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Dian Anggraini
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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
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Unlocking IT Excellence: A Deep Dive into Design Factors for Successful IT Implementation with COBIT Muda Dwi Nugraha, Faaris; Zikri Nugroho, Fathoni; Fadhli Taqdirul Jabbar, Muhammad
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.v5i1.66275

Abstract

COBIT 2019 formulates 11 design factors that must be considered in designing IT governance. One of these design factors is IT Implementation Methods, which refers to the methods used by organizations to implement IT. This article aims to discuss the importance of IT implementation methods in IT governance, various types of IT implementation methods that organizations can choose from, and factors to consider in selecting the appropriate IT implementation method. The article employs a qualitative approach with literature review as the method of data collection. The results of the analysis indicate that the chosen IT implementation method can influence various aspects of IT governance, such as alignment with business strategy, risk management, resource availability, and organizational leadership commitment. The article recommends that organizations carefully consider these factors when selecting an IT implementation method that aligns with their needs and environment.
Prediction of Mobile Phone Ratings with SVM Regression Model Ramdhani, Arya Dwi; Budi, Fahri Admana; Dimulya, Rizky
Journal of Software Engineering, Information and Communication Technology (SEICT) Vol 4, No 2: Desember 2023
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/seict.v4i2.64392

Abstract

Mobile is a communication tool that has capabilities such as computers that are easy to carry anywhere with various functions for human life. Mobile phones certainly have quite interesting trends, such as the emergence of models, types, and brands which of course vary. The purpose of this study was to determine the prediction of mobile phone ratings based on various criteria using the SVM method. These criteria include price, camera, internal memory, storage, color and so on. From the SVM model, the regression type gets predictive results, where there are values that are adjusted to the model. Although the accuracy is not good, in the prediction process the difference is not too far, but slightly different. The more you add related features, the the training accuracy will be better.
Development of 3D Learning Media Applications on Materials Food Chain Using Augmented Technology Reality Sabrila, Safa; Raharjo, Kalis Rahmawati; Sa’ada, Putri Maulida Fatihatus; Triastuti, Ayu Siwi; Khotimah, Nuringsih Khusnul
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.v5i1.72949

Abstract

Augmented Reality is a technology that is currently being developed which can combine the virtual world with the real world. With the existence of Augmented Reality (AR) it can function to help the perception and interaction of its users with the real world. In the world of education not many have used Augmented Reality technology and many still use books as learning media. So that the material obtained by students is only in the form of text and 2D images. Therefore, researchers took the initiative to design a learning media in the form of a Food Chain learning application that displays 3D material and living things. It aims to be an interactive and interesting food chain learning tool for grade 5 elementary school students packaged in an Android-based application. This application was created and developed using the Unity 2021.3.12f1 software. The methodology used in developing this application uses the method developed by Luther, which is a multimedia software development method based on six stages, namely Concept, Design, Material Collecting, Assembly, Testing (Testing), and Distribution (Distribution). The results of developing this application can make it easier for teachers to convey material about the food chain.
Comparison of Machine Learning Algorithms in the Role of Hepatitis Patient Disease Classification Fernando, Daud; Huwaidi, Faris; Ananto, Muhammad Hafidz; Pramadya, Sahrial
Journal of Software Engineering, Information and Communication Technology (SEICT) Vol 4, No 2: Desember 2023
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/seict.v4i2.64393

Abstract

Hepatitis is one of the diseases with the highest patient percentage. about a third of the world population are afflicted with hepatitis. In several cases, patients show symptoms while in the other cases, patients show no symptoms. hepatitis is commonly caused by hepatitis A, B, C, D or E virus and yellow fever virus (YFV). hepatitis can be detected through blood test. From the blood sample, we could extract information like Alanine Transferase (ALT), bilirubin, creatine, Alkaline Phosphatase (ALP), Aspartate Aminotransferase (AST) and Gamma Glutamyl Transferase (GGT) levels, the levels of these compound will be able to determine whether the patient is afflicted or not. To raise the information processing effectiveness, machine learning can be applied to help processing the information. Several algorithms like support vector machine (SVM), decision tree, K-Nearest Neighbor (KNN), Random Forest and X-Gradient Boost (XGBoost) can be used to process hepatitis data. This research is aimed to determine which algorithm has the highest accuracy in diagnosing hepatitis.
Development of a 3D Solar System Learning Media Application Based on Augmented Reality Rahmawati, Ardiani Putri; Novanti, Alya Nanda; Tirta, Muhammad Ihsan; Maisaroh, Lina; Nur Viranti, Risma Cahyani
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.v5i1.72953

Abstract

The present learning process is a unique challenge for teachers because the media created has to be creative, innovative, and not boring one of them on a 6th-thematic system learning material that USES book media as a learning tool. Students became less interested in studying these materials especially in today's era where society especially students coexist with technology. Interesting learning media is also essential for elementary school students. Teachers can use current learning media by taking advantage of technologies like augmented reality. Teachers can use the MBLC (multimedia development life cycle), which consists of six precepts, concept, design, collection of material, assembly, testing, testing, until distribution. Augmented reality is an application joining the real world with the virtual world in two and three dimensions projected in a real environment at the same time. Augmented reality can be used in entertainment, medicine, mechanics and learning media. Augmented reality can be built using the help of vuforia and unity 3d software. The end result of interactive learning media with augmented reality especially on solar system material that can later be created as a 3d image in an application.
Geometry and Color Transformation Data Augmentation for YOLOV8 in Beverage Waste Detection Itikap, Sabar Muhamad; Abdurrahman, Muhammad Syahid; Soewono, Eddy Bambang; Gelar, Trisna
Journal of Software Engineering, Information and Communication Technology (SEICT) Vol 4, No 2: Desember 2023
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/seict.v4i2.64400

Abstract

In the bottle sorting process in real world, there are some beverage packaging waste that is deformed. Deformed objects can result in detection errors by an object detection system. Detection errors can also occur in attributes that share similar feature maps. Detection errors can be caused by models that are unable to generalize to the data. Several methods have been devised to prevent such issues, with data augmentation being one of them. To increase the variety of data, data enhancement techniques will be utilized. This research employs a data augmentation technique that concentrates on geometry transformations such as scaling and rotation, as well as color transformations such as hue, saturation, and brightness. Additionally, a combination of geometry and color transformations was conducted, resulting in a total of 39 experimental scenarios. This study demonstrates that data augmentation can affect the model's performance in terms of accuracy and the number of detection results. The combined method of scaling and rotation, which is applied to the original data, reveals the optimal experimental scenario with an accuracy of 88.4%.
The Investigation of Convolution Layer Structure on BERT-C-LSTM for Topic Classification of Indonesian News Headlines Fabillah, Dzakira; Auliarahmi, Rizka; Setiarini, Siti Dwi; Gelar, Trisna
Journal of Software Engineering, Information and Communication Technology (SEICT) Vol 4, No 2: Desember 2023
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/seict.v4i2.63742

Abstract

An efficient and accurate method for classifying news articles based on their topics is essential for various applications, such as personalized news recommendation systems and market research. Manual classification methods are tedious, prompting the use of deep learning techniques in this study to automate the process. The developed model, BERT-C-LSTM, combines BERT, the convolutional layer from CNN, and LSTM, leveraging their individual strengths. BERT excels at transforming text into context-dependent vector representations, The design of the classification model employs a blend of convolutional layers and LSTM, referred to as C-LSTM. The convolutional layer possesses the capability to extract salient elements, including keywords and phrases, from input data. On the other hand, the Long Short-Term Memory (LSTM) model exhibits the ability to comprehend the temporal context present in sequential data. This study aims to investigate the influence of the convolutional layer structure in BERT-C-LSTM on the classification of Indonesian news headline categorized into eight topics. The results indicate that there are no significant differences in accuracy between BERT-C-LSTM model architectures with a single convolutional layer and multiple parallel convolutional layers and the models using various filter sizes. Furthermore, the BERT-C-LSTM model achieves an accuracy that is not much different from the BERT-LSTM and BERT-CNN models, with accuracies reaching 92.6%, 92.1%, and 92.7%, respectively.
Design and Construction of a Web-Based Tourism Information System at Pamela Fantasy in Kubu Raya Regency Fareinsyah, Ivan
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.v5i1.71906

Abstract

Penelitian ini bertujuan untuk merancang dan membangun sistem informasi pariwisata berbasis web pada Pamela Fantasy di Kabupaten Kubu Raya. Dengan berkembangnya teknologi informasi, kebutuhan akan akses informasi yang cepat dan akurat menjadi sangat penting, terutama di sektor pariwisata. Pamela Fantasy, sebagai salah satu destinasi wisata di Kubu Raya, membutuhkan sistem informasi yang efektif untuk meningkatkan promosi dan pelayanan kepada wisatawan.
Design and Implementation of REST API for Predicting the Recitation of the Qur'an using Machine Learning Santosa, Krisna; Rofifah, Rifdah Hansya; Riani, Alfia April; Syawanodya, Indira; Tawakal, Iqbal
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.v5i1.70600

Abstract

The Qur'an is the Muslim holy book, consisting of 30 juz and 114 surahs of varying length and number of verses. Reading the Qur'an involves special techniques to understand and read with similarity or consistency to the verse being read. In the digital era, technology enables the development of applications that support the learning and analysis of Qur'anic recitation. This research aims to design and implement a REST API to predict Qur'an recitation using a machine learning (ML) model. This API accepts voice recordings from users and provides output in the form of an assessment of the similarity of their recitation to the desired verse. Using FastAPI and pre-trained models such as Wav2Vec2, the system can translate audio into text with fairly good accuracy. Experimental results show a word error rate (WER) of 30%, which indicates the need for further improvement but is sufficient in the experimental context. The technology is useful as a self-learning tool for the Qur'an, but it does not replace the role of the teacher. Future research should focus on improving model accuracy and integrating more user-friendly features. 
Design of Web-Based Incoming and Outgoing Letter Archiving Software for the West Kalimantan Provincial Inspectorate Julianto, Sebri
Journal of Software Engineering, Information and Communication Technology (SEICT) Vol 4, No 2: Desember 2023
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/seict.v4i2.61867

Abstract

The Inspectorate of West Kalimantan Province is a government agency that has the duty and responsibility to realize quality governance. The West Kalimantan Inspectorate Secretariat has a Sub-section for Administration and General Affairs which has task of managing incoming and outgoing mail. Manual recording requires a relatively long time and also creates recurring problems in terms of searching letter data. It is hoped that this filling design can be used as a system recommendation to be applied to the West Kalimantan Provincial Inspectorate in the administration and general section. The system design method in this study uses the system development life cycle (SDLC) method with the waterfall model. Data collection was carried out by observation, interview, and literature study. This research produced an information system to help manage correspondence activities. Forms created are limited to issues in creating views of incoming mail, outgoing mail, login pages, job title pages, home pages and user pages.

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