cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Dian Anggraini
Contact Email
dian.anggraini@upi.edu
Phone
+6285316735767
Journal Mail Official
seict@upi.edu
Editorial Address
Jl. Raya Cibiru KM 15, Cibiru Wetan, Bandung, Jawa Barat 40625
Location
Kota bandung,
Jawa barat
INDONESIA
Journal of Software Engineering, Information and Communication Technology
Published by Universitas Pendidikan Indonesia
ISSN : 27741656     EISSN : 27741699     DOI : https://doi.org/10.17509/seict
Core Subject : Science, Education, Engineering,
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering
The Journal of Software Engineering, Information and Communication Technology promotes research in the broad field of science and technology (including such disciplines as Agriculture, Environmental Science, etc.) with particular respect to Indonesia, but not limited to authorship or topical coverage within the region. Contributions are expected from senior researchers, project managers, research administrators and PhD students at advanced stages of their research, representing both public organizations and private industry. Equally, the journal if intended for scholars and students, reseachers working at research organizations and government agencies, and also for enterprises undertaking applied R&D to lead innovations. The editorial contents and elements that comprise the journal include: Theoretical articles Empirical studies Practice-oriented papers Case studies Review of papers, books, and resources. As far as the criteria for evaluating and accepting submissions is concerned, a rigorous review process will be used. Submitted papers will, prior to the formal review, be screened so as to ensure their suitability and adequacy to the journal. In addition, an initial quality control will be performed, so as to ensure matters such as language, style of references and others, comply with the journals style. Focus And Scope Software engineering Information technology Data Science AI/ML Cloud Computing, Big Data and Social Computing Image Processing Applied Informatics Database Technologies and Applications Digital Information Computation and Retrieval Information Security Human Computer Interaction Multimedia and Game Data Mining Ubiquitous Computing Business Intelligence and Knowledge Management Iot Software Engineering Education
Arjuna Subject : Ilmu Komputer (semua kategori) - Perangkat Lunak
Articles 60 Documents
 2   3   4   5   6 
Design and Development of An Educational Game for Organic and Inorganic Waste Segregation for Children Aged 5 to 9 Years Hairu, Syarif; Hidayati, Awanis; Harianto, Nurman
Journal of Software Engineering, Information and Communication Technology (SEICT) Vol 5, No 1: June 2024
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/seict.v5i1.71885

Abstract

Waste segregation is a crucial practice for maintaining environmental sustainability. Educating children about the importance of separating organic and inorganic waste from a young age can foster responsible behavior and environmental awareness. This study aims to design and develop an educational game tailored for children aged 5 to 9 years, focusing on teaching them the principles of waste segregation. The research employs a research and development (RD) approach, which includes stages such as needs analysis, game design, development, testing, and evaluation. The game integrates interactive elements, quizzes, and mini-games to engage children while delivering educational content about organic and inorganic waste. A rewards system is incorporated to motivate children to complete levels and reinforce learning.The study's sample consists of 50 children within the specified age range, selected using purposive sampling. Data collection techniques include literature studies, interviews with educators and environmental experts, questionnaires, and observations. Pre-test and post-test assessments are conducted to measure the effectiveness of the game in enhancing children's knowledge about waste segregation.
Image Extraction in OpenCV Using the Local Binary Pattern Method Hapsari, Nani Sarah; Fatman, Yenni; Sugiarto, Bambang
Journal of Software Engineering, Information and Communication Technology (SEICT) Vol 5, No 2: December 2024
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/seict.v5i2.76251

Abstract

This research aims to implement the Local Binary Pattern (LBP) method for image extraction in OpenCV software. This method separates the objects' characteristics in the image to be recognized accurately. The research process involves stages of device configuration, image data preprocessing, and implementation and evaluation of extraction results. The research results show that the LBP method produces images with various patterns, such as grayscale, the original LBP shape, and other variations. This study also discusses the application of edge detection, histogram, thresholding, and equalization for image processing. Implementation of this method opens up opportunities for further development in various areas, including object identification, video, and wood imagery.
Morphological Grayscale Pre-processing to SAR Images for Reducing Noise in Ship Detection Based on YOLOv8 Pratidina, Caturiani; Safira, Decia; Gelar, Trisna; Permana, Heru; Suprihanto, Suprihanto; Syakrani, Nurjannah; Fauzi, Cholid
Journal of Software Engineering, Information and Communication Technology (SEICT) Vol 5, No 2: December 2024
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/seict.v5i2.75970

Abstract

The development of a ship detection system using SAR pictures loaded with noise poses issues for pictures Intelligence (IMINT). The YOLOv8 model is utilized for ship identification. The preprocessing approaches entail employing a fusion of grayscale morphology techniques and image restoration using a harmonic mean filter and a bandpass. This technique is designed to assess the effect of noise reduction to enhance the accuracy of detecting objects in SAR images. The preprocessing technique is categorized into two methods: basic grayscale morphology (GM1-GM6) and a fusion of image restoration with grayscale morphology (GHB1-GHB6). The model's performance is assessed using mAP and IoU criteria. This research discovered that ship objects were not detected successfully in the presence of several types of noise. These failures were attributed to factors such as tiny ship size, low picture quality, and inadequate preprocessing techniques for noise handling. The findings indicate a substantial enhancement in ship detection, specifically in synthetic aperture radar (SAR) images affected by sidelobe noise. There were noticeable enhancements in the accuracy of images that underwent preprocessing using GHB5. GHB5 employs a combination of image restoration, closure, and erosion techniques.
Developing a Recipe Chatbot: Integrating Regular Expressions with the Tasty API for Enhanced Culinary Information Retrieval Atqiya, Firas; Suharsih, Ririn; Sholahuddin, Muhammad Rizqi
Journal of Software Engineering, Information and Communication Technology (SEICT) Vol 5, No 2: December 2024
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/seict.v5i2.76112

Abstract

This paper explores the development of a recipe chatbot that leverages regular expressions and the Tasty API to provide users with a seamless and intuitive culinary information retrieval experience. By combining the power of natural language processing techniques with a vast recipe database, the chatbot aims to enhance user interaction and provide accurate and relevant recipe recommendations and cooking instructions. The system employs regular expressions to interpret user queries, enabling flexible and natural language input. Integration with the Tasty API allows the chatbot to access a wide range of recipes and detailed information, including ingredients, instructions, and nutritional values. The chatbot's performance is evaluated based on its accuracy in understanding user requests and providing relevant information. This research highlights the potential of combining regular expressions and APIs in developing intelligent chatbots for specific domains, such as culinary arts.
Comparison Towards Different Methods of Software Debugging Tajimalela, Akwan Cakra; Suryahadi, Ramandha Putra; Alfadilla, Rizka; Syawanodya, Indira; Tawakal, Iqbal
Journal of Software Engineering, Information and Communication Technology (SEICT) Vol 5, No 2: December 2024
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/seict.v5i2.70590

Abstract

To ensure that software works as expected, debugging is essential. This article discusses several types of debugging, focusing on Visual Studio Code Debugger, print statement debugging, and static code analysis. Each method is demonstrated through a simple yet comprehensive program that determines whether a selected number is a prime number. We conclude that the Visual Studio Code Debugger offers powerful features but requires prior experience with Visual Studio Code. Print statement debugging is straightforward but can become cumbersome in more complex programs. Static code analysis, particularly with ESLint, does not directly uncover "bugs" in the traditional sense but evaluates code style, security, and good programming practices. Combining these three methods can yield optimal results in the debugging and inspection process, depending on the specific needs and context of the project.
The Impact of Applied Informatics and Digitalization of Traditional Arts Cahyaningrum, Yuniana; Prasetyo, Ilyas Adhi; Abdullah, Maesa
Journal of Software Engineering, Information and Communication Technology (SEICT) Vol 5, No 2: December 2024
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/seict.v5i2.76163

Abstract

This article examines the role of applied informatics in the digitization of traditional arts as an effort to bridge the gap between culture and technology. In the context of globalization and rapid technological advancement, traditional arts face challenges to remain relevant and preserved. Digitization offers innovative solutions that enable the documentation, modernization, and distribution of traditional artworks through various digital platforms. Through methods such as 3D modeling, Augmented Reality (AR), and Virtual Reality (VR), the digitization process not only preserves authenticity and cultural values, but also introduces new ways to appreciate and experience art. The study also highlights how applied informatics facilitates the accessibility of traditional artworks, both through virtual exhibitions and e-commerce platforms, which expands the audience reach and increases marketing opportunities for artists. In addition, the article emphasizes the importance of arts education and training that uses digital technology to teach techniques and cultural contexts to the younger generation. The results of the study show that the integration of technology in traditional arts not only contributes to cultural preservation but also creates opportunities for artistic innovation and deeper interaction with cultural heritage. Thus, this article is expected to provide insight for academics, artists, and practitioners in the field of applied informatics about the importance of collaboration between art and technology in preserving culture in the digital era.
Cluster Analysis Of Emotions In Quranic Translations Using K-Means Clustering Fiqri, Muhammad Faisal; Muhammad, Raditya; Ardimansyah, Mochamad Iqbal
Journal of Software Engineering, Information and Communication Technology (SEICT) Vol 5, No 2: December 2024
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/seict.v5i2.75942

Abstract

Al-Qur’an as the word of Allah is a comprehensive source of knowledge, covering spiritual, moral, social, and psychological aspects, including instructions on the recognition of emotions that have a significant impact on a person's emotional intelligence. This research aims to identify and categorize verses in Indonesian translation of the Quran that contain basic emotions such as anger, disgust, fear, happiness, sadness, and surprise. The process involves data preprocessing, verse search using Vector Space Model, and application of K-Means Clustering algorithm. As a result, the verses can be grouped into four main clusters. The characteristics of the clusters formed include, cluster 0 shows the grouping of verses containing the word “happy”, clusters 1 and 2 respectively show the word “fear”, and cluster 3 shows the word “sad”. The cluster evaluation results obtained using Silhouette Score is 0.442 and Calinski-Harabasz Index is 251.653, which indicates that there is a sign of cluster but there is still some overlap between clusters. In conclusion, this clustering makes an important contribution to the understanding of Quranic interpretation and opens up opportunities for further development in academic studies and religious learning.
Comparative Analysis of Artificial Neural Network (ANN) and Random Forest in House Price Prediction Retnowati, Yulia; Mafahim, Abid; Syawanodna, Indira
Journal of Software Engineering, Information and Communication Technology (SEICT) Vol 5, No 2: December 2024
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/seict.v5i2.75945

Abstract

With the advancement of information technology, the application of machine learning in the property industry, particularly for house price prediction, has become increasingly important. Technology plays a crucial role in speeding up and enhancing the accuracy of property buying and selling processes. Therefore, the role of machine learning technology can be utilized to meet the need for improving the accuracy of house price predictions in major cities of developing countries, such as Bandung. This research aims to analyze the effectiveness of the Artificial Neural Network and Random Forest algorithms in predicting house prices in Bandung. The data used includes house sales data in Bandung, covering land area, building area, number of bedrooms, number of bathrooms, number of parking spaces, and the subdistrict location. The analysis of the algorithms is conducted by comparing the performance testing results of both algorithms using performance metrics for regression models such as Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and R-Square (R2). Additionally, this research analyzes which data ratio among the training, validation, and test data yields the best results. The research findings indicate that the model with a data ratio of 60:20:20 produces the best performance for both algorithms. The Random Forest algorithm demonstrates superior performance with results of MAE: 0.0470; MSE: 0.0079; RMSE: 0.0888; and R2: 0.7085.
An Empirical Analysis of Code Smell in Eclipse Framework Ecosystem Kawuma, Simon; Mabberi, Enock; Sabiiti, David; Kabarungi, Moreen; Kalungi, Dickson; Nabaasa, Evarist
Journal of Software Engineering, Information and Communication Technology (SEICT) Vol 6, No 1: June 2025
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/seict.v6i1.76200

Abstract

Eclipse Framework developers claim that public APIs are supported whereas internal APIs are unsupported. However, there is no guarantee that these interfaces are well-tested because several code smells are reported by interface users. Applications that use code-smelly interfaces risk failing if the code-smell are not fixed.  Previous research revealed that not all code smells can be resolved and fixed within a short period. Thus, interface users have to fix the code smells themselves or abandon that particular interface. To avoid waiting indefinitely for solutions from interface developers or getting involved in code smell fixing, users should use code-smell-free interfaces. However, interface users may not be aware of the existence   of code smell-free interfaces in the Eclipse framework. In this research   study, we used SonarQube tool to carry out an empirical investigation on 28 major Eclipse releases to establish the existence of code-smell- free interfaces. We provide a data set of 218K and 321K code-smell-free public APIs and internal APIs classes respectively. Also, we discovered that on average, 36.1% and 57.2% of the total interfaces in a given Eclipse release are code smell-free public APIs and internal APIs respectively in all the studied Eclipse releases. Furthermore, we have discovered that the number of code smells linearly increases as the Eclipse framework evolves. The average number of code smell and technical Debt is 147K and 2,744 days in all the studied Eclipse releases.  Results from this study can be used by both interface providers and users as a starting point to know tested interfaces and also estimate efforts needed to fix code smells in Eclipse Frameworks.
Development of the “Sehat Tanpa Depresi” Explainer Animation as a Mental Health Education Media for Adolescents Permana, Fahmi Candra; Albari, Fardan Barkah; Sari, Intan Permata; Sylviani, Sisilia
Journal of Software Engineering, Information and Communication Technology (SEICT) Vol 6, No 1: June 2025
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/seict.v6i1.84722

Abstract

Going through a transitional time in their adolescence makes many Indonesians more susceptible to depression. When people do not realize how important mental health is, depression can grow in popularity. They can be a suitable way to explain what depression is. Many believe that using explainer animations helps share these messages interestingly and easily. This project plans to produce an explainer animation named “Sehat Tanpa Depresi” for teaching mental health to adolescents and to check how effective it is. Using the Design and Development (DD) approach with the N.J. Manson model, the research consisted of five parts: problem awareness, suggestions, product development, evaluation and conclusion. Experts tested and reviewed the developed media, finding it met 91.45% of the requirements, offered 91.11% proper media and was evaluated by 83.8% of users. According to these findings, the explainer animation works well and is suitable for teaching mental health to teenagers.

Page 6 of 6 | Total Record : 60

 2   3   4   5   6 

Filter by Year

2020 2025


Reset
Filter By Issues
All Issue Vol 6, No 1: June 2025 Vol 5, No 2: December 2024 Vol 5, No 1: June 2024 Vol 4, No 2: Desember 2023 Vol 4, No 1: June 2023 Vol 3, No 2: December 2022 Vol 3, No 1: June 2022 Vol 2, No 2: December 2021 Vol 2, No 1: June 2021 Vol 1, No 1: December 2020