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Muhammad Wali
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muhammadwali@amikindonesia.ac.id
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ijsecs@lembagakita.org
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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 33 Documents
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Search results for , issue "Vol. 4 No. 1 (2024): APRIL 2024" : 33 Documents clear
E-Archive Academic Data at SMK Negeri 2 Sekayu Handayani, Fitri Kurnia; Megawaty
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 1 (2024): APRIL 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i1.1583

Abstract

Effective management of archival documents is vital in the educational sector as it plays a crucial role in decision-making and preserving historical records. Archives are a valuable resource that contains a wealth of information for any organization. However, the traditional method of physical document management at Sekayu 2 Negeri Vocational School has led to a significant accumulation of documents, making the process both ineffective and inefficient. This situation has created an urgent need for faster access to information. To address this issue, the school has developed an Electronic Archive for Academic Data that aims to streamline the archiving process, making it more efficient and effective. The primary objectives of this initiative are to facilitate faster retrieval of information and to reduce the physical storage space required for documents. The E-Archive for Academic Data at Sekayu 2 Negeri Vocational School was developed using the PHP programming language and the MySQL database. The introduction of this digital filing system is expected to significantly reduce the time needed to access archives and decrease the physical storage space required, thereby enhancing efficiency and effectiveness at SMK Negeri 2 Sekayu.
Integration of Geographic Information Systems and Spatial Data Analysis in Location Decision Making for Manufacturing Industries Nofirman; Ahmada, Naufal Haidar; Fauzan, Tribowo Rachmat
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 1 (2024): APRIL 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i1.2027

Abstract

-This research analyzes potential locations for the manufacturing industry studied using a GIS approach and data analysis. Researchers combine statistical and spatial analysis methods and unique techniques such as TOPSIS and MOORA to evaluate the most suitable locations based on predefined criteria. Key findings show that Purbalingga Regency is the optimal location, supported by high labor availability, developed logistics infrastructure, and supportive environmental regulations. Sumedang Regency also shows good potential, especially regarding vital market accessibility and strict environmental regulations. However, Bengkulu City faces challenges in several aspects, such as underdeveloped logistics infrastructure and suboptimal ecological regulations. The implications of these findings for manufacturing location decision-making practices, the advantages and disadvantages of GIS approaches and data analysis, and the research contributions to science and the manufacturing industry are also discussed in depth. Thus, this research provides valuable insights for decision-makers in allocating resources and planning investments in the manufacturing industry.
Logistics Efficiency in Product Distribution with Genetic Algorithms for Optimal Routes Trisolvena, Muhammad Nana; Wattimena, Fegie Yoanti; Untajana, Paulus Perey
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 1 (2024): APRIL 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i1.2045

Abstract

This research aims to optimize product distribution routes in logistics using computer simulation approaches and genetic algorithms. This research produces more efficient distribution routes by utilizing mathematical models that reflect actual distribution processes, including variables such as warehouse locations, distribution points, product types, customer demand, and vehicle availability. Genetic algorithms are used to design optimal solutions with implementation stages, which include solution representation, population initialization, fitness evaluation, selection, crossover, mutation, and stopping criteria. The visualization results show that the genetic algorithm can produce more structured and efficient distribution routes, reducing total travel distance, distribution costs, and delivery time. Statistical analysis supports significant improvements in distribution performance after implementing the genetic algorithm, with substantial reductions in total mileage, distribution costs, and delivery times and substantial improvements in customer satisfaction. Financial analysis shows significant cost savings and positive ROI from investing in genetic algorithms, while sensitivity analysis reveals the impact of critical factors on distribution costs. This research confirms the financial and operational benefits of applying genetic algorithms in product distribution optimization, with significant efficiency, cost savings, and customer satisfaction results.
Classification of Hoax News Using the Naïve Bayes Method Qubra, Rama; Saputra, Rizal Adi
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 1 (2024): APRIL 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i1.2068

Abstract

The rampant dissemination of false and unsourced information, commonly known as hoaxes, has become a pervasive issue in the era of internet media. In the digital age, the widespread dissemination of false and unverified information has emerged as a critical concern within the realm of internet media. Hoax news can be used to influence elections, sway public opinion, and create political instability. The rapid evolution of information technology has contributed to the uncontrollable proliferation of hoax content, necessitating the development of intelligent systems for effective classification. This research focuses on implementing a robust classification system for identifying hoax news circulating through internet media. The method used in this program is the Naive Bayes method, specifically Naive Bayes Multinomial, which works with the assumption that each feature (word) is considered independent from the others. Text vectorization using CountVectorizer converts text into a numeric vector, which can be used by classification algorithms. This program uses a trained model to make predictions on testing data and calculate evaluation metrics such as accuracy, confusion matrix, and classification reports. By leveraging these methodologies, the study aims to enhance the accuracy and efficiency of distinguishing genuine news from deceptive hoaxes. The highest accuracy value obtained in this research was 94.73% with a division of 20% test data and 80% training data. True Negative (TN): 4555, False Positive (FP): 178 and False Negative (FN): 295, True Positive (TP): 3952
Classification of Potential Tsunami Disaster Due to Earthquakes in Indonesia Based on Machine Learning Mardiani, Eri; Rahmansyah, Nur; Ningsih, Sari; Lantana, Dhieka Avrilia; Wulandana, Nabila Puspita; Lombu, Azzaleya Agashi; Budyarti, Sisca
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 1 (2024): APRIL 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i1.2084

Abstract

Earthquakes and tsunamis pose significant threats to Indonesia due to its unique geological positioning at the convergence of four tectonic plates. This study focuses on classifying the potential occurrence of tsunami disasters following earthquakes using various data mining methods, including k-Nearest Neighbor (kNN), Naïve Bayes, Decision Tree and Ensemble Method, and Linear Regression. The research employs a qualitative approach to systematically understand and describe the context of natural disasters, utilizing both primary and secondary data collection techniques. Performance evaluation metrics such as Area Under the Curve (AUC), Classification Accuracy (CA), F1 Score, Precision, and Recall are utilized to assess the effectiveness of each method in predicting potential tsunami events. The findings reveal that the kNN method exhibits the highest performance, with an AUC of 94.4% and a precision of 82.8%, indicating robust predictive capabilities. However, misclassifications were observed, emphasizing the need for further refinement. Naïve Bayes also shows promising results with an AUC of 84.5% and precision of 78.6%. Decision Tree and Ensemble Method models, such as Random Forest and AdaBoost, demonstrate reasonable performance, with Random Forest achieving the highest AUC of 71.9%. Linear Regression is employed to explore the correlation between earthquake attributes and tsunami occurrence, revealing a weak relationship. Further research integrating advanced modeling approaches and additional earthquake attributes is recommended to enhance the predictive capabilities of tsunami risk assessment models. The study underscores the importance of employing diverse machine learning techniques and evaluating their performance metrics to refine the accuracy of tsunami prediction models, ultimately contributing to practical disaster preparedness and mitigation strategies.
Application of The SD-WAN Load Balancing Method in Managing Internet Bandwidth at IDN Bogor Vocational School Iskandar, Dadang; Farisyihab, Joe Renaldy; Bahari, Muhamad Hasbi Toharudin; Nurfaishal, Muhammad Dzaky; Khairullah, Muhammad Daffa
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 1 (2024): APRIL 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i1.2100

Abstract

The rapid growth of SMK IDN since its establishment in 2016 has necessitated the addition of several branches. With the increasing number of branches, SMK IDN's administrative activities need to be centralized at SMK IDN Jonggol (Central), where the school leases and utilizes MPLS services to support interconnections between branches and the central office. However, there are considerations regarding using MPLS services as the number of SMK IDN branches continues to grow. Concerns from the SMK IDN IT team include issues related to the inflexibility of MPLS links, which can only be specifically used for interconnecting branches or private links that cannot simultaneously accommodate the internet needs of branches. In this situation, the SMK IDN IT team seeks an efficient solution that provides flexibility in interconnections from branches to the central office, with capabilities and stability equal to or better than before. In response to the challenges faced by SMK IDN, we propose the Load Balancing SDWAN solution, where SMK IDN only needs to use internet services available at the central office and branches. The Load Balancing SDWAN solution offers flexibility in terms of cost efficiency and link usage because links can simultaneously fulfill internet and interconnection needs for branches. In its implementation, the Load-balancing SDWAN method effectively addresses the challenges encountered by SMK IDN. Test results show that after implementing the Load Balancing SDWAN method, there is a significant improvement in internet access stability for users, with the ability to failover if there are issues with one internet link, as well as maintaining secure and private connections between the central office and branches. Another benefit of implementing the Load Balancing SDWAN method is budget efficiency, as SMK IDN can provide dedicated internet services per month at a 63% lower cost compared to renting MPLS links previously used
Comparative Study of Processing Student Learning Results Scores using Microsoft Excel with the RDM (Digital Madrasah Report Card) Website Haury, Ahmad Musyadad; Widodo, Suprih; Hikmawan, Rizki
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 1 (2024): APRIL 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i1.2108

Abstract

This research explores the comparison of Microsoft Excel and Madrasah Digital Report Cards (RDM) in processing student grades into report cards using qualitative methods. In evaluating the advantages and disadvantages of each platform, this research highlights practicality and affordability as important elements in selecting a value management tool. Microsoft Excel is known as a widely recognized tool, while RDM adds practicality through web-based accessibility. Data security is a key consideration, with RDM providing a higher level of protection compared to Excel's inherent security risks. Customization is a key factor, where Excel's high level of flexibility is balanced with a well-organized RDM template structure, which is in line with the needs of the madrasah curriculum. The integration factor is also a determining factor, as Excel requires greater technical effort while RDM is designed to facilitate integration within the madrasa education ecosystem. The choice between Excel and RDM is recommended depending on the specific priorities and needs of the madrasah. For those focused on flexibility and sustainability, Excel may be a more suitable choice. At the same time, RDM offers a more appropriate solution for those who prioritize accessibility, data security, and easy integration. Practical advice is given to madrasah educational institutions to consider the unique characteristics of their environment and the goals they wish to achieve. In-depth evaluation of security, affordability, customization, and integration guides platform selection to support the effectiveness and efficiency of processing student grades into report cards.
The Impact of Technological Advancements on Higher Education: A Study of Generation Alpha’s Educational Prospects Coolsaet, Dan
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 1 (2024): APRIL 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i1.2147

Abstract

The present-day environment is experiencing a rapid technological evolution that fundamentally shifts our understanding of knowledge into a more accessible and open entity. This transformative progression is redefining the practical application of competencies, concepts, and insights and exerting a profound impact on various facets of education. This paradigmatic transition, catalyzed by the pervasive influence of technology, is particularly pertinent in education, where its metamorphic contributions are conspicuously manifest. As the educational milieu continues to undergo metamorphosis, the future pedagogical and didactic methodologies will inevitably bear the indelible imprint of technological advancements. Concurrently, educators are confronted with the distinctive imperative of effectively engaging the emergent cohort of learners, commonly referred to as Generation Alpha, within the context of higher education. A pronounced entrepreneurial disposition characterizes Generation Alpha and is notably predisposed to embracing innovation and advancement, with a significant proportion of its members harboring aspirations of pursuing tertiary education. The present study undertakes a proactive stance in envisioning the educational dynamics and prospects that will define the forthcoming landscape of higher education, with a focal lens on the distinctive attributes of Generation Alpha. This entails a comprehensive inquiry into their favored pedagogical modalities, cognitive perspectives, and educational anticipations. The study embraces a robust theoretical framework anchored in the distinctive attributes of Generation Alpha, attributes invariably molded by the inexorable march of technological progress. In a complementary manner, the study derives insights from a triad of discrete empirical investigations conducted across diverse locales, including New Zealand, Iran, Iraq, and Jordan.
Implementation of Augmented Reality to Enhance Alphabet Letter Understanding at Paud Bintang Jonggol Lestari, Sri; Eldina, Ratih; Sumartha, Divaretta K.; Apipah, Nida
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 1 (2024): APRIL 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i1.2179

Abstract

Implementing Augmented Reality (AR) in Early Childhood Education (PAUD) promises children an interactive and immersive learning experience. In this study, we evaluate the potential of AR in improving the quality of early childhood education. AR can help PAUD educators create a more engaging learning environment where children can learn through games that support the development of motor skills and conceptual understanding. However, challenges such as access to technology, adequate teacher training, and appropriate curriculum planning need to be addressed. Policy support, comprehensive teacher training, and selecting the proper AR application are critical factors in implementing AR in PAUD. This technology has great potential to change how children learn and better prepare them for the future.
Arduino IoT Controller for Angle of Attack Measurement with Force Balance Pratama, Riza Arif; Ikhsan, Muhammad; Permana, Indra
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 1 (2024): APRIL 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i1.2190

Abstract

The force balance system uses the whitestone bridge concept to read the airfoil aerodynamic lift and drag forces while also having a function to control the airfoil angle of attack. It is designed for low subsonic wind tunnels, especially for educational purposes. The system uses Arduino as the microcontroller to read the force data from the load cell sensors and gives commands to the rotary motor stepper to change the airfoil angle of attack. Arduino is combined with a novel mechanical linkage system designed and studied to ensure the sensors can read the correct airfoil lift and drag forces. The angle of attack is controlled with a smartphone to decide the degree of airfoil. The reading of the system is validated using spring balance that pulls the system with magnitudes of 1,1.5, 2, 2.5, and 3 kg in some pulling force angle. The results show that the reading of the system is accurate compared to the theoretical results, with an average error of 2 %. The force measuring tool on the airfoil is the first step in a series of steps to produce the final project, namely the wind turbine. Research suggests that the load cell must be positioned correctly so that the sensor reading error can be increased again. The stepper motor must be turned off the bottom shaft to prevent the airfoil from rotating.

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