablet drug category. This research aims to determine the relationship between drugs purchased by consumers and how to implement data mining to determine the combination of drug sales at 24 Hour Ready Pharmacies. This research was carried out in several stages. The first stage creates tabular transaction data. The second stage is to determine minimum support and minimum confidence. The third stage is to calculate itemset combinations. The fourth stage is calculating confidence and the fifth stage is making a rule or decision rule..
DESAIN APLIKASI PERAMALAN PENYEWAAN LAPANGAN FUTSAL MENGGUNAKAN METODE DOUBLE EXPONENTIAL SMOOTHING Saputri, Sasya Rahayu; Sinawati, Sinawati; lusi, lusiana
Journal of Big Data Analytic and Artificial Intelligence Vol 6 No 1 (2023): JBIDAI Juni 2023
Publisher : STMIK PPKIA Tarakanita Rahmawati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71302/jbidai.v6i1.40

Abstract

The Futsal Field is a sports venue that is usually rented out by the hour. The problem that occurs is that there is no computerized system that is used to predict the number of rental hours on the futsal field for the next period, so that the owner can know whether in the next period it will increase or decrease. Based on the description above, the author wants to create an application that can predict the amount of rent on one of the futsal fields for the next period. The author will use Brown's Double Exponential Smoothing method to calculate the forecast, then to calculate the accuracy of the forecast calculation using the Mean Absolute Percentage Error method. This research produces an application that can predict the amount of field rent in the next 3 months. The results obtained are, in field 1 for January 2020 it was 136 hours, February 2020 was 136 hours, and March 2020 was 135 hours. Then in field 2, for January 2020 it is 74 hours, February 2020 is 74 hours, and March 2020 is 73 hours. The accuracy rates for fields 1 and 2 are 2.18% and 9.42%, which means very good.
Implementasi Data Mining Menggunakan Algoritma Hash Based Terhadap Pola Pengeluaran Obat Pada Rumah Sakit Pertamina Tarakan Febriyan, Febriyan; Juliansyah, Rizky; Sinawati, Sinawati; Anto, Anto
Journal of Big Data Analytic and Artificial Intelligence Vol 7 No 1 (2024): JBIDAI Juni 2024
Publisher : STMIK PPKIA Tarakanita Rahmawati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71302/jbidai.v7i1.41

Abstract

The role of information systems has expanded to other layers of life, especially in the health sector. Improving service and performance productivity in the health sector, including pharmacies. This study identifies drug dispensing patterns at the Pertamina Tarakan Hospital.This research was carried out in several stages. First, create tabular transaction data. Second, determine minimum support. Third, determine the memory address. Fourth, calculate the minimum confidence. Fifth, calculate confidence, and last, make a decision.This study focuses on Rs Pertamina Tarakan to identify common spending patterns. For example, in the previous 12 months, what drug combination was most commonly administered to patients. Knowing dispensing patterns allows Rs Pertamina Tarakan to arrange the layout of medicines, resulting in more optimal and excellent service in the medicine administration department. The results showed that in 2022, three pairs of drug combinations placed close together, namely Ranitidin, Urdahex Cap first pair, Urdahex Cap, Folamil genio kap, Propylathiorasil second pair, and Propylathiorasil, Ranitidin, and Urdahex Cap  third pair.
Co-Authors Anto Anto, Anto Ayu Fitriana Febriyan, Febriyan Juliansyah, Rizky Lusi, Lusiana Saputri, Sasya Rahayu Widya Pratiwi Zulhilmi, Hafizhan