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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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Design of an Android-Based Mobile Application for Nutritional Consultation and Status Monitoring Rizaldy, Al Haydar; Fachrie, Muhammad; Ikrimach
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 2 (2024): AUGUST 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i2.2701

Abstract

Access to and awareness of nutritional health services in Indonesia play a crucial role in preventing various diseases in children and adults. This study develops an Android-based application aimed at enhancing access to nutritional information and consultation services, as well as promoting effective nutritional management methods. The application was developed using the Waterfall methodology, encompassing stages of requirements analysis, design, implementation, testing, and maintenance, to ensure that the resulting application meets the specified requirements and provides optimal solutions for nutritional consultation and monitoring. The application is designed to meet the needs of users and nutrition experts through features such as registration, consultation, and a Body Mass Index (BMI) calculator. Developed using Android Studio, MySQL, and XAMPP, the application was tested on various Android devices and demonstrated stable and smooth performance. Ongoing maintenance is implemented to ensure continuous optimal functionality. The application also features the selection of nutrition experts according to user preferences and a BMI calculator that allows users to independently check their nutritional status. Compatible with Android Oreo and later versions, the application requires an internet connection to optimize all functionalities, including consultation services and content updates. This application is expected to improve accessibility and individual awareness of nutritional health services in Indonesia.
Optimization of Hospital Queue Management Using Priority Queue Algorithm and Reinforcement Learning for Emergency Service Prioritization Adhicandra, Iwan; Nurhidayati, Safitri; Fauzan, Tribowo Rachmat
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 2 (2024): AUGUST 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i2.2772

Abstract

This study aims to develop and implement an efficient hospital queue management system by integrating the Priority Queue algorithm with Reinforcement Learning (RL). The primary objective is to enhance the prioritization of emergency patients, ensuring that those with the most critical conditions receive timely care. The Priority Queue algorithm facilitates the sorting of patients based on the severity of their medical conditions, while RL enables the system to continuously learn and optimize the queue management process using historical data and real-time feedback. The research methodology includes data collection from hospital queues, algorithm model development, and simulated and real-world data validation. The results demonstrate that the combination of these algorithms significantly reduces waiting times for emergency patients and improves overall hospital operational efficiency. Additionally, implementing this algorithm has increased patient satisfaction due to shorter wait times and more timely services. The study concludes that the Priority Queue algorithm enhanced by RL is an effective solution for hospital queue management and recommends further research on larger scales and with more complex algorithms.
Product Demand Forecast Analysis Using Predictive Models and Time Series Forecasting Algorithms on the Temu Marketplace Platform Trisolvena, Muhammad Nana; Masruroh, Marwah; Ginting, Yanti Mayasari
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 2 (2024): AUGUST 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i2.2774

Abstract

In the rapidly evolving digital era, the ability to accurately forecast product demand is crucial for marketplace platforms like Temu. Demand uncertainty can lead to issues such as overstock or stockout, both of which negatively impact financial performance and customer satisfaction. This study evaluates the use of predictive models and time series forecasting algorithms to forecast product demand on the Temu platform and identifies the latest trends in 2024. Daily sales data were analyzed using various algorithms, including ARIMA, SARIMA, Facebook's Prophet, and LSTM. The analysis results indicate that the Prophet model and SARIMA algorithm provide more accurate predictions compared to ARIMA and LSTM. The proper implementation of predictive models is expected to enhance operational efficiency and support better strategic decision-making for Temu. By adopting the most suitable forecasting models, Temu can optimize inventory management, reduce costs, and improve responsiveness to market changes
Evaluation of Design Thinking in Logistics Management: A Case Study of the Double Diamond Method at PT Jamu Jago Semarang Hartana, Aditya Pramana; Retnowati
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 2 (2024): AUGUST 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i2.2778

Abstract

In the era of globalization and increasing competition, an efficient logistics management system is crucial to ensuring the smooth operation of a company. PT Jamu Jago Semarang, a leading herbal medicine company in Indonesia established in 1918, faces challenges in managing production data, which is still handled semi-manually. This process often leads to recording errors and inaccuracies in inventory information regarding commodities and raw materials. To address these issues, this study recommends the adoption of the Design Thinking approach and the Double Diamond method to enhance the company's competitiveness and operational efficiency. The design of the logistics management system, based on Design Thinking and the Double Diamond method, resulted in a website prototype developed through the stages of Discover, Define, Develop, and Deliver. This prototype was subsequently evaluated using the User Experience Questionnaire (UEQ), which yielded high scores in the aspects of attractiveness, clarity, efficiency, accuracy, stimulation, and novelty, indicating the design's success in meeting user needs effectively
Location-Based Application for Reporting Sexual Violence Wahyudi, Rian Tri; Wahyuni, Elyza Gustri
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 2 (2024): AUGUST 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i2.2814

Abstract

Sexual violence is a significant and increasing issue in Indonesia, with severe impacts on the physical health, psychological well-being, and overall welfare of victims. On campuses, these incidents often remain unreported due to factors such as shame, fear, and the absence of secure reporting mechanisms. Universitas Islam Indonesia (UII) has established a Task Force for the Prevention and Handling of Sexual Violence (PPKS) and implemented specific regulations to address these issues. This research aims to develop a location-based reporting application for sexual violence incidents within the UII campus. The Android application utilizes technologies such as Global Positioning System (GPS), Google Maps API, Geolocation API, and Firebase to enable real-time incident reporting. Users can report incidents by providing identification, location data, and video evidence, which supports investigations by the PPKS Task Force at UII. The results demonstrate that the application is effective as a reporting medium for sexual violence on campus. The integration of GPS, Google Maps API, and Geolocation API facilitates efficient geographic positioning, while Firebase is employed as a backend solution for secure and organized data storage and management, allowing rapid access by the PPKS Task Force. This application enables the PPKS Task Force to monitor and respond to reports promptly, enhancing the safety and confidence of victims. Therefore, the application is anticipated to become an essential tool in the prevention and management of sexual violence at UII.
Comparison of SAW and TOPSIS Methods in Decision Support Systems for Contraceptive Selection Susilo, Joko; Wahyuni, Elyza Gustri
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 2 (2024): AUGUST 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i2.2815

Abstract

Family Planning (FP) is a crucial initiative in enhancing the quality of life and health of mothers and children. However, selecting the appropriate contraceptive method remains a significant challenge for many couples of reproductive age. This study proposes the development of a web-based Decision Support System (DSS) that integrates the Simple Additive Weighting (SAW) method and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) at Zahra Harapan Bunda Clinic. The system aims to provide accurate recommendations for selecting contraceptive methods, record data, monitor users, and remind acceptors of consultation schedules. The results indicate that the SAW method is more consistent and aligns more closely with expert recommendations compared to TOPSIS, with a higher conformity percentage ranging from 66.25% to 92.5%. In contrast, TOPSIS showed a lower conformity percentage, ranging from 25.89% to 78.03%. These findings suggest that SAW more accurately reflects expert recommendations and is therefore considered more effective for selecting contraceptive methods. The study recommends the use of the SAW method for decision-making in contraceptive method selection and suggests further research to expand and validate this approach in a broader range of applications.
Developing Modern JavaScript Frameworks for Building Interactive Single-Page Applications Mokoginta, Deyidi; Putri, Desfita Eka; Wattimena, Fegie Yoanti
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 2 (2024): AUGUST 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i2.2831

Abstract

The rapid evolution of modern JavaScript frameworks has significantly enhanced the development of interactive and responsive Single-Page Applications (SPAs). This study compares three prominent JavaScript frameworks—Angular, React, and Vue.Js—focusing on their application in SPA development. The research methodology involves a literature review, a comparative analysis of the critical features of each framework, and a practical implementation to assess their performance, usability, and flexibility. The findings reveal that each framework exhibits distinct advantages and limitations that affect their suitability for different project requirements. Angular is characterized by its extensive built-in features and robust architecture, React by its high flexibility and superior performance, and Vue.js by its user-friendly approach and development efficiency. These results offer valuable insights for developers in selecting the most appropriate framework for their specific project needs, ultimately contributing to more efficient and effective web development.
Exploring the Fusion of Enterprise Architecture, Blockchain, and AI in Digital Governance: A Systematic Review Hakimi, Musawer; Zarinkhail, Mohammad Shuaib; Musawi, Sayed Zabihullah
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 2 (2024): AUGUST 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i2.2832

Abstract

The worldwide significance of the digital revolution in governance has grown recently, with governments using cutting-edge technology to enhance services, transparency, and citizen engagement. The research investigates the integration of blockchain technology, artificial intelligence (AI), and enterprise architecture (EA) into digital governance. Examining how these technologies may enhance government services' effectiveness, responsibility, and openness might contribute to a deeper understanding of them. Encompasses all literary works published between 2017 and 2024, including scholarly articles, conference papers, and reputable reports from repositories such as Google Scholars, IEEE Xplore, Scopus, Web of Science, and SpringerLink. This comprehensive analysis examines the functions of artificial intelligence (AI), blockchain technology, and enterprise architecture (EA) in electronic government (e-government) initiatives. An extensive dataset uncovers prevalent concerns, challenges, opportunities, and effects across several technologies. The research findings indicate that the EA framework significantly enhances interoperability and efficiency. Additionally, blockchain technology guarantees data integrity and transparency by using immutable records. Moreover, artificial intelligence enhances service delivery by automating procedures and improving decision-making skills. Nevertheless, the process of incorporating these technologies may need some help. These challenges include the compatibility between blockchain and existing systems, the need for skilled workers in AI, and reluctance to change inside organizations. Although there are some problems, it may provide advantages such as less duplication of tasks, enhanced traceability, and heightened public confidence. Integrating blockchain, artificial intelligence, and enterprise architecture presents unparalleled possibilities for revolutionizing digital governance. Future research should prioritize the scalability of these technologies, the establishment of new governance frameworks, and the ethical implications of artificial intelligence on public decision-making. Through the identification and resolution of acknowledged obstacles and the use of technological advantages, governments may construct governance systems that are more effective, open, and responsible. This study provides a basis for policymakers and experts to explore advanced digital governance solutions.
Designing an Automatic Room Temperature Control System for Smart Homes for the Elderly Using IoT Rihhadatulaisy, Zakiyatunnisrina H.; Irianto, Kurniawan D.
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 2 (2024): AUGUST 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i2.2844

Abstract

The elderly population in Southeast Asia currently represents 8% or approximately 142 million people, according to the World Health Organization (WHO). As individuals age, various factors require greater attention, such as physical and mental health, a healthy and regular diet, as well as safety and comfort in their living environment. Extreme room temperatures often cause discomfort among the elderly, potentially worsening their health conditions. This study proposes the design of an automatic room temperature control system for smart homes, specifically for elderly care, utilizing Internet of Things (IoT) technology. The system employs a DHT22 sensor, alongside fans and heaters, to maintain stable room temperatures. The methodology includes problem identification, system overview, requirements identification, system and device design, system testing, and evaluation. The system measures room temperature using the DHT22 sensor and automatically regulates the fans and heaters to ensure a comfortable environment for the elderly. Test results indicate that the system effectively maintains room temperature stability. Furthermore, the system can be controlled remotely via the Blynk application, providing ease of use for the elderly in managing the system from a distance. This system thus aids the elderly in consistently maintaining a comfortable room temperature tailored to their specific needs.
Grouping Production Goods Requirements Using the K-Means Clustering Method Setiawan, Dani Yuda Dwi; Hadikristanto, Wahyu; Edora
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 2 (2024): AUGUST 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i2.2863

Abstract

The inventory management of production goods presents several challenges, including difficulties in distinguishing between necessary and unnecessary items, leading to overstocking and manual data processing issues. Additionally, the risk of data loss can impede the data processing workflow. Data testing is conducted to evaluate the accuracy of calculations and the functionality of the applied methods. The objective is to optimize production results and inventory levels in warehouses. The K-means algorithm, known for its simplicity and effectiveness, is utilized to identify clusters within the data. The first cluster (C0) has centroids at (60.33, 70.33) and includes stock data categorized as having no potential. This cluster comprises 35 records. The second cluster (C1) has centroids at (10.94, 7.11) and includes stock data categorized as available, consisting of 15 records. Testing with the RapidMiner Studio application confirms similar insights, with each cluster containing members that are divided into two clusters, each having optimal centroid values of (60.33, 70.33) for Cluster 1 (C0) and (10.94, 7.14) for Cluster 2 (C1), and a Davies-Bouldin Index evaluation score of 0.666.

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