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<![CDATA[PERANCANGAN SISTEM INFORMASI MANAJEMEN BERBASIS KOMPUTER GUNA MENINGKATKAN PELAYANAN PADA BAGIAN APOTIK DI RSU KEPANJEN-MALANG ]]>
<![CDATA[Nanang Dwi Irhandi, Annisa Kesy G,]]>
<![CDATA[ Jurnal Teknik Industri Vol 1, No 2 (2000) ]]>
Publisher : <![CDATA[Department Industrial Engineering, University of Muhammadiyah Malang ]]>
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DOI: 10.22219/JTIUMM.Vol1.No2.154-163
<![CDATA[For this time, preparation of information technology be in the process of revolution or big change precisely. Such was the case with the Apotik of RSU Panggung Kepanjen - Malang, which acceptance recipe system and the information process of medicines for consumer or for own hospital side still not make ose of management information system which use computer yet, with the result that, make it difficult for several side to processing lot of data become an information.]]>
<![CDATA[Penjadwalan Job Shop Dengan Pendekatan Algoritma Artificial Immune System ]]>
<![CDATA[Nasution, Riven]]>;
<![CDATA[Garside, Annisa Kesy]]>;
<![CDATA[Utama, Dana Marsetiya]]>
<![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[The measurement of Physical Workload and Mental Workload Level of Medical Personnel ]]>
<![CDATA[Restuputri, Dian Palupi]]>;
<![CDATA[Pangesti, Anindia Karunia]]>;
<![CDATA[Garside, Annisa Kesy]]>
<![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 is required to provide excellent quality services to each patient. The impact of the extreme physical and mental workload cause 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. The results of this study show that the mental workload on nurses in the ICU is higher than the other units. Whereas the calculation of physical load using% HR reserve turns out the head of the nurse in-unit class 1 has the highest value compared to the others unit. The statistical analysis showed there was a difference in the general practitioner workload toward the Head of the Nursing.]]>
<![CDATA[Perbandingan Performasi Metode Johnson dengan Heuristik Multi Tujuan Ditinjau dari Makespan Total Flow Time dan Iddle Time ]]>
<![CDATA[Garside, Annisa Kesy]]>
<![CDATA[ Jurnal Teknik Industri Vol 3, No 2 (2002) ]]>
Publisher : <![CDATA[Department Industrial Engineering, University of Muhammadiyah Malang ]]>
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DOI: 10.22219/JTIUMM.Vol3.No2.163-172
<![CDATA[This researchtd es to implementa methodo f rnachines chedulingfo r flow shopc alledMulti ObjectiveH euristicT. o makee asiera pplicationin attainingjo b sequencteh atm achinem ustdo alongw ith makespavna lue,l otal flow time, andi dle time,t hen a softwareis made Next, wemakea iomparisono f machines chedulingre sultp erformancbee tweenM ulti objectiveH euristicMethoda ndl ohnsonM ethodi f viewedf iom makespavna lue,t otalf low time,a ndi dlet ime. Fromthe resulto f researchc oncludedth at heuristic with multi objectivesm ethods howst he solutionsflow timet otalf ewert hanJ ohnsonm ethod]]>
<![CDATA[Penerapan Distribution Requirement Planning (DRP) pada Central Warehouse PT. Coca Cola Amatil Bottle Pandaan ]]>
<![CDATA[Garside, Annisa Kesy]]>
<![CDATA[ Jurnal Teknik Industri Vol 2, No 1 (2001) ]]>
Publisher : <![CDATA[Department Industrial Engineering, University of Muhammadiyah Malang ]]>
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DOI: 10.22219/JTIUMM.Vol2.No1.47-58
<![CDATA[This research has a good to plan the product delivery schedule from central ware house to each ware house and from ware house to PT. Coca Cola outlet to minimize the holding number of product. To plan this schedule we implement DRP (Distribution Requirement Planning) method. With using the product demand data, lead time of delivery, holding cost and release cost, also BOD (Bill of Distribution). Then analysis them using DRP software to find the shipping schedule. After implementing DRP method PT. Coca Cola can decrease about RP 7.205.761.500,00 for 8 week.]]>
<![CDATA[Penjadwalan Produksi Dengan Algoritma Heuristik Pour (Studi Kasus: Konveksi One Way – Malang) ]]>
<![CDATA[Sulaksmi, Andri]]>;
<![CDATA[Garside, Annisa Kesy]]>;
<![CDATA[Hadziqah, Fithriany]]>
<![CDATA[ Jurnal Teknik Industri Vol 15, No 1 (2014): Februari ]]>
Publisher : <![CDATA[Department Industrial Engineering, University of Muhammadiyah Malang ]]>
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DOI: 10.22219/JTIUMM.Vol15.No1.35-44
<![CDATA[“One Way Convection†is a garment company which produces many kinds of t-shirt based on the customer’s order. In order to fulfill the order, the company applies role of First-Come First-Serve for scheduling the order production sequence. This role is often disadvantageous for the order with short process time because if it is dispatched after the order with long process time, then it will take longer in queue and causes the completion time of all order to be longer. This research aims to schedule t-shirt’s sequence operation in “One Way Convection†company by using Pour heuristic algorithm so that completion time becomes shorter and order fulfillment can be accomplished on-time. The steps in this methodology consist of collecting data, calculating standard time and total process time according to the order, scheduling using initial method proposed by company, scheduling using Pour heuristic algorithm, and comparing makespan of both approaches. According to the Pour Heuristic method, saving is obtained in makespan as 8.09 hours or 19.25% compared with initial method proposed by company.]]>
<![CDATA[Usulan Perawatan Sistem Boiler dengan Metode Reliability Centered Maintenance (RCM) ]]>
<![CDATA[Rachman, Hamim]]>;
<![CDATA[Garside, Annisa Kesy]]>;
<![CDATA[Kholik, Heri Mujayin]]>
<![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[Analisa Alogaritma Layout Heuristik untuk Meminimasi Total Material handling dalam Perencanaan Tata Letak Fasilitas ]]>
<![CDATA[Garside, Annisa Kesy]]>
<![CDATA[ Jurnal Teknik Industri Vol 3, No 1 (2002) ]]>
Publisher : <![CDATA[Department Industrial Engineering, University of Muhammadiyah Malang ]]>
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DOI: 10.22219/JTIUMM.Vol3.No1.22-32
<![CDATA[This research has goal to compare there alternative layout performances CRAFT,MULTIPLE, and BLOCPLAN. Using the problem of layout which include forward flow material and fordward backward flow material can be found result : Multiple Algoritm has total distance and material cost minimally but the problems that have lower departement,CRAFT algoritm can be used better than MULTIPLE algoritm because almost gives the same result with easier input process.]]>
<![CDATA[Integrasi Analytic Hierarchy Process dan Goal Programming Dalam Pemilihan Pemasok ]]>
<![CDATA[Garside, Annisa Kesy]]>;
<![CDATA[Juan, Martina]]>
<![CDATA[ Jurnal Teknik Industri Vol 14, No 2 (2013): Agustus ]]>
Publisher : <![CDATA[Department Industrial Engineering, University of Muhammadiyah Malang ]]>
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DOI: 10.22219/JTIUMM.Vol14.No2.192-201
<![CDATA[Considering that raw material cost could reach 70% of product cost, supplier selection process was become important consideration to improve the efficiency of procurement department. The supplier selection process was multi-criteria problem involving qualitative and quantitative factors. UD Virgo Bersinar was one of fruit chips manufacturer located in Malang. The company often experienced shortage of jackfruits which interrupt production process. Thus, it was necessary to choose its supplier by considering company’s criteria and order allocation of selected supplier. This research would integrate supplier weight from Analytic Hierarchy Process and Preemptive Goal Programming model to determine priority of supplier and order quantity to the supplier. The model was formulated to achieve two objective functions, namely maximizing total value of purchasing and minimizing total cost of purchasing, by considering capacity of supplier and fulfillment of jackfruit. By running goal programming model, it was concluded that supplier from Semarang would supply 7.5 ton of jackfruit in November 2013-Januari 2014 and deficiency of needs would be supplied by supplier from Tajinan.]]>
<![CDATA[Perancangan Website Sebagai Media Promosi Dan Penjualan Pada Home Industry Abon ]]>
<![CDATA[Dewi, Shanty Kusuma]]>;
<![CDATA[Garside, Annisa Kesy]]>
<![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.]]>
