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Jurnal Komputer Indonesia
Published by Universitas Dehasen Bengkulu
ISSN : -     EISSN : 29623626     DOI : -
Core Subject : Science,
Computer Science & IT
Jurnal Komputer Indonesia (JKI) diterbitkan oleh Universitas dehasen Bengkulu. JKI memuat naskah hasil-hasil penelitian di bidang Ilmu Komputer. JKI berkomitmen untuk memuat artikel berbahasa Indonesia yang berkualitas dan dapat menjadi rujukan utama para peneliti dalam bidang Ilmu Komputer. Ruang lingkup JKI adalah sebagai berikut: Domain Specific Frameworks and Applications IT Management dan IT Governance e-Government e-Healthcare, e-Learning, e-Manufacturing, e-Commerce ERP dan Supply Chain Management Business Process Management Smart Systems Smart City Smart Cloud Technology Smart Appliances & Wearable Computing Devices Robotic Systems Smart Sensor Networks Information Infrastructure for Smart Living Spaces Intelligent Transportation Systems Models, Methods and Techniques Conceptual Modeling, Languages and design Software Engineering Information-centric Networking Human Computer Interaction Media, Game and Mobile Technologies Data Mining Information Retrievel Information Security Image Processing and Pattern Recognition Remote Sensing Natural Language Processing
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 50 Documents
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Implementation Of International Data Encryption Algorithm (Idea) In Database Security Web-Based S Giovani, Edwin; Sapri, Sapri; Jumadi, Juju
Jurnal Komputer Indonesia Vol. 2 No. 2 (2023): Desember
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jki.v2i2.294

Abstract

Security and confidentiality of data or information is one of the important aspects of data or information. The issue of security and confidentiality of computer data is important in this information age, especially for SMK Negeri 3 Seluma. Various ways are done to protect the data or information. One of them is by using cryptography with the International Data Encryption Algorithm (IDEA) algorithm. symmetry cryptography created that provides high enough security. The system implementation uses the PHP programming language with the MySql database. The method used in this research is waterfall, this application is designed using UML (Unified Modeling Language). From the analysis and discussion of the research obtained that the encryption results produced by the International Data Encryption Algorithm (IDEA) do not change the plaintext results into ciphertext if the key is greater than or many of the plaintext characters. The result of this research is a software application that is useful for maintaining database security with the International Data Encryption Algorithm (IDEA) method. With this application can be one solution in securing the database.
Decision support system for analyzing the level of satisfaction of library services using the analytic hierarchy process method Agus Kurniawan, Rafiq; Khairil, Khairil; Zulfiandry, Ricky
Jurnal Komputer Indonesia Vol. 2 No. 2 (2023): Desember
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jki.v2i2.295

Abstract

The utilization of Decision Support Systems can help humans decide things quickly, accurately and consistently. Dehasen University Library has difficulty in considering library services that need to be improved. The research method used in this research is the waterfall model method carried out is a needs analysis, namely determining needs, system design from needs analysis, making programs to design by writing program code, program implementation and testing of the system created. This decision support system is made using the native php programming language so as to speed up the determination of landfills by implementing the moora method. This SPK is also integrated into the MySQL database. From the results of research with this system more accelerate the selection ranking with several alternatives, and testing done with the manual process there is no difference.
Penerapan Model Pembelajaran Number Head Together (NHT) Terhadap Peningkatan Hasil Belajar Siswa Kelas X Dalam Mata Pelajaran Dasar-Dasar Desain Grafis Di SMK Negeri 1 Takalar Nurkhatima, Riswani; Lamada, Mustari M.; Riska, Muhammad
Jurnal Komputer Indonesia Vol. 3 No. 1 (2024): Juni
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jki.v3i1.546

Abstract

This study aims to determine the improvement of student learning outcomes through the application of the Number Head Together (NHT) learning model in class X SMK Negeri 1 Takalar. This research is included in the type of Classroom Action Research (PTK). The research subjects in this thesis are students of class X TKJ 01 at SMK Negeri 1 Takalar. The research was conducted in two cycles, where each cycle consisted of two meetings so that there were a total of four meetings in this study. Data collection techniques used by researchers include observation, Pretest-Posttest tests, questionnaires, and documentation. The data analysis applied was qualitative descriptive analysis using the percentage method to process the data that had been collected. Based on the findings and analysis of research data, it can be concluded that the application of the Number Head Together (NHT) learning model has a positive impact on student learning outcomes. Information was obtained that before the action was taken, the percentage of learning completeness was 28%, including 9 people. After implementing learning in cycle I by applying the Number Head Together method, there was an increase in percentage to 62.5%, involving 20 people. In cycle II, the percentage of learning completeness reached 93.75%, involving 30 people. Based on students' responses to the use of the Number Head Together learning model, it was concluded that out of a total of 32 respondents, 30 people or 94% stated that they were very satisfied, while 2 people or 6% stated that they were satisfied. There were no respondents who gave unfavourable, unfavourable or very unfavourable ratings, so it can be concluded that overall, respondents were very satisfied in using the Number Head Together (NHT) learning model in the learning process. Translated with DeepL.com (free version)
Pemanfaatan Media Pembelajaran Berbasis Powerpoint Terhadap Minat Belajar Siswa Pada Mata Pelajaran Informatika Di Kelas X DKV 3 SMK Negeri 1 Bengkulu Selatan Sani, Lorna Fitri; Sembiring, Lina Tri Astuti Br; Hermawansya, Hermawansya
Jurnal Komputer Indonesia Vol. 3 No. 1 (2024): Juni
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jki.v3i1.550

Abstract

This study aims to determine the utilization of powerpoint-based learning media on students’ learning interest in Informatics subject in class X DKV 3 SMK Negeri 1 of South Bengkulu. The method used in this research is a qualitative research method with a type of descriptive research with a qualitative approach. Data collection techniques in the form of questionnaires, observation, and documentation, the subjects of this study were 34 students of class X DKV 3 SMK Negeri 1 of South Bengkulu in Informatics subject. The results of this study based on the results of questionnaires, observations and documentation conducted that the utilization of powerpoint-based learning media has a positive impact in learning Informatics subject in class X students. Teachers who are able to use this media are able to manage the class better and pay attention to students who are not focused when watching learning videos. The results of the student learning interest response questionnaire are on the indicator of feelings of pleasure 68%. Interest indicator is 64%, student attention indicator is 81%, and student involvement/participation indicator is 63%. It is concluded that the results of the use of powerpoint-based learning media on the material of the social impact of informatics can be categorized as good because it can foster interest in learning and enthusiasm for students in following the learning process.
Dampak Game Online Terhadap Prestasi Belajar Siswa Di Smpn 17 Kota Bengkulu Pratama, Muhammad Ramanda; Masterjon, Masterjon; Yul, Fadlul Amdhi
Jurnal Komputer Indonesia Vol. 3 No. 1 (2024): Juni
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jki.v3i1.551

Abstract

This study aims to determine the impact of online games on the learning achievement of students in class IX A in the subject of Information and Communication Technology at SMPN 17 Bengkulu City. The research was conducted using qualitative methods. The source of data in this study were students of class IX A SMPN 17 Bengkulu City. Data collection techniques used in this research are observation, interviews and documentation. The stages of data analysis are preceded by data reduction, data presentation, then conclusion drawing. The results of this study indicate that there is a negative influence of the habit of playing online games at home on the learning achievement of students of SMPN 17 Bengkulu City in the 2013/2024 academic year. Students who play online games mostly come from middle class families with middle class economic ability. Students who play online games also have learning outcomes that are on average less than the KKM value set by the school, meaning that students who play online games are still unable to achieve better learning outcomes than those who do not play online games.
Design And Implementation Of Adversarial Neural Network For Voice Data Processing Tarigan, Heskyel Pranata
Jurnal Komputer Indonesia Vol. 2 No. 1 (2023): Juni
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jki.v2i1.562

Abstract

In today's digital age, voice data processing has become an important area in information and communication technology. Adversarial Neural Networks (GANs) are one of the recent methods that show great potential in improving the quality and efficiency of voice data processing. This article discusses the design and implementation of GANs for speech data processing, focusing on model architecture, optimization techniques, and performance evaluation. The results show that GANs can produce better speech representations and improve processing quality compared to traditional methods. It also explores the challenges faced in the implementation of GANs and provides recommendations for future development.
Security Analysis Of AI-Based Mobile Application For Fraud Valentino, Muhammad Ryan
Jurnal Komputer Indonesia Vol. 2 No. 1 (2023): Juni
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jki.v2i1.563

Abstract

Fraud in digital transactions is increasing along with the development of technology. To address this issue, artificial intelligence (AI)-based mobile applications have been used in detecting and preventing fraudulent acts. This research aims to analyze the security of AI-based mobile applications in the context of fraud detection, as well as identify the weaknesses and challenges faced. The results of the analysis show that while AI-based applications have great potential in detecting fraud, there are several security risks that must be addressed, including data privacy issues and attacks on AI models. This study also provides recommendations to improve the security and effectiveness of applications in detecting fraud.
Search Algorithm Optimization In E-Commerce Applications For Better User Experience Simeramisna, Brenda Sita
Jurnal Komputer Indonesia Vol. 2 No. 1 (2023): Juni
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jki.v2i1.564

Abstract

In the competitive world of e-commerce, user experience is a key factor in attracting and retaining customers. One of the important elements in user experience is the efficiency and accuracy of the search feature. This article discusses the optimization of search algorithms in e-commerce applications to improve user experience. This research explores various optimization techniques, such as search personalization, the use of machine learning algorithms, and user behavior analysis. Through experiments and data analysis, it is found that optimized search algorithms can significantly improve user satisfaction, speed up the search process, and ultimately, increase sales conversion. The results of this study show that integrating advanced technologies in search algorithms is an effective strategy in developing competitive e-commerce applications.
Implementation Of Biometric-Based Security System On Mobile Banking Application Saputri, Vettyca Diana
Jurnal Komputer Indonesia Vol. 2 No. 1 (2023): Juni
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jki.v2i1.565

Abstract

Security is a crucial aspect in mobile banking applications, given the increasing cyber threats that can harm both users and financial institutions. The implementation of biometric-based security systems, such as fingerprint scanning and facial recognition, offers a more secure solution than traditional authentication methods. This article discusses the implementation of biometric security systems in mobile banking applications, evaluating its effectiveness and challenges in its integration. Using literature review and system prototyping methods, this research shows that biometrics can increase the level of security and convenience for users, but requires attention to privacy issues and technology compatibility.
Neural Network Optimization Optimization For Medical Image Processing Fatimah, Siti
Jurnal Komputer Indonesia Vol. 2 No. 1 (2023): Juni
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jki.v2i1.566

Abstract

Medical image processing is a crucial field in healthcare, especially in supporting diagnosis and clinical decision-making. Artificial Neural Networks (ANNs) have become an effective tool in medical image processing, but challenges in ANN optimization still need to be addressed to achieve higher accuracy and better efficiency. This article examines JST optimization methods applied to medical image processing. Various techniques such as network architecture adjustment, regulation, and the use of advanced optimization algorithms are explored in this study. The results show that JST optimization can significantly improve the performance in pattern recognition and classification of medical images.

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