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Muhammad Wali
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International Journal Software Engineering and Computer Science (IJSECS)
Published by Lembaga Komunitas Informasi Teknologi Aceh
ISSN : 27764869     EISSN : 27763242     DOI : https://doi.org/10.35870/ijsecs
Core Subject : Science,
Computer Science & IT
IJSECS is committed to bridge the theory and practice of information technology and computer science. From innovative ideas to specific algorithms and full system implementations, IJSECS publishes original, peer-reviewed, and high quality articles in the areas of information technology and computer science. IJSECS is a well-indexed scholarly journal and is indispensable reading and references for people working at the cutting edge of information technology and computer science applications..
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 387 Documents
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Financial Risk Management in Indonesian Banking: The Integrative Role of Data Analytics and Predictive Algorithms Rofi'i, Yulianto Umar
International Journal Software Engineering and Computer Science (IJSECS) Vol. 3 No. 3 (2023): DECEMBER 2023
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v3i3.1823

Abstract

This research delves into the realm of financial risk management within the Indonesian banking sector, with a focus on leveraging Data Analytics and Predictive Algorithms. Amidst the global financial market's complexities and the evolving nature of banking risks, this study aims to provide a comprehensive understanding of how advanced technological tools can enhance risk identification, evaluation, and management. Utilizing extensive datasets from the Indonesian Banking Statistics, Central Statistics Agency, and Bank Indonesia, the research explores the intricate relationship between various banking risks and macroeconomic factors. The study employs sophisticated predictive models to analyze data, focusing on credit and operational risks. The findings highlight the significant impact of macroeconomic variables on banking risks and the effectiveness of predictive models in risk assessment. The research contributes to the existing literature by offering a detailed analysis of the integration of machine learning and big data analytics in banking risk management. It also provides strategic insights for banks to adopt more dynamic, data-driven risk management strategies in the face of economic and industrial changes. The study underlines the importance of continuous innovation in technological applications to meet the evolving demands of the banking sector.
Implementation of The Citizen Services Information System RW 016 Kapuk West Jakarta City Hidayat, Farasya Syifa; Rusdi, Zyad; Perdana, Novario Jaya
International Journal Software Engineering and Computer Science (IJSECS) Vol. 3 No. 3 (2023): DECEMBER 2023
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v3i3.1824

Abstract

The advent of e-government in Indonesia, initiated by the Presidential Instruction in 2003, has paved the way for the digital transformation of governmental services at both national and regional levels. This research focuses on the utilization of this transformation by Rukun Warga (RW) 16, Kapuk Village, West Jakarta, demonstrating a shift towards digital-based administration in local governance. The study aims to facilitate more efficient and effective communication and information dissemination between the RW.16 administrative body and its residents. The deployment of the proposed application is expected to streamline public service processes by providing residents with comprehensive access to various public services information specific to RW.16. Furthermore, the application empowers residents to submit letters, express their aspirations, and report environmental issues directly to the RW.16 management, thereby enabling prompt resolution of these concerns. The application's development adhered to the System Development Life Cycle (SDLC) using the waterfall methodology, ensuring a structured and sequential approach. The backend database is built on MySQL, while the front-end interfaces are developed using HTML and PHP, supported by the Laravel framework. This study highlights the potential of e-government initiatives in enhancing public service delivery and community engagement.
A Comparison of Product Weight Method and Simple Addition Weight Method in Employee Selection System Alwani, Adie G.; Avianto, Donny
International Journal Software Engineering and Computer Science (IJSECS) Vol. 3 No. 3 (2023): DECEMBER 2023
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v3i3.1826

Abstract

Tegar Mandiri Steam Ironing Service is a business operating in the steam ironing service industry, located in the Boyolali area, specifically in Dlingo Village, Mojosongo Subdistrict, Boyolali Regency, Central Java. "Tegar Mandiri" still employs conventional methods in the selection and recruitment of employees without leveraging technology. Although the implementation of conventional employee recruitment has been smooth, several issues have arisen. For instance, prospective applicants must visit in person to find out about job vacancies. Furthermore, the registration process for potential employees is still manually executed, requiring individuals to physically visit the site. Consequently, the administrative staff must record each applicant's details individually, leading to an ineffective data collection process and vulnerability to data loss or damage in physical records. The implementation phase was conducted through coding in PHP, adopting the Simple Additive Weighting (SAW) and Weight Product (WP) methods. Although both methods exhibit minor differences in their comparison, the results tend to favor the SAW method. The accuracy level of the SAW method reaches 96% as it has advantages over the WP method in terms of data normalization. The SAW method can address issues related to scale and unit differences among various criteria. Therefore, the SAW method is more accurate and dominant in determining the priority of employee recruitment
The Application of Convolutional Neural Networks in Floristic Recognition Legito; Nuraini, Rini; Judijanto, Loso; Lubis, Ahmadi Irmansyah
International Journal Software Engineering and Computer Science (IJSECS) Vol. 3 No. 3 (2023): DECEMBER 2023
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v3i3.1827

Abstract

In the dynamic field of computer vision, this research explores the application of Convolutional Neural Networks (CNNs) for the complex task of floristic recognition, a critical aspect of botanical and ecological studies. Addressing the challenges posed by the vast diversity and subtle morphological differences among plants, our study leverages CNNs for an efficient and accurate plant identification method. Distinguished by a comprehensive dataset encompassing a wide range of plant species and employing a state-of-the-art CNN model, our research significantly advances the methodology of flower recognition. This paper highlights the CNN model's sophisticated feature extraction and image analysis capabilities, demonstrating its superior performance in classifying a diverse range of flora compared to traditional methods and other machine learning techniques like Support Vector Machines (SVM) and decision trees. Our approach emphasizes practical applications in areas such as agriculture, ecology, and conservation, and offers a powerful tool for rapid and efficient plant identification, crucial in biodiversity studies. The research contributes to the fields of botany, ecology, and environmental conservation, underscoring the transformative potential of CNNs in floristic recognition. It also outlines the future direction for enhancing the model's efficiency, including developing more computationally efficient architectures and expanding training datasets.
Web-Based System Inventory at PT Sapta Tunas Teknologi Saputra, Nicholas; Mulyawan, Bagus
International Journal Software Engineering and Computer Science (IJSECS) Vol. 3 No. 3 (2023): DECEMBER 2023
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v3i3.1831

Abstract

An Information System is a complex framework comprising multiple components that interact harmoniously to gather, store, process, produce, and disseminate valuable information, thereby facilitating and enhancing the operational efficiency of a company's business processes. For technology-driven enterprises like PT Sapta Tunas Teknologi, the implementation of an efficient and integrated inventory information system serves as a pivotal asset. Currently, PT Sapta Tunas Teknologi faces challenges in asset management, including difficulties in stock monitoring, scheduling demonstrations, and maintaining the status of demo devices such as servers, storage units, and switches. The management of demo devices has been predominantly reliant on Google Spreadsheets distributed via the WhatsApp application. This research endeavors to design and deploy a web-based inventory information system, with the primary objective of augmenting the effectiveness of demo device management at PT Sapta Tunas Teknologi. The system's design adheres to the System Development Life Cycle (SDLC) Waterfall methodology, employing a blend of programming languages such as HTML, PHP, Javascript, and the Laravel Framework, while the user interface is enriched by the Bootstrap Framework. The underlying data management system is facilitated by a MySQL database, ensuring robust and efficient data handling.
Analysis of E-Commerce Purchase Patterns Using Big Data: An Integrative Approach to Understanding Consumer Behavior Caroline; Yuswardi; Rofi'i, Yulianto Umar
International Journal Software Engineering and Computer Science (IJSECS) Vol. 3 No. 3 (2023): DECEMBER 2023
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v3i3.1840

Abstract

This research undertakes a meticulous examination of the Indonesian e-commerce industry, aiming to unravel the intricate patterns governing consumer behavior within this rapidly evolving digital landscape. Employing an extensive dataset and cutting-edge data analysis methodologies, this study discerns pivotal trends that have engendered transformative shifts in Indonesia's e-commerce sector. A conspicuous trend uncovered is the escalating reliance on instant messaging platforms and social media conduits for e-commerce transactions. This pronounced transition underscores the remarkable adaptability of businesses to the digital milieu, thereby accentuating the significance of a digitally oriented business paradigm. Furthermore, this research brings to light the prevailing predilection among non-formal e-commerce enterprises, whose revenues predominantly dwell below the IDR 300 million threshold. Notably, the Cash on Delivery (COD) method remains the preeminent payment mechanism. These observations illuminate the structural underpinnings of the market and consumer payment proclivities, thereby exerting a discernible influence on pricing strategies and payment processing mechanisms adopted by enterprises. Moreover, the study delves into the transformative effects of the COVID-19 pandemic, which have expedited the digital metamorphosis of both consumers and e-commerce enterprises. This acceleration has ushered in a new epoch characterized by novel opportunities and concomitant challenges within the e-commerce domain. In summation, this research furnishes a multidimensional and academically rigorous perspective on the Indonesian e-commerce landscape, furnishing actionable insights indispensable for businesses and policymakers alike. The comprehension of these evolving trends is indispensable for strategic formulation and policy calibration, enabling adept navigation of the dynamic e-commerce milieu.
Solar System Education Application Using Markerless Augmented Reality (AR) on The Android Platform Harchristanto, Bagas Afrian; Utami, Wahyu Sri
International Journal Software Engineering and Computer Science (IJSECS) Vol. 3 No. 3 (2023): DECEMBER 2023
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v3i3.1844

Abstract

The solar system, a small component of the vast universe, encompasses celestial bodies including the Sun, its planets - Mercury, Venus, Earth, Mars, Jupiter, Saturn, Uranus, and Neptune - along with 165 identified satellites. Many students find solar system studies engaging, as it enables understanding of the myriad celestial objects beyond our planet. Traditional learning methods, often limited to explanations and exercises by instructors, require students to be attentive and diligent in reading to master the subject. However, this can sometimes lead to monotony and disinterest. Previous research indicates that the use of educational media is a key factor in successful learning activities. Technology-based education systems make learning more dynamic and interesting by incorporating images, text, sound, and video. Augmented Reality (AR), which merges real objects with virtual elements in an interactive environment, allows virtual technology to appear seamlessly in the real world. This creates an illusion of virtual objects being present in front of the user, enhancing realism. Recent studies have resulted in the development of an AR application for learning and understanding the Milky Way galaxy's solar system. This application addresses the lack of comprehension in primary school students who traditionally use globes and pictures for solar system education. It operates without the internet, modernizing learning and capturing students' interest through its Android application format. The application functions optimally on Android devices with a minimum of 3GB RAM, performing more efficiently on devices exceeding these specifications.
Selection of High School Majors using a Decision Support System for Students at SMPN 210 Jakarta Using the Profile Matching Method Julisawati, Elly Agustina; Hurnaningsih; Mardiyati, Sri
International Journal Software Engineering and Computer Science (IJSECS) Vol. 3 No. 3 (2023): DECEMBER 2023
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v3i3.1847

Abstract

The selection of a high school major is a pivotal decision that profoundly impacts a student's prospects. This research endeavors to enhance this decision-making process by introducing a Decision Support System (DSS) employing the Profile Matching Method at SMPN 210 Jakarta. The Profile Matching Method is meticulously crafted to offer personalized major recommendations based on students' interests, skills, and aspirations. Employing a quantitative approach, the study scrutinizes student data alongside major prerequisites to formulate a streamlined DSS. The research findings underscore that the application of the Profile Matching Method within a DSS empowers students to make well-informed decisions, streamlines the major selection process, and optimizes the utilization of educational resources within SMPN 210 Jakarta. This implementation holds the potential to foster positive transformations in high school major selections and fortify educational advancements at SMPN 210 Jakarta.
Comparative Analysis of PHP Frameworks for Development of Academic Information System Using Load and Stress Testing Niarman, Abdurrahman; Iswandi; Candri, Argi Kartika
International Journal Software Engineering and Computer Science (IJSECS) Vol. 3 No. 3 (2023): DECEMBER 2023
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v3i3.1850

Abstract

There are many programming languages available for the developers to pick when they want to make a web services project such as Java JSP, Python, ASP.Net, PHP and many others. The reason that writer chose PHP as its research topic is that PHP is still being one of the most promising languages especially for developing web services. Several PHP Frameworks are now available on the internet promising that their framework can do better than others. Some popular PHP frameworks are Laravel, Symfony, CakePHP, Yii, and CodeIgniter. Performance is the most aspect to be concerned because of the market’s demands entailing them to do so. The next concern that developer would likely need to decide is whether to go with Pure PHP or to go with PHP Framework. To answer those concerns, this research has been conducted in which a module is taken from an academic information system and will be developed into three similar and equivalent web applications by using Laravel, CodeIgniter, and Pure PHP. The author's aim in conducting this research is to obtain more in-depth information regarding the use of the pure PHP programming language and several frameworks such as CodeIgniter and Laravel. There are many statements stating that using the PHP programming language is no longer feasible, even though in reality using PHP for developing web-based applications is still the choice of many programmers based on statistics from w3tech. The results of research conducted by the author show that the PHP programming language is still very reliable in handling load and stress tests. The pure PHP programming language provides slightly better performance results than the CodeIgniter and Laravel frameworks. Hence, the use of pure PHP or frameworks can be determined from the level of needs of the application development to be created.
Enhancing Online Learning Experiences through Personalization Utilizing Recommendation Algorithms Caroline; Oroh, Oliviane; Pada, Damir
International Journal Software Engineering and Computer Science (IJSECS) Vol. 3 No. 3 (2023): DECEMBER 2023
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v3i3.1852

Abstract

This research investigates the implementation and impact of personalized learning systems underpinned by advanced recommendation algorithms in the realm of online education. The study encompasses a diverse group of participants from various educational backgrounds and explores their interactions with the personalized learning platform. The key findings of this research are noteworthy. Participants who had access to the personalized learning environment exhibited a substantial increase in engagement, satisfaction, and learning outcomes compared to those in the control group. This signifies the transformative potential of personalized learning in online education. The research emphasizes the critical role of personalization in enhancing learner engagement and satisfaction. It highlights how learners actively engaged with the system, making use of personalized recommendations to tailor their learning experiences. Moreover, the study sheds light on the positive impact of personalization on learning outcomes, indicating that learners achieved higher academic performance when their learning experiences were customized to their needs and preferences. In addition to its benefits for learners, the research underscores the advantages of personalized learning for instructors. The system provided instructors with valuable insights into each learner's progress and challenges, enabling more targeted and effective support. While the study demonstrates the effectiveness of personalized learning, it acknowledges certain limitations, including a relatively limited sample size and short duration. Future research endeavors could involve larger and more diverse samples and extend the study duration to gain a more comprehensive understanding of the long-term effects of personalized learning. In conclusion, this research contributes to the growing body of literature on personalized learning in online education. It provides compelling evidence that personalized learning, facilitated by sophisticated recommendation algorithms, can significantly enhance the online learning experience. The findings offer insights for educators and institutions looking to integrate personalized learning features into their online platforms to improve learner engagement, satisfaction, and learning outcomes.

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