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AR4-50 MODEL, THE EXTRACTOR OF SPECTRAL VALUES INTO REMOTE SENSING IMAGE DATA-BASED LAND USE CLASS Akhbar, Akhbar; Basir, Muhammad; Somba, Bunga Elim; Golar, Golar
AGRIVITA, Journal of Agricultural Science Vol 35, No 3 (2013)
Publisher : Faculty of Agriculture University of Brawijaya and Indonesian Agronomic Assossiation

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

Abstract

This study attempted to develop an extraction model of spectral values ​​of land objects into land use/land cover classes on remote sensing image in the provision of land database for planning, evaluation, and monitoring in agriculture and forestry. This study employed an Isodata method and Knowledge-Based Systems (KBS) using the Landsat 7 ETM+ image in the coverage area of ​​117,799.06  ha, and the SPOT 5 XS image in the coverage area of ​​113,241.37 ha in Palu, Sigi and Donggala. The study found two image models labelled as AR4-50 and SBP-AR4-50. The separability image AR4-50 model has an average capability for separating land object pixels which are statistically 1811.98 to 1972.08 (moderate-good), with the class accuracy of land use/land cover using the image homogeneity model of SBP-AR4-50, which is totally (confusion matrix) 72.15% -87.17%, the accuracy level of land map generator for agricultural land/forestry is in good-excellent category on the Landsat 7 ETM+ and SPOT 5 XS images. Keywords: Image, Class, Land Use, Model, Separability, Homogeneity.
AR4-50 MODEL, THE EXTRACTOR OF SPECTRAL VALUES INTO REMOTE SENSING IMAGE DATA-BASED LAND USE CLASS Akhbar Akhbar; Muhammad Basir; Bunga Elim Somba; Golar Golar
AGRIVITA, Journal of Agricultural Science Vol 35, No 3 (2013)
Publisher : Faculty of Agriculture University of Brawijaya in collaboration with PERAGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17503/agrivita.v35i3.313

Abstract

This study attempted to develop an extraction model of spectral values ​​of land objects into land use/land cover classes on remote sensing image in the provision of land database for planning, evaluation, and monitoring in agriculture and forestry. This study employed an Isodata method and Knowledge-Based Systems (KBS) using the Landsat 7 ETM+ image in the coverage area of ​​117,799.06 ha, and the SPOT 5 XS image in the coverage area of ​​113,241.37 ha in Palu, Sigi and Donggala. The study found two image models labelled as AR4-50 and SBP-AR4-50. The separability image AR4-50 model has an average capability for separating land object pixels which are statistically 1811.98 to 1972.08 (moderate-good), with the class accuracy of land use/land cover using the image homogeneity model of SBP-AR4-50, which is totally (confusion matrix) 72.15% -87.17%, the accuracy level of land map generator for agricultural land/forestry is in good-excellent category on the Landsat 7 ETM+ and SPOT 5 XS images. Keywords: Image, Class, Land Use, Model, Separability, Homogeneity.
Debt To Asset Ration, Debt To Equity Ratio dan Return on Asset Muhammad Basir; , Andi Tenri Uleng Akal; Muhammad Rezki
BJRM (Bongaya Journal For Research in Management) Vol. 7 No. 1 (2024): BJRM (Bongaya Journal of Research in Management)
Publisher : LPPM STIEM BONGAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37888/bjrm.v7i1.547

Abstract

Tujuan penelitian ini adalah untuk mengetahui pengaruh Debt to Asset Ratio dan Debt to Equity Ratio terhadap Return On Asset pada PT. Japfa Comfeed Indonesia, Tbk. Jenis data yang digunakan adalah data kuantitatif dan data kualitatif. Metode analisis yang digunakan adalah analisis rasio, analisis regresi linear berganda, koefisien determinasi, koefisien korelasi, uji F dan uji t. Hasil penelitian diperoleh persamaan regresi Y = 103,99 – 247,38 X1 + 32,22 X2, koefisien determinasi (R2) = 0,78 atau 78%, koefisien korelasi (r) = 0,88 menandakan hubungan yang sangat kuat. Dari hasil penelitian ini disimpulkan bahwa secara simultan terdapat pengaruh yang signifikan pada variabel Debt to Asset Ratio dan Debt to Equity Ratio terhadap Return On Asset pada PT. Japfa Comfeed Indonesia, Tbk. Secara parsial variabel Debt to Asset Ratio mempunyai pengaruh positif dan tidak signifikan terhadap Return On Asset pada PT. Japfa Comfeed Indonesia, Tbk. Dan secara parsial Debt to Equity Ratio tidak berpengaruh signifikan terhadap Return On Asset pada PT. Japfa Comfeed Indonesia, Tbk.
MANAJEMEN KEUANGAN RUMAH TANGGA MENUJU MANDIRI PANGAN: PELAJARAN BERHARGA DARI PETANI UDANG VANAME DESA MOOTINELO KABUPATEN GORONTALO UTARA Mursan, Melani; wahyudian; anisa tute; setyo panigoro; nurfitriyani; muhammad basir; lolanda idrus; basid moh azid; arman maruf; arfan nusi
Journal Of Islamic Economics And Finance Vol 1 No 1 (2021): Volume 1 Nomor 1 Tahun 2021
Publisher : Universitas Islam Negeri K.H. Abdurrahman Wahid Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28918/jief.v1i1.3727

Abstract

Corona Virus Dieases 2019 (Covid-19) has become a global pandemic that has hit almost all countries. No exception, Indonesia is also the place where the epidemic has hit. Apart from the health sector, the economic sector is one of the sectors most affected as well. This can be seen in the country's economic recession and the decline in the stock price index. This research aims to determine the comparison of the Islamic stock index before and during the Covid-19 pandemic. Method this research is to use quantitative descriptive analysis method using paired sample t-test. The research was conducted from March 1, 2019 to March 1, 2021. The results showed that the increase in the number of Covid-19 cases did not significantly affect the movement of the Indonesian Sharia Stock Index (ISSI) so there was no significant difference between average prices. ISSI shares before and during the Covid-19 pandemic. With the results of this study, it is hoped that it can provide a reference for investors to choose and invest in Islamic stocks, because the strength of Islamic stocks is quite good.
PENERAPAN APLIKASI QUIZIZZ PADA PESERTA DIDIK KELAS XI MIPA 3 UNTUK MENINGKATKAN HASIL BELAJAR EKONOMI MATERI APBN DAN APBD DI SMAN 1 NGORO Ngundiati, Nuryatim; Muhammad Basir; Riza Yonisa Kurniawan
Edunomic : Jurnal Ilmiah Pendidikan Ekonomi Fakultas Keguruan dan Ilmu Pendidikan Vol 11 No 2 (2023): EDISI SEPTEMBER
Publisher : FKIP Unswagati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33603/ejpe.v11i2.11

Abstract

Economics learning aims to equip students with knowledge. With this goal, students are expected to be able to better understand each material taught as one of the provisions in their lives. However, in reality there are many students who have difficulty understanding the material taught in class, especially on APBN and APBD material. This is due to the lack of enthusiasm of students in teaching and learning activities. The lack of use of good learning methods also makes the classroom atmosphere monotonous and boring so that, it is revealed that the learning that has been taking place so far students are sleepy by putting their heads on the table, joking with their friends, and when the evaluation is carried out using paper tests students copy their friends' answers. So through this action research, researchers want to improve students' learning outcomes in economics learning, especially on APBN and APBD material by implementing the Quizziz application. The research subjects were class XI MIPA 3 students at SMAN 1 Ngoro, Ngoro sub-district, Mojokerto district for the 2022/2023 academic year, totaling 36 students. From the results of the learning activities that have been carried out for two cycles, and based on all the discussions and analyzes that have been carried out, it can be concluded as follows: Economic learning on APBN and APBD material with the application of the Quizizz application has a positive impact on student learning outcomes in class XI MIPA 3 SMAN 1 Ngoro, Ngoro sub-district, Mojokerto district for the 2022/2023 academic year. This is based on the post test scores which continue to increase from the first to the second cycle. This is evidenced by the increasing number of students who achieved KKM, the first cycle was 76.5% and the second cycle was 93%, an increase of 16.5%. This success was obtained by implementing the Quizizz application. By giving multiple choice questions to students through the Quizizz application, the questions will appear randomly on each student's screen so that the evaluation carried out can be purely according to the ability of the students