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All Journal Jurnal Teknik Industri Jurnal Sistem Teknik Industri International Journal of Industrial Optimization (IJIO) Research in the Mathematical and Natural Sciences
Ibrahim, Faisal
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Mathematics

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Integrated Supply Chain Contract Model With Drop-Shipper Players Ibrahim, Faisal
Jurnal Teknik Industri Vol 19, No 1 (2018): Februari
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (531.444 KB) | DOI: 10.22219/JTIUMM.Vol19.No1.58-72

Abstract

In this paper, we developed model integrated supply chain model with drop-shipper players.  The aim of the study is to integrate players in the supply chain system that one of its players is a drop shipper. This coordination model considers the policy of late payment and prosecution for delivery of goods. Previous, The author has described the supply chain system in detail. The experiments were conducted into different case scenarios, where each scenario would represent the actual system that occurred. Then also conducted sensitivity analysis on some predicted variables significantly influence the total cost of the supply chain. From the results obtained, it can be concluded that coordination with consideration of delay in payment and penalty contract for drop ship has successfully integrated the players in the supply chain system under study. This can be proved by the lower total cost of the supply chain when it is integrated with that consideration.
Model Hub Median Problem Dengan Batasan Travel Time Ibrahim, Faisal; Rusdiansyah, Ahmad
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 | Full PDF (366.768 KB) | 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.
Marketing strategy planning at alfamart lodadi stores using the clustering, ahp, and ar-mba method Azhra, Fariza Halidatsani; Fadhlurrohman, Najib; Putra, Bagas Swardhana; Ibrahim, Faisal
International Journal of Industrial Optimization Vol 2, No 2 (2021)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/ijio.v2i2.4361

Abstract

Nowadays, people are very facilitated by the existence of various shopping centers, including retail. Because many retailers are close to each other, Alfamart Lodadi must have a good marketing strategy. So far, the strategy used is sometimes inaccurate because it is not based on customer segmentation.  Therefore, the purpose of this research is to help retail owners to make decisions regarding the right marketing strategy with three methods so that Alfamart Lodadi can compete and increase sales. The Analytical Hierarchy Process (AHP) is employed to find the priority variables of customer segmentation; meanwhile, the K-Means Clustering is used to group customers based on the similarity of predetermined characteristics. AR-MBA is used to find out the best rules, and products are rarely, sufficient, and frequently purchased.  The results of this research, based on AHP, obtained five segmentation priority variables based on the largest eigenvector values. There are income, age, expenditure, distance, and shopping intensity with each eigenvector value of 0.13; 0.16; 0.12; 0.12; 0.17. From clustering, there are three customer clusters with different strategies, including free shipping when shopping, product discounts for certain periods, and providing catalogs and discounts on each transaction and offer notifications. Then, this research also obtained three strategies based on AR-MBA. These include making a catalog by bringing frequently purchased products closer together, choosing a layout for shopping places by bringing frequently purchased products closer together, and making shopping coupons for rarely purchased products. With several strategic choices, companies can make decisions appropriately according to the desired criteria.
Analysis of marketing strategy at setia stores using ahp, clustering, and ar-mba method Ibrahim, Faisal; Putra, Bagas Swardhana; Azhra, Fariza Halidatsani; Fadhlurrohman, Najib
International Journal of Industrial Optimization Vol 2, No 2 (2021)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/ijio.v2i2.4369

Abstract

A company can survive and thrive when the strategies and processes applied in its business are correct. One of the processes in determining strategy in decision making. The owner of Setia Store has difficulty in choosing a marketing strategy. The product layout shows this in the Setia Store, which confuses customers. Setia Store also rarely offers a promotion, making it difficult to compete with competitors. This study aims to help Setia Store increase sales by determining the right marketing strategy. To determine the right marketing strategy, there are three methods developed. First of all, the analytical hierarchy process (AHP) is employed to find the customer priorities. Then, clustering is proposed to find potential marketing targets that have similar characteristics from the results of the AHP method. Third, association rule-market basket analysis (AR-MBA) is developed to find the best rules for product marketing strategy. The first method shows that the housewives (EV=0.6270) are Setia Store's priority customers from the three methods. Second, cluster 3 (which has three characteristics in common) is a very potential target market. Third, the best rule is to buy products from departments 2 and 3 (Confidence 60%, Support 12%). From these results, the right marketing strategy is to create a buy 1 get 1 promo banner or label for products that are rarely purchased, such as household appliances. Then, create a catalog by bringing together frequently purchased products such as spices and food ingredients. Finally, improve the layout by bringing the departmental shelves closer to frequently purchased products.
Determination Strategy for Controlling Bloodstock Components Packed Red Cell Using Monte Carlo Simulation Hanif Awandani; Helia, Vembri Noor; Ibrahim, Faisal
Jurnal Sistem Teknik Industri Vol. 24 No. 1 (2022): JSTI Volume 24 Number 1 January 2022
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v24i1.7746

Abstract

Blood supply is an important part that is very influential on health because almost all blood types are necessary for medical activities. This condition makes blood management very important, but improper blood management can cause a waste that results in huge final costs and causes losses for both the customer and the blood supplier. In this case, Monte Carlo simulation can be used to develop several policies that can optimize blood inventory levels and minimize inventory costs at Indonesian Red Cross XYZ. In this simulation, input data required are blood donor supply and Packed Red cells (PRC) demand data, this data will be used to determine the shortage and expired rate. From simulation will be obtained shortage rate of 33 blood bags and an expired rate of 75 blood bags with inventory cost Rp. 36,226,964. Monte Carlo simulation will make new policy rules with increasing the supply of whole blood (WB) which will be used as a component of the PRC and reducing the supply level. From these simulation results, the best policy will gain and applied at PMI XYZ to optimize inventory cost.
Deskripsi Pemahaman Konsep Kubus dan Balok Melalui Pembelajaran Daring Ibrahim, Faisal; Ismail, Sumarno; Ismail, Yamin
Research in the Mathematical and Natural Sciences Vol. 3 No. 2 (2024): May-October 2024
Publisher : Scimadly Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55657/rmns.v3i2.167

Abstract

This study aims to describe students understanding of mathematical concepts through online learning for students of SMP Negeri 1 Suwawa regarding the concepts of cubes and cuboids. This research is descriptive with a quantitative approach. The subjects of this study were 35 students from classes VIII of SMP Negeri 1 Suwawa. The instrument used was essay questions. The research data were obtained from the results of the essay test. The results showed that the understanding of cubes and cuboids for class VIII was categorized as low for 28.57% of the students, medium for 63%, and high for 9%.
Co-Authors Ahmad Rusdiansyah Azhra, Fariza Halidatsani Fadhlurrohman, Najib Hanif Awandani Putra, Bagas Swardhana Sumarno Ismail Vembri Noor Helia, Vembri Noor Yamin Ismail