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APPLICATION OF SNOWBALL THROWING TO IMPROVE THE LEARNING OUTCOMES OF SOCIAL SCIENCE (IPS) GEOGRAPHY OF STUDENTS IN GRADE VIII C MUHAMMADIYAH 1 JUNIOR HIGH SCHOOL SUKOHARJO IN THE ACADEMIC YEAR 2017/2018 Andriyah Nurhidayati; Agus Sudargono; Pranichayudha Rohsulina
Journal of Geography Science and Education Vol 1, No 1 (2019)
Publisher : Universitas Veteran Bangun Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32585/jgse.v1i1.269

Abstract

This study aims to improve the learning outcomes of IPS geography through Snowball Throwing cooperative learning methods for students in grade VIII C Muhammadiyah 1 junior hihg school Sukoharjo in the academic 2017/2018. This from of research is classroom action research conducted in two cycles each cycle consisting of two meetings, with four stages of research : Planning, Implementation, Observation and Reflection The subjects of this research were VIII C grade students of Sukoharjo Muhammadiyah 1 Junior High School in the academic year of 2017/2018. With a total pf 21 students. Data collection techniques used were observation, interviews, tests and documentation. The data analysis used in this research was qualitative deaccriptive analysis.The results of this study are to improve the learning outcomes of geography ips social science.This is shown in the learning outcomes of students before and after applying Snowball Throwing model cooperative learning, namely the learning outcomes of students who get KKM scores of 38,09 % increases to 52,38 % in cycle 1 and another increases in cycle 2 to 86,70 % from before. Based on the results of this study it can be concluded that with application of Snowball Throwing Cooperative learning model can improve learning outcomes of IPS geography for students in class VIII C Junior High School Muhammadiyah 1 Sukoharjo in the academic year 2017/2018.
AGRICULTURAL LAND SUPPORT FOR FOOD IN GROGOL IN 2018 Nurlia Miftakhul Khasanah; Agus Sudargono; Muh. Husyain Rifai
Journal of Geography Science and Education Vol 3, No 1 (2021)
Publisher : Universitas Veteran Bangun Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32585/jgse.v3i1.1517

Abstract

Research on the carrying capacity of agricultural land for food is very important to do to determine the extent of the ability of the land to support the fulfillment of food needs of the population in an area. One of the problems in Grogol Subdistrict, Sukoharjo Regency is the tendency of land conversion that does not pay attention to production land for agriculture in order to meet the food needs of the population. This research includes 1 district which consists of 14 villages. The data used is secondary data taken from the Central Bureau of Statistics and the Agriculture Office of Sukoharjo Regency. The method used to determine the level of carrying capacity of agricultural land for food crops with the combined concept of the theory of Odum, Cristeiler, E Howard and Issard. The results showed that overall based on data in 2018 the carrying capacity of agricultural land for food in Grogol District was still low. This shows that the Grogol District area has not been able to be self-sufficient in food and has not been able to provide a decent life for its residents. Therefore, it is necessary to make certain efforts to increase the carrying capacity of food agriculture land in this area, for example by involving the population and utilizing the remaining vacant land.
THE DISTRIBUTION OF BATIK INDUSTRY TOWARD SOCIETY INCOME IN KENEP VILLAGE SUKOHARJO SUB DISTRICT SUKOHARJO DISTRICT 2018 Try Solekah Dewi; Agus Sudargono; Pranichayudha Rohsulina
Journal of Geography Science and Education Vol 1, No 1 (2019)
Publisher : Universitas Veteran Bangun Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32585/jgse.v1i1.271

Abstract

This study aims to know : 1) the influence of Batik industry on society income in Kenep Village, 2) the distribution of Batik Industry in Kenep Village. This study used qualitative descriptive method and sampling population for the sampling method. The data collection method in this research is through field observation, interview, and questionairre documentation while the data analyse method used frequency table, cross table analysis, map analysis, and qualitative descriptive analysis. This study found that the majority of Batik Industry owners was dominated by woman in the age range 15-64 years old and mostly they have already married. Besides, mostly of them were graduated from Junior High School. Batik Kedunggudel is an inheritance industry that produces written, stamp, and printing Batik. The market range of Batik Kedunggudel in Kenep Village includes Java, Sulawesi, and Kalimantan Island. The marketing method of Batik Kedunggudel is : using online application and shipping service. The majority of labors of this industry is dominated by man. This industry has capital business around <Rp.51.000.000 with average income around <Rp.10.000.000 each month, while the labor obtain Rp.1.500.000 as their salary per month, not including wholesale salary.
UTILIZATION OF LAND IN THE RIVER BORDER AREA IN GROGOL SUB-DISTRICT SUKOHARJO DISTRICT IN 2018 Munandar Cahya Santoso; Agus Sudargono; Talitha Rahmawati
Journal of Geography Science and Education Vol 2, No 2 (2020)
Publisher : Universitas Veteran Bangun Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32585/jgse.v2i2.1352

Abstract

Utilization of land in the river border area in Grogol Sub-District, Sukoharjo District in 2018. The purpose of this research is to : (1) Knowing the Land Use of River Border Areas in Grogol sub-district; (2) Knowing the types and characteristics of buildings that dominate in the River Border Area, Grogol Sub-District in 2018; (3) Knowing the Suitability of River Border Area Land Use in Grogol Sub-District in 2018 with River Border Regulations. This research uses google earth remote sensing image interpretation method with Quickbird satellite imagery, which describes and knows land use, types and characteristics of buildings and the suitability of land use with boundary regulations. The data collection technique used is through interpretation of satellite imagery, direct field observation. The data analysis technique used was data reduction, data presentation, drawing conclusions / verification. The results of this study are : (1) Utilization of land in the river border area in Grogol Sub-District, Sukoharjo District in 2018, that is Bengawan Solo and Kali Samin rivers consisting of 5 land uses, that is Rice Fields, Garden, House, Empty land, and Factory. (2) The type of land use for house buildings with the characteristics of permanent buildings is more dominant. (3) Most of the land use is in accordance with the Regulation of the Minister of Public Works and Housing Number 28 / PRT / M / 2015, because the use of building land in the river border area in Grogol Sub-District is only about 25 percent or about 42 hectares of the 168 hectares of the river border area in Grogol Sub-District in 2018.
DENSITY OF BUILDINGS IN GROGOL DISTRICT SUKOHARJO DISTRICT 2018 Deni Anggono; Agus Sudargono; Muh. Husyain Rifai
Journal of Geography Science and Education Vol 3, No 1 (2021)
Publisher : Universitas Veteran Bangun Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32585/jgse.v3i1.1514

Abstract

The objectives of this study were to: (1) determine the number of buildings in Grogol District, Sukoharjo Regency; (2) anlaysis the building density in Grogol District, Sukoharjo Regency. This study uses remote sensing with the Visual Quickbird interpretation method obtained from Google Earth Pro, namely using interpretive elements such as hue / color, shape, texture, and location / association. Visual interpretation is used to determine the number of buildings and building density. The data collection techniques used were image interpretation and field surveys. The data analysis technique used is geographic descriptive, which describes the spatial data analysis. The results of this study were Cemani Village is the village with the highest density of buildings 96.85%, while Parangjoro is the village with the lowest density of buildings with 28.41%.