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Mega Novita
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asset@upgris.ac.id
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Jl. Sidodadi Timur No.24, Karangtempel, Kec. Semarang Tim., Kota Semarang, Jawa Tengah 50232
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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,
Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Electrical & Electronics Engineering Energy Materials Science & Nanotechnology
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 science, engineering, and technology
Arjuna Subject : Energi (semua kategori) - Teknik Energi dan Teknologi Daya
Articles 141 Documents
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Quality Assurance Plan on a Linear Accelerator (LINAC) Plane on Nasopharynx Cancer (NFC) by using Prowess Panther 5.10 at Radiotherapy Installation Ken Saras Hospital Pandu Kurnianto; Giner Maslebu; Jodelin Muninggar; Muhammad Hidayatullah
Advance Sustainable Science Engineering and Technology Vol 5, No 2 (2023): May-July
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v5i2.15247

Abstract

Radiotherapy is the treatment of cancer by using electromagnetic and particle radiation. Nasopharyngeal Cancer (NPC) is one of the difficult case to be treated in radiotherapy because its anatomical location. Precision of radiation dose is part of Quality Assurance Program as the key factor in this treatment. Thus, it is very important to ensure that the output dose of Linear Accelerator (LINAC) matched with result of Treatment Planning System (TPS). This study used Siemens LINAC Type Primus MACH Series 5633 and a set of detectors for Nasopharynx Cancer analysis with 8 field. The total dose of 5,000 cGy divided into 25 fractions with 200 cGy dose per fraction. The 8 fields are irradiated with a target on a detector device. It is then accumulated with PTW-Verisoft software by plotting the results obtained from the detector tool with PTW (phantom) which we have CT Scanned first in PTW-Verisoft. From the total detectors exposed to the radiation, the detector corresponding to PTW is 372 detectors (100%) with unsuitable detector of 0 detectors (0.00%). It is proved that the planning is 100% match for NPC with 8 fields of radiation. Thus, this method is recomended to be implemented for NPC treatment
Development of Microwave Maceration Method for the Extraction of Organic Constituents of Buton Bajakah (Kakatola) Root and Test of its Activity as an Antioxidant Imran, Imran; Alwahab, Alwahab
Advance Sustainable Science, Engineering and Technology Vol 6, No 1 (2024): November-January
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i1.17997

Abstract

The extraction of organic constituents, antioxidant activity test, and toxicity test of Bajakah Buton (Kakatola) root extract were conducted. Bajakah Buton roots were extracted using the microwave-assisted maceration method, followed by extraction using ethyl acetate solvent. The resulting yield reached 40,827% b/v. The analysis identified the presence of flavonoids, glycosides, phenols, terpenoids, and tannins. Antioxidant activity testing using the DPPH method showed IC50 values of ethyl acetate extract and vitamin C of 100.317 ppm and 13,797 ppm, respectively, indicating strong antioxidant properties. Toxicity tests using the BSLT method showed that the ethyl acetate extract of Bajakah Buton roots had a toxic activity with an LC50 value of 11,232 ppm. The results of this study will continue to be developed, so it is expected to be an important breakthrough in the field of cancer treatment.
Portable Low-Cost Home Sleep Monitor using Wemos D1 Mini Hanggara, Pramudita; Alfianto, Ade Septian; Purnama, Louis Putra; Tanra, Ivan
Advance Sustainable Science, Engineering and Technology Vol 6, No 2 (2024): February - April
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i2.18435

Abstract

Sleeps disorders are a common disease overlooked by many people. Sleep disorder have many types and kinds and often associated with other severe illness such as diabetes, stroke, obesity and many others. Sleep monitors are one of many ways to read all parameters related to sleep and detect sleep disorders the subject has, however access to sleep monitor still expensive and tough to come by. Because of that accessibility, countless development of home sleep monitor occured around the world. However, most of that device still hard to operate and some of them gives error readings of parameters. Based on this, a portable low-cost home sleep monitor was developed using Wemos D1 mini as a microcontroller, MAX30102 as an oxygen level sensor, MPU6050 as an accelerometer, DS18B20 as a breathing flow sensor, and MAX9814 as a microphone. Each of the sensors read and give value to microcontroller and store the data to cloud and display the result in user’s gadget. The aim of this development is to detect sleep disorders associated with each reading of sensors used and determine sleep quality as an early detection of symptoms before referring to professional relaled to sleep disorders or doctors.
The Implementation and Analysis of The Proof of Work Consensus in Blockchain Therry, Alvin Christian Davidson; Ardiansyah, Rizka; Pusadan, Mohammad Yazdi; Joefrie, Yuri Yudhaswana; Kasim, Anita Ahmad
Advance Sustainable Science, Engineering and Technology Vol 6, No 1 (2024): November-January
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i1.17878

Abstract

Communication in peer-to-peer (P2P) networks presents challenges in maintaining security, data integrity, and decentralization. Consensus mechanisms play a crucial role in addressing these challenges by validating data and ensuring that each entity has synchronized data without intermediaries. This research focuses on the implementation and analysis of the Proof of Work (PoW) consensus mechanism, widely used in blockchain, to enhance understanding of its functions, benefits, and workings or flow. This research, conducted using the Go programming language, successfully implements Proof of Work (PoW) as a security measure, ensuring data integrity, and preventing manipulation. Through black-box testing, this research confirms the functionality and reliability of the implemented Proof of Work (PoW) consensus. These findings contribute to a deeper understanding of consensus mechanisms, offering insights to optimize blockchain protocols and foster trust among entities. This research highlights the relevance of sustainable Proof of Work (PoW) in blockchain technology, emphasizing its role in enhancing security and ensuring data integrity in decentralized networks.
Meta Insights: Analyzing Hero Performance in Mobile Legends with K-Nearest Neighbors Kristanto, Octarizal
Advance Sustainable Science, Engineering and Technology Vol 6, No 2 (2024): February - April
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i2.18360

Abstract

This research presents a thorough statistical analysis of hero performance in the latest Mobile Legends meta, employing the K-Nearest Neighbor (KNN) algorithm. Utilizing diverse data sources, the study explores factors influencing hero success, leveraging KNN's ability to identify intricate patterns in complex datasets. Through meticulous data collection, preprocessing, and application of the KNN algorithm, the research classifies and predicts hero performance based on similarities with neighboring heroes. Critical determinants such as win rates, popularity, and hero ban rates emerge, providing profound insights into gameplay strategies. The study emphasizes the importance of understanding meta dynamics, hero attributes, and player expertise for informed decision-making in hero selection within the dynamic landscape of Mobile Legends.
Heart Disease Classification Using Deep Neural Network with SMOTE Technique for Balancing Data Cahyani, Ailsa Nurina; Zeniarja, Junta; Winarno, Sri; Putri, Rusyda Tsaniya Eka; Maulani, Ahmad Alaik
Advance Sustainable Science, Engineering and Technology Vol 6, No 1 (2024): November-January
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i1.17521

Abstract

Heart disease is the leading cause of premature death worldwide. According to the WHO, heart disease causes about 30% of the total 58 million deaths and mostly occurs in individuals who are in their productive age. This condition can occur to anyone, including individuals who do not show symptoms of heart disease. However, heart disease can be prevented with early detection. By understanding the various risk factors that can increase the potential for heart disease. Therefore, this study aims to classify heart disease using Deep Neural Network algorithm and SMOTE technique to overcome data imbalance. This research resulted in a validation accuracy of 90% with precision evaluation of 0.85, recall 0.92, and f1-score 0.88. Based on the results obtained, the Deep Neural Network algorithm after SMOTE is superior to the model without SMOTE.
Implementation of the Adaboost Method to Increase the Accuracy of Early Diabetes Predictions to Prevent Death Decision Tree-Based Alam, Laskar
Advance Sustainable Science, Engineering and Technology Vol 6, No 2 (2024): February - April
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i2.18342

Abstract

This research discusses the importance of early diabetes prediction and efforts to increase prediction accuracy using a Decision Tree Learning Algorithm and integration of the Adaboost Method. This study uses a data set from Kaggle with 520 records, 16 attributes, and one positive or negative diabetes class. The evaluation method used is the Confusion Matrix. The research results showed that the Decision Tree algorithm achieved an accuracy of 94.23%, but after integrating the Adaboost Method, the accuracy increased to 97.31%. The implications of these findings emphasize the importance of predictive approaches in early disease detection and highlight the potential of the Adaboost method in improving the accuracy of diabetes prediction.
Hardness and Microstructural Characterization of Pack Carburizing AISI 1020 Low-Carbon Steel by Temperature and Holding Time Variations Santoso, Edi; Fatkhurrohman, Fatkhurrohman; Firmansyah, Addie Restu; Putra, Septian Candra
Advance Sustainable Science, Engineering and Technology Vol 6, No 1 (2024): November-January
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i1.17583

Abstract

Recently, low-carbon steel is often used as a basic material for automotive spare parts on the market. This study aims to improve the quality of carbon steel which is not inferior to that made by manufacturers where the price is relatively affordable by carrying out pack carburizing. This study used the pack carburizing method, AISI 1020 low-carbon steel as a starting material and used fine coconut shell charcoal powder as a carbon source mixed with Na2CO3 as an energizer. Pack carburizing uses temperature variations of 850oC, 875oC and 900oC, aims to find out how the results of hardness and microstructure values for variations of temperature and holding time. And also use SAE 20w-40 oil as a quenching medium. The highest hardness results were obtained on specimens with a heating temperature of 900oC with a holding time of 60 minutes, with an average hardness value of 54.21 HRC. Accompanied by the phase formed, namely 61% pearlite 39% ferrite.
Optimizing Sample Warehouse Layout At PT BIJ: Comparative Study Of Dedicated And Class-Based Storage Arif, Muhammad Wildan; Andesta, Deny
Advance Sustainable Science, Engineering and Technology Vol 6, No 2 (2024): February - April
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i2.18727

Abstract

PT. BIJ is an analytical laboratory services company, therefore PT. BIJ needs a good warehouse to be able to accommodate the samples it has PT. BIJ experienced problems with sample storage. Therefore, it is necessary to improve the sample storage system to make it easier to find samples to be analyzed. Using the Dedicated Storege and Class Base Storage methods will help provide grouping for each type of sample and place the samples in the right place so that the sample travel distance is shorter. The results of the research carried out can be obtained that the initial travel distance is 262.98 meters, while the proposed dedicated storage distance is 163.19 meters and the proposed basic class storage distance is 149.95 meters, so there is the largest percentage difference of 42.89%. So it can be concluded that using the class base storage method is better than the dedicated storage method.
Implementation of a Decision Support System with a Simple Additive Weighting Method for the Selection of Quality Bird Breeder Septianto, Naafi; Aryanto, Joko
Advance Sustainable Science, Engineering and Technology Vol 6, No 1 (2024): November-January
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i1.17816

Abstract

Indonesia is a country blessed with abundant natural resources, one of which is the diverse variety of chirping birds that captivate the attention of many. The high demand for these birds has led to a decline in the population of wild chirping birds due to increased illegal capture. To address this issue, bird breeding programs have been implemented. The selection of superior quality chirping birds will determine the offspring produced. Superior quality bird brooders can also increase the selling price of the resulting chicks. Therefore, the determination of superiorquality bird breeders is very crucial for decision makers who are related in this case are chirping bird breeders. If it is not done properly and accurately, the wrong selection of chirping birds often results in various problems. Some of the problems that arise include the results of tillers that have low quality to the difficulty of selling livestock produced tillers. Decision-making models can be used to help chirping bird breeders make decisions. The Simple Additive weighting (SAW) method is expected to be able to help overcome the problems encountered. The purpose of this study was to create a decision-making system for the selection of superior quality chirping birds. It is hoped that there will be no mistakes in the selection of chirping birds.

Page 10 of 15 | Total Record : 141

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