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All Journal Jurnal Teknik Industri Jurnal Rekavasi 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
Nur Mayke Eka Normasari
Universitas Gadjah Mada
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

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Healthcare warehouse: Integrated literature review Nur Mayke Eka Normasari; Wangi Pandan Sari; Laela Widiyaningsih; Azza Luthfia
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.v15i1.1545

Abstract

Gudang atau warehouse berperan penting dalam sistem logistik suatu industri atau perusahaan. Namun demikian, pengetahuan tentang healthcare warehouse yang telah dikembangkan dalam beberapa tahun terakhir masih kurang. Untuk itu, maka artikel ini menyajikan integrated literature review pertama tentang healthcare warehouse melalui pencarian di penyimpanan dari basis data Scopus. Dengan menelusuri setiap artikel terkait dengan topik tersebut, didapatkan 24 artikel yang diterbitkan dari tahun 2013-2022 dan diklasifikasikan menjadi dua topik utama: goods warehouse sebanyak 4 artikel, dengan fokus healthcare yang terdapat pada fasilitas kesehatan, dan data warehouse sebanyak 20 artikel, yang memiliki fokus pada healthcare berisi berbagai jenis data, contohnya rekam medis, barang, dan data penyakit tertentu. Semua pengetahuan yang ada dalam studi ini dirangkum sehingga pembaca (baik akademisi maupun praktisi) dapat dengan mudah mengakses kontribusi utama dan informasi yang ada dalam setiap studi.
Permutation Flowshop Scheduling in ED Aluminium Using Metaheuristic Approaches Haposan Vincentius Manalu; Fatiha Widyanti; Nur Mayke Eka Normasari; Andiny Trie Oktavia; Achmad Pratama Rifai
Journal of Industrial Engineering and Halal Industries Vol. 4 No. 2 (2023): Vol. 4 No. 2 December (2023): Journal of Industrial Engineering and Halal Indus
Publisher : Industrial Engineering Department, Faculty of Science and Engineering, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiehis.3003

Abstract

This study proposes metaheuristics to solve the permutation flowshop scheduling problem in ED Aluminium which produces kitchen utensils. The aim is to find the processing sequence of products that results in the shortest total completion time, minimizing makespan and total flowtime. Three metaheuristics are developed, which are Simulated Annealing (SA), Large Neighborhood Search (LNS), and Ant Colony Optimization (ACO). Experiments are performed in this research to evaluate the three algorithms. The result using the simulated annealing algorithm is considered better because it has a shorter makespan. The contribution of this study is developing Simulated Annealing, Large Neighborhood Search, and Ant Colony Optimization to solve the problem.
Capacitated Location Allocation Problem of Solar Power Generation in Indonesia using Particle Swarm Optimization Astungkatara, Arya Wijna; Fath, Hamzah; Putri, Oktaviana; Yana, Anak Agung Istri Anindita Nanda; Normasari, Nur Mayke Eka; Oktavia, Andiny Trie; Rifai, Achmad Pratama
Jurnal Teknik Industri Vol. 25 No. 1 (2024): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol25.No1.55-72

Abstract

Indonesia has abundant potential for solar energy. The decrease in the cost of solar power generation components can bolster the development of solar power plants. Due to its geographical characteristics, it is essential to analyze the feasibility of using solar power plants as a primary renewable energy source in Indonesia, especially in Sumatra Island. One of the critical aspects of developing solar power plants is determining the suitable location of the power plant and allocating the electricity generated to the regions. Therefore, this study considers the Capacitated Location Allocation Problem (CLAP) to determine the optimal placement of solar power plants on Sumatra Island to minimize investment and transmission costs. To address the problem, we explore three metaheuristics, namely Particle Swarm Optimization (PSO), Simulated Annealing (SA), and Large Neighborhood Search (LNS). The results obtained by these metaheuristic methods show significant differences in cost, with SA providing the best solution with the lowest cost. The investment and transmission cost can be minimized by solving the CLAP to obtain optimal solar power plant placement while enhancing the region's resilience in implementing distributed generation.
PENGEMBANGAN NEURAL NETWORK UNTUK PREDIKSI KUALITAS AIR Safira, Aretha; Sarudi As., L. M.; Puspitasari, Afifa; Normasari, Nur Mayke Eka; Rifai, Achmad Pratama
Jurnal Rekavasi Vol 10 No 2 (2022)
Publisher : Prodi Teknik Industri, Universitas AKPRIND Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34151/rekavasi.v10i2.4014

Abstract

Research on artificial intelligence to determine water quality has been widely developed as a human endeavor toimprove the quality of life. This study employs an artificial neural network (ANN) to determine the optimalclassification model for determining the safety of water. This study uses existing Kaggle generic datasets. Numerouspreprocesses were performed on the dataset starting from cleaning the data from missing values and outliers toequalizing the weights of each parameter with the min-max scaler. This study compares the accuracy of ANN modelin various scenarios constructed with 10, 15, 20, and 30 neurons. Scaled Conjugate Gradient is implemented as thelearning algorithm for developing the prediction model. The obtained results of the experiments vary betweenscenarios. Overall accuracy increases when the number of neurons is between 10 and 20, and decreases when thenumber of neurons is between 20 and 30.
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.
Artificial Neural Network for Benchmarking the Dimensional Accuracy of the PLA Fused Flament Fabrication Process Setiawan, Kevin Stephen; Tanaji, Irvantara Pradmaputra; Permana, Ari; Akbar, Hafizh Naufaly; Prihatmaja, Dhonadio Aurell Azhar; Normasari, Nur Mayke Eka; Rifai, Achmad Pratama; Pamungkasari, Panca Dewi
Green Intelligent Systems and Applications Volume 4 - Issue 2 - 2024
Publisher : Tecno Scientifica Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53623/gisa.v4i2.522

Abstract

Fused Deposition Modeling (FDM) is an additive manufacturing technique that uses a 3D printer to extrude molten filament through a nozzle, which moves along the X, Y, and Z axes to create parts with the desired geometry. FDM offers numerous advantages, especially for producing parts with complex shapes, due to its ability to enable rapid and cost-effective manufacturing compared to traditional methods. This study implemented an Artificial Neural Network (ANN) to optimize process parameters aimed at minimizing dimensional inaccuracies in the FDM process. Key parameters considered for optimization included the number of shells, infill percentage, and nozzle temperature. The ANN utilized three algorithms: Scaled Conjugate Gradient, Bayesian Regularization, and Levenberg-Marquardt. Model performance was evaluated based on dimensional deviations along the X and Y axes, with a hidden layer of 25 neurons. Among the algorithms, Scaled Conjugate Gradient provided the most accurate results in minimizing dimensional errors.
Evaluasi Kinerja Hotel Hijau dengan Metode Green Score dan AHP di Bali Yana, Anak Agung Istri Anindita Nanda; Normasari, Nur Mayke Eka
Bali Membangun Bali: Jurnal Bappeda Litbang Vol 5 No 3 (2024): December 2024
Publisher : Badan Riset dan Inovasi Daerah Provinsi Bali

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

Abstract

Purpose: The purpose of this study is to evaluate the Green Supply Chain performance of hotels in Bali. Research methods: This study uses primary data obtained from questionnaires using a sample of three division heads per hotel and secondary data obtained from past hotel data. The data is processed using excel. Results and discussion: Two hotels obtained results of 66.48 and 75.02. These scores fall into the Average and Good grades. There needs to be some prioritized improvements with SNORM scores below 60 from two different hotels, namely water used, energy used, % suppliers with an EMS or ISO 1400 certification, supplier lead time, delivery item accuracy, and source flexibility. Implication: Recommendations that can be given are the use of PLTS, other water sources, and good communication with suppliers.
A Systematic Review of Key Factors Influencing Farmers' Economic Well-Being in the Rice Supply Chain Normasari, Nur Mayke Eka; Hartanto, Angela Kirana; Sakti, Fikri Amori; Lekatompessy, Gregor Dalton Maranatha; Septiangga, Ibnu Jourga; -, Kevin; Febriani, Maria; Rahman, Muhammad Alif; Rachmadani, Muthi Amelia
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 17, No 2 (2025)
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/angkasa.v17i2.3087

Abstract

The economic well-being of farmers in Indonesia's rice supply chain is influenced by multiple structural and systemic challenges. This study conducts a systematic literature review (SLR) by analyzing 56 articles from 10 different countries published in the last six years to identify key factors impacting farmers' financial resilience and sustainability. Findings highlight significant price volatility, limited market access, high production costs, and dependency on intermediaries, which collectively hinder economic stability. Additional challenges include inadequate government support, technological gaps, climate-related risks, and inefficiencies in supply chain management. Addressing these issues requires integrated policy interventions, improved infrastructure, and cooperative strategies to enhance farmers' livelihoods and promote a more equitable rice supply chain.
Evaluasi Kinerja Hotel Hijau dengan Metode Green Score dan AHP di Bali Yana, Anak Agung Istri Anindita Nanda; Normasari, Nur Mayke Eka
Bali Membangun Bali: Jurnal Bappeda Litbang Vol 5 No 3 (2024): December 2024
Publisher : Badan Riset dan Inovasi Daerah Provinsi Bali

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

Abstract

Purpose: The purpose of this study is to evaluate the Green Supply Chain performance of hotels in Bali. Research methods: This study uses primary data obtained from questionnaires using a sample of three division heads per hotel and secondary data obtained from past hotel data. The data is processed using excel. Results and discussion: Two hotels obtained results of 66.48 and 75.02. These scores fall into the Average and Good grades. There needs to be some prioritized improvements with SNORM scores below 60 from two different hotels, namely water used, energy used, % suppliers with an EMS or ISO 1400 certification, supplier lead time, delivery item accuracy, and source flexibility. Implication: Recommendations that can be given are the use of PLTS, other water sources, and good communication with suppliers.
Health Care Routing Problem: A Systematic Literature Review Wijayanti, Erny Rahayu; Normasari, Nur Mayke Eka; Purnama, Siti Aghnia Salsabilla; Faisa, Kurniawan Nur
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 15, No 2 (2023): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/angkasa.v15i2.1864

Abstract

Routing issues have recently gained the attention of many researchers due to the various advantages they provide. Minimizing costs, travel time, and the number of workers will help company resolve the issue. This paper contains a review of 53 papers characterized by their objectives, function, and method of completion. There are two types of objective functions: single-objective functions and multiple-objective functions. Exact method, hybridization and simulation methods, heuristic, and metaheuristic are the solution methods used. Further research is supposed to generate advanced metaheuristic algorithms that have already been revealed to be useful for both single and multi-objective problems in this field. A more in-depth investigation of the performance of metaheuristic algorithms is required in future research.
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 Astungkatara, Arya Wijna Azza Luthfia 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 Hartanto, Angela Kirana Joko Waluyo Laela Widiyaningsih Lekatompessy, Gregor Dalton Maranatha Ludwika, Adinda Sekar Manalu, Haposan Vincentius Mohamad, Rakan Raihan Ali Muallifah, Nabilah Muhammad Kusumawan Herliansyah Muhammad Raihan Hilmy Nabilah Muallifah 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 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