Articles
<![CDATA[Pengembangan Rancang Bangun Game Edukasi Logistik "Stowagame" Mengenai Penataan Kontainer Di Bay Kapal ]]>
<![CDATA[Rachman, Hendriyono]]>;
<![CDATA[Rusdiansyah, Ahmad]]>
<![CDATA[ Jurnal Teknik Industri Vol 13, No 1 (2012): Februari ]]>
Publisher : <![CDATA[Department Industrial Engineering, University of Muhammadiyah Malang ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (600.109 KB)
|
DOI: 10.22219/JTIUMM.Vol13.No1.67-77
<![CDATA[Development of educational games focuss on the problem occured on bay management, primarily on loading container at ship bay. The loading plan problem in ship bay commonly known as Master Bay Plan Problem (MBPP). The complexity of MBPP can be seen on its constraints, that are container weight, container destination, container size, container type, and the arrangement rule of container. The study case and playing rules in this game development are adjusted to contextual theory and real situation occured in container arrangement at ship bay. The prototype of this game is called StowaGame. StowaGame is a simulation-based educational games related to container arrangement in ship bay. This software are built with the integration of MBPP and entertainment concept. The effectivity of this educational game will be tested by several player. The MBPP concept of each player will be tested before and after playing the game. Paired-t test calculation shows that p-value is less than 0,05. Thus, it can be concluded that the educational game can educate people with container arrangement concept in ship bay.]]>
<![CDATA[Penentuan Jumlah dan Kombinasi Jenis Kendaraan dengan Saving Heuristik pada Perusahaan Jasa Logistik Pihak Ketiga ]]>
<![CDATA[Rusdiansyah, Ahmad]]>;
<![CDATA[Aryusamalia, A]]>
<![CDATA[ Jurnal Teknik Industri Vol 8, No 2 (2007): Agustus ]]>
Publisher : <![CDATA[Department Industrial Engineering, University of Muhammadiyah Malang ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (1175.364 KB)
|
DOI: 10.22219/JTIUMM.Vol8.No2.172-178
<![CDATA[PT XYZ is company of logistics service of PT CI where this company hold responsible to logistics activity of PT CI that is covering distribution and warehousing. In transportation activity PT XYZ conducted armada outsourcing transport from some transporter every day. A problem faced in this time was truck rent expenses for the delivery of order to store. Hypothesis customer early from this research was if it done consolidation delivery of order customer, hence expected will be yielded to decrease cost rent daily truck which enough significant. At this research, consolidation conducted by developing method of saving heuristic. By using data of customer was same order on February, 10 2006, this research can reduce consumer of truck counted 3 truck and yield cost-saving rent equal to 18.87% from expense of early. This research also design software prototype for daily operational activities in determining used truck.]]>
<![CDATA[Joint Economic Lot Sizing Optimization in a Supplier-Buyer Inventory System When the Supplier Offers Decremental Temporary Discounts ]]>
<![CDATA[Sari, Diana Puspita]]>;
<![CDATA[Rusdiansyah, Ahmad]]>
<![CDATA[ J@ti Undip : Jurnal Teknik Industri Volume 3, No.3, September 2008 ]]>
Publisher : <![CDATA[Departemen Teknik Industri, Fakultas Teknik, Universitas Diponegoro ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (436.302 KB)
|
DOI: 10.12777/jati.3.3.214-225
<![CDATA[This research discusses mathematical models of joint economic lot size optimization in a supplier-buyer inventory system in a situation when the supplier offers decremental temporary discounts during a sale period. Here, the sale period consists of n phases and the phases of discounts offered descend as much as the number of phases. The highest discount will be given when orders are placed in the first phase while the lowest one will be given when they are placed in the last phase. In this situation, the supplier attempts to attract the buyer to place orders as early as possible during the sale period. The buyers will respon these offers by ordering a special quantity in one of the phase. In this paper, we propose such a forward buying model with discount-proportionally-distributed time phases. To examine the behaviour of the proposed model, we conducted numerical experiments. We assumed that there are three phases of discounts during the sale period. We then compared the total joint costs of special order placed in each phase for two scenarios. The first scenario is the case of independent situation – there is no coordination between the buyer and the supplie-, while the second scenario is the opposite one, the coordinated model. Our results showed the coordinated model outperform the independent model in terms of producing total joint costs. We finally conducted a sensitivity analyzis to examine the other behaviour of the proposed model. Keywords: supplier-buyer inventory system, forward buying model, decremental temporary discounts, joint economic lot sizing, optimization.  ]]>
<![CDATA[A crow search algorithm for aircraft maintenance check problem and continuous airworthiness maintenance program ]]>
<![CDATA[Siswanto, Nurhadi]]>;
<![CDATA[Adianto, Asyraf Nur]]>;
<![CDATA[Prawira, Hasan Aji]]>;
<![CDATA[Rusdiansyah, Ahmad]]>
<![CDATA[ Jurnal Sistem dan Manajemen Industri Vol. 3 No. 2 (2019) ]]>
Publisher : <![CDATA[Universitas Serang Raya ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (524.951 KB)
|
DOI: 10.30656/jsmi.v3i2.1794
<![CDATA[This research discusses the maintenance problem of a small commerÂcial aircraft with propeller engine, typed ATR-72. Based on the mainÂÂtenance records, the aircraft has average 294 routine activities that have to be monitored and done based on determined threshold interval. This research focuses on developing a metaÂheuristic model to optimize the aircraft’s utility, called Crow Search Algorithm (CSA) to solve the Aircraft Maintenance Problem (AMP). The algorithm is developed and tested whether a younger metaÂheuristic method, CSA, is able to give better performance comparÂed to the older methods, Particle Swarm Optimization (PSO) and other hybriÂdized method PSO with Greedy Randomized Adaptive Search Optimization (PSO-GRASP). Several experiments are performed by using parameters: 1000 maximum iteration and 600 maximum computaÂtion time by using four dataset combinations. The results show that CSA can give better performance than PSO but worse than PSO-GRASP.]]>
<![CDATA[Model Hub Median Problem Dengan Batasan Travel Time ]]>
<![CDATA[Ibrahim, Faisal]]>;
<![CDATA[Rusdiansyah, Ahmad]]>
<![CDATA[ Jurnal Teknik Industri Vol 18, No 1 (2017): Februari ]]>
Publisher : <![CDATA[Department Industrial Engineering, University of Muhammadiyah Malang ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (366.768 KB)
|
DOI: 10.22219/JTIUMM.Vol18.No1.1-8
<![CDATA[This article describes the development of an uncapacitated p-hub median problem model. The established model will be applied in determining the location of the hub. Generally in the median p-hub model problem, it is known that the number of hubs built with the total cost minimization function. In this developed model, there is no limit to the number of hubs and the function of the intended destination is how many hubs are built. The model also looks for where the hub location will be built and which nodes are allocated to each hub. By eliminating the limitation of the number of hubs built, the model adds a total total timeout limit. The numerical experiments are dealing with the model. The solution to solve the model using excel solver. So that it will be designed spread sheet excel appropriate model. In numerical experiments, dummy data representing real systems will be used with the aim of shortening computational time. Numerical experiments are performed in several conditions scenarios. Computational results generate the location of hubs and nodes allocated to each hub with various experimental scenarios.]]>
<![CDATA[Development of Benefit-risk Evaluation and Mitigation Systems in the Selection of Logistics Third Party Companies ]]>
<![CDATA[Rusdiansyah, Ahmad]]>;
<![CDATA[Pratama, Della Deswiana]]>;
<![CDATA[Ibrahim, Muhammad Faisal]]>
<![CDATA[ Jurnal Teknik Industri Vol 21, No 1 (2020): February ]]>
Publisher : <![CDATA[Department Industrial Engineering, University of Muhammadiyah Malang ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
<![CDATA[In this era, companies to transfer some of their logistical functions to third party logistics (3PL). In this study, a risk evaluation, and mitigation system at the initiation of collaboration with third-party logistics companies for agricultural chemical industry companies were developed. The basic model used in system development is House of Risk combined with SOAR methodology and scenario analysis. This system is used for consideration in decision making by evaluating and giving suggestions on the extent to which the use of 3PL is used to resolve company problems due to risk. The risk evaluation and mitigation system at the initiation of cooperation with a third-party logistics company in the agrochemical industry were successfully developed. The system consists of four processes (risk identification, risk analysis, risk evaluation, and risk response) compiled based on the ISO 31000: 2009 framework]]>
<![CDATA[A Three-Phased Perishable Inventory Simulation Model with Quality Decrease Consideration ]]>
<![CDATA[Ibrahim, Muhammad Faisal]]>;
<![CDATA[Mardhiyyah, Yunita Siti]]>;
<![CDATA[Rusdiansyah, Ahmad]]>;
<![CDATA[Boer, Meidina Kalse]]>;
<![CDATA[Utama, Dana Marsetiya]]>
<![CDATA[ Jurnal Ilmiah Teknik Industri Vol. 19, No. 02, December 2020 ]]>
Publisher : <![CDATA[Department of Industrial Engineering Universitas Muhammadiyah Surakarta ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.23917/jiti.v19i2.11769
<![CDATA[In this article, focus on the simulation of a three-phase perishable product inventory system of a SMEs selling fresh and processed milkfish. This research was conducted to simulate a perishable product inventory system to understand and analyze the problems that occur then propose solutions to fix them. The simulation model was developed with ARENA software, simulation results of the existing condition show that there is 162 kg/month waste in fresh fish, 158 pcs/month in processed product A, and 86 pcs/month in processed product B. A model with a product renewal process mechanism was proposed to overcome this problem, and seven improvement scenarios were developed. The results obtained from the seventh improvement scenario revealed that there was a 100% reduction in fresh fish and processed product B and 94% in processed product A. Besides, there was a saving in need for fresh fish supply of 10 kg/day. In this article, we show how ARENA software can be adopted to simulate inventory system problems effectively. The method in this research can be applied to investigate various supply system scenarios and their consequences before implementing it in a real system.]]>
<![CDATA[A crow search algorithm for aircraft maintenance check problem and continuous airworthiness maintenance program ]]>
<![CDATA[Nurhadi Siswanto]]>;
<![CDATA[Asyraf Nur Adianto]]>;
<![CDATA[Hasan Aji Prawira]]>;
<![CDATA[Ahmad Rusdiansyah]]>
<![CDATA[ Jurnal Sistem dan Manajemen Industri Vol. 3 No. 2 (2019) ]]>
Publisher : <![CDATA[Universitas Serang Raya ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (524.951 KB)
|
DOI: 10.30656/jsmi.v3i2.1794
<![CDATA[This research discusses the maintenance problem of a small commercial aircraft with propeller engine, typed ATR-72. Based on the maintenance records, the aircraft has average 294 routine activities that have to be monitored and done based on determined threshold interval. This research focuses on developing a metaheuristic model to optimize the aircraft’s utility, called Crow Search Algorithm (CSA) to solve the Aircraft Maintenance Problem (AMP). The algorithm is developed and tested whether a younger metaheuristic method, CSA, is able to give better performance compared to the older methods, Particle Swarm Optimization (PSO) and other hybridized method PSO with Greedy Randomized Adaptive Search Optimization (PSO-GRASP). Several experiments are performed by using parameters: 1000 maximum iteration and 600 maximum computation time by using four dataset combinations. The results show that CSA can give better performance than PSO but worse than PSO-GRASP.]]>
<![CDATA[Metode QFD dan TRIZ dalam Perancangan Kontainer Berpendingin pada Sepeda Motor sebagai sarana Penjualan dan Pengantaran Sayuran ]]>
<![CDATA[Ratna Sari Dewi]]>;
<![CDATA[Ahmad Rusdiansyah]]>;
<![CDATA[Farhan Herdiansyah]]>
<![CDATA[ invotek Vol 20 No 1 (2020): INVOTEK: Jurnal Inovasi Vokasional dan Teknologi ]]>
Publisher : <![CDATA[Universitas Negeri Padang ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (745.187 KB)
|
DOI: 10.24036/invotek.v20i1.752
<![CDATA[The freshness of vegetables cannot always be sustained because vegetables are one of the perishable horticultural products. The decline of freshness of these vegetables is due to physical, chemical, and physiological factors which appear naturally after the harvesting process. To ensure the freshness of vegetables when distributed, refrigerated containers were designed in this study by combining the Quality Function Deployment (QFD) and Teoriya Reshenia Izobretatelskikh Zadatch (TRIZ). To get the voice of customer as the main input in the QFD method, interviews were conducted to 10 vegetable producers in Indonesia as potential consumers of designed refrigerated container products. Contradictions that arise between several technical responses in QFD are resolved by the TRIZ method. As the final result, this study recommends 12 target specifications that can be implemented on the prototype of the designed refrigerated container.]]>
<![CDATA[Pengembangan Algoritma Hybrid Metaheuristik untuk Menyelesaikan Permasalahan Penjadwalan Perawatan Pesawat ]]>
<![CDATA[Nurhadi Siswanto]]>;
<![CDATA[Asyraf Nur Adianto]]>;
<![CDATA[Hasan Aji Prawira]]>;
<![CDATA[Ahmad Rusdiansyah]]>
<![CDATA[ Matrik : Jurnal Manajemen dan Teknik Industri Produksi Vol 20 No 2 (2020) ]]>
Publisher : <![CDATA[Prodi Teknik Industri Universitas Muhammadiyah Gresik ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.30587/matrik.v20i2.1050
<![CDATA[Aircraft Maintenance Problem (AMP) merupakan permasalahan penentuan jadwal kegiatan perawatan pesawat. AMP memiliki dua jenis kegiatan perawatan yang akan diteliti yaitu inspeksi dan continuous airworthiness maintenance programs (CAMP). Penelitian ini membandingkan kinerja antara metode Particle Swarm Optimization (PSO) dengan metode Crow Search Algorithm (CSA). Kedua metode tersebut dihibridisasikan dengan Greedy Randomized Adaptive Search Procedures (GRASP) untuk menyelesaikan AMP. Penelitian ini memiliki tujuan yaitu untuk menentukan jumlah periode yang diperlukan untuk perawatan pesawat dan menentukan tugas atau jenis inspeksi dan CAMP yang harus dilakukan dalam setiap periode serta menentukan metode yang ideal untuk menyelesaikan AMP. Permasalahan AMP sendiri merupakan permasalahan kombinatorial yang dapat dikategorikan sebagai permasalahan NP-Hard. Metode metaheuristik digunakan untuk memastikan proses optimasi dapat diselesaikan dengan waktu yang singkat. Percobaan dilakukan menggunakan 16 kondisi dengan empat dataset yang dihasilkan secara acak. Hasil percobaan komputasi menunjukkan bahwa PSO-GRASP mengungguli CSA-GRASP untuk jumlah inspeksi yang lebih tinggi.]]>
