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All Journal RABIT: Jurnal Teknologi dan Sistem Informasi Univrab
Yessy Afrillia
Universitas Malikussaleh
Computer Science & IT Engineering

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IMPLEMENTASI MAUT PADA SISTEM PENDUKUNG KEPUTUSAN DALAM DISTRIBUSI PERSEDIAAN KANTONG DARAH DI UDD PMI KOTA LHOKSEUMAWE: IMPLEMENTATION OF MAUT IN DECISION SUPPORT SYSTEMS FOR BLOOD BAG DISTRIBUTION AT THE PMI BLOOD TRANSFUSION UNIT IN LHOKSEUMAWE CITY Roza Tarina; Safwandi Safwandi; Yessy Afrillia
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 10 No 2 (2025): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v10i2.6520

Abstract

The Blood Donor Unit (UDD) of PMI Lhokseumawe City has a vital role in maintaining the availability and distribution of blood bags to various hospitals. However, the distribution process is faced with the challenge of a mismatch between the number of requests and fluctuating supplies, which risks disrupting medical services and causing waste due to expired blood. This study aims to design and implement a web-based decision support system (SPK) that assists PMI UDD in prioritizing the distribution of blood bags objectively and efficiently. The method used is Multi-Attribute Utility Theory (MAUT), with evaluation of six main criteria: number of uses, number of supplies, number of requests, road density, travel time, and distance. The system was built using PHP and MySQL, and tested using the black-box testing method. The test results show that all system features work validly according to the expected functionality, thus supporting the reliability of the application in the decision-making process. The MAUT calculation results show that RSU Metro Medical Center obtained the highest utility value of 0.5809 (58.09%), placing it as the top priority for distribution. In comparison, RSU Cut Meutia obtained 0.4234 (42.34%), while RSIA Bunda obtained 0.3997 (39.97%), which shows a significant difference in distribution priorities. The implementation of this system is expected to improve distribution effectiveness, optimize inventory allocation, and support more accurate and measurable decision-making at UDD PMI Lhokseumawe City.
PENERAPAN DATA MINING PENJUALAN SEPATU MENGGUNAKAN METODE ALGORITMA APRIORI DAN REGRESI LINIER BERGANDA BERBASIS WEB: THE IMPLEMENTATION OF DATA MINING FOR SHOE SALES USING THE APRIORI ALGORITHM METHOD AND MULTIPLE LINEAR REGRESSION BASED ON THE WEB Deffiyani; Rozzi Kesuma Dinata; Yessy Afrillia
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 10 No 2 (2025): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v10i2.6521

Abstract

Penelitian ini mengkaji penerapan teknik data mining untuk menganalisis pola penjualan sepatu di Toko Tunelbrand, Aceh Utara. Tujuan utama adalah mengidentifikasi keterkaitan antarproduk melalui algoritma Apriori serta memprediksi volume penjualan berdasarkan variabel harga dan promosi menggunakan metode regresi linier berganda. Proses analisis mencakup evaluasi data transaksi penjualan guna menghasilkan frequent itemsets dan aturan asosiasi berdasarkan nilai ambang support dan confidence tertentu, serta pengembangan model regresi linier untuk estimasi penjualan. Hasil dari algoritma Apriori mengungkap adanya pola pembelian yang signifikan, seperti kombinasi produk Adidas-Nike dengan support sebesar 50% confidence 67%, NikeAdidas dengan support sebesar 50% dan confidence 100%, serta Puma-Adidas dengan support 33% dan confidence 100%. Model regresi linier menunjukkan nilai koefisien determinasi (R²) sebesar 0,3813, RMSE sebesar 3,41 dan Mean Squared Error (MSE) dalam rentang 2,7 yang menandakan bahwa performa prediksinya masih terbatas. Sistem berbasis web yang dikembangkan dalam penelitian ini mampu menyajikan visualisasi hasil analisis secara informatif, sehingga dapat digunakan untuk mendukung pengambilan keputusan dalam strategi penempatan produk, promosi bundling, serta peramalan permintaan secara lebih efisien.
Co-Authors Deffiyani Roza Tarina Rozzi Kesuma Dinata Safwandi Safwandi