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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Teknik Industri J@TI (TEKNIK INDUSTRI) Jurnal Rekavasi SITEKIN: Jurnal Sains, Teknologi dan Industri JURNAL PASTI (PENELITIAN DAN APLIKASI SISTEM DAN TEKNIK INDUSTRI) Jurnal Ilmiah Teknik Industri JOURNAL OF INDUSTRIAL AND MANUFACTURE ENGINEERING Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Jurnal Teknik Industri : Jurnal Hasil Penelitian dan Karya Ilmiah dalam Bidang Teknik Industri Jurnal Mutu Pangan : Indonesian Journal of Food Quality International Journal of Advances in Data and Information Systems Jurnal Media Teknik dan Sistem Industri Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Optimasi Teknik Industri (JOTI) Industrika : Jurnal Ilmiah Teknik Industri Go-Integratif : Jurnal Teknik Sistem dan Industri Green Intelligent Systems and Applications Journal of Industrial Engineering and Halal Industries Spektrum Industri
Achmad Pratama Rifai
Department Of Mechanical And Industrial Engineering, Universitas Gadjah Mada
Religion Agriculture, Biological Sciences & Forestry Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Public Health Transportation Other

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Perancangan Tata Letak Fasilitas UKM Kerajinan Kayu Dengan Metode Simulated Annealing Ainayyah Bintang Agista; Asa Pragasel Natuna; Hans Bastian Wangsa; Jordiva Fernanda; Naufal Nur Akmal; Achmad Pratama Rifai
JOURNAL OF INDUSTRIAL AND MANUFACTURE ENGINEERING Vol 5, No 2 (2021): EDISI NOVEMBER
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jime.v5i2.5673

Abstract

UKM XYZ merupakan UKM yang berfokus pada produksi kerajinan kayu. Saat ini UKM XYZ memiliki 12 departemen dengan tipe produksi product layout dan material flow yang besar setiap harinya dengan jarak tempuh material yang jauh. UKM XYZ memiliki masalah pada penumpukan bahan baku yang menyebabkan ketidaksanggupan untuk memenuhi permintaan pelanggan secara tepat waktu. Oleh karena itu, proses perencanaan tata letak produksi yang matang dibutuhkan untuk mengurangi jarak tempuh dalam perpindahan material dengan cara membuat layout baru yang sesuai dengan alokasi area yang diberikan. Digunakan tiga metode untuk penentuan layout baru, yaitu metode Dimensionless Block Diagram, Simulated Annealing, dan Modified Spanning Tree. Dihasilkan alternatif layout terbaik dari masing-masing metode tersebut yang kemudian dibandingkan untuk mengetahui layout terbaik untuk digunakan. Pemilihan layout dilakukan dengan cara melihat total travelled distance terkecil, yang didapatkan oleh metode Simulated Annealing dalam model double row layout dengan menghasilkan travelled distance 1082,248. Dikarenakan tipe dari produksi ini merupakan product layout, maka urutan peletakan workstation pada layout yang terbentuk urut sesuai dengan alur produksinya.
Perancangan Tata Letak Fasilitas Industri Bakery dengan Pendekatan Model Single Row dan Double Row Layout Achmad Pratama Rifai; Devita Ayuni Kusumaningsih; Alfarasyied Syahrizad; Arista Adriani; Fahreza Baskara Hediandra; Ihsan Ramadhana; Radhitya Virya Paramasuri Sunarso; Syahdan Haris Abdilah
Jurnal PASTI (Penelitian dan Aplikasi Sistem dan Teknik Industri) Vol 17, No 1 (2023): Jurnal PASTI
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/pasti.2023.v17i1.001

Abstract

Usaha Mikro Kecil dan Menengah (UMKM) merupakan kontributor besar terhadap perekonomian Indonesia. Akan tetapi, masih banyak UMKM yang bergelut pada isu kualitas produk dan proses produksi yang kurang efektif dan efisien. Salah satunya adalah XYZ Bakery di Bantul, Yogyakarta yang mengalami permasalahan dari segi peletakan area dan permesinan yang mengakibatkan tingginya waktu perpindahan material. Perbaikan diperlukan guna mendesain ulang tata letak departemen dan mesin agar memudahkan perpindahan barang dan kenyamanan pekerja. Langkah yang dilakukan mencakup observasi pabrik, desain tata letak, serta perbaikan dengan pertimbangan alur produksi, perpindahan barang, dan allowance. Metode analisis peletakan tata letak fasilitas menggunakan Activity Relationship Diagram dan Dimensionless Block Diagram. Dalam penelitian ini, optimasi peletakan mesin dilakukan menggunakan Simulated Annealing (SA) dan Modified Spanning Tree (MST). Hasil penelitian menunjukkan peletakan mesin secara single row dengan SA dan MST menghasilkan urutan sama. Sedangkan layout dengan total travelled distance terendah adalah hasil dari SA dengan skema double row.
Convolutional Neural Network for Identification of Personal Protective Equipment Usage Compliance in Manufacturing Laboratory Khania O.P.P. Nugraha; Achmad Pratama Rifai
Jurnal Ilmiah Teknik Industri Vol. 22, No. 1, June 2023
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v22i1.21826

Abstract

Data from the Badan Penyelenggara Jaminan Sosial (BPJS) Ketenagakerjaan Indonesia from 2019 to 2021 shows that the number of work accident victims who claimed Work Accident Insurance (Jaminan Kecelakaan Kerja / JKK) continues to increase. The high number of work accidents is mostly caused by unsafe behavior at work sites, one of which is in terms of compliance with the use of Personal Protective Equipment (PPE). One tool that is considered important as a step in reducing work accidents is an identification system for compliance of personal protective safety equipment use that can detect PPE used by visitors or workers. This study develops an automatic identification system that is built using the Convolutional Neural Network (CNN) to identify the use of PPE in the manufacturing technology laboratory. The CNN models used are the 4th and 5th versions of You Only Look Once (YOLO) which are then compared based on two methods: train from scratch and transfer learning. The dataset used for building the detection system has 11,579 images consisting of six classes of PPE objects. Overall performance of the proposed models shows very good results. Moreover, the comparison result among the three models shows that YOLOv5 transfer learning has the best performance with the best precision (94.2 %), recall (91.8 %), and mAP (88.6%).
Perancangan Tata Letak Pabrik Mie Lethek UD Garuda dengan Metode DBD, ALDEP, CORELAP dan MST Arulloh Sonja; Evan Alvaro Radeva; Fransisca Astri Dianswari; Amirah Meutia Noorfadila; Ardyaksa Diptya Pramudita; Achmad Pratama Rifai
JOURNAL OF INDUSTRIAL AND MANUFACTURE ENGINEERING Vol. 7 No. 2 (2023): EDISI NOVEMBER
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jime.v7i2.9951

Abstract

Penelitian ini melakukan perancangan layout fasilitas pada UMKM pembuatan mie lethek tradisional UD Garuda. UD Garuda saat ini belum memiliki pengetahuan dan pertimbangan yang cukup mengenai tata letak fasilitas. Oleh karena itu, penelitian ini bertujuan untuk mencari layout optimal bagi UD Garuda. Perancangan layout dilakukan dengan menggunakan Dimensionless Block Diagram (DBD), Automated Layout Design Program (ALDEP), Computerized Relationship Planning (CORELAP), dan Minimum Spanning Tree (MST). Metode yang paling efektif untuk merancang layout di UD Garuda adalah CORELAP, karena menghasilkan total proximity score yang lebih tinggi sebesar 705 dibandingkan dengan metode DBD (697) dan ALDEP (569). Perancangan layout ini membantu dalam mengoptimalkan hubungan kedekatan antar departemen, mengurangi material handling cost, dan meningkatkan efisiensi produksi secara keseluruhan.
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.
Convolutional Neural Network for Ground Coffee Particle Size Classification Putra, Dimas Zaki Alkani; Rifai, Achmad Pratama
Jurnal Mutu Pangan : Indonesian Journal of Food Quality Vol. 11 No. 1 (2024): Jurnal Mutu Pangan
Publisher : Department of Food Science and Technology (ITP), Faculty of Agricultural Technology, Bogor Agricultural University (IPB) in collaboration with the Indonesian Food and Beverage Association (GAPMMI), the National Agency of Drug and Food Control, and th

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jmpi.2024.11.1.36

Abstract

Indonesia is the fourth largest coffee-producing country in the world. The popularity of coffee is increasing due to people's curiosity about the origin of coffee, from harvest to the hot cup of coffee on their table. This coffee culture drives innovators to develop coffee processing technology. Currently, there are tens of different coffee brewing methods available, each with their own unique flavor characteristics. The particle size of coffee beans is the basis for brewing coffee using specific methods. Identifying the particle size and calibrating tools to grind coffee requires special skills, expertise, experience, and a time-consuming process. Therefore, this study aims to develop a tool to classify the particle size of ground coffee based on computer vision. The object of this research is ground coffee with various particle sizes, which are acquired through imagery and will be classified using Convolutional Neural Network to provide recommendations for brewing coffee according to the particle size of the ground coffee. To build the classification model, the architectures were trained by full learning and transfer learning using VGG-19, MobileNet, and InceptionV3. The results showed that the classification model using the Convolutional Neural Network using the cellphone camera dataset achieved an accuracy value of 0.80. Meanwhile, with the microscope dataset, the model's accuracy only reached 0.58. Therefore, the classification model using the cellphone dataset is feasible to be implemented to determine the particle size.
Analisis Tata Letak Produksi CNC Batik dengan Group Technology dan Particle Swarm Optimization Fauzi, Rifqi; Hartanti, Sri; Safitri, Tari Hardiani; Rifai, Achmad Pratama; Saifurrahman, Anas
Go-Integratif : Jurnal Teknik Sistem dan Industri Vol. 4 No. 02 (2023): Go-Integratif : Jurnal Teknik Sistem dan Industri
Publisher : Engineering Faculty at Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35261/gijtsi.v4i02.10950

Abstract

The production of batik experiences an increasing demand every year. This requires an improvement in both productivity and flexibility in the batik production process. Layout becomes one of the crucial factors in enhancing productivity and flexibility since it influences the material handling process. Well-designed facility layouts can improve the smoothness of material transfer operations, reducing material handling distances and, consequently, lowering material handling costs. This research aims to provide the best alternative layout. Several stages are carried out in this research, including classification to group cells based on part family, using the Rank Order Clustering (ROC) and Similarity Coefficient (SC) methods. Next, the calculation of the shortest transfer distance is conducted using Distance-Based Score Calculation, along with the use of Particle Swarm Optimization (PSO) to determine the department sequence. The research results show that the same cell grouping is achieved using both ROC and SC methods, with Cell 1 {Spray paint, proxy paint, Compressor, Welding, Grinding}, and Cell 2 {CNC Milling and CNC Turning}. Based on the distance traveled problem, it is found that the travel distance on the existing intuitive layout and the new suggested flow is 315.75 and 292.96, respectively. Therefore, by implementing group technology to implement cell manufacturing, it can provide a more effective and efficient material flow and Work In Process (WIP). Meanwhile, the results PSO yields a total minimum travel distance of 7,701.851 meters and a total material handling cost of Rp. 220 per meter, resulting in a total material handling cost of Rp 1,694,407.
PYROLYZER PRODUCTION SYSTEM FOR WASTE MANAGEMENT USING GROUP TECHNOLOGY APPROACH Rifai, Achmad Pratama; Wibisono, Ragil Aditya; Sari, Dwi Kumala; Sari, Wangi Pandan
J@ti Undip: Jurnal Teknik Industri Vol 18, No 3 (2023): September 2023
Publisher : Departemen Teknik Industri, Fakultas Teknik, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jati.18.3.152-159

Abstract

Waste management methods in Indonesia largely rely on unsustainable practices such as open dumping and landfills which urgently need transformation. Pyrolysis is one alternative solution for waste problems as it can process waste into other products. As the existing production system was not set up to manufacture this machine, we proposed a production system to produce a pyrolizer so that a more effective and efficient production process can be achieved. In this study, we employed Group Technology approach using Rank Order Clustering (ROC) method to create cell manufacturing groups. Based on our evaluation on the shortest material movement, we produced 2 different cells to manufacture the pyrolyzer. Cell, I contained plate cutting, drilling, pipe cutting, and bending machines (M2, M5, M3, M4), whilst Cell 2 contained rolling and lathe machines (M1, M6).  It also contained main reactor, pyrolyzer reactor burner, middle condenser, upper access door, bottom access door, upper condenser, bottom condenser components (A, F, H, B, C, G, I). Out of the sixteen components to be made, seven components were in Cell I whereas the other nine were in Cell II (N, P, J, E, D, K , L, M, O) comprising burner case, access ladders, separators, firewalls, reactor base frames, condenser frames, gas piping, water piping, and sprinklers components. By applying this group technology method to the pyrolyzer production system, the production process could be carried out in a more efficient and organized manner.
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.
Co-Authors Afrido Ainayyah Bintang Agista Akbar, Hafizh Naufaly Al Kautsar, M. Nurudduja Albab, Disya Amalia Ikhsani Ulil Aldyno, Achmad Farhan Alfarasyied Syahrizad Amirah Meutia Noorfadila Ananta, Vhysnu Satya Andiny Trie Oktavia Anom , Mauli Ardyaksa Diptya Pramudita Arista Adriani Armaisya, Dimas Dwi Arulloh Sonja Asa Pragasel Natuna Asfandima, Ilhan Alim Astungkara, Arya Wijna Astungkatara, Arya Wijna Awal, Syifa Maulvi Zainun Azim, Ahmad Fadhil Basirun, Arif Reza Briliananda, Silvyaniza Buchari, Muhammad Achirudin Dawi Karomati Baroroh Devita Ayuni Kusumaningsih Evan Alvaro Radeva Fadilah, Andara Fahreza Baskara Hediandra Fath, Hamzah Fatiha Widyanti Fauzi, Rifqi Fransisca Astri Dianswari Gopal Sakarkar Hajad, Makbul Hans Bastian Wangsa Hans, Feishal Rey Hartanti, Sri Hasibuan, Narsico Rafael Hideki Aoyama Hikam , Azka Huu Tho, Nguyen Ihsan Ramadhana Jordiva Fernanda Junaidi, Faiza Ulinnuha Kafi, Mochamad Egidio Pramudya Khania O.P.P. Nugraha Korin, Filbert Kusumaningsih, Devita Ayuni Kusumastuti, Putri Adriani Ludwika, Adinda Sekar Manalu, Haposan Vincentius Mohamad, Rakan Raihan Ali Muchammad Ismail Muhammad, Audi Ziyad Afkar Muhtar , Dini Nandila, Alisyafira Sayyidina Naufal Nur Akmal Nguyen , Huu Tho Nguyen, Huu Tho Nguyen, Huu-Tho Nur Mayke Eka Normasari Nurraudah, Restu Oda, Ahlam Nauf Oktavia, Andiny Trie Pamungkasari, Panca Dewi Penchala, Sathish Kumar Permana, Ari Pohan, Rafi Naufal Al Mochtari Pratama, Dhika Wahyu Priansyah, Adi Prihatmaja, Dhonadio Aurell Azhar Puspadewa, Paskalis Krisna Puspitasari, Afifa Putra, Dimas Zaki Alkani Putri, Oktaviana Rabbani, Haidar Radhitya Virya Paramasuri Sunarso Rahmawatie, Noor Athiea Safira, Aretha Safitri, Tari Hardiani Saifurrahman, Anas Saptomo, Amanat Bintang Sari Ningsih Sari, Dwi Kumala Sarudi As., L. M. Setiawan, Kevin Stephen Shalehah, Mar’atus Sholihati, Ira Diana Susilo, Nazhifa Rahmi Sutoyo, Edi Syahdan Haris Abdilah Tama, Mradipta Nindya Tanaji, Irvantara Pradmaputra Thawafani, Lathiifah Tho, Nguyen Huu Valencia, Bella Renata Violita Anggraini Wangi Pandan Sari Wibisono, Ragil Aditya Windras Mara, Setyo Tri Wiraningrum, Rakyan Galuh Yana, Anak Agung Istri Anindita Nanda