Article Per Year (5 Year)
p-Index From 2020 - 2025
3.936
P-Index
This Author published in this journals
All Journal JRSI (Jurnal Rekayasa Sistem dan Industri) JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) eProceedings of Engineering Telkatika: Jurnal Telekomunikasi Elektro Komputasi & Informatika
Yulianti, Femi
Telkom University
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

Published : 26 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : JRSI (Jurnal Rekayasa Sistem dan Industri)

 1 
Perancangan Kebijakan Persediaan Produk FMCG untuk Meminimasi Total Biaya Persediaan Menggunakan Continuous Review (r, Q) di PT ABC Dhea Trullyani Savitri; Femi Yulianti; Hardian Kokoh Pambudi
JRSI (Jurnal Rekayasa Sistem dan Industri) Vol 9 No 02 (2022): Jurnal Rekayasa Sistem & Industri - Desember 2022
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v9i02.584

Abstract

PT ABC merupakan perusahaan rintisan yang menyediakan platform berbelanja online dengan berbagai macam produk kebutuhan sehari-hari, salah satunya adalah produk Fast Moving Consumer Goods (FMCG). Permasalahan utama yang dihadapi PT ABC adalah total biaya persediaan yang melebihi anggaran sebesar 82%. Hal ini dikarenakan belum adanya perhitungan kebijakan persediaan yang baku. Untuk menyelesaikan permasalahan yang sedang dihadapi, perancangan usulan kebijakan persediaan perlu dilakukan untuk mendapatkan nilai reorder point, kuantitas pemesanan, dan safety stock. Berdasarkan hal tersebut, klasifikasi persediaan akan dilakukan terlebih dahulu menggunakan analisis ABC. Lalu dilanjutkan dengan perancangan kebijakan persediaan menggunakan metode continuous review (r, Q) untuk meminimasi total biaya persediaan. Setelah itu, Decision Support System (DSS) dirancang berdasarkan hasil kebijakan persediaan usulan menggunakan Microsoft Excel-VBA. Hasil dari penelitian, nilai reorder point, kuantitas pemesanan, dan safety stock didapatkan untuk 42 produk pada kategori A dengan nilai yang berbeda-beda. Berdasarkan kebijakan persediaan usulan, terjadi penurunan total biaya persediaan sebesar 11% atau senilai Rp281.770.103/tahun dari total biaya saat ini. Kemudian, DSS berhasil dirancang untuk membantu pengambil keputusan dalam menerapkan kebijakan persediaan usulan. Walaupun sudah berhasil diminimasi, namun total biaya persediaan usulan masih melebihi anggaran yang ditetapkan. Hal ini karena anggaran saat ini belum mempertimbangkan semua komponen biaya persediaan, bahkan anggaran untuk biaya pembelian dengan kuantitas pemesanan sebanyak jumlah permintaan saja sudah tidak mencukupi.
Inventory Policy Design of FMCG Products to Minimize Total Inventory Cost Using Continuous Review (r, Q) at PT ABC Dhea Trullyani Savitri; Femi Yulianti; Hardian Kokoh Pambudi
Jurnal Rekayasa Sistem & Industri Vol 9 No 02 (2022): 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.v9i02.584

Abstract

T ABC is a start-up company that provides an online shopping platform with a variety of daily necessities,one of products offered is Fast Moving Consumer Goods (FMCG). The main problem faced by PT ABCwas the total inventory cost that exceeded the budget by 82%. This was caused by the lack of standardinventory policy calculation. To overcome this problem, a proposed inventory policy needs to be designedto obtain the optimal value of reorder point, order quantity, and safety stock. Before designing the inventorypolicy, inventory classification was conducted using ABC analysis. Then proceed with designing inventorypolicy using the continuous review method (r, Q) to minimize total inventory cost. After that, a DecisionSupport System (DSS) was designed based on the results of the proposed inventory policy using MicrosoftExcel-VBA. This research resulted the optimal value of reorder point, order quantity, and safety stock wereobtained for 42 products in category A with diverse values. Based on the proposed inventory policy, the totalinventory cost decreased by 11% or Rp281.770.103/year from the existing total cost. Then, the DSS wassuccessfully designed to assist decision makers in implementing the proposed inventory policy. Although ithad been successfully minimized, the total cost of the proposed inventory still exceeded the budget. Thiswas because the current budget had not considered all components of inventory costs, even the budget forpurchasing costs with an order quantity of as much as the number of demands was not sufficient.
Co-Authors Andrawin, Luciana Anya Shafira Pramesti Ari Yanuar Ridwan Ayu Masturo, Ami Ayudita Oktafiani Bayugiri Taufik Adiputra Detha Aulia Alfazah Dhea Trullyani Savitri Erlangga Bayu Setyawan Fauziyah, Anisa Gisti Ayu Pratiwi Hakim, Linda Arini Hardian Kokoh Pambudi Hariyono, Rizky Alif Oktaviani Iphov Kumala Sriwana Kevin Ahessa Julian Khoirunnisa, Alifa Luciana Andrawina Mauritz Edo Soumutul Muhammad Nashir Ardiansyah Murni Dwi Astuti Prafajar Suksessanno Muttaqin Putra, Kresna Nurfajri Setya Putu Giri Artha Kusuma Rafi S , Muhammad Rahma Putri, Annisa Ridho Abdhillah Permana Rizkiansyah, Muhammad Nabil Rofifah , Atikah Rosyid Kriswanto, Muhammad Salsabila, Tiara Rizky Simatupang, Michael Samuel Sri Rejeki, Afifa Rismila Sukma, Tania Ayu Zahra, Arifa Fadhillah