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Advantages of Learning Islamic Religious Education With the Quiziz App Feskariani, Dwi; Innayatullah, Ahmad; Wahidin, Wahidin; Supriadi, Supriadi; Koiruman, Joko Andi; Riyanto, Muklis; Susanto, Edy
Jurnal Visionary : Penelitian dan Pengembangan dibidang Administrasi Pendidikan Vol. 13 No. 1 (2025): April
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/vis.v13i1.14543

Abstract

This study aims to identify the benefits of the Quizizz application in learning Islamic religious education. This type of research is a literature review. Data was obtained from literature research from several journal articles. The data collection technique used is literature study. The data analysis technique uses qualitative analysis techniques in a deductive way. The results of the study found that the quizizz application in PAI learning provides benefits, namely increasing student involvement, teaching becomes more efficient, giving feedback by teachers becomes faster and increasing students' understanding because it uses a game-like approach so that the material can be remembered by students better. Based on the results of the research, it is recommended for educators to be consistent in improving the quality of learning by using the quizizz application for students.Keywords: Quizizz, Islamic Religious Education, Technology, Education
The Efficacy of Adobe Flash CS6-Based Interactive Learning Media in Enhancing Student Academic Performance Hermawansa, Hermawansa; Bainamus, Putri Milanda; Mikaresti, Pamela; Ilahi, Bogy Restu; Susanto, Edy
Jurnal Visionary : Penelitian dan Pengembangan dibidang Administrasi Pendidikan Vol. 13 No. 1 (2025): April
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/vis.v13i1.15250

Abstract

This study aims to Effectively Utilize Adobe Flash CS6-Based Interactive Learning Media in Improving the Learning Outcomes of State Junior High School Students 03 South Bengkulu. This research method is a descriptive quantitative experiment. The design that will be used is Design One Pretest-Posttest Group. The subjects of this study are 30 students of Grade seven B State Junior High School 03 South Bengkulu. The instrument used was 20 multiple-choice questions. The results of the study with paired sample test showed  that the value  of asym sig. (2-tailed) of 0.00 < 0.05 so that it was rejected and accepted, which means that there is an effectiveness of interactive learning media based on adobe flash CS6 in improving student learning outcomes in the informatics subject of grade VII at SMP Negeri 3 South Bengkulu. It can be concluded that Adobe Flash CS6-based interactive learning media is effective in improving student learning outcomes in the informatics subject of grade VII at State Junior High School 03 South Bengkulu South Bengkulu.Keywords: Effectiveness, Learning Media, Adobe Flash CS6.
TERAPI GEL DAUN JAMBU BIJI UNTUK TRAUMA PUTING: EVALUASI NTS DAN IL-6 PADA IBU NIFAS Husna, Dewi Asmaul; Wijayanti, Krisdiana; Susanto, Edy; Suwondo, Ari; Supriyana, Supriyana
Media Penelitian dan Pengembangan Kesehatan Vol. 35 No. 2 (2025): MEDIA PENELITIAN DAN PENGEMBANGAN KESEHATAN
Publisher : Poltekkes Kemenkes Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34011/jmp2k.v35i2.2805

Abstract

A great and intelligent generation began during a child's golden period, as early stimulation and nutrition had a significant impact on brain development. During the early breastfeeding phase, approximately 34–94% of women experienced nipple trauma, which potentially reduced breastfeeding continuity. One non-pharmacological therapy alternative was the use of guava leaf gel, which was more practical and easy to apply. This study aimed to evaluate the effects of guava leaf gel on nipple trauma healing. The research was conducted at Midwife's Independent Practice Bidan Eka Setyowati, S.Tr.Keb, in Semarang from October to November 2024, using a quasi-experimental pretest-posttest design with a control group. The research sample consisted of a total of 30 postpartum mothers who experienced nipple fissures, selected through purposive sampling. Inclusion criteria consisted of postpartum mothers with healthy, single-born babies who breastfed and experienced grade 2 nipple trauma, while exclusion criteria included mothers with inverted nipples and babies with tongue-tie conditions. The intervention group received breast milk and guava leaf gel applications three times daily for five days, while the control group received only breast milk. Healing was measured using the Nipple Trauma Score (NTS). Data analysis used the Friedman and Wilcoxon tests. The average NTS in the control group was 1.60, while in the intervention group, it was 0.40. Statistical analysis showed a p-value of 0.000 (p<0.05), indicating a significant difference between pre- and post-intervention NTS scores in both groups. It was concluded that guava leaf gel effectively accelerated nipple trauma healing.
PERAN ZAKAT PRODUKTIF DALAM MENINGKATKAN PENDAPATAN MUSTAHIK DI INDONESIA Semmawi, Ramli; Bakri, Asri Ady; Susanto, Edy; Kalsum, Ummu; Natsir, Imron
JURNAL ILMIAH EDUNOMIKA Vol. 8 No. 2 (2024): EDUNOMIKA
Publisher : ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/jie.v8i2.13335

Abstract

Abstrak Zakat produktif menjadi subjek utama dalam penelitian ini. Pendekatan penelitian ini mengumpulkan data melalui studi literatur, yang melibatkan pembacaan literatur dari berbagai sumber termasuk buku, jurnal dan laporan dengan menggunakan pendakatan kualitatif dan deduktif. Temuan penelitian ini bahwa peran zakat produktif dalam meningkatkan pendapatan mustahik sangat efektif. Karena dengan adanya zakat produktif dapat membantu para mustahik dalam pembangunan usaha, penambahan modal, pengembangan usaha dan lain-lain. Hal tersebut dapat meningkatkan pendapatan para mustahik, sehingga dapat memenuhi kebutuhan hidupnya sehari-hari. Karena tujuan dari zakat produktif ini adalah untuk mengubah para mustahik menjadi muzakki. Dengan hal ini, maka kemiskinan di Indonesia dapat terselesaikan. Kata Kunci: Zakat Produktif, Meningkatkan Pendapatan, Mustahik
Model Deteksi Parkinson Disease Berbasis Deep Learning Menggunakan Arsitektur VGG Lestari, Deva; Wibowo, Gatot Murti; Setiawan, Agung Nugroho; Suwondo, Ari; Susanto, Edy
Jurnal Imejing Diagnostik (JImeD) Vol. 12 No. 1 (2026): JANUARY 2026
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jimed.v12i1.14284

Abstract

Background: Parkinsons Disease (PD) is a progressive neurodegenerative disorder characterized by the loss of dopaminergic neurons in the substantia nigra, resulting in motor and non-motor impairments. Early diagnosis remains challenging due to subtle initial symptoms and the relatively low accuracy of clinical assessment during early disease stages. Magnetic Resonance Imaging (MRI) provides high-resolution anatomical visualization and has the potential to detect early morphological changes. Advances in deep learning offer opportunities for automated PD detection through MRI analysis. This study aims to develop a PD detection model using the VGG architecture and evaluate its performance on MRI images. Methods: This study employed a Research and Development (R&D) approach to construct a deep learning–based PD detection model. The dataset consisted of 2,000 brain MRI images (1,000 PD and 1,000 healthy controls) obtained from the open-source Kaggle platform. Preprocessing included image normalization and resizing to 256×256 pixels. The dataset was divided into 80% training data and 20% testing data. The model was developed using the VGG architecture and trained for 15 epochs with a batch size of 16. Model performance was evaluated using accuracy, precision, sensitivity, and specificity metrics. Results: The VGG model demonstrated excellent classification performance on the test dataset. Evaluation results showed an accuracy of 0.99, precision of 0.99, sensitivity of 0.98, and specificity of 0.99. The confusion matrix indicated that the model correctly classified 198 healthy control images and 196 PD images, with minimal misclassification. Visualization of MRI comparisons showed that the model was able to detect morphological changes in the substantia nigra, including loss of the normal curvature of the crus cerebri, as an early indicator of PD. Conclusions: The VGG-based PD detection model achieved very high performance in distinguishing PD from healthy controls using MRI images. These findings highlight the potential of deep learning as a tool for early PD detection. However, the use of Kaggle data as the primary dataset represents a limitation due to unverified acquisition standards and clinical quality. Therefore, further validation using multicenter clinical datasets is required to ensure the model’s generalizability to broader patient populations.
Analisis Nilai Kemandirian Siswa pada Pembelajaran Daring Anggereni, Desi Tri; Sasongko, Rambat Nur; Kristiawan, Muhammad; Riyanto, Muklis; Susanto, Edy
JOEAI (Journal of Education and Instruction) Vol. 4 No. 1 (2021): JOEAI (Journal of Education and Instruction)
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/joeai.v4i1.2145

Abstract

This study aims to determine self-regulated students in participating in the instructional process in the network (online) in TK IT Al Mawaddah Muara Rupit. The research method used is descriptive quantitative method in the form of a survey that uses a questionnaire as an instrument of data collection and data analysis techniques are descriptive statistics. The sample in this study were 27 respondents. The sample was taken by using purposive sampling technique. The results of the study, 81.5% of students were independent to wake up by themselves and then make the bed. 100% of students bathe themselves and wear their own clothes without the help of their parents, 70.4% of students remember today's lesson without being reminded by their parents, 77.8% of students do their own schoolwork, and 74.1% of students do their schoolwork on time without parents reminded. Even so, there are still students who do not have much independence to carry out all their activities so they still need help from their parents. In conclusion, the independence of students at TK IT Al Mawaddah Muara Rupit in online learning is good enough because almost all students are starting to become aware of the independence that must be done as students or early childhood. Keyword: Analyze, Student Independence, online instructional.
Identifikasi Motivasi Belajar Siswa pada Pembelajaran IPS Kelas VI di Sekolah Dasar Wahidin, Wahidin; Sasongko, Rambat Nur; Kristiawan, Muhammad; Riyanto, Muklis; Susanto, Edy
JOEAI (Journal of Education and Instruction) Vol. 4 No. 1 (2021): JOEAI (Journal of Education and Instruction)
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/joeai.v4i1.2152

Abstract

This study aims to identify the motivation of learning learners in social sciences (IPS) class VI at SD Negeri Sukaraja. The research method used is survey research with the purpose of exploration. The data collection in this study used questionnaires through google forms. The sample in this study amounted to 27 respondents who were grade VI students at SD Negeri Sukaraja. The results showed that the motivation of learning grade VI students in ips learning from 27 students surveyed, 26 of them responded that 84.6% of teachers conveyed IPS learning materials well so that students were enthusiastic in the learning process. In conclusion, the motivation of learning students in IPS learning is very good, students of grade VI SD Negeri Sukaraja are very enthusiastic in carrying out the learning process of IPS. Most of the students are serious in carrying out the learning process of IPS. Key words: Learning Motivation, Social Studies, Students
Comparative Analysis of RGB and Grayscale Pixel-Based Similarity Methods for Lung X-ray Image Retrieval in Clinical Decision Support Systems Widiyanto, Wahyu Wijaya; Nizam Husen, Mohd; Pariyasto, Sofyan; Susanto, Edy
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 6 (2025): JUTIF Volume 6, Number 6, Desember 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.6.5570

Abstract

Chest X-ray imaging is widely used to support the diagnosis of lung diseases, yet many automated similarity techniques still rely on RGB formats, which differ from the grayscale images commonly used in clinical systems. This discrepancy raises the question of whether color information is necessary for effective similarity assessment. This study aims to evaluate the performance of RGB and grayscale pixel-based similarity methods for lung X-ray analysis and determine whether grayscale images can provide comparable similarity performance with lower computational demands. A total of 300 chest X-ray images representing normal, pneumonia, and COVID-19 categories were processed in both formats. Pixel-level similarity was calculated across 30,000 image pairings, followed by statistical testing to assess differences between methods. The results show that grayscale similarity scores closely match those of RGB, with variations generally below 0.3%. A meaningful difference was observed only in the comparison between normal and COVID-19 images, indicating that RGB may capture subtle visual variations not present in grayscale. Overall, this study demonstrates that grayscale pixel-based similarity analysis provides a reliable and computationally efficient approach, contributing to the development of lightweight medical image retrieval and clinical decision support systems in the field of health informatics.
Co-Authors A.M, Juhri Adfit, Muhammad Fikri Adhani Windari, Adhani Adi Atma, Alfian Adrian, Qaanitah Sakha Ady Bakri, Asri Afifah, Mutia Nur Afni Safitri, Nur Agung Nugroho Setiawan Agus Subhan Akbar, Agus Subhan Ahmad Arif Ahmad Asrori Ahoen, Bahori Al Kurnia, Dyanovita Alani, Gina Tri Alfiana Alfiana Aliyya, Wenny Ladhunka Nur Amalia, Rizkiyatul Amdhi Yul, Fadlul Amin, Muhammad Fathul Aminudin, Muhammad Anggereni, Desi Tri Anik Fadlilah Anik Fadlilah Anik Fadlilah, Anik Antira, Lady Anwar Ilmar Ramadhan Ardiansyah, Novriza Wahyu Ardiyanto, Jefri Ari Suwondo ARI WAHYUDI Aria Hertanto, Arif Arie Hadiansyah, Muhammad Arinal Hasanah, Putri Fatmawati Ariyanti, Tri Dina Asri asri asrul, asrullah Astuti, Lina Tri Atma, Alfian Adi Ayu Ismi Hanifah Azkarahman, Aldyon Restu Badrun, M. Bagus Abimanyu, Bagus Baharudin, Agus Bainamus, Putri Milanda Bakri, Asri Ady Bambang Satoto, Bambang Banat , Azizatul Banyu Arga, Ciptaning Basyir Rantawi, Azhar Bintang Wahyuningsih, Nur bogy restu ilahi Budhi Rahardja, Istianto Budiati, Tri Asih Budiharto Budiharto Chastine Fatichah Criswanto, Mohamad Akbar Ryo Dani Setiawan Darmini Darmini Dede Hertina Dian Kusuma Wardhani Dikza Ramadhan, Risa Donny Fernandez Dwi Al Farizi, Faizal DWI ISKANDAR Dwi Sudarno Putra Dyah Adriantini Sintha Dewi Eha Renwi Astuti Eka, Andi Primafira Bumandava Eko Sudarmanto Eri Hartanto, Eri Erna Zakiyah Erwin Erwin Fadhilah, Ernita Shafa Nur Fadilah, Muhammad Reffy Fadlul Amdhi Yul, Fadlul Amdhi Fahmi, Marhalis Fani, Putri Irena Yupry Farenza, Gita Fatah, Ujang Fauzia, Nurul Febianti, Vira Febrianti , Mariska Febrianto, Sucipto Feskariani, Dwi Firman Jaya Fitri, Liza Aulia Fitria , Yenni Gatot Murti Wibowo, Gatot Murti Gatot Santosa, Gatot Gozali, Mochtar Gumilang Nurfirmansyah, Muhammad Aditya Hadiwinarto Hadiwinarto Hanafi, Arifah Puput Handayani, Agustia Handayani, Ike Mawarni Hanifah, Rizka Nurul Hariri, Ahmad Hasan Maksum Hendra Saputra Herly Evanuarini Hermawansa, Hermawansa Hermawasnsa Hertanto, Arif Aria Hidayatullah, Ade Hotdian Sinambela, Hotdian Husna, Dewi Asmaul Husnul Muthoharoh Ilahi, Bogy Restu Ilmar Ramadhan, Anwar Imron Natsir, Imron Indrayanto, Indrayanto Innayatullah, Ahmad Irena Yuprifany, Putri Irra Chrisyanti Dewi Jauhariansyah, Septian Judijanto, Loso Juliana, Ari Jumawan, Jumawan Junaid, Asriani Kartika, Erawati Kartika, Sintia Ela Kartiwi, Asti Putri Kevin kevin Khaeunisa, Ismah Koiruman, Joko Andi Krisdiana Wijayanti Kumar, K Sathish Kurnianingsih Kurnianingsih, Kurnianingsih Kuswardana, Muhamad Fadli legito, Legito Lestari, Deva Lubis , Nurhanifah Fadhliyah Lubis, Muhammad Rizqi Luthfia , Izza M. Yasep Setiawan Macariola, Julie Simon Mahadewa, Mirza Maharani, Puspita Ayu Maharani, Suci Majid , Assyeh Annasrul Majid, Assyeh Annasrul Maozyonzyah, Adit Saputra Marhamah Marhamah martiani Martiani Martiani, Martiani Maudiastiti, Meylinda Putri Ayu Maulana, Ismet Mayulia , Yuyun Medriati, Rosane Meilida Eka Sari Meliya, Leza Fica Melyana Nurul Widyawati Mesterjon, Mesterjon Meutia Tari, Eka Mikaresti, Pamela Muh. Arif Muhammad Kristiawan Muhammad Su'un Mukti, Gatot Ari Murlena, Murlena Nabeel Syah, Muhammad Rafa Nafiiyah, Nur Nastiti Sumarsono, Qabila Cita Kurnianusa Nastiti Sumarsono, Qabilah Cita Kurnia Nasution, Ichsan Naufal Rangga Gumilang, Raden Naufaly, Muhammad Syah Nipriansyah, Nipriansyah Nizam Husen, Mohd Nopriansyah NOVIANTI, MAYA Novianti, Nurhaliza Nur Afifah, Mutia Nur Aliyya, Wenny Ladhunka Nurhasanah, Shandra Dewi Nuridzati, Arifina Nuzul Hidayat, Nuzul Oktari, Vivi Oktaria, Sheren Dwi Oktarina, Tika Oktavia Pambudi, Dian PA Andiena Nindya Putri Pariyasto, Sofyan Parwito Parwito, Parwito Pradana, Muhammad Yoga Pratiwi, Rahmaliya PUJI LESTARI Pujiastuti, Rr. Sri Endang Puput Hanafi, Ariffah Purwanto, Wawan Puspa Rini Puspitasari, Norma Putra, Muhammad Adhitya Thamisyah Putra, Ramadhan Hardani Putri Milanda Bainamus Putri, Frestiany Regina Putri, Vina Ananda Qustiawan, Akhmad Rahardja, Istianto Budhi Raharjo, Refina Pebriyana Rahayu, Nugroho Tulus Rajendra, Muhammad Rafi Rambat Nur Sasongko Ramli Semmawi Rantawi, Azhar Basyir Rasyid Rasyid, Rasyid Ratna Kumala Dewi Ratnawati, Anista Yulia Regina Putri, Frestiany Rini Indrati, Rini RISALDI, HALFIC Rismaya Marbun Rita Zulbetti Riyanto, Muklis Riyanto, Ridho Rohmah, Alfisna Fajru ROSIVA ROSDIANA, SILVI Rosyidi, Ridhwan Runjati S Mulyadi, Dikdik S. Mulyadi, Dikdik Saipul Saputra, Cholin Edi Saputra, Riszki Sari, Meilida Eka Sari, Yeti Kartika Sefita, Ananda Septiani, Camilla Setiyadi, Johar Setyaningsih, Erna Sholikha, Rohmatus Siddiqa, Heidi Sinta, Dwi Siregar, Ahdiat Leksi Siti Masrochah Sitorus, Lizvan M. Sofian . Sri Rejeki Sri Sumarni Sri Widiyati, Sri St.Sukmawati S. Stanzah, Edo Subhan Subhan Sudarwan Danim Sudiyono Sudiyono Sugianto Sugianto Suharso Suharso Sulistyati, Hanifah Sumantri , Ajis Sumartono Sumartono Supriadi Supriadi Supriadin, Eman Supriono Supriono Supriyana Supriyana, Supriyana Suryati Kumorowulan Susena, Edy Susena, Edy Syifa Mustika Taftazani, Muhammad Zaidan Tamaulina Br Sembiring Theresia Theresia Tohardi, Ahmad Toruan, Enjelya Peronika Lumban Tri Khairullah, Rafi Triyugo Winarko, Triyugo Ulhaqiyah, Asyifa Ulil Absor, Muhammad Iqbal Iszuddin Ummu Kalsum Utama, Nico Vantra Viona, Elsa Wahidin Wahidin Wahidin Wahyuningsih, Nur Bintang Wardana, Satria Wisnu Wenny Ladhunka Nur Aliyya Wibawa, Agus Wibowo, Bogi Pratomo Wicaksono, Aliansi Widiyanto, Wahyu Wijaya Wijaya, Nopa Wijayanti, Maylinda Yenni Fitria Yudhi Gunardi Yulianti, Eka Budi Yusuf, Doni Zahra, Hanifah Yulia Az Zahra, Theofani