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Journal : G-Tech : Jurnal Teknologi Terapan

Determination of Supply Strategy for Beef Price Stability in Balikpapan: Game Theory Approach Bayu Nur Abdallah; Fatia Sukma Wardani; Christopher Davito Prabandewa Hertadi
G-Tech: Jurnal Teknologi Terapan Vol 8 No 1 (2024): G-Tech, Vol. 8 No. 1 Januari 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v8i1.3449

Abstract

Fulfillment of beef availability needs to be considered to maintain a balance between supply and demand. This is because the market often experiences price fluctuations due to stock imbalances. This research aims to identify the most effective strategy using a game theory approach to guarantee the availability of beef and maintain price stability in Balikpapan, where Balikpapan always brings in beef from outside the area, both local and imported beef. This research provides valuable insight into the importance of collaboration between the parties involved, namely local beef traders and importers. This research also serves as a guide for decision makers in the beef industry to achieve an optimal balance between supply and demand. The results obtained through pure strategic analysis indicate a competitive situation between local traders and beef importers. Both parties adopted the same strategy to maintain a 100% stock level, which resulted value of the game is 55,673,262,189.
Pemodelan Simulasi Antrian Pengambilan Material Pada Warehouse Section PT Kaltim Methanol Industri Putri Gesan Prabawa Anwar; Christopher Davito Prabandewa Hertadi; Ridho Kamal Pratama
G-Tech: Jurnal Teknologi Terapan Vol 8 No 1 (2024): G-Tech, Vol. 8 No. 1 Januari 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v8i1.3946

Abstract

A company that offers products naturally needs storage space called a warehouse. Warehouse has an information system regarding the availability, status and condition of goods in the warehouse. Parties who need materials are required to come to the warehouse to pick up the goods. With limited human resources, there will be a buildup of queues and waiting times that are getting longer along with the number of users entering the system. This study aims to reduce the number and time of queues by conducting simulations with different scenarios. The study used primary data by combining 3 days of observation data as many as 34 data. Observations were made during normal working hours, namely 07.30 to 15.30. The actual model of the warehouse queuing system is a single channel multiphase. By comparing the actual simulation model with different scenarios, it is expected to find scenarios that can reduce the time and number of queues.
Analisis Proses Pengadaan Material dengan Pendekatan Simulasi di Perusahaan Listrik Negara (PLN) Muhammad Ali; Christopher Davito Prabandewa Hertadi; Happy Aprillia; Muqimuddin Muqimuddin
G-Tech: Jurnal Teknologi Terapan Vol 8 No 3 (2024): G-Tech, Vol. 8 No. 3 Juli 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v8i3.4444

Abstract

PLN merupakan perusahaan negara yang bergerak di bidang pembangkitan dan penyaluran energi. Salah satu bagian dari PLN adalah PLTU Kaltim Teluk sebagai pembangkit energi listrik di Kalimantan Timur yang tentu melakukan proses pemeliharaan dan perbaikan mesin. Periode Juni-Juli 2023 terjadi penundaan pemeliharaan dan operasional karena keterlambatan pengadaan material dengan status belum selesai hanya 68%. Penelitian ini dilakukan untuk mengidentifikasi faktor yang menyebabkan keterlambatan proses pengadaan barang dengan memperhatikan utilitas dan waktu tunggu. Pemodelan simulasi digunakan sebagai metode penyelesaian karena memiliki efisiensi waktu dan mengurangi biaya besar dalam melakukan skenario perbaikan. Hasil simulasi aktual didapatkan total waktu tunggu sebesar 18,34 jam dengan tahap approving dan pembuatan dokumen TOR, FPB, dan RAB sebagai tahap waktu tunggu terbesar. Utilitas pada staff pembuatan FPB, TOR, RAB sebesar 13-62%, staff RO 6-55%, staff RKS 10-52%, staff PDP 0-45%, staff HPS 0-45%, staff PPP 0-44%, staff eval 4-41%, staff BA 0-56%, dan staff PO 8-52%.. Kemudian dikembangkan tiga skenario perbaikan, dengan skenario terbaik yaitu skenario pengurangan resource dan skenario peningkatan jumlah material pemesanan.