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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 8 Documents
 1 
Search results for , issue "Vol. 6 No. 1 (2024)" : 8 Documents clear
The Design of Web Service-based Minimum Competency Assessment Application with the REST Method in Senior High Schools Setiawan, Muhammad Aji; Sibarani, Alexander J.P.
International Journal of Advanced Science Computing and Engineering Vol. 6 No. 1 (2024)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.6.1.150

Abstract

To monitor quality improvement and student learning outcomes, schools must adopt a Minimum Competency Assessment (MCA). The Minimal Competence Assessment consists of two sub-tests: literacy and numeracy. This is in accordance with the provisions of the Indonesian Ministry of Education, Culture, Research and Technology in order to improve the quality of learning and student learning outcomes. The existing test method has limits with school resources that cannot satisfy the quota of pupils who can utilize the program jointly. In addition, the existing system is incapable of displaying student grades because the evaluation is a cumulative score for the whole student body. Hence, the school constructed a web service-based application utilizing the Representational State Transfer approaches so that it could independently administer complete numeracy and literacy assessments to its pupils, allowing schools to track their students' numeracy and literacy improvement. The system is constructed utilizing two distinct platforms, namely web-based apps and mobile applications based on Android. Web-based application was developed for admin and teachers while mobile application was developed for students. The findings of this study's testing indicated that the web service application performed as predicted. According to the findings of the questionnaires given to evaluate the application's usability using the Nielsen technique, teachers were happy with the application's Learnability, Memorability, Efficiency, Errors, and Satisfaction. The majority of instructors are satisfied with the implementation of this Minimum Competence Application, according to the survey findings.
Current Trends in The Formation of Mathematical Terminology on An Online Platform Jumabek, Seypullaev; Tuwelbay, Kurbanbaev; Allabay, Arziev; Geldibayev, Begench
International Journal of Advanced Science Computing and Engineering Vol. 6 No. 1 (2024)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.6.1.188

Abstract

To monitor quality improvement and student learning outcomes, schools must adopt a Minimum Competency Assessment (MCA). The Minimal Competence Assessment consists of two sub-tests: literacy and numeracy. This is in accordance with the provisions of the Indonesian Ministry of Education, Culture, Research and Technology in order to improve the quality of learning and student learning outcomes. The existing test method has limits with school resources that cannot satisfy the quota of pupils who can utilize the program jointly. In addition, the existing system is incapable of displaying student grades because the evaluation is a cumulative score for the whole student body. Hence, the school constructed a web service-based application utilizing the Representational State Transfer approaches so that it could independently administer complete numeracy and literacy assessments to its pupils, allowing schools to track their students' numeracy and literacy improvement. The system is constructed utilizing two distinct platforms, namely web-based apps and mobile applications based on Android. Web-based application was developed for admin and teachers while mobile application was developed for students. The findings of this study's testing indicated that the web service application performed as predicted. According to the findings of the questionnaires given to evaluate the application's usability using the Nielsen technique, teachers were happy with the application's Learnability, Memorability, Efficiency, Errors, and Satisfaction. The majority of instructors are satisfied with the implementation of this Minimum Competence Application, according to the survey findings.
Classification of Population Data of Nagari Based on Economic Level Using The K-Nearest Neighbor Method Mardiah, Ainil; Defni, Defni; Lestari, Aster Happy; Junaldi, Junaldi; Ritmi, Titin
International Journal of Advanced Science Computing and Engineering Vol. 6 No. 1 (2024)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.6.1.191

Abstract

The process of collecting data and classifying the level of economic status of the residents of Nagari is currently manual, so the efficiency in data collection is less than ideal. As a result, the population of Nagari is not well controlled by government authorities due to the lack of detailed government supervision. Therefore, a classification application system is needed that can overcome these problems. In making a classification application system, it will be analyzed using the K-Nearest Neighbor method for grouping the economic level of the community, where data from each occupant of Nagari is used as criteria. It is hoped that this classification application can facilitate the grouping of the economic class of the population, so that the regent of village can make decisions on assistance from the system.
Genetic Algorithm based Secure Hybrid Routing Technique for IoT Framework Kumar , Rakesh
International Journal of Advanced Science Computing and Engineering Vol. 6 No. 1 (2024)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.6.1.194

Abstract

Internet is gaining new heights in today’s technological environment. Internet of things (IoT) is a new class of Internet-basedheterogeneous networked application systems that uses various types of sensors/detectors and devices for the exchange and collection of data. Due to their applications in situations such as building home automation, emergencies, crisis management, energy management, and healthcare, path optimization and message security becomes of topmost importance in IoT. An optimized routing scheme using intelligent mathematical techniques including Genetic Algorithms (GA) and Analytical Hierarchy Process (AHP), is proposed here and an optimized route can be encrypted using cryptographic techniques. From the simulation results, it has been found that the overall efficiency of the IoT system can be greatly improved with the proposed model. A comparison is also provided in the discussion section which demonstrates that hybrid algorithms developed for IoT systems perform much better than traditional routing algorithms.
Generating Accurate Human Face Sketches from Text Descriptions Sharma, Shorya
International Journal of Advanced Science Computing and Engineering Vol. 6 No. 1 (2024)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.6.1.195

Abstract

Drawing a face for a suspect just based on the descriptions of the eyewitnesses is a difficult task. There are some state-of-the-art methods in generating images from text, but there is only a little research in generating face images from text, and almost none in generating sketches from text. As a result, there is no dataset available to tackle this task.  We developed a text-to-sketch dataset derived from the CelebA dataset, which comprises 200,000 celebrity images, thereby facilitating the investigation of the novel task of generating police sketches from textual descriptions. Furthermore, we demonstrated that the application of AttnGAN for generating sketch images effectively captures the facial features described in the text. We identified the optimal configuration for AttnGAN and its variants through experiments involving various recurrent neural network types and embedding sizes. We provided commonly used metric values, such as the Inception score and Fréchet Inception Distance (FID), for the two-attention-based state-of-the-art model we achieved. However, we also identified areas for improvement in the model's application. Experiments conducted with a new dataset consisting of 200 sketch images from Beijing Normal University revealed that the model encounters challenges when handling longer sentences or unfamiliar terms within descriptions. This limitation in capturing features from such text contributes to a decrease in image diversity and realism, adversely impacting the overall performance of the model. For future improvements, consider exploring alternative models such as Stack-GAN, Conditional-GAN, DC-GAN, and Style-GAN, which are known for their capabilities in face image generation. Simplifying architecture while maintaining performance can also help deploy models on mobile devices for real-world use.
Identification of Ultraviolet (UV) Levels in the Caramelization Process of Sale Pisang Berlianti, Rahmi; Kurniadi, Dedi; Putri, Dian Permata; Alfitri, Nadia; Susanti, Roza; Mudia, Halim
International Journal of Advanced Science Computing and Engineering Vol. 6 No. 1 (2024)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.6.1.196

Abstract

Sale pisang is a typical Indonesian food made from dried bananas. Usually, this drying is done by drying directly in the sun. Drying bananas in the sun is not very effective because it takes a long time and is very dependent on weather conditions. After innovation was made by making a dryer, sale pisang was produced which had a hard texture and low moisture content that affected the caramelization process. Therefore, a dryer is needed that can replace the drying process under the sun. One of the contents of sunlight is ultraviolet light. Irradiation of ultraviolet light, especially UVC light, can help shrink the cell wall of bananas so that the evaporation of water during drying is small. This study aims to identify good UV levels for the caramelization process to produce the same sale pisang as drying under the sun using 5 different treatments, namely, without UV lighting, 15 minutes irradiation, 30 minutes irradiation, 1-hour irradiation, and 2 hours irradiation. Irradiation for 15 minutes produces a water content of 11%, irradiation for 30 minutes produces a water content of 12%, irradiation for 1 hour produces a water content of 18%, and Sale pisang with irradiation for 2 hours produces a water content of 20%. Based on the texture analysis produced by irradiation for 1 hour produces a texture that is almost the same as drying directly under the sun.
Design and Validation of Structural Causal Model: A Focus on SENSE-EGRA Datasets Ayem, Gabriel Terna; Nsang , Augustine Shey; Igoche, Bernard Igoche; Naankang, Garba
International Journal of Advanced Science Computing and Engineering Vol. 6 No. 1 (2024)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.6.1.200

Abstract

Designing and validating a causal model's correctness from a dataset whose background knowledge is obtained from a research process is not a common phenomenon. Studies have shown that in many critical areas, such as healthcare and education, researchers develop models from direct acyclic graphs without testing them. This phenomenon is worrisome and is bound to cast a dark shadow on the inference estimates that many arise from such models. In this study, we have designed a novel application-based SCM for the first time using the background knowledge gained from the American University of Nigeria (AUN), Yola, on the letter identification subtask of the Early Grade Reading Assessment (EGRA) program on the Strengthen Education in Northeast Nigeria (SENSE-EGRA) project dataset, which the USAID sponsored. We employed the conditional independence test (CIT) criteria for the model’s correctness validation testing, and the results show a near-perfect SCM.
Leveraging Social Media Networks' Impact on Technopreneurship Isa, Khairunesa; Palpanadan, Sarala Thulasi; Saparudin , Intan Farhana; Zainol, Nur Zainatul Nadra; Syahrudin
International Journal of Advanced Science Computing and Engineering Vol. 6 No. 1 (2024)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/ijasce.6.1.201

Abstract

Technology has become an integral part of society, substantially contributing to its many facets. With the advent of technology, media entrepreneurship in Malaysia has expanded significantly. The younger generation, specifically Generation Z, relies heavily on social media for communication, information inquiry, and online purchasing and selling. This change has had a significant impact on the Malaysian field of technopreneurship. Therefore, the purpose of this study is to examine the relationship between the factors that influence Generation Z's use of social media for business and their propensity to engage in technopreneurship. This quantitative study utilizes a questionnaire to gather demographic information, explore factors influencing Generation Z's use of social media for business purposes, and examine their motivations and aspirations for engaging in technopreneurship activities. 280 respondents from Generation Z technopreneurs were selected through random sampling. The software Statistical Package for the Social Sciences (SPSS) was used to perform a descriptive analysis of the obtained data. According to the study's findings, each factor has a significant relationship with the motivation to engage in technopreneurship. By adopting these strategies, the government can help new and aspiring entrepreneurs make better-informed choices and utilize technology effectively to expand their businesses. This can boost the digital economy and generate new jobs in the tech industry. Consequently, policymakers and stakeholders should consider the study's findings and take proactive steps to promote technopreneurship development in Malaysia.

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