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Alde Alanda
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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 149 Documents
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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.
Coping Capacity Model on Landslide Response Using OLR Apriani, Ani; Putra, Bayurohman Pangacella; Fahrurrozi, Muhammad Ikrom; Hentihu, Shintia Pratiwi
International Journal of Advanced Science Computing and Engineering Vol. 5 No. 2 (2023)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.5.2.108

Abstract

The community's unpreparedness for landslides that often occur suddenly has a big impact. This is due to community's ignorance of the symptoms and preventive measures. The improvement coping capacity in landslide-prone areas is important to mitigate the disaster. It is important to know the Coping Capacity in order to give recommendation in improvement of community’s ability on landslide disaster. Thus, this study aims to construct the model coping capacity using Ordinal Logistic Regression (OLR).  The model is conducted using OLS by look at the influence of mitigation knowledge, action plans and local wisdom on general knowledge about risks and efforts to save from disasters. The primary data is taken from  Sidoharjo, Yogyakarta where  86,17 %  in high potential landslide to the total area is 1113,99 Ha. The results are two model logistic of the coping capacity. The first result is the risks disaster model logistic with chi-square deviance value is 74.085 and sign level is 0.99. The second is the effort to save from the disaster model logistic with with chi-square deviance value is 70.492 and sign level is 0.901.  It can be said that the model is well to be used to modelled the coping capacity in Sidoharjo which the most influential on risks and efforts to save from disasters are mitigation knowledge and action plans, respectively. 
Automatic Water Level and Pressure Control System Prototype Design Using Programmable Logic Controller and Human Machine Interface Hajar, Ibnu; Damiri, Dhami Johar; Sitorus, Meyharth Torsna Bangkit
International Journal of Advanced Science Computing and Engineering Vol. 5 No. 2 (2023)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.5.2.127

Abstract

Water level control and pressure control are implemented in many at several industrial processing such as water dam, petrochemical processing plant, pharmacy and food processing plant, overhead tank, waste processing plant, electricity plant, etc. This study analyses a simulation and a needed components for automatically water level control system implementation using programmable logic controller (PLC). The water level control using PLC is designed to control the water level and prevent waste the water from a water tank. PLC is one of devices of automated controller which mostly used. Use of PLCs in industries are indispensable to control parameters which required high precision. In this research studies water level control system using PLC as primary controller and human machine interface (HMI) as remote controller that could visualize state of a system work (plant) in real time on computer screen and could gather field data as well. Main device for this research is Omron PLC CP2E type and touchscreen HMI Omron. At the prototype is used a water tank and a water container (to be one with the water resource), and in the HMI is showed the pages of home, control panel, and plant. From the result of the diagram ladder and the HMI design are got the system run well. The application from this research could be learning media in the system control laboratory for the subject of industrial control system and the others, related to it.
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.
Load Balancing and Fail Over MikroTik Implementation Using Per Connection Classifier (PCC) on Two Internet Providers Interconnection Wiharti, Wiwik; Rimra, Ihsan Lumasa; Rifka, Silfia; Hidayatullah, Ikhram; Kasmar, Andre Febrian
International Journal of Advanced Science Computing and Engineering Vol. 5 No. 2 (2023)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.5.2.135

Abstract

Load balancing is tasked with dividing and balancing the traffic load on two or more ISPs in a balanced way so that the output obtained when using this technique is to maximize throughput, minimize response time and avoid overload on one ISP line when one of the ISPs experiences a disconnection. This can be seen from the automatic connection switching to an active ISP gateway, so that network performance continues to run normally. Throughput testing in the morning, afternoon, and evening showed very good value changes after load balancing was applied. Delay and Packet Loss tests also show a change in value from bad to very good after the implementation of the Load balancing system. The results of this study indicate that in measuring network performance for conditions of delay, packet loss, jitter and throughput before and after system implementation using load balancing and failover with the Per Connection Classifier (PCC) method, different results were found
Fiber to The Home (FTTH) Network Design with Addition of Optical Distribution Point (ODP) Using the Branching Method Asril, Aprinal Adila; Maria, Popi; Lifwarda, -; Antonisfia, Yul; Hadi, Ronal
International Journal of Advanced Science Computing and Engineering Vol. 5 No. 2 (2023)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.5.2.136

Abstract

Optical fiber is a transmission medium that uses light as a signal conductor. In order for optical fibers to be used and the benefits are felt, a network architecture is needed, namely FTTH. FTTH consists of active devices such as OLT and ONT as well as passive devices consisting of ODC, Closure, and ODP. In this design, it uses OLS as a light signal transmitter and produces input power. However, over time and the increase in population capacity and the number of access services available, of course, there are more and more requests for the installation of optical networks in customers' homes. Therefore, the most available FTTH device is ODP in order to be able to withdraw cables to customers' homes and continue to expand FTTH. Therefore, this study will discuss the addition of new ODP with the branching method. Using OPM as a measuring tool and calculating the power link budget to find out that the resulting attenuation value is no more than 28dB.
Analysis of Eye Disease Classification by Comparison of the Random Forest Method and K-Nearest Neighbor Method Meidelfi, Dwiny; Hendrick; Sukma, Fanni; Kharisma, Srintika Yunni
International Journal of Advanced Science Computing and Engineering Vol. 5 No. 2 (2023)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.5.2.151

Abstract

Eye disease is a serious issue all over the world, and image-based classification systems play an important role in the early detection and management of eye disease. This research compares the performance between Random Forest (RF) and K-Nearest Neighbor (KNN) classification models in identifying eye disorders using image datasets divided into four classes: "normal," "glaucoma," "cataract," and "diabetic retinopathy."   The dataset is converted into a feature vector and then divided into training data and test data subsets. The analysis results show that the RF model achieved an accuracy level of 80%, whereas the KNN model achieved 70%. Based on these findings, it is possible to conclude that the RF model outperforms the other models in categorizing the types of eye illnesses in the dataset. A Python-based website was also built utilizing the Flask framework to build an interactive and real-time eye illness diagnosis system. Users can upload photos of their retinas to this website and quickly receive eye disease detection results. The adoption of this technology has a tremendous impact, making eye disease detection solutions more accessible. Furthermore, this solution plays an important role in the early detection and effective management of eye health cases.
Systematic Literature Review: Digitalization of Rural Tourism Towards Sustainable Tourism Rasyidah; Erianda, Aldo; Alanda, Alde; Hidayat, Rahmat
International Journal of Advanced Science Computing and Engineering Vol. 5 No. 3 (2023)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.5.3.134

Abstract

In the context of rural tourism, the internet is crucial. It is vital to create and implement new technology in order to assist digital tourism in tourist communities and undeveloped, frontier, and remote locations.  The utilization of big data can enhance the precision of predicting tourist flows, providing valuable insights to assist and enhance destination management, planning, and advertising. It can also ease mobility and encourage visitors to be distributed according to time. In addition to supporting visitors with specific access needs and keeping management informed about visitor behavior, artificial intelligence (AI) and automation can also be very helpful in the tourist industry by enabling those with limited mobility to travel the world. In this sense, as the sharing and gig economies grow along with technology, we have more options in our everyday lives—as long as they are properly set up and maintained. Therefore, this paper aims to study the research on internet criteria based on AlUla framework to achieve sustainable tourism in rural areas and to identify the key journals, articles and authors. The findings in this research are that there has been an increase in the number of journals post COVID19, where the country that produces the most journals is China and the author that is most cited is Pesonen JA. To achieve the goal of sustainable digital rural tourism, infrastructure is needed in the form of internet penetration, internet speed and usability, and internet security level.
Physical Tunning Influence on 4G Network in Minangkabau International Airport Yuhanef, Afrizal; Chandra, Dikky; Mursydan, Arif; Zurnawita; Yusnita, Sri
International Journal of Advanced Science Computing and Engineering Vol. 5 No. 2 (2023)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.5.2.141

Abstract

The growth of cellular telephone subscribers experienced a significant increase compared to other industries. With large and widespread number of subscribers, many operators have established new Base Transceiver Stations (BTS) to keep up with the increase number of subscribers. However, the addition of BTS is not a total solution to offset the increase number of subscribers. The purpose of this study is to analyze the signal quality, coverage area and network repairs by using physical tuning method. In Telkomsel operator drive test data in Minangkabau International Airport area, the RSRP parameter obtained an average sample data area around the site in the range -110 to 0, with a red indicator of 3.35%, an orange indicator of 18.96% and a yellow indicator amounted 36.3%. In this way, this research optimizes physical tuning method, including Re-azimuth which successfully directs the antenna to the badspot area, then changes the height of the antenna which makes it covered farther and tilting the Antenna which succeeds in making the coverage area more optimal. For the next bad spot area, optimization should be done in real time in the field so that the improvement can be resolved properly.

Page 9 of 15 | Total Record : 149

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