cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Alde Alanda
Contact Email
alde@pnp.ac.id
Phone
+6281267775707
Journal Mail Official
editor@ijasce.org
Editorial Address
Kampus Limau Manis
Location
Kota padang,
Sumatera barat
INDONESIA
International Journal of Advanced Science Computing and Engineering
Published by Society of Visual Informatics
ISSN : 27147533     EISSN : 27147533     DOI : https://doi.org/10.30630/ijasce
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
The journal scopes include (but not limited to) the followings: Computer Science : Artificial Intelligence, Data Mining, Database, Data Warehouse, Big Data, Machine Learning, Operating System, Algorithm Computer Engineering : Computer Architecture, Computer Network, Computer Security, Embedded system, Coud Computing, Internet of Thing, Robotics, Computer Hardware Information Technology : Information System, Internet & Mobile Computing, Geographical Information System Visualization : Virtual Reality, Augmented Reality, Multimedia, Computer Vision, Computer Graphics, Pattern & Speech Recognition, image processing Social Informatics: ICT interaction with society, ICT application in social science, ICT as a social research tool, ICT education
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 9 Documents
 1 
Search results for , issue "Vol. 5 No. 1 (2023)" : 9 Documents clear
Analysis of Handover Priority in Intra Technology Radio Access Yuhanef, Afrizal; -, Zurnawita; Amalia, Fitri; -, Nasrul; Syawaldipa, Ardi
International Journal of Advanced Science Computing and Engineering Vol. 5 No. 1 (2023)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (784.176 KB) | DOI: 10.62527/ijasce.5.1.109

Abstract

A handover strategy is required to ensure connection continuity for cellular network users due to user mobility. Handovers on the same frequency (intra-frequency) and handovers on other frequencies (inter-frequencies) are conceivable in the Intra Radio Access Technology network. The network must be able to give the best quality and optimal bandwidth so that consumers can keep their connection. Most cells have more than one bandwidth channel. A test was performed in this study to determine the influence of priority handover on intra-frequency LTE handover on signal strength and throughput. This study is based on actual measurement findings from the deployed 4G LTE network transceiver device, which contains several carriers for each eNodeB. TEMS Pocket, a mobile gadget, was used to collect data for measurements. For analysis purposes, the parameters RSRP, throughput, frequency band, serving cell identification or PCI (Physical Cell Identity), and event handover are employed. In the inter-frequency LTE handover, there are two priority handovers: handovers from lower bands to higher bands (high priority) and handovers from higher bands to lower bands (low priority). When a low-priority handover happens, the RSRP value and throughput increase, while a high-priority handover causes the RSRP value to decrease.
Analysis on The Effect of Channel Bandwidth Occupying in LTE Frequency Band on Throughput Yusnita, Sri; -, Yustini; Markis, Lince; Tristianti, Widia; Wijaya, Taruma Leo
International Journal of Advanced Science Computing and Engineering Vol. 5 No. 1 (2023)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (438.864 KB) | DOI: 10.62527/ijasce.5.1.110

Abstract

The maximum channel capacity of a 4G LTE network will be directly correlated to the channel bandwidth that occupies a certain radio frequency on that network. The number of Resource Blocks (RB), subcarriers, and Resource Elements (RE) as channel resources available to serve users concurrently will depend on the bandwidth channel sizes. Mobile service providers in Indonesia provide scalable channel bandwidth LTE 4G networks on a variety of frequency bands, including adjacent and non-adjacent bands. In this study, it was examined how to channel bandwidth, which changes at 10MHz, 15MHz, and 20MHz, affects throughput to give user equipment the best possible performance (UE). This study makes use of actual measurement data from installed and active eNodeB or cells obtained via the drive test approach. According to the test, each channel's maximum throughput varies, however, there is no linear relationship found between channel bandwidth expansion and throughput. The 20MHz channel bandwidth, which is located in the 2300MHz frequency band, has a maximum throughput value of 64666.80 kbps.
Comparative Study of Machine Learning Models on Multiple Breast Cancer Datasets Hussain Sujon, Md. Arman; Mustafa, Hossen
International Journal of Advanced Science Computing and Engineering Vol. 5 No. 1 (2023)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.5.1.105

Abstract

Carcinoma is one of the scariest and most frequently occurring cancers nowadays among females. It affects nearly around 10% of females all over the world at some point in their lives. Although the cure for this cancer is currently obtainable, the treatment is not effective enough if the disease is not identified at the early stages. Generally, some contemporary medical tests: roentgenogram, breast ultrasound, biopsy, etc., are used for identifying breast cancer. As an alternative, researchers are exploring machine learning techniques for classifying tumours at different stages, e.g., benign and malignant. Classification and data processing strategies can be effective mechanisms for the prediction of cancer. In this paper, we analyze six classification models: Decision Tree, K Nearest Neighbours, Random Forest, Logistic Regression, Extra Trees, and Support Vector Machine on three different datasets. We applied simple principle component analysis (PCA) to reduce dimensions of the datasets. Experimental results show that Random Forest obtained the best accuracy, recall, and F1 score among the six classification techniques for all three datasets. We also find that data attributes and values are important for accurate classification.
A Prototype Platform for Automated Chicken Feeding Control with an Embedded System Natho, Parinya; Chamuthai, Likit; Boonying, Sangtong; Tantidontanet, Nantiya
International Journal of Advanced Science Computing and Engineering Vol. 5 No. 1 (2023)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.5.1.106

Abstract

In this paper present a prototype platform for automated chicken feeding control with an embedded system. This prototype is an automated real-time chicken feeding mixing system that will help chicken farmers become more automated, which will be highly beneficial for the expansion of the chicken poultry farm in Phra Nakhon Si Ayutthaya, Thailand. This machine may take the role of a person in the chicken-feeding process, solving the farm's labor shortage. The apparatus for feeding chickens makes use of an Arduino Uno board as the heart of an embedded system controller. The two major components of this device are an Arduino that controls the servomotor opening for the food container and another Arduino that controls the servomotor opening for the food ingredients in a mixed food container. The prototype platform will have an alarm when the food ingredients are at the minimum quantity. This also helps the chickens get the amount of food and nutrients that are appropriate for their age while reducing labour costs, saving food, and controlling chicken feeding on time.
Carbon Emissions and Net Zero Under Carbon Capture, Usage and Storage (CCUS) Technology Babu, A Mahesh; Akhil, Barapati; Pochampally, Naveen Kumar
International Journal of Advanced Science Computing and Engineering Vol. 5 No. 1 (2023)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.5.1.119

Abstract

The key change in the environment is the gases which emit into the atmosphere and majorly carbon emissions by urbanization with greatly reduced energy needs through efficiency gains such that the balance of energy needs can be supplied with renewable technologies. According to various estimates, carbon stock consumes 30 to 40% of all energy resources. As the result, it is possible to get carbon dioxide atmosphere emissions reduction due to energy consumption reduction. In this research, we had a sample of current generation low-energy consumption and carbon storage by different techniques and usage by renewable sources, progress towards CCUS Technology.The way the zero-energy co2 goal is defined affects the choices designers to make achieve for this goal and whether they can claim success. CCUS will also support the transition from Blue Hydrogen to Green Hydrogen by accelerating the demand growth and creating technologies and infrastructure for the production, storage and transportation of hydrogen. Conversion of co2 to usable chemicals and products will spur economic development and help achieve some of the SDGs like green aggregates, green ammonia and methanol and ultimately green energy. This study shows the design impacts of the definition used for CCUS and progressed goals towards CCUS goals.
Durability Performance Analysis of Mixture Asphalt Concrete - Base Course (AC-Base) Using Coal Fly Ash as A Filler Substitute Archenita, Dwina; Alkhairi, Wafiq; Rizki, Aditiya; -, Apwiddhal; -, Satwarnirat
International Journal of Advanced Science Computing and Engineering Vol. 5 No. 1 (2023)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.5.1.120

Abstract

Highways are land transportation infrastructure whose needs in Indonesia continue to increase, along with the increasing number of vehicle. The top Laston or base coarse (AC-Base) is a pavement foundation consisting of a mixture of asphalt aggregates with a certain ratio mixed and compacted in a hotmix. This coarse is at under binder coarse (AC-BC), not directly related to the weather, but it needs to have stability to withstand the traffic load spread through the vehicle wheels. Base coarse (AC-Base) serves to provide support the surface coarse, reduce strain and stress, spread and continue the load of road construction to the layer below (subgrade). Filler as one of the materials forming the AC-Base layer usually obtained from stone ash whose availability is increasingly difficult to feel in the field implementation. Therefore, a substitute material or substitute material is needed for the filler. One possible substitute material is fly ash. This research will analyze the performance of AC-Base coarse that make use of filler substitution material using fly ash with variation FA-0%, FA-5%, FA-7.5%, FA-10%, FA-12.5% and FA-15%. The samples made by Marshall Method will give the Optimum Asphalt Content (OAC) value on each mix variation. While the performance of this AC-Base mixture in increasing density, durability, and stability in the pavement mixture using the Marshall Immersion method (MI). The analysis result shows that the OAC value at 0% fly ash variation is 6,82%, at 5% fly ash variation is 6,87%, at 7.5% fly ash variation is 6,85%, at 10% fly ash variation is 6,84%, at 12.5% fly ash variation is 6,82%, and at 15% fly ash variation is 6.79%. While the performance of AC-Base mixture indicated by the MI value meets the specifications, and the MI value obtained tends to increase along with the increase in the percentage of fly ash. The mixture with 15% fly ash shows the better durability performance (99,75%) compared to other variations 0%, 5%, 7,5%, 10% and 12,5% (96,44%, 97,51%, 97,71%, 98,36% and 99,54%).
Effect of Modulation on Throughput of 4G LTE Network Frequency 1800 MHz Chandra, Dikky; Rahmat, Fauzi Aditia; Aulia, Siska; -, Firdaus; Kasmar, Andre Febrian
International Journal of Advanced Science Computing and Engineering Vol. 5 No. 1 (2023)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.5.1.121

Abstract

In the development of 4G LTE technology, network speed (Throughput) in several regions has increased or decreased. Network speed (Throughput) certainly cannot be separated from Modulation.  In modulation there are several kinds of modulation schemes, be it QPSK modulation, 16 QAM modulation, and 64 QAM modulation. The modulation scheme is instrumental in increasing throughput. Based on several previous studies, they only check the Throughput parameters without doing a more in-depth analysis of the modulation scheme which also plays a very important role in network speed (Throughput). For this reason, it is necessary to carry out an analysis related to the effect of modulation on the throughput value. To find out the effect of modulation on throughput, it is necessary to take data in the field, the method used is the Drive Test method. Based on the results of the Drive Test, QPSK modulation has a Throughput value of 5.247.4 Kbps, modulation of 16 QAM has a Throughput value of 27.293.9 Kbps and modulation of 64 QAM has a Throughput value of 65.275.1 Kbps. Based on the data in the field and in terms of calculations, the modulation that most affects the throughput value is the modulation of 64 QAM. Modulating 64 QAM having 64 symbols where each symbol consists of 6 bits will make the data rate at throughput higher. This also applies to the use of modulation of 16 QAM (16 symbols with 4 bits) and QPSK (4 symbols with 2 bits).
A Study on Optimizing an Effective Online Platform to Address Plastic Waste Management in Sri Lanka Weerasinghe, H. S. R. A.; Alwis, D. C. D.; Ginorajh, R.; Harischandra, G. D. S.
International Journal of Advanced Science Computing and Engineering Vol. 5 No. 1 (2023)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.5.1.126

Abstract

Plastic waste is a severe environmental problem with far-reaching effects on the environment, human health, and the economy. Therefore, sustainable methods for managing plastic waste are essential to protecting the environment and guaranteeing a cleaner, healthier future for the next generations. Unfortunately, Sri Lanka is currently grappling with a serious plastic waste management problem, with plastic waste volumes increasing rapidly over the years. However, the issue extends beyond environmental concerns, permeating social and economic spheres. Rapid urbanization, population growth, and low stakeholder awareness of the problem are some of the contributing factors. This requires introducing an effective and efficient system incorporating technology to improve solutions. The proliferation of technology has significantly impacted the global marketplace, resulting in an expanding customer and vendor base. This development has triggered a departure from traditional buying and selling methods, as digitalized platforms offer an efficient approach to securing ideal consumer products. Although countless online fashion platforms exist, many lack a commitment to environmental sustainability. This paper discusses a web-based application designed to accumulate PET (Plastic Polyethylene Terephthalate) bottles, recycle them, and convert them into clothing products. Web-based PET bottle collection is a new innovative feature that addresses this prominent environmental concern. The process generates various polyester threads by separating and reprocessing plastic waste, which is subsequently used to create desired clothes. The ultimate objective of the application is to establish an online clothing store that efficiently manages the plastic waste in Sri Lanka.
Deciphering the Visibility of Higher Education Institutions: A Statistical Analysis of Google Search Console Data Arief, Ikhwan
International Journal of Advanced Science Computing and Engineering Vol. 5 No. 1 (2023)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.5.1.131

Abstract

The research presented here delves into the connection between data from Google Search Console (GSC) and the Webometrics visibility score of a specific public university's web presence. The study scrutinized GSC parameters such as clicks, impressions, click-through-rate (CTR), and average position to assess their impact on the university's digital visibility. The results indicate that impressions and average position play a critical role in determining the Webometrics visibility score, underscoring the significance of search engine optimization for learning establishments. The research also pinpointed the most effective search queries that drive substantial visitor traffic to the university's website, underlining the need for precise content targeting to optimize search performance. In this study, a predictive model was developed using multiple linear regression analysis to accurately predict the Webometrics visibility score based on GSC metrics, suggesting that strategic efforts to enhance these parameters could boost a university's online prominence. Additionally, a theoretical model was proposed to clarify the dynamic relationship between impressions, positions, and clicks in shaping the overall web visibility. Although this study provides valuable insights, it is based on data from a single university, which calls for further investigation using more varied datasets. Ultimately, the study emphasizes the immense potential of leveraging GSC data to bolster a university's online footprint, suggesting that strategic enhancements of vital parameters can greatly improve a university's online visibility according to Webometrics. As the academic world becomes increasingly digital, implementing these findings to guide search engine optimization strategies is a crucial element of institutional administration.

Page 1 of 1 | Total Record : 9

 1 

Filter by Year

2023 2023


Reset
Filter By Issues
All Issue Vol. 7 No. 3 (2025) Vol. 7 No. 2 (2025) Vol. 7 No. 1 (2025) Vol. 6 No. 3 (2024) Vol. 6 No. 2 (2024) Vol. 6 No. 1 (2024) Vol. 5 No. 3 (2023) Vol. 5 No. 2 (2023) Vol. 5 No. 1 (2023) Vol. 4 No. 3 (2022) Vol. 4 No. 2 (2022) Vol. 4 No. 1 (2022) Vol. 3 No. 3 (2021) Vol. 3 No. 2 (2021) Vol. 3 No. 1 (2021) Vol. 2 No. 3 (2020) Vol. 2 No. 2 (2020) Vol. 2 No. 1 (2020) Vol. 1 No. 3 (2019) Vol. 1 No. 2 (2019) Vol. 1 No. 1 (2019) More Issue