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Determination of closest facility tsunami evacuation building using GIS Heuristic Method: A Case Study of Meuraxa District, Banda Aceh City Liperda, Rahmad Inca; Barandika; Syahza, Bayzura; Putri Dewi, Bella; Alif Furqan, Muhammad; Rachmawati, Nur Layli
JENIUS : Jurnal Terapan Teknik Industri Vol 5 No 1 (2024): JENIUS: Jurnal Terapan Teknik Industri
Publisher : LPPMPK - Sekolah Tinggi Teknologi Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/jenius.v5i1.909

Abstract

Indonesia, characterized by its susceptibility to natural calamities such as seismic activities, tsunamis, inundations, and volcanic eruptions, experienced a significant event on December 26, 2004, when a seismic event measuring 9.1 in magnitude occurred off the northern Sumatran coast, precipitating a tsunami with particularly severe repercussions in the Aceh province. The absence of preemptive measures exacerbated the catastrophe, leading to a substantial loss of lives. Subsequent to this incident, the implementation of Tsunami Evacuation Buildings (TEB) has been underway as a preventive measure against potential tsunami disasters. The construction process involves utilizing Geographic Information System (GIS) technology for mapping during evacuations. The escalating population has rendered the existing TEB facilities insufficient for evacuation purposes, necessitating the construction of additional TEB structures. The determination of TEB locations involves a location-allocation analysis, with subsequent assessment of the nearest routes conducted through closest facility analysis. Research findings indicate that the incorporation of three new TEBs has proven effective in facilitating timely evacuation during tsunamis, accommodating a population of 6,528 within a maximum duration of 22 minutes, with a maximum capacity of 11,808. However, it is noteworthy that the efficacy of these facilities is contingent upon factors such as the condition of the building's ground floor in the event of a tsunami-induced flooding, which may influence the overall capacity
Optimasi Berbasis GIS untuk Perancangan Rute Distribusi Gas Bumi: Studi Kasus PT Gagas Energi Indonesia Rachmawati, Nur Layli
Jurnal Rekayasa Sistem Industri Vol. 13 No. 1 (2024): Jurnal Rekayasa Sistem Industri
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26593/jrsi.v13i1.6507.59-68

Abstract

PT Gagas Energi Indonesia is a company engaged in the trading and natural gas business, one of which is Gaslink C-Cyl. Route determination for Gaslink C-Cyl distribution is carried out subjectively based on the proximity of locations between customers, thus creating inefficient routes, affecting the number of vehicles needed, and causing high transportation costs. Based on this problem, this study aims to minimize transportation costs by determining the optimal route and number of vehicles needed using the Multi-Trip Vehicle Routing Problem Time Windows Simultaneous Pickup and Delivery (MTVRPTW-SPD). This problem is solved using Geographic Information System (GIS) based optimization. To evaluate GIS-based optimization performance, comparison between existing condition and optimization are done for 50 demand points. Then, two scenario was developed, 100 and 200 demand points to explain the decision implication related to demand uncertainty. Based on the optimization process for 50 demand points gives better solution than existing condition in term of number of fleets needed, total distance travelled, and total transportation cost which result 3 units, 46,5%, and 43,5% respectively.
Model Simulasi Sistem Diskrit untuk Meminimasi Rata-rata Waktu Tunggu Truk (Studi Kasus PT. XYZ) Rachmawati, Nur Layli; Dianisa, Pramesti Adwinda
JURMATIS (Jurnal Manajemen Teknologi dan Teknik Industri) Vol. 4 No. 2 (2022): August
Publisher : Universitas Kadiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/jurmatis.v4i2.2371

Abstract

Sugarcane (Saccharum Officinarum), as a raw material sugar-making process, is the essential component for the sugar industry, including PT XYZ. Sugarcane is a perishable good with 48 hours shelf life after being cut from the garden; if it exceeds the shelf life, the sugarcane yield will decrease. The random pattern of truck arrivals causes a queue of trucks within the factory. This study aims to reduce the average waiting time of entities in the system using discrete simulations. Discrete-event simulation is used to capture changes in variables and has been widely used to solve queuing problems. We developed four scenarios to seek the better solution. Scenario 1 is to shift the location of the sugarcane unloading tables 1 and 2. Scenario 2 is to add one location for unloading the sugarcane table. Scenario 3 adds the function of unloading small ankle trucks and large ankles on sugar cane loading tables 4 and 5. Scenario 4 is developed by combining scenarios 1 and 3. The results show that the reduction in average waiting time of scenario 1: long truck 15.9 minutes and small ankle truck 124.6 minutes; scenario 2: small ankle truck 5.5 minutes; scenario 3: small ankle truck 95.5 minutes; scenario 4: small ankle truck 163.3 minutes and long truck 13.1 minutes.  Based on those scenarios, scenario 4 obtained the best solution with a total decrease the average truck time in the system of 176.4 minutes or 8% better than existing system. Tebu (Saccharum Officinarum) sebagai bahan baku pembuatan gula menjadi komponen paling penting bagi industri pengolahan gula, termasuk PT XYZ. Tebu bersifat perishable dengan masa simpan maksimal selama 48 jam setelah ditebang dari kebun, dan jika melebihi waktu simpan maka kadar rendemen tebu akan menurun. Pola kedatangan truk yang acak menyebabkan timbulnya antrean truk dalam pabrik. Penelitian bertujuan untuk mengurangi antrean truk dengan indikator pengurangan rata-rata waktu tunggu entitas dalam sistem menggunakan simulasi diskrit. Simulasi diskrit digunakan karena dapat menangkap perubahan variabel dan telah banyak digunakan untuk menyelesaikan permasalahan antrian, Simulasi menggunakan 4 skenario usulan. Skenario 1 adalah dengan menggeser lokasi meja tebu bongkar 1 dan 2. Skenario 2 adalah dengan menambah satu lokasi meja tebu bongkar. Skenario 3 adalah dengan menambahkan fungsi bongkar truk engkel kecil dan engkel besar pada meja tebu bongkar 4 dan 5. Sedangkan skenario 4 dikembangkan dengan cara menggabungkan skenario 1 dan 3. Berdasarkan skenario, pengurangan waktu tunggu rata-rata skenario 1: truk gandengan 15.9 menit dan truk engkel kecil 124.6 menit; skenario 2: truk engkel kecil 5.5 menit; skenario 3: truk engkel kecil 95.5 menit; scenario 4: truk engkel kecil 163.3 menit dan 13.1 menit untuk truk gandengan. Skenario terbaik adalah skenario 4 dengan penurunan total sebanyak 176.4 menit atau 8% dari sistem eksisting.