Weeds become the major thread in the agriculture system especially for rice crops. Individual density per 0,1 m could decrease 57% of dryland rice production. We aimed to determine the strategy for manage the rice wee...
Weeds become the major thread in the agriculture system especially for rice crops. Individual density per 0,1 m could decrease 57% of dryland rice production. We aimed to determine the strategy for manage the rice weeds in eco-friendly dryland as the effort to conserve the biodiversity. The methodology used is mixed method with observation and in-depth interview. The research was conducted in July – Oktober 2018, Sudimoro district, Pacitan Regency, East Java. The weeds that dominantly by important value index is Alternanthera sessilis (L.) ***. Ex DC (4,41) and Synedrella nodiflora (L.) J. Gaertner (2,84). The farmer tends to manage the weed chemically; even 100% respondent admitted the use of 42.86% chemical and mechanical to manage the weeds, meanwhile the rest 57.14% used only chemical (herbicide). To the farmers, the use of herbicide is believed as the most effective solution, it takes only few times, less energy, and more affordable than mechanic control. However, 42.86% of respondents indicated that the weed turned more resistant because even it was sprayed by herbicide, the weeds kept growing up. In the other side, the existence of pollinator insect and odonata were no longer as much as in the past time, moreover, somehow, odonata was totally disappeared. This reflection shows that the quality of ecosystem was disturbed by the use of herbicide. The management using the prior ecological principles is the best solution to conserve the ecosystem. This one can be gained through combining mechanical and biologycal management.
As far as the fast-growing world of science education is concerned, the goal of teaching is not merely how to make students understand the key concepts in science, but it is also to prepare students to accomplish the ...
As far as the fast-growing world of science education is concerned, the goal of teaching is not merely how to make students understand the key concepts in science, but it is also to prepare students to accomplish the prerequisite of higher order thinking skills, i.e. scientific reasoning. It covers problem-skill and reasoning abilities, from gathering to revising hypothesis, as the manifestation of knowledge change and knowledge achievement processes obtained by inquiry activities. Therefore, studies on exploring students’ scientific reasoning have magnetized experts in science education. Herein, guided inquiry model was conveyed to investigate the scientific reasoning of students in junior high school on the topic of pressure. The model was implemented for three consecutive meetings. The analysis was based on the students’ answers on 10 two-tier multiple choice questions and the questions comprised of 7 scientific reasoning indicators. After implementing the guided inquiry model and conducting the pretests and posttests in the classroom with 32 students, some important findings are found as follows: (1) increased scores of students’ tests are observed for each scientific reasoning indicator and each question and (2) every syntax of the guided inquiry provides an uplift to students’ scientific reasoning ability. The detailed evaluation of each two-tier question and indicator is described in this present paper.
作者:
S MaryatiS ErakuM KasimGeography Education Study Program
Department of Earth Science and Engineering Faculty of Mathematics and Natural Sciences Universitas Negeri Gorontalo 96128 Indonesia Engineering Geology Study Program
Department of Earth Science and Engineering Faculty of Mathematics and Natural Sciences Universitas Negeri Gorontalo 96128 Indonesia
Indonesia is a country prone to natural disasters that are influenced by natural factors and human factors. Natural disasters that commonly occur in Indonesia are floods, sea tides, landslides, earthquakes, volcanic e...
Indonesia is a country prone to natural disasters that are influenced by natural factors and human factors. Natural disasters that commonly occur in Indonesia are floods, sea tides, landslides, earthquakes, volcanic eruptions, hurricanes, and drought. Among these disasters, floods are the most frequent natural disasters in various parts of Indonesia. During 2015 there was 1732 incidence of disasters in Indonesia, 92.67% of the disasters are landslides, tornado, and flood (Indonesian National Disaster Management Agency – BNPB, (2016). Refer to BNPB (2018), during 2017, 979 incidences of flood disaster occurred in Indonesia where 2.518.578 people were affected by the flood disaster. Considering that flood is a common disaster in Indonesia, people should have flood preparedness. This research was conducted at the estuary of Bone River Gorontalo Province. The Bone River is one of the longest rivers in Gorontalo Province that cross Bone Bolango Regency and Gorontalo City. There are many communities are living in river estuaries that belong to densely populated areas, so this research is very important to understand perception and adaptation strategy of society to flood disaster. This research was conducted by distributing questionnaires to the community and analyzed quantitatively. The results show that most respondents know that they live in flood-prone areas, floods can cause various impacts, and floods can be prevented and minimized. The research result is expected to be useful in the decision-making process for decreasing flood disaster risk at the estuary of Bone River Gorontalo Province.
The mechanical strength of pulp capping material based on carbonate apatite and silica calcium-phosphate composite (CO3Ap-SCPC) is one of the key factors for the success of the material in protecting the vitality of t...
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The objective of this research was to analyze integrated geospatial data using MODIS Satellite data and field data observation to the determination of potential fish area. This study applied in Makassar Strait 118...
The objective of this research was to analyze integrated geospatial data using MODIS Satellite data and field data observation to the determination of potential fish area. This study applied in Makassar Strait 118° 0' 0' E-119° 37' 0' E, 3°0'0' S – 4°45'0' S. The methods of this research was conducted using MODIS combine the depth of map waters survey direct interviews and people who participate in fishing activities monthly in January, February, March, April, May, and June. Data were analyzed by using software: Statistics, SeaDas, ENVI, and GIS. The result showed that the horizontal distribution of sea surface temperature (SST) spread evenly or divergent. The distribution of sea temperature in the coastal area was relatively warm in the sea around Barru and Pangkep was ranged 31 to 32 °C. Sea surface temperature dominates in the range of 30 - 31°C. SST correlation coefficient was 0.79 between MODIS and value of observation field data.
A declining trend of Samosir Panorusan goat population has been identified. As the Panorusan is an endemic and endangered species goat where the pure breed only 250,000 heads left, a research was conducted in order to...
A declining trend of Samosir Panorusan goat population has been identified. As the Panorusan is an endemic and endangered species goat where the pure breed only 250,000 heads left, a research was conducted in order to find the cause factors for declining trend of population from April to June 2018 in Pangururan District, Samosir Regency. The method used was multiple linier regression analysis with variabel limitations such as goat feed, disease, breeders'experience, local culture and marketing rate of productive ewe. This research was conducted by asking directly to Panorusan goat breeders. The total of 55 goat breeders was divided into 2-3 breeders/villages. The results of this study indicated that the variable of local culture was significantly as a dominant factor that causing a declining trend of Samosir Panorusan goat population.
The Southern Coast of West Java Province in the Java Islands is one of prone and exposed area to tsunami hazard. It has about 428 kilometers coastline length, covering 5 administrational regencies (i.e. Sukabumi, Cian...
The Southern Coast of West Java Province in the Java Islands is one of prone and exposed area to tsunami hazard. It has about 428 kilometers coastline length, covering 5 administrational regencies (i.e. Sukabumi, Cianjur, Garut, Tasikmalaya, and Pangandaran). It is a strategic area that support many economic activities including tourism, fisheries, electricity power plants, agricultures, markets as well as social factors such as coastal villages, schools and other public facilities. The existence of this strategic area is threatened by the potential for a tsunami disaster mainly from megathrust along the Southern Coast of Java Island. On 2006, a tsunami earthquake of M7.7 occurred off Pangandaran Regency with tsunami height of 5-8 meters and inundated about 500 meters along southern coast of West and Central Java Province. The tsunami caused more than 600 casualties and damage to buildings, public facilities and insfrastructure. Yet, the Indonesia National Earthquake Source and Hazard Map suggest a bigger threat of a plausible M8.7 – M9.2 megathrust earthquake off Java island. This research aims to analyze and map potential areas affected by the tsunami in the South Coast of West Java Province based on numerical modelling carried out with Cornell Multi-grid Coupled Tsunami Model (COMCOT) v1.7 based on the several megathrust earthquake scenarios in southern off West Java. The results of tsunami modelling show that the highest impact is generated in the Sunda Straits & West Java - Central Java Megathrust Scenarios with highest tsunami inundation and the fastest travel time occurred in Cianjur Regency with 26,7 meters height and estimated arrival time of tsunami wave approximately 10 minutes after the mainshock, while the farthest inundation distance is estimated in Sukabumi Regency about 5.8 kilometers from the coast due to existence of river.
This paper presents a case study of reconstructing past landslide failure models in a napal geological formation by undertaking a series of geoelectrical tomographies and geotechnical bor-SPT surveys. study area is lo...
This paper presents a case study of reconstructing past landslide failure models in a napal geological formation by undertaking a series of geoelectrical tomographies and geotechnical bor-SPT surveys. study area is located in the National Artery Road 135 Kilometres, Majene – Mamuju, West Sulawesi. Geological formation found in the area is Napal Pambauang Formation. Massive ground movement is obviously detected in the area, and several landslide events have been occured in the last 10 years. In order to derive an effective technnique of mitigating the landslide in the area, past landslide failure models are needed to reconstruct. Therefore, 2D geoelectric tomographies survey combined several geotechnical bors were undertaken. A Framework of geophysics and geotechnical investigations was developed and implemented. The results show that slope failure models can be mapped, following unique patterns in the subsurface resistivity models. The finding slope failure models are well agreement with successive scarp patterns founded in the slope area. Past and recent landslides and future landslide are derived and this can be employed to design effective landslide mitigation strategies.
This research is about smooth support vector machine (SSVM) and Decision Tree in data mining. Many researchers conduct and develop methods to improve the accuracy and classification of data on good results. This resea...
This research is about smooth support vector machine (SSVM) and Decision Tree in data mining. Many researchers conduct and develop methods to improve the accuracy and classification of data on good results. This research was conducted by conducting an experiment on STMIK Neumann Medan student data. In this study, it was concluded that Decision Tree performance is better than SSVM, Decision Tree gets very good results that promise to help find the best students to get scholarships. This study is better than SSVM. The training process has a difference of 11.04% and the testing process is 10.08% with each Accuracy.
Raspberry Pi is a mini-computer that is provided to carry out activities quickly and precisely, but Raspberry Pi was created to not be able to do the real-time system with the support of Windows 10 IoT operating syste...
Raspberry Pi is a mini-computer that is provided to carry out activities quickly and precisely, but Raspberry Pi was created to not be able to do the real-time system with the support of Windows 10 IoT operating system, so the real-time system can be done on Raspberry Pi. The real-time applied in the application needs to be tested with the Nyquist theory. The purpose of this study was to get real-time system measurements available on Windows 10 IoT. This test is done using the Nyquist theory by calculating the results of measurements on mp3 streaming performed on Windows 10 IoT.
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