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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 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 Wahana Sekolah Dasar Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan
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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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

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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
PENGEMBANGAN MEDIATRAVEL GAME MATERI VOLUME BANGUN RUANG BERKARAKTER KOMUNIKATIF SISWA KELAS V SD Ibna Septianing Dharmawan; Mohammad Zainuddin; Arda Purnama Putra
Wahana Sekolah Dasar Vol. 31 No. 1 (2023)
Publisher : Universitas Negeri Malang in Collaboration with Himpunan Dosen Pendidikan Guru Sekolah Dasar Indonesia (HDPGSDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/wsd.v31i1.2824

Abstract

Penelitian dan pengembangan media Travel Game ini memiliki tujuan untuk menghasilkanproduk yang valid menurut ahli materi, ahli media, dan pengguna (guru kelas V), serta menghasilkanproduk yang praktis dan menarik menurut siswa. Model yang digunakan adalah model Dick & Carey yangterdiri dari sepuluh tahapan. Hasil penelitian menyatakan bahwa hasil validasi adalah ahli materi 95%, ahlimedia 92%, dan pengguna (guru) 88%. Hasil dari uji coba lapangan tahap pertama dari kelas VA adalah94% dan hasil uji coba lapangan tahap kedua dari kelas VB adalah 93%. Artinya, produk yangdikembangkan berupa media Travel Game dalam kualifikasi sangat valid/layak.
ANALISIS KEBUTUHAN BAHAN AJAR MATEMATIKA SISWA KELAS V SDN KEPANJENLOR 1 Lia Latifah; Mohammad Zainuddin; Surayanah
Wahana Sekolah Dasar Vol. 31 No. 2 (2023)
Publisher : Universitas Negeri Malang in Collaboration with Himpunan Dosen Pendidikan Guru Sekolah Dasar Indonesia (HDPGSDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/wsd.v31i2.2828

Abstract

Tujuan penelitian ini adalah untuk mengetahui bahan ajar yang dibutuhkan dikelas V SDN Kepanjenlor 1 pada muatan Matematika. Metode penelitian yangdigunakan adalah kualitatif, sehingga data didapatkan melalui pengisian angket danwawancara. Hasil penelitian yang diperoleh adalah guru memerlukan bahan ajarpendamping muatan Matematika materi penjumlahan dan pengurangan pecahan yangmemuat latihan soal dan penyelesaiannya yang berhubungan dengan kehidupan seharihari. Hasil angket diperoleh persentase 81%, artinya sebagian besar siswa memerlukanbahan ajar Matematika. Bahan ajar yang diperlukan oleh siswa adalah bahan ajarberbasis teknologi yang dilengkapi dengan video, gambar serta latihan soal.
PENGEMBANGAN LKPD BERBASIS HOTS PADA PEMBELAJARAN MATEMATIKA MATERI VOLUME BANGUN RUANG KELAS V SDN SENTUL 1 Hatantya Surya Aditama; Mohammad Zainuddin; Lilik Bintartik
Wahana Sekolah Dasar Vol. 27 No. 2 (2019)
Publisher : Universitas Negeri Malang in Collaboration with Himpunan Dosen Pendidikan Guru Sekolah Dasar Indonesia (HDPGSDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/wsd.v27i2.3147

Abstract

LKPD merupakan sebuah alat pembelajaran yang digunakan dalam proses pembelajaran dan berisi tugas-tugas yang dikerjakan siswa. LKPD sebaiknya berisi soal-soal yang mengasah ketrampilan berpikir tingkat tinggi (HOTS) sehingga siswa dapat berpikir kritis dan kreatif. Hasil wawancara dengan guru SDN Sentul 1, mendapatkan informasi bahwa guru jarang menggunakan soal-soal HOTS. Penelitian ini bertujuan untuk menghasilkan LKPD berbasis HOTS mengenai materi volume bangun ruang yang valid menurut ahli materi, ahli media, dan pengguna. Penelitian ini menggunakan model Borg and Gall. Berdasarkan hasil penelitian, LKPD sangat valid menurut ahli materi (96,42%), ahli media (95%), guru (97,02%), serta siswa (98,7%). Sehingga LKPD sangat layak digunakan.
Bahan Ajar IPA Berbasis STEM dalam Menciptakan PAIKEM untuk Meningkatkan Kemampuan Berpikir Kreatif Siswa Kelas IV pada Tema 2 Selalu Berhemat Energi Sub Tema 1 Sumber Energi Salam, Haerul; Parno, Parno; Zainuddin, Mohammad
Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan Vol. 6, No. 11
Publisher : citeus

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Abstract

The purpose of this research and development is to produce STEM-based science teaching materials in creating PAIKEM to improve students' creative thinking skills in Theme 2 Sub-theme 1 Energy Sources. The method used in developing the product uses the ADDIE model. The results of product development research get a score of 86.38% in the very valid/feasible category to use. The results of product attractiveness get a score percentage of 98.21%. The results of the practicality of the product get a score percentage of 98.50%. Based on the results, the average pretest score got a score of 33.83 which increased to 76.83 on the average posttest score with a completeness percentage of 5.55% to 91.66%. the results of research products developed in learning are feasible to use.
Peningkatan Keterampilan Sosial dan Hasil Belajar menggunakan Model Pembelajaran Kooperatif Roundtable dan Carousel Feedback Lestari, Erita Febri; Zainuddin, Mohammad; Soetjipto, Budi Eko
Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan Vol. 4, No. 10
Publisher : citeus

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Abstract

This study aims to analyze the improvement of social skills and social studies learning outcomes of student using RoundTable and Carousel Feedback cooperative learning models. The method used classroom action research. The subjects of this study were fourth class students which amounted to 33 students at SD Negeri 3 Besuki. The result of this study obtained from observation, documentation, questionnaires, tests, and interviews. The results showed that RoundTable and Carousel Feedback cooperative learning models can improve social skills and social studies of student learning outcomes.
Penerapan Model Fan-N-Pick dan Inside-Outside Circle untuk Meningkatkan Keterampilan Sosial dan Hasil Belajar Siswa Kelas IV Sekolah Dasar Nurgufriani, Anita; Soetjipto, Budi Eko; Zainuddin, Mohammad
Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan Vol. 4, No. 12
Publisher : citeus

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Abstract

The purpose of the study is to describe the application of the model FNP and IOC to improve the social skills and the learning outcomes of student class IV SDN 3 Besuki. Type of this research was PTK that includes two cycles. Research was conducted at SDN 3 Besuki, the subjectof this research is the students of class IV SDN 3 Besuki amounted to 32 people. Data collection: observation, interview, test, questionnaire, and documentation. The techniques of data analysis: reduction, data presentation and conclusion. The result of this research shows that the increased in social skills and the students learning outcomes in cycle I with a good criteria and increased to very good on the cycle II. The increase also occurred in the implementation of learning by teachers and students on the each cycle.
Pengaruh Model Pembelajaran Value Clarification Technique terhadap Nilai Kemandirian Siswa Kelas IV Rohmah, Mazidatur; Zainuddin, Mohammad; Untari, Sri
Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan Vol. 5, No. 10
Publisher : citeus

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Abstract

This study aims to analyzed and described changes in value independence of fourth grade students who learn through value clarification technique and the students who learn conventional teaching. This quantitative research was conducted at SD Negeri Tanjungrejo 2 in Malang city with 81 students population. The number of samples in this research was 41 students for experiment group and 40 students for control group. The sample technique in this research was simple random sampling. The study used independent questionnaires to collect the data. The results of this study indicate the significant value of t-test 0.000, this indicate that there was a significant effect value clarification technique to value student independence.
Co-Authors Abdul Aziz Muslim Abdur Rahman As’ari Achmad Noercholis Aditama, Hatantya Surya Agusma Wajiansyah, Agusma Ahmad Saifudin, Ahmad Alfian, Izar Amrullah, Roki’ 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 Hatantya Surya Aditama Hayatiningsih, Ula Nur Herawati Susilo Ibna Septianing Dharmawan Imron Arifin Intan Sari Rufiana Kistin Restu Perdana Krismon, Fajar Habib Latifah, Lia Lestari, Erita Febri Lestariningsih Lestariningsih Lia Latifah Lilik Bintartik Lilik Nur Kholidah Mazidatur Rohmah Miya Dewi Suprihandari Mohamad Fatih Nahdiyah, Umi Nurhayati Nurhayati Oktaviani Adhi Suciptaningsih Parno Parno Parno Rachmat Radeni Sukma Indra Dewi Raharjo, Kusuma Adi Rahmawati, Dian Nur Retnosari, Yeni Dwi Rohmah, Mazidatur Roki’ Amrullah Sa'dun Akbar Salam, Haerul Salsabila, Unik Hanifah Sari, Desi Ranita Shirly Rizki Kusumaningrum Slamet Arifin Sri Untari Sri Untari Subandoro, Agus Supriadi Supriadi Surayanah SURAYANAH . Sutansi, Sutansi suwarti suwarti Syamsul Hadi Vivia Maya Rafica Wahyu Ramadhan, Dony Wahyu Susiloningsih, Wahyu Zainul Arifin