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All Journal Jurnal Rekayasa dan Manajemen Sistem Industri Journal of Engineering and Management in Industrial System Jurnal E-Komtek Jurnal Media Teknik dan Sistem Industri Jurnal INFOTEL TECHNOLOGIC
Zahabiyah, Rifdah
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Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mathematics

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ANALISIS KELAYAKAN INVESTASI PEMBELIAN TRUK SEBAGAI ARMADA TRANSPORTASI PENGIRIMAN PRODUK PADA PT JAYA BETON INDONESIA Zahabiyah, Rifdah; Andriani, Debrina Puspita
Jurnal Rekayasa dan Manajemen Sistem Industri Vol 7, No 2 (2019)
Publisher : Program Studi Teknik Industri Fakultas Teknik Universitas Brawijaya

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

Abstract

Jika membutuhkan abstrak atau isi jurnal silahkan menghubungi author melalui email zahabiyahrifdah@gmail.com dan debrina@ub.ac.id
ELECTRIC VEHICLE ROUTING PROBLEM USING ADAPTIVE SIMULATED ANNEALING Prayoga Yudha Pamungkas; Rifdah Zahabiyah; Nadiah Ghina Shabrina
JEMIS (Journal of Engineering & Management in Industrial System) Vol 11, No 1 (2023)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jemis.2023.011.01.4

Abstract

Road transport is a major CO2 emission contributor globally. To tackle the challenge of reducing world carbon emissions, alternative technologies for the automobile industry are widely researched. The automotive industry has started to shift from Internal combustion engine (ICE) vehicles to electric vehicles (EVs), where EVs are the future of the automotive industry in terms of reducing greenhouse gas emissions and air pollution. EV manufacturers are continuously looking for opportunities to optimize the supply chain processes, aiming for supply chain resilience.  In this study, we present an Electric Vehicle Routing Problem (EVRP) to achieve the best decision, which is an extension of the traditional Vehicle routing problem (VRP) which in particular finding the shortest route for electric vehicles. The objective function is to find the best travel route that minimizes travel distance. Each route serves a set of customer nodes that starts and ends at a given depot node. We take battery capacity and charging stations as the constraints. In addition, the use of homogenous fleets and single depot are considered in this paper. A hybrid metaheuristic approach is used to find the best solution with the Adaptive Simulated Annealing algorithm. The use of adaptive in simulated annealing generates a higher probability of finding the best operators, which results in better solutions. A comparison of results from various metaheuristic methods is also presented in this paper to get the best method for the EVRP based on a benchmark dataset. This paper ends with recommendations for creating a routing plan that is resilient to disruptions to distribution.
Application of Deep Learning YOLO in IoT System for Personal Protective Equipment Detection Nugroho, Waluyo; Rifdah Zahabiyah; Afianto; Mada Jimmy Fonda Arifianto
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 8 No 2 (2024)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v8i2.2187

Abstract

The use of Personal Protective Equipment (PPE) is a critical step in ensuring worker safety in various sectors, including industry, construction, and health. However, violations in using PPE often occur, which can increase the risk of work accidents. This study aims to develop a deep learning-based PPE detection system using the YOLOv8 algorithm. This method was chosen because of its superior ability to detect objects in real time with high accuracy. The training data consists of various images of workers in different work environments, label to recognize types of PPE such as helmets, masks, and safety vests. The developed system was tested on a test dataset to evaluate model performance based on metrics such as confusion matrix, inference speed, and detection error rate. The experimental results show that the YOLOv8 model can detect PPE with an accuracy level of up to 95%. The implementation of this system is expected to be an effective solution in increasing compliance with the use of PPE and preventing work accidents.
PENGENDALIAN KUALITAS HASIL PRAKTIKUM SAND CASTING DENGAN PENDEKATAN STATISTICAL QUALITY CONTROL (SQC) MENGGUNAKAN PETA KENDALI VARIABEL Zahabiyah, Rifdah
Technologic Vol 14 No 2 (2023)
Publisher : LPPM Politeknik Astra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52453/t.v14i2.374

Abstract

Abstrak-- Sand Casting merupakan salah satu mata kuliah praktek yang terdapat dalam program studi Teknik Produksi dan Proses Manufaktur. Saat ini, produk yang dihasilkan melalui metode sand casting mengalami berbagai permasalahan terkait kualitasnya. Kualitas produk yang dihasilkan bervariasi dengan tiga kategori, antara lain produk berkualitas tinggi, rendah dan tidak memenuhi standar kualitas yang telah ditetapkan. Oleh karena itu, penelitian ini bertujuan untuk melakukan pengendalian kualitas menggunakan pendekatan peta kendali variabel. Analisis Statistical Quality Control (SQC) dilakukan melalui penggunaan berbagai alat statistik, seperti lembar periksa, peta kendali X dan S, serta diagram sebab dan akibat. Hasil penelitian menunjukkan bahwa pada uji keseragaman data, nilai BKA dan BKB adalah 7.13 dan 5.25, dengan hasil rata-rata dari 25 sampel produk sand casting berada dalam kendali. Selain itu, uji kecukupan data juga menunjukkan bahwa data yang digunakan sudah cukup, sehingga tidak perlu dilakukan pengambilan data ulang. Dalam hasil evaluasi yang dilakukan dengan menggunakan diagram sebab akibat, dapat ditemukan faktor-faktor penyebab terjadinya penyimpangan kualitas, yang meliputi bahan baku, faktor manusia, lingkungan kerja, mesin, dan metode kerja.
STUDI KELAYAKAN INVESTASI PEMBELIAN FORKLIFT PADA BISNIS RENTAL ALAT BERAT MEMPERTIMBANGKAN SENSITIVITAS PERUBAHAN VARIABEL Zahabiyah, Rifdah; Hibatullah, Muhammad Syafiq
Technologic Vol 16 No 1 (2025): TECHNOLOGIC
Publisher : LPPM Politeknik Astra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52453/t.v16i1.468

Abstract

Penelitian ini bertujuan untuk mengevaluasi kelayakan investasi forklift TCM FD30C/T3Z pada rental alat berat guna memenuhi permintaan yang semakin meningkat. Investasi ini memerlukan biaya awal sebesar Rp 323.892.000, mencakup biaya unit, pajak, administrasi, serta perlengkapan operasional. Analisis dilakukan dengan metode Net Present Value (NPV) untuk menghitung nilai sekarang dari arus kas masa depan suatu investasi dengan mempertimbangkan nilai waktu dari uang, metode Payback Period (PP) untuk memperkirakan berapa lama waktu yang dibutuhkan untuk pengembalian biaya awal investasi dari arus kas, dan Internal Rate of Return (IRR) untuk mengetahui tingkat diskonto (bunga) di mana saat Net Present Value (NPV) = 0 dalam suatu investasi. Hasil penelitian menunjukkan bahwa investasi ini layak dilakukan dengan NPV bernilai positif, Pengembalian modal investasi (PP) selama 1 tahun 10 bulan, serta IRR lebih tinggi dibandingkan tingkat suku bunga pinjaman, menunjukan pengembalian investasi yang menguntungkan. Selain itu, nilai BCR > 1 memperkuat bahwa manfaat ekonomi yang diperoleh lebih besar dibandingkan biaya investasi. Analisis sensitivitas menunjukkan bahwa investasi tetap menguntungkan dalam berbagai skenario perubahan variabel, tetapi menjadi tidak layak saat terjadi peningkatan signifikan pada investasi awal atau penurunan drastis pada pendapatan tahunan. Oleh karena itu, rekomendasi investasi ini harus disertai dengan strategi mitigasi risiko, seperti efisiensi dalam biaya operasional dan variasi sumber pendapatan.
Penerapan Jig & Fixture pada Produksi Massal di Industri Manufaktur Setiawan, Indra; Setiawan, Rohmat; Zahabiyah, Rifdah; Lestari, Tri Darma; Triantoro, Viko Wahyu; Farrel, Vincensius; H., Yoga Andriko; Puspita, Windy Yuliana
Jurnal Media Teknik dan Sistem Industri Vol 7, No 2 (2023)
Publisher : Universitas Suryakancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/jmtsi.v7i2.3165

Abstract

The development of the manufacturing industry in the current era of globalization is growing very rapidly as demonstrated by technological advances applied to the modern manufacturing industry. High demand from consumers requires consistency in the quantity, shape and size of a product or component to be evenly distributed in terms of quality. Other problems faced are high production costs, long processing times and unachieved productivity. In line with this, the manufacturing industry, especially mass production, requires a tool to be able to overcome these problems. Jigs & fixtures are one solution that can be used to overcome this problem. This research aims to review papers regarding the application of jigs & fixtures used in mass production systems in the manufacturing industry. This research was carried out using a systematic literature review (SLR), starting from searching, collecting, grouping and gap analysis. As a result of identifying several papers, information was obtained that jigs & fixtures can be applied to reduce production time, reduce production costs, increase productivity and improve product quality. The use of jigs & fixtures also helps reduce preparation time and allows for reduced machining time. Perkembangan industri manufaktur pada era globalisasi saat ini berkembang sangat pesat yang ditunjukkan dengan kemajuan teknologi yang diterapkan pada industri manufaktur modern. Tingginya permintaan dari konsumen mengharuskan konsistensi jumlah, bentuk, dan ukuran suatu produk atau komponen harus merata dari segi kualitas. Permasalahan lainnya yang dihadapi yaitu tingginya biaya produksi, waktu proses yang panjang dan produktivitas yang tidak tercapai. Sejalan dengan hal itu, industri manufaktur khususnya pada produksi massal diperlukan sebuah alat untuk dapat mengatasi permasalahan tersebut. Jig & fixture adalah salah satu solusi yang dapat digunakan untuk mengatasi masalah tersebut. Penelitian ini bertujuan untuk meninjau artikel mengenai penerapan jig & fixture yang digunakan pada sistem produksi massal di industri manufaktur beserta manfaatnya. Penelitian ini dilakukan dengan menggunakan sistematic literature review (SLR) berbasis statistik deskriptif yaitu dimulai dari penelusuran, pengumpulan, pengelompokan dan analisis kesenjangan. Hasil dari identifikasi beberapa artikel didapatkan informasi bahwa jig & fixture dapat diaplikasikan untuk mengurangi waktu produksi, mengurangi biaya produksi, meningkatkan produktivitas, dan meningkatkan kualitas produk. Penggunaan jig & fixture juga membantu mengurangi waktu persiapan dan memungkinkan pengurangan waktu permesinan.
Desain Ergonomis Kursi Kuliah Untuk Mahasiswa Kidal: Integrasi Analisis Antropometri dan Rapid Upper Limb Assesment Yuselin, Nensi; Setiawan, Indra; Zahabiyah, Rifdah; Rosyidi, Edwar; Aisa, Neilinda Novita; Sidik, Pramana; Faizin, Deni Nur; Dewani, Thalita
Jurnal Media Teknik dan Sistem Industri Vol 8, No 2 (2024)
Publisher : Universitas Suryakancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/jmtsi.v8i2.4409

Abstract

Learning facilities such as chairs are learning tools that must be available to facilitate teaching activities. This can affect concentration and productivity in the learning process in the classroom. Astra Polytechnic is a private vocational college that implements a lecture time system of 8 hours per day. The length of the learning process is not supported by adequate facilities such as not having chairs specifically designed for left-handed students. In fact, the number of left-handed people reached 20 people in 2023 or 2.5% of the total students. Based on initial observations through sampling interviews with several left-handed students, this makes it difficult for students to write. In addition, the existing chairs do not match the dimensions of the students' body posture. The purpose of this study is to improve the ergonomic value of lecture chairs for left-handed students by considering the components and dimensions of the appropriate product. Improvements were made by creating an ergonomic chair design and making a prototype. After that, the process was evaluated using the Rapid Upper Limb Assessment (RULA) method. The results of the study were in the form of a prototype ergonomic design of a lecture chair for left-handed students with dimensions that had been adjusted by considering replacing the backrest and seat to be softer. The evaluation results show a value of 3 or are included in the "Medium" category so that they are worthy of being produced and used for the learning process at Astra Polytechnic. Fasilitas pembelajaran seperti kursi adalah sarana pembelajaran yang harus tersedia untuk melancarkan kegiatan pengajaran. Hal ini dapat mempengaruhi konsentrasi dan produktivitasnya dalam proses belajar di kelas. Politeknik Astra merupakan perguruan tinggi swasta berbasis vokasi yang menerapkan sistem waktu perkuliahan selama 8 jam per hari. Lamanya proses pembelajaran belum didukung oleh fasilitas yang memadai seperti belum memiliki kursi yang didesain khusus untuk mahasiswa kidal. Padahal jumlah penyandang kidal mencapai 20 orang di tahun 2023 atau sebesar 2,5% total mahasiswa keseluruhan. Berdasaran observasi awal melalui wawancara sampling terhadap beberapa mahasiswa kidal, hal tersebut membuat mahasiswa mengalami kesulitan dalam menulis. Selain itu, kursi yang sudah ada belum sesuai dengan ukuran dimensi postur tubuh mahasiswa. Tujuan dari penelitian ini adalah meningkatkan nilai ergonomis pada kursi kuliah untuk mahasiswa kidal dengan mempertimbangkan komponen penyusun dan dimensi produk yang sesuai. Perbaikan dilakukan dengan membuat rancangan desain kursi ergonomis dan membuat prototipenya. Setelah itu, proses dievaluasi menggunakan metode Rapid Upper Limb Assessment (RULA). Hasil penelitian berupa prototipe desain ergonomis kursi kuliah untuk mahasiswa kidal dengan dimensi yang telah disesuaikan dengan mempertimbangkan penggantian sandaran dan tempat duduk menjadi lebih empuk. Evaluasi hasil menunjukkan nilai 3 atau termasuk dalam kategori “Sedang” sehingga layak diproduksi dan digunakan untuk proses pembelajaran di Politeknik Astra.
Automated Component Detection for Quality PCB Using YOLO Algorithm with IoT Real-Time Streaming on Raspberry Pi Waluyo Nugroho; Rifdah Zahabiyah; Mada Jimmy Fonda Arifiant; Afianto Afianto
JURNAL INFOTEL Vol 17 No 2 (2025): May
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v17i2.1313

Abstract

This paper presents the development of an automated component detection system for quality control in Printed Circuit Boards (PCBs) by integrating the YOLO object detection algorithm with Internet of Things (IoT) real-time streaming on a Raspberry Pi platform. The proposed system aims to address the challenges associated with traditional manual inspection methods, including time inefficiency, human error, and limited accuracy in detecting faulty components. The YOLO model, renowned for its high-speed and accurate object detection capabilities, was trained to identify various PCB components and deployed on a Raspberry Pi due to its affordability, portability, and low power consumption. To enable real-time remote monitoring and analysis, IoT capabilities were incorporated using the MQTT protocol, allowing seamless data transmission to remote servers or devices. The experimental results demonstrated the effectiveness of the proposed system, achiev-ing an average detection accuracy of 95%, making it a reliable solution for real-time quality assurance in PCB manufacturing. The novelty of this study lies in the innovative integration of the YOLO algorithm with IoT technology on a cost-efficient platform, providing a scalable and practical solution for automating PCB inspection processes. This approach not only enhances inspection efficiency but also reduces operational costs, offering significant value to the electronics manufacturing industry. Future work will focus on scaling thesystem for broader applications and improving the detection capabilities for more complex PCB designs.
ELECTRIC VEHICLE ROUTING PROBLEM USING ADAPTIVE SIMULATED ANNEALING Pamungkas, Prayoga Yudha; Zahabiyah, Rifdah; Shabrina, Nadiah Ghina
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 11 No. 1 (2023)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jemis.2023.011.01.4

Abstract

Road transport is a major CO2 emission contributor globally. To tackle the challenge of reducing world carbon emissions, alternative technologies for the automobile industry are widely researched. The automotive industry has started to shift from Internal combustion engine (ICE) vehicles to electric vehicles (EVs), where EVs are the future of the automotive industry in terms of reducing greenhouse gas emissions and air pollution. EV manufacturers are continuously looking for opportunities to optimize the supply chain processes, aiming for supply chain resilience.  In this study, we present an Electric Vehicle Routing Problem (EVRP) to achieve the best decision, which is an extension of the traditional Vehicle routing problem (VRP) which in particular finding the shortest route for electric vehicles. The objective function is to find the best travel route that minimizes travel distance. Each route serves a set of customer nodes that starts and ends at a given depot node. We take battery capacity and charging stations as the constraints. In addition, the use of homogenous fleets and single depot are considered in this paper. A hybrid metaheuristic approach is used to find the best solution with the Adaptive Simulated Annealing algorithm. The use of adaptive in simulated annealing generates a higher probability of finding the best operators, which results in better solutions. A comparison of results from various metaheuristic methods is also presented in this paper to get the best method for the EVRP based on a benchmark dataset. This paper ends with recommendations for creating a routing plan that is resilient to disruptions to distribution.
Co-Authors Afianto Afianto Afianto Aisa, Neilinda Novita Debrina Puspita Andriani Dewani, Thalita Faizin, Deni Nur Farrel, Vincensius H., Yoga Andriko Hibatullah, Muhammad Syafiq Indra Setiawan Lestari, Tri Darma Mada Jimmy Fonda Arifiant Mada Jimmy Fonda Arifianto Nadiah Ghina Shabrina Nugroho, Waluyo Pamungkas, Prayoga Yudha Prayoga Yudha Pamungkas Puspita, Windy Yuliana Rosyidi, Edwar Setiawan, Rohmat Shabrina, Nadiah Ghina Sidik, Pramana Triantoro, Viko Wahyu Yuselin, Nensi