Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal JURNAL EKSAKTA PENDIDIKAN (JEP) IIJSE
Ririanti Ririanti
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Chemistry Economics, Econometrics & Finance Education Mathematics Physics Other

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

Found 2 Documents
Search

 1 
Efektivitas Penggunaan Modul Larutan Penyangga Berbasis Discovery Learning terhadap Hasil Belajar Siswa Kelas XI MIA SMAN 7 Padang Yerimadesi Yerimadesi; Ananda Putra; Ririanti Ririanti
JURNAL EKSAKTA PENDIDIKAN (JEP) Vol 1 No 1 (2017): JEP : Jurnal Eksakta Pendidikan
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jep/vol1-iss1/29

Abstract

Quasi experiment research with randomized control posttest group only design was carried out to determine the effectiveness of using a discovery learning based module on students learning outcome. Grade XI MIA-1 to MIA-4 students academic year 2015/2016 in SMAN 7 Padang became population of this study. Through cluster sampling technique, grade XI MIA-1 and grade XI MIA-4 were chosen as experiment and control classes respectively. The experiment class was taught using discovery learning based module in buffer solution topic while the control class was taught the same topic conventionally without the module. Research instrument used was cognitive learning outcome test with multiple choice form. Data showed that the mean test score of experiement class (78.84) was higher than that of control class (71.09). Normality and homogenity test proved that both classes were homogeneous and normally distributed. T-test, as data analysis taken, showed that t-count (3,51) is bigger than t-table (1.67). Thus, it could be concluded that students’ cognitive learning outcome in experiment class is significantly higher than that in control class. The use of discovery learning-based module in buffer solution topic was effective in increasing learning outcome of grade XI MIA students in SMAN 7 Padang.
Factors Influencing Labor Absorption in the Agricultural Sector in Central Kalimantan Province Ririanti Ririanti; Muhammad Fauzi; Sadik Ikhsan
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 8 No 1 (2025): Sharia Economics
Publisher : Universitas KH. Abdul Chalim Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/iijse.v8i3.6643

Abstract

The research objectives are 1) to describe the development of the agricultural sector workforce, regional minimum wage (UMR), gross regional domestic product (GRDP) and agricultural land area in Central Kalimantan Province by district/city in 2017-2022; 2) to analyze the influence of regional minimum wage (UMR), gross regional domestic product (GRDP) and agricultural land area on the absorption of agricultural sector workforce in Central Kalimantan Province in 2017-2022. This research method employs panel data regression analysis and secondary data collected by the Central Kalimantan Central Statistics Agency from 2017 to 2022. The analysis tool used is EViews 12. The results of the study show that the development of the workforce, UMR, GRDP, and agricultural land area in Central Kalimantan Province from 2017 to 2022 exhibited various dynamics, with each indicator displaying trends and fluctuations that reflect socio-economic conditions and policies at both the district/city level and the provincial level. Factors that influence the absorption of labor in the agricultural sector in Central Kalimantan Province based on the results of panel data regression analysis using the Fixed Effect Model are UMR which has a negative coefficient value of -0.000914, GRDP has a positive coefficient value of 3.477186 and agricultural land area which also has a positive coefficient value of 0.001264 with an R-square value obtained of 97.25% which shows that variations in labor absorption in the agricultural sector can be explained by the independent variables included in the model.
Co-Authors Ananda Putra Muhammad Fauzi Sadik Ikhsan Yerimadesi Yerimadesi