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asset@upgris.ac.id
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Advance Sustainable Science, Environmental Engineering and Technology (ASSET) Jl. Sidodadi Timur No.24, Karangtempel, Kec. Semarang Tim., Kota Semarang, Jawa Tengah 50232
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INDONESIA
Advance Sustainable Science, Engineering and Technology (ASSET)
Published by Universitas PGRI Semarang
ISSN : -     EISSN : 27154211     DOI : https://doi.org/10.26877/asset
Core Subject : Science, Engineering,
Chemistry Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering
Advance Sustainable Science, Engineering and Technology (ASSET) is a peer-reviewed open-access international scientific journal dedicated to the latest advancements in sciences, applied sciences and engineering, as well as relating sustainable technology. This journal aims to provide a platform for scientists and academicians all over the world to promote, share, and discuss various new issues and developments in different areas of sciences, engineering, and technology. The Scope of ASSET Journal is: Biology and Application Chemistry and Application Mechanical Engineering Physics and Application Information Technology Electrical Engineering Mathematics Pharmacy Statistics
Arjuna Subject : Teknik Kimia (semua kategori) - Teknik Kimia (Lain-Lain)
Articles 250 Documents
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The Analysis of the Redesign of the Rice Storage Warehouse Layout Using the Shared Storage Method at PT. XYZ Fariq Awwali; Endang Pudji Widjajati
Advance Sustainable Science Engineering and Technology Vol. 6 No. 3 (2024): May - July
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i3.626

Abstract

In the manufacturing industry, problems often occur with warehouse layout arrangements. A finished product warehouse that is not arranged based on a good warehouse layout designer will experience difficulties in operating the product entry and exit process and is not based on the capacity of the warehouse itself. Increasingly advanced industry and increasingly fierce business competition encourage. The problems that occurred in the 4C Warehouse of the PT.XYZ Complex were in the storage warehouse and the placement of rice, causing several problems in the process of loading and unloading goods. PT.XYZ uses the Shared Storage method to arrange the warehouse space layout using the FIFO (First In First Out) principle, namely where products that are quickly sent are placed in the storage area closest to the entrance and exit. Data collection was carried out through observation, interviews and literature study. Data is calculated and analyzed by comparing the total distance of the initial layout and the proposed layout. The research results show that the total distance of the proposed layout is smaller than the initial layout with a total distance of 617,7.
The Analysis of Bottle Warehouse Facility Layout Design Using the System Layout Planning Method (SLP) Using Software Craft In PT.XYZ Nayandra Agustira Nugraha; Endang Pudji Widjajati
Advance Sustainable Science Engineering and Technology Vol. 6 No. 3 (2024): May - July
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i3.628

Abstract

Increasingly advanced industry and increasingly fierce business competition encourage companies to improve employee work output and supporting facilities, including warehouses. PT. XYZ, a bottled water manufacturing company, is facing inefficiencies in its bottle warehouse. The initial layout was not optimal, with less than optimal space utilization and high moving costs. This causes obstruction to the smooth flow of materials and products, as well as reduced productivity. This research aims to redesign the layout of PT's bottle warehouse facilities. Atlantic Biruraya uses the Systematic Layout Planning (SLP) method to maximize productivity. The SLP method was used to redesign the layout of the bottle warehouse by considering factors such as material flow, space requirements and efficiency. Data was collected through observation, interviews and literature study. Data were analyzed using SLP software. The research results show that the new layout can increase productivity by reducing total costs by IDR 90.439. With the results of the proposed layout that has been created using craft software, the company can maximize productivity because the costs and distances required have been optimized using the Layout Planning System method using craft software.
Histopathological Changes and Metallothionein Levels in Filopaludina javanica During Depuration Aminin Aminin; Diana Arfiati; Sri Andayani
Advance Sustainable Science Engineering and Technology Vol. 6 No. 3 (2024): May - July
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i3.647

Abstract

The heavy metal lead has been reported to pollute waters along the Glagah River, Lamongan Regency, Indonesia. Lead contamination in all organs of the Tutut snail (Filopaludina javanica) was detected at 2.92 ± 0.5 ppm. Therefore, lead contamination can cause severe problems because lead can accidentally accumulate in the human body through the food chain. One effort to reduce risks related to food safety is Depuration. The research aimed to analyze the effect of Depuration using a flushing system on histopathological changes and metallothionein levels in all organs of the spotted snail (Filopaludina javanica). The research used a Completely Randomized Design with four treatments and three replications. Treatment includes flushing time (6 hours, 12 hours, 18 and 24 hours). The MT response was tested statistically using One Way Anova, while the histopathological analysis used a descriptive method by comparing before treatment and after flushing treatment for 24 hours, to determine metallothionein levels, the ELISA (Enzyme-Linked Immunosorbent Assay) method was used. The results showed tissue damage in edema, hyperplasia, and vacuolation. Tissue damage before and after Depuration was relatively the same and included in the low category, with damage ranging from (0-6.1%). Meanwhile, metallothionein analysis has not shown a significant decrease in levels. Metallothionein levels increased with the duration of flushing. Further checks showed that the media water used in flushing during Depuration contained Fe and Zn, which resulted in increased MT levels
The Influence of Job Demand and Job Resources on Job Satisfaction Mediated by Work-Life Balance Among Employees at PT. Daya Tani Sembada (Rice Milling) Doni Ismail Awang Santoso; Moch. Tutuk Safirin
Advance Sustainable Science Engineering and Technology Vol. 7 No. 1 (2025): November-January
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v7i1.649

Abstract

One form of employee behavior is the desire to leave (turnover), where employees decide to leave their jobs. The employee turnover rate over the past three years at PT. Daya Tani Sembada has been above the normal limit each year, indicating that the company's turnover is high. This may suggest potential issues in human resource management or a mismatch between employees and the organization. Due to the high turnover rate, the company needs to conduct recruitment to replace these employees in order to maintain performance levels. Therefore, the researcher aims to understand the influence using the Partial Least Squares (PLS) method. Based on this research, it can be determined that job demands influence job satisfaction mediated by the work-life balance variable, and there is no influence of job resources on job satisfaction mediated by the work-life balance variable.
Impact of Employee Placement, Motivation, and Career Development on Performance and Productivity at Bank XYZ Using PLS-SEM Nadya Amelia Khumaira; Moch. Tutuk Safirin
Advance Sustainable Science Engineering and Technology Vol. 7 No. 1 (2025): November-January
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v7i1.662

Abstract

The role of employees is crucial in achieving the company's goals, as employees perform various activities from input to output in customer service. The purpose of this research is to determine the influence of employee placement, motivation, and career development variables on employee performance and employee productivity at Bank XYZ. This research employs the PLS-SEM method implemented using the statistical software SmartPLS. The results of this study show that the employee placement variable has p-values of 0.033 and t-values of 2.137 on the employee performance variable. The employee placement variable has p-values of 0.819 and t-values of 0.229 on employee productivity. The motivation variable has p-values of 0.000 and t-values of 4.141 on employee performance. The motivation variable has p-values of 0.027 and t-values of 2.217 on employee productivity. The career development variable has p-values of 0.395 and t-values of 0.851 on employee performance. The career development variable has p-values of 0.688 and t-values of 0.402 on employee productivity. The employee performance variable has p-values of 0.000 and t-values of 4.273 on employee productivity.
The AirNav Semarang Employee Presence System Using Face Recognition Based on Haar Cascade Fidela Azzahra; Christy Atika Sari; Eko Hari Rachmawanto
Advance Sustainable Science Engineering and Technology Vol. 6 No. 3 (2024): May - July
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i3.672

Abstract

The presence of employees is a key factor in supporting the needs of the workplace. At present, the employee presence system at PT. AirNav Indonesia Semarang Branch still uses fingerprint and RFID-based employee ID cards for authentication. This RFID-based system can increase employee fraud by allowing employees to misuse each other's ID cards. To avoid such fraud, a system needs to be built and it will be using face recognition technology as the primary authentication method, with the Haar Cascade Algorithm. This algorithm has the advantage of being computationally fast, as it only relies on the number of pixels within a rectangle, not every pixel of an image. In addition to fast computation, this algorithm also has the advantage of identifying objects that are relatively far away. With the implementation of the Haar Cascade algorithm, the results indicate the capability of face recognition in detecting the faces of registered employees within the system based on facial angles with an accuracy rate of 60%, expressions with an accuracy rate of 100%, as well as obstructive parameters such as glasses and masks with an accuracy rate of 33.33%. The ability to detect objects from various camera angles, recognize faces with different expressions, and identify objects obstructed by parameters can serve as reasons why this algorithm needs to be implemented
Implementation of DenseNet121 Architecture for Waste Type Classification Munis Zulhusni; Christy Atika Sari; Eko Hari Rachmawanto
Advance Sustainable Science Engineering and Technology Vol. 6 No. 3 (2024): May - July
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i3.673

Abstract

The growing waste management problem in many parts of the world requires innovative solutions to ensure efficiency in sorting and recycling. One of the main challenges is accurate waste classification, which is often hampered by the variability in visual characteristics between waste types. As a solution, this research develops an image-based litter classification model using Deep Learning DenseNet architecture. The model is designed to address the need for automated waste sorting by classifying waste into ten different categories, using diverse training datasets. The results of this study showed that the model achieved an overall accuracy rate of 93%, with an excellent ability to identify and classify specific materials such as batteries, biological materials, and brown glass. Despite some challenges in metal and plastic classification, these results confirm the great potential of using Deep Learning technology in waste management systems to improve sorting processes and increase recycling efficiency
Enhancing Bus Body Assembly Efficiency: Comparative Analysis of Ranked Positional Weight and Region Approach at PT. ABC Herry Dwi Prasetyo; Joumil Aidil
Advance Sustainable Science Engineering and Technology Vol. 6 No. 4 (2024): August-October
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i4.675

Abstract

In general line balancing problems occur in assembling industries compared to manufacturing industries. Problems that often occur on a production line can usually be seen from the presence of a high work in process bottleneck. The problem faced by the company in the production process is the level of efficiency of the workforce and production machines which are still less than optimal, due to the imbalance of the workload between work stations caused by delays in materials from the warehouse, then the operator usually waits for directions from the foreman first, then waits for the material processing process from other station. Therefore, in the bus body assembly process, it is necessary to make an analysis or calculation of the balance of the bus body assembly process so that it can run smoothly. In the line balancing study using the ranked positional weight and region approach methods, the results of the ranked positional weight method for the bus body assembly line efficiency were 78.43%, then for the balance delay of the bus body assembly 21.57% and idle time 1189.16 minutes. After data processing using the region approach method for the bus body assembly line efficiency, the results were 64.84%, then for the balance delay of the bus body assembly 35.16% and idle time 2344.75 minutes
Classification of Movie Recommendation on Netflix Using Random Forest Algorithm Alifia Salwa Salsabila; Christy Atika Sari; Eko Hari Rachmawanto
Advance Sustainable Science Engineering and Technology Vol. 6 No. 3 (2024): May - July
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i3.676

Abstract

Netflix is one of the most popular streaming platforms in this world. So many movies and shows with various genres and production countries are available on this platform. Netflix has their own recommendation systems for the subscribers according to their data and algorithm. This research aims to compare two methods of data classifications using Decision Tree and Random Forest algorithm and make a recommendation system based on Netflix dataset. This paper use feature importance to selecting relevant feature and how n_estimators affect the classification. In this research, Random Forest with 50 trees estimator with 96.84% accuracy before feature selection and 96.92% accuracy after feature selection has the best accuracy compared to the Decision Tree classification. Besides, Decision Tree has only 95.64% accuracy before feature selection and increases to 96.07% accuracy after feature selection. Trees estimator also affect the accuracy of Random Forest classification. After comparing the results, Random Forest with 50 trees estimators using feature selection provides best accuracy and it will be used to predict some similar movies and shows recommendation
Risk Mitigation in Cold Chain Sytem using ANP and FMEA : A Case Study of PT XYZ Lailatul Rohmah; Enny Aryanny
Advance Sustainable Science Engineering and Technology Vol. 6 No. 4 (2024): August-October
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i4.690

Abstract

PT. XYZ is a company that focuses on exporting marine products, especially products for surimi products, PT. XYZ experienced problems in cold chain system activities such as declining quality of fish raw materials, limited cold storage capacity, diversity of supply quality and the risk of overloud storage, resulting in the inhibition of cold chain system activities. The purpose of this study is to identify the causes and provide appropriate mitigation strategies so that risks can be minimized by the Company. This study uses an integration method between ANP and FMEA, so that a WRPN (Weighted Risk Priority Number) value can be produced. Based on the results of the analysis using the integration of the two methods, WRPN was obtained with the highest priority on quality risk factors of 170.713 and storage risk factors of 153.087 so that both risk factors are classified as high risk and need to be mitigated. The mitigation measures provided include separation of contaminated fish, monitoring, microbiological testing, compliance with standards, SOP training, cold storage maintenance, cold storage forecasting, using the FIFO method, supervision of the use of cold storage.

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