Article Per Year (5 Year)
p-Index From 2021 - 2026
3.138
P-Index
This Author published in this journals
All Journal Jurnal Teknik Industri Jurnal Rekavasi OPSI Jurnal Pengabdian Kepada Masyarakat (Indonesian Journal of Community Engagement) Angkasa: Jurnal Ilmiah Bidang Teknologi Prosiding Seminar Nasional Sains dan Teknologi Terapan Jurnal Bali Membangun Bali Jurnal Optimasi Teknik Industri (JOTI) International Journal of Industrial Engineering and Engineering Management Green Intelligent Systems and Applications Journal of Industrial Engineering and Halal Industries Spektrum Industri Jurnal Teknik Silitek
Nur Mayke Eka Normasari
Department Of Mechanical & Industrial Engineering, Faculty Of Engineering, Gadjah Mada University, Yogyakarta 55281, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Transportation Other

Published : 25 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 25 Documents
Search

 1   2   3 
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.
Facility Layout Planning of Sheet Metal Working Industry Using Metaheuristics Ludwika, Adinda Sekar; Shalehah, Mar’atus; Mohamad, Rakan Raihan Ali; Oktavia, Andiny Trie; Normasari, Nur Mayke Eka; Tho, Nguyen Huu; Rifai, Achmad Pratama
Spektrum Industri Vol. 22 No. 2 (2024): Spektrum Industri - October 2024
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v22i2.141

Abstract

The design of facility layout in a production floor determines the level of effectiveness and efficiency of the production process. Errors in arranging the layout in the production floor can disrupt the continuity of the production process and prevent optimal results. Production activities that occur over a long period of time make any inaccuracies in layout planning result in significant losses. In companies with Job Shop production type, which is characterized by identical products and varied processes, the production flow changes with each product made. Based on these issues, this research aims to optimize the layout in a company engaged in sheet metal working industry using metaheuristic algorithms such as Simulated Annealing (SA), Large Neighborhood Search (LNS), Adaptive Large Neighborhood Search (ALNS), and Ant Colony Optimization (ACO). The best total distance results were obtained by the SA, LNS, and ALNS algorithms, with a total travelled distance of 897,171 meters and a facility arrangement of 7-5-6-4-3-2-1 or 1-2-3-4-6-5-7. Additionally, considering computation time, the SA algorithm is the best choice as it has the fastest computation time compared to other algorithms.
Inventory optimization of perishable items using a shelf life-based heuristic approach Nadiah Khairunnisa; Nur Mayke Eka Normasari
OPSI Vol 18 No 2 (2025): OPSI - December 2025
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v18i2.15481

Abstract

This study develops a practical inventory control model for perishable pharmaceutical products by addressing the common limitation of traditional inventory methods that often overlook product shelf life or require complex optimization procedures. The proposed model enhances practicality by integrating shelf-life considerations into the (R, nQ) heuristic approach, allowing order quantities and reorder points to be determined through a simple and easily implementable procedure. This approach is further combined with a multi-criteria ABC classification that incorporates annual demand, lead time, and unit cost, enabling more informed prioritization of inventory items. The model was applied to 243 pharmaceutical products in a health department. The results show that incorporating shelf-life constraints reduced the inventory value of items exceeding their usable period by 45% and generated an overall 2% decrease in total inventory value. These findings demonstrate the model’s ability to minimize waste due to expiration while maintaining operational feasibility. By offering a straightforward and shelf-life–integrated decision rule, the model provides a more practical alternative to existing inventory methods, especially in healthcare settings with limited analytical resources.
An evaluation of life cycle assessment and cost-benefit analysis of an ecoprint fabric micro, small, and medium enterprise in Yogyakarta Lathiifah Thawafani; Bella Renata Valencia; Muhammad Achirudin Buchari; Arie Dwi Zarliansyah; Nur Mayke Eka Normasari; Sinta Rahmawidya Sulistyo; Yoshi Budiyanto
OPSI Vol 19 No 1 (2026): OPSI - June 2026
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v19i1.15727

Abstract

The rapid growth of the fashion industry has led to the emergence of fast fashion, which often overlooks its environmental impacts. In contrast, environmentally conscious practices are being adopted by some enterprises, including an MSME located in Yogyakarta, Indonesia, specializing in ecoprint fabric production. To evaluate its environmental and economic performance, this study conducts a Life Cycle Assessment (LCA) and Cost-Benefit Analysis (CBA) focusing on green production, green transportation, and green packaging. LCA results show that the use of LPG in the steaming process has notable environmental impacts, particularly in fossil depletion (0.00076), climate change–human health (0.000359), and human toxicity (0.0000956). Based on these findings, Solar PV was evaluated as an improvement condition to reduce dependence on LPG and mitigate environmental impacts across several categories. However, human toxicity increased from 9.56E-05 to 0.00164, indicating environmental trade-offs throughout the life cycle. The CBA results indicate that the existing production system is economically feasible, with NPV of IDR 58,781,312, IRR of 9%, BEP of 2,136.34 units (IDR 534,084,829.96), Payback Period of 5.52 years, and BCR of 1.40. This implies that the project is already economically feasible under current LPG use, while the substitution with Solar PV further enhances its sustainability and overall benefits.
SUPPLY CHAIN RISK MANAGEMENT PADA PRODUKSI ALAT SUNTIK VAKSIN MENGGUNAKAN FAULT TREE ANALYSIS (FTA) DAN FAILURE MODE AND EFFECT ANALYSIS (FMEA) Lathiifah Thawafani; Lukman Adhitama; Indriani Yosida Erline; Listia Anjani; Muchamad Nurudduja Al Kautsar; Nur Mayke Eka Normasari
Jurnal Teknik SILITEK Vol. 6 No. 01 (2026)
Publisher : Fakultas Teknik Universitas Pasifik Morotai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51135/1c31kh50

Abstract

Tahun 2020 dimana terjadi pandemi covid-19 memberikan tantangan terutama pada industri yang bergerak di bidang kesehatan. Terjadinya hal tersebut menyebabkan kebutuhan terkait alat medis meningkat drastis. Peningkatan yang tajam secara tiba-tiba tidak sebanding dengan kemampuan produsen dalam memenuhi permintaan tersebut. Hal tersebut juga terjadi di PT Nipro Indonesia Jaya yang merupakan perusahaan yang memproduksi alat suntik (syringe). Masalah yang timbul di perusahaan terkait dengan rantai pasok bahan dan produk alat suntik tersebut harus ditangani dengan baik. Oleh karena itu, perlu dilakukan analisis Supply Chain Risk Management (SCRM) Penelitian ini bertujuan untuk menganalisis risiko untuk produk alat suntik yang meningkat karena banyak dibutuhkan selama pandemi untuk pelaksanaan vaksin. Proses penelitian ini diawali dari mengidentifikasi risiko hingga memberikan mitigasi risiko yang terdapat di perusahaan. Penelitian dilakukan menggunakan metode Fault Tree Analysis (FTA) dan metode Failure Mode and Effect Analysis (FMEA). Berdasarkan FTA diketahui bahwa masalah utama yang muncul yaitu tambahan biaya pinalti karena keterlambatan pengiriman alat suntik vaksin ke distributor, dimana terdapat delapan masalah yang menyebabkan terjadinya masalah utama. Analisis FMEA menunjukkan bahwa terdapat delapan kegagalan yang termasuk kedalam kategori risiko tinggi. Masing-masing risiko kemudian mendapat rekomendasi yang tepat untuk dapat ditangani.
Co-Authors -, Kevin Achmad Pratama Rifai Achmad Pratama Rifai Afifa Puspitasari Akbar, Hafizh Naufaly Andiny Trie Oktavia Anjas Fikhri Warangga Anjas Fikhri Warangga Anna Maria Sri Asih Arie Dwi Zarliansyah Astungkatara, Arya Wijna Azza Luthfia Bella Renata Valencia Bertha Maya Sopha Choirul Yofi Deny Ratna Yuniartha Faisa, Kurniawan Nur Fath, Hamzah Fatiha Widyanti Fauzi Arsyad Hendrawan Febriani, Maria Fitri Trapsilawati Hanifah Nabila Wismadi Haposan Vincentius Manalu Hartanto, Angela Kirana Indriani Yosida Erline Joko Waluyo Laela Widiyaningsih Lathiifah Thawafani Lathiifah Thawafani Lekatompessy, Gregor Dalton Maranatha Listia Anjani Ludwika, Adinda Sekar Lukman Adhitama Mohamad, Rakan Raihan Ali Muallifah, Nabilah Muchamad Nurudduja Al Kautsar Muhammad Achirudin Buchari Muhammad Kusumawan Herliansyah Muhammad Raihan Hilmy Nabilah Muallifah Nadiah Khairunnisa Nugrahandika, Widyasari Her Nur Aini Masruroh Nurul Lathifah Oktavia, Andiny Trie Pamungkasari, Panca Dewi Permana, Ari Prayoga Yudha Pamungkas Prihatmaja, Dhonadio Aurell Azhar Purnama, Siti Aghnia Salsabilla Puspitasari, Afifa Putri, Oktaviana Rachmadani, Muthi Amelia Rahman, Muhammad Alif Safira, Aretha Sakti, Fikri Amori Sarudi As., L. M. Septiangga, Ibnu Jourga Setiawan, Kevin Stephen Shalehah, Mar’atus Sinta Rahmawidya Sulistyo Tanaji, Irvantara Pradmaputra Thariq Faros Manumono Tho, Nguyen Huu Wangi Pandan Sari Warangga, Anjas Fikhri Widyasari Her Nugrahandika Wijayanti, Erny Rahayu Yana, Anak Agung Istri Anindita Nanda Yoshi Budiyanto