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Annisa Kesy Garside
Fakultas Teknik, Jurusan Teknik Industri, Universitas Muhammadiyah Malang
Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Transportation Other

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SIMULASI KETERSEDIAAN BERAS DI JAWA TIMUR Garside, Annisa Kesy; Asjari, Hasyim Yusuf
Jurnal Ilmiah Teknik Industri Vol. 14, No. 1, Juni 2015
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

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.
PENINGKATAN KUALITAS PRODUK KERAMIK DENGAN PENDEKATAN SIX SIGMA PADA INDUSTRI KERAMIK DINOYO – MALANG Garside, Annisa Kesy
Jurnal Ilmiah Teknik Industri Vol. 6, No. 1, Agustus 2007
Publisher : Universitas Muhammadiyah Surakarta

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Abstract

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%.
SIMULASI KETERSEDIAAN BERAS DI JAWA TIMUR Garside, Annisa Kesy; Asjari, Hasyim Yusuf
Jurnal Ilmiah Teknik Industri Vol. 14, No. 1, Juni 2015
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v14i1.623

Abstract

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.
PENJADWALAN PRODUKSI MENGGUNAKAN ALGORITMA JADWAL NON DELAY UNTUK MEMINIMALKAN MAKESPAN STUDI KASUS DI CV. BIMA MEBEL Harto, Setyo; Garside, Annisa Kesy; Utama, Dana Marsetya
SPEKTRUM INDUSTRI Vol 14, No 1: APRIL 2016
Publisher : Universitas Ahmad Dahlan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (479.529 KB) | DOI: 10.12928/si.v14i1.3706

Abstract

CV. Mebel Bima merupakan sebuah perusahaan yang bergerak dalam bidang pengerjaan kayukhususnya pembuatan berbagai model daun pintu dan kusen. Tipe aliran produksi di perusaaan adalahjob shop dikarenakan pengerjaan setiap job memiliki aliran yang berbeda di setiap mesinnya.Penjadwalan produksi di perusahaan adalah diurutkan berdasarkan total waktu penyelesaian jobterlama sampai yang terkecil. Permasalahan di perusahaan selama ini adalah besarnya makespan yangdihasilkan oleh penjadwalan dengan metode perusahaan sehingga perusahaan mengalami keterlambatanpenyelesaian job dari waktu yang sudah ditetapkan sebelumnya. Berdasarkan masalah tersebutpenelitian ini bertujuan untuk menentukan urutan pengerjaan job dengan makespan yang lebih kecilmenggunakan algoritma jadwal non delay dengan prioritas SPT. Tahap-tahap dalam penelitian iniadalah dimulai dari observasi langsung di perusahaan, studi literatur, perumusan masalah, pengambilandata, pengolahan data, dan terakhir adalah pembandingan hasil penjadwalan. Metode penjadwalanproduksi yang digunakan di perusahaan menghasilkan makespan sebesar 194,4 jam atau 25 hari kerja (1hari terdapat 8 jam kerja), sedangkan usulan penjadwalan dengan menggunakan algoritma jadwal nondelay menghasilkan makespan sebesar 168,79 jam atau 22 hari kerja, dengan demikian Penjadwalandengan menggunakan algoritma jadwal non delay dapat menghemat total waktu pengerjaan sebesar24,85 jam atau 3 hari kerja lebih 0,85 jam. Kata kunci : Non delay, job shop, penjadwalan produksi, penjadwalan mesin.
Penyelesaian Vehicle Routing Problem with Simultaneous Pick Up and Delivery dengan Algoritma Tabu Search Garside, Annisa Kesy; Cahyanti, Dian Nur
Jurnal Ilmiah Teknik Industri Vol. 17, No. 2, Desember 2018
Publisher : Program Studi Teknik Industri, Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v17i2.6703

Abstract

Vehicle routing problem with simultaneous pickup and delivery (VRPSPD) is a problem of vehicle routes where the delivery and pickup of products to each consumer is conducted simultaneously. Pangkalan Agisindo Alam Mandiri is engaged in the distribution of 3 kg LPG. At present,pangkalan already has a schedule of visits to retail stores, but the visit route is still subjectively set which causes long mileage and high transportation costs. The problem of determining the route at this pangkalanis calledVRPSPD because pangkalandelivered filled  LPG tubes to retail stores and at the same time picked up empty LPG tubes to be brought back. To determine the route, one must consider the vehicle capacity and the ratio of the number of LPG tubes delivered and picked up. This research used a tabu search algorithm to get the proposed route. The steps in the tabu search algorithm includes  determination of the initial solution, the neighborhood search, intensification phase, diversification phase,  standard phase, and  interactive phase. By using the tabu search algorithm, the proposed route provided a savings of transportation costs of 13.72% rather than the initial route of the company.
Pengembangan Algoritma Hybrid Flowshop Three-Stage Dengan Mempertimbangkan Waktu Setup Utama, Dana Marsetiya; Garside, Annisa Kesy; Wicaksono, Wahyu
Jurnal Ilmiah Teknik Industri Vol. 18, No. 1, Juni 2019
Publisher : Muhammadiyah University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v18i1.7683

Abstract

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..
Rancangan Perbaikan Proses Produksi dengan Pendekatan Lean Six Sigma di CV. Guntur Malang Garside, Annisa Kesy; Baya’sud, Faris
Performa: Media Ilmiah Teknik Industri Vol 7, No 1 (2008): PERFORMA Vol. 7, No. 1 Maret 2008
Publisher : Industrial Engineering Study Program, Faculty of Engineering, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (150.424 KB) | DOI: 10.20961/performa.7.1.13774

Abstract

This research aim to develop an improvement plan of GTR 2 pump production process at CV. Guntur Malang by incorporating Lean Six Sigma approach. Following DMAIC steps (Define-Measure-Analyse- Improve-Control), at Measure stage shows that the most affecting waste is waiting and defect . Next at Improve stage using 5 W – 1 H method resulted on improvement plan consist of (a) applying statistical based quality control system by developing control chart during GTR 2 pump test process, (b) additional training to operator, review and correct work instruction, (c) relocate material warehouse from Research and Development area and material stock pile rearrangement, and (d) applying coolent to material before drilling process.
PENINGKATAN KUALITAS PRODUK KERAMIK DENGAN PENDEKATAN SIX SIGMA PADA INDUSTRI KERAMIK DINOYO – MALANG Garside, Annisa Kesy
Jurnal Ilmiah Teknik Industri Vol. 6, No. 1, Agustus 2007
Publisher : Muhammadiyah University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v6i1.1636

Abstract

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%.
PERANCANGAN SISTEM INFORMASI MANAJEMEN BERBASIS KOMPUTER GUNA MENINGKATKAN PELAYANAN PADA BAGIAN APOTIK DI RSU KEPANJEN-MALANG Nanang Dwi Irhandi, Annisa Kesy G,
Jurnal Teknik Industri Vol 1, No 2 (2000)
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2946.679 KB) | DOI: 10.22219/JTIUMM.Vol1.No2.154-163

Abstract

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.
Penjadwalan Job Shop Dengan Pendekatan Algoritma Artificial Immune System Nasution, Riven; Garside, Annisa Kesy; Utama, Dana Marsetiya
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 (480.421 KB) | DOI: 10.22219/JTIUMM.Vol18.No1.29-42

Abstract

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%.
Co-Authors Adhi Nugraha Ahmad Zamawi Ghozali Alfian Alif Amelia Khoidir Amelia Khoidir ANDRI SULAKSMI ANDRI SULAKSMI, ANDRI Anindia Karunia Pangesti Baiq Nurul Izzah Farida Ramadhani Baiq Nurul Izzah Farida Ramadhani Baya’sud, Faris Cahyanti, Dian Nur Dana Marsetiya Utama Dana Marsetya Utama Dian Nur Cahyanti Dian Palupi Restuputri Dovian Iswanda Ella Dewi Krisnanti Elya Rosiana Fenny Rubbayanti Dewi FITHRIANY HADZIQAH FITHRIANY HADZIQAH, FITHRIANY Fitra Risaldi Gigih Amayu Pragastio Hamim Rachman Hanny Kanavika Rizky Munawar Harto, Setyo Hasyim Yusuf Asjari Hasyim Yusuf Asjari, Hasyim Yusuf Heri Mujayin Kholik Ikhlasul Amallynda Laili, Nabila Rohmatul Leo Rizki Ardiansyah Marrica Ahmad Martina Juan Martina Juan, Martina Muhammad Alif Ihsan Muhammad Helmi Kurniawan Nabila Rohmatul Laili Nadia Mardhiyah Nasution, Riven Nyimas Mirnayanti Jayasari Sutadisastra Ode Rapija Gunarimba Waibo Pangesti, Anindia Karunia R. Hadi Wahyuono R. Hadi Wahyuono Rachman, Hamim Rahmad Wisnu Wardana Rahmad Wisnu Wardana Rara Putri Ayuning Tyas Riven Nasution Sabrina Legtria Wardani Satya Sudaningtyas Satya Sudaningtyas Setyo Harto Shanty Kusuma Dewi Shanty Kusuma Dewi Shanty Kusuma Dewi, Shanty Kusuma Teguh Baroto Thomy Eko Saputro Tiananda Widyarini Tiananda Widyarini Utama, Dana Marsetya Wa Ode Nadhilah Safitri Wahyu Wicaksono