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All Journal Jurnal Rekayasa Sistem Industri Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri IKRA-ITH Informatika : Jurnal Komputer dan Informatika Jurnal Logistik Indonesia JURMATIS : Jurnal Manajemen Teknologi dan Teknik Industri JENIUS: Jurnal Terapan Teknik Industri
Rachmawati, Nur Layli
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Transportation

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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; Firarianti, Assyifa Aleyda
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.
Freight Train Scheduling using Integer Linear Programming: A case study of cement distribution Rachmawati, Nur Layli; Putri, Dian Permana
Jurnal Logistik Indonesia Vol. 6 No. 2: Oktober 2022
Publisher : Institut Ilmu Sosial dan Manajemen Stiami

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31334/logistik.v6i2.2410

Abstract

Transportation process is responsible for providing efficiency of moving products considering time, cost, and vehicle utilities through inbound and outbound logistics. Transportation disruptions such as congestion, delays, or cancellations can have a detrimental impact on the company. PT X uses trains to transport unpackaged cement in bulk from factory to port. PT X has not met the daily train delivery target due to train delays, inconsistency delivery frequency and ineffective schedule. Therefore, the quantity of shipment does not meet the expected target. In this study, optimization of train rescheduling was carried out to minimize total train delays. This optimization is expected to be able to create a new train schedule that meets the daily delivery target. The proposed model is formulated as and solved as Integer Linear Programming (ILP) problem by considering single-track railway constraints. Results show the optimal train schedules give a total delay of 26 minutes. Compared to the existing condition, train delays are reduced by 69.7% and provide a more effective schedule with consistent delivery frequency.
Genetic Algorithm with Cluster-first Route-second to Solve the Capacitated Vehicle Routing Problem with Time Windows : A Case Study Putri, Karina Aginta; Rachmawati, Nur Layli; Lusiani, Mirna; Redi, Anak Agung Ngurah Perwira
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 23 No. 1 (2021): June 2021
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.23.1.75-82

Abstract

In a distribution problem, designing the right distribution route can minimize the total transportation costs. Therefore, this research aims to design a distribution route that produces a minimal distribution distance by clustering the demand points first. We generated the clustering method to cluster the demand points by considering the proximity among the demand points and the total vehicle capacity. In solving this problem, we are using p-median to determine the cluster and a genetic algorithm to determine the distribution route with the characteristics of the CVRPTW problem. CVRPTW or capacitated vehicle routing problem with time windows is a type of VRP problem where there is a limitation of the vehicle capacity and service time range of its demand point. This research concludes that clustering the demand points provides a better result in terms of total distribution costs by up to 16.26% compared to the existing delivery schedule. The performance of the genetic algorithm shows an average difference of 1.73%, compared to the exact or optimal method. The genetic algorithm is 89.68% faster than the exact method in the computational time.
Pemilihan Lokasi Pembangunan Tempat Pembuangan Sementara di Desa Sambongrejo, Kabupaten Tuban, Provinsi Jawa Timur dengan Metode MCDM-AHP Iskandar, Yelita Anggiane; Rachmawati, Nur Layli; Amadea, Jesika; Fihan, Joan Mesiah; Sofyan, Fathya Fajria; Rahma, Dewinka Azelia
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 9 No. 1 (2025): IKRAITH-INFORMATIKA Vol 9 No 1 Maret 2025
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Desa Sambongrejo berada dalam wilayah administrasi Kecamatan Semanding, Kabupaten Tuban, Provinsi Jawa Timur, Indonesia. Data dari UOBF Puskesmas Wire yang dinaungi Dinas Kesehatan Kabupaten Tuban menunjukkan bahwa Desa Sambongrejo belum memiliki Tempat Pembuangan Sementara (TPS). Dalam penelitian ini diberikan usulan alternatif lokasi TPS terbaik di Desa Sambongrejo menurut proses pemilihan multikriteria dengan Metode AHP. Dalam penelitian ini, ahli dan pemangku kepentingan dilibatkan untuk memberikan penilaian untuk bobot kriteria dan alternatif. Penentuan lokasi pembangunan TPS ini menggunakan bantuan software Expert Choice. Dari ketujuh kriteria yang dipilih sebagai penilai pemilihan lokasi, didapatkan kriteria yang paling penting dalam pengambilan keputusan adalah pemilik tanah. Kriteria yang dinilai penting selanjutnya adalah akses jalan, jarak ke pemukiman, tempat parkir truk, partisipasi masyarakat, luas lahan, dan cakupan rumah. Dari dua kandidat lokasi yang telah ditetapkan, alternatif yang memiliki bobot terbesar adalah lahan di Dusun Jeruk Gulung. Sehingga, lokasi tersebut direkomendasikan sebagai kandidat yang terpilih lahan pembangunan TPS
Increasing Productivity Using Define, Measure, Analyze, Improve, Control (DMAIC) at PT. XYZ (a Case in Indonesian Company) Kurniawan, Adji Candra; Maula, Fiki Rohmatul; Rachmawati, Nur Layli
Jurnal Logistik Indonesia Vol. 7 No. 1: April 2023
Publisher : Institut Ilmu Sosial dan Manajemen Stiami

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31334/logistik.v7i1.3308

Abstract

The productivity level of PT. XYZ is still below the target, especially in the batch area. This condition is proved by the Overall Equipment Effectiveness (OEE) value is about 58% based on January and February data. Taking this into account, it is necessary to conduct further research to determine the causes. This study aims to increase productivity in the raw material warehouse and pre-batch areas. To solve this problem we use a six-sigma with DMAIC method because these methods can determine the root cause of the problem and provide appropriate recommendations for improvement systematically. The results show that the application of the kanban system in the pre-batch area and reuse of rack in the pre-batch area can increase the average OEE batch value from 58% to 64%. The increase in productivity tn the raw material warehouse and pre-batch area affects Adherence to Plan (ATP) value from 86% to 91,15%.
Optimasi Berbasis GIS untuk Perancangan Rute Distribusi Gas Bumi: Studi Kasus PT Gagas Energi Indonesia Rachmawati, Nur Layli; Firarianti, Assyifa Aleyda
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.
Co-Authors Alif Furqan, Muhammad Amadea, Jesika Anak Agung Ngurah Perwira Redi Barandika Dianisa, Pramesti Adwinda Fihan, Joan Mesiah Firarianti, Assyifa Aleyda Iskandar, Yelita Anggiane Kurniawan, Adji Candra Liperda, Rahmad Inca Lusiani, Mirna Maula, Fiki Rohmatul Putri Dewi, Bella Putri, Dian Permana Putri, Karina Aginta Rahma, Dewinka Azelia Sofyan, Fathya Fajria Syahza, Bayzura