Claim Missing Document
Check
Articles

Found 6 Documents
Search
Journal : Journal of Industrial System Engineering and Management

Proposed Packaging of Assar Fish Products with Methods Quality Function Deployment Tamrin Tajuddin; Irman Amri; Syach Reza Syamsuddin; Asih Ahistasari
Journal of Industrial System Engineering and Management Vol. 1 No. 2 (2022): Journal of Industrial System Engineering and Management (Edisi October)
Publisher : PT. SAFARI AMALIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (296.464 KB) | DOI: 10.56882/jisem.v1i2.8

Abstract

Generally, selling fish asar by the community, the seller only wraps or packs fish asar in the traditional way, using banana leaves. Traditional asar fish packaging is still carried out in the Sorong city area, especially in the market and its surroundings. So action or change is needed so that the asar fish which is the interest of the residents of the city of Sorong is still protected by the cleanliness and quality of the asar fish product. The packaging used to pack asar fish products is Polypropylene (PP) plastic packaging. The choice of packaging with this material is because it is strong, resistant to chemicals, heat, oil, transparent, and flexible. Quality Function Deployment is a product development system that starts from product design, manufacturing processes until the product is in the hands of consumers, where product development is based on consumer desires. This study aims to produce packaging designs for asar fish products that meet consumer desires using the Quality Function Deployment method. The research begins with distributing questionnaires, identifying consumer desires, determining the value of importance rating, technical response, technical correlation matrix, relation matrix, planning matrix, determining target specifications, making House of Quality. The resulting packaging design is a rectangle measuring 35 cm x 18 cm, made of Polypropylene (PP) plastic, packaging using a sticker measuring 12 cm x 12 cm, and the packaging is pressed using a sealer.
Analysis of Work Measurement Using the Stopwatch Time Study Method at PTEA masniar masniar; Umar Rusli Marasabessy; Engelberto Astrides; Asih Ahistasari; Mohammad Arief Nur Wahyudien; Mirga Maulana Rachmadhani
Journal of Industrial System Engineering and Management Vol. 2 No. 1 (2023): Journal of Industrial System Engineering and Management (Edisi March)
Publisher : PT. SAFARI AMALIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56882/jisem.v2i1.14

Abstract

In the era of globalization or the world of free trade, competition in the industrial world is increasing rapidly, this causes business competition to increase. Seeing the importance of measuring every activity carried out by the company, an accurate measurement method is needed to be able to provide accurate information on the time needed and the efficiency of each product activity in meeting production targets to achieve profits. The Stopwatch Time Study method is a work measurement technique using a stopwatch as a means of measuring the time shown in the completion of an observed activity. From the measurement results, a standard time will be obtained to complete a work cycle, where this time will be used as a standard for completing work for all workers who will carry out the same work as that. To determine the standard time, first calculate the cycle time and the time normal considering the degree of adjustment and allowance. Based on the results of data processing and discussion, it can be concluded that the lowest normal time is for employee 2 with a time of 39.05 seconds. Employee adjustment factor 2 with a total adjustment of +0.12 and employee allowance factor 2 with a total allowance of 22.
Analysis Of Factors Inhibiting Employees From Reading Kwh Post-Paid Meters In The Field (PT. IDO SINERGI) Ahistasari, Asih; Febrian Ramadhan; Irman Amri; Ashar
Journal of Industrial System Engineering and Management Vol. 2 No. 2 (2023): Journal of Industrial System Engineering and Management (Edisi December)
Publisher : PT. SAFARI AMALIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56882/jisem.v2i2.19

Abstract

PT. PLN (PERSERO) as a State-Owned Enterprise to provide the best service for all electricity users in Indonesia, PLN which takes care of all aspects of electricity for the public interest throughout Indonesia. At first PLN used postpaid electricity kwh recording calculating tool, where the kWh meter recording used analog system. Several problems and complaints from the public regarding the use postpaid electricity in the form of late payments, meter recording errors and erratic bills, PLN specifically for the Sorong branch in collaboration with PT. Ido Sinergi as a service provider, especially in the work of recording kwh meters, must be able to provide satisfaction to PLN as its partner. When recording kwh meters, factors that often hinder activities in the field such as fence locks, closed houses, empty houses, tall meters, opaque meters, fierce animals, unloading meters, lost meters other unexpected factors. The purpose this study to find out the various factors inhibiting kWh meter readings in the field, the data obtained was then processed using data analysis tool used to answer the research problem using the Pareto Diagram. The conclusion from this study is that the inhibiting factors for reading kwh meters in the field are fence locks, closed houses, empty houses, tall meters, opaque meters, fierce animals, unloading meters, missing meters with a total of 598 constraints from 20,580 customers, along with the percentage pk 31%, rt 13%, rk 15%, mt 7%, mbrm 15%, hg 3%, mb 10%, mh 7%.
Evaluation Of Temperature and Lighting in The Dani Bakery Bread Factory Sambai, Vetherico Arya; Hahury, Sanny; Amri, Irman; Ahistasari, Asih
Journal of Industrial System Engineering and Management Vol. 2 No. 2 (2023): Journal of Industrial System Engineering and Management (Edisi December)
Publisher : PT. SAFARI AMALIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56882/jisem.v2i2.21

Abstract

This research aims to determine the DANI BAKERY bakery's temperature and lighting measurement results based on Minister of Health Decree Number 1405/MENKES/SK/XI2002. And to find out whether the temperature and lighting measurements results at the DANI BAKERY bakery have met the standards set based on the Decree of the Minister of Health Number 1405/MENKES/SK/XI of 2002. Temperature and lighting levels are evaluated based on the established method. After obtaining data at each measurement point at the research location, the researcher processed and analyzed data. The results of the data analysis will be compared with existing regulations, namely the Decree of the Minister of Health Number 1405/MENKES/SK/XI2002 and also the Decree of the Minister of Health of the Republic of Indonesia NO 70 of 2016 concerning Temperature and Lightning. The evaluation results show that the temperature level measurement results have exceeded the threshold value, namely 33.09℃ - 33.48℃. Meanwhile, the lighting measurement results are below the lighting threshold value, namely 66.89 Lux - 67.67 Lux.
Feasibility Analysis Of Implementation In Palm Oil Processing Factories Using The House Of Method Risk Jundullah, Muhammad; Gani, Mardhiah; Ahistasari, Asih; Hahury, Sanny; Akram, Darul
Journal of Industrial System Engineering and Management Vol. 3 No. 1 (2024): Journal of Industrial System Engineering and Management (Edisi mey)
Publisher : PT. SAFARI AMALIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56882/jisem.v3i1.29

Abstract

This study assesses the effectiveness of the House of Risk (HOR) method in mitigating supply chain risks within palm oil processing plants. By integrating Failure Mode and Effects Analysis (FMEA) with House of Quality (HOQ), the method identifies and prioritizes risk factors while proposing actionable measures for risk mitigation. Findings demonstrate that adopting the HOR method contributes to decreased liquid waste generation and enhanced production efficiency. Additionally, a bibliometric analysis of scholarly publications reveals a notable growth in research focused on risk management in the palm oil sector between 2014 and 2024. This highlights a growing recognition of the importance of systematic risk assessment and management strategies in enhancing sustainability and operational resilience within palm oil processing. The study underscores the HOR method's utility as a comprehensive approach to addressing complex supply chain challenges, thereby promoting sustainable practices and operational excellence in the industry.
Analisis Faktor Yang Mempengaruhi Rekayasa Proses Bisnis dengan Pendekatan Metode Stuctural Equation Model Clea Putri, Famelga; ., Erniyani; Herdianzah, Yan; Ahistasari, Asih
Journal of Industrial System Engineering and Management Vol. 4 No. 1 (2025): Journal of Industrial System Engineering and Management (Edisi June)
Publisher : PT. SAFARI AMALIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56882/jisem.v4i1.40

Abstract

BPR or business process reengineering is a process to achieve radical improvements in terms of time, quality, rewards, and of course costs by simultaneously redesigning processes, organizations, and information systems. In this study, IT/technology and HR factors (human resources) are used in re-engineering public facilities assisted by expert systems to create efficiency and effectiveness and increase value. The main factor used in this study is the management system, especially for making changes to the organizational structure, improving the administration system, and Relationship Management. The model suitability test in this report uses several criteria, including Chi-Square, GFI, AGFI, and RMSEA. Although the final model obtained a high Chi-square value (13.157) with a probability of zero, because several other criteria were met with an AGFI value above 0.9 and an RMSEA value below 0.08, the model is considered suitable. Based on the model output, it is known that not all antecedent variables have a significant influence on the consequent variables. Likewise, not all hypotheses are accepted. All antecedent variables cannot explain the consequent variables because the R2 value is less than 0.5.