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All Journal JRSI (Jurnal Rekayasa Sistem dan Industri) Tekinfo | Scientific Journal of Industrial and Information Engineering
Raihan Dara Lufika
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Computer Science & IT Control & Systems Engineering Industrial & Manufacturing Engineering

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System Dynamic Modeling in Blood Supply System (Case Study) Eva Oktaviana; Andriansyah Andriansyah; Raihan Dara Lufika; Nissa Prasanti
JRSI (Jurnal Rekayasa Sistem dan Industri) Vol 8 No 02 (2021): Jurnal Rekayasa Sistem & Industri - Desember 2021
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v8i02.516

Abstract

XYZ merupakan salah satu instansi yang menangani pendistribusian darah dengan jumlah pasokan yang dibutuhkan untuk memenuhi permintaan bersifat tidak pasti. Permasalahan terjadi pada manajemen persediaan yang berdampak pada fluktuasi stok darah. Penelitian ini dilakukan menggunakan pendekatan sistem dinamik untuk merancang model persediaan darah pada XYZ serta memberikan rekomendasi skenario terbaik terhadap permasalahan ada berdasarkan prioritas indikator tujuan. Struktur model digambarkan dalam causal loop diagram dan stock and flow diagram. Fungsi tujuan model pemodelan ini adalah meminimumkan ketidakstabilan terhadap persediaan darah sehingga dapat menstabilkan antara pemasukan dan pengeluaran donor darah. Empat skenario kebijakan yang disimulasikan pada model dengan parameter yang digunakan adalah jumlah donor pengganti dan darah kadaluwarsa yang rendah. Hasil simulasi skenario yang terbaik adalah skenario yang memiliki jumlah donor sebanyak 230 kantong setiap 15 hari dengan kebijakan pengadaan donor dua kali dalam satu bulan.
Pemilihan Supplier Pangan Organik dengan Metode Analytic Network Process (ANP) Nur Izzaty; Alma Arif; Raihan Dara Lufika
Tekinfo: Jurnal Ilmiah Teknik Industri dan Informasi Vol 12 No 2 (2024)
Publisher : Program Studi Teknik Industri Universitas Setia Budi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31001/tekinfo.v12i2.2028

Abstract

Supplier selection is one of the activities in the flow of supply chain and strategic decisions that can increase the competitive advantages for the company. AF organic shop is a business engaged in the organic food industry. There are several problems related to supplier selection due to the less optimal performance of each supplier. This study employed Analytic Network Process (ANP) method and assisted with the Software Super Decisions in order to determine the primary criteria and sub-criteria in the process of supplier selection, adjusted to the requirements of AF by comparing various feedbacks regarding each supplier against the specified criteria to achieve company goals. The results revealed that the order of the essential criteria for AF’s suppliers sequentially are quality (0.417), price (0.360), service (0.159), and delivery (0,070). Meanwhile, the primarily subcriteria considered supplier selection was the conformity of products and specifications with the score 0.739. Quality criteria is the most important focus for AF since it committed to maintain the quality of organic food ingredients sold to consumers. Therefore, it indicated that the best supplier was WSM with the score 0.446.
System Dynamic Modeling in Blood Supply System (Case Study) Eva Oktaviana; Andriansyah; Raihan Dara Lufika; Nissa Prasanti
Jurnal Rekayasa Sistem & Industri Vol 8 No 02 (2021): Jurnal Rekayasa Sistem & Industri
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v8i02.516

Abstract

XYZ is one of the agencies that handle the distribution of blood with the amount of supply needed to meetdemand is uncertain. Problems occur in inventory management which has an impact on bloodstockfluctuations. This research was conducted using a dynamic system approach to design a blood supplymodel at XYZ and provide recommendations for the best scenario for existing problems based on thepriority indicators of the objectives. The structure of the model is described in causal loop diagrams andstock and flow diagrams. The objective function of this modeling model is to minimize the instability ofthe blood supply so that it can stabilize the intake and output of blood donors. Four policy scenarios aresimulated in the model with the parameters used is the number of replacement donors and low expiredblood. The simulation result for the best scenario is a scenario that has 230 donor bags every 15 days witha policy of procuring donors twice in one month.
Co-Authors Alma Arif ANDRIANSYAH Andriansyah Andriansyah Eva Oktaviana Nissa Prasanti Nur Izzaty