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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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Model Penjadwalan Pengiriman Pasokan pada Strategi Multi-Supplier dengan Variasi Harga dan Lead Time untuk Permintaan Stokastik Nur Aini Masruroh; Anggita Virgiana Prasetyorini
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 17 No. 1 (2015): JUNE 2015
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (480.646 KB) | DOI: 10.9744/jti.17.1.35-46

Abstract

Multi-supplier is one of the strategies to minimize holding cost and average stock-out cost as long as to stabilize the supply of raw materials. The common problems that the firms may face when applying the multi-supplier strategy are determining the right schedule and quantity ordered for each supplier. Complexity of the problem increases with the facts that each supplier may have different parameters, demand is uncertain, and the firms’ constraints. Thus, this research is done to answer two main objectives: (1) to determine the optimum safety time (minimum raw material inventory) to prevent the stockout due to the demand uncertainty and (2) to determine the right schedule and quantity ordered for each supplier considering the different suppliers parameters: price, lead time, and supply capacity. The problem is modeled in Mixed Integer Linear Programming with total minimum inventory cost as the objective. With the aim of testing the model, a case of multinational company that apply the multi-supplier strategy is used.
On Modelling and Solving Heterogeneous Vehicle Routing Problem with Multi-Trips and Multi-Products Fran Setiawan; Nur Aini Masruroh; Zita Iga Pramuditha
Jurnal Teknik Industri Vol. 21 No. 2 (2019): December 2019
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (672.059 KB) | DOI: 10.9744/jti.21.2.91-104

Abstract

Vehicle routing problem (VRP) is a model to determine an optimal routing plan for a fleet of homogeneous vehicles to serve a set customer which some operational constraints are satisfied. In most practical distribution problems, customer demands are served using heterogeneous fleet of vehicles. This kind of VRP is called Heterogeneous Vehicle Routing Problem (HVRP). HVRP has evolved into a rich research area because of its practical. There were many studies of rich extensions of the standar HVRP. This research aims to enrich the extentions of HVRP which is motivated by real case in one of pharmacy distribution company in Indonesia which is delivered multi-products to its 55 customers by allowing some vehicles which has small capacity to perform multi-trips. This problem is called Heterogeneous Vehicle Routing Problem with Multi-Trips and Multi-Products (HVRPMTMP).The mixed integer linear programming is developed based on four-index vehicle flow formulation. The model can be used generally in the same context of distribution problem. HVRPMTMP is generally NP-Hard problem, so the computational time using branch and bound in LINGO 16.0 is increasing exponentially by increasing the number of customers. Genetic algorithm is proposed to solve the real case. The result of the proposed GA can reduce the total cost from Rp 352540.6,- to Rp 180555,- or 48.78% from the current company policy.
Development of the Sea Fishery Supply Chain Performance Measurement System: A Case Study Dzakiyah Widyaningrum; Nur Aini Masruroh
International Journal of Supply Chain Management Vol 1, No 3 (2012): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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

Abstract

Good performance measurement system is required to assess the success of supply chain. However, choosing the most appropriate indicator is not easy as it depends on the systems characteristics. Sea fishery industry characterized as perishable products, seasonal in production, and highly dependence on nature (uncontrollable). Motivated by the uniqueness of the sea fishery industry, this work proposed a performance measurement system for the sea fishery supply chain. The performance of the proposed model is evaluated using Indonesian sea fishery supply chain case, mostly consists of small and medium enterprises (SME). This instrument has six dimensions; efficiency, flexibility, responsiveness, product quality, process quality, facilities, and government involvement. Beside having specific indicators of sea fishery industry, the proposed instrument also considers the involvement of government. Further, this instrument can be used not only for monitoring but also suggesting directions for improvement.
Pemilihan vendor untuk kegiatan Dredging di blok Mahakam Kalimantan Timur menggunakan metode Analytical Hierarchy Process Aris Prasetiyo; Nur Aini Masruroh; Kusnanto Kusnanto
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 14, No 1 (2022): Mei
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1292.768 KB) | DOI: 10.28989/angkasa.v14i1.1121

Abstract

Before carrying out drilling, the rig and its supporting fleet must pass through the swamp area in the Mahakam Block. In order to pass through the area, dredging activities are needed. Mistakes in choosing a dredging vendor will result in delays that incur huge costs. This study aims to determine the right criteria for selecting vendors using the Analytical Hierarchy Process (AHP). By using the open system AHP through a rating approach, any number of vendors will be able to be assessed. The results of the study are the weight of the criteria and the intensity of the rating: the price criterion (weight 0.36) with 3 rating intensities (weight according to the estimate: 1, above the estimate: 0.794, below the estimate: 0.630), the HSE Index criteria (weight 0.263) with 5 rating intensities (excellent weight: 1, good: 0.626, adequate: 0.292, fair: 0.158, poor: 0.138), criteria for production facilities and capacity (weight 0.176) with 3 rating intensities (weight above target: 1, on target: 0.437, below target 0.191), quality criteria (weight 0.113) with 4 rating intensities (very good weight: 1, good: 0.516, adequate: 0.191, poor: 0.135) and financial condition criteria (weight 0.089) with 3 rating intensities (healthy weight: 1, unhealthy: 0.252, bankrupt: 0.159). 
PERBAIKAN PADA FISHBONE DIAGRAM SEBAGAI ROOT CAUSE ANALYSIS TOOL Hari Agung Yuniarto; Annisa Dewi Akbari; Nur Aini Masruroh
JURNAL TEKNIK INDUSTRI Vol. 3 No. 3 (2013): Volume 3 No 3 November 2013
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (199.143 KB) | DOI: 10.25105/jti.v3i3.1565

Abstract

Diagram Fishbone (tulang ikan), atau biasa pula disebut ishikawa diagram ataupun cause effectdiagram, adalah salah satu dari root cause analysis tools yang paling populer di kalangan praktisi industriuntuk melakukan quality improvement mendasarkan pada usaha mengenali akar penyebab terjadinya variasipada quality characteristics tertentu yang ingin dicapai. Meski telah banyak dipakai di dunia industri,disayangkan tool ini menderita kelemahan karena tidak memfasilitasi analisa korelasi antar potential rootcauses dari masing-masing kategori yang ada (5M1E - man machine method measurement materialenvironment), selain tentu saja penyajian datanya yang hanya kualitatif. Kelemahan ini diyakini menjadikontributor utama penyebab kegagalan fishbone diagram dalam mengenali root causes yang berupa sumbervariasi common cause dan hanya mampu mengenali yang berasal dari sumber variasi special cause. Bertolakbelakang dengan karakteristik special cause variations, common cause variations adalah variasi yang terjadipada quality characteristics tertentu yang ingin dicapai di mana kemunculannya tidak mudah teridentifikasidan jikapun berhasil dikenali akan sulit dihilangkan karena sifatnya yang seolah adalah merupakan bagiandari sistem (embedded in a system), cenderung berakar penyebab berupa soft factors serta kemunculannya yangtidak random namun tersamar dalam pola tertentu.Penelitian ini bertujuan melakukan improvement pada kelemahan yang terdapat di fishbone diagramdengan mengadopsi kelebihan yang dimiliki oleh bayesian network agar mampu mengenali root causes yangmerupakan common cause variations. Kelebihan bayesian network mengatasi kekurangan fishbone diagram,demikian pula sebaliknya. Oleh karena itu, analisa dilakukan terhadap fishbone diagram dan bayesian networkuntuk mengenali characteristics dan kelebihan/kekurangannya. Hasil dari analisa tersebut mengarahkan padasifat-sifat komplementer dari keduanya yang diyakini mampu mengisi gap pada fishbone diagram.Mendasarkan padanya, dikembangkan sebuah model untuk mengintegrasikan konsep serta sifat komplementeryang dimiliki bayesian network dan fishbone diagram. Model ini merepresentasikan metodologi baru dalamroot cause analysis, bayes-fishbone. Metodologi yang dikembangkan ini kemudian diujikan ke sebuah casestudy company untuk melihat applicability-nya.Hasil dari penelitian ini menunjukkan bahwa metodologi bayes-fishbone yang dikembangkan terbuktitelah valid mampu merepresentasikan kondisi probabilitas produk cacat sebenarnya pada case study companydengan prosentase perbedaan nilai yang ditunjukkan antara model yang dikembangkan dengan kondisi aktualyang besarnya tidak signifikan yaitu kurang dari 1 % (0,9597%). Dengan menerapkan metode contructiveresearch approach, terbukti pula bahwa metodologi bayes-fishbone berhasil lolos weak-market test yangmenunjukkan bahwa metodologi yang dikembangkan applicable pada case study company atau perusahaan lainyang sejenis characteristics dan production process-nya.
Evaluasi pemilihan teknologi Co-firing Biomassa pada PLTU batu bara dengan Metode Analytical Hierarchy Process (Studi Kasus: PLTU XYZ) Irwan Aufi; Joko Wintoko; Nur Aini Masruroh
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 15, No 1 (2023): Mei
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/angkasa.v15i1.1641

Abstract

Biomass co-firing technology is one way to accelerate the transition to renewable energy in Indonesia. Co-firing is currently used for the mixed combustion of coal and biomass in steam power plants with a certain blending ratio. One of the PLTU’s that has implemented co-firing technology in Indonesia is PLTU XYZ. However, as the co-firing technology progresses, PLTU XYZ experiences a number of problems, both in technical and non-technical areas. This study aims to evaluate the most appropriate co-firing technology that can be used for PLTU XYZ. The method used in this study is the Analytical Hierarchy Process (AHP). The results of this study indicate that the most effective criteria are economic and environmental, with weights of (0.4383) and (0.3024) followed by technical (0.1904) and social (0.0689). The most appropriate biomass co-firing technology currently used for PLTU XYZ is direct co-firing with the highest weight (0.7080) followed by indirect co-firing (0.1753) and parallel co-firing (0.1165).
Techniques for Improving Genetic Algorithms in Solving Operating Room Scheduling Problems: An Integrative Review Yuniartha, Deny Ratna; Normasari, Nur Mayke E.; Waluyo, Joko; Masruroh, Nur Aini; Herliansyah, Muhammad Kusumawan
International Journal of Industrial Engineering and Engineering Management Vol. 6 No. 1 (2024)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v6i1.8903

Abstract

Operating room scheduling is a complex process that involves various resources and takes the interests of many parties into consideration. The genetic algorithm is the frequently used metaheuristic algorithm to solve a large-size operating room scheduling problem. Many techniques have been developed to improve the genetic algorithms' performance in dealing with the operating room scheduling complexity. In this paper, we survey available literature to identify improvement techniques used at each stage of the genetic algorithm and capture the underlying problems. This review provides a mapping of improvement techniques in genetic algorithms correlating with the considered problems. The results can be employed by other researchers as a guide for future research in integrating a genetic algorithm or other population-based metaheuristic algorithm with a recent heuristic algorithm following the future directions of operating room scheduling research.
EFFECTS OF CONSUMERS’ SENSORY ATTRIBUTES ON THEIR WILLINGNESS TO PAY AND THE OPTIMUM PRICE FOR ICED COFFEE DRINKS Safira, Aretha; Masruroh, Nur Aini; Wijayanto, Titis
J@ti Undip: Jurnal Teknik Industri Vol 19, No 2 (2024): Mei 2024
Publisher : Departemen Teknik Industri, Fakultas Teknik, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jati.19.2.88-95

Abstract

The growing competition among coffee shops demands effective strategies, including the development of optimal pricing. An optimal pricing strategy must account for both changes in coffee ingredients and consumers' willingness to pay (WTP). This study investigated the factors influencing consumers' WTP and determined optimal prices through sensory evaluations of iced coffee. This study explored how demographic factors and sensory characteristics affect consumer WTP. This study involved direct consumer tastings, where participants provided subjective ratings of iced coffee and indicated their WTP. The coffee samples included variations in milk (white and black coffee) and sugar content (granulated sugar, palm sugar, and no sugar). To measure WTP, the Becker-DeGroot-Marschak (BDM) mechanism was employed, while a demand function was used to determine the optimal price. Stepwise backward logistic regression further analyzed the factors affecting WTP. The factors influencing willingness to pay were further analyzed using stepwise backward logistic regression. The findings reveal that optimal pricing varies, with iced coffee that includes both granulated sugar and milk commanding the highest WTP. Consumer WTP is significantly influenced by factors such as gender, frequency of coffee consumption, and individual taste preferences. There was a marked difference in WTP based on the amount of milk and sugar added, with coffee variations containing both granulated sugar and milk achieving the highest WTP. These results can serve as a valuable reference for coffee shops, helping them to determine the ideal product composition and pricing strategies to maximize revenue.
PIAT DEVELOPMENT TOWARDS WELLNESS TOURISM WITH KANSEI ENGINEERING AND KANO MODELS Istikomah, Sintha; Ushada, Mirwan; Masruroh, Nur Aini
ASEAN Journal of Systems Engineering Vol 6, No 2 (2022): ASEAN Journal of Systems Engineering
Publisher : Master in Systems Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ajse.v6i2.78753

Abstract

Wellness tourism is one of the efforts to revive the Indonesian tourism sector during the transition period of the pandemic to endemic. People seek prevention and health maintenance by traveling to get a better quality of life. Giving rise to wellness tourism as wellness and health tourism in the form of health care based on a healthy natural environment and restoration of relaxation. One of the innovations carried out by PIAT is the development of agro-industry by applying the concept of wellness tourism. Tourist attractions will be more valuable if they can meet the needs of the highest level, namely pleasure. This study aims to: (1) identify the words Kansei of prospective tourists related to wellness tourism. (2) determine the concept model of wellness tourism atmosphere design that suits the pleasure needs of tourists. (3) improve the products and services of the Agrotechnology Innovation Center (PIAT) based on the priority attribute of tourist needs. This research used the Kansei engineering method and the kano model. Semantic Differential (SD) Questionnaire 1 to capture images of wellness attractions. Kansei engineering begins with the collection of tourist pleasure needs in the form of Kansei word, simplifying Kansei word with factor analysis, categorization analysis of Kano models, identification of technical attributes, dissemination of SD 2 questionnaires and questionnaire analysis with quantification theory 1 (QT1) to determine the correlation between tourist attributes and design concepts quantitatively. The results obtained from the first questionnaire, there are nine Kansei words that describe wellness tourism places at PIAT UGM, namely "Worthy-Shady", "Quite Adequate-Good", "Warm-Cool", "Spread-Neat", "Somber-Fun", "Set-Customized", "General-Local Wisdom", "Independent-Existence of Guides", and "Vintage-Latest (Update)". The order of priority of improvement is based on the attraction & one attribute. In addition, this study produced five concepts of wellness tourism service design atmosphere that suit the pleasure needs of tourists, namely: "cool", "local wisdom", "fun", "the presence of a guide", and "good". The results showed that all service design concepts have an R-value of more than 0.8 so all concepts are used in determining service design prototypes.
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