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Adizty Suparno
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pasti@mercubuana.ac.id
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Teknik Industri, Fakultas Teknik, Universitas Mercu Buana, Jl. Meruya Selatan No. 1, Kembangan, Jakarta Barat 11650
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INDONESIA
JURNAL PASTI (PENELITIAN DAN APLIKASI SISTEM DAN TEKNIK INDUSTRI)
Published by Universitas Mercu Buana
ISSN : 20855869     EISSN : 25984853     DOI : 10.22441/pasti
Core Subject : Science, Engineering,
Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Transportation
The Journal PASTI (Penelitian dan Aplikasi Sistem dan Teknik Industri) receives scientific papers on research that are closely related to the research and application of Industrial Systems and Engineering.
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 429 Documents
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Analisis Perbandingan Metode North West Corner (NWC), Vogel, Least Cost, dan Particle Swarm Optimization (PSO) pada Optimasi Distribusi Beras antar Provinsi di Indonesia Mega Purnamasari; Harisma Sujani; Arvita Emarilis Intani; Muhammad Ibrahim Ats-Tsuri; Hasyrani Windyatri
Jurnal PASTI (Penelitian dan Aplikasi Sistem dan Teknik Industri) Vol. 20 No. 1 (2026): Jurnal PASTI
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/pasti.2026.v20i1.002

Abstract

In 2025, Indonesia faces challenges related to slow rice distribution, resulting in shortages of premium rice and significant price increases. The price of premium rice has risen from IDR 68,000 per 5 kg to IDR 90,000–130,000 per 5 kg. Although rice stocks in BULOG warehouses are abundant, suboptimal distribution may hinder food security, increase the risk of rice spoilage, and lead to national economic losses. Based on these issues, this study aims to determine the optimal allocation of rice distribution from supply areas to demand areas based on the shortest distance in order to minimize the total transportation distance. The methods used in this study include the North West Corner (NWC), Vogel Approximation Method (VAM), Least Cost, and Particle Swarm Optimization (PSO). This research contributes academically by linking transportation optimization approaches with national food distribution policies. Furthermore, the novelty of this study lies in its national-scale coverage across Indonesia and the comparative analysis of four optimization methods within a single framework. The results show that the Vogel method provides the optimal solution, with a total distribution distance of 2,982,335.63 km thousands of tons.
Modifikasi Rancangan Runner pada Mold Produk White Key untuk Mengurangi Penggunaan Material Plastik AS (Acrylonitrille-Styrene Resin) di PT. Wijara Plastic Indonesia Romadi Romadi; Setiawan Setiawan; Hasyrani Windyatri
Jurnal PASTI (Penelitian dan Aplikasi Sistem dan Teknik Industri) Vol. 20 No. 1 (2026): Jurnal PASTI
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/pasti.2026.v20i1.005

Abstract

White Key product is one type of multiple cavity mold produced by PT. Wijara Plastics Indonesia using plastic raw materials that are required to use 100% virgin material, name AS plastic (acrylonitrile-styrene resin), where the material is recorded in the Purchasing Department of PT. Wijara Plastics Indonesia as a material with an expensive price of Rp132.210.00. In addition to being a multiple cavity mold, the White Key mold uses a cold runner system. So it is certain that the White Key mold has a long runner, where the runner is part of the product that is not used. The obligation to use 100% virgin material results in the runner not being able to be reused. Therefore, the runner part of the White Key product is categorized as waste. The research conducted resulted in the White Key mold design by changing the cold runner system to a hot runner. The applied Hot Sprue Bush technology can save the use of AS plastic raw materials (acrylonitrile-styrene resin) reaching 780 kg in a year which saves costs of Rp103.123.800.
Pengujian Waktu Reaksi Sebelum dan Sesudah Simulasi Kerja di Laboratorium sebagai Indikator Kelelahan Kerja Anisah Haidar
Jurnal PASTI (Penelitian dan Aplikasi Sistem dan Teknik Industri) Vol. 20 No. 1 (2026): Jurnal PASTI
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/pasti.2026.v20i1.010

Abstract

Fatigue must be addressed immediately considering the negative impacts it has on workers, for example problems with work health and safety. One indicator that can be used as a marker of fatigue is a decrease in response time. In this study, response times were measured before and after work simulations in the laboratory with student respondents. The aim of this research is to see whether there is a difference in response time before and after being given a work simulation. The research was conducted at the Industrial Engineering Ergonomics Laboratory at Mercu Buana University with 10 students as respondents. The measurement using a Reaction timer. The method used is descriptive statistical analysis and Wilcoxon. The results of data processing obtained sig.0.023<p(0.05) where the data shows there is a significant difference between before and after, but the data is not in line with the theory which indicates that reaction speed will decrease when fatigue occurs. The average reaction time before working was about 0.596 seconds and after working was 0.478 seconds, so the response time after working is on average much faster. This is due to a factor from the study curve which caused the data to not reflect the actual condition, and the use of multiple signals as a stimulus in the test needs to be considered. Using a single stimulus is felt to be easier for respondents when taking the test.
Analisis Peramalan Permintaan Produksi pada Pembuatan Smart Trolley dengan Single Exponential Smoothing Indra Setiawan; Bennedictus Abimanyu; Muhammad Daffa Arlianto; Ignasius Septian Pandiangan; Muhammad Rafi; Muhammad Aziz Fitroryan
Jurnal PASTI (Penelitian dan Aplikasi Sistem dan Teknik Industri) Vol. 20 No. 1 (2026): Jurnal PASTI
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/pasti.2026.v20i1.012

Abstract

Production Planning and Inventory Control (PPIC), particularly forecasting, plays an important role in supporting accurate production planning for Smart Trolley manufacturing. Dynamic demand changes in the production process create challenges in determining material requirements, production quantities, and schedules. Based on historical data from January to December, Smart Trolley demand increased from 5 units to 25 units, representing a 400% increase. These conditions create challenges in production planning, making the use of a reliable forecasting approach essential to support planning decisions. This study examines Smart Trolley demand patterns and determines the best parameter of the Single Exponential Smoothing method with the lowest forecasting error. A quantitative approach was applied using 12 months of historical demand data with smoothing constants (α) of 0.3 and 0.5. Forecasting accuracy was evaluated using Mean Absolute Deviation (MAD), Mean Squared Error (MSE), and Mean Absolute Percentage Error (MAPE). The results show that Single Exponential Smoothing with α = 0.5 achieved the best accuracy, producing a forecast of 23.05 units for the next period and providing a basis for more effective Smart Trolley production planning.
Penurunan Downtime Akibat Plug System Error pada Proses Helium Leak Test 3 Menggunakan Metode Eight Steps di Industri Komponen Otomotif Nicholas Ego Guarsa; Mutawally Asy Sya’roqie
Jurnal PASTI (Penelitian dan Aplikasi Sistem dan Teknik Industri) Vol. 20 No. 1 (2026): Jurnal PASTI
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/pasti.2026.v20i1.011

Abstract

Automotive component industry that manufactures steel and aluminum wheels for both OEM and aftermarket markets, serving global brands such as Toyota, Honda, and Perodua. One of the critical stages in the production process is the Helium Leak Test 3 (HeLT3), which is conducted to detect any leakage in the wheels. This test requires wheel cleanliness and proper valve hole sealing, done either manually or automatically. However, frequent downtime occurs due to valve shortages at the in-plug unit, caused by the failure of used valves to return automatically. This study aims to reduce downtime caused by Plug System Error in the Helium Leak Test 3 process using the Eight Steps methodology. The method was employed to identify the current condition, determine the root causes of the problem, and formulate appropriate corrective actions. Based on the analysis results, an improvement was implemented through the design and installation of a valve transfer conveyor system to automate the transfer of valves from the un-plug unit to the in-plug unit. The results indicate that the implemented improvement successfully eliminated the need for manual valve transfer and reduced downtime caused by Plug System Error by 100%.
Integrasi Metode ARIMA, Double Exponential Smoothing, dan Economic Order Quantity untuk Pengendalian Persediaan Kemasan Kardus pada Perusahaan Pengolahan Kelapa Sawit Nadya Rishelin; Indah Kurnia Ramadhani; Nia Arfina Foci
Jurnal PASTI (Penelitian dan Aplikasi Sistem dan Teknik Industri) Vol. 20 No. 2 (2026): Jurnal PASTI
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/pasti.2026.v20i2.001

Abstract

The current cardboard packaging procurement policy at the palm oil processing company involves a high ordering frequency of 53 times per year, without considering actual demand projections or establishing safety stock, potentially reducing inventory control effectiveness. This study compares the forecasting accuracy of the Autoregressive Integrated Moving Average (ARIMA) and Double Exponential Smoothing (DES) models in predicting cardboard packaging demand and integrates the best-performing model with the Economic Order Quantity (EOQ) approach to establish an optimal inventory policy. Weekly historical demand data were analyzed through pattern identification, stationarity testing, ARIMA and DES modelling, and forecast performance evaluation using Mean Squared Error (MSE) and Mean Absolute Percentage Error (MAPE), followed by EOQ calculation. The ARIMA (2,1,2) model outperformed DES, yielding an MSE of 17,500,398 and a MAPE of 23.7%. The demand variability index (V) of 0.0111 indicates a static demand pattern, confirming the suitability of EOQ. The proposed EOQ policy results in an optimal order quantity of 39,555 units with 14 orders annually, reducing inventory costs by IDR 6,450,711 (48.54%) compared with the company's current policy. These findings confirm that integrating an accurate forecasting model with EOQ enhances inventory control effectiveness in the palm oil processing company.
Pengukuran Waktu Baku Proses Rehanging dengan Metode Time Study pada Industri Unggas Novia Hadias Safitri; Hardiana Widyastuti; Suhendi Irawan
Jurnal PASTI (Penelitian dan Aplikasi Sistem dan Teknik Industri) Vol. 20 No. 2 (2026): Jurnal PASTI
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/pasti.2026.v20i2.002

Abstract

The rehanging process is one of the stages in production activities that requires a standard working time to support process flow and evaluate operator performance. However, the company does not yet have a standard time used as a reference, leading to work capacity uncertainty and triggering the failure to achieve daily output targets. This study aims to determine the standard time for the rehanging process as a basis for establishing work standards. The method used is a stopwatch time study. The observed time data were then tested using data uniformity and data adequacy tests. Furthermore, the cycle time, normal time considering the performance rating factor via the Westinghouse method, and standard time by adding the allowance factor were calculated. The results indicate that the observed data met the requirements for uniformity and adequacy, making them valid for standard time calculations. The standard time obtained for the rehanging process is 6,829 seconds per cycle. The standard time measurement results can serve as a reference for the company to establish work standards, evaluate operator productivity, balance the production line, and support more effective production planning and control.
Perancangan Proses Produksi Continuous Flow dengan Tingkat Fluktuasi Tinggi untuk Meminimalisasi Risiko Bullwhip Effect dengan Pendekatan Monte Carlo Istantyo Yuwono; Afrigh Fajar Rosyidiin
Jurnal PASTI (Penelitian dan Aplikasi Sistem dan Teknik Industri) Vol. 20 No. 2 (2026): Jurnal PASTI
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/pasti.2026.v20i2.008

Abstract

A smooth and seamless production process is every company's dream, especially in the manufacturing industry. One external factor that can hinder the smoothness of production is the bullwhip effect, which cannot be predicted when it will occur. Therefore, continuous planning and monitoring are required to prevent the bullwhip effect from happening. Production processes in flour industry require a significant amount of capital and need to be well-designed to minimize production costs. There are many ways to design minimum production costs, such as optimizing labour efficiency, machines, energy, and time and eliminating some controllable external factors. The efficiency of production factors plays a crucial role in the company, and companies expect maximum profits with minimal production costs. Monte Carlo simulation can mimic the behaviour of uncertainty from certain events. The simulation results show that production for T1 is 570,000 tons, while for T2 it is 1,800,000 tons.
Evaluasi Beban Kerja melalui Pengukuran Konsumsi Oksigen dan Detak Jantung Petani di Salah Satu Area Pertanian Hortikultura Indonesia Muhammad Fahmy Fakhrija; Hardianto Iridiastadi
Jurnal PASTI (Penelitian dan Aplikasi Sistem dan Teknik Industri) Vol. 20 No. 2 (2026): Jurnal PASTI
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/pasti.2026.v20i2.010

Abstract

Work in the agricultural sector tends to be strenuous and high-risk. This study aims to evaluate farmers' workload by measuring their maximum oxygen capacity and heart rate. This study consisted of two measurement stages, the steps are laboratory measurements and field measurements. A total of 20 farmer respondents' data was collected from the first stage. The first stage showed the value of aerobic capacity was 26.91 mL/kg/min or 1883.3 mL/min. The second stage is field measurement, this stage produces an estimated value of oxygen consumption of 1390 mL/min from the substitution results to the estimation model, where the energy expenditure of farmers during one work cycle is 6.95 kcal/min. The results show that the burden of the farmers is at the heavy work level. Suggestions from this study are to improve the work system and the use of tools. In addition, tools that are automatic and affordable are needed to help complete the work of farmers.
Analisis Penyebab Unbilled Invoice pada Perusahaan Pengolahan Limbah dengan Metode FMEA Monica Desideria Preciosa
Jurnal PASTI (Penelitian dan Aplikasi Sistem dan Teknik Industri) Vol. 20 No. 2 (2026): Jurnal PASTI
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/pasti.2026.v20i2.009

Abstract

The company’s cash flow is one of the most important things in a business process. The reason is, that good cash flow can maintain financial stability so that the business can continue to run. The consequences of cash flow not running well can disrupt the financial cycle of a company. One of the reasons is because of unbilled invoices. This cause must be immediately identified and the problem resolved. A case study using the FMEA method was carried out to determine the cause of the unbalanced cash flow problem, and then solve the problem using the PDCA cycle. The hope from this research is that the percentage of unbilled invoices can decrease or even not occur in the future. The research results show that the average number of unbilled invoices has decreased from the initial percentage of 17% to 7%. It can be concluded that unbilled invoices, cause the unbalanced cash flow, and the method to restore the unbalanced cash flow is to reduce the percentage of unbilled invoices.

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