Joni Devitra
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Perbandingan Algoritma C4.5 Dan Naive Bayes Untuk Peminatan Penjurusan Pada SMK Negeri 6 Batanghari amrullah, Wahyu; Kurniabudi; Joni Devitra
Jurnal Informatika Dan Rekayasa Komputer(JAKAKOM) Vol 5 No 2 (2025): JAKAKOM Vol 5 No 2 SEPTEMBER 2025
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jakakom.2025.5.2.2287

Abstract

This study aims to analyze the comparison of the C4.5 and Naive Bayes algorithms in the selection of majors at SMK Negeri 6 Batanghari. The comparison between the C4.5 and Naive Bayes algorithms is carried out because of the effectiveness and accuracy in decision making. The C4.5 method as a decision tree algorithm provides a clear and easy-to-understand interpretation of the decisions taken, while Naive Bayes with its probabilistic approach is often faster and more efficient in handling large datasets. From the results of the analysis carried out, this study revealed that the two algorithms have different characteristics and performance in classifying student interest data. The C4.5 algorithm based on decision trees tends to be easier to interpret because it produces clear decision rules, while Naive Bayes based on probability has advantages in handling data uncertainty
Perancangan Dan Implementasi Sistem Informasi Pemasaran Digital Pada UMKM Madu Zalfa Berbasis Web Ami Wulandari, Cinthia; Dodo Zaenal Abidin; Joni Devitra
Jurnal Informatika Dan Rekayasa Komputer(JAKAKOM) Vol 5 No 2 (2025): JAKAKOM Vol 5 No 2 SEPTEMBER 2025
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jakakom.2025.5.2.2320

Abstract

The rapid development of digital technology, particularly the internet, has significantly impacted marketing activities. Many small and medium-sized enterprises (SMEs), such as Toko Madu Zalfa, still rely on traditional marketing methods, which are less effective in reaching a broader market. This study aims to design and implement a web-based digital marketing information system for Toko Madu Zalfa to improve marketing efficiency and expand customer reach. This research utilizes the Waterfall method, consisting of system analysis, design, implementation, and testing phases. The information system is designed using the PHP programming language and MySQL database, supported by UML (Unified Modeling Language) modeling tools to outline the system's flow. The system allows admins to manage product information, outlets, and customer testimonials digitally while providing reports related to products and promotions. Additionally, customers can easily access product information through the website without needing to visit the store in person, accelerating the marketing process and reducing promotional costs. The implementation results demonstrate that this information system successfully increases Toko Madu Zalfa's marketing reach and operational efficiency, while facilitating integrated data management. Therefore, this system is expected to assist Toko Madu Zalfa in competing in the digital era and expanding its market beyond the province.
Analisis Penerimaan SIREKAP Pemilu 2024 dengan Metode UTAUT dan TTF (Studi Kasus : Paal Merah) Calista Devi, Anisa; Sharipuddin; Joni Devitra
Jurnal Manajemen Teknologi Dan Sistem Informasi (JMS) Vol 5 No 2 (2025): JMS Vol 5 No 2 September 2025
Publisher : LPPM STIKOM Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jms.2025.5.2.2336

Abstract

This study analyzes the acceptance and use of the Sistem Informasi Rekapitulasi (SIREKAP) application in the 2024 Simultaneous Election in Indonesia, with a focus on Paal Merah District, Jambi City. The main objective of this research is to evaluate the factors influencing SIREKAP acceptance using the Unified Theory of Acceptance and Use of Technology (UTAUT) and Task Technology Fit (TTF) models. Based on data analysis from 254 respondents, the study found that Performance Expectancy positively influences the intention to use the application, while factors such as Effort Expectancy and Social Influence have no significant effect. Additionally, Task Technology Fit plays a significant role in improving performance and the usage of the SIREKAP application. These findings provide insights into the factors that need to be considered when implementing information technology in the election sector, as well as the importance of task-technology alignment in influencing the acceptance of applications.
Evaluasi Faktor Adopsi Jkn Mobile Di Kabupaten Muaro Jambi Dengan Menggunakan Metode Utaut (Unified Theory Of Acceptance And Use Of Technology) Dan Metode Technology Acceptance Model (Tam): JKN Mobile, UTAUT, TAM, Adopsi Aplikasi, SmartPLS 4 Lisa Oktariani; Setiawan Asegaf; Joni Devitra
Jurnal Manajemen Teknologi Dan Sistem Informasi (JMS) Vol 5 No 2 (2025): JMS Vol 5 No 2 September 2025
Publisher : LPPM STIKOM Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jms.2025.5.2.2540

Abstract

This study evaluates the adoption factors of the JKN Mobile application in Muaro Jambi Regency using the UTAUT (Unified Theory of Acceptance and Use of Technology) and TAM (Technology Acceptance Model) methods. The research aims to identify the factors influencing JKN Mobile adoption and compare the two models to determine which one better explains the adoption of this application. This study involved 393 respondents who are JKN Mobile users in Muaro Jambi Regency. Data were collected through questionnaires distributed online. Data analysis was performed using the Structural Equation Modeling (SEM) method with the help of SmartPLS software. The results showed that the UTAUT model has a better predictive ability in explaining JKN Mobile adoption compared to the TAM model. In the UTAUT model, the Facilitating Conditions (FC) factor has the strongest influence on User Behavior (UB). In addition, the Performance Expectancy (PE) and Social Influence (SI) factors also significantly affect Behavioral Intention (BI). Meanwhile, in the TAM model, the Perceived Ease of Use (PEOU) factor significantly affects Perceived Usefulness (PU) and Behavioral Intention to Use (BIU). Perceived Usefulness (PU) also proved to significantly affect Behavioral Intention to Use (BIU). This study provides practical implications for JKN Mobile application developers and related parties to pay more attention to the factors identified by the UTAUT and TAM models in an effort to increase application adoption.