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All Journal JURNAL PENDIDIKAN TAMBUSAI JCRS (Journal of Community Research and Service) Jurnal Teknologi Dan Sistem Informasi Bisnis JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Teknik Industri Terintegrasi (JUTIN) Jurnal Locus Penelitian dan Pengabdian JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah Journal of Administration and International Development Jurnal Informatika: Jurnal Pengembangan IT
Fayaqun, Reza
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Aerospace Engineering Humanities Automotive Engineering Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Social Sciences

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OPTIMASI PENDISTRIBUSI BARANG DENGAN METODE CLARKE AND WRIGHT (SAVING HEURISTIC) DAN METODE NEAREST NEIGHBOUR Rachman Afandy, Fachri; Fayaqun, Reza
Jurnal Locus Penelitian dan Pengabdian Vol. 2 No. 8 (2023): Jurnal Locus Penelitian dan Pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v2i8.1589

Abstract

Perkembangan bisnis e-commerce dan jasa pengiriman tentunya tidak bisa lepas satu sama lain karena saling membutuhkan. PT. Pos Indonesia, memiliki unit operasi distribusi kiriman berupa Mail Processing Center (MPC), seperti MPC Bandung. Proses antaran yang terdapat di MPC Bandung sebagai ekspedisi yang mengirimkan barang hingga ke tangan pelanggan sangatlah panjang. Namun yang menjadi masalah adalah pendistribusian yang dilakukan MPC membutuhkan biaya yang besar oleh karena itu disusun rute pendistribusian untuk setiap Distribution Center (DC) menggunakan satu angkutan. Dalam penelitian ini peneliti ingin mengetahui bagaimana cara untuk memecahkan masalah penentuan rute yang optimal dari MPC Bandung ke setiap Distribution Center (DC). Dalam penelitian ini, penulis akan menganalisa masalah yang terjadi dengan menggunakan Metode Clarke and Wright Algorithm Saving Heuristic dan Metode Nearest Neighbour akan menghasilkan matriks jarak dari setiap titik atau lokasi, termasuk untuk pendistribusian kiriman di MPC Bandung ke setiap Distribution Center. Setelah dilakukan perhitung dengan Metode Saving Heuristic dan Algoritma Nearest Neighbour, maka selanjutnya hasil dari kedua metode dilihat mana yang memiliki jarak yang minimum. Dari kedua metode yang digunakan didapatkan Metode Algoritma Nearest Neighbour memiliki jarak yang minimum yakmi 238,1 km. Penghematan yang dilakukan apabila menggunakan Metode Nearest Neighbour adalah 21%.
Analisis Pemilihan Supplier Karton di Pt Dsv Solutions Indonesia dengan Menggunakan Pendekatan Metode Analytical Hierarchy Process (Ahp) dan Technique for Order Preference by Similarity to Ideal Solution (Topsis) Armanegara*, Siti Tasya; Fayaqun, Reza; Bisma, M. Ardhya
JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah Vol 8, No 4 (2023): Agustus, Social Religious, History of low, Social Econmic and Humanities
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jimps.v8i4.26952

Abstract

PT DSV Solutions Indonesia adalah perusahaan 3PL yang bergerak dalam sektor jasa logistik yaitu pergudangan. Dalam pengoperasiannya perusahaan harus melakukan kerja sama dengan pihak ketiga yaitu supplier, salah satu supplier yang digunakan adalah supplier karton. Permasalahan yang dialami oleh PT DSV Solutions Indonesia, selama periode oktober 2022 februari 2023 tim procurement mendapatkan keluhan dari tim operasional (gudang) terjadi keterlambatan oleh supplier yang kini sedang digunakan. Untuk mengatasi permasalahan tersebut, perusahaan harus menentukan supplier baru yang potensial untuk memasok kebutuhan karton. Hal ini dapat dilakukan dengan cara menyeleksi supplier berdasarkan kriteria-kriteria yang sesuai dengan perusahaan. Dalam mengambil keputusan penentuan supplier diterapkan metode AHP dan TOPSIS. Metode AHP digunakan untuk menentukan kriteria yang paling berpengaruh dengan matriks perbandingan berpasangan, dan menghasilkan nilai bobot kriteria yang kemudian digunakan sebagai input metode TOPSIS untuk merangkingkan supplier. Hasil perhitungan AHP didapatkan kriteria kualitas memiliki bobot tertinggi sebesar 0,24. Hal ini menunjukkan bahwa kualitas menjadi faktor utama dalam pemilihan supplier. Selanjutnya kriteria lain yang diterapkan yaitu ontime goods delivery (0,23), harga (0,19), term of payment (0,10), responsiveness (0,10), fleksibilitas (0,10), dan terakhir adalah minimum order quantity (0,05). Dari hasil perhitungan TOPSIS didapatkan supplier PT Osmo merupakan supplier terbaik untuk dipilih dengan nilai sebesar 1,000.
Market Analysis for Cold storage Case Study PT Pos Logistics in Bandung City Sulistiyaningsih, Febriani Puspita; Fayaqun, Reza; Numang, Irpan Puspita
Journal of Community Research and Service Vol. 7 No. 1: January 2023
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jcrs.v7i1.41358

Abstract

The use of cold storage has recently been in high demand among businesses, particularly those in the food and beverage industry. As one of the cold storage service providers, PT Pos Logistik wishes to determine the size of this business opportunity. Based on the findings of the survey and research, it was determined that cold storage users in the Bandung metropolitan region may be categorized into three groups: frozen foods, the processed food industry, and pharmaceuticals. As for market share percentage, the findings are as follows: 46% for frozen food, 46% for processed food, and 8% for the pharmaceutical industry. As a subsidiary of PT Pos Indonesia, PT Pos Logistik Indonesia already has a brand image, influencing 39.5% of purchasing decisions, while 60.5% of purchasing decisions are influenced by other variables not analyzed. The figure of 39.5% indicates that the influence of the brand image of Pos Logistik on the choice to acquire cold storage services is minimal
Penerapan Metode EOQ Dalam Pengendalian Persediaan Pakan Ternak Pada Usaha Peternakan Ayam Petelur Skala Mikro Fayaqun, Reza; Sulistyaningsih, Febriani; Numang, Irpan
Journal of Community Research and Service Vol. 8 No. 2: July 2024
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jcrs.v8i2.62234

Abstract

Bisnis di bidang peternakan memiliki prospek yang menjanjikan di Indonesia, salah satunya peternakan ayam petelur. Bukan tanpa alasan karena harga dan permintaan telur yang relatif stabil dan tingkat kematian (mortality rate) lebih rendah dibandingkan ayam pedaging. Kedua hal tersebut tidak serta merta menjadi faktor kesuksesan bisnis di bidang peternakan ayam petelur, tetapi kemampuan dalam mengendalikan faktor-faktor produksi  menjadi hal mutlak yang harus diperhatikan, salah satunya dalam pengendalian persediaan pakan ternak. Penelitian ini meggunakan metode Economic Order Quantity (EOQ) sebagai metode pengendalian persediaan pakan ternak dengan tujuan mengetahui jumlah pemesanan pakan ternak yang optimal. Dari observasi lapangan pada peternakan ayam petelur berskala mikro (< 1.000 unggas) didapat pola data pengguanaan pakan ternak 1 tahun terakhir, juga biaya simpan dan biaya pesan yang diperlukan dalam perhitungan EOQ. Hasilnya diketahui bahwa pemesanan pakan ternak yang optimal adalah sebanyak 18 zak dengan frekuensi pemesanan 11 kali pesan dalam setahun dan reorder point pada saat jumlah pakan ternak tersisa 1 zak, hal itu berpengaruh terhadap penurunan biaya persediaan sebesar Rp. 2.037.693.- dari semula sebesar Rp. 2.402.413.- menjadi Rp. 364.720.- per tahun.
Simulasi Proses Picking Order dengan Metode Dedicated Storage Menggunakan Software Fleksim (Studi Kasus PT XYZ) Amalia, Diana Nur; Fayaqun, Reza; Bisma, M Ardhya
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 7 No. 1 (2024): January
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v7i1.24351

Abstract

PT XYZ is a manufacturing company that produces food and drinks by providing quality products that are halal, high quality and safe for consumption by the public. In producing products, companies must provide several adequate facilities to support production activities, one of which is warehouse facilities. Currently, warehouses where finished food products are stored are stored randomly or placed in empty areas without paying attention to product entry and exit activities. This condition causes picking activities to take a long time and makes stock monitoring difficult. The aim of this research is to produce an appropriate goods storage design so that it can increase warehouse effectiveness. This research uses a special storage method. Where a special storage policy or method is permanently placed on each item. The number of product storage locations must meet the maximum storage space requirements and a simulation is carried out using FlexSim software. The research results show that designing goods storage using the dedicated storage method results in a reduction in the distance traveled for the collection process reaching 52%.
Penyelesaian Split Delivery VRP dengan Ant Colony Optimization (Studi Kasus: Pengiriman Produk di PT Sinarmas Distribusi Nusantara) Ginting, Anita Br; Fayaqun, Reza; Bisma, Muhammad Ardhya
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 7 No. 1 (2024): January
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v7i1.24844

Abstract

PT Sinarmar Distribusi distributes its products to all Distribution Center (DC) every day. Currently PT Sinarmas Distribution Nusantara uses a predetermined route every day using Colt Diesel Double vehicles with maximum transport capacity of 500 cartons.   Currently the number of products carried by each vehicle never reaches its maximum carrying capacity. PT Sinarmas Distribusi Nusantara wants vehicle transport capacity to be used optimally. This route problem at PT Sinarmas Distribusi Nusantara can be defined as Split Delivery Vehicle Routing Problem (SDVRP). Ant Colony Optimization (ACO) is a metaheuristic that can be used to solve SDVRP. By using ACO the resulting route is always shorter than the current route and the number of vehicles used is smaller.
Penerapan Algoritma Dijkstra dalam Pendistribusian Paket Permakanan Bagi Lansia Tunggal dan Penyandang Disabilitas Tunggal di Kelurahan Klampok Kota Blitar Fayaqun, Reza
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 7 No. 3 (2024): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v7i3.31984

Abstract

The Ministry of Social Affairs presents a national program as an effort to respect, protect and guarantee social security in the form of fulfilling food and nutritional needs known as the Food Social Assistance Program. This program is intended for single elderly and single disabled people with assistance for two meals per day with the aim of empowering the community and helping single elderly and single disabled people in meeting their decent standard of living. Distribution is centered on the sub-districts of each region throughout Indonesia, one of which is Klampok sub-district, Sananwetan district, Blitar City. In the distribution of this assistance, there are 23 heads of families who are eligible for assistance spread across several locations, this becomes a problem if the order of food distribution is carried out randomly without prioritizing distance and delivery time. The method used to solve this problem is the Dijkstra algorithm for determining the shortest route because it can determine the shortest route from a weighted graph where the weight is greater than zero (positive), from the starting point of all desired points, so that the shortest route can be found from the starting point to the destination point. The calculation results of the Dijkstra algorithm produce a sequence of each food package distribution point starting from node A-E-B-C-D-F-I-H-J-G-K-N-M-O-L-Q-P-R-S-T-U-V-W-X where this sequence covers a distance of 3,883 meters or 3.883 km. 
Metode Lot Sizing untuk Menentukan Biaya Persediaan Beras pada Perum Bulog Kantor Cabang Semarang Fayaqun, Reza; Sulistiyaningsih, Febriani
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 1 (2026): January
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i1.56242

Abstract

Food security is an important matter that is of concern to the government, through Bulog the Government controls rice supplies in the country, especially in the city of Semarang where there is a stock out, to overcome this problem a safety stock of 681.93 kg per month is needed as well as the application of three lotting techniques namely lot for lot, EOQ and LUC to determine which lotting technique produces the minimum total inventory cost. Of the three lotting techniques, the lot for lot technique is considered more profitable with a total inventory cost of Rp. 100,620,861 compared to using the EOQ lotting technique with a total inventory cost of Rp. 111,910,165 with a difference of Rp. 11,289,304 greater than the lot for lot lotting technique. The largest total inventory cost by applying LUC lotting is Rp. 128,058,510, with a difference in total inventory costs of Rp. 25,437,684 or 25.3% greater than lot-for-lot lotting, this is because in the simple EOQ model it is assumed that orders arrive all at once and will increase inventory, in reality, orders arrive according to the transport capacity, which is 4 tons. So it can be concluded that if these three lotting techniques are applied, the lot-for-lot technique has the lowest inventory costs.
Co-Authors Akbar, Weno Amalia, Diana Nur Armanegara*, Siti Tasya Choldun R, Muhammad Ibnu Dani Leonidas Sumarna Ekra Sanggala Entis Sutisna Evant, Iaro Ginting, Anita Br Jannah, Rahmawati Nurul Maulani, Muhammad Ruslan Mubassiran Mubassiran, Mubassiran Muhammad Ardhya Bisma Numang, Irpan Numang, Irpan Puspita Pratama, Muhammad Rayhan Rachman Afandy, Fachri Rahmatuloh, Marwanto Rizqullah, Anarga Fairuz Sulistiyaningsih, Febriani Sulistiyaningsih, Febriani Puspita Sulistyaningsih, Febriani Unggul Prasetyo Wibowo, Unggul Prasetyo Utama, M. Ridho Saputra Yanuar, Amri