Azizah Aisyati
Universitas Sebelas Maret

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ANALISIS LOYALITAS MEREK PADA PRODUK SEPEDA MOTOR MENGGUNAKAN MARKOV CHAINS Rosyidi, Cucuk Nur; Aisyati, Azizah; Ramadhani, Fitria
Industrial and Systems Engineering Assessment Journal (INASEA) Vol 13, No 1 (2012): INASEA Vol. 13 No. 1
Publisher : Industrial and Systems Engineering Assessment Journal (INASEA)

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Abstract

The aim of this research is to analyze the probability of customer to switch from one brand of motorcycle to another. In this research, Markov Chains is used to analyze the switching probability. This research begins with identification of the initial marketing variables. In order to analyze brand loyalty with Markov Chains, three types of motorcycle from economic under-bone class (110-115cc) have been selected namely Absolute Revo, Vega ZR, Smash Titan and other types outside the class are used as comparison. Mann Whitney U Test is used to examine whether there are differences on marketing variables between men and women when selecting their motorcycle. The result of this research shows that the most loyal customer is in the type of motorcycle outside the economic underbone class. The most affecting variables that determine the existing motorcycle preferences is the availability of spareparts and the number of authorized service center for Absolute Revo, comfortable while driving for Vega ZR, and reliability motorcycle engine for Smash Titan and other types. The most variables that determine switching to another type of motorcycle is the product innovation. The results of Mann Whitney U test show that there are significant differences in marketing variables between male and female in existing motorcycle preferences which are motorcycle design and engine specifications.
Pengelolaan Supply Produk Waferstick dengan Mempertimbangkan Kapasitas Produksi dan Persediaan Barang Jadi di PT. Tiga Pilar Sejahtera Food,Tbk -, Yuniaristanto; Aisyati, Azizah; Hariyanto, Tri
Performa: Media Ilmiah Teknik Industri Vol 6, No 2 (2007): PERFORMA Vol. 6, No. 2 September 2007
Publisher : Industrial Engineering Study Program, Faculty of Engineering, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (168.598 KB) | DOI: 10.20961/performa.6.2.12954

Abstract

In general, planning supply use the information from combination varying capacity and inventory to plan the aggregate rates of production by time period for groups of product. This research objective is PT. Tiga Pilar Sejahtera’s (TPS) that produces wafersticks. In the company sometimes occured the wafersticks product can be not fulfilled. This is happened because waferstick inventory unstable. This causes problems that PT. Tiga Pilar Sejahtera (TPS) was less capable to fulfill the market’s demands. To solve this PT TPS should be managing the working hours, workforces, production capacity and finished goods inventory, they are called aggregate planning. This research are determine safety stocks, planning supply and material inventory planning.Managing supply of waferstick product is started by forecast the demand. The forecast result is used to estimate safety stock of waferstick. Then the forecasting result and safety stock become of input Integer linier programming model to determine aggregate planning. The aggregate planning is used to find optomal lot size of waferstick raw material. Then lot sizing become input Planned Order Receipt in the Material Planning Requirements (MRP). Forecast method used to forecast the demand is decomposition, this method is he best method find estimation demand because it have more less MAD than the other. The determination of the safety stock is actually more accurate with the 90% by Romy & Yuli waferstick safety inventory is 1106 cartons and 2364 cartons for Pio. From aggregate planning there is back order in 13 th is 11 cartons. The planning cost for Romy & Yuli waferstick Rp 625.670.902,33 and Cost for Pio waferstick Rp 1.462.296.180,00. Waferstick material planning by optimal lot size between 695 kilograms up to 8487 kilograms by waferstick materials cost is Rp 6.315.520,00.
Model Pengukuran Kinerja dengan Menggunakan Metode Integrated Performance Measurement Systems dan Analytical Hierarchy Process Aisyati, Azizah; Jauhari, Wakhid Ahmad; Mulyaningtyas, Dwiningsih
Performa: Media Ilmiah Teknik Industri Vol 11, No 1 (2012): PERFORMA Vol. 11, No 1 Maret 2012
Publisher : Industrial Engineering Study Program, Faculty of Engineering, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (74.235 KB) | DOI: 10.20961/performa.11.1.12626

Abstract

Performance measurement is important to business organization both manufacturing or service industry, and education. Performance measurement considers all activities and satisfies stakeholder’s requirements. The aim of his research is to design performance measurement in a Department in X University using Integrated Performance Measurement Systems (IPMS) method. IPMS is a performance measurement method that considers stakeholder’s requirements and measure performance integrally. IPMS method generates Key Performance Indicators (KPI) from stakeholder’s requirements by four steps, that are; identification of stakeholder’s requirements, development of external monitor, objectives establishment, and identification of KPs. Each of KPI has difference significance to performancemeasurement system. The significance of each KPI is counted by Analytical Hierarchy Process (AHP). This research results 7 performance measurement perspectives that consist of 15 objectives. The objectives can be measured by 57 KPI (consist of 43 main KPI and 24 sub KPI)
The Development of Order Quantity Optimization Model for Growing Item Considering the Imperfect Quality and Incremental Discount in Three Echelon Supply Chain Sitanggang, Indah Valentinova; Rosyidi, Cucuk Nur; Aisyati, Azizah
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 23 No. 2 (2021): Dec 2021
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.23.2.101-110

Abstract

This research develops an optimization model for determining the order quantity for growing items by considering the imperfect quality and incremental discount by involving three supply chain members: farmers, processors, and retailers. The farmers are responsible for caring for the newborn items until they reach their ready-to-eat weight. The processors perform two roles, namely processing and screening. In the processing role, the processors process the grown items by a slaughtering and packaging process. Afterward, they inspected the processed items and categorized the items into good and poor quality. Finally, they shipped the end products to retailers. The retailers are responsible for selling good-quality items to the final consumers.  This research considers two kinds of poor quality. First is the poor quality of growing items in terms of mortality rate. The second is the poor quality of final products on the processor side. The processed items with poor quality are then sold to the secondary market at lower prices in one batch at the end of the period. This model also considers the incremental discounts offered by vendors to farmers and retailers to consumers for specific amounts of purchases. The model's objective function is to maximize the total supply chain profit, with the number of orders quantity, cycle time, and the number of batches delivery set as the decision variables. The sensitivity analysis results show that the most sensitive parameter in the model is the probability that the live items survive throughout the growth period.