cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Yosef Daryanto
Contact Email
yosef.daryanto@uajy.ac.id
Phone
+6283845376196
Journal Mail Official
jtimr@uajy.ac.id
Editorial Address
Departemen Teknik Industri, Fakultas Teknologi Industri Universitas Atma Jaya Yogyakarta Jl. Babarsari No. 43, Sleman, Daerah Istimewa Yogyakarta, 55281
Location
Kota yogyakarta,
Daerah istimewa yogyakarta
INDONESIA
Jurnal Teknik Industri dan Manajemen Rekayasa
Published by Universitas Atma Jaya Yogyakarta
ISSN : -     EISSN : 30255139     DOI : https://doi.org/10.24002/jtimr
Core Subject : Science, Engineering,
Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering
Jurnal Teknik Industri dan Manajemen Rekayasa (JTIMR) bertujuan untuk memberikan sarana bagi para peneliti untuk mempublikasikan hasil penelitian dan praktik terbaru di bidang Teknik Industri dan Manajemen Rekayasa. Jurnal ini diterbitkan oleh Universitas Atma Jaya Yogyakarta. Kami menerima naskah hasil penelitian berupa pengembangan teori atau aplikasi praktis yang berkaitan dengan keilmuan Teknik Industri dan Manajemen Rekayasa. Aplikasi praktis dapat berasal dari berbagai jenis industri, termasuk manufaktur, kesehatan, pendidikan, dan organisasi lainnya. Selain itu, naskah tentang tinjauan pustaka pada bidang penelitian atau teori tertentu juga dapat dipublikasikan pada jurnal ini. Ruang lingkup jurnal ini dapat diklasifikasikan sesuai bidang kajian Teknik Industri dan Manajemen Rekayasa namun tidak terbatas pada: - Perancangan dan Pengukuran Kerja - Penelitian Operasional - Analisis Ekonomi Teknik - Rekayasa Fasilitas dan Manajemen Energi - Rekayasa Kualitas dan Keandalan - Ergonomika - Rekayasa Operasi dan Manajemen Operasi - Manajemen Rantai Pasok - Keselamatan dan Kesehatan Kerja - Sistem Informasi - Rekayasa Perancangan dan Manufaktur - Perancangan dan Pengembangan Produk - Perancangan dan Rekayasa Sistem - Manajemen Rekayasa
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 43 Documents
 1   2   3   4   5 
Penerapan Reliability Centered Maintenance dalam meningkatkan kinerja mesin sewing Handra, Valencia Febrianti; Hadisantono; Hanandoko, Theodorus B.
Jurnal Teknik Industri dan Manajemen Rekayasa Vol 3 No 2 (2025)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jtimr.v3i2.13156

Abstract

[Design of a Maintenance System to Reduce the Frequency of Sewing Machine Component Failures] PT Jogja Glove Indonesia is a manufacturing company engaged in glove production. During its production process, the company faces frequent sewing machine breakdowns, which lead to increased downtime and hinder the achievement of the daily production target of 1,000 pieces. This condition reduces production line efficiency and may disrupt the company’s ability to meet customer demand. This study aims to identify the root causes of frequent sewing machine failures and to formulate systematic improvement solutions. The research method adopts the Design Thinking approach, which consists of five stages: Empathize, Define, Ideate, Prototype, and Test. Data were collected through field observations, interviews with operators and technicians, and analysis of machine downtime records. The Reliability Centered Maintenance (RCM) approach was implemented through FMEA analysis, MTTR and MTTF calculations, and the development of preventive maintenance Standard Operating Procedures (SOP). The results show a 54.1% reduction in machine failure frequency, from an average of 368 to 169 incidents per month. Additionally, pass products increased by 37.73%, while rejects decreased by 36.46%. In conclusion, the implementation of RCM-based preventive maintenance proved effective in improving sewing machine reliability, operational efficiency, and production quality.
Konvergensi simulasi dan kecerdasan: Tinjauan terhadap integrasi metode Monte Carlo dan machine learning dalam manajemen risiko Dewi, Ratna Mustika; Wisnu Lusantono, Oktarian; Wahyu Murtyanto, Indra
Jurnal Teknik Industri dan Manajemen Rekayasa Vol 3 No 2 (2025)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jtimr.v3i2.13337

Abstract

Integrasi metode Monte Carlo (MC) dan machine learning (ML) merepresentasikan terobosan dalam manajemen risiko modern untuk mengatasi kompleksitas dan ketidakpastian dinamik. Tinjauan sistematis ini mengkaji konvergensi kedua pendekatan tersebut, mengidentifikasi tiga pola integrasi utama: (1) penggunaan ML sebagai surrogate model untuk mempercepat simulasi MC, (2) pemanfaatan MC untuk mengkuantifikasi ketidakpastian dalam model ML, dan (3) penerapan generative ML models untuk pembangkitan skenario stres. Hasil analisis menunjukkan bahwa sinergi ini mampu meningkatkan akurasi prediktif, efisiensi komputasi, dan kapasitas penilaian risiko ekor. Meskipun demikian, tantangan implementasi seperti kompleksitas model dan kebutuhan interpretabilitas masih perlu diatasi. Penelitian ini menyimpulkan bahwa integrasi MC�ML menawarkan paradigma baru yang powerful dan merekomendasikan pengembangan teknik interpretabilitas serta standar validasi sebagai agenda penelitian mendatang.
Waste reduction of 3PL warehouse operation to overcome excessive overtime Asmoro, Evelyn Nathaniela; Daryanto, Yosef
Jurnal Teknik Industri dan Manajemen Rekayasa Vol 3 No 2 (2025)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jtimr.v3i2.13358

Abstract

Excessive overtime was a persistent issue in the warehouse operations of a 3PL company, where employees frequently exceeded the Indonesian government’s legal limit of 18 overtime hours per week due to daily working hours surpassing the 11-hour threshold. To analyse and address this problem, several structured methods were applied. Process Activity Mapping was used to classify activities into value-added, non-value-added, and necessary non-value-added categories, followed by Value Stream Mapping to visualize process flow and measure total cycle time. The 5 Whys analysis was then employed to identify root causes of delays and inefficiencies, leading to the application of the ECRS principle (Eliminate, Combine, Rearrange, Simplify) to redesign workflows and propose targeted improvements. As a result, the redesigned processes, supported by the modification of stock card formats, implementation of a kanban board, and development of Standard Operating Procedures, successfully reduced average working hours to 10.72 hours per day and decreased total process cycle time by 16.7 percent (65.9 minutes), demonstrating a notable improvement in warehouse efficiency and regulatory compliance.

Page 5 of 5 | Total Record : 43

 1   2   3   4   5 

Filter by Year

2023 2025


Reset
Filter By Issues
All Issue Vol 3 No 2 (2025) Vol 3 No 1 (2025) Vol 2 No 2 (2024) Vol 2 No 1 (2024) Vol 1 No 2 (2023) Vol 1 No 1 (2023)