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All Journal KAPAL Jurnal Ilmu Pengetahuan dan Teknologi Kelautan EMITTER International Journal of Engineering Technology JTT (Jurnal Teknologi Terpadu) Civil Engineering Journal Mekanika: Majalah Ilmiah Mekanika Jurnal Pengabdian kepada Masyarakat Nusantara
Istanto, Iwan
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Materials Science & Nanotechnology Mechanical Engineering Social Sciences

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RANCANG BANGUN SISTEM KONTROL MESIN PENGELAS KAPSUL IRADIASI OTOMATIS BERBASIS PLC Yunus, Yadi; Istanto, Iwan; Kuntjoro, Diandono; Suhendro, Budi; Rahmansyah, Harizt
Jurnal Teknologi Terpadu Vol 12, No 1 (2024): JTT (Jurnal Teknologi Terpadu)
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32487/jtt.v12i1.1958

Abstract

Di PRTRRB-BRIN proses pembuatan kapsul iradiasi pengelasannya masih dilakukan secara manual oleh tenaga ahli las bersertifikat, hal ini menjadikan ketergantungan akan keberadaan tenaga ahli las bersertifikat tersebut. Untuk mengurangi ketergantungan tersebut maka dilakukan penelitian rancang bangun sistem kontrol mesin pengelas kapsul iradiasi otomatis berbasis PLC. Obyek kontrol dari sistem berupa 3 buah motor stepper sebagai aktuator mekanisme mesin las kapsul iradiasi. Motor stepper 1 sebagai aktuator gerakan vertikal naik-turun torch las menngarah dan balik titik awal pengelasan, motor stepper 2 sebagai aktuator gerak horizontal zig-zag untuk proses pelelehan awal dan pengelasan dan motor stepper 3 sebagai  aktuator gerak putaran roda pemegang kapsul untuk proses pengelasan flat melingkar tutup kapsul iradiasi. Untuk mempermudah operasional mesin las oleh operator, sistem kontrol dilengkapi dengan software human machine interface (HMI).  Otomatisasi mekanisme kerja mesin las mengggunakan pola pendekatan pada metode pengelasan secara manual, dimana pengelasan diawali dengan proses pelelehan awal base material dilanjutkan dengan proses pengelasan jalan flat normal hingga siklus pengelasan  selesai. Hasil uji simulasi pengelasan menunjukkan pola gambar daerah lasan telah memadai, keakurasian dan kepresisian gerak vertikal maupun horizontal  dari torch las masing-masing 100%, sedangkan akurasi dan presisi gerak roda putar pemutar kapsul iradiasi masing-masing 97,93 % dan 98,70 %
Early Detection of Ball Bearing Faults Using the Decision Tree Method Istanto, Iwan; Sulaiman , Robi; Rio Natanael Wijaya; Budi Suhendro; Rokhmat Arifianto; Slamet
EMITTER International Journal of Engineering Technology Vol 12 No 2 (2024)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v12i2.920

Abstract

Bearings are one of the important components in the machine that functions as a holder and positions the shaft alignment radially when rotating. Statistics show that about 50% of failures in electric motors are related to bearings. Therefore, monitoring bearing performance and efficiency before damage occurs is necessary to avoid more serious damage and save repair costs. This research aims to build a classification model that can identify bearings in normal condition and 6 types of damage (inner crack, outer crack, ball crack, and a combination of both) using the HUST dataset. The model building process begins with collecting datasets, processing and extracting dataset features, building classification models and evaluating the models that have been made. A decision tree is a type of supervised machine learning used to categorize or make predictions based on how a previous set of questions were answered. The model is a form of supervised learning, meaning that the model is trained and tested on a set of data that contains the desired categorization. The results of the decision tree model that has been built are able to identify bearing damage with an accuracy of 94.47%.
3D Digital Tomography Image Reconstruction to Determine the Dimensions of Discontinuities in the Material Using MATLAB Azri, Muhammad Farid; Istanto, Iwan; Ismail, Ismail; Astriani, Yuli
Mekanika: Majalah Ilmiah Mekanika Vol 23, No 2 (2024): MEKANIKA : Majalah Ilmiah Mekanika
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/mekanika.v23i2.85293

Abstract

To acquire more accurate information, such as the existence of discontinuities on an object from 2D digital radiography images, a reconstructed 3D image using a tomography technique is needed. In this paper, an algorithm was developed to determine the discontinuity dimension. The object used in this study is made of gypsum, which has three types of artificial discontinuities: a 4.80 mm iron ball, an 8.00 mm iron ball, and drill holes. The processes to get projection data consist of preprocessing to convert the images from red-green-blue to grayscale image format, segmentation to differentiate the object from the background using the Thresholding method and Active Contour Chan-Vese model, and morphological operations to visualize the image into 3D volumetric, followed by determining object dimensions, and subsequently the reconstruction results. The tomographic image reconstruction was constructed from 90 images irradiated by an x-ray machine using digital radiography with constant irradiation parameters and a 2° rotational angle increment interval from 0°-180°. The error results of 4.80 mm iron balls discontinuity are 1.5%, 8.00 mm iron balls are 4.1%, and drill holes are 7.05%. Moreover, the Misclassified Area-Mutual Overlap (MMO) method is employed to test the segmentation results, which resulted in an MMO value of 78.23%.
Glow-Wire Analysis of Polypropylene Blends for Mechanical and Marine Engineering Applications Firdaus, Himma; Supono, Ihsan; Pratama, Anandito Adam; Istanto, Iwan; Prabowo, Aditya Rio; Kusnandar, Nanang; Kasiyanto, Iput; Wijaya, Rahman; Lailiyah, Qudsiyyatul; Budiana, Eko Prasetya; Yaningsih, Indri; Akbar, Hammar Ilham; Imanullah, Fahmi
Civil Engineering Journal Vol. 11 No. 7 (2025): July
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2025-011-07-018

Abstract

Polymer materials are widely used due to their versatility; however, their vulnerability to fire is a significant concern, especially under electrical influences on engineered mechanical designs and marine structure applications. This study examines the fire resistance of a polypropylene (PP) blend using Glow-Wire Flammability Index (GWFI) and Glow-Wire Ignition Temperature (GWIT) tests. While previous research typically relies on flame-retardants to address flammability, this work proposes using a simple 1:1 weight ratio blend of two distinct PP types. This specific PP blend was selected to provide balanced material properties and improved processing consistency. The results from glow-wire tests were compared with previous findings to evaluate flammability performance. Our findings reveal that although the PP blend offers enhanced fire resistance compared to neat PP, it remains inferior to PP-containing flame-retardant additives. The outcomes suggest that this blended PP may be suitable for applications where mechanical properties, cost-effectiveness, and recyclability precede fire resistance, such as engineered automotive interiors, mechanical design of marine transportation, and low-risk electrical components in engineering infrastructure. This initial research contributes valuable insights into the fire behavior of PP blends. Moreover, it establishes a foundation for future investigations into polymer fire resistance, encouraging additional glow-wire testing on other polymer systems.
Peningkatan Prestasi Non-Akademik Siswa MAN 1 Surakarta melalui Pelatihan Kompetisi Robotika Unmanned Surface Vehicle Utomo, Fahri Setyo; Prabowo, Aditya Rio; Pranata, Aria; Istanto, Iwan; Wijaya, Rahman; Yaningsih, Indri; Susilo, Didik Djoko
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 6 No. 4 (2025): Edisi Oktober - Desember Fotcoming Issue
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v6i4.6623

Abstract

Robotika merupakan bidang ilmu yang menggabungkan teknik, komputer, dan elektronika untuk menghasilkan mesin cerdas yang mendukung efisiensi kerja manusia. Madrasah Aliyah Negeri (MAN) 1 Surakarta telah menerapkan pembelajaran robotika melalui kelas tutorial, namun keterbatasan penguasaan dasar desain 3D, perancangan PCB, dan pemrograman masih menjadi kendala dalam pengembangan inovasi serta persiapan kompetisi. Tujuan program Pengabdian kepada Masyarakat ini adalah meningkatkan kompetensi siswa dalam bidang Unmanned Surface Vehicle (USV) melalui pelatihan desain 3D, perancangan sirkuit PCB, serta pemrograman berbasis Python. Metode kegiatan dilakukan dalam lima pertemuan yang meliputi sosialisasi, pelatihan mekanik, perakitan PCB, dan object detection berbasis machine learning. Data dikumpulkan melalui observasi, pre-test dan post-test, serta evaluasi praktik. Hasil menunjukkan peningkatan signifikan pemahaman siswa pada bidang desain 3D (52% menjadi 84%), elektronika dan PCB (47% menjadi 79%), serta pemrograman (49% menjadi 81%). Simpulan dari kegiatan ini adalah pelatihan ini memperkuat keterampilan teknis siswa dan mempersiapkan mereka menghadapi kompetisi robotika di tingkat nasional maupun internasional, serta memberikan model pembelajaran berbasis praktik yang dapat diadaptasi pada pendidikan menengah untuk mendukung inovasi teknologi.
Structural design analysis of sandwich panels under axial compression load: Utilization of geometry and material variations Alifianto, Muhammad Daffa; Rohman, Hamdani Maftuh; Pratama, Anandito Adam; Istanto, Iwan; Prabowo, Aditya Rio; Melnyk, Oleksiy; Do, Quang Thang; Muttaqie, Teguh; Budiana, Eko Prasetya; Sohn, Jung Min; Wijaya, Rahman
Kapal: Jurnal Ilmu Pengetahuan dan Teknologi Kelautan Vol 22, No 3 (2025): Article in Progress (Accepted Papers)
Publisher : Department of Naval Architecture - Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/kapal.v22i3.75955

Abstract

This study aims to analyze the performance of sandwich cylindrical shell structures under axial compression load by varying the geometry and types of material. Numerical simulations were conducted using ABAQUS software, employing the finite element method (FEM) to evaluate von Mises stress, displacement, and energy absorption. The materials used include ASTM 1045, ASTM A36, and Mild Steel, with geometry designs varying across five different configurations. The simulation results indicate that the combination of material and geometry has a significant impact on the structural response of the sandwich cylindrical shell. ASTM 1045 exhibited the highest von Mises stress and displacement, indicating both high strength and substantial deformation, while Mild Steel demonstrated better elastic properties. Geometry 4 combined with ASTM 1045 proved to be the strongest configuration, while the combination of Geometry 1 and Mild Steel was the most elastic. This study contributes to the development of more efficient and impact-resistant ship structural designs. 
Co-Authors Aditya Rio Prabowo Akbar, Hammar Ilham Alifianto, Muhammad Daffa Astriani, Yuli Azri, Muhammad Farid Budi Suhendro Budiana, Eko Prasetya Didik Djoko Susilo Do, Quang Thang Himma Firdaus Imanullah, Fahmi Indri Yaningsih Iput Kasiyanto Ismail Ismail Kuntjoro, Diandono Kusnandar, Nanang Melnyk, Oleksiy Muttaqie, Teguh Pranata, Aria Pratama, Anandito Adam Qudsiyyatul Lailiyah Rahmansyah, Harizt Rio Natanael Wijaya Rohman, Hamdani Maftuh Rokhmat Arifianto Slamet Sohn, Jung Min Suhendro, Budi Sulaiman , Robi Supono, Ihsan Utomo, Fahri Setyo Wijaya, Rahman Yunus, Yadi