Articles
<![CDATA[Determining Flood Protection Strategy with Uncertain Parameter Using Adjustable Robust Counterpart Methodology ]]>
<![CDATA[Diah Chaerani]]>;
<![CDATA[Muttaqien Rodhiya Robbi]]>;
<![CDATA[Elis Hertini]]>;
<![CDATA[Endang Rusyaman]]>;
<![CDATA[Erick Paulus]]>
<![CDATA[ Jurnal ILMU DASAR Vol 21 No 1 (2020) ]]>
Publisher : <![CDATA[Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember ]]>
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DOI: 10.19184/jid.v21i1.10780
<![CDATA[Flooding is a natural disaster that often occurs, it is not surprising that floods are one of the problems that must be resolved in various countries, one of which is Indonesia. Flood is very detrimental to the public because the impact could be the loss of material and non-material. A flood protection system is needed and must be managed properly. This aims in management of flood protection systems often requires efficient cost control strategies that are the lowest possible long-term costs, but still meets the flood protection standards imposed by regulators in all plans. In this paper a flood protection strategy is modeled using Adjustable Robust Optimization. In this approach, there are two kinds of variables that must be decided, i.e., adjustable and non-adjustable variables. A numerical simulation is presented using Scilab Software. Keywords: Flood Protection Strategy, Uncertainty, Adjustable Robust Optimization, Scilab Software.]]>
<![CDATA[RECIPES FOR BUILDING THE DUAL OF CONIC OPTIMIZATION PROBLEM ]]>
<![CDATA[Diah Chaerani]]>
<![CDATA[ Journal of the Indonesian Mathematical Society Volume 16 Number 1 (April 2010) ]]>
Publisher : <![CDATA[IndoMS ]]>
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DOI: 10.22342/jims.16.1.28.9-23
<![CDATA[Building the dual of the primal problem of Conic Optimization (CO) isa very important step to make the ¯nding optimal solution. In many cases a givenproblem does not have the simple structure of CO problem (i.e., minimizing a linearfunction over an intersection between a±ne space and convex cones) but there areseveral conic constraints and sometimes also equality constraints. In this paper wedeal with the question how to form the dual problem in such cases. We discuss theanswer by considering several conic constraints with or without equality constraints.The recipes for building the dual of such cases is formed in standard matrix forms,such that it can be used easily on the numerical experiment. Special attention isgiven to dual development of special classes of CO problems, i.e., conic quadraticand semide¯nite problems. In this paper, we also brie°y present some preliminariestheory on CO as an introduction to the main topic.DOI : http://dx.doi.org/10.22342/jims.16.1.28.9-23]]>
<![CDATA[Model Optimisasi Multiobjektif untuk Masalah Alokasi Penggunaan Lahan dengan Menggunakan Analisis Data Spasial ]]>
<![CDATA[Diah Chaerani]]>;
<![CDATA[Budi Nurani Ruchjana]]>;
<![CDATA[Vivian Wilhelmina]]>
<![CDATA[ Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 14 No. 1 (2012): JUNE 2012 ]]>
Publisher : <![CDATA[Institute of Research and Community Outreach - Petra Christian University ]]>
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DOI: 10.9744/jti.14.1.63-72
<![CDATA[A good land-use allocation is an important effort to create a safe urban space, comfortable, productive, and sustainable. This is as stipulated in UU RI No. 26 of 2007 regarding spatial planning in Indonesia. Therefore the optimization on allocation land use is important to do. In this paper we present a different approach to solve the land-use allocation problem, i.e,, by using multiobjective optimization, branch and bound methods and generating spatial data analysis via uniformly weighted matrix. In this problem, the objective function is to maximize the total density index and total comprehensive index of the land-use types. An illustrative data that refer to Region Regulation for Bandung No. 09 of 2009 is presented.]]>
<![CDATA[Handling Optimization under Uncertainty Problem Using Robust Counterpart Methodology ]]>
<![CDATA[Diah Chaerani]]>;
<![CDATA[Cornelis Roos]]>
<![CDATA[ Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 15 No. 2 (2013): DECEMBER 2013 ]]>
Publisher : <![CDATA[Institute of Research and Community Outreach - Petra Christian University ]]>
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DOI: 10.9744/jti.15.2.111-118
<![CDATA[In this paper we discuss the robust counterpart (RC) methodology to handle the optimization under uncertainty problem as proposed by Ben-Tal and Nemirovskii. This optimization methodology incorporates the uncertain data in U a so-called uncertainty set and replaces the uncertain problem by its so-called robust counterpart. We apply the RC approach to uncertain Conic Optimization (CO) problems, with special attention to robust linear optimization (RLO) problem and include a discussion on parametric uncertainty for that case. Some new supported examples are presented to give a clear description of the used of RC methodology theorem.]]>
<![CDATA[Solusi Optimal Model Optimisasi Robust Untuk Masalah Traveling Salesman Dengan Ketidaktentuan Kotak Dan Pendekatan Metode Branch And Bound ]]>
<![CDATA[Poppy Amriyati]]>;
<![CDATA[Diah Chaerani]]>;
<![CDATA[Eman Lesmana]]>
<![CDATA[ Jurnal Teknik Industri Vol. 17 No. 2 (2015): DECEMBER 2015 ]]>
Publisher : <![CDATA[Institute of Research and Community Outreach - Petra Christian University ]]>
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DOI: 10.9744/jti.17.2.81-88
<![CDATA[Traveling Salesman Problem (TSP) merupakan teknik pencarian rute yang dimulai dari satu titik awal, setiap kota harus dikunjungi sekali dan kemudian kembali ke tempat asal sehingga total jarak atau waktu perjalanan adalah minimum. Untuk mengatasi kedakpastian jarak atau waktu perjalanan, maka perlu dilakukan pengembangan model TSP. Salah satu bidang Optimisasi yang mampu menyelesaikan permasalahan terkait ketidakpastian adalah Optimisasi Robust. Dalam makalah ini dibahas mengenai penerapan Optimisasi Robust pada TSP (RTSP) menggunakan pendekatan Box Uncertainty dan diselesaikan dengan menggunakan Metode Branch and Bound. Disajikan simulasi numerik pada software aplikasi Maple untuk beberapa kasus nyata terkait penerapan Optimisasi RTSP , seperti masalah manajemen konstruksi, penentuan jarak tempuh kota di Pulau Jawa, dan Penentuan Rute Mandiri Fun Run.]]>
<![CDATA[Model Optimisasi Robust untuk Mengatasi Ketidaktentuan Estimasi Durasi Operasi pada Masalah Penjadwalan Ruang Operasi Rumah Sakit ]]>
<![CDATA[Diah Chaerani]]>;
<![CDATA[Ija Royana]]>;
<![CDATA[Elis Hertini]]>
<![CDATA[ Jurnal Teknik Industri Vol. 19 No. 1 (2017): JUNE 2017 ]]>
Publisher : <![CDATA[Institute of Research and Community Outreach - Petra Christian University ]]>
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DOI: 10.9744/jti.19.1.55-66
<![CDATA[Masalah penjadwalan ruang operasi di rumah sakit merupakan masalah keragaman durasi operasi yang memerlukan penjadwalan untuk mengurangi tingkat kesibukan ruang operasi. Masalah yang harus diselesaikan dalam penjadwalan ruang operasi adalah bagaimana menempatkan pasien ke dalam blok ruang operasi yang tersedia secara optimal untuk meminimumkan waktu tunggu pasien. Masalah ini dapat disajikan dalam sebagai masalah optimisasi dalam formulasi mixed integer linear programming (MILP). Pada prakteknya sering terjadi ketidaktentuan estimasi durasi operasi yang dapat mengakibatkan jadwal operasi tidak berjalan sesuai perencanaan awal, sehingga pasien tidak dapat dioperasi sesuai dengan waktu yang telah ditentukan. Dalam makalah ini dikaji pemodelan masalah optimisasi tak tentu dengan menggunakan teknik pemodelan Optimisasi Robust (OR) dalam hal mengatasi ketidaktentuan estimasi durasi operasi pada masalah penjadwalan ruang operasi rumah sakit. Dalam metodologi OR diperkenalkan Robust Counterpart (RC), dimana tujuan utama yang ingin dicapai adalah menguji level robustness dengan cara menguji formulasi model robust counterpart yang dihasilkan apakah dapat direpresentasikan dalam jenis kelas masalah optimisasi yang dapat terjamin sebagai kelas masalah yang computationally tractable. Pemilihan jenis himpunan taktentu untuk merepresentasikan data taktentu yang terlibat dalam pemodelan sangat menentukan, untuk memastikan apakah formulasi robust counterpart yang diperoleh merupakan masalah yang computationally tractable atau tidak. Dapat disimpulkan bahwa model RC yang diperoleh termasuk dalam kelas masalah yang computatioonally tractability, dalam hal ini model tak tentu dapat direpresentasikan dalam formulasi model optimisasi dalam bentuk linear programming (untuk box uncertainty set) dan conic quadratic programming (untuk ellipsoidal uncertainty set). ]]>
<![CDATA[Robust Optimization Model for Bi-objective Emergency Medical Service Design Problem with Demand Uncertainty ]]>
<![CDATA[Diah Chaerani]]>;
<![CDATA[Siti Rabiatul Adawiyah]]>;
<![CDATA[Eman Lesmana]]>
<![CDATA[ Jurnal Teknik Industri Vol. 20 No. 2 (2018): December 2018 ]]>
Publisher : <![CDATA[Institute of Research and Community Outreach - Petra Christian University ]]>
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DOI: 10.9744/jti.20.2.95-104
<![CDATA[Bi-objective Emergency Medical Service Design Problem is a problem to determining the location of the station Emergency Medical Service among all candidate station location, the determination of the number of emergency vehicles allocated to stations being built so as to serve medical demand. This problem is a multi-objective problem that has two objective functions that minimize cost and maximize service. In real case there is often uncertainty in the model such as the number of demand. To deal the uncertainty on the bi-objective emergency medical service problem is using Robust Optimization which gave optimal solution even in the worst case. Model Bi-objective Emergency Medical Service Design Problem is formulated using Mixed Integer Programming. In this research, Robust Optimization is formulated for Bi-objective Emergency Medical Service Design Problem through Robust Counterpart formulation by assuming uncertainty in demand is box uncertainty and ellipsoidal uncertainty set. We show that in the case of bi-objective optimization problem, the robust counterpart remains computationally tractable. The example is performed using Lexicographic Method and Branch and Bound Method to obtain optimal solution. ]]>
<![CDATA[Optimization Model for Agricultural Processed Products Supply Chain Problem in Bandung During Covid-19 Period ]]>
<![CDATA[Athaya Zahrani Irmansyah]]>;
<![CDATA[Diah Chaerani]]>;
<![CDATA[Endang Rusyaman]]>
<![CDATA[ Jurnal Teknik Industri Vol. 23 No. 2 (2021): Dec 2021 ]]>
Publisher : <![CDATA[Institute of Research and Community Outreach - Petra Christian University ]]>
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DOI: 10.9744/jti.23.2.83-92
<![CDATA[Coronavirus disease, commonly called Covid-19, is a virus that causes a pandemic in almost every country globally. One of those countries is Indonesia, which has many big cities with dense populations. This study was conducted in Bandung, the capital of West Java, Indonesia. As a result of the Covid-19 pandemic, Bandung was seriously affected in various ways. One was the disruption in the distribution of the agricultural processed products supply chain, which changes producers and consumers' behaviour. Furthermore, as an effort by the government to break the spread of the virus, health protocols limit the distribution. The purpose of this study is to design an optimization model for the supply chain problem of agricultural processed products in Bandung during the Covid-19 period with the objective function is maximizing product suppliers so that all demands on consumers are fulfilled. The use of Local Food Hub (LFH) is a help in this research as a distribution centre point between the producer zone and the consumer zone. Finally, numerical experiments were carried out in two scenarios, namely Large-scale Social Distancing (LSD) and Partial Social Distancing (PSD). It was found that the optimal distribution solution was obtained if the PSD scenario was applied.]]>
<![CDATA[Solving Uncertain Online Shopping Problem With Discounts Using Robust Counterpart Methodology ]]>
<![CDATA[Diah Chaerani]]>;
<![CDATA[eman lesmana]]>;
<![CDATA[S.S.A.S. Putri]]>
<![CDATA[ IJEBD (International Journal of Entrepreneurship and Business Development) Vol 4 No 2 (2021): March 2021 ]]>
Publisher : <![CDATA[LPPM of NAROTAMA UNIVERSITY ]]>
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DOI: 10.29138/ijebd.v4i2.1367
<![CDATA[Online Shopping is a phenomenon that is growing rapidly at this time and consumers are an important element in the buying and selling competition in the market and consumers who make a difffference in determining the profifits of the sellers. This research discusses the problem of online shopping using the Robust Optimization method. Robust Optimization Method is a process to get optimal results with an uncertainty. Based on the demand model to optimize the buying price, an Integer Linear Programming model with discount functions is built which will be converted into Robust Optimization. In this study also used a tool that is the Maple application in the numerical calculation process.]]>
<![CDATA[PENDAMPINGAN PERENCANAAN USAHA KECIL MIKRO DAN MENENGAH (UMKM) PADA MASA PANDEMI COVID-19 DENGAN MODEL OPTIMISASI INTERNET SHOPPING ONLINE MELALUI KEGIATAN KKN DAN LOKAKARYA DARING ]]>
<![CDATA[Diah Chaerani]]>;
<![CDATA[Nurul Gusriani]]>;
<![CDATA[Tomy Perdana]]>;
<![CDATA[Endang Rusyaman]]>;
<![CDATA[Sunarta Susanto]]>
<![CDATA[ Dharmakarya : Jurnal Aplikasi Ipteks Untuk Masyarakat Vol 11, No 2 (2022): Juni. 2022 ]]>
Publisher : <![CDATA[Universitas Padjadjaran ]]>
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DOI: 10.24198/dharmakarya.v11i2.36899
<![CDATA[Pandemi Covid-19 memberikan dampak yang sangat besar bagi banyak sektor. Kebijakan pemerintah dalam mengatasi pandemi dan menurunkan tingkat penyebaran Covid-19 ini telah menghambat aktivitas sehari-hari hingga aktivitas jual beli yang dilakukan oleh usaha mikro, kecil dan menengah (UMKM). UMKM memiliki peran yang sangat penting dalam pertumbuhan ekonomi mengingat krisis ekonomi yang diakibatkan diakibatkan pandemi ini. Maka diperlukan kontribusi langsung dari pemerintah serta masyarakat dalam membangun UMKM. Pemerintah mendukung UMKM untuk bertransformasi menjadi usaha digital dengan memanfaatkan teknologi digital yang sudah ada. Dalam makalah ini, disajikan hasil pelaksanaan kegiatan Pengabdian pada Masyarkat (PPM) yang terintegrasi dengan kegiatan Kuliah Kerja Nyata Mahasiswa (KKNM) yang bertujuan untuk mendampingan para pelaku unit usaha UMKM dalam perencanaan dan strategi berbisnis secara online dengan menggunakan Model Optimisasi Internet Online (ISHOP). Kegiatan dilakukan dengan tujuan melihat perubahan pengetahuan UMKM tentang harga pokok penjualan, menentukan harga jual produk, target penjualan, dan optimisasi produksi yang dilaksanakan dalam bentuk Lokakarya. Sebelum pelaksanaan wokshop, dilakukan terlebih dahulu survey terdapat tingkat pengentahuan UMKM mengenai perencanaan produksi, pencatatan keuangan dan strategi marketing. Pada saat pelaksanaan Lokakarya dilakukan pengukuran tingkat pengetahuan model optmisasi ISHOP melalui pre-test dan post-test yang disebarkan kepada peserta Lokakarya. Metode penelitian yang digunakan adalah kualitatif dengan analisis deskriptif. Hasil yang didapatkan bahwa terdapat perubahan signifikan terhadap pemahaman dan pengetahuan peserta Lokakarya sebelum dan sesudah mengikuti kegiatan Lokakarya.]]>
