Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Jurnal Geodesi Undip Lugawiyyat
Mohammad Idris
Unknown Affiliation
Earth & Planetary Sciences Education Languange, Linguistic, Communication & Media

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Analisis Pemanfaatan Citra Landsat 7 Untuk Pemetaan Kandungan Bahan Organik Tanah Dengan Metode Pca Dan Regresi Linier Berganda Bertahap Di Kabupaten Bangkalan Mohammad Idris; Sawitri Subiyanto; L. M. Sabri
Jurnal Geodesi UNDIP Volume 3, Nomor 1, Tahun 2014
Publisher : Departement Teknik Geodesi Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (684.44 KB)

Abstract

Information on soil organic matter (SOM) is required for consideration in planning development of sustainable land as land with high SOM score could be prioritized for field potential. Bangkalan regency encounters increased shift in land use after the operation of Suramadu bridge, causing land convertion does not consider natural value of the soils. In this study, mapping of soil organic matter on july 2013 is implemented by using remote sensing techniques. The remote sensing data is Landsat 7 (bands 1, 2, 3, 4, 5, and 7) with Normalized Difference Soil Index (NDSI) as the land identification. Ground-truth data be obtained by analyzing organic matter using ASTM D 2974 combustion method (American Society for Testing and Materials on Standard Test Methods for Moisture, Ash, and Organic Matter of Peat and Other Organic Soils). Data analysis uses stepwise multiple linear regression with three types of input (pixel values of 6 bands in grayscale mode,PCA with 6 PCs, and PCA with 3 PCs). The results showed that using principal component analysis (PCA) with 6 PCs can be used to predict soil organic matter. Application of stepwise multiple linear regression (SMLR) equation by using input principal component analysis (PCA) with 6 PCs to estimate soil organic matter showed that the soil in the study area generally contain diverse organic matter (covering 61.7% of the study area). Therefore, information on texture and structure contents of soils, harvest periods, cover crops, guided use of fertilizers, socio-economic incentives are needed to improve the results of BOT in study areaKeywords: remote sensing, mapping, soil organic matter, SMLR, PCA
Bahan Ajar Maharah Qiro’ah berbasis Aktifitas I’rob di Prodi Pendidikan Bahasa Arab UNISMA Junaidi, Mohammad Rifqi; Syarif, Syihabuddin; Idris, Mohammad; Naftali, Siti Rihana
Lugawiyyat Vol 6, No 2 (2024): Lugawiyyat
Publisher : UIN Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/lg.v6i2.29507

Abstract

This research aims to develop effective maharah qira'ah teaching materials based on i'rob activities. This approach is expected to improve students' understanding and ability to analyze Arabic sentence structures, especially in the context of qira'ah. The method used in this research is research and development (RD) by adopting the Sugiyono model. Data was collected through interviews, observation and documentation studies, then analyzed using qualitative descriptive techniques. The research results show that the i'rob activity-based teaching materials developed can help students understand and apply i'rob rules in reading Arabic texts. The activities designed involve exercises in understanding sentence context, identifying i'rob elements, as well as application exercises in reading texts. Thus, it is hoped that the development of teaching materials can improve the quality of maharah qira'ah learning and facilitate students in mastering reading skills well.
Co-Authors L. M. Sabri Mohammad Rifqi Junaidi Naftali, Siti Rihana Sawitri Subiyanto Syarif, Syihabuddin