Azizah Aisyati
Universitas Sebelas Maret

Published : 12 Documents
Articles

Found 12 Documents
Search

Pemodelan Lokasi-Alokasi Terminal Bahan Baku untuk Meminimasi Total Biaya Rantai Pasok pada Industri Produk Jadi Rotan

Jurnal Teknik Industri Vol 12, No 1 (2010): JUNE 2010
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Original Source | Check in Google Scholar | Full PDF (165.57 KB)

Abstract

In Surakarta and its surroundings (Solo Raya), there exists more than 400 Small-Medium Enterprises (SMEs) that produce finished products of rattan. Due to the high procurement cost as total operational cost of raw rattan distribution network from the sources, e.g. Borneo and Celebes to the rattan industries, the competitiveness of their products is lower than products from other countries. Therefore, to overcome the problem, those costs should be reduced for example by aggregating the demand of rattan industries. This police needs to be supported by the warehouse for storing and distributing raw rattan. Hence, this research aims to develop a facility location-allocation model so that total supply chain costs, including raw rattan procurement costs as well as facilities opening and closing costs can be minimized. The location-allocation model will be presented in a mixed integer non-linear programming model and solved using MS-Excel Solver. The results are number and location of the warehouse along with the raw rattan allocation in the warehouse to ensure raw rattan supply for rattan industries.

Perancangan Sistem Manajemen Perusahaan Pengembang Perumahan CV. ABC

Performa: Media Ilmiah Teknik Industri Vol 11, No 2 (2012): PERFORMA Vol. 11, No 2 September 2012
Publisher : Program Studi Teknik Industri, Universitas Sebelas Maret

Show Abstract | Original Source | Check in Google Scholar | Full PDF (342.156 KB)

Abstract

CV. ABC is a property developer which hasn’t had a clear system in its business processes and Standard Operational Procedures (SOP) so that causes the company’s jobs become less regular. By this situation, the goals of this research are to design the organizational structure, business process and the SOP for the CV. ABC. The system design is conducted by competitive benchmarking toward a competitor namely CV. Catur Tunggal Sentosa (CTS). Through the competitive benchmarking, it will be designed organizational structure, bussiness process and SOP for CV. ABC. The bussiness process design uses Business Process Improvement (BPI) method which reform steps to improve the earlier business processes. Based on the proposed business process, it is described more detail in SOP to understand and comprehend the job activities in this company. The results of this research are organizational structure, business process and SOP for CV. ABC. The new organizational structure is the line organization structure with the jobs specification are more focus. Those jobs specification are marketing, administration/finance and project. SOP design contains 11 SOP such as site selection, land acquisition, project planning, licensing, promotion, sales by loan, sales by cash, construction bidding, construction control, home handover, and complaints.

ANALISIS LOYALITAS MEREK PADA PRODUK SEPEDA MOTOR MENGGUNAKAN MARKOV CHAINS

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)

Show Abstract | Original Source | Check in Google Scholar

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

Performa: Media Ilmiah Teknik Industri Vol 6, No 2 (2007): PERFORMA Vol. 6, No. 2 September 2007
Publisher : Program Studi Teknik Industri, Universitas Sebelas Maret

Show Abstract | Original Source | Check in Google Scholar | Full PDF (168.598 KB)

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

Performa: Media Ilmiah Teknik Industri Vol 11, No 1 (2012): PERFORMA Vol. 11, No 1 Maret 2012
Publisher : Program Studi Teknik Industri, Universitas Sebelas Maret

Show Abstract | Original Source | Check in Google Scholar | Full PDF (74.235 KB)

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)

Penjadwalan Batch Dinamis Flow Shop Untuk Meminimasi Rata-Rata Keterlambatan Penyelesaian Order (Mean Tardiness) dan Jumlah Scrap Tuang di CV. Kembar Jaya

Performa: Media Ilmiah Teknik Industri Vol 6, No 2 (2007): PERFORMA Vol. 6, No. 2 September 2007
Publisher : Program Studi Teknik Industri, Universitas Sebelas Maret

Show Abstract | Original Source | Check in Google Scholar | Full PDF (163.597 KB)

Abstract

CV. Kembar Jaya is a metal casting manufacturing company which applies Make to Order (MTO) system. It,s characteristic of scheduling is dynamic batch on flow shop production system. This scheduling method has risen the tardiness of order completion and high level of pouring scrap. To solve this problem, a rescheduling procedure which able to increase the system’s performance is needed. To increase the system performance, a development of batch dynamic scheduling algorithm has been done to minimize the mean tardiness and total pouring scrap. The algorithm consists of setting molding area initialization and five sub algorithms. Sub algorithm of sorting order and determinating batch size will sort and breakdown the order into batches. Sub algorithm of molding area repairing will determine molding area allocation for batches. To prevent the drop temperature, sub algorithm of determination pouring time will identify the pouring temperature for batches. Sub algorithm of batch scheduling will schedule batch to work station. Then sub algorithm of rescheduling will accommodate the dynamic environment when order was inserted. Mean tardiness from the scheduling algorithm application is 7.39 hours or minimize mean tardiness until 65.72 %, from the current scheduling algorithm. Application of the scheduling algorithm can reduce total pouring scrap into 0 kg or 100 %.

Perencanaan Produksi Menggunakan Kombinasi Model Integer Linear Programming Dan Model Simulasi (Studi kasus PT. Multi Strada Arahsarana)

Performa: Media Ilmiah Teknik Industri Vol 4, No 2 (2005): PERFORMA Vol. 4 No 2, September 2005
Publisher : Program Studi Teknik Industri, Universitas Sebelas Maret

Show Abstract | Original Source | Check in Google Scholar | Full PDF (192.731 KB)

Abstract

Production planning is a process to determine number of production in a particular period to fulfill consumers orders according to the available production capacity. Production planning by combining Integer Linear Programming (ILP) and simulation is done in iterative way. ILP has an objective function to minimize cost, which has a number of methods, such as reguler production capacity, overtime production capacity and inventory constrain, for each type of tyres for monthly during constraints in three month (January – March 2004). Simulation model representes stochastic events on the production floor, so that actual production capacity is obtained. On each iteration, number of production was compared with the available capacity from the result of simulation model. If the simulated number of production is more than or equal to the available capacity, the iteration need an adjustment capacity. And then, if the simulated number of production is less than the available capacity, the iteration is stopped, so that the number of production proper with the actual capacity is obtained.

Perancangan Sistem Pendukung Keputusan Pengendalian Persediaan Obat Gawat Darurat Prioritas I di RSUD Dr. Moewardi Surakarta

Performa: Media Ilmiah Teknik Industri Vol 6, No 2 (2007): PERFORMA Vol. 6, No. 2 September 2007
Publisher : Program Studi Teknik Industri, Universitas Sebelas Maret

Show Abstract | Original Source | Check in Google Scholar | Full PDF (488.794 KB)

Abstract

RSUD DR Moewardi is a state hospital of central Java Province in Surakarta which gives health service. One of the important facilities in this hospital is the pharmacy division. Some of its duties are to order, to plan, and to control drugs inventory. There are 1200 types of drugs that divided into emergency drug and non emergency drug. The Emergency Drugs (ED) function is as life saving that divided into 1 st priority, 2 nd priority and 3 rd priority ED. The 1 st priority ED are the 57 drugs that have highest management level and don’t have an emptiness tolerance. In the drug inventory control, the hospital hasn’t applied a certain drugs inventory control system. The ordering system is only based on the planning without considering the onhand status. This condition causes an overstock or even a stock out. Beside that, the drugs have an expired date. When it almost expired in 3 months later, it must be exchanged to PBF. Sometimes the tardiness happens in the hospital. Therefore it needs the Decision Support System(DSS) aim to give an early warning to exchange the drugs that are almost expired in 3 months later and also to determine the order quantity and period. First phase is designing of model base using hybrid inventory control system that combined reorder point (ROP) and periodic review system. The second phase is designing of data base using normalization and entity relationship diagram. The last phase is designing of user interface covering input and output process. From examination result, this DSS can determine the order quantity and period and also give an early warning to exchange the drugs that are almost expired in 3 months later.

Pemodelan Lokasi-Alokasi Terminal Bahan Baku untuk Meminimasi Total Biaya Rantai Pasok pada Industri Produk Jadi Rotan

Jurnal Teknik Industri Vol 12, No 1 (2010): JUNE 2010
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Original Source | Check in Google Scholar | Full PDF (165.57 KB)

Abstract

In Surakarta and its surroundings (Solo Raya), there exists more than 400 Small-Medium Enterprises (SMEs) that produce finished products of rattan. Due to the high procurement cost as total operational cost of raw rattan distribution network from the sources, e.g. Borneo and Celebes to the rattan industries, the competitiveness of their products is lower than products from other countries. Therefore, to overcome the problem, those costs should be reduced for example by aggregating the demand of rattan industries. This police needs to be supported by the warehouse for storing and distributing raw rattan. Hence, this research aims to develop a facility location-allocation model so that total supply chain costs, including raw rattan procurement costs as well as facilities opening and closing costs can be minimized. The location-allocation model will be presented in a mixed integer non-linear programming model and solved using MS-Excel Solver. The results are number and location of the warehouse along with the raw rattan allocation in the warehouse to ensure raw rattan supply for rattan industries.

Penentuan Jumlah dan Lokasi Gudang Yang Optimal Dengan Menggunakan Metode Cluster

Performa: Media Ilmiah Teknik Industri Vol 3, No 1 (2004): PERFORMA Vol. 3 No 1, Maret 2004
Publisher : Program Studi Teknik Industri, Universitas Sebelas Maret

Show Abstract | Original Source | Check in Google Scholar | Full PDF (138.301 KB)

Abstract

This paper proposes Cluster method to determine warehouse number and location of CV. Lidah Buaya Detergent Cream. This Cluster method consist of two algorithms. The fist is used to determine the number of warehouse and the second is used to determine potential warehouse location. On the first algorithm, calculation of total logistic costs is started with warehouses placement at every market area. The number of warehouse reduced one by one, so will be found market area grouping based on proximate distance. The number of optimal warehouse obtained from the calculation of minimum total logistic costs. Potential warehouse location calculated by using central of gravity.