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Ahmad Rusdiansyah
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering

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Pengembangan Rancang Bangun Game Edukasi Logistik "Stowagame" Mengenai Penataan Kontainer Di Bay Kapal Hendriyono Rachman; Ahmad Rusdiansyah
Jurnal Teknik Industri Vol. 13 No. 1 (2012): Februari
Publisher : 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

Abstract

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.
Model Hub Median Problem Dengan Batasan Travel Time Faisal Ibrahim; Ahmad Rusdiansyah
Jurnal Teknik Industri Vol. 18 No. 1 (2017): Februari
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol18.No1.1-8

Abstract

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.
Penentuan Jumlah dan Kombinasi Jenis Kendaraan dengan Saving Heuristik pada Perusahaan Jasa Logistik Pihak Ketiga Ahmad Rusdiansyah; A Aryusamalia
Jurnal Teknik Industri Vol. 8 No. 2 (2007): Agustus
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol8.No2.172-178

Abstract

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.
Co-Authors A Aryusamalia Faisal Ibrahim Hendriyono Rachman