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All Journal ASEAN Journal of Systems Engineering Majalah Forum Teknik UGM Jurnal Teknoin Seminar Nasional Aplikasi Teknologi Informasi (SNATI) J@TI (TEKNIK INDUSTRI) Jurnal Teknosains Journal of Indonesian Economy and Business Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Angkasa: Jurnal Ilmiah Bidang Teknologi International Journal of Supply Chain Management International Journal of Industrial Engineering and Engineering Management JURNAL TEKNIK INDUSTRI
Nur Aini Masruroh
Fakultas Teknik, Jurusan Teknik Mesin Dan Industri, Universitas Gadjah Mada Jl. Grafika 2, Kampus UGM, Yogyakarta 55281
Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Transportation

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THE DETERMINATION OF VEGETABLE PRICING IN THE SUPERMARKET IN YOGYAKARTA Suci Miranda; Nur Aini Masruroh
Teknoin Vol. 22 No. 2 (2016)
Publisher : Faculty of Industrial Technology Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/teknoin.vol22.iss2.art4

Abstract

Penelitian ini menjelaskan faktor - faktor yang mempengaruhi penentuan harga sayuran di supermarket di Yogyakarta. Diketahui bahwa harga sayuran di supermarket merupakan penjumlahan dari harga sayuran supplier dan mark up dari harga supplier tersebut. Hasil penelitian menunjukkan bahwa harga supplier merupakan salah satu variabel yang berpengaruh secara langsung terhadap harga sayuran di supermarket. Faktor - faktor yang mempengaruhi besaran mark up merupakan data kualitatifberdasarkan hasil wawancara dengan supplier dan survery di supermarket: segmentasi konsumen, pengaruh harga pasar, pengaruh harga impor, dan packaging. Hasil PCA memberikan  informasi variabel penting  terhadap besaran mark up harga sayuran  yaitu Pengaruh Harga Pasar, Pengaruh Harga Impor, dan Packaging. Ketiga variabel ini berkorelasi tinggi baik terhadap mark up maupun harga sayuran di supermarket. Segmentasi Pasar tidak berkorelasi secara signifikan terhadap besaran mark up dan harga sayuran di supermarket. Terakhir, dengan menggunakan Partial Least Squares (PLS) dibangun model matematis penentuan harga sayuran di supermarket. Model 1 dengan 25 data dan Model 2 dengan 14 data sayuran. Y sebagai mark up, dan X adalah variabel Segmentasi Konsumen, Pengaruh Harga Pasar, Pengaruh Harga Impor, dan Packaging. Diberikan contoh perhitungan harga sayuran di supermarket menggunakan model yang dibangun.
Penentuan Faktor Prioritas Penganggaran Partisipatif IKM Andalan Provinsi Kalimantan Barat dengan Metode AHP Susana Evayanti; Niken Siwi Pamungkas; Nur Aini Masruroh; Anna Maria Sri Asih
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2018
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

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Abstract

SIMULATION MODEL DEVELOPMENT FOR FIRE WATER PIPING NETWORK WITH NEWTON-RAPHSON ITERATION Ari Ariangga Orranius Putra Patarru; Joko Waluyo; Nur Aini Masruroh
ASEAN Journal of Systems Engineering Vol 5, No 1 (2021): ASEAN Journal of Systems Engineering
Publisher : Master in Systems Engineering

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Abstract

The oil and gas industry is an industry that possesses various risks. The most significant risk in this sector is fire. To support the oil and gas production activities, it is necessary to install permanent and non-permanent fire extinguishers to prevent and deal with fire accidents. The firewater network system has a role in supplying flow rates with a certain pressure to protect the production process in a fire. The flow rate and pressure must be able to preserve the process area. Therefore the performance of firewater network system must be monitored. Over time, the performance degradation of the firewater network system is unavoidable.  This decrease is due to scaling or leak minor at pipe and the decreasing performance of the diesel fire pump.This research aims to create a model of simulation fire water network system using newton-raphson iteration. The simulation model that is formed will be used to vary the flow rate against pressure. Based on iteration show the flow rate at platform 4 is 198.9 m3/h. The discharge variation is carried out to see the pressure on platform 4, the variation of the discharge of 2,000 m3/h gives a pressure of 150.45 psig, the variation of the discharge of 1,500 m3/h gives a pressure of 130.85 psig, and the variation of the discharge of 500 m3/h gives a pressure of 24.26 psig. The results of the discharge variation are used to see the performance of the fire water network system. Performance with a discharge of 2,000 m3/h decreased by 9.74%, and performance with a discharge of 1,000 m3/h decreased by 8.81%.
MODEL OF VEHICLE ROUTING PROBLEM WITH SPLIT DELIVERY, MULTI TRIPS, MULTI PRODUCTS AND COMPARTMENTS FOR DETERMINING FUEL DISTRIBUTION ROUTES Dinda Safitri Ramadhani; Nur Aini Masruroh; Joko Waluyo
ASEAN Journal of Systems Engineering Vol 5, No 2 (2021): ASEAN Journal of Systems Engineering
Publisher : Master in Systems Engineering

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Abstract

The industrial development in Indonesia encourages companies to have high sensitivity in competing to meet consumer demands promptly by considering minimum distribution costs. One of the factors that can affect distribution costs is route determination. Determining the distribution route is the Vehicle Routing Problem (VRP). The purpose of VRP is to arrange the order of distribution routes to produce a minimum total distance. This study aims to determine the fuel distribution route at TBBM Rewulu in one delivery period to obtain the optimal distribution route and minimize the vehicle mileage. Delivery is carried out using three types of tanker trucks with heterogeneous capacities. This study uses a mathematical model of Mixed Integer Linear Programming (MILP) by considering split delivery, multi trips, multi-products, and compartments.The branch and bound method in the LINGO solver has been used to solve this problem. This model was tested on a simple case using data of 8 customers with different distances and demand shipped by truck. The results obtained indicate that no boundaries are violated, and all consumers are served. The mathematical model built is still general, so it can solve similar cases. A model can be developed for further research by adding VRP variants such as time windows and adding the product types to represent the entire existing system.
Evaluasi Medical Response Preparedness Pada Unit Gawat Darurat (Studi Kasus di IGD Rumah Sakit Umum Pusat Dr. Sardjito Yogyakarta) Indah Puspitasari; Nur Aini Masruroh
Forum Teknik Vol 36, No 1 (2015)
Publisher : Faculty of Engineering, Universitas Gadjah Mada

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Abstract

     In the last decade, there were 2 disasters that killed many people in Yogyakarta, such as earthquake in 2006 and Merapi eruption in 2010. Therefore, as one of reference hospitals,RSUP Dr. Sardjito must have good medical response preparedness to handle victims that were evacuated to RSUP Dr. Sardjito, therefore evaluation of medical response preparedness that has been applied in RSUP Dr. Sardjito is needed, in purpose deciding resources allocation.Simulation is used to evaluate medical response preparedness. Model is built based on real system when Merapi eruption is happened and on extreme points of arrival rate of victims to RSUP Dr. Sardjito, that is on 5 and 7 November 2010. Then the model is simulated and evaluated by using average waiting time for victims to be handled as indicator. The evaluation result will decide resources allocation that is needed. simulation of model 5 November results average waiting time for patient with severity 1, 2, 3, and 4 is 2991,26; 72,19; 0; 0 minutes. While model 7 November results waiting time for patient with severity 2, 3, and 4 is 0,22; 0; 0 minutes. From the results, sensitivity analysis is used to decide resources allocation needs.Keywords: medical responses, emergency department, simulation, disaster, system improvement
OPERATIONS RESEARCH STRATEGI EFISIENSI BERMULA DARI PERANG Nur Aini Masruroh
Jurnal Teknosains Vol 3, No 2 (2014): June
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/teknosains.6028

Abstract

Penggunaan nama operations research inimemang tidak dapat lepas dari sejarah awalperkembangan ilmu ini. Berawal dari zamanperang dunia kedua, ketika pemerintahanInggris dan Amerika menghadapi permasalahanterbatasnya ketersediaan logistikperang yang harus dialokasikan ke beberapaoperasi militer dan aktivitas lain yangmendukung operasi militer ini sehinggamemerlukan sebuah strategi distribusilogistik yang efektif dan efisien. Gunamerumuskan strategi ini, maka dibentuklahtim yang terdiri dari sejumlah ilmuwanuntuk mengaplikasikan pendekatan ilmiahuntuk memecahkan permasalahan ini. Timini diberi tugas untuk melakukan research on(military) operations. Tim ilmuwan inilah yangselanjutnya dikenal sebagai tim operationsresearch (OR) yang pertama kali. Salah satuhasil dari tim ini adalah hasil risetnya tentangstrategi pengaturan operasi kapal selam yangmenghasilkan kemenangan dalam perang diAtlantik utara.
PENGEMBANGAN MODEL MATEMATIKA JARINGAN SUPPLY CHAIN DENGAN MEMPERTIMBANGKAN EMISI PADA INDUSTRI DAUR ULANG KERTAS Asgar Ali; Nur Aini Masruroh
Jurnal Teknosains Vol 5, No 2 (2016): June
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/teknosains.8526

Abstract

Recycling is part of the green supply chain management which is developed base on the concept of environmentally friendly industry to respond the various issues regarding the environmental problems of the world. Distribution of recycled products starts from consumers and ends to manufacturing. The objective is to limit the waste in order to save energy and prevent the dumping of hazardous materials into the environment. However there are complexities in the supply chain because of some uncertainties such as the return of recycled product and the environmental impact resulting from the operation of supply chain. In this research, linear programming optimization method is proposed to overcome that problem with maximizing profit is set as the objective function. Emissions resulting from the recycling process are considered in the model. These results indicate that the mathematical model provides profit of Rp. 37.909.659, with 1.137.760 grams of CO2 emissions from the production process, 38.473,4 grams of CO and 5.884,9 grams HC + NOX of transport. While the proposed strategy is use the right vehicles and select the most efficient route according to the paper collected from consumers and sold to manufacturing. For the production process, it is required to add 3 pressing machines and 1 chopped machine, so the capacity of the working hours of 384 hours per month can be increased to 960 hours per month.
APLIKASI JARINGAN SARAF TIRUAN DAN PARTICLE SWARM OPTIMIZATION UNTUK PERAMALAN INDEKS HARGA SAHAM BURSA EFEK INDONESIA Desy Wartati; Nur Aini Masruroh
Jurnal Teknosains Vol 6, No 1 (2016): December
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/teknosains.27616

Abstract

Jakarta Composite Index (JCI) is the main stock index in Indonesia Stock Exchange, which indicates the movement of the performance of all stocks listed. The data of stock price index often experience rapid fluctuations in a short time, so it is needed to carry out an analysis to help investor making the right investment decisions. Forecasting JCI is one of the activities that can be done because it helps to predict the value of the stock price in accordance with the past patterns, so it can be a consideration to make a decision. In this research, there are two forecasting models created to predict JCI, which are Artificial Neural Network (ANN) model with (1) Backpropagation algorithm (BP) and (2) Backpropagation algorithm model combined with Particle Swarm Optimization algorithm (PSO). The development of both models is done from the stage of the training process to obtain optimal weights on each network layer, followed by a stage of the testing process to determine whether the models are valid or not based on the tracking signals that are generated. ANN model is used because it is known to have the ability to process data that is nonlinear such as stock price indices and PSO is used to help ANN to gain weight with a fast computing time and tend to provide optimal results. Forecast results generated from both models are compared based on the error of computation time and forecast error. ANN model with BP algorithm generates computation time of training process for 4,9927 seconds with MSE of training and testing process is respectively 0,0031 and 0,0131, and MAPE of forecast results is 2,55%. ANN model with BP algorithm combined with PSO generates computation time of training process for 4,3867 seconds with MSE of training and testing process is respectively 0,0030 and 0,0062, and MAPE of forecast result is 1,88%. Based on these results, it can be concluded that ANN model with BP algorithm combined with PSO provides a more optimal result than ANN model with BP algorithm.
THE EFFECT OF COMPETITIVE ADVANTAGE AND HUMAN ADVANTAGE ON INDUSTRIAL COMPETITIVE STRATEGY (Case Study: SMIs in Gorontalo Province) Trifandi Lasalewo; Nur Aini Masruroh; Subagyo .; Budi Hartono; Hari Agung Yuniarto
Journal of Indonesian Economy and Business (JIEB) Vol 31, No 3 (2016): September
Publisher : Faculty of Economics and Business, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (277.574 KB) | DOI: 10.22146/jieb.23179

Abstract

Small and Medium Industries (SMIs) have a strategic role in the Indonesian economy, as they earn 61.9 percent of the foreign exchange which goes to make up the nation’s Gross Domestic Product, and nationally they are able to absorb 97 percent of the workforce. The Global Competitiveness Report also notes that SMIs serve as the business units that affect every nation’s competitiveness. Considering this strategic role, the selection of a competitive strategy for these SMIs is absolutely necessary. Through an in-depth literature review, this study aims to explore what variables influence the competitive strategy of industries, particularly the SMIs. By using a Systematic Literature Review (SLR) with a total of 31 main literature (articles, papers and books), this study has found two dominant factors that influence industrial competitive strategy: Competitive advantage and human advantage, which are subsequently developed into six independent variables (construct variables), i.e. cost, delivery, product quality, product variety, know-how and innovativeness, with a total of 44 indicators. The results of measurements of the sample of SMIs in Gorontalo Province, using Structural Equation Modeling, found that both competitive advantage and human advantage jointly influence 40.2 percent of the industrial competitive strategies. These results indicate that competitive strategies, such as creating products with unique features, on-time delivery, flexibility in production, and employee involvement in the innovations, are indispensable to SMIs in order for them to produce quality products and be able to maintain their advantage.
Pemilihan provider sand consolidation dengan metode analytical hierarchy process Rony Arjuna; Joko Waluyo; Nur Aini Masruroh
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 13, No 1 (2021): Mei
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (707.574 KB) | DOI: 10.28989/angkasa.v13i1.954

Abstract

Salah satu metode sand control yang umum digunakan oleh perusahaan oil dan gas untuk pekerjaan perawatan sumur adalah sand consolidation (SCON). Selama ini, proses pemilihan provider pelaksana pekerjaan dilakukan secara lelang. Kemudian pimpinan departemen dan engineer akan memutuskan providernya. Agar proses pemilihan lebih transparan, terukur dan bisa dipertanggung jawabkan, maka diperlukan suatu sistem pengambilan keputusan yang standar dan kompatibel. Penelitian ini bertujuan untuk mengetahui parameter apa yang menjadi dasar pertimbangan dan merancang sistem pengambilan keputusannya. Metode yang digunakan dalam penelitian ini adalah Analytical Hierarchy Process (AHP). Hasil dari penelitian ini menunjukkan kriteria yang dijadikan sebagai pertimbangan adalah compatibility (0,349), safety & environment (0,229), quality (0,219), cost (0,127), dan service (0,075). Alternatif ST-α2-HL dengan bobot 0,282 merupakan provider terpilih. AHP dapat diterapkan sebagai metode yang sangat baik dalam kasus penentuan best alternatif provider SCON. Perbandingan hasil antara decision maker dan metode AHP jika dilihat dari perspektif best alternatif saja mencapai 100%.
Co-Authors Anggita Virgiana Prasetyorini Anggita Virgiana Prasetyorini, Anggita Virgiana Anna Maria Sri Asih Annisa Dewi Akbari, Annisa Dewi Ari Ariangga Orranius Putra Patarru Aris Prasetiyo Asgar Ali Budi Hartono Deny Ratna Yuniartha Desy Wartati Dinda Safitri Ramadhani Dzakiyah Widyaningrum Hari Agung Yuniarto Indah Puspitasari Irwan Aufi Istikomah, Sintha Joko Waluyo Joko Wintoko Kusnanto Kusnanto Miranda, Suci Mirwan Ushada Muhammad Kusumawan Herliansyah Niken Siwi Pamungkas Nur Mayke Eka Normasari Pramuditha, Zita Iga Putri Vicky Hapsari Rochim Bakti Cahyono Rony Arjuna Safira, Aretha Setiawan, Fran Setiawan, Fran Subagyo . Susana Evayanti Titis Wijayanto Trifandi Lasalewo Zita Iga Pramuditha