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All Journal Media Teknologi Hasil Perikanan Dentika Dental Journal Jurnal Geografi, Edukasi dan Lingkungan Jurnal Abdimas Mandiri KIDDO: Jurnal pendidikan Islam Anak Usia Dini Jurnal Manajemen Teknologi dan Sistem Informasi Technology and Society Perspectives (TACIT) Technopreneurship and Educational Development Review (TENDER) Media Journal of General Computer Science (MJGCS) Al Fattah Ejournal Sma Al Muhammad Cepu Jurnal Pengabdian Masyarakat Unama Eksplorium : Buletin Pusat Pengembangan Bahan Galian Nuklir Al-Mahabbah : Jurnal Manajemen Pendidikan Islam Journal of Golden Generation Multidisciplinary
Prayitno
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Model Matematik Reduksi Thorium dalam Proses Elektrokoagulasi Prayitno; Ridantami, Vemi
EKSPLORIUM Vol. 38 No. 2 (2017): NOVEMBER 2017
Publisher : BRIN Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17146/eksplorium.2017.38.2.3566

Abstract

Thorium reduction by electrocoagulation has been conducted on radioactive waste with thorium contaminant grade of 5x10-4Kg/l through a batch system using aluminium electrodes. This study aims to determine a mathematical model of thorium reduction through speed reaction, constante reaction rate and reaction order which are affected by electrocoagulation process parameters like voltage, time, electrode distance, and pH. The research results the optimum voltage condition at 12.5 V at 1 cm electrode spacing, pH 7, and 30 minutes of processing time with 99.6 % efficiency. Prediction on thorium decline rate constante is obtained through mathematic integral method calculation. The research results thorium decline rate is following second order constante with its value at 5x10-3KgL-1min-1.
STRATEGI MENINGKATKAN MUTU PARTISIPASI MASYARAKAT DI MI TAKHASUS DARUL ULUM NGALIYAN SEMARANG Ardi Pramana; Nuriyatul Hidayah; Prayitno
Al-Mahabbah : Jurnal Manajemen Pendidikan Islam Vol. 1 No. 1 (2025): Al-Mahabbah : Jurnal Manajemen Pendidikan Islam
Publisher : STIT Bustanul 'Ulum Lampung Tengah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62448/ajmpi.v1i1.310

Abstract

The role of community participation in Islamic educational institutions, particularly Madrasah Ibtidaiyah (MI), is increasingly recognized as essential for improving institutional quality and student outcomes. This study investigates the strategies implemented by MI Takhasus Darul Ulum Ngaliyan Semarang to enhance the quality of community involvement in school management. The aim is to explore how collaborative practices between the school and its surrounding community contribute to educational development. This qualitative research employs a case study approach supported by data from observations, interviews, and document analysis. The findings reveal that the madrasah has adopted inclusive strategies such as transparent communication, involvement in decision-making, utilization of local human resources, and open participation in both managerial and instructional activities. Community participation is manifested in both physical forms (e.g., infrastructure support, event committees) and non-physical forms (e.g., teaching, training, donations). These collaborative efforts have contributed to increased public trust, a 27% rise in student enrollment over two years, improved learning environments, and a strong sense of ownership among stakeholders. The study concludes that effective community engagement, when supported by visionary leadership and contextualized strategies, serves as a foundational pillar in building a resilient and sustainable educational ecosystem in Islamic schools. The model presented by MI Takhasus Darul Ulum offers practical insights for other Islamic educational institutions seeking to strengthen community-based governance
Penggunaan Barcode berbasis Internet of Things (IOT) untuk Sistem Akses Kamar Hotel Faishal, Yusuf; Prayitno
Journal of Golden Generation Multidisciplinary Vol. 2 No. 1 (2026): Februari 2026 : Journal of Golden Generation Multidisciplinary
Publisher : PT. Lembaga Penerbit Penelitian Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65244/jggm.v2i1.274

Abstract

Perkembangan teknologi digital mendorong industri perhotelan untuk mengadopsi sistem layanan yang lebih efisien dan aman, termasuk pada sistem akses kamar hotel. Penelitian ini bertujuan untuk menganalisis penerapan sistem akses kamar berbasis barcode yang terintegrasi dengan Internet of Things (IoT) serta dampaknya terhadap efisiensi operasional, keamanan, dan kualitas pelayanan hotel. Penelitian menggunakan pendekatan kualitatif deskriptif dengan teknik pengumpulan data melalui observasi, wawancara mendalam, dan dokumentasi terhadap manajer hotel, staf operasional, dan tamu hotel. Analisis data dilakukan melalui tahapan reduksi data, penyajian data, dan penarikan kesimpulan dengan triangulasi sumber dan teknik. Hasil penelitian menunjukkan bahwa sistem akses kamar berbasis barcode dan IoT mampu mempercepat proses check-in dan check-out, mengurangi ketergantungan pada kunci atau kartu akses konvensional, serta meningkatkan keamanan melalui penggunaan barcode unik dengan batas waktu tertentu dan pencatatan akses secara real-time. Selain itu, sistem ini mendukung pengelolaan data dan pengambilan keputusan manajerial, sehingga berpotensi meningkatkan daya saing hotel di era digital.
PEMANFAATAN FITUR AI GOOGLE GEMINI UNTUK PELATIHAN PENGEMBANGAN MATERI AJAR INTERAKTIF PADA SMAS ISLAM AL FALAH JAMBI Astri, Lola Yorita; Ophelia, Chandy; Wardani , Muhammad; Suyanti; Febri; Siswanto, Agus; Prayitno
Jurnal Pengabdian Masyarakat UNAMA Vol 4 No 2 (2025): JPMU Volume 4 Nomor 2 Oktober 2025
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jpmu.2025.4.2.2566

Abstract

Pendidikan di era digital menuntut pendekatan pembelajaran yang interaktif dan personal. SMAS Islam Al Falah Jambi menghadapi tantangan dalam mengembangkan materi ajar yang menarik karena keterbatasan literasi digital guru. Kegiatan pengabdian masyarakat ini bertujuan untuk memberikan pelatihan pemanfaatan fitur AI, khususnya Google Gemini, sebagai alat bantu dalam menciptakan materi ajar yang dinamis. Metode pelaksanaan meliputi penyuluhan teori dan praktik langsung kepada 20 orang guru. Hasil kegiatan menunjukkan bahwa peserta mampu memahami manfaat AI dan secara teknis dapat menggunakan Google Gemini untuk membuat materi ajar sesuai bidang studinya masing-masing. Antusiasme peserta yang tinggi selama pelatihan menunjukkan potensi besar untuk penerapan berkelanjutan. Kegiatan ini berhasil menjembatani kesenjangan keterampilan digital guru dan berkontribusi pada peningkatan kualitas pembelajaran di sekolah.
Klasifikasi Tumor Otak pada Citra MRI Menggunakan Transfer Learning EfficientNetB1 dan Visualisasi Grad-CAM Suyanti; Ophelia S, Chandy; Aryani, Lies; Saputra, Chindra; Prayitno
Jurnal Manajemen Teknologi Dan Sistem Informasi (JMS) Vol 6 No 1 (2026): JMS Vol 6 No 1 MARET 2026
Publisher : LPPM STIKOM Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jms.2026.6.1.2782

Abstract

Magnetic resonance imaging (MRI) provides rich anatomical contrast for brain tumor assessment, yet routine interpretation remains time-intensive and demands high precision. This work develops a pipeline for four-class brain MRI image classification (glioma, meningioma, pituitary tumor, and no tumor) by combining automated brain-region cropping, data augmentation, and transfer learning with EfficientNetB1. Experimental results demonstrate exceptional performance, achieving an overall accuracy of 0.99 (99%) on the test set. Specifically, the model reached an F1-score of 1.00 for the no tumor class, 0.99 for pituitary, and 0.98 for both glioma and meningioma classes. Beyond reporting numerical performance, the study utilizes Grad-CAM heatmaps to verify that predictions rely on clinically plausible regions rather than spurious background cues. These results indicate that an efficiency-oriented backbone, paired with systematic preprocessing, can achieve reliable and interpretable performance for brain tumor classification tasks.
Co-Authors Agus Siswanto Ajeng Kamaratih Anthon Setio Budi Ardi Pramana Arni Utamaningsih Aryani, Lies Bagus Yunianto Wibowo, Bagus Yunianto Chindra Saputra Dewi Liesnoor Setyowati Dwi Prastiyo Hadi, Dwi Prastiyo Endang Bachtiar Fahrudin Hanafi Faishal, Yusuf Febri Fiatunnabilah, Diliya Luth Hadi, Dwi Prasetiyo Hariyanto Herijanto, Pudji Lola Yorita Astri, Lola Yorita Maskur Moh. Ismail Muhammad Galang Pramudya Nelva Rolina NILAWATI Nur Rokhmah, Laela Nuriyatul Hidayah Ophelia S, Chandy OPHELIA, CHANDY Pitoyo, Pitoyo Praditya Oktanza Djaduk Wibisono Ramadani, Dinda Putri Ridantami, Vemi Safi’ul Wahida Sutrisno, Sutrisno Suyanti Suyanti Syamsiana, Ika Noer Wardani , Muhammad Wibisono, Praditya Oktanza Djaduk Yudha Samodra Yuniarti Soeroso