cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Mega Novita
Contact Email
asset@upgris.ac.id
Phone
+6281958990880
Journal Mail Official
asset@upgris.ac.id
Editorial Address
Advance Sustainable Science, Environmental Engineering and Technology (ASSET) Jl. Sidodadi Timur No.24, Karangtempel, Kec. Semarang Tim., Kota Semarang, Jawa Tengah 50232
Location
Kota semarang,
Jawa tengah
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 233 Documents
 1   2   3   4   5 
Analysis of Lean Manufacturing Using the Waste Assessment Model (WAM) to Reduce Waste in the Bolt Production Process at PT.XYZ Irma Dani Br Sinulingga; Rusindiyanto
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.v7i1.699

Abstract

PT.XYZ was established in 1975 and is a manufacturer of bolts, nuts, anchor bolts, stud bolts, tapping screws, and washers in Southeast Asia, with an annual production capacity of 48,000 tons. These products serve various industries such as construction, manufacturing, automotive, and general industries. Despite careful planning, challenges in large production volumes and varied product specifications remain obstacles in meeting customer demand. Amidst global competition and stringent industry standards, implementing lean manufacturing is crucial to enhance efficiency and competitiveness. This study aims to identify waste ≤ 17% using the Waste Assessment Model, conduct Root Cause Analysis to pinpoint waste origins, and propose improvement strategies using 5W+1H Analysis. Findings reveal Inventory (21.44%) as the highest waste contributor, attributed to interdepartmental coordination issues, production errors, lack of operator focus, delayed resource availability, and production flow bottlenecks. Additionally, Defects (18.47%) arise from excessive workload on production operators. Improvement recommendations include enhancing interdepartmental coordination, refining production scheduling, evaluating production processes, and conducting training and evaluations to enhance operator skills.
Synthesis and Characterization Materials Modern (CMC-Fe3O4-Chitosan-TiO2) As Portable Adsorbent Toxic Metal (Hg) and Dye Substance (Rh B) Kaharuddin Kahar; Muh Edihar; Suhardin
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.v6i3.709

Abstract

The synthesis of the portable adsorbent material CMC-Fe3O4-Chitosan-TiO2 begins by inserting the CMC-Chitosan mixture into the leaching solution. Next, concentrated NaOH and 3% CaCl2 were added, then decanted and dried at room temperature. After that, the composite was coated with TiO2 and then dried in an oven at a temperature below 100 oC. The success of the synthesis was indicated by the presence of specific absorption in FT-IR. 3429 cm-1 hydroxyl group, 2926 cm-1 for the CH/CH3 group, 1631 cm-1 for the carbonyl group (C=O), 1642 cm-1 which is the CH/CH3 group, as well as ) and ( at 400-600 cm-1. In addition, the different surface morphology of the material formed from its basic components is based on SEM characterization sails. Adsorption test results for Hg (II) metal ions were 53% while dyes were 38% with a time of 40 minutes. This research is good for handling watermaster
Optimization Of Crude Palm Oil Production Machine Scheduling Using The Campbell Dudek Smith (CDS) Method Ratri Nurfitriah; Fibri Rakhmawati
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.v6i3.731

Abstract

Palm oil production in Indonesia currently meets  40% of the world’s consumption needs. Control and planning of  the production process in maximizing performance results that are useful for  maximizing profits and minimizing losses can be archived through optimization and scheduling. One method that can be used in scheduling optimization is the Campbell Dudek Smith (CDS) method. By using the CDS algorithm, each treatment to be completed must go throught the work process on each production machine (flowshop) to get the minimum makespan value. This method can be used to sort jobs in the palm oil production process which is carried out at several stations. Where each machine works according to the production process sequence schedule. The results of the optimal job sequence in the palm oil production process using CDS are : J1  J2 J3  J4  J5  J6  J7 J8  J9 J10 J11 J12  J13 with an optimal makespan value of 404 minutes.
Analysis of Electrical Energy Potential from Palm Oil Frond Bioethanol: Case Study of North Bagan Sinembah Village Rokan Hilir Regency, Riau Ariyanda Lubis; Marhama Jelita
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.v7i1.734

Abstract

North Bagan Sinembah village in Riau province contributes a land area of ​​7.376,4443 ha which produces frond biomass 6,3 tons of oil palm fronds per year, North Bagan Sinembah Village so far has not had access to PLN electricity and only uses a generator with a running time of 6 hours per day. This research aims to find the electricity needs of North Bagan Sinembah village with a homogeneous sample, the sampling method used is simple random sampling. This research too test the potential of palm frond bioethanol using the fermentation method using the SuperPro Designer application, calculate potential energy and electrical power with method from a variety of mixed fuels E10%, E30%, E50%, E100%. The electricity needs of North Bagan Sinembah Village are 867,62 kWh with volumetric flow potential of 15,72 L/ha/day, 1.641,66 L/ha/month and 18.053,72 L/ha/year. By using a variety of fuel mixtures E10 produce 172,68 kWh/day, 5.261,88 kWh/month, 57.866,3 kWh/year. E30 produce 161,77 kWh/day, 4.855,16 kWh/month, 53.392,6 kWh/year. E50 produce 1.632,9 kWh/day, 50.400,66 kWh/month, 538.747,9 kWh/year and E100 produces electrical power of 1,257.30 kWh/day, 38,808.48 kWh/month, 414,835.88 kWh/year. The potential electrical power for the fuel mixture is E10 4,144.32 Watts/day, 126,285.12 Watts/month, 1,388,791.2 Watts/year. E30 produces 3,882.48 Watts/day, 116,523.84 Watts/month, 1,281,422.4 Watts /year, E50 39,189.6 Watts/day, 1,209,615.84 Watts/month, 12,929,949.6 Watts/year and E100 produces 30,175.2 Watts/day, 931,403.52 Watts/month, 9,956,061.12 Watts/year. It can be concluded that with variations in the fuel mixture of dexlite and ethanol at each percent of the mixture, it has a large potential for E50 (50% Dexlite and 50% ethanol) per year of 12,929,949.6 watts, due to harvesting palm fronds twice a month, the production bioethanol is carried out every month with a potential electrical power of 1,209,615.84 watts/month.
Designing Steel Warehouse Layouts: A Comparative Study of Dedicated Storage and Class-Based Storage Methods at PT. BSB Maghrobi Muzzaky Pratama; Said Salim Dahda
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.v6i3.737

Abstract

PT BSB is a company engaged in steel fabrication manufacturing. There are various kinds of projects carried out at the company, namely bridges, steel structures, buildings, towers, etc. and the irregular placement of steel in the warehouse results in problems in the steel storage warehouse at PT. BSB where the company does not have an arrangement regarding the layout of raw materials for steel retrieval has difficulty because the steel is stored randomly without paying attention to its type and is only placed in an empty place. Therefore, it is necessary to design a layout using the dedicated storage and class-based storage methods to improve the warehouse layout by designing a warehouse layout so that it can make it easier to find and minimize steel search time. Results of research carried out obtained that distance travelled using the dedicated storage method is amounting to 7790,85 metres with material handling time 15581,7 minutes, whereas with use class based storage method can be obtained distance 8382,05 metres with material handling time 16764,1 minutes. Concluded that design results Select the selected layout is with use possible dedicated storage method reduce distance travel and time at PT. BSB warehouse becomes more practice and efficient
Environmental Impact Analysis on Furniture Industry by Implementing Life Cycle Assessment (LCA) Method Aulia Dita Ananda Lestari; Farida Pulansari
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.v7i1.747

Abstract

Currently the industry is experiencing an increase every year. One of them is the furniture production industry. In East Java there is a furniture industry which experiences an increase in production demand every year. This does not only apply to local consumers but also foreign consumers. PT XYZ implements a make to order system, namely products are made when consumers order them. The amount of production demand is directly proportional to the amount of industrial waste produced, but the company has never carried out an analysis of the impacts. Therefore, this research will discuss environmental impact analysis using life cycle assessment to calculate the life cycle value of the production of a furniture product with cradle to gate limitations. This research was assisted by OpenLCA 2.1.0 software using the Agribalyse_301 database and then for impact assessment using the EDIP 2003 method. After calculating, recommendations for improvement were looked for to reduce the resulting environmental impact. The results of this research for 1 unit of table product production are 3.51166 Pt. The highest impact was produced by the production process, namely Ozone depletion of 0.58215 Pt. This impact can pollute the environment due to the large use of electricity. It is best for companies to use electricity from renewable sources.
Synthesis and Characterization of Nanoparticle Calcium Oxide (CaO) from Blood Calm Shell by Precipitation Methods Aisy Aulia Amri; Zahranisa Shorea; Caecilia Puji Astuti
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.v6i4.765

Abstract

Blood Clam (Anadara granosa) contains high calcium carbonate which can be utilized in various fields by being used as nanotechnology. The shell contains 98.7% CaCO3 making it a sustainable material source. The research aims to synthesize and characterize of calcium oxide nanoparticles by precipitation methods. This method begins with crushing the shell into 100 mesh as sample. Each sample is mixed with HCl solute. After mixing, each filtrate is precipitated with KOH solute to multiple pH (7 ; 9 ; 11). The method continues with neutralizing the precipitate with water until it reach pH 7 and drying it with oven in 100oC for 1 hour. The sample will be calcinated for 3 hours in various temperature (300oC ; 500oC ; 900oC). Samples will be analyzed with SEM-EDX and XRF Analysis. Research indicates that The degree of acidity and calcination temperature do not have a significant effect on calcium oxide content. The calcium oxide content is ranged between 82,58% - 87,47% with the sizes being ranged between 550 nm - 20mm.
A Web-Based for Demak Batik Classification Using VGG16 Convolutional Neural Network Salma Shafira Fatya Ardyani; Christy Atika Sari
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.v6i4.771

Abstract

The diversity of Demak batik motifs presents challenges in classification and identification. This research aims to develop a Demak batik motif classification system using deep learning and VGG16 convolutional network. A dataset of Demak batik images is collected and processed to train the model. The VGG16 architecture is modified by fine-tuning to optimize the classification performance. Results show that the modified VGG16 model achieved a classification accuracy of 98.72% on the test dataset, demonstrating its potential application in preserving and digitizing Demak batik cultural heritage.
Classification of Corn Leaf Disease Using Convolutional Neural Network Ratih Ariska; Christy Atika Sari; Eko Hari Rachmawanto
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.v6i4.772

Abstract

Corn is a crop that plays a major role in food supply worldwide. Known as a cereal crop with high economic value, corn is one of the most important raw materials in the agricultural industry in many parts of the world. Leaf blight is characterized by small spots that gradually enlarge and turn brown. It is a decay of foliage caused by the fungus or species Rhizoctonia solani. Leaf spot is caused by the fungus Hel-minthoporium maydis, while stem rot is caused by Fusarium granearum. From these problems, a machine learning-based solution is given to classify corn leaf diseases using the Convolutional Neural Network (CNN) algorithm. CNN are used to classify corn leaf diseases. The selection of CNN is based on its ability to extract local attributes from image data and combine them for a more detailed and abstract representation, which is better. Classification was performed using 2145 datasets for leaf blight and 1574 datasets for leaf spot. The accuracy results obtained from this study reached 99% with the last training accuracy value of 99.06% and the last validation accuracy result of 98.50%. For future research may use more modern architectures such as classification using EfficientNet B3 architecture with transfer learning or MobileNet to improve accuracy results.
Synthesis of Avocado Seeds Into Biodiesel Using A Catalyst CaO From Blood Cockle Shell Suprihatin; Alif Julian; Muhammad Fikri
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.v6i4.779

Abstract

Biodiesel is an environmentally friendly fuel made from oil vegetables that contain triglycerides. Biodiesel from avocado seed vegetable oil in Indonesian agricultural areas which according to BPS 2022 data, Indonesia produces 183,000 tons of avocados per year. This research aims to gained the effect of adding reaction temperature and Oil : Methanol ratio influence on biodiesel production. The avocado seed oil obtained by soxhlet extraction method, where 50 gram avocado seeds powder extracted with n-hexane solvent in 1 hour extraction time and 60℃ temperature giving result 10% yield of avocado seed oil . The CaO catalyst are obtained from Calcination procees of blood cockle shells in 900℃ temperature and 4 hours calcination time giving 98.82% CaO Cotent. The biodiesel is produces with 97% methanol reactant and 98.82% CaO catalyst in various methanol volume (30; 40; 50; 60; and 70 ml) and under different temperature conditions (30; 40, 50, 60, and 70 ℃). The best result of transesterification process biodiesel is obtained in 50℃ and 40ml methanol gets biodiesel yield of 96%, methyl ester content of 99.83%,  density of 865 gr/cm3, viscosity of 2.5 cSt  , mgKOH/gr acid number of 0.56 of, and heating value of 9871.6 kcal/kg. Based on the high result of methyl ester content and heating value of biodiesel obtained from the procees, the avocado seed oil biodiesel potentially used as an sustainable energy.

Page 3 of 24 | Total Record : 233

 1   2   3   4   5 

Filter by Year

2024 2025


Reset
Filter By Issues
All Issue Vol. 7 No. 4 (2025): August-October Vol. 7 No. 3 (2025): May - July Vol. 7 No. 2 (2025): February-April Vol. 7 No. 1 (2025): November-January Vol. 6 No. 4 (2024): August-October Vol. 6 No. 3 (2024): May - July