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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Optimasi Sistem Industri OPERATION EXCELLENCE: Journal of Applied Industrial Engineering Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri JURNAL MANAJEMEN INDUSTRI DAN LOGISTIK Jurnal Serambi Engineering Amwaluna Jurnal Ekonomi dan Keuangan Syariah Indonesian Journal of Halal Research Jurnal Sistem Teknik Industri Jurnal Pengabdian Masyarakat: Darma Bakti Teuku Umar Aceh International Journal of Science and Technology

Sentia, Prima Denny

Teknik Industri, Fakultas Teknik, Universitas Syiah Kuala

Author-ID : 862035

Religion Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Transportation Other

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Pendekatan Simulasi untuk Analisis Antrian pada Bengkel Servis PT. X Prima Denny Sentia; Ilyas Ilyas; Riyan Haikal
Jurnal Optimasi Sistem Industri Vol. 15 No. 2 (2016): Published in November 2016
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

PT. X is an authorized dealer and service provider of a reputable car product that provides sales and maintenance services. Total number of counters and stalls owned by PT. X cannot be considered optimal based on the number of cars that will be serviced. Long queues cause customers postponinge the maintenance service and reschedule them to another day. The purpose of this study is to analyze the queue characteristic of the simulation results in the service counters and to design improvement of the scenarios. The study was conducted to implement a simulation model on a service system in order to determine an optimal number of service stations which is appropriate with the waiting time that has been targeted by the company. The analysis of the scenario carried out refers to the target that needs to be achieved by the company that is 15 minutes waiting time to call by counter and 120 minutes waiting time to service. Based on the possibilities occurred, there are 11 proposed improvement scenarios that can be applied in the company. The results from the analysis stated that scenario No. 8 that add two counters and two maintanance stalls in the service station has average waiting time which closed with targeted time set by the company. Therefore, scenario No. 8 is chosen as a proposed improvement actiion. By implementing this scenario it is expected that average waiting time to call by a counter is only on 16,845 minutes on Thursday and the average waiting time to service is only 124,63 minutes on Wednesday.

Penentuan Rute Kendaraan Heterogen Menggunakan Algoritma Insertion Heuristic Nanda Saputra; Prima Denny Sentia; Andriansyah Andriansyah
Jurnal Optimasi Sistem Industri Vol. 17 No. 1 (2018): Published in April 2018
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Distribution process at PT XYZ is identical to one of the variants of Vehicle Routing Problem (VRP) which there are several vehicles with different capacities and operation cost, called as Heterogeneous Fleet Vehicle Routing Problem (HFVRP). There are two kinds of vehicle that have been used, namely, vehicle As and vehicle Bs. Vehicle As has the higher operation cost than vehicle Bs. Currently, the company implements policies where vehicle Bs is used if all vehicle As have been used. This policy may lead the distribution cost is so expensive and its equal with the operation cost of vehicle As that also high. Routing aims to combine the use of available vehicles to generate minimal distribution costs in servicing the customers. This research uses mathematical model according to the description of the distribution system in the company. The model is verified and tested using the optimization software. Then the constraints of the verifiable mathematical model are used as the basis for developing Insertion Heuristic (IH) algorithm. Comparison of model solutions with developed algorithm solutions showed a difference of 11.6%. This implies that the algorithm generated solution is quite good as one of the heuristic approaches that result in optimal local solutions. Implementation of IH algorithm provides cost savings of 5.97% towards the actual distribution system in the company.

Algoritma Simulated Annealing untuk Menentukan Rute Kendaraan Heterogen (Studi Kasus) Andriansyah Andriansyah; Rizky Novatama; Prima Denny Sentia
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 7 No 5: Oktober 2020
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2020752018

Permasalahan transportasi dalam supply chain management sangat penting untuk dikaji karena dapat menimbulkan biaya logistik yang sangat besar. Salah satu cara untuk mengurangi biaya transportasi adalah dengan penentuan rute kendaraan atau dikenal dengan istilah vehicle routing problem. Objek yang menjadi kajian merupakan perusahaan yang bergerak pada bidang distribusi produk untuk area kota Banda Aceh dan sekitarnya. Dalam proses distribusi, perusahaan ini menggunakan dua jenis kendaraan dengan kapasitas dan biaya operasional yang berbeda sehingga permasalahan menjadi heterogeneous fleet vehicle routing problem. Penentuan rute kendaraan dalam penelitian ini dilakukan dengan tiga metode, yaitu metode analitik, algoritma insertion heuristic sebagai metode heuristik, dan algoritma simulated annealing sebagai metode metaheuristik. Berdasarkan hasil yang diperoleh dari data ujicoba, algoritma simulated annealing merupakan algoritma yang paling baik dalam menyelesaikan permasalahan. Secara rata-rata, algoritma simulated annealing dapat menghasilkan kualitas solusi yang sama dengan metode analitik, namun dengan waktu komputasi yang lebih singkat. Selain itu, algoritma simulated annealing menghasilkan kualitas solusi yang lebih baik dibandingkan algoritma insertion heuristic yang dikembangkan dalam penelitian dan dapat meningkatkkan kualitas solusi sebesar 20,18% dari penelitian sebelumnya dengan waktu komputasi 19,27 detik. AbstractTransportation problems in supply chain are very important to be discussed because they can raises enormous logistic cost. Route determination of the vehicles known as vehicle routing problem is the one of ways to reduce transportation cost. The object discussed in this study is the distribution company for Banda Aceh city and its surroundings. The company uses two types of vehicle to distribute the product for customers. The differences each vehicle are vehicle capacity and operational cost. To cover these differences, the problem becomes heterogenous fleet vehicle routing problem. The study uses three methods to solve the problem. Analitycal method, insertion heuristic algorithm as heuristic method and simulated annealing algorithm as metaheuristic method are the methods used. According to the results, simulated anneling algorithm produces the better solutions than two others. On average, solutions produced by simulated annealing algorithm from dataset have same quality with analitycal method, but with faster computation. Furthermore, simulated anneling algorithm produces better quality of solutions than insertion heuristic algorithm both from this study and previous study. The solution improves 20,18% with computation time 19,27 seconds.

Logistic Performance Measurement on a Port in Aceh Prima Denny Sentia; Regita Ramadani; Sarika Zuhri
Jurnal Teknik Industri Vol. 20 No. 1 (2018): June 2018
Publisher : Institute of Research and Community Outreach - Petra Christian University

Indonesia government has established sea toll program through Presidential Regulation No.17 in 2017 to support inter-island distribution. Port X in Aceh is one of the ports included in sea toll program. This paper discusses logistic performance m.easure, especially in sea transportation. A Logistic Performance Index (LPI) is proposed as a tool to identify challenges and opportunities in Port X performance. Key indicators which affect the value of logistics performance index will also be studied in this paper. There are several logistic performance measurements for port X based on literature study: quality, delivery cost, transportation cost, and information. Eight indicators affect Port X performance: quality of the commodity, the quantity of the commodity, on time delivery, ship call, sea transportation cost, storage cost, electronic availability, and electronic access. Port X average total index, based on Analytical Hierarchy Process, is 2,557. This value can be considered as quite reasonable. The study limits logistic performance for the arrival route of the container vessel leading to Port X. The final result shows that quality performance indicator (quality quantity of commodity index) has the highest index for all originating port. The second highest index is electronic information availability index. Through this finding, Port X must improve their service and information because it plays a vital role in their performance

Analisis Perawatan Mesin Pendistribusian Air Bersih Menggunakan Metode Overall Equipment Effectiveness (OEE) Pada PDAM Unit Lambaro Dewi Mulyati; Prima Denny Sentia; Irhamni Irhamni; Zulfami A
Jurnal Serambi Engineering Vol 2, No 4 (2017)
Publisher : Fakultas Teknik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jse.v2i4.491

Mesin distribusi menjadi hal yang penting dalam perusahaan Daerah Air Minum (PDAM) Tirta Daroy Banda Aceh. Kebutuhan supply air bersih meningkat dengan bertambahnya penduduk dan peralatan atau mesin distribusi yang terdapat didalam Perusahaan Daerah Air Minum (PDAM) akan senantiasa mengalami penurunan efisiensi, tingkat kesiapan, keandalan (reliability) dan kualitas bentuk kerja (performance) yang menyebabkan keadaan menjadi buruk, sejalan dengan lamanya pemakaian dan umur mesin. Hal itu akan menyebabkan kerugian bagi perusahaan, oleh karena itu, perusahaan harus berusaha agar mesin dan peralatan berfungsi dengan baik sehingga penyuplaian air bersih berjalan lancar. Tujuan penelitian ini adalah untuk mengetahui efektifitas mesin KSB dan TORISHIMA serta membandingkan nilai OEE perusahaan dengan standar Overall Equipment Effectiveness World Class. Metodologi yang digunakan yaituOverall Equipment Effectiveness. Adapun hasil penelitian ini dapat disimpulkan yaitu nilai rata-rata OEE yang didapatkan dari mesin KSB dan TORISHIMA mulai dari 90,53% hingga 94,00%. Adapun hasil tersebut jika kita bandingkan dengan JIPM world class, maka untuk nilai Overall Equipment Effectiveness perusahaansudah mencapai standar yang ditetapkan yaitu 85%.

PENENTUAN RUTE KENDARAAN PADA SISTEM DISTRIBUSI LOGISTIK PASCA BENCANA (STUDI KASUS) Andriansyah Andriansyah; Prima Denny Sentia
Jurnal Manajemen Industri dan Logistik (JMIL) Vol 2, No 1 (2018): page 03 - 103
Publisher : Politeknik APP Jakarta

The success indicators of disaster mitigation can be seen from the disaster logistics system. Effective and efficient distribution network can make a good disaster logistics system. The problem that related to the design of this network is the vehicle routing problem. The objective is determined optimal route of relief distribution from warehouse to victims with minimum time duration. The problem is solved by branch and bound, insertion heuristic, and local search algorithms. The results obtained by branch and bound and local search algorithm are optimal global. Time duration of vehicle using these algoritm is 1.0562 hours. However, computation time using branch and bound algorithm is very long until 22 hours while local search algorithm only takes 60 seconds. The insertion heuristic algorithm also produces a good solution. Time duration of vehicle using this algoritm is 1,1030 hours. This solution is local optimal, but the computation time is very short, only 0.001 seconds.

System Dynamic Modeling: A Case Study of a Hotel Food Supply Chain Prima Denny Sentia; Andriansyah; Rizki Agam Syahputra; Chairil Akbar; Wyona Allysha Rustandi Putri
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 6 No 4 (2022): Agustus 2022
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

However, a closer examination reveals that many firms are battling inventory bottleneck as the covid pandemic spike in demand converges, which results in unpredictability and unstable sale fluctuation. This situation forced the hotel industry to find a balance between fulfilling demand and inventory turnover, which is impossible to predict accurately. Therefore, this research aims to combine system dynamics modelling with a hotel food supply chain system to solve the unpredictability of supply chain dynamics. In addition, The Causal Loop Diagram (CLD) and Stock and Flow Diagram (SFD) are used in this study to model the complexity of the case study supply chain, with an objective model to minimize the instability of inventory turnover and to stabilize the sales movement. This study proposes five policy scenario simulations where standard deviation (SD) and Standard of Error (SE) are used as the decision-making parameters. The simulation result suggests that the fifth scenario provides the highest SD (49.484) and the lowest SE (6.336). Therefore, controlling the customer response time variable to a maximum of 25 minutes and the menu unavailability variable to 15 occurrences per week will result in higher stability of the case study inventory turnover.

Supply Chain Risk Management Design for U-Hansa Product in Relation to Covid-19 Pandemics Friesca Erwan; Prima Denny Sentia; Zaty Fadhilla; Didi Asmadi; Raihan Dara Lufika; Rizki Agam Syahputra
Operations Excellence: Journal of Applied Industrial Engineering Vol. 14, No. 2, (2022): OE JULY 2022
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2021.v13.i2.057

The recent Covid-19 pandemics situation has brought a lot of discussion on how to manage a supply chain in uncertainty since the dynamic of pandemics risk has altered the way a supply chain is organized. This research aims to identify, asses and manage the possible risks on supply chain that may occur in relation to production process of U-Hansa (USK Hand Sanitizer) following a high demand of hand sanitizer during the pandemics. This research performed risk breakdown structure to identify risks, evaluated the risks using risk matrix 5x5 (MIL-STD-882B) and create risk mapping using the big picture approach. This research revealed that there are 15 risks involved in U-Hansa production process that can potentially disrupt the whole supply chain process of U-Hansa. Factors such as raw material shortage during the Covid-19 lockdown, insufficient production capacity and the limitation of machinery and equipment to support the production contributes to the noticeable risk potential in the overall U-Hansa supply chain network. The overall findings of this research are expected to help the decision-making process that can be utilized in the post-Covid-19 pandemics setting.

Supply Chain Risk Mapping at ABC Cement Plant in Aceh, Indonesia Raihan Dara Lufika; Hasan Yudie Sastra; Prima Denny Sentia; Ilyas Ilyas; Iskandar Hasanuddin
Aceh International Journal of Science and Technology Vol 11, No 2 (2022): August 2022
Publisher : Graduate Program of Syiah Kuala University

Supply Chain Risk Management is an industry collaboration work with partners in the supply chain system to implement a risk management process in dealing with the emergence of risks and uncertainties caused by logistics activities or other resources in the supply chain. Every industry deals with risk. This study aims to identify, classify, and mapping supply chain activities and their risks. At the initial stage, the identification of supply chain events is done by doing interviews and brainstorming. Then, these events are portrayed in the supply chain map. Then, the risk identification stage used a rating scale to determine the level of likelihood and consequence based on three SCOR elements. There are 40 risk events in this study which are 13 risk events in the source section, 19 risk events in the make section, and eight risk events in the delivery section. Finally, it is necessary to calculate the value of the Risk Priority Index (RPI). The RPI is the basis of the risk mapping stage. The risk map will show the urgency to treat each risk event.

The Analysis Of Influential Factors Of Halal Supply Chain Management Implementation In Banda Aceh's Hotels Sentia, Prima Denny; Zuhri, Sarika; Asmadi, Didi; Farhan, Farhan
AMWALUNA (Jurnal Ekonomi dan Keuangan Syariah) Vol 6, No 1 (2022)
Publisher : Univeristas Islam Bandung

Aceh is a province in Indonesia that implements Islamic law in its territory and is regulated by Qanun decree. Aceh Qanun No. 8/2016 confirms the determination of the halal product guarantee system. However, the Qanun lacks presenting, regulating, and providing Halal Supply Chain Management (HSCM). The data used in this research was obtained and observed from several Hotels in Banda Aceh that have implemented Halal Certification accreditation. This Research aims to implement multiple linear regression as an approach to review the implementation of HSCM at hotel food service by looking at the interrelationship of the contributing factor in HSCM. There are seven relationships between variables that form hypotheses, namely halal management, quality and hygiene of halal food, halal warehousing, halal transportation, halal raw materials, halal production facilities, and halal suppliers. ANOVA testing (F-test) shows that all factors influence HSCM. However, Partial testing (T-test) shows that the most influential factors on HSCM are given by halal management and halal warehousing.

Co-Authors Andriansyah ANDRIANSYAH Andriansyah Andriansyah Andriansyah Andriansyah andriansyah, andriansyah Asmadi, Didi Chairil Akbar Dewi Mulyati Didi Asmadi Erwan, Friesca Farhan Farhan Friesca Erwan Hasan Yudie Sastra Heni Pujiastuti Hidayaturrahmi, Hidayaturrahmi Ilyas Ilyas Ilyas Ilyas Ilyas Ilyas Ilyas Iskandar Hasanuddin Iskandar Iskandar Lufika*, Raihan Dara Lufika, Raihan Dara Medyan Riza Muthmainnah, Annisa Nanda Saputra Nissa Prasanti Noprita, Zikra Raihan Dara Lufika Raihan Dara Lufika Ramadani, Regita Regita Ramadani Riyan Haikal Riyan Haikal Rizki Agam Syahputra Rizky Novatama Sastra, Hasan Yudie Wyona Allysha Rustandi Putri Zaty Fadhilla Zuhri, Sarika Zuhri, Sarika Zulfami A

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