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All Journal Edusia: Jurnal Ilmiah Pendidikan Asia COREAI: Jurnal Kecerdasan Buatan, Komputasi dan Teknologi Informasi
Ali, Muhammad Mahrus
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Religion Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Mathematics Mechanical Engineering Social Sciences Transportation Other

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Deteksi Jalan Berlubang Menggunakan Metode Grey Level Co-Occurrence Matrix dan Neural Network Ali, Muhammad Mahrus
COREAI: Jurnal Kecerdasan Buatan, Komputasi dan Teknologi Informasi Vol 3, No 1 (2022): Pengembangan Aplikasi Berbasis Mobile untuk Layanan Publik: Studi Implementasi d
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1200.526 KB) | DOI: 10.33650/coreai.v3i1.4088

Abstract

Faktor utama yang menjadi penentu kelayakan kondisi suatu jalan yaitu kerusakan pada aspal sehingga pemeliharaan jalan perlu dilakukan secara berkala. Pemeriksaan kondisi jalan dilakukan oleh petugas survey dengan melakukan pengamatan langsung pada jalan yang akan diberikan penilaian secara manual. Aktifitas pemeriksaan dapat mengganggu kelancaran arus lalu lintas pada jalan yang padat kendaraan terlebih lagi dapat membahayakan keselamatan petugas survey. Diperlukan alternative pemeriksaan jalan untuk menghindari ancaman yang tidak diinginkan dan dapat membiat biaya lebih efektif. Pada penelitian ini dikembangkan suatu system deteksi jalan berlubang menggunakan data video, dengan menerapkan metode Gray Level Co-occurrence Matrix (GLCM) dan klasifikasi menggunakan Neural Network. Deteksi terdiri atas 2 tahapan, dimulai dengan mengekstraksi ciri citra jalan kemudian ditraining dengan pemberian label manual. Kemudian dilakukan uji data citra berdasarkan nilai pada data training. Dari pengujian Confusion Matrix menunjukkan hasil Recall sebesar 0,80 hasil Precission sebesar 0,06 hasil Accuracy sebesar 0,79 dan hasil Error Rate sebesar 0,20.
Relevansi dan Efektivitas Metode Resitasi Dalam Meningkatkan Prestasi Belajar Siswa Ali, Muhammad Mahrus
Edusia: Jurnal Ilmiah Pendidikan Asia Vol. 1 No. 1 (2021): Geographical Coverage: Indonesia
Publisher : Perkumpulan Alumni dan Santri Mahyajatul Qurro’

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (394.669 KB) | DOI: 10.53754/edusia.v1i1.181

Abstract

This study aims to determine the relevance and effectiveness of implementing the recitation method in improving student achievement. This research is directed to answer two problems: the relevance and effectiveness of the recitation method in learning Akidah Akhlaq subjects. Classroom Action Research with a quantitative research approach is used in the research method where data collection uses research measuring instruments (instruments). Data analysis is quantitative/statistical, aiming to test and prove the hypotheses that have been made/set. The data analysis technique used in this study was carried out in several stages, namely: a) data reduction, b) data presentation and c) conclusion drawing, data analysis in research using SPSS (Product Moment). The recitation method was applied to the subjects of Aqidah Akhlak grade 5. The conclusions followed the study results with the acquisition of scores and percentages: Cognitive score acquisition in cycle-1: 85.88 in cycle-2: 87.06, which means up: 1.18. the acquisition of affective values ​​in cycle-1: 89.41 in cycle-2:89,26. It means down: 0.15. The group score in the first cycle: 86.47 in the second cycle 89.41. It means up: 0.99. The acquisition of psychomotor scores in cycle-1: 90.69 in cycle-2 90.69. It means fixed. The average score (average) in cycle-1: 88.11 in cycle-2: 89.11 means that the value increases by: 0.99. The research analysis results can be concluded that the recitation method in Akidah Akhlaq subjects is relevant and effective in improving student achievement.
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