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All Journal JMPM (Jurnal Material dan Proses Manufaktur) AL-JAZARI JURNAL ILMIAH TEKNIK MESIN Jurnal Sistem Cerdas Teknobiz : Jurnal Ilmiah Program Studi Magister Teknik Mesin
Nugroho, Yohanes
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Automotive Engineering Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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PERANCANGAN CHECKING FIXTURE UNTUK PENGECEKAN KOMPONEN GARNISH REAR DOOR SIDE PRODUK PT. XYZ Nugraha, Aditya; Ismartaya, Kristian; Madewa, Muhammad Daffa Pahlevi; Nugroho, Yohanes; Rinanto, Andhy
AL-JAZARI JOURNAL SCIENTIFIC OF MECHANICAL ENGINEERING VOLUME 9, ISSUE 1, MEI 2024
Publisher : Universitas Islam Kalimantan Muhammad Arsyad Al Banjari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31602/al-jazari.v9i1.13111

Abstract

Checking Fixture merupakan alat bantu inspeksi pengecekan ukuran panjang, lebar, dan kontur radius dari komponen otomotif garnish rear door side. Proses pengecekan menggunakan alat ukur mistar dengan titik acuan pengukuran berada pada garis ukur diatas permukaan alat inspeksi yang dinamakan bansen. Pembuatan alat inspeksi diharapkan dapat menjawab kebutuhan PT.XYZ yang akan membuat produksi massal komponen garnish rear door side untuk mobil A berjenis low SUV. Metode penelitian yang digunakan adalah metode VDI (Verein Deutsche Inginieuer) 2222. Metode VDI 2222 merupakan metode pendekatan sistematik terhadap desain untuk merumuskan metode desain yang berkembang oleh kegiatan riset. Langkah umum yang dilakukan dalam merancang suatu desain menggunakan metode VDI 2222 adalah merencana, mengkonsep, merancang, dan penyelesaian. Hasil penelitian yang telah dilakukan didapatkan rancangan alat inspeksi yang dapat mengukur panjang, lebar, dan kontur radius produk garnish rear door side dengan cycle time pemasangan produk adalah 71,35 detik serta efisiensi sebesar 29%. 
Perancangan dan Analisis Semi Automatic Pneumatic Stripping Paper Machine PT. XYZ Nugraha, Aditya; Nugroho, Yohanes; Fauzy, Reno Ryzky
Teknobiz : Jurnal Ilmiah Program Studi Magister Teknik Mesin Vol. 14 No. 3 (2024): Teknobiz
Publisher : Magister Teknik Mesin Universitas Pancasila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35814/teknobiz.v14i3.7843

Abstract

Gift toys Sally adalah mainan yang diproduksi oleh PT. XYZ dengan target produksi 4.000.000 pcs dan produksi harian mencapai 108.000 pcs dalam 8 jam. Proses pemisahan produk dilakukan secara manual setelah die cut untuk menghindari risiko produk masuk ke komponen mesin die cut. Metode penelitian menggunakan Verein Deutscher Ingenieure (VDI) 2221 dan Finite Element Analysis (FEA). VDI 2221 digunakan mengidentifikasi daftar kebutuhan dan struktur fungsi, sedangkan FEA dengan Solidworks digunakan menganalisis kekuatan rancangan. Hasil penelitian menghasilkan rancangan Semi Automatic Stripping Paper Machine dengan dimensi panjang 1480 mm, lebar 370 mm, dan tinggi 970 mm. Analisis rangka menggunakan FEA menunjukkan tegangan ekuivalen maksimal (von Mises) sebesar 14.986,4 kN/m², analisis pembebanan factor of safety rangka menunjukkan minimum sebesar 3,680, sementara yield strength material frame adalah 55.148,5 kN/m². Rangka mengalami pergeseran sebesar 0,183 mm. Analisis kekuatan pada blanking plate saat pembebanan stripping menggunakan FEA menunjukkan hasil yang kuat dan aman. Perhitungan komponen pendukung memenuhi persyaratan kekuatan yang diperlukan. Cycle time yang dibutuhkan untuk stripping produk Gift toys Sally dengan output 400 pcs atau 10 sheet adalah 3,216 detik.
Design of Semi Automatic Inserting Bush Hydraulic Machine for Leaf Spring Product Nugraha, Aditya; Armunanto, Vinsentius Bram; Fernando , Iqnasius Ardito; Nugroho, Yohanes; Nugroho, Adi
Teknobiz : Jurnal Ilmiah Program Studi Magister Teknik Mesin Vol. 14 No. 1 (2024): Teknobiz
Publisher : Magister Teknik Mesin Universitas Pancasila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35814/teknobiz.v14i1.6531

Abstract

Inserting bushing merupakan bagian dari assembling yang bertujuan untuk memasang bushing ke dalam mata pegas daun dengan cara ditekan menggunakan mesin pres hidrolik. Masalah yang terjadi saat proses inserting bushing adalah cara mengatur center bushing terhadap pegas daun yang dilakukan secara manual menyebabkan tidak efisien dari segi waktu. Rancangan baru mesin pres diperlukan untuk mengoptimalkan proses inserting bushing sesuai dengan permintaan industri. Proses perancangan mesin menggunakan metode VDI 2222 sebagai acuan dasar dalam penelitian. Rancangan baru mesin pres dibuat dan dianalisis dengan menggunakan bantuan software SolidWorks. Hasil penelitian berupa rancangan mesin pres dilengkapi dengan locator bushing dan supply bushing storage. Hasil perhitungan dan analisis konstruksi menunjukkan bahwa konstruksi kuat dan aman untuk digunakan.
TRANSMISSION SYSTEM PROTOTYPE AS SPEED OPTIMIZATION IN THE POWER DRIVE MECHANISM OF THE MAKER S4000 MACHINE AT PT DM Mahernanda Putanto, Christian Yokevin; Nugraha, Aditya; Nugroho, Yohanes; Karyadi, Bagus
Teknobiz : Jurnal Ilmiah Program Studi Magister Teknik Mesin Vol. 15 No. 3 (2025): Teknobiz
Publisher : Magister Teknik Mesin Universitas Pancasila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35814/gws9wp29

Abstract

The S4000 maker machine at PT DM faces issues during the cigarette rod cutting process due to a mismatch in speed between the servo motors in the feeding and cutting processes. This lack of synchronization results in imprecise cuts and an increase in defective products. This problem indicates the need for a system capable of mechanically synchronizing the rotational speeds between the two processes. This study aims to design a gear transmission system as a solution to synchronize the speeds between the feeding and cutting processes. Problem analysis was conducted using the Failure Mode and Effect Analysis (FMEA) method. The design process follows the VDI 2221 method, which includes functional requirement analysis, development of several conceptual alternatives, evaluation of transmission ratios, and selection of suitable mechanical components. Structural strength analysis was carried out through simulations using Finite Element Analysis (FEA). A system prototype was created using 3D printing as a design verification tool. The results show that the transmission system is capable of delivering synchronized rotation, resulting in consistent cigarette rod lengths. The FEA simulation indicates the system is safe under working loads. The prototype was successfully validated both visually and functionally, serving as a basis for evaluation prior to actual implementation
Analisis Proses Laser Cutting dengan Variasi Cutting Speed, Jarak Focusline, dan Gas Pressure Terhadap Kekerasan dan Kekasaran Material MS SPHC Nugraha, Aditya; Pradana, Ilham Wahyu; Nugroho, Yohanes; Nugroho, Adi
JMPM (Jurnal Material dan Proses Manufaktur) Vol. 7 No. 2 (2023): December
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jmpm.v7i2.19459

Abstract

Laser cutting is a sheet metal cutting technology using laser media combined with a CNC system. The problems of the laser cutting process are defects in the surface of the cutting product caused by a mismatch of parameter variations. The parameters of laser cutting in this research are cutting speed, focusing distance, and gas pressure. Variations in the cutting speed parameters studied were 1440 m/min, 1620 m/min, and 1800 m/min. The variations in the focusing distance studied were 5.5 mm, 6.0 mm, and 6.5 mm. Variations in the gas pressure parameters used are 0.5 bar, 0.7 bar, and 0.9 bar. The Taguchi method is used to obtain variations with minimum hardness and surface roughness values of the material. Surface roughness was tested using a surface roughness tester; surface hardness was tested using a brine hardness tester. The magnitude of the influence of each parameter is analyzed using the ANOVA method. The results showed that the focusing distance parameter had the most significant effect on surface roughness, with a percentage of 50.385%, and the gas pressure parameter was the most influential parameter on surface hardness, with a percentage of 54.241%. The minimum roughness value can be achieved with a cutting speed of 1800 m/min, focusing of 5.5 mm, and gas pressure of 0.5 bar. The minimum hardness value is achieved with a cutting speed of 1800 m/min, a focusing of 6.5 mm, and a gas pressure of 0.5 bar.
An Intelligent IoT-Based Water Quality Monitoring and STORET Index Prediction System Using Random Forest Nugroho, Yohanes; Dewi Indriati Hadi Putri; Mahmudah Salwa Gianti
Jurnal Sistem Cerdas Vol. 9 No. 1 (2026): April (In Progress)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v9i1.603

Abstract

Hygiene sanitation water quality fluctuates due to environmental dynamics, yet conventional monitoring systems generally lack the predictive capabilities compliance with health standards (Permenkes No. 2 of 2023). This study aims to develop an intelligent Water Quality Monitoring System (WQMS) capable of predicting water quality status based on the STORET index using the Random Forest algorithm. [Methods] The proposed system integrates an ESP32-S3 microcontroller with calibrated low-cost sensors for real-time data acquisition. To ensure data integrity, regression was applied for sensor calibration, while the STORET method was utilized to determine pollution levels and water feasibility. A Random Forest regression model was then trained using these processed datasets to classify water quality status. Experimental results demonstrated high hardware precision, achieving Mean Absolute Percentage Error (MAPE) values of 5.38% for pH, 2.24% for TDS, and 0.22% for the Flow Meter. Furthermore, the Random Forest model exhibited superior predictive performance, yielding a Coefficient of Determination () of 0.9977, a Mean Absolute Error (MAE) of 0.2213, and a Root Mean Squared Error (RMSE) of 0.5144. These findings indicate that the integrated system effectively combines accurate sensing with robust predictive modeling. Consequently, the system is categorized as highly capable of providing real-time insights and early warnings, offering a significant improvement over traditional monitoring methods for public health safety.
Co-Authors Adi Nugroho ADITYA NUGRAHA Aditya Nugraha Andhy Rinanto Armunanto, Vinsentius Bram Fauzy, Reno Ryzky Fernando , Iqnasius Ardito Hadi Putri, Dewi Indriati Ismartaya, Kristian Karyadi, Bagus Madewa, Muhammad Daffa Pahlevi Mahernanda Putanto, Christian Yokevin Mahmudah Salwa Gianti Pradana, Ilham Wahyu