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All Journal Jurnal TIMES Journal of Nonformal Education JURNAL AKADEMIKA PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer JOISIE (Journal Of Information Systems And Informatics Engineering) Building of Informatics, Technology and Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Sistem Komputer dan Informatika (JSON) Journal of Computer Networks, Architecture and High Performance Computing Jurnal UNITEK Educativo: Jurnal Pendidikan Jurnal Ilmiah Informatika dan Ilmu Komputer Akademika Fortech : Journal of Information Technology
Mulyadi Rusli
Universitas Nurdin Hamzah
Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Other

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Meningkatkan Kognitif Siswa SMAN I Jambi Melalui Modul Berbasis E-Book Kvisoft Flipbook Maker Mulyadi Rusli; Louis Antonius
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 1 No. 1 (2019): September 2019
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v1i1.1397

Abstract

This research was aimed to: produce module based on e-book using Kvisoft Flipbook Maker application that proper to increase learning interest and cognitive learning outcome, know the increasing interest of senior high school students which use learning media module based on e-book using Kvisoft Flipbook Maker application, and know the increasing of cognitive learning outcome of senior high school students which use learning media module based on e-book using Kvisoft Flipbook Maker application.  The result show that: the module based on e-book using Kvisoft Flipbook Maker application is proper to increase learning interest and cognitive learning outcome of senior high school students seen from very good and good results category of practitioner appraisal and student’s response, the increasing of student’s learning interest which use module based on e-book using Kvisoft Flipbook Maker application by low category standard gain, and the increasing of student’s cognitive learning outcome which use module based on e-book using Kvisoft Flipbook Maker application by medium category standard gain
Sistem Informasi Pembelajaran Interaktif Mata Pelajaran Simulasi Digital Pada SMK Revany Indra Putra Mulyadi Rusli; Teuku Djauhari; Fattachul Huda Aminuddin
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 3 No. 2 (2021): Desember 2021
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i2.3618

Abstract

The development of information and communication technology also influences the progress of learning media innovation, this study uses the information system development method consisting of three stages of research development procedures, namely needs analysis, design, development and implementation. The subjects of this study were students on digital simulation subjects majoring in computer network engineering at SMK Revany Indra Putra. The results showed that interactive learning media on digital simulation subjects could be a variety of media for learning. It is expected that the results of the development of this virtual module will have an impact on increasing students' mastery in learning digital simulations.
SISTEM INFORMASI PENDAFTARAN SISWA BARU BERBASIS WEB UNTUK SEKOLAH YAYASAN AL-MADRASATUL MAHDALIYAH JAMBI Yeni Nurjani; Eza Dwi Satria; Mulyadi Mulyadi
FORTECH (Journal of Information Technology) Vol 10 No 1 (2026): Fortech (Journal Of Information Technology)
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/h8m5nn90

Abstract

In today's digital era, technology-based administrative systems are essential to enhance the efficiency and effectiveness of data management in the education sector. Madrasah Tsanawiyah Al-Madrasatul Mahdaliyah Jambi still uses a manual student registration system, which often results in issues such as data entry errors, duplication, and delays in processing information. Therefore, this study aims to design and develop a web-based student administration information system using the CodeIgniter framework and MySQL database. This system is designed to facilitate the new student registration process, improve data accuracy, and provide easy access for students and school administrators in managing registration information. The results of this study indicate that the developed system improves administrative efficiency, reduces recording errors, and accelerates information access. Thus, the implementation of this system can be a solution to optimize student administration management at Madrasah Tsanawiyah Al-Madrasatul Mahdaliyah Jambi.
Optimasi Support Vector Machine Menggunakan Pendekatan Hybrid Kernel Linear-RBF Untuk Klasifikasi Penyakit Jantung Mulyadi Mulyadi; Dian Kasoni; Nurdiana Handayani; Liesnaningsih Liesnaningsih
Journal of Information System Research (JOSH) Vol 7 No 2 (2026): January 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v7i2.9174

Abstract

Heart disease remains one of the leading causes of mortality worldwide, making early detection crucial to prevent severe complications. The limitations of conventional diagnostic approaches have encouraged the adoption of machine learning techniques to enable faster and more accurate predictions. Support Vector Machine (SVM) is widely recognized as an effective method for medical classification tasks; however, its performance is highly dependent on the choice of kernel function. This study evaluates three single-kernel SVM models (Linear, RBF, and Polynomial) and two hybrid kernel configurations, namely Linear–RBF and Linear–Polynomial, using the UCI Heart Disease Statlog dataset, which consists of 270 samples and 13 predictive features. In the hybrid approach, the probabilistic outputs of the individual base kernels are combined through an aggregation strategy to construct a decision function capable of capturing both linear and nonlinear patterns simultaneously. To ensure performance stability on the relatively small dataset, model evaluation was conducted using Stratified K-Fold Cross Validation, ensuring that the reported results do not rely on a single data split. Experimental results indicate that the SVM-Polynomial model achieved the highest ROC-AUC value of 0.9420; however, it did not outperform other models in terms of accuracy, precision, or F1-score. The hybrid approach demonstrated more consistent overall performance, with the Linear–RBF combination emerging as the best-performing model, achieving an accuracy of 0.8889, macro precision of 0.8896, and macro F1-score of 0.8886. These findings suggest that integrating linear and nonlinear kernel characteristics produces a more balanced decision function compared to single-kernel models. In contrast, the Linear–Polynomial combination did not yield significant performance improvements. The main contribution of this study lies in presenting a structured comparative analysis of kernel combination strategies in SVM for heart disease classification, which may support the development of more adaptive and stable clinical prediction systems.
Co-Authors Adam M Tanniewa Alexander, Allan D Aminuddin, Fattachul Huda Andrian Sah Angga Angga darex susanto, darex Dian Kasoni Djauhari, Teuku Eza Dwi Satria Faiza Rini Fattachul Huda Aminuddin Fery Purnama, Fery Firlana, Aji Fun, Chi-Win Husni Mubarok Jasmir, Jasmir Junaidi Surya, Junaidi Liesnaningsih Liesnaningsih Losicha Tyera Louis Antonius Megawati, Merty Merti Megawaty Merty Megawati Merty Megawati MULYADI Nurdiana Handayani Popi Dayurni Rini Nuraini Sulanti, Noni Suryawahyuni Latief Suryawahyuni Latief Teotino Gomes Soares Windy Adriana Yeni Nurjani