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All Journal Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Jurnal Sistem Informasi dan Ilmu Komputer Konstruksi: Publikasi Ilmu Teknik, Perencanaan Tata Ruang dan Teknik Sipil Manufaktur: Publikasi Sub Rumpun Ilmu Keteknikan Industri Venus: Jurnal Publikasi Rumpun Ilmu Teknik Mars: Jurnal Teknik Mesin, Industri, Elektro dan Ilmu Komputer Jurnal Sistem Informasi dan Ilmu Komputer Jurnal Kendali Teknik dan Sains
Purbawati Purbawati
Unknown Affiliation
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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Implementasi Forecasting Maintenance dalam Pengelolaan Perawatan Dump Truck pada Operasi Pertambangan Mad Yusup; Diyaa Aaisyah Salmaa Putri Atmaja; Purbawati Purbawati; Ida Rosanti; Tommy Mohammad Chadiq; Mailina Ihya Nashafiyah
Manufaktur: Publikasi Sub Rumpun Ilmu Keteknikan Industri Vol. 3 No. 4 (2025): Manufaktur : Publikasi Sub Rumpun Ilmu Keteknikan Industri
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/manufaktur.v3i4.1346

Abstract

Mining operations rely heavily on the performance and reliability of heavy equipment used in the production process. One of the most important hauling units in open-pit mining is the dump truck, which functions to transport overburden and coal from the mining front to disposal areas. Due to high operational intensity, dump trucks require effective maintenance management to ensure equipment reliability and reduce unexpected downtime. However, maintenance activities are often carried out based only on routine service schedules without analytical planning based on historical data. This study aims to analyze the implementation of forecasting methods in maintenance management to improve the effectiveness of dump truck maintenance planning in mining operations. The research was conducted during field work practice at PT Putra Perkasa Abadi Jobsite BIB, Tanah Bumbu, South Kalimantan. The data used were historical maintenance records of dump truck units obtained from the maintenance department. The research method used a quantitative approach with time series forecasting analysis to identify maintenance patterns and estimate future maintenance needs. The results show that forecasting-based maintenance planning can help companies predict maintenance requirements more accurately and prepare maintenance resources more efficiently. Furthermore, the implementation of forecasting methods can reduce unexpected equipment failures and support operational efficiency in mining activities.
Penerapan Metode Seven Tools Dalam Pengendalian Kualitas Produk Diyaa Aaisyah Salmaa Putri Atmaja; Purbawati Purbawati; Mad Yusup
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 2 No. 1 (2024): Februari : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v2i1.2303

Abstract

Borneo Conblock Mandiri faces significant challenges in its monthly production, with an average of more than 50,000 paving units, but the number of defects exceeds 4,500 units. These defects include cracks, breaks, and uneven or jagged surfaces. To overcome this problem, a quality control analysis is proposed using the seven tools method to reduce defects and improve overall product quality. The research results show that in the production of Holand-type paving, the primary defects include 4,965 units (53%) cracks, 2,661 units (29%) broken, and 1,660 units (18%) the surface is not smooth. Human and machine factors were identified as the leading causes of defects in paving. The proposed solution is the addition of a foreman as an additional supervisor, especially in the production process. The new foreman inspects the material more intensively before it is put into the mixer. Hopefully, these steps can reduce the number of defects and improve overall product quality. The expected result of this research is that it can positively impact the productivity and reputation of Borneo Conblock Mandiri. By addressing the root causes of defects and implementing appropriate solutions, companies can improve their production processes and deliver higher-quality products in line with market demands.
Optimasi Kondisi Operasi Proses Elektroplating Nikel-Khrom Untuk Ketahanan Korosi Baja Profile L Mad Yusup; Diyaa Aaisyah Salmaa Putri Atmaja; Purbawati Purbawati; Ida Rosanti
Jurnal Kendali Teknik dan Sains Vol. 3 No. 1 (2025): Januari: Jurnal Kendali Teknik dan Sains
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jkts-widyakarya.v2i3.3904

Abstract

This research aims to optimize the operating conditions of nickel-chrome electroplating to increase the corrosion resistance of L profile steel materials. Nickel-chrome electroplating is a metal coating method used to protect steel surfaces from corrosion and improve the aesthetic appearance. The electroplating process involves several variables such as solution concentration, temperature, current density, and plating time. In this research, various operating conditions were optimized to obtain maximum corrosion resistance. The experimental method was carried out with variations of these parameters and the results were evaluated using corrosion tests and microscopic analysis. The research results show that certain operating conditions produce a protective layer that is more effective in preventing corrosion on L profile steel. This optimization is expected to make a significant contribution in industrial applications that require high corrosion protection.
Co-Authors Adhe Dalle Tri Saputro Akhmad Baihaqi Diyaa Aaisyah Salmaa Putri Atmaja Erwin Erwin Esa Cahya Kartika Ida Rosanti Ilham Dwi Septya Widodo Mad Yusup Mailina Ihya Nashafiyah Mega Fatimah Rosana Muhammad Ilham Syahranie Muhammad Rafi’i Muhammad Syarif Reza Abi Mubaroq Salma Maulina Wardhani Tommy Mohammad Chadiq Yudha Suherdiansyah