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All Journal Jurnal Edukasi dan Penelitian Informatika (JEPIN) Jurnal Informatika Upgris AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat Dinamisia: Jurnal Pengabdian Kepada Masyarakat Infotekmesin Journal of Innovation Information Technology and Application (JINITA) Madani : Indonesian Journal of Civil Society EXPLORER Blend Sains Jurnal Teknik
Isa Bahroni, Isa
Politeknik Negeri Cilacap
Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Other

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Journal : Infotekmesin

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Metode Pengembangan Perangkat Lunak MDLC Pada Rancang Bangun Media Pembelajaran Planet Berbasis Teknologi Augmented Reality Abdul Rohman Supriyono; Anggita Dwi Fatimah; Isa Bahroni; Linda Perdana Wanti; Muhammad Nur Faiz
Infotekmesin Vol 14 No 1 (2023): Infotekmesin: Januari, 2023
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v14i1.1689

Abstract

Along with the development of smartphones, Augmented Reality technology has begun to be used as a medium of interaction, although it has not been properly implemented and applied as a supporting medium. The use of still image objects in textbooks can make students tend to be more passive and less interactive because media images are unable to provide a reciprocal response. In science subjects, there is solar system material regarding planet recognition. Props are needed as learning media because the object of observation from the planet is too large. Several props are used as imitations of the planets, such as the use of drawing paper, audio, and video. The purpose of this research is to make a breakthrough in the use of Augmented Reality technology to support media for understanding planet recognition material by creating digital teaching aids that can be installed on smartphone devices. The MDLC method is an alternative method for developing multimedia applications that are easy to understand. The results of the test show that the application can function as expected, where each planetary marker that has been made can be recognized properly according to the intended planetary object.
Metode Pengembangan Perangkat Lunak MDLC Pada Rancang Bangun Media Pembelajaran Planet Berbasis Teknologi Augmented Reality Supriyono, Abdul Rohman; Dwi Fatimah, Anggita; Bahroni, Isa; Perdana Wanti, Linda; Nur Faiz, Muhammad
Infotekmesin Vol 14 No 1 (2023): Infotekmesin: Januari, 2023
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v14i1.1689

Abstract

Along with the development of smartphones, Augmented Reality technology has begun to be used as a medium of interaction, although it has not been properly implemented and applied as a supporting medium. The use of still image objects in textbooks can make students tend to be more passive and less interactive because media images are unable to provide a reciprocal response. In science subjects, there is solar system material regarding planet recognition. Props are needed as learning media because the object of observation from the planet is too large. Several props are used as imitations of the planets, such as the use of drawing paper, audio, and video. The purpose of this research is to make a breakthrough in the use of Augmented Reality technology to support media for understanding planet recognition material by creating digital teaching aids that can be installed on smartphone devices. The MDLC method is an alternative method for developing multimedia applications that are easy to understand. The results of the test show that the application can function as expected, where each planetary marker that has been made can be recognized properly according to the intended planetary object.
Evaluasi Kinerja Model Machine Learning dalam Klasifikasi Penyakit THT: Studi Komparatif Naïve Bayes, SVM, dan Random Forest Prasetya, Nur Wachid Adi; Wanti, Linda Perdana; Purwanto, Riyadi; Bahroni, Isa; Listyaningrum, Rostika
Infotekmesin Vol 16 No 2 (2025): Infotekmesin: Juli 2025
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v16i2.2798

Abstract

Classification of Ear, Nose, and Throat (ENT) diseases is essential to support faster and more accurate diagnosis. However, no prior studies have specifically compared the performance of Naïve Bayes, Support Vector Machine (SVM), and Random Forest algorithms in ENT cases. This study aims to evaluate and compare the three classification models in identifying ENT diseases with or without comorbidities. Medical record data were processed through preprocessing, feature selection using ANOVA, and class balancing with SMOTE. The results showed that SVM outperformed the other models with the highest accuracy (59%), followed by Random Forest (57%), and Naïve Bayes (48%). SVM demonstrated superior performance due to its consistent scores across all evaluation metrics. The study concludes that the choice of classification model significantly impacts the accuracy of ENT disease diagnosis.
Co-Authors Abdul Rohman Supriyono Andesita Prihantara Andriansyah Zakaria Anggita Dwi Fatimah Annas Setiawan Prabowo Annisa Romadloni Antonius Agung Hartono Aris Tjahyanto Bayu Surya Atmoko Cahya Vikasari, Cahya Dodi Satriawan, Dodi Dwi Fatimah, Anggita Dwi Novia Prasetyanti Fadillah Fadillah Ganjar Ndaru Ikhtiagung Ilham Aditya Pangestu Linda Perdana Wanti Listyaningrum, Rostika Lutfi Syafirullah Muhammad Nur Faiz Nur Faiz, Muhammad Nur Wachid Adi Prasetya Nur Wahyu Rahadi Perdana Wanti, Linda Prabowo, Annas Setiawan Prasetyanti, Dwi Novia Prihantara, Andesita Rahadi, Nur Wahyu Ratih Hafsarah Maharrani Riyadi Purwanto Riyadi Purwanto Supriyono, Abdul Rohman Wanti, Linda Perdana Widianingsih, Betti