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Analisis Beban Kerja untuk Menentukan Kebutuhan Tenaga Kerja Optimal pada Proses Produksi Kemasan Karton Alim Mulya Wibowo; Erni Puspanantasari Putri
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 2 (2026): April
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i2.58630

Abstract

PT. XYZ is a manufacturing company that operates in the production industry cardboard packaging. In its operations, the company often fails to meet its production target of 285,000 units per month. The current workforce allocation policy, which evenly distributes 15 workers across 5 work stations (3 operators each), is indicated as the cause of an imbalance in operational workloads. This study aims to mathematically analyze workloads to determine the optimal workforce requirements using the Full-Time Equivalent (FTE) method. The research process began with a time study to determine standard times for each workstation. The standard times and production targets were then used to calculate FTE indices, which classified workloads into underload, normal, or overload categories. Based on the analysis results, it was found that the sewing station was overloaded with an FTE index of 3.72, which caused a bottleneck, while the other four stations were underloaded. Through the proposed improvement to the FTE-based workforce allocation, the company actually only needs a total of 10 workers, broken down as follows: 1 person at the cutting station, 2 in printing, 2 in punching, 4 in sewing, and 1 in finishing. Implementing this proposal not only results in an efficiency gain of 5 employees but has also been shown to increase maximum production capacity from 229,894 units to 306,526 units per month, thereby enabling the company to meet its order fulfillment targets without requiring additional overtime hours.
Analisis Beban Kerja untuk Menentukan Jumlah Tenaga Kerja Optimal Dalam Upaya Meningkatkan Produktivitas Ramdhan Syafri Syamsudin; Erni Puspanantasari Putri
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 2 (2026): April
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i2.58866

Abstract

UD. Gajah Delta is a manufacturing company whose main products are rantang and bakso steamers. Based on the current situation in the field, UD Gajah Delta has difficulty meeting market demand. Gajah Delta berjuang untuk memenuhi permintaan pasar. This is thought to be due to an imbalance in workload between workstations, as well as suboptimal planning of the number of employees. The aim of this study is to determine the optimal number of employees to meet customer demand. Based on the workload measurement using the Full Time Equivalent (FTE) method, two workstations were found to be normal: the cutting station (1.24) and the finishing station (1.22). However, the workstations for lid production (2.68) and sieve production (4.25) were categorised as overload. Meanwhile, the handle production station had an FTE value of 5.77 and the pot body production station had an FTE value of 8.98. Therefore, it is necessary to increase the number of employees at the stations for making handles and making the body of the steamer.
Perencanaan Pembangunan Smoking Area di Gedung Bitumen Pertamina Gresik Menggunakan Critical Path Method (CPM) Enrico Ferdiansyah; Erni Puspanantasari Putri
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 2 (2026): April
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i2.59159

Abstract

Bitumen Plant Gresik operated by PT Pertamina Patra Niaga does not yet have a dedicated smoking area at its office, despite the oil and gas environment carries a high fire risk. This study aims to plan the smoking area construction using the Critical Path Method (CPM) supported by Microsoft Project to determine the duration, critical path, and total project cost. The data used cover 20 work activities along with their durations, predecessors, volumes, and unit prices. Results show the project duration is 59 calendar days (1 February to 31 March 2026), with three parallel critical paths covering foundation, column, roster, flooring, anti-heat sticker, decorative elements, and site cleaning. The total project cost reaches IDR 255,850,000 (excluding 11% VAT), with the largest share of 84.53% allocated to structural and architectural work. These findings may serve as a project control baseline in oil and gas industrial settings.
Analisis Produktivitas Pembuatan Kerupuk Guna Meningkatkan Produksi Menggunakan Metode OMAX dan FTA Muhammad Gilbran Bintang Saputra; Erni Puspanantasari Putri
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 2 (2026): April
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i2.59213

Abstract

This study aims to analyze the productivity level of the production process at UD Kerupuk Mawar and identify the factors causing low productivity. The problems faced by the company include imbalance between input and output, high defect rates, raw material waste, inefficient production time, and machine downtime. The methods used in this study are Objective Matrix (OMAX) to measure productivity based on several criteria and Fault Tree Analysis (FTA) to identify the root causes of the problems. The research data were collected from six months of production activities, including raw materials, labor, production time, machine downtime, defective products, and production output. The results showed that production productivity fluctuated and had not reached the optimal target. The main factors affecting productivity decline were high defect rates, machine downtime, and inefficient production time. Improvement proposals include increasing production supervision, regular machine maintenance, and improving work methods.
Optimasi Multi-Response dan Analisis Cost Of Poor Quality pada Proses Powder Coating Menggunakan Metode Taguchi–Grey Relational Analasis (Studi Kasus: CV Aji Batara Perkasa Mandiri Sidoarjo) Syafril Maulana Arnanda; Erni Puspanantasari Putri
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 3 (2026): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i3.59806

Abstract

The powder coating process in automotive component production plays a critical role in determining final product quality. CV Aji Batara Perkasa Mandiri faces high product defect rates (average 11.22%) in the finishing process. This study aims to optimize powder coating process parameters (pretreatment stages, spray gun pressure, nozzle distance, and curing oven temperature) to simultaneously minimize Defect Rate, Rework Rate, and Scrap Rate, and calculate Cost of Poor Quality (COPQ) savings. The method used is the integration of the Taguchi Method and Grey Relational Analysis (GRA) with an L9(3⁴) Orthogonal Array experimental design. Results show that the pretreatment factor is the most dominant parameter (41.09% contribution). The optimal parameter combination obtained is A2B2C3D1 (5-stage pretreatment, 2.5 bar pressure, 25 cm nozzle distance, and 160°C curing temperature). Implementation of these parameters successfully reduced the defect rate to 5.93% (56.46% reduction) and achieved COPQ savings of Rp 23,331,167 per month (61.51%).
Comparative Evaluation of Actual and Planned Productivity of the Samarinda City Police Dormitory Construction Project Workforce Herwin Wahyudi; Risma Marleno; Erni Puspanantasari Putri
THE SPIRIT OF SOCIETY JOURNAL : International Journal of Society Development and Engagement Vol 9 No 2: Maret 2026
Publisher : LPPM of NAROTAMA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29138/scj.v9i2.3644

Abstract

This study aims to evaluate the comparison between actual and planned labor productivity in the Police Housing Construction Project in Samarinda as a basis for assessing construction efficiency. Actual productivity data were obtained from field observations, daily reports, and measurement of work volume and duration. Planned productivity was calculated using the Unit Price Analysis (AHS), project scheduling, and manpower planning. The results show significant differences between actual and planned productivity in various work categories. Actual structural productivity ranges from 0.71 to 1.20 m³/day, which is lower than the planned productivity of 1.456–3.21 m³/day. Finishing works also display substantial deviation, with actual productivity of 27.52–80 m²/day compared to the planned 44–135 m²/day. These discrepancies result in slower progress, increased risk of project delays, and reduced time management efficiency. Key factors contributing to productivity gaps include field conditions, weather disturbances, material mobilization, worker experience, and coordination effectiveness among subcontractors. The findings highlight the importance of periodic productivity control and improved field management to meet planned targets.
Analisis Keseimbangan Lintasan Produksi Guna Meningkatkan Hasil Kerja Yang Optimal Di Ud. Xyz Muhamad Lukman Arianto; Erni Puspanantasari Putri
JURNAL ILMIAH TEKNIK INDUSTRI DAN INOVASI Vol. 4 No. 2 (2026): April : Jurnal Ilmiah Teknik Industri dan Inovasi
Publisher : CV. ALIM'SPUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/jisi.v4i2.1789

Abstract

Penelitian ini dilakukan di UD. XYZ yang bergerak di bidang produksi sandal jepit dengan permasalahan utama berupa ketidakseimbangan lintasan produksi yang menyebabkan terjadinya bottleneck, tingginya waktu menganggur, serta belum tercapainya target produksi perusahaan. Penelitian ini bertujuan untuk menganalisis dan memperbaiki keseimbangan lintasan produksi menggunakan metode Ranked Positional Weight (RPW) agar efisiensi produksi dapat meningkat. Metode penelitian dilakukan melalui pengamatan langsung terhadap proses produksi, pengukuran waktu kerja, pengujian keseragaman dan kecukupan data, perhitungan waktu siklus, waktu normal, dan waktu baku, kemudian dilanjutkan dengan analisis keseimbangan lintasan menggunakan metode RPW. Hasil penelitian menunjukkan bahwa penerapan metode RPW mampu memperbaiki performansi lintasan produksi dengan mengurangi jumlah stasiun kerja dari 7 menjadi 4 stasiun kerja. Selain itu, nilai line efficiency meningkat dari 46,10% menjadi 80,68%, balance delay menurun dari 53,90% menjadi 19,32%, dan smoothness index menurun dari 15,86 menjadi 4,80. Hasil tersebut menunjukkan bahwa metode RPW mampu menghasilkan pembagian beban kerja yang lebih merata, mengurangi waktu menganggur, serta meningkatkan efisiensi dan kelancaran proses produksi perusahaan
Analisis Efektivitas Penggunaan Mesin Produksi Menggunakan Metode Oee Pada Proses Produksi Tiang Penerangan Jalan Umum Moch Nizar Dava Ramadhan S; Erni Puspanantasari Putri
JURNAL ILMIAH TEKNIK INDUSTRI DAN INOVASI Vol. 4 No. 3 (2026): Juli : Jurnal Ilmiah Teknik Industri dan Inovasi
Publisher : CV. ALIM'SPUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/jisi.v4i3.1796

Abstract

Abstract. This research aims to analyze the effectiveness and reliability of production machines in the process of making public street lighting poles (PJU) at PT. XYZ The main problem faced by the company is high machine downtime so that production targets are not achieved. Therefore, a method is needed that is able to measure machine effectiveness as a whole and identify the main causes of production losses. The method applied includes Overall Equipment Effectiveness (OEE) to measure machine effectiveness based on three components, namely availability, performance and quality. The Total Productive Maintenance (TPM) approach is used to identify factors causing low effectiveness through Six Big Losses analysis. Apart from that, Mean Time To Repair (MTTR) and Mean Time Between Failure (MTBF) are calculated to determine the level of machine reliability. The data used includes machine working hours, downtime, operating time, production quantities, defective products, as well as machine damage and repair data. The analysis results are expected to show the level of machine effectiveness and identify the dominant factors causing downtime. Based on these results, improvement proposals are prepared to reduce downtime, increase machine reliability and improve production productivity Keywords: Overall Equipment Effectiveness (OEE), Total Productive Maintenance (TPM), Six Big Losses, Downtime, Efektivitas Abstrak. Penelitian ini bertujuan untuk menganalisis efektivitas dan keandalan mesin produksi pada proses pembuatan tiang penerangan jalan umum (PJU) di PT. XYZ Permasalahan utama yang dihadapi perusahaan adalah downtime mesin yang tinggi sehingga target produksi tidak tercapai. Oleh karena itu, diperlukan metode yang mampu mengukur efektivitas mesin secara menyeluruh dan mengidentifikasi penyebab utama kerugian produksi. Metode yang diterapkan meliputi Overall Equipment Effectiveness (OEE) untuk mengukur efektivitas mesin berdasarkan tiga komponen, yaitu availability, performance, dan quality. Pendekatan Total Productive Maintenance (TPM) digunakan untuk mengidentifikasi faktor penyebab rendahnya efektivitas melalui analisis Six Big Losses. Selain itu, dilakukan perhitungan Mean Time To Repair (MTTR) dan Mean Time Between Failure (MTBF) untuk mengetahui tingkat keandalan mesin. Data yang digunakan mencakup jam kerja mesin, downtime, waktu operasi, jumlah produksi, produk cacat, serta data kerusakan dan perbaikan mesin. Hasil analisis diharapkan dapat menunjukkan tingkat efektivitas mesin dan mengidentifikasi faktor dominan penyebab downtime. Berdasarkan hasil tersebut, disusun usulan perbaikan untuk mengurangi downtime, meningkatkan keandalan mesin, dan memperbaiki produktivitas produksi Kata kunci: Overall Equipment Effectiveness (OEE), Total Productive Maintenance (TPM), Six Big Losses, Downtime Mesin, Efektivitas Mesin
Analisis Efektifitas Mesin Stretch Blow Moulding Dengan Penerapan Tpm Menggunakan Metode Oee Dan Fmea Untuk Meminimasi Six Big Losses Previa Syanindita; Erni Puspanantasari Putri
JURNAL ILMIAH TEKNIK INDUSTRI DAN INOVASI Vol. 4 No. 3 (2026): Juli : Jurnal Ilmiah Teknik Industri dan Inovasi
Publisher : CV. ALIM'SPUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/jisi.v4i3.1809

Abstract

Penelitian ini bertujuan untuk mengevaluasi efektivitas mesin stretch blow moulding pada proses produksi botol plastik, serta mengetahui faktor-faktor yang menyebabkan terjadinya kerugian produksi guna meningkatkan performa mesin. Permasalahan yang dihadapi perusahaan berkaitan dengan belum optimalnya pencapaian target produksi akibat tingginya waktu henti mesin (downtime), menurunnya performa operasional mesin, dan munculnya produk cacat selama proses produksi. Metode yang diterapkan dalam penelitian ini yaitu pendekatan Total Productive Maintenance (TPM) dengan menggunakan metode Overall Equipment Effectiveness (OEE) untuk mengukur tingkat efektivitas mesin melalui tiga indikator utama, meliputi availability, performance, dan quality. Selain itu, analisis Six Big Losses digunakan untuk mengidentifikasi sumber-sumber kerugian terbesar yang terjadi pada proses produksi. Selanjutnya, metode Failure Mode and Effect Analysis (FMEA) dimanfaatkan untuk menganalisis potensi kegagalan, menentukan tingkat prioritas risiko berdasarkan nilai Risk Priority Number (RPN), serta menyusun usulan perbaikan yang sesuai. Hasil penelitian diharapkan mampu memberikan gambaran kondisi aktual efektivitas mesin, mengetahui faktor dominan penyebab kerugian produksi, serta menghasilkan rekomendasi perbaikan yang lebih efektif dan terarah. Penerapan metode OEE, Six Big Losses, dan FMEA dalam kerangka TPM diharapkan dapat mengurangi kerugian produksi, meningkatkan efektivitas kinerja mesin, serta mendukung peningkatan produktivitas dan kualitas hasil produksi secara berkesinambungan.
Strategi Peningkatan Efektivitas Mesin Folder Gluer Lbfg - 900 dengan Metode Oee dan Fmea : Studi Kasus : Pt. Xyz Mohammad Buhory; Erni Puspanantasari Putri
Populer: Jurnal Penelitian Mahasiswa Vol. 5 No. 2 (2026): Juni: Populer: Jurnal Penelitian Mahasiswa
Publisher : Universitas Maritim AMNI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58192/populer.v5i2.4490

Abstract

This study aims to analyze the effectiveness of the Folder Gluer LBFG-900 (DX-900) machine at PT Temprina Media Grafika and to develop a maintenance scheduling system using the Reliability Centered Maintenance (RCM) approach. The problems identified in the machine include high downtime, unstable operating speed, and defects in folding and gluing results, which lead to suboptimal production performance. The research applies the Overall Equipment Effectiveness (OEE) method to measure machine effectiveness based on availability, performance, and quality components. Furthermore, the Failure Mode and Effect Analysis (FMEA) method is used to identify potential failure modes and determine risk priorities based on the Risk Priority Number (RPN). The data used in this research were obtained from operational and production records during the September–December 2025 period. The results indicate that the low effectiveness of the DX-900 machine is influenced by high setup and adjustment time, machine component failures, decreased operational performance, and a high number of reject and rework products. Based on the FMEA analysis and the Reliability Centered Maintenance (RCM) approach, several critical components requiring scheduled maintenance actions were identified to reduce the risk of failures and machine downtime. The output of this research is a proposed maintenance scheduling system developed according to component criticality levels and optimal maintenance intervals. The implementation of this maintenance schedule is expected to improve machine reliability, reduce downtime, and enhance production effectiveness continuously.