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RPM MEASUREMENT COMPARISON USING A THERMOMETER AND LM393 MICROCONTROLLER Nanda, Rizki Aulia; Karyadi, Karyadi; Roban, Roban; Dewadi, Fathan Mubina
International Journal of Mechanical Engineering Technologies and Applications Vol. 5 No. 1 (2024)
Publisher : Mechanical Engineering Department, Engineering Faculty, Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/MECHTA.2024.005.01.6

RPM measurement is a crucial measurement tool for assessing a machine's rotation quality and ensuring that it meets the DC motor manufacturer's specifications. The quality of rotation of electric motors and combustion motors can both be observed through RPM measurements. The precision with which the LM393 sensor measures the rotation of a DC motor engine is the problem formulation in this study. Thus, the purpose of this study is to evaluate the rotation measurement accuracy of the LM393 Microcontroller sensor and compare it to a traditional tachometer. In order to conduct rotational variations on the DC motor, the following voltages will be applied: 0.93V, 2.83V, 4.25V, 7.05V, and 9.07V. Next, a tachometer and an LM393 microcontroller are used to measure the DC motor rotation. The gathered data will be made available for verification. Based on the measurement results, the corresponding data differences are -5.560 RPM, -1.577 RPM, -2.182 RPM, -3 RPM, and 0.334 RPM. Therefore, measurement validation was done based on the disparity in readings, yielding results of 0.252%, -1.45%, 0.12%, 0.038%, and 0.0725%. Based on validation results showing a presentation of no more than 10%, the LM393 measuring tool for DC motor RPM measurement is deemed valid and suitable for use.

PEMODELAN DAN SIMULASI PROSES PEMBUATAN MOLD KOMPLEKS DENGAN MENGGUNAKAN MESIN CNC MILLING Amir, Amir; Hakim, Afif; Roban, Roban; Aprianto, Muchammad Chusnan; Lutfi, Purnama Imam; Fauzan, Randy Ahmad; Septiana, Muhammad Rahmantio; Maulana, Riyan
TURBO [Tulisan Riset Berbasis Online] Vol 14, No 1 (2025): TURBO : Jurnal Program Studi Teknik Mesin
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/trb.v14i1.3871

Makalah Penelitian ini bertujuan untuk memodelkan dan mensimulasikan proses pembuatan mold kompleks menggunakan mesin CNC milling, dengan fokus pada peningkatan presisi dan efisiensi produksi. Perencanaan pembuatan mold meliputi desain produk, pemilihan material, metode pembuatan, estimasi biaya dan waktu, serta pemilihan vendor. Penelitian eksperimental dilakukan dengan memanipulasi parameter pemotongan seperti kecepatan potong, kedalaman pemotongan, dan laju pemakanan, serta strategi pemesinan seperti urutan pemotongan dan arah pemotongan. Data dikumpulkan melalui observasi langsung, wawancara, dan pengukuran dimensi produk menggunakan alat inspeksi seperti kaliper digital dan height gauge digital. Hasil penelitian menunjukkan sebagian besar dimensi produk mold memenuhi toleransi yang ditetapkan, kecuali satu dimensi yang menunjukkan penyimpangan. Analisis lebih lanjut diperlukan untuk mengidentifikasi faktor-faktor penyebab penyimpangan dan mengoptimalkan parameter serta strategi pemesinan untuk meningkatkan presisi dan efisiensi produksi mold kompleks menggunakan mesin CNC milling.

Proposed Scheduling of Preventive Maintenance on Co₂ Welding Machines Based on Reliability Analysis and FMEA Methods at PT. Sub Automotive Umar Dana, Rizko; Suhara, Ade; Roban, Roban; Sayuti, Muhamad
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 22, No 2 (2025): June 2025
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v22i2.37605

As the industry increases its dependence on production machinery, machine maintenance is a vital aspect in ensuring the smooth operation of the company. PT. Sub Automotive, as a dump truck carousel manufacturer, faces the problem of high downtime in CO₂ welding machines caused by component damage. This research aims to design an appropriate preventive maintenance schedule to reduce the frequency of damage and increase machine availability. The methods used include Mean Time Between Failure (MTBF), Mean Time To Repair (MTTR), and Overall Availability (Ao) analysis, as well as the Failure Mode and Effect Analysis (FMEA) approach to identify critical components based on the Risk Priority Number (RPN) value. The results showed an average machine availability value of 97%, exceeding the global standard of 90%. The components with the highest RPN values, namely the Control PCB (180), Nozzle (168), and Contact Tip (126), were identified as the main contributors to downtime. Based on these results, preventive maintenance recommendations were prepared focused on these components to improve the overall reliability of the system

RPM MEASUREMENT COMPARISON USING A THERMOMETER AND LM393 MICROCONTROLLER Nanda, Rizki Aulia; Karyadi, Karyadi; Roban, Roban; Dewadi, Fathan Mubina
International Journal of Mechanical Engineering Technologies and Applications Vol. 5 No. 1 (2024)
Publisher : Mechanical Engineering Department, Engineering Faculty, Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/MECHTA.2024.005.01.6

RPM measurement is a crucial measurement tool for assessing a machine's rotation quality and ensuring that it meets the DC motor manufacturer's specifications. The quality of rotation of electric motors and combustion motors can both be observed through RPM measurements. The precision with which the LM393 sensor measures the rotation of a DC motor engine is the problem formulation in this study. Thus, the purpose of this study is to evaluate the rotation measurement accuracy of the LM393 Microcontroller sensor and compare it to a traditional tachometer. In order to conduct rotational variations on the DC motor, the following voltages will be applied: 0.93V, 2.83V, 4.25V, 7.05V, and 9.07V. Next, a tachometer and an LM393 microcontroller are used to measure the DC motor rotation. The gathered data will be made available for verification. Based on the measurement results, the corresponding data differences are -5.560 RPM, -1.577 RPM, -2.182 RPM, -3 RPM, and 0.334 RPM. Therefore, measurement validation was done based on the disparity in readings, yielding results of 0.252%, -1.45%, 0.12%, 0.038%, and 0.0725%. Based on validation results showing a presentation of no more than 10%, the LM393 measuring tool for DC motor RPM measurement is deemed valid and suitable for use.

PERAMALAN KEBUTUHAN KCl PADA GUDANG BAHAN BAKU PT. PUPUK KUJANG CIKAMPEK DENGAN PERBANDINGAN METODE SINGLE EXPONENTIAL SMOOTING DAN WEIGHTED MOVING AVERAGE eka, ilham; Roban, Roban
Jurnal Media Teknologi Vol. 11 No. 1 (2024): Jurnal Media Teknologi
Publisher : Fakultas Teknik UNIGAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/jmt.v11i1.4215

Pupuk Kujang Cikampek adalah perusahaan yang bergerak dibidang pembuatan pupuk. Diperusahaan ini terdiri dari beberapa bidang pekerjaan. Petugas PPM adalah petugas yang berfungsi untuk merencanakan dan mengendalikan setiap kebutuhan yang ada diperusahaan PT. Pupuk Kujang Cikampek. Maka dari itu perencanaan dangan pengendalian kebutuhan material sangat dibutuhkan guna menjaga ketersediaan barang untuk menunjang kelancaran proses produksi di PT. Pupuk Kujang Cikampek. Dalam penelitian ini penulis mengembangkan Sistem Informasi Stok Barang yang dapat meramalkan kebutuahan dalam 1 periode/ 1 tahun kedepan dengan menggunakan metode Single Expotential Smoothing dan metode Weighted Moving Average untuk perbandingan agar stok barang optimal. Hasil peramalan dengan menggunakan Metode Single Exponential Smoothing dengan nilai α = 0,3 dapat dihasilkan MSE 104.076.823,97 , MAD 7573,512778 dan MAPE 157%, hasil peramalan dengan mengunakan metode Weight Moving Average dapat dihasilkan. MSE 140649144,2 , MAD 835,263124 dan MAPE 187%

Penerapan Keselamatan Kerja Dengan Metode Fault Tree Analysis (FTA) Untuk Meningkatkan Produktivitas Kerja Di Pd. Sinar Mekar roban, roban; Mohammad Fadli Perdana2; Boy Man; Asep Hermawan; Haris Sandi Yudha
Jurnal Teknologika Vol 13 No 2 (2023): Jurnal Teknologika
Publisher : Sekolah Tinggi Teknologi Wastukancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51132/teknologika.v13i2.313

Sinar Mekar is a business engaged in the production of sills. Like other companies, UD Sinar Mekar faces problems such as residual production waste that is around the work floor which is very disturbing in the production process which can cause work accidents which can have a negative impact on employee productivity and safety. Then the amount of ventilation is lacking, so that employees feel uncomfortable at work, and are not enthusiastic about carrying out their activities. Insufficient lighting results in the worker's eyes not being able to see clearly during the cutting process and results in the worker's finger being hit by the cutting knife. This research is to find out the factors that cause work accidents at UD. Sinar Mekar using Fault Tree Analysis (FTA) and safe T score calculation. Based on the results of calculations in 2018, there were 3 accident victims at work, namely, 1 person in January did not put the item properly so that when working, the foot fell over the item, 1 person in March Worked jokingly which resulted in a pallet being squeezed, 1 person in December Not using a mask. In 2019, there were 4 accident victims at work, namely 1 person in January. Affected by a doctor blade, 1 person in March. Working while joking which resulted in a pallet being squeezed, 1 person in August Not wearing PPE, finger exposed to caterpillars, 1 person in October, eyes often get stuck dust. In 2020 there were 2 accident victims at work, namely, 2 people in April with 2 incidents where the material was installed incorrectly, they did not use PPE.

Use of Mini Solar Panels for Battery Charging in the Mini Robot Warehouse Nanda, Rizki Aulia; Karyadi, Karyadi; Roban, Roban
Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro Vol. 8 No. 1 (2024)
Publisher : PTE FTK UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/crc.v8i1.18472

Industrial businesses have employed various robot cars to execute tasks related to goods movement, such as the Warehouse Robot Car, which utilizes a line follower sensor system. However, the substantial electricity consumption poses a challenge due to excessive energy use in robot cars. In light of this issue, the research aims to assess the utilization of mini solar panels in robot cars equipped with 3.3V Li-ION 18650 batteries. The primary objective is to calculate the electricity required to operate a line-following robot car within the designated sector. The approach involves designing robotics and solar panel systems for generating input and output power, including charging measurements. According to the findings, solar panels can charge at a maximum rate of 0.206358 watts for 45 minutes, while the robot can operate at a minimum rate of 0.26 watts for 29 minutes, resulting in a charging efficiency to robot performance of 43.5 percents.

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