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Penentuan Jumlah dan Jenis Monorail Jalur Kampung Melayu-Roxy pada Berbagai Skenario Jumlah Penumpang Menggunakan Simulasi ProModel Berdasarkan Biaya yang Terbaik Mirna Lusiani
JIEMS (Journal of Industrial Engineering and Management Systems) Vol 3, No 1 (2010): Journal of Industrial Engineering and Management Systems (JIEMS)
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/jiems.v3i1.69

Abstract

Determination Types and Number of Trains Kampung Melayu-Roxy Monorail With Level Number Of Passengers Distribution Scenario Using Promodel Simulation Based On The Optimal Cost. Monorail is one of the solution to solve the traffic problem in the city of Jakarta. This project developed to be an alternative of mass public transportation service for the citizens in Jakarta. In order to be able to serve the passengers during peak time, the project need to have a research in term of the optimal total number of trains and type to be used. In this research, had chose the types and the total number of trains Kampung Melayu-Roxy with the level number of passengers distribution scenario based on the optimal cost using simulation. Scenario for the number of passengers per hour based on peak hour. Data gathered from variety sources such as consultant, suppliers, and media. Data required to developed a model, based on the observation of the Busway corridor Blok M-Kota. After developed the model, the next step is to simulated each type on each passengers distribution scenario to obtained the total number of trains and the headway. Selection based on incremental internal rate of return between two type on each scenario. Based on simulation and calculation result obtained that small type is the type of monorail that had been chose for monorail project at Kampung Melayu-Roxy line on several number of passengers scenario, with the description are scenario 1 with 10 units, scenario 2 with 14 units, scenario 3 with 15 units, and scenario 4 with 20 units.
Optimasi Alokasi Produk pada Ruang Rak Displai Gerai Minimarket Berdasarkan Harga Produk Menggunakan Multilevel Association Rules Mirna Lusiani
JIEMS (Journal of Industrial Engineering and Management Systems) Vol 4, No 2 (2011): Journal of Industrial Engineering and Management Systems (JIEMS)
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/jiems.v4i2.88

Abstract

Optimization of Products Shelf Space Allocation Based on Product Price Using Multilevel Association Rules. Product allocation, product assortment, and product price have a significant influence on customer buying behavior. With limitation on shelf space, retailer must select, pricing, and allocate the products on shelf space optimally to maximize the profit for retailer. This research is focused on optimizing the products shelf space allocation based on the relationship between product categories and product price using data mining technique, multilevel association rules. Takes advantage of data transactions, 9 associations between categories, 24 associations between subcategories, and 67 associations between products were obtained. By using zero one integer programming selected 61 products with appropriate price that must be maintained to be allocated in the minimarket to maximize the retailer’s profit. The result, product allocation configuration based on the relationship between product categories and product price is shown.Keywords: Product Allocation, Data Mining, Multilevel Association Rules, Zero One Integer Program, Pricing
Analisis Sistem Antrian pada Bengkel Mobil Menggunakan Simulasi Mirna Lusiani; Ryan Adiputra Irawan
JIEMS (Journal of Industrial Engineering and Management Systems) Vol 9, No 2 (2016): Journal of Industrial Engineering and Management Systems (JIEMS)
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/jiems.v9i2.41

Abstract

In this globalization era we are encouraged to do something with effectively and easily, because the time becomes an important thing in supporting the public activities. Companies should give a good service for customer without reducing its quality with an efficient cost consideration. Because of it the company should is obliged to reduce the queue so the queue will be more effective than before and will increas the customer satisfaction. This study uses a simulation analysis to determine the queue in actual system. This simulation requires primary and secondary data (observations) on every stall in car repair shop. The next step after we know the problem from the queue simulation is creating an improvement simulation to change the process in queue, and reducing or increasing the existing stall on the actual system. The result obtained from data processing and analysis, it was found some problems that happen in the real queue system such as full capacity on some stall. Stall that needed to be improve are Spooring Stall, External Service Stall, and Washing Stall. And then the next step is doing some improvement to change the process from SBEK and SBIK to Spooring Stall into Spooring Stall to SBEK and SBIK. The second improvement is adding SBE Stall and Spooring Stall by reducing 2 SBI Stall.The conclusion in this study are the increasing amount of the output, from first improvement it increases to 115 entities and from second improvement it increases to 143 entities. Then the total time of entities in the system decreased from 456.299,47 second into 310.597,57 second dan 359.925,65 second for each improvement.Keywords: Queue, Simulation, Operations research
Pengalokasian Produk pada Ruang Rak Displai Gerai Minimarket Menggunakan Multilevel Association Rules Mirna Lusiani
JIEMS (Journal of Industrial Engineering and Management Systems) Vol 6, No 1 (2013): Journal of Industrial Engineering and Management Systems (JIEMS)
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/jiems.v6i1.93

Abstract

Product allocation and product assortment have a significant influence on customer buying behavior. With limitation on shelf space, retailer must determine the customer buying behavior to maximize the profit for retailer. This research is focused on the products shelf space allocation based on the association between product categories and subcategories using data mining technique, multilevel association rules. Takes advantage of data transactions, 4 associations between categories and 11 associations between subcategories products were obtained. The degrees of activity relationship between categories from 4 associations obtained by Activity Relationship Chart method. The result, product allocation configuration based on the associations between product categories and degree of activity relationship is shown.Keywords: Product Allocation, Data Mining, Multilevel Association Rules, Activity Relationship Chart
Penentuan Jumlah Kedatangan Armada Optimal KRL Commuter Line Jalur Bekasi-Manggarai untuk Skenario Kenaikan Jumlah Penumpang Menggunakan Simulasi ProModel Mirna Lusiani; Efod Phalen
JIEMS (Journal of Industrial Engineering and Management Systems) Vol 8, No 2 (2015): Journal of Industrial Engineering and Management Systems (JIEMS)
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/jiems.v8i2.122

Abstract

KRL Commuter Line kini merupakan primadona baru dalam bidang transportasi darat bagi masyarakat Jabodetabek. Dengan ongkos yang relatif murah membuat angkutan ini menjadi pilihan utama penumpang di Jabodetabek. Pengelolaan dan penjadwalan KRL CL pun sangat diperlukan demi terciptanya kepuasan pelanggan yang setia menggunakan jasa angkutan ini dalam kesehariannya. Penelitian ini dibuat guna mengurangi antrian penumpang yang terdapat pada setiap stasiun. Dalam penelitian ini penulis melakukan penentuan jumlah kedatangan armada optimal untuk skenario kenaikan jumlah penumpang yang telah diasumsikan oleh penulis yaitu sebesar 25%, 50%, dan 75%. Skenario dibuat berdasarkan jumlah penumpang dari Bekasi sampai Manggarai yang didapat melalui observasi. Data dikumpulkan dengan melakukan observasi lapangan dengan melakukan perhitungan jumlah kedatangan penumpang di setiap stasiun dan juga perhitungan jumlah penumpang turun di setiap stasiun. Model dibuat berdasarkan data yang telah dikumpulkan dan diolah, dan disimulasikan pada masing-masing skenario sehingga diperoleh jumlah dan waktu antar kedatangan KRL yang sesuai. Pemilihan dilakukan berdasarkan jumlah penumpang yang terangkut dari masing-masing simulasi. Dari penelitian diperoleh hasil, untuk skenario 1 digunakan 12 kedatangan krl dengan headway sebesar 600 detik, skenario 2 digunakan 13 kedatangan krl dengan headway sebesar 540 detik dan untuk skenario 3 digunakan 14 kedatangan krl dengan headway sebesar 540 detik.Keywords: Simulasi, Model, Antrian