Increasing Community Knowledge of Geothermal Potential and Development
Geothermal is a source of heat originating from within the earth. Geothermal energy is a flexible energy resource that can be used for purposes in many conditions (Glassley, 2010). Geothermal energy can be utilized, directly or indirectly. Direct use such as for heating, tourism, health, fisheries and agriculture. Utilization indirectly is for the power plant (Manyoe, 2019). Indonesia's geothermal potential is one of the largest in the world. Indonesia's large geothermal potential is indicated by the concentration of high temperature geothermal resources. Indonesia's geothermal energy potential is estimated at 28,617 MW. Indonesia's geothermal energy potential is around 40% of the world's geothermal potential (Bina et al, 2018). Indonesia is committed to reducing greenhouse gas emissions by 29% by 2030. One of the efforts is to accelerate the development of renewable energy (Direktorat Panas Bumi, 2017). Geothermal utilization in Indonesia is carried out directly or indirectly. Geothermal utilization or geothermal development in Indonesia is supported by exploration studies and further research. Exploratory research is carried out by means of a geological survey (Manyoe and Bahutalaa, 2017; Tolodo et al., 2019), geophysics survey (Manyoe, 2016; Manyoe et al., 2018, 2015a, 2015b; Manyoe and Hutagalung, 2020), and geochemistry survey (Suleman and Angsari, 2005). Geothermal, besides having the potential that can be developed for direct and indirect use, has other potentials contained in it, namely disasters. This shows that there is a need for efforts to increase community knowledge regarding potential geothermal resources and potential disasters in geothermal areas.
Manyoe, I. N. (2021). Increasing Community Knowledge of Geothermal Potential and Development dalam Community Service in The Midst of the COVID-19, Rahmat A. & Manurung, R.T. (Eds) (Novateur Publication, India).
Remote Sensing Analysis of Lineaments using Multidirectional Shaded Relief from Digital Elevation Model (DEM) in Olele Area, Gorontalo
The Gorontalo fault zone is an active fault that crosses Gorontalo Province with a movement of about 11 mm/year. The existence of this fault zone affects the morphological lineaments and offsets along its path and increases the potential of geological disaster hazards. The Olele area is located in the Gorontalo fault zone that makes it potential to landslide disaster. This study aims to analyze the lineaments of the Olele area and its surroundings. The results of this analysis will help to determine the geological structures distribution pattern that develops in the study area and its impact on the mitigation of landslide disasters in the study area. This study uses a spatial analysis method using Digital Elevation Model (DEM) image to analyze slope and lineaments data in the study area. The results of the analysis will be correlated with regional geological structures and give recommendations for geological disaster mitigation that can be implemented. The results showed that the slope class in the study area was dominated by the range of 16-35° and even in several places with a slope of 35-55°. The results of the extraction and processing of lineaments data get 203 data. The lineaments direction is relatively NNW - SSE. This direction indicates that mostly the morphologies are influenced by the existence of the Gorontalo fault zone. The existence of the Gorontalo fault zone makes this area prone to landslide disasters in the case of Gorontalo fault movement. Some prevention recommendations are to increase the slope stability level.
Abduh, A. G., Usman, F. C. A., Tampoy, W. M., & Manyoe, I. N. (2021, February). Remote Sensing Analysis of Lineaments using Multidirectional Shaded Relief from Digital Elevation Model (DEM) in Olele Area, Gorontalo. In Journal of Physics: Conference Series (Vol. 1783, No. 1, p. 012095). IOP Publishing.
Education and Learning Geology: Mobile Learning System for Geological Data Collection in the Field
Education is a socially regulated process and is a transfer of experience that occurscontinuously from generation to generation (Nazlev, 2017). Learning is a reflective activity thatallows students to take advantage of previous experiences to understand and evaluate currentconditions so that they can shape future actions and formulate new knowledge (Watkins, 2002).National education has the aim of developing capabilities and shaping the dignifiedcharacter of the nation's civilization in order to educate the nation's life (UU Sisdiknas Tahun 2003).This goal means that the success of education in Indonesia can be assessed from the learningoutcomes that produce skills, character, intelligence in students. The education and learning processmust have an orderly system and curriculum so that this goal can be achieved.Each field of science has a learning system to achieve curriculum goals, according to the levelof education. In earth science and technology education, such as geology, education and learning notonly by delivering material in the classroom, but also needing a learning process such as laboratoryand field practicum. Learning can be done with several media such as props, pictures, mock-ups, andtechnology applications. The learning media are a physical means of delivering learning material (Briggs, 1977) or as information that can be used for educational purposes (Schramm, 1977). Culture, technology, and the economy affect a country's education system (Naziev, 2017). Geology education and learning entering the digital era have also been influenced by the presence ofmobile learning-based technology applications
Manyoe, I.N., Napu, S.S.S., Suma, M.D., Biya, N.S.F. & Taslim, I. (2021). Education and Learning Geology: Mobile Learning System for Geological Data Collection dalam The Field in Research on Cyber Pedagogy in The Covid 19, Rahmat A. & Choube, P.R. (Eds) (Novateur Publication, India).
Analisis Parameter Gempabumi Dengan Struktur Geologi di Daerah Asparaga, Gorontalo
Gorontalo is an area located in the North Arm of Sulawesi which has a complex geological structure as a result of the submergence of the Sulawesi Sea and East Sangihe so that this area is considered an earthquake-prone area. The existence of the regional structure and the mapping of the earthquake point distribution is interesting to be studied more deeply because it affects seismic activity in the area. The purpose of this study is to analyze earthquakes in the Asparaga area based on their depth and magnitude and to relate them to the geological structures found in the study area. The earthquake data used were obtained from USGS. Satellite image data used is the SRTM satellite image. Earthquake data is mapped to produce depth maps, magnitude maps, and earthquake zoning maps. Lineament data were processed using a rosette diagram. Lineament can reflect the morphology observed on the earth's surface as a result of the activity of geological forces. The results showed that the Asparaga area had shallow earthquake depths and moderate to large magnitudes. The focus of the earthquake was right on the path traversed by the geological structure and its relatively northwest-southeast direction. The geological structure in the research location is the epicenter of the earthquake because it is crossed by regional geological structures.
Madusila, R. S., Manyoe, I. N., & Male, C. C. (2021). Analisis Parameter Gempabumi Dengan Struktur Geologi Di Daerah Asparaga, Gorontalo. Jambura Geoscience Review, 3(1), 1-8.
Calculation of Limestone Reserves in the East Biluhu Region, Gorontalo Province
Indonesia is a country that has a lot of natural resources. Natural resources are widely used in various areas of human life. One of the resources that is often used is limestone. Limestone is a non-metallic mining material that has considerable potential and reserves and spreads across almost all parts of Indonesia, but the exact amount of reserves is not yet known. The research aims to predict the amount of packstone-type limestone reserves using geophysical methods. This research was conducted using the geoelectric method with the Schlumberger configuration, where the resistivity geoelectric data obtained variations in resistivity and layer thickness. From this data, it is then interpreted to determine the type of rock in the surface area, and making a 3D model to determine the distribution of limestone in the study area and to calculate the amount of limestone reserves in the study area. Based on the research results, it is known that the research area is dominated by packstone with a resistivity value of 16.6 ohm.m - 1.3x105 ohm.m. The calculation result of packstone reserves in the study area is 73,629,403 tons.
Annisa, W., Kasim, M., & Manyoe, I. N. (2021). Calculation of Limestone Reserves in the East Biluhu Region, Gorontalo district, Gorontalo Province. Journal of Earth Energy Science, Engineering, and Technology, 4(2).