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All Journal Jurnal Pendidikan Matematika Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Lensa : Jurnal Kependidikan Fisika Media Pendidikan Matematika Journal of Math Tadris (jMt) Lensa: Jurnal Kependidikan Fisika Mathematics Education Journal Media Pendidikan Matematika
Indira Puteri Kinasih
Universitas Islam Negeri Mataram
Religion Astronomy Chemistry Computer Science & IT Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Mathematics Physics Social Sciences Other

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Development of Mathematics Learning Tools with Project-Based Learning for The Enhancement of Students' Social Skills and Cognitive Learning Outcomes Masjudin, Masjudin; Kurniawan, Ade; Yuntawati, Yuntawati; Kinasih, Indira Puteri
Media Pendidikan Matematika Vol. 12 No. 1 (2024)
Publisher : Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/mpm.v12i1.10126

Abstract

Learning tools have a very important role in the learning process. Good learning tools make it easier for teachers to assist in the process of facilitating student learning. The aim of this research is to produce project-based mathematics learning tools that are valid, efficient and effective for improving students' social skills and cognitive learning outcomes. The type of research that will be used in this research is Development Research. The development model used is a development model adapted from the 4D development model (Define, Design, Develop and Disseminate). The data collection instruments used include device validation sheets, teacher and student response questionnaires, student social skills observation sheets and cognitive ability evaluation test sheets. The research results obtained: the results of device validation, the average score reached 4.2 with a very valid category; The average percentage of students' social skills scores reached 89.2% in the very good category; classical completeness reached 82% of students achieving a complete score; and teacher and student response data reached 4.2 to 93.3% which is in the very good category. Thus, it can be concluded that project-based mathematics learning tools are valid, efficient and effective for improving students' social skills and cognitive learning outcomes in statistics material.
RadReader: An Enhanced AlexNet-Based GUI Application for Pneumonia Prediction in Thoracic X-Ray Images Wiriasto, Giri Wahyu; Hipzi, Ahdiat Aunul; Suksmadana, I Made Budi; Misbahuddin; Kinasih, Indira puteri; Wiguna, Putu Aditya
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 6 (2025): December 2025
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i6.7023

Abstract

Recent advancements in radiology applications have led to user-friendly interfaces, improving pneumonia diagnosis by accurately differentiating between viral and bacterial pneumonia from thoracic X-rays. This approach enhances diagnostic precision and efficiency while offering intuitive real-time interaction for radiologists. This study aims to achieve two objectives: (i) developing a desktop-based radiology reader application, and (ii) modifying the alexNet architecture for classifying pneumonia based on thoracic X-ray datasets with the output encompassing pneumonia and normal cases. The desktop application assists radiologists in efficient image analysis and is developed using python–Tkinter. Integrate enhanced of AlexNet models which has been modified to better differentiate. The modified alexNet includes changes like adding max pooling in specific blocks and adjusting hidden layer neuron count. The dataset consists of 7442 images, with 4484 positive pneumonia and 2958 normal images obtained from the Mendeley websites. The enhanced alexNet (EAM) model achieves impressive results: 95.36% accuracy, 95.34% precision, 95.28% recall, and 95.31% F1-score for classifying bacterial pneumonia.
Co-Authors Ade Kurniawan Aryani, Fenny Aryani, Fenny Asryana, Asryana Asryana, Asryana Aulia, Rahmawati Bulkis Kanata Dwi Sabda Budi Prasetya Giri Wahyu Wiriasto Hipzi, Ahdiat Aunul I Made Budi Suksmadana JULIANGKARY, ELISKA Juliangkary, Eliska M. Laylul Mustagfirin Masjudin, Masjudin Misbahuddin, Misbahuddin Nurhardiani Nurhardiani Prasetya, Dwi Sabda Budi Putu Aditya Wiguna Sanapiah, Sanapiah Sanapiah, Sanapiah Sucipto, Lalu Suksmadana, I Made Budi Teti Zubaidah Yuntawati, Yuntawati