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All Journal JOURNAL OF ELECTRICAL AND SYSTEM CONTROL ENGINEERING Impression : Jurnal Teknologi dan Informasi
Tammamah Lubis, Hartati
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Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering

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Implementasi Algoritma Fifo Terhadap Sistem Antrian Pasien di Rumah Sakit Berbasis Web Online Ismail, Juni; Gea, Muhammad Nasri; Satria, Habib; Tammamah Lubis, Hartati; Prasetya, Hardi; Hanani Hutabarat, Jamina; Sihombing, Rotua; Wanayumini, Wanayumini
JOURNAL OF ELECTRICAL AND SYSTEM CONTROL ENGINEERING Vol. 7 No. 2 (2024): Journal of Electrical and System Control Engineering
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jesce.v7i2.10665

Abstract

The development of queuing systems in hospitals continues to be developed to optimally support patient service, especially regional general hospitals (RSUD). This is because the manual system is still inefficient, resulting in patients queuing for a long time and conflicts often occur. Based on these problems, a Web system was designed with the support of the Fifo algorithm so that the queuing system becomes simpler and more optimal. An easier and more flexible queuing system will support better and more excellent hospital services. Implementation of the Fifo Algorithm, designed to determine and calculate the patient queue system and orderly service for patient registration at the hospital. The implementation of this automatic queuing application will have an impact on health services, especially at Dr. Djasamen Saragih, Pematang Siantar city. The results of using a web-based application in this hospital have an impact in making it easier for operators or admins to queue up calls for patient serial numbers. The operating system on the website is monitored. If the web status has a data result of 1, the patient has been called by admin, but if the patient has not been called, the monitoring site is in Web with value 0 or null.
Optimasi Random Forest untuk Peningkatan Sensitivitas Deteksi Fraud pada Data Imbalanced Tammamah Lubis, Hartati; Harianto, Adi
Impression : Jurnal Teknologi dan Informasi Vol. 5 No. 1 (2026): Maret 2026
Publisher : Lembaga Riset Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59086/jti.v5i1.1395

Abstract

Deteksi fraud pada transaksi keuangan merupakan permasalahan krusial akibat ketidakseimbangan data (imbalanced dataset) dan tingginya risiko kerugian finansial. Penelitian ini bertujuan mengoptimasi model Random Forest dalam mendeteksi transaksi fraud menggunakan dataset credit.csv. Proses optimasi dilakukan melalui RandomizedSearchCV untuk memperoleh kombinasi hyperparameter terbaik serta penyesuaian threshold probabilitas untuk meningkatkan nilai recall. Hasil eksperimen menunjukkan model mencapai nilai ROC-AUC sebesar 0.97 +, dengan recall fraud meningkatkan dari 0.83 pada threshold default menjadi 0.90 pada threshold 0.2. Hasil ini menunjukkan bahwa optimasi hyperparameter dan threshold efektif dalam meningkatkan sensitivitas sistem terhadap transaksi fraud.   Financial transaction fraud detection is a critical problem due to class imbalance in the dataset and the high financial losses associated with undetected fraudulent activities. This study aims to optimize a Random Forest model for detecting fraudulent transactions using the creditcard.csv dataset. The optimization process was conducted using RandomizedSearchCV to identify the best hyperparameter combination, and a probability threshold adjustment to improve recall performance. Experimental results show that the optimized model achieved an ROC-AUC score above 0.97, with fraud recall increasing from 0.83 at the default threshold to 0.90 at a threshold of 0.2. These findings indicate that hyperparameter tuning and threshold optimization effectively enhance the system's sensitivity to detecting fraudulent transactions.
Co-Authors Adi Harianto Gea, Muhammad Nasri Habib Satria Hanani Hutabarat, Jamina Ismail, Juni Prasetya, Hardi Sihombing, Rotua Wanayumini