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All Journal International Journal of Advances in Applied Sciences Journal of Engineering and Technological Sciences Teknika: Jurnal Sains dan Teknologi RELE: Rekayasa Elektrikal dan Energi Jurnal Teknik Elektro Jurnal Teknovasi : Jurnal Teknik dan Inovasi Mesin Otomotif, Komputer, Industri dan Elektronika Jurnal INTECH Teknik Industri Universitas Serang Raya Industrial Engineering Journal (IEJ) Jurnal Optimalisasi MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Bulletin of Computer Science and Electrical Engineering (BCSEE) Journal of Community Service and Empowerment International Journal of Engineering, Science and Information Technology Malikussaleh Journal of Mechanical Science Technology Mejuajua Journal of Renewable Energy, Electrical, and Computer Engineering Profisiensi : Jurnal Program Studi Teknik Industri Jurnal Solusi Masyarakat Dikara
M Sayuti
Department Of Electrical Engineering, Universitas Malikussaleh
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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Journal : International Journal of Engineering, Science and Information Technology

 1 
Supply Chain Risk Analysis With MAFMA Method Approach Fatimah Fatimah; Indah Asmara; Sri Mutia; M Sayuti
International Journal of Engineering, Science and Information Technology Vol 1, No 4 (2021)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (275.531 KB) | DOI: 10.52088/ijesty.v1i4.196

Abstract

Palm oil mill is a palm oil and palm kernel processing industry which is a semi-finished product. The palm oil industry is currently growing rapidly in line with the demand for large quantities of CPO and Kernal and their derivatives. In its operation, it is always faced with various risks, from the field to the processing plant. These risks will cause losses to the factory, especially in the form of financial. From the results of field observations obtained 13 kinds of supply chain risks, namely damaged trucks, FFB not up to standard, damaged FFB, insufficient FFB, network error, FFB damaged in the sorting field, boiling problems, problematic polisyndrom, abnormal steem, abnormal processes. /stops, viber cyclone plugs and leaks pipe. Therefore, it is necessary to identify, measure and manage risks to reduce losses caused by supply chain risks. The method used in this study is the MAFMA (Multi Attribute Failure Mode Analysis) method. The MAFMA method is a development of the FMEA method. The results showed that the risk level value contained 4 critical risks on the part of the factory, namely FFB less with a risk level value of 0.096, FFB not according to standards with a risk level value of 0.085, network error with a risk level value of 0.083 and the process running abnormally. /stop with a risk level of 0.073. These 4 critical risks are the priority to be handled. The handling carried out is planning for the right FFB procurement, providing guidance on the harvesting process, stabilizing the network by providing copper rods and planning machine scheduling.
Forecasting Model Of Arabica Coffee Export Demand With Decomposition Method On CV. Gayo Coffee Oro Syarifah Akmal; M Sayuti; Muhariani Hasibuan
International Journal of Engineering, Science and Information Technology Vol 2, No 3 (2022)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (304.385 KB) | DOI: 10.52088/ijesty.v2i3.282

Abstract

Coffee is one type of plant that has a harvest season in certain months, while the amount of coffee export demand is always there even though it is not in the coffee season. So that the company is often unable to meet the demand for coffee exports. This study aims to find out how the use of the decomposition method in forecasting the demand for Arabica coffee exports and also to find out the results of forecasting the demand obtained. This study uses a quantitative approach, which was conducted at CV. Oro Kopi Gayo is located in the Gayo highlands, precisely in the Mongal Village, Bebesen District, Central Aceh Regency. The data used in this study is secondary data, namely data on Arabica coffee export demand from 2017 to 2021. The results of forecasting coffee export demand using the decomposition method in 2022, which is 1754216 kg, have increased when compared to demand in 2021, which is equal to 1536000 kg with a percentage increase of 14%. Demand for coffee exports in January was 160192 kg, February was 172445 kg, March was 146829 kg, April was 76822 kg, May was 88583 kg, June was 106127 kg, July was 129510 kg, August was 45472 kg, September was 45472 kg 269457 kg, October 225509 kg, November 239090 kg, and December 94090 kg. The highest demand for Arabica coffee exports occurred in September, amounting to 269457 kg, in November at 239090 kg, and in October at 225509 kg. Then it decreased again in December, which was 94090 kg. The increase and decrease in the repetitive data pattern indicate that the data has a seasonal pattern.
The Effect of Natural Fiber Percentage on the Tensile Strength of Paper Using ANOVA Reza Syahputra; Muhammad Sayuti; Fatimah Fatimah; Sri Mutia
International Journal of Engineering, Science and Information Technology Vol 3, No 2 (2023)
Publisher : Department of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v3i2.448

Abstract

Paper is generally made of cellulose fibers derived from wood raw materials. Increased demand for production will have an impact on forest exploitation which can lead to environmental stability. Alternative natural fibers containing cellulose fiber are biomass waste such as Galangal Stems (Alpinia Galanga), Pineapple Leaves (Ananas Cosmosus), Banana Stems (Musa Paradisiaca), and others. The use of natural fibers can reduce the exploitation of wood as a raw material for paper. The purpose of this study was to determine the effect of natural fibers consisting of galangal stems, pineapple leaves, banana contains, and waste paper on the tensile strength of paper using ANOVA. The ratio of the percentage of fiber passed is galangal stems 50:10 and 50:40, pineapple leaves 50:10 and 50:40, banana contains 50:10 and 50:40, and waste paper 100% or without comparison. Tensile strength was carried out according to ASTM-D638, then data processing was carried out using the One Way ANOVA method. The results showed that the highest tensile strength value of banana stem paper and waste paper with a ratio of 50:10 was obtained at 7.04262 MPa resulting in the best tensile strength compared to other fibers. Factors that affect the tensile strength are the length of the fiber, and the bonds between the fibers are related to the fiber content. The results of this study concluded that the greater the number of material components in the manufacture of recycled paper, the greater the tensile strength of the report produced.
Analysis of Visitor Satisfaction at the Samudera Pasai Islamic Museum Tourist Attraction Using the Servqual Method Nazarta Sinaga, Dearma Fahri; Fatimah, Fatimah; Sayuti, Muhammad
International Journal of Engineering, Science and Information Technology Vol 4, No 3 (2024)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i3.513

Abstract

Visitor satisfaction greatly influences the development of the tourism industry, the development of the tourism industry in a region will give birth to other supporting businesses. The Samudera Pasai Islamic Museum is one of the cultural-based tourist attractions that displays tourist attractions in the form of fine art, historical relics and customs. The Samudera Pasai Islamic Museum is located in North Aceh Regency, Aceh Province. In 2023, the average number of museum visitors was 1,050 people and there was a significant decrease in visitors in September 2023. The purpose of this study was to determine visitor satisfaction with the quality of service provided by the management of the Samudera Pasai Islamic Museum. The method used in this study is the Service Quality (Servqual) method. Servqual is a method used to identify the level or quality of visitor satisfaction with the services provided by a service industry through five dimensions, namely tangibles (physical evidence), responsiveness, reliability, empathy and assurance by analyzing the gap between the value of perception and the value of visitor expectations. The results of the study showed that in the tangibles dimension, the gap value was obtained at -0.50, the responsiveness dimension obtained a gap value of -0.43, the reliability dimension obtained a gap value of -0.32, the assurance dimension obtained a gap value of -0.26 and the empathy dimension obtained a gap value of -0.34. These results indicate that the satisfaction of visitors to the Samudera Pasai Museum has not been achieved, so service improvements are needed
Application of Fuzzy Mamdani Method to Predict the Number of Blood Bags Based on Demand and Supply Data Using Matlab Imelda Nasrul, Tiara; Amri, Amri; Sayuti, Muhammad
International Journal of Engineering, Science and Information Technology Vol 4, No 4 (2024)
Publisher : Department of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i4.567

Abstract

Fuzzy logic is a control system technique in solving problems and is applied to systems, from basic systems to difficult or complex systems. Fuzzy logic is the proper method to plan an input space into an output space using MATLAB's mathematical theory of fuzzy sets. The reason for using fuzzy logic is because it is related to uncertainty. The unstable demand for blood bags in hospitals makes the supply of blood bags excessive or lacking from demand. The lack of blood supply results in the unfulfilled demand for blood needed by the hospital, while the excess blood supply worsens the quality of blood. In this study, we will predict the number of bags produced using the Mamdani Fuzzy Inference System (FIS) method based on the minimum demand and maximum demand values and the minimum supply and maximum supply that produce output from the defuzzification process. Applying the Mamdani Fuzzy Inference System (FIS) method based on demand and supply data obtains optimal output with MATLAB in predicting the number of blood bags produced. The results of the study showed that the Mean Absolute Percentage Error (MAPE) fuzzy logic Mamdani error value was 24%, the accuracy value of the Fuzzy Inference System (FIS) Mamdani in determining the number of blood bag production was 76%, and the production output generated through the Fuzzy Inference System (FIS) Mamdani was 4,774 blood bags. The number of blood requests at the hospital is 4,443 blood bags, so the amount of blood that must be produced to meet the hospital's demand is 4,774 bags.
Analysis of Occupational Health and Safety Hazard Risk Using Hazard and Operability and Fault Tree Analysis Methods Maharani, Cindi; Amri, Amri; Sayuti, Muhammad
International Journal of Engineering, Science and Information Technology Vol 5, No 1 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i1.676

Abstract

This study aims to identify the potential for occupational health and safety hazards using the Hazard and Operability (HAZOP) method and to provide recommendations for resolving the root causes of work accidents using Fault Tree Analysis (FTA). This study was conducted at PT. X, engaged in the plantation and processing of latex, is called Crumb Rubber. Based on data from 2022 to 2023, there are eight potential work accidents caused by several factors, such as the work environment, machines, and humans. The company has implemented an occupational health and safety program to support the safety of the company workforce. Even so, work accidents in the company still occur due to workers not being aware of the importance of occupational health and safety; this can be seen in workers who ignore their safety by not using complete personal protective equipment provided by the company. This still causes the potential for work accidents to occur. The study results show that the Hazard and Operability analysis revealed four different sources of danger that need attention: Low risk, such as split palms and slipping; Medium risk, including incidents such as sprained hands. High risk, including the potential for feet being stabbed by hooks, injured or cut hands, blistered and itchy hands, forklift accidents, and exposure to chemicals. Extreme risk is the potential for eye irritation. Based on the root causes of work accidents that have been observed using the Hazard and Operability method, recommendations were obtained using the Fault Tree Analysis method in the form of improving work attitudes, including creating a work health and safety training schedule, developing worksheets, and implementing attractive poster displays (visual displays). Recommendations for improving work environment conditions are recommended, especially managing puddles and chemical spills and optimizing machine maintenance.
Workload Measurement Using the Cardiovascular Load Method and Defense Research Agency Workload Scale Kurniawan, Dicky; Akmal, Syarifah; Sayuti, Muhammad
International Journal of Engineering, Science and Information Technology Vol 4, No 4 (2024)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i4.608

Abstract

Workload is a collection of tasks set to be completed within a specific time. The workload can be broken down into "qualitative" (too much or too little) or "quantitative" (too much or too little), which occurs when people are unable to complete tasks or if they do not utilize the abilities they have in achieving a particular job. This study aimed to determine the workload of workers engaged in the sale of fresh or cut chicken meat. Cardiovascular Load is an estimate to determine the classification of workload based on the increase in work pulse compared to the maximum heart rate. The Defense Research Agency Workload Scale (DRAWS) method is a multidimensional technique that involves participants through subjective questions and assessments consisting of four workload dimensions: input demand, central demand, output demand, and time pressure. The results showed that the workload pulse using Cardiovascular Load, the level of fatigue based on workload obtained at the chicken slaughter station by worker 1 was 44.77%, and worker 2 was 41.11% with the category of improvement needed. At the chicken cleaning station, worker 1 was 44.13%, and worker 2 was 47.43%, with the category of needed improvement. At the chicken cutting station, worker 1 was 43.73%, and worker 2 was 45.85%, with the category of needed improvement. The study's DRAWS method results showed that at the chicken slaughtering station, worker 1 was 84.25%, and worker 2 was 87.05% with the overload category. At the chicken cleaning station, worker 1 was 86.75%, and worker 2 was 84.20% with the overload category. At the chicken cutting station, worker 1 was 85.75%, and worker 2 was 81.30%, with the overload category. This means that six respondents felt a high mental burden, so improvements are needed to reduce the impact of the cognitive workload of workers. The upgrades provided include the provision of chairs around the work area, especially at the chicken slaughtering station, so that workers can sit and rest for a moment to reduce the physical workload experienced by workers.
Analysis of the Influence of Work Shifts on Employee Workload Using the NASA-TLX Methods Firmansyah, Daffa; Erliana, Cut Ita; Sayuti, Muhammad
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.780

Abstract

The workload workers face can influence their performance and productivity physically and subjectively. Physical workload includes factors such as environmental temperature, noise, and lighting, which affect the worker's health, while subjective workload encompasses time pressure, effort, and stress experienced by the worker. One form of workload that can impact employees is the shift work system, which often leads to physical and psychological fatigue if not correctly managed. This Company, which implements a shift work system in its rubber processing factory, faces employee productivity and health challenges. This study aims to evaluate employees' workload using the NASA-TLX method, which measures six workload dimensions: Mental Demand, Physical Demand, Temporal Demand, Performance, Effort, and Frustration Level. The results of this study are expected to provide insights into the factors affecting employees' workload and offer recommendations for improving the work system to enhance productivity and team member well-being within the Company.
Co-Authors Agus Hari Pramana Aini, Nyak Qurratu Akmal, Syarifah Al-Ani, Waleed Khalid Ahmed Amri Amri Anggi Chairani Arnawan Hasibuan Asnawi Azman, Azman AZMI, AZMI Baidhawi Baidhawi Bayu Maulana Farista Cindenia Puspasari Cut Ita Erliana Darisma, Dian Diana Khairani Sofyan Edy Yusuf Ezwarsyah Ezwarsyah Fadhliani, Fadhliani Faisal, Muhammad Fajar Syahbakti Lukman Fatimah Fatimah fatimah Fatimah Firmansyah, Daffa Herman Fithra Hidayatullah, Ferdy Husein, Ratna I Iswardi I Made Ari Nrartha Imelda Nasrul, Tiara Indah Asmara Kurniawan, Dicky Maharani, Cindi Mariyudi Mariyudi Maulana Ikhsan Misbahul Jannah Mohammad Alhajji Muhammad Daud Muhammad Muhammad Muhammad Muhammad Muhammad Muhammad Muhammad Yusuf Muhariani Hasibuan Nanda Novita Nanda Savira Ersa Nazarta Sinaga, Dearma Fahri Nur Fardian, Nur Nurul Aflah Nurul Islami, Nurul Puspasari, Cindeni Putra, Reza Rahmat Andria Raihan Putri Reza Putra Reza Putra Reza Syahputra Rifai Siddiq Muhammmad Rizky Almunadiansyah Robi Kurniawan Roid, Fahrian Rosdiana Rosdiana Sahara Sahara Saputra, Ahmad Sandi Yayan Shamsuddin Sulaiman Silvira Maulinda Siregar, Widyana Verawaty Sri Mutia Supriono Supriono Syafrizal Idris Syamsul Bahri Syarifah Akmal Teuku Ilhami Surya Akbar Widyana Verawaty Siregar Zahrani, Amilia Zulnazri, Z