Articles
<![CDATA[Perancangan Website Sebagai Media Promosi Dan Penjualan Pada Home Industry Abon ]]>
<![CDATA[Shanty Kusuma Dewi]]>;
<![CDATA[Annisa Kesy Garside]]>
<![CDATA[ Jurnal Teknik Industri Vol. 15 No. 2 (2014): Agustus ]]>
Publisher : <![CDATA[Department Industrial Engineering, University of Muhammadiyah Malang ]]>
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DOI: 10.22219/JTIUMM.Vol15.No2.170-181
<![CDATA[Marketing activity which is performed by a home industry of abon namely Lestari Jaya Pangan currently is not completely well established. Selling activity is conventionally run through offering the product to stores, market and also through retailer. Its affects the sale to be limited only nearby region of Malang. Promotion strategy also limited by using brochure and participating either local or national fair which is organized by goverment. In order to tackle the issue, the website is needed to be designed to support marketing and selling activity of its product particularly abon. website is designed by using oneline selling system with content management system (CMS) opencart. Through the website, marketing activity is more effective and able to increase income.]]>
<![CDATA[Penjadwalan Job Shop Dengan Pendekatan Algoritma Artificial Immune System ]]>
<![CDATA[Riven Nasution]]>;
<![CDATA[Annisa Kesy Garside]]>;
<![CDATA[Dana Marsetiya Utama]]>
<![CDATA[ Jurnal Teknik Industri Vol. 18 No. 1 (2017): Februari ]]>
Publisher : <![CDATA[Department Industrial Engineering, University of Muhammadiyah Malang ]]>
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DOI: 10.22219/JTIUMM.Vol18.No1.29-42
<![CDATA[Production scheduling is an important activity in manufacturing. Optimal scheduling affects the time of completion of the work. PT. Interpack is a company that produces packaging machines. The job schedule of the product spare part still uses the random priority rules. Use of random rules makes a lot of time delay. Delay causes operator and machine idle. Delay also causes the total time of completion of the work (makespan) and delay the greater. So it needs to be rescheduled to work on the spare part of product. Job scheduling using the Artificial Immune System (AIS) algorithm. AIS was developed by Farmer et al. The AIS algorithm refers to the human immune system. The stages of the AIS algorithm begin with random initialization, antibody representation and gene classification, clone breeding, selection of donor antibodies, germ-line construction, gene fragment redesign, and ending with diversification of antibodies. AIS algorithm scheduling resulted in a more optimal new schedule. AIS algorithm scheduling generates a future of 6483.91 minutes. Company scheduling generates makespan of 7059.99 minutes. AIS Schedule finishes algorithm 4 days of the due date. AIS algorithm schedule increase machine utility by 1%.]]>
<![CDATA[Usulan Perawatan Sistem Boiler dengan Metode Reliability Centered Maintenance (RCM) ]]>
<![CDATA[Hamim Rachman]]>;
<![CDATA[Annisa Kesy Garside]]>;
<![CDATA[Heri Mujayin Kholik]]>
<![CDATA[ Jurnal Teknik Industri Vol. 18 No. 1 (2017): Februari ]]>
Publisher : <![CDATA[Department Industrial Engineering, University of Muhammadiyah Malang ]]>
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DOI: 10.22219/JTIUMM.Vol18.No1.86-93
<![CDATA[Pembangkit Listrik Tenaga Uap (PLTU) PT Indo Pusaka Berau is a PLN work unit that provides electricity to consumers. The problem of the company is the frequent damage to boiler engine components. The company uses corrective maintenance system. On the problem, it is necessary to develop a machine maintenance system with Reliability Centered Maintenance (RCM) approach. The objective of the study was to select a boiler system maintenance action based on the RCM method and component replacement interval to minimize Total Minimum Downtime (TMD). Results of data processing RCM method, component in category Condition Directed (CD) is El Bow component. Components in Time Directed category (TD) are gland seal steam and check valve. Components in the Time Directed category are calculated for component replacement intervals on TMD criteria. The calculation result from component replacement interval was obtained 37 days for gland seal steam component and 58 days for check valve component. The proposed treatment of RCM method can reduce downtime by 11.33% of the company's maintenance methods.]]>
<![CDATA[The Measurement of Physical Workload and Mental Workload Level of Medical Personnel ]]>
<![CDATA[Dian Palupi Restuputri]]>;
<![CDATA[Anindia Karunia Pangesti]]>;
<![CDATA[Annisa Kesy Garside]]>
<![CDATA[ Jurnal Teknik Industri Vol. 20 No. 1 (2019): February ]]>
Publisher : <![CDATA[Department Industrial Engineering, University of Muhammadiyah Malang ]]>
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DOI: 10.22219/JTIUMM.Vol20.No1.34-44
<![CDATA[As the primary health reference center, a hospital must provide excellent quality services to each patient. The impact of the extreme physical and mental workload causes negligence in activities. It affects the quality of services provided by medical personnel. This study investigated the level of mental workload and physical workload in medical staff in a hospital. This study was conducted at 15 units in the hospital. The mental workload was assessed using the NASA-TLX Questionnaire. The physical workload analysis was carried out with the Heart Rate reserve percentage of medical personnel. This study shows that the mental workload of nurses in the Intensive Care Unit (ICU) is higher than the other units. Whereas the calculation of physical load using % HR reserve turns out the nurse's head in-unit class 1 has the highest value than the other unit. The statistical analysis showed a difference in the general practitioner workload toward the Head of Nursing. ]]>
<![CDATA[A Cluster-First Route-Second Heuristic Approach to Solve The Multi-Trip Periodic Vehicle Routing Problem ]]>
<![CDATA[Annisa Kesy Garside]]>;
<![CDATA[Nabila Rohmatul Laili]]>
<![CDATA[ Jurnal Teknik Industri Vol. 20 No. 2 (2019): August ]]>
Publisher : <![CDATA[Department Industrial Engineering, University of Muhammadiyah Malang ]]>
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DOI: 10.22219/JTIUMM.Vol20.No2.172-181
<![CDATA[This paper discusses periodic vehicle routing problems that allow vehicles to travel on multiple trips in a single day. It is known as the Multi-Trip Periodic Vehicles (MTPVRP) Problem Route. Cluster-first route-second (CFRS) heuristics to solve MTPVRP was proposed in this study. In phase 1, customers were divided into clusters using the formulation of integer programming. Phase 2 determined the route of the cluster and verified that the total journey time to visit the trips does not exceed the working hours of the vehicle. Implementing the heuristic CFRS to solve the real problem faced by the Liquefied petroleum gas (LPG) distributor shows that the procedure could provide a better routing solution.]]>
<![CDATA[Integration of Rough SWARA and COPRAS in the Performance Evaluation of Third-Party Logistics Providers ]]>
<![CDATA[Elya Rosiana]]>;
<![CDATA[Annisa Kesy Garside]]>;
<![CDATA[Ikhlasul Amallynda]]>
<![CDATA[ Jurnal Teknik Industri Vol. 22 No. 1 (2021): February ]]>
Publisher : <![CDATA[Department Industrial Engineering, University of Muhammadiyah Malang ]]>
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DOI: 10.22219/JTIUMM.Vol22.No1.31-42
<![CDATA[Currently, the use of logistics service providers in companies has become a decision chosen by several companies. Companies use Third Party Logistics (3PL) to focus more on other essential activities in the company. Evaluating the performance of a 3PL provider is an essential process in determining performance of a 3PL provider. A wrong evaluation process could lead to company’s loss. The main objective of this study was to propose a 3PL performance appraisal procedure. This study integrated the Rough method Step-wise Weight Assessment Ratio Analysis (SWARA) and the Complex Proportional Assessment Method (COPRAS) to assess the performance of 3PL providers. The SWARA Rough method was used to assess the ranking of the criteria. The results of the Rough SWARA ranking were utilized by the COPRAS method to assess supplier performance. A case study was conducted in an animal feed production company in Indonesia. The results showed that there were criteria for product safety; on-time delivery, responsiveness, and flexibility with the greatest weight among the 16 criteria used.]]>
<![CDATA[A Genetic Algorithm for Solving Periodic Heterogeneous Vehicle Routing Problem ]]>
<![CDATA[Amelia Khoidir]]>;
<![CDATA[Annisa Kesy Garside]]>
<![CDATA[ Jurnal Teknik Industri Vol. 23 No. 1 (2022): February ]]>
Publisher : <![CDATA[Department Industrial Engineering, University of Muhammadiyah Malang ]]>
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DOI: 10.22219/JTIUMM.Vol23.No1.31-42
<![CDATA[This paper addresses the periodic heterogeneous vehicle routing problem (PHVRP), an extension of the classical vehicle routing problems (VRP). This problem is known to be confined to various real-world instances where each customer's demand should be served within a specific time horizon and a maximum demand quantity that can be delivered at each visit. The heterogeneous capacitated vehicles are available to perform the services for each customer. This paper aims to minimize the total traveling time of routes for all vehicles over the time horizon so that the customers' demands can be delivered. Thus, a novel coding scheme is also proposed to directly convert a random sequence of integers into a feasible solution, which is then embedded into algorithms. Furthermore, this paper also compares the performance of the Genetic Algorithm (GA) with the particle swarm optimization algorithm (PSO). The numerical results of the experiments show that the proposed GA is superior to PSO. However, the computation time of PSO is faster than GA.]]>
<![CDATA[PENINGKATAN KUALITAS PRODUK KERAMIK DENGAN PENDEKATAN SIX SIGMA PADA INDUSTRI KERAMIK DINOYO – MALANG ]]>
<![CDATA[Annisa Kesy Garside]]>
<![CDATA[ Jurnal Ilmiah Teknik Industri Vol. 6, No. 1, Agustus 2007 ]]>
Publisher : <![CDATA[Department of Industrial Engineering Universitas Muhammadiyah Surakarta ]]>
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DOI: 10.23917/jiti.v6i1.1636
<![CDATA[Penelitian ini bertujuan menerapkan konsep Six Sigma untuk mengurangi terjadinya cacat dan menekan adanya variabilitas yang terjadi pada proses pembuatan keramik. Proses perbaikan dilakukan secara sistematis dan kontinyu dengan menggunakan siklus DMAIC (Define, Measure, Analyze, Improve and Control). Dengan menggunakan diagram Pareto diperoleh dua jenis cacat kritis yang menjadi permasalahan utama yaitu retak dan bintik melepuh. Selanjutnya alternatif-alternatif perbaikan pada proses diperoleh dengan FMEA. Berdasarkan nilai Risk Priority Number (RPN) yang tertinggi diambil 3 alternatif perbaikan dan selanjutnya dipilih satu alternatif terbaik dengan menggunakan metode AHP. Implementasi perbaikan dilakukan dengan menggunakan timer dan menugaskan operator khusus pada saat pembakaran untuk mengurangi cacat retak dan membersihkan kotoran bodi dengan menggunakan kompresor untuk mengurangi bintik melepuh. Setelah dilakukan evaluasi hasil implementasi alternatif perbaikan pada proses pembuatan keramik diperoleh kenaikan level sigma dari 2,8 menjadi 3 yang diikuti penurunan DPMO dari 104.167 menjadi 65.625. Sedangkan prosentase biaya akibat kualitas keramik yang jelek (COPQ) terhadap total penjualan mengalami penurunan dari 16,48% menjadi 9,93%.]]>
<![CDATA[SIMULASI KETERSEDIAAN BERAS DI JAWA TIMUR ]]>
<![CDATA[Annisa Kesy Garside]]>;
<![CDATA[Hasyim Yusuf Asjari]]>
<![CDATA[ Jurnal Ilmiah Teknik Industri Vol. 14, No. 1, Juni 2015 ]]>
Publisher : <![CDATA[Department of Industrial Engineering Universitas Muhammadiyah Surakarta ]]>
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DOI: 10.23917/jiti.v14i1.623
<![CDATA[East Java province is one of the rice granary and is an important national food buffer. In 2014, East Java targeted to contribute 60% of 10 million tons national surplus in P2NB program. Objective of this research is to predict rice availability in 2013 to 2020 and analyze East Java readiness on achieving the target. Research steps starts from cause-effect diagram, stock and flow diagram, math formulation inside the diagram, verification and validation of the model, and simulation of developed model. Result of dynamical system indicates availability of rice in 2014 is 3,944,377.7 tons. With such availability, East Java target to contribute 60% of 10 million national rice surplus in 2014 cannot be achieved.]]>
<![CDATA[Pengembangan Algoritma Hybrid Flowshop Three-Stage Dengan Mempertimbangkan Waktu Setup ]]>
<![CDATA[Dana Marsetiya Utama]]>;
<![CDATA[Annisa Kesy Garside]]>;
<![CDATA[Wahyu Wicaksono]]>
<![CDATA[ Jurnal Ilmiah Teknik Industri Vol. 18, No. 1, Juni 2019 ]]>
Publisher : <![CDATA[Department of Industrial Engineering Universitas Muhammadiyah Surakarta ]]>
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DOI: 10.23917/jiti.v18i1.7683
<![CDATA[Hybrid flow shop scheduling is one topic that is often reviewed by researchers at this time. Hybrid flow shop scheduling is the development of problems from pure flow shop. Flow shop problems have one machine at each stage. In this problem, each stage of operation has a machine that is arranged in parallel. This article aims to discuss the issue of hybrid flow shop scheduling at three stage to minimize makespan. Some previous studies discussed scheduling problems by considering setup time. However, such research is generally for the problem of pure flow shop. Therefore, a new algorithm is proposed to solve the problem. The proposed algorithm is developed from the Pour heuristic algorithm. Several experiments were conducted to determine the performance of the proposed algorithm. This study uses ten numerical experiments. This experiment uses the number of jobs varying from 5 jobs to 50 jobs. The results of numerical experiments show that the proposed algorithm has better performance compared to some other algorithms. The proposed method produces an effective solution if it is used to solve problems with a large number of jobs..]]>
