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This Author published in this journals
All Journal Journal of Ethics and Character Education Journal of Marketing and Business Intelligence IJISCS (International Journal of Information System and Computer Science)
Muhamad Muslihudin
Prodi Sistem Informasi, Institut Bakti Nusantara, Lampung
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Mathematics

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SMART TOURISM IN KEDONDONG DISTRICT TO MAKE IT EASIER FOR TOURISTS Baiti Ilma; Muhamad Muslihudin
JMBI (Journal of Marketing and Business Intelligence) Vol. 1 No. 2 (2023): JMBI (Journal of Marketing and Business Intelligence)
Publisher : YHMM PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jmbi.v1i2.50

Abstract

Tourist attractions in Kedondong District have the potential for very many tourist destinations in various tourist attractions that can be visited from natural attractions, one of which is swimming pool tourism, crystal guava, mountains and others. However, the lack of information makes tourists not know that Kedodondong sub-district has lots of good and interesting tourist spots for holidays and taking pictures. This is the reason that underlies tourists not knowing about tourism in the Kedondong sub-district, therefore to make it easier for tourists to find out, they need a web-based application. By using this mobile web application, it can make it easier for tourists to find information on tourist attractions in the Kedondong sub-district and of course it is easy to visit tours in the Kedondong sub-district and in using this mobile web application, in making web-based information systems using distance technology to tourist locations as well as regarding information on these tourist attractions can use the information system. The results of this research on tourist attractions can help search for tourist objects and can promote tourism potential in the Kedondong sub-district as well as lift the Kedondong regional economy and make tourism information dissemination easier and more efficient.
PENGEMBANGAN MOBILE LEARNING PENDIDIKAN AGAMA ISLAM BERBASIS ANDROID UNTUK PENGUATAN KARAKTER RELIGIUS DAN HASIL BELAJAR SISWA Muhamad Muslihudin; Satriya Berland Atmaja
JECE (Journal of Ethics and Character Education) Vol. 4 No. 1 (2026): JECE (Journal of Ethics and Character Education)
Publisher : YHMM PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jece.v4i1.191

Abstract

The rapid development of information technology in the digital era has significantly influenced the education sector, including Islamic Religious Education (PAI). However, the learning process of PAI at MTs Muhammadiyah 1 Kalirejo is still dominated by conventional methods, resulting in students being less active, easily bored, and lacking learning motivation. This issue highlights the need for an innovative and interactive learning medium that aligns with current technological advancements. This study aims to design and develop an Android-based Islamic Religious Education learning application to enhance students’ learning motivation, effectiveness, and independence. The research adopts the Waterfall software development model, which includes stages of requirement analysis, system design, implementation, testing, and maintenance. the results show that the developed application features curriculum-based learning materials, instructional videos, daily prayers, and interactive game-based quizzes with an integrated automatic evaluation system. Based on black-box testing, all functions operated properly according to the design. Furthermore, user evaluation through a questionnaire involving 20 respondents indicated an overall satisfaction rate of 86%, categorized as very good in terms of interface design, security, and usability. in conclusion, this Android-based PAI learning application serves as an innovative solution to improve learning effectiveness and student engagement, while supporting the digital transformation of education in Islamic schools.
IMPLEMENTATION OF NAIVE BAYES ALGORITHM FOR PREDICTION OF THE SPREAD OF DENGUE HEMORRHAGIC FEVER Irma Rosita; Muhamad Muslihudin
IJISCS (International Journal of Information System and Computer Science) Vol 10, No 1 (2026): IJISCS (International Journal of Information System and Computer Science)
Publisher : Bakti Nusantara Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v10i1.1882

Abstract

Dengue Hemorrhagic Fever (DHF) remains a significant public health problem in Indonesia, particularly in regions with environmental conditions that support the growth of Aedes aegypti mosquitoes. This study aims to implement the Naive Bayes algorithm to predict the distribution of DHF cases in the working area of Wates Public Health Center, Pringsewu Regency, Lampung. The research employs a quantitative approach using data mining techniques, including data collection, preprocessing, modeling, and evaluation stages. The dataset consists of 260 DHF cases in 204-2025 categorized into acute, subacute, and non-acute conditions. The results indicate that the Naive Bayes algorithm achieved an accuracy of 65.8%, with a recall value of 0.658 and an F1-score of 0.556. The analysis also shows that most cases fall into the acute category, and there is no significant relationship between gender and disease severity. Although the AUC and MCC values are relatively low, the model provides an initial insight into the distribution pattern of DHF. Therefore, the Naive Bayes algorithm can be utilized as a decision support system to determine priority areas for intervention and as an early warning system to improve the effectiveness of DHF control.
Co-Authors Baiti Ilma Irma Rosita Satriya Berland Atmaja