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All Journal J@TI (TEKNIK INDUSTRI) IPTEK The Journal for Technology and Science Widya Warta SITEKIN: Jurnal Sains, Teknologi dan Industri PERFORMA : Media Ilmiah Teknik Industri JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) Jurnal Teknik Elektro dan Komputer TRIAC Journal of Information System,Graphics, Hospitality and Technology Jurnal Elkolind : Jurnal Elektronika dan Otomasi Industri International Journal of Marine Engineering Innovation and Research JISO : Journal of Industrial and Systems Optimization Journal of Soft Computing Exploration Sawala : Jurnal pengabdian Masyarakat Pembangunan Sosial, Desa dan Masyarakat Brilliance: Research of Artificial Intelligence AME (Aplikasi Mekanika dan Energi) : Jurnal Ilmiah Teknik Mesin Jurnal Cakrawala Maritim Mein: Journal of Mechanical, Electrical & Industrial Technology PROCEEDINGS CONFERENCE ON DESIGN AND MANUFACTURE AND ITS APPLICATION
Anda Iviana Juniani
Politeknik Perkapalan Negeri Surabaya
Religion Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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The RE-LAYOUT DESIGN OF THE PRODUCTION MACHINE THROUGH BLOCPLAN AND SYSTEMATIC LAYOUT PLANNING (SLP) METHOD Zandy Sholahudin Zaeni; Juniani, Anda Iviana; Zammi, Khafifulloh Al Faqih Zam
MEIN : Journal of Mechanical, Electrical & Industrial Technology Vol. 2 No. 1 (2025): MEIN : Journal of Mechanical, Electrical, and Industrial Technology
Publisher : P3M Politeknik Perkapalan Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35991/mein.v2i1.20

Abstract

Production machine layout arrangement at PT. Ometraco Arya Samanta requires new planning to increase the efficiency of space use. The method used is systematic layout planning (SLP), and Blocplan-90 can produce proposals for new production machine layouts with research results, including obtaining alternative production machine layouts. Second, reducing material handling distance. Designing the steel material production floor layout using the systematic layout planning (SLP) and Blocplan-90 methods considers the degree of close relationship between the machines used and the production process flow. Several aspects include area requirements, standard track width, and available area. The selection of alternative designs was based on criteria such as the total distance moved and the area used, where the selected alternative layout succeeded in producing increased efficiency in terms of the total reduction in distance moved. The area used compared to the initial layout. Alternative layout analysis shows that alternative layout 2 succeeded in reducing material handling movement distance by 34.68 meters or 22.24% and reducing area requirements by 74 meters or 18.6%, compared to the initial production machine layout.
Application of Ant Colony Optimization Algorithm in Determining PID Parameters in AC Motor Control Rahman, Farhan Wahyu Nur; Setiawan, Edy; Juniani, Anda Iviana; Nugraha, Anggara Trisna
Brilliance: Research of Artificial Intelligence Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i2.4741

Abstract

Application of Ant Colony Optimization (ACO) Algorithm in determining PID (Proportional-Integral-Derivative) parameters to optimize AC motor control through simulation using MATLAB. AC motors are a critical component in a wide range of industrial applications requiring efficient control to ensure optimal stability and response. This research focuses on optimizing the motor's RPM control by fine-tuning PID parameters using the ACO algorithm. Precise RPM control is crucial for maintaining performance in dynamic industrial environments. The ACO algorithm is used to optimize the PID parameter by referring to the objective function of Integral Time Absolute Error (ITAE). The optimization results show that this algorithm can achieve optimal convergence in the 33rd iteration with a fitness value of 6269. The optimal PID parameters obtained were Kp of 164.98, Ki of 23.47, and Kd of 10.51. The simulation of the AC motor control system shows a significant improvement in performance compared to the Trial-and-Error method. The simulation results demonstrate that ACO reduces steady-state errors by up to 9%, while Trial-and-Error reaches 25%. The settling time is also faster with ACO, which is 0.7 seconds, compared to the Trial-and-Error method which takes longer. The use of the ACO method in PID tuning has been proven to be more efficient and accurate than conventional approaches, thus improving the RPM stability and response of the AC motor control system. This study concludes that the integration between ACO and PID can be the optimal solution in automated control applications in industries that require responsive and stable motor RPM control.
Extruder Machine Design as a Facility for Utilization of High Density Polyethylene Waste into Plastic Panels Faruq, Habib Ngumar; Setiawan, Tri Andi; Juniani, Anda Iviana; Amin, Khoirul
MEIN : Journal of Mechanical, Electrical & Industrial Technology Vol. 2 No. 2 (2025): MEIN : Journal of Mechanical, Electrical & Industrial Technology
Publisher : P3M Politeknik Perkapalan Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35991/mein.v2i2.52

Abstract

Plastic waste is a persistent material that poses a serious environmental threat due to its resistance to natural decomposition. Indonesia generates approximately 27.3 million tons of waste annually, of which 19.8% is plastic, highlighting the urgent need for effective recycling strategies. This study aims to design and develop an extruder machine to recycle High-Density Polyethylene (HDPE) waste into value-added plastic panels. The research methodology comprised literature review, needs identification, concept design development using the Ulrich method, concept selection through the Analytical Hierarchy Process (AHP), fabrication, and machine performance testing. Concept 1 was selected as the best alternative among the three proposed design concepts, achieving the highest Alternative Weight Evaluation score of 35.14, compared to 34.65 for Concept 3. The fabricated machine measures 779.5 mm in length, 610 mm in width, and 689.3 mm in height, powered by a 1 HP electric motor and equipped with four 300 W heaters. Performance tests demonstrated that the machine successfully melted HDPE and produced plastic panels with uniform surfaces, good material density, and minimal voids, although the resulting color tended to be dark. The findings confirm that the developed extruder machine effectively supports HDPE recycling into functional products, contributing to waste reduction efforts and promoting sustainable plastic waste management technologies.
Implementasi Sistem Filtrasi Air Alami Terintegrasi Sensor TDS dan ESP32 Untuk Pemenuhan Baku Mutu Air Kelas Lugas Jagad Satrianata; Edy Setiawan; Anda Iviana Juniani; Anggara Trisna Nugraha
Jurnal Elektronika dan Otomasi Industri Vol. 11 No. 3 (2024): Jurnal Elkolind Vol. 11 No. 3 (September 2024)
Publisher : Program Studi Teknik Elektronika Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elkolind.v11i3.6157

Abstract

Penelitian ini mengimplementasikan sistem filtrasi air alami untuk memenuhi standar baku mutu air kelas 3 sesuai PP No. 22/2021, dengan fokus pada Total Dissolved Solids (TDS). Sistem menggunakan bahan alami seperti karang jahe, ziolit, batu apung, oyster, bioball, dan bioring untuk menyaring kontaminan air. TDS dipantau secara real-time menggunakan sensor TDS yang terintegrasi dengan mikrokontroler ESP32. Pengujian pada sampel air kolam menunjukkan penurunan TDS dari 1619 ppm menjadi 443 ppm, di bawah batas maksimum 1000 ppm. Sensor TDS menunjukkan akurasi baik dengan error 1,94% untuk air kotor dan 10,38% untuk air bersih. Hasil ini menunjukkan potensi filtrasi air alami sebagai solusi efektif dan terjangkau untuk meningkatkan kualitas air. Penelitian lebih lanjut diperlukan untuk evaluasi jangka panjang dan parameter kualitas air lainnya.
Integration of FMEA, LTA, and Fishbone Diagrams in the application of RCM II on KN–02 Gas Compressors Muhamad Ari; Anda Iviana Juniani; Tri Andi Setiawan; Bayu Wiro Karuniawan; Habib Ngumar Faruq; Anum Kusuma Lendie; Firhan Rafif Rizqullah
International Journal of Marine Engineering Innovation and Research Vol. 10 No. 4 (2025)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v10i4

Abstract

Gas compressors are vital equipment in the oil and gas industry that function to maintain the smooth production and transportation of natural gas. Compressor failure can cause significant downtime, financial losses, and safety risks. This study aims to evaluate the maintenance policy of the KN-02 gas compressor at the Nibung Gas Compressor Station (SKG) using the Reliability Centered Maintenance II (RCM II) method. Engine fault data was collected in the period September–October 2024 and analyzed through Failure Mode and Effect Analysis (FMEA), Logic Tree Analysis (LTA), and Fishbone Diagram to identify critical failure modes and root causes. Furthermore, the proposed treatment strategy was formulated using the RCM II Decision Worksheet. The results of the analysis showed three critical components with the highest Risk Priority Number (RPN) values, namely cylinder oil supply failure (RPN = 671), valve suction/discharge (RPN = 662), and packing rod (RPN = 577). Based on the results of the LTA, the recommended types of maintenance include scheduled restoration, scheduled discard, and condition-directed maintenance. Fishbone's analysis indicates that the root cause comes from material wear factors, lubrication quality, and maintenance procedure errors. With the implementation of an RCM II-based maintenance strategy, compressor engine downtime is expected to be reduced by more than 40%, while improving the operational reliability of the system. This study confirms that RCM II is effective as a systematic approach in determining optimal oil and gas machinery maintenance policies.
Optimizing Reachtruck Reliability in Cold Storage Industry Using Reliability Centered Maintenance Based on Fuzzy FMEA Aji Andri Adi; Dr. Anda Iviana Juniani, ST., MT.; Dr. Imam Sutrisno, ST., MT.
International Journal of Marine Engineering Innovation and Research Vol. 10 No. 4 (2025)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v10i4

Abstract

Reach trucks are critical equipment in cold storage operations due to their efficiency in lifting and transportingloads in narrow aisles and cold environments. However, high failure rates and extended downtimes significantly reduce theirreliability, which directly affects operational performance and business revenue. This study aims to optimize the reliability ofreach trucks by identifying critical components and determining the appropriate maintenance intervals using a combinedmethod of Reliability Centered Maintenance (RCM) and Fuzzy Failure Mode and Effect Analysis (Fuzzy FMEA). Theresearch employs qualitative and quantitative approaches through failure data analysis, expert judgment, and risk prioritynumber (RPN) evaluation using fuzzy logic. The hydraulic system and driver unit were identified as the most failure-pronesystems, with the hose and gearbox as the most critical components. The application of fuzzy logic provides a more accurateprioritization of failure risks compared to conventional FMEA. Furthermore, RCM II was used to develop a preventivemaintenance framework to improve equipment reliability. The findings demonstrate that the integrated approach effectivelyreduces downtime and enhances the maintenance planning process. This study contributes to developing a more structuredand risk-based maintenance strategy for reach trucks in the cold storage industry
Co-Authors Abdurrahman Yusuf Abubakar, Kiagus Muhammad Adibus Sholeh Agung Purwana Ahmad Fatih Fudhla Aji Andri Adi Alfan Faiz Hidayatullah Alivia Nur Fadhila Amelia, P. Amelia, Putri Amin, Khoirul Anggara T, Nugraha Anggara Trisna Nugraha Anum Kusuma Lendie Arkananta, Raditya Erlang Asri Sugarda Aurel Maydivi Salsabilla Bachtiar . Bayu Wiro Karuniawan Daisykarenas Siwi Dhika Adhitya Purnomo Dhika Aditya P Dhika Aditya Purnomo Dian Asa Utari Dika Rahayu Widiana Dr. Imam Sutrisno, ST., MT. Edy Prasetyo Hidayat Edy Setiawan Edy, Setiawan Eky Novianarenti Elmi, Hidayana Fais Hamzah Fajar Astuti Hermawati Farizi Rachman Faruq, Habib Ngumar Fipka Bisono Firhan Rafif Rizqullah Galih Anindita Habib Ngumar Faruq Habib Ngumar Faruq Haidar Natsir Amrullah Handandi, Zukhruf Zidane Hidayana, Elmi I Made Kastiawan Imaniah Sriwijayasih Indri Santiasih Ira Anggraeni Irmawan, Irmawan Iva Setyana Karuniawan BW, Karuniawan Kurniawan, Bayu W. Lugas Jagad Satrianata Lukman Handoko Lutvi Ade Septian M. Faiz Fazlur Rahman Melindawati Muchtar Mochammad Choirul Rizal Mochammad Imron Awalludin Moses Laksono Singgih Muhamad Ari Muhamad Ari Muhammad Jumandono Mukhamad Fahmi Mustaghfirin, M. Anis Ningrum, Pranidiya O Ningrum, Pranidiya Otaviya Nurul Mu’minin Herawati Y. Nurvita Arumsari Patdono Suwignjo Pranidiya Otaviya Ningrum Pranowo Sidi Projek Priyonggo Sumangun Lukitadi Purnomo, Dhika A Purnomo, Dhika A. Purnomo, Dhika Adhitya Purnomo, Dhika Adithya Putu Dana Karningsih Rachmad Tri Sulistiyono Raditya Erlang Arkananta Rahman, Farhan Wahyu Nur Rakasita R, Rakasita Rasyad Devala Jamaluddin Rekadian Arif Renanda Nia Rachmadita Renanda Nia Rachmadita Rengga Sanditya Rinanto, Noorman Rizal Indrawan Rizal Irfan Fuadi Rohmatuka, Moh. W. Rosyita Firdaus Rosyita Firdaus Sarena, Sryang Tera Satrianata, Lugas Jagad Shintha Lailatul Maghfiroh Thina Ardliana, Thina Totok Yulianto Tri Andi Setiawan Tri Andi Setiawan Wiediartini Wiediartini Yesica Novrita Devi Zammi, Khafifulloh Al Faqih Zam Zandy Sholahudin Zaeni Zukhruf Z, Handandi