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All Journal MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Jurnal Prima Edukasia Jurnal Pendidikan Usia Dini Briliant: Jurnal Riset dan Konseptual Journal of Development Research Metodik Didaktik Jurnal Pendidikan : Riset dan Konseptual Jurnal Bidang Pendidikan Dasar Cetta: Jurnal Ilmu Pendidikan Premiere Educandum: Jurnal Pendidikan Dasar dan Pembelajaran Prosiding SAKTI (Seminar Ilmu Komputer dan Teknologi Informasi) EDUKATIF : JURNAL ILMU PENDIDIKAN Wahana Sekolah Dasar Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Thinking Skills and Creativity Journal Journal of Robotics and Control (JRC) Journal Zetroem Jurnal Pengabdian dan Pemberdayaan Nusantara (JPPNu) Jurnal Penelitian Pendidikan Indonesia Jurnal Sistem Komputer Asia Journal of International Accounting, Taxation and Information Systems Jurnal ilmiah teknologi informasi Asia
Mohammad Zainuddin, Mohammad
Universitas Negeri Malang
Aerospace Engineering Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Public Health Social Sciences Other

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Effectiveness of TPACK types based on constructionist activities on students technological literation ability Fauzatul Ma'rufah Rohmanurmeta; Herawati Susilo; Mohammad Zainuddin; Syamsul Hadi
Premiere Educandum : Jurnal Pendidikan Dasar dan Pembelajaran Vol. 13 No. 2 (2023)
Publisher : Universitas PGRI Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25273/pe.v13i2.16895

Abstract

This study aims to compare the effectiveness of the TPACK types which include TPACK-IK, TPACK-TK, TPACK-VK, and TPACK-V on students' technological literacy abilities. This type of research is pure experimental research. The research design used was pretest-posttest with nonequivalent groups. The population in this study amounted to 272 students. The sample of this study included 30 students in class A, 31 students in class B, 29 students in class C, and 30 students in class D. The data collection technique used in this study is the test. The research instrument used was the question sheet. The results showed that based on the results of the paired t test, it was found that there was a difference in the average pretest and posttest scores in the experimental group I with a P value of 0.001, the experimental group II with a P = 0.026, and control I with a P = 0.034. Whereas in the control group II there was no difference in the average pretest and posttest scores with P = 0.283. Based on these data the treatment with TPACK-IK gave the best results on students' technological literacy skills. Meanwhile, based on the Two Way Anova analysis, it shows that Fcount > Ftable with an acquisition score of 9.456 > 4.03 with P <0.05. The data shows that the four types of TPACK are able to differentiate students' technological literacy levels.
Developing of Literacy Skills in Writing Stories for Elementary School by Using Big Book Zainuddin, Mohammad; Saifudin, Ahmad; Lestariningsih, Lestariningsih; Nahdiyah, Umi
Jurnal Prima Edukasia Vol. 11 No. 2 (2023): July 2023
Publisher : Asosiasi Dosen PGSD dan Dikdas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jpe.v11i2.59419

Abstract

The aim of this study is to describe the process and the result of developing literacy skills in writing stories for Elementary School by Using Big Book. This study uses research and development research methods. The steps taken from the ADDIE development model were used in this research's research model for the development of teaching and learning media, which included five stages, namely (analysis), (design), (development), (implementation), and (evaluation). The subjects of the preliminary field test were grades 4, 5, and 6 using the random sampling method. The research data was obtained through the interview technique which was conducted after the observation process of classroom learning within a period of 3 months of classroom learning. The data was collected by observation, interviews, product validation, and questionnaires. The results of this study resulted in a Big Book-based thematic textbook product with the TPACK model that has been tested and validated by experts. The average results starting from the assessment of the feasibility of big book textbooks by material testing, feasibility of textbooks by media experts, feasibility of big book textbooks by classroom teachers, feasibility of big book textbooks by small group testing, and feasibility of big book textbooks by testing field obtained an average of 4.35. It means that the big book is very suitable to be used as a teaching medium in literacy learning for students of Wildan Mukholladun. 
Implementasi algoritma YOLOv5 pada platform Android untuk penghitungan bibit ikan lele (clarias sp.) Zainuddin, Mohammad; Zuhri, Muhammad Saifuddin
Jurnal Ilmiah Teknologi Informasi Asia Vol 19 No 2 (2025): Volume 19 nomor 2 2025 (8)
Publisher : LP2M Institut Teknologi dan Bisnis ASIA Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jitika.v19i2.1184

Abstract

Catfish aquaculture in Indonesia faces an efficiency challenge in its fry counting process, which still relies on manual methods. This research aims to develop and evaluate a mobile application based on the Android operating system that implements the YOLOv5 algorithm for the automated, real-time detection and counting of catfish fry. The model was trained using an image dataset from Roboflow and integrated into an application developed with the Flutter framework. The model's performance was quantitatively assessed using Precision, Recall, and F1-Score metrics across three scenarios: normal, clustered (occlusion), and shadowed conditions. The test results show that the best performance was achieved under normal conditions, with an F1-Score of 0.949. Performance decreased when the fry was clustered (F1-Score of 0.874) due to object occlusion, and also under shadowed conditions (F1-Score of 0.786) because of false positive detections. These findings confirm the suitability of YOLOv5 for fry counting applications on mobile devices while also highlighting critical areas for improvement, particularly in handling lighting variations and overlapping objects.
Exploration of Parents' Perceptions of Nutrition Intervention Programs in Improving Early Childhood Cognitive and Social Development: A Case Study at an Early Childhood Institution Arifin, Zainul; Zainuddin, Mohammad; Arifin, Imron; Hayatiningsih, Ula Nur; Aisyah, Eny Nur
JURNAL PENDIDIKAN USIA DINI Vol 19 No 2 (2025): Jurnal Pendidikan Usia Dini Volume 19 Number 2 November 2025
Publisher : Program Studi Magister Pendidikan Anak Usia Dini

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/jpud.v19i1.53378

Abstract

This study aims to explore parents' perceptions of nutrition intervention programs in supporting the cognitive and social development of early childhood at the An Nur Early Childhood Education Institution in Malang Regency. This study uses a qualitative approach with a case study design and involves 10 parents selected through purposive sampling based on their level of active participation in the program and diversity of backgrounds. Data were collected through semi-structured in-depth interviews, direct observation of daily PAUD activities, and program documentation. Analysis was conducted using thematic analysis techniques to identify patterns and main themes. The results of the study indicate that parents perceive various benefits from the nutrition intervention program, including improved immune system, learning concentration, and children's social skills such as sharing and empathy. However, challenges remain, particularly in maintaining healthy eating patterns at home. Parents also suggested nutrition training, cooking activities, and regular health check-ups as forms of ongoing support. This study emphasizes the importance of a collaborative approach between parents, teachers, and institutions in the success of nutrition intervention programs, and provides practical contributions for PAUD institutions seeking to adopt similar approaches.
Pengembangan Panduan Keterampilan Proses Tema Daerahku dan Keindahan Alamnya Berbasis Kearifan Lokal Pada Guru SD di Blitar Zainuddin, Mohammad; Surayanah, Surayanah; Lestariningsih, Lestariningsih
BRILIANT: Jurnal Riset dan Konseptual Vol 9 No 1 (2024): Volume 9 Nomor 1, Februari 2024
Publisher : Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/briliant.v9i1.1648

Abstract

The aim of the research that has been carried out is to produce a process skills book that is valid according to experts. This process skills book contains the theme of my region and its natural beauty. It is hoped that this book can be used by teachers in teaching and learning activities at school. This research was motivated by the need for material based on local Blitar wisdom in schools. This research was conducted on elementary school teachers in Blitar City using purposive sampling techniques. The research method used in this research is development research (Research and Developmnet) with a 4-stage (4-D) design modified to 3-D. The development model used is the Analyze, Design, Develop, Implementation and Evaluation (ADDIE) model. The research results show that the average validation result for media experts is 4.8 (good), material experts 4.6 (good) and users, namely teachers, 4.4 (good). With the socialization of the development of process skills guides based on local wisdom in Blitar, teacher knowledge increased by 55%.
The effect of cognitive style on the analysis ability of grade 4 elementary school students Wahyu Susiloningsih; Herawati Susilo; Mohammad Zainuddin; Dedi Kuswandi; Oktaviani Adhi Suciptaningsih; Hanim Faizah
JPPI (Jurnal Penelitian Pendidikan Indonesia) Vol. 10 No. 2 (2024): JPPI (Jurnal Penelitian Pendidikan Indonesia)
Publisher : Indonesian Institute for Counseling, Education and Theraphy (IICET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/020243727

Abstract

The purpose of this study was to determine the relationship between cognitive style (reflective and impulsive) on students' analytical abilities. Analytical ability is part of learning outcomes. There are seven levels of cognitive learning outcomes which include knowledge, understanding, application, analysis, synthesis, evaluation, and creative problem-solving. Students' analytical abilities are influenced by many things, one of which is cognitive style. Cognitive style is a way of accepting and managing attitudes towards information, as well as habits related to the world of individual learning. Reflective and impulsive cognitive styles are cognitive styles with indicators of time understanding concepts. Reflective cognitive styles usually take a long time to respond, but consider all available options, and have high concentration while learning. Meanwhile, students with an impulsive cognitive style are the opposite. The approach used in this study is a correlational and multiple regression approach. The variables in this study are reflective cognitive style and impulsive cognitive style as independent variables and analytical skills as the dependent variable with a population of 130 students. The results showed that there was a relationship between students' cognitive style and analytical skills. The greater the cognitive style score, the greater the analytical ability score. Then the cognitive style affects the analytical ability of 19.9%, where the other 80.1% is influenced by other factors.
Development of a PBL-based differentiated e-module to improve mathematical problem-solving skills of fifth grade elementry school Anita Zunarni; Mohammad Zainuddin; Slamet Arifin; Intan Sari Rufiana
Jurnal Bidang Pendidikan Dasar Vol 10 No 2 (2026): June
Publisher : Universitas Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aimed to develop a differentiated e-module based on the Problem-Based Learning (PBL) model to improve mathematical problem-solving skills among fifth-grade elementary students. The study employed a Research and Development (R&D) approach using the ADDIE model: Analysis, Design, Development, Implementation, and Evaluation. Participants included fifth-grade students and teachers in Blitar. The e-module was validated by material experts, media experts, and practitioners, and tested through small-group (6 students) and large-group (28 students) trials. Data were collected using validation sheets, questionnaires, and pretest–posttest instruments. Results showed high validity, with scores of 89% from material experts and 88% from media experts, while practicality reached 92%, indicating a very practical product. Effectiveness testing revealed improved student performance (mean pretest = 55.40; mean posttest = 80.20), supported by a significant paired t-test result (p = 0.000 < 0.05). The e-module effectively supports adaptive, student-centered mathematics learning.
Comparison of CNN, ResNet50, and Xception for Deepfake Image Detection Rachmat; Mohammad Zainuddin; Handini Arga Damar Rani
ZETROEM Vol 8 No 1 (2026): ZETROEM
Publisher : Prodi Teknik Elektro Universitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/ztr.v8i1.7524

Abstract

This study compares the performance of three deep learning architectures—Convolutional Neural Network , ResNet50, and Xception—for frame-based deepfake image detection and identifies the most effective model in terms of accuracy, precision, recall, F1-score, and generalization. The study followed the Knowledge Discovery in Databases (KDD) framework using the Deepfake Detection Dataset (DFD Entire Original) from Kaggle, which consists of 3,432 videos, including 3,068 fake and 364 real videos. Videos were converted into frames using OpenCV, followed by face detection and cropping using MTCNN. The resulting face images were resized to 224×224 pixels, normalized, augmented, and labeled. To reduce classification bias caused by class imbalance, the training data were balanced using random undersampling, resulting in real frames and  fake frames. The dataset was then split into training, validation, and testing sets using a stratified 60:20:20 ratio. The results show that Xception achieved the best performance among the three models, with an accuracy of 95.21%, precision of 0.95, recall of 0.95, and F1-score of 0.95, followed by ResNet50 with an accuracy of 93.42% and CNN with an accuracy of 87.65%. These findings indicate that transfer learning-based architectures, particularly Xception, are more effective than conventional CNNs for deepfake image detection under a consistent experimental setting. This study is limited to a single dataset and frame-based evaluation, thus future work will explore the potential of hybrid models, such as Vision Transformer (ViT) combined with Capsule Networks , to improve detection performance and address challenges like temporal analysis and cross-dataset validation.
Analisis Sentimen Pengunduran Menteri Keuangan dan Dampaknya terhadap IHSG dengan Naive Bayes Bahri, M. Saiful; Zainuddin, Mohammad
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol. 15 No. 4 (2026): Agustus 2026
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v15i4.3686

Abstract

The resignation of Indonesia’s Minister of Finance in 2025 generated substantial public attention on social media and sparked concerns about its possible implications for the Indonesia Composite Stock Price Index (IHSG). This study investigates public sentiment related to the event and evaluates its association with IHSG performance. The analysis utilized 4,655 Twitter/X posts collected between 21 August and 26 September 2025. Public sentiment was classified using the Multinomial Naive Bayes algorithm combined with TF-IDF feature weighting, while the relationship between sentiment indicators and IHSG fluctuations was assessed through Spearman rank correlation and Ordinary Least Squares (OLS) regression. The sentiment classification model demonstrated strong performance, achieving 82.53% accuracy and an AUC value of 0.960. Negative sentiment accounted for the largest proportion of online discussions (46.1%). The results reveal that public sentiment did not exert a significant influence on IHSG movements within the same trading day. However, positive sentiment from the preceding period significantly affected the subsequent day’s IHSG log-return (β = 0.0322; p = 0.033), indicating that market reactions to social media sentiment tend to occur with a temporal delay. Keywords: Sentiment analysis; IHSG; Naive Bayes; TF-IDF; Social media   Abstrak Pengunduran diri Menteri Keuangan Republik Indonesia pada tahun 2025 memicu perhatian luas masyarakat di media sosial dan menimbulkan kekhawatiran mengenai potensi dampaknya terhadap pergerakan Indeks Harga Saham Gabungan (IHSG). Penelitian ini bertujuan menganalisis sentimen publik yang muncul terkait peristiwa tersebut serta mengkaji hubungannya dengan dinamika IHSG. Data penelitian terdiri atas 4.655 unggahan Twitter/X yang dikumpulkan selama periode 21 Agustus hingga 26 September 2025. Analisis sentimen dilakukan menggunakan algoritma Multinomial Naive Bayes dengan pembobotan TF-IDF, sedangkan hubungan antara sentimen dan pergerakan IHSG dianalisis melalui korelasi Spearman dan regresi Ordinary Least Squares (OLS). Hasil pengujian menunjukkan bahwa model klasifikasi memiliki kinerja yang baik dengan tingkat akurasi sebesar 82,53% dan nilai AUC sebesar 0,960. Sentimen negatif mendominasi percakapan publik dengan proporsi 46,1%. Temuan penelitian mengindikasikan bahwa sentimen publik tidak memberikan pengaruh yang signifikan terhadap pergerakan IHSG pada hari perdagangan yang sama. Namun, sentimen positif pada periode sebelumnya terbukti berpengaruh signifikan terhadap log-return IHSG pada hari berikutnya (β = 0,0322; p = 0,033). Hasil ini menunjukkan adanya respons pasar yang tertunda terhadap sentimen publik yang berkembang di media sosial. Kata kunci: Analisis sentimen; IHSG; Naive Bayes; TF-IDF; Media Sosial
Co-Authors Abdul Aziz Muslim Abdur Rahman As’ari Achmad Noercholis Aditama, Hatantya Surya Agusma Wajiansyah, Agusma Ahmad Saifudin, Ahmad Alfian, Izar Anita Nurgufriani Anita Zunarni Arbain Arbain, Arbain Arda Purnama Putra Aullia, Verra Bahri, M. Saiful Budi Eko Soetjipto Dedi Kuswandi Desi Ranita Sari Dharmawan, Ibna Septianing Eny Nur Aisyah Erif Ahdhianto, Erif Erita Febri Lestari Fadhilah, Umi Faizah, Hanim Fauzatul Ma'rufah Rohmanurmeta Ferril Irham Muzaki, Ferril Irham Haerul Salam Hafidah, Anisya Nur Handini Arga Damar Rani Hanim Faizah Hanim Faizah Hayatiningsih, Ula Nur Herawati Susilo Imron Arifin Intan Sari Rufiana Kistin Restu Perdana Krismon, Fajar Habib Latifah, Lia Lestari, Erita Febri Lestariningsih Lestariningsih Lilik Bintartik Lilik Nur Kholidah Mazidatur Rohmah Miya Dewi Suprihandari Mohamad Fatih Muhammad Saifuddin Zuhri Nahdiyah, Umi Nurhayati Nurhayati Oktaviani Adhi Suciptaningsih Parno Rachmat Radeni Sukma Indra Dewi Raharjo, Kusuma Adi Rahmawati, Dian Nur Retnosari, Yeni Dwi Roki’ Amrullah Sa'dun Akbar Salsabila, Unik Hanifah Shirly Rizki Kusumaningrum Slamet Arifin Sri Untari Subandoro, Agus Supriadi Supriadi SURAYANAH . Sutansi, Sutansi suwarti suwarti Syamsul Hadi Vivia Maya Rafica Wahyu Ramadhan, Dony Wahyu Susiloningsih, Wahyu Zainul Arifin