6 research outputs found
Modelling of Transformation Vegetation Index Using Landsat 7 ETM+ (Enhanched Thematic Mapper) Imagery for the Spatial Analysis of Production Estimation of Rice (Case Study in Sragen Regency, Central Java Province)
Full text linkAs an agricultural country, the agricultural sector in Indonesia is one of the important sectors of the construction sector in the main development. One of the agricultural commodities most important food in Indonesia is a rice, which is the staple food for more than 95 percent of the population.Based on the importance of rice as a staple food most of the people of Indonesia, the volume of rice production every year should be controlled, through the estimation of production. Various methods have been developed to estimation production of rice, one of which by using a remote sensing method. Through the analysis of satellite imagery can be reduced the levels of plant greenness (vegetation index) which can be used to estimate the age of the rice crop and productivity. Using the satellite imagery, acquisition of rice production data can be performed quickly and accurately, making it more efficient in terms of time, cost, and effort. The aims of the study are : (1). To create a model of the transformation vegetation index is most suitable used as the basis in production estimation of rice, (2). To asses the ability of Landsat 7 ETM+ imagery in the extraction data of rice fields area which is used for a basis for estimation production of rice.
This research is a remote sensing research . The method of data collection used a digitally image interpretation, field observations, interviews, and review of documentation. The main data source is Landsat 7 ETM+ imagery, which is used for extraction rice fields data and production estimation of rice. From the Landsat 7 ETM + imagery derived of vegetation index information, information of land cover and land use as a basis for estimation production of rice. The transformation of vegetation index method used in this study is the transformation of NDVI and SAVI. Forms of research is descriptive qualitative analysis Productivity of rice data derived from measurements field. The data analysis used the spatial descriptions using analysis of Geographic Information Systems(GIS).
Results of this research show that : (1). Based on the results of correlation between the productivity of rice with the brightness value, the correlation coefficient (r) between variables NDVI with productivity is 0.844 and the value of r ²= 0, 712, while the value of the correlation coefficient (r) between variables SAVI with productivity is 0.841 and the value of r ² = 0.707, so between SAVI and NDVI variables with productivity variables have positive correlation and strong correlation. Thus, the transformation of NDVI and SAVI indices can be used as the basis for estimation production of rice in the research area. The transformation of vegetation index NDVI is more suitable model, because it has value of correlation result is higher when compared to the value of the correlation transformation of vegetation index SAVI. (2), Based on the interpretation of test matrices, obtained accuracy of image interpretation of Landsat 7 ETM + is 90.22%. With reference to the standard interpretation of precision, accuracy test results are included in both categories, and meet the standards of accuracy of interpretation Thus, the Landsat 7 ETM+ imagery have a high accuracy for the extraction of rice fields of data required for estimation production of rice so an alternative method that can be used to estimate of rice production
Sasi and Its Relation to the Economic Development and Marine Preservation (Case Study: Raja Ampat)
Full text linkRaja Ampat, West Papua, Indonesia, is one among many marine tourism spots such as Derawan, Bunaken, Wakatobi and Tiga Gili. Raja Ampat is known for its diversity, rich coral reefs and marine resources. Raja Ampat’s characteristic is not only based on their beauty of marine natural resources but also its tradition, culture and living indigenous law. The existing indigenous law in Raja Ampat is called “SASI”. This tradition and living law has an important relation in sustaining tourism activities and the variety of marine activities that can be carried out in the ocean, particularly in marine protected areas on Raja Ampat. This writing is meant to analyze Sasi; to examine Sasi and its relation to economic development; and to analyze the impact of Sasi’s implementation on marine preservation for marine sustainability. It appears that Sasi’s implementation as the indigenous living law on Raja Ampat offers positive advantages including restoration and livelihood of the marine environment (incorporating with their marine natural resources). Therefore, the existence of Sasi on Raja Ampat is able to maintain the economic progress and marine environment sustainability
PEMANFAATAN CITRA DIGITAL LANDSAT 7 ETM+ DAN SISTEM INFORMASI GEOGRAFIS UNTUK KAJIAN SPASIAL ESTIMASI PRODUKSI PADI KABUPATEN SRAGEN, PROVINSI JAWA TENGAH
No full textBased on the importance of rice as a staple food most of the people of Indonesia,
the volume of rice production every year should be controlled, through the estimation of
production. Various methods have been developed to estimation production of rice, one
of which by using a remote sensing method. The aims of the study are : (1). To determine
a suitable the transformation of the vegetation index is used as the base for production
estimation of rice, (2). To asses the ability of Landsat 7 ETM+ imagery in the extraction
data of rice fields area to estimate the production of rice, and (3). To find our the spatial
distribution of production estimation of rice in Sragen regency based on transformation of
vegetation index of Landsat 7 ETM+ imagery and analysis of Geographic Information
Systems (GIS).
The main data source is Landsat 7 ETM+ imagery recorded on 30 August 2002,
which is used for extraction rice fields data and production estimation of rice. Land cover
maps and landforms maps wich derived from Landsat 7 ETM+ imagery is used as the
basis for production estimation of rice. Transformation of vegetation index method used
in this study is the transformation of NDVI and SAVI. Productivity of rice data derived
from measurements field. The data analysis used the spatial descriptions using analysis of
Geographic Information Systems(GIS).
Results of this research show that : (1). Based on the results of correlation
between the productivity of rice with the brightness value, the correlation coefficient (r)
between variables SAVI with productivity is 0.841 and the value of r ² = 0.707, while the
value of the correlation coefficient (r) between variables NDVI with productivity is 0.844
and the value of r ²= 0, 712, so between SAVI and NDVI variables with productivity
variables have positive correlation and strong correlation. Thus, the transformation of
NDVI and SAVI indices can be used as the basis for estimation production of rice in the
research area. (2), Based on the interpretation of test matrices, obtained accuracy of
image interpretation of Landsat 7 ETM + is 90.22%. Thus, the Landsat 7 ETM+ imagery
have a high accuracy for the extraction of rice fields of data required for estimation
production of rice. The accuracy of test results obtained at 89.063%, thus the Landsat
ETM+ imagery have a high accuracy for the production estimation of rice, so an
alternative method that can be used to estimate rice production. (3). Based on the results
of the analysis of Landsat 7 ETM +, the estimated production of rice in Sragen regency of
125,110.11 tons for a single harvest, or amounting to 375.060,45 tons in 2002. The
highest rice production found on alluvial plains with volcanic material landforms, on the
foot slope landforms, and alluvial plains with sedimentary material landforms. Subdistrict
Sidoharjo, Ngrampal, Sragen and Plupuh a district that has a substantial production of
rice, while the district that has a relatively sma ll rice production is Subdistrict Jenar,
Tangen, and Miri
WEBGIS-BASED TOURISM POTENTIAL MAPPING USING QUANTUM GIS (QGIS)
Full text linkCurrently, technology plays an important role in the digital information era. Digital mapping based on WebGIS is one form of Geographic Information System technological output that can impact the development of the tourism sector. The limitation of information sources on tourist attractions is one of the obstacles to tourism development in Indonesia. Therefore, the presence of WebGIS-based tourist attraction mapping can increase the availability of digital information that can impact increasing tourist visits. This research aims to analyze the potential of tourist attractions, perform WebGIS-based mapping of tourist attractions, and analyze the strategies for developing the potential of tourist attractions in Dukuh Village. This research is conducted using a qualitative descriptive method with a geographical spatial approach. The sampling techniques used are saturated sampling to determine tourist attraction samples, purposive sampling to select informants, and accidental sampling to determine tourist samples. The analysis techniques in this study include scoring analysis and Geographic Information System. The research results indicate that there are 16 tourist attractions, consisting of 8 very potential, 6 quite potential, and 2 less potential. Based on these results, WebGIS-based mapping of tourist attractions was performed and tested by 3 media experts. The testing results show that WebGIS media has a good level of effectiveness to be used as one of the media for information and promotion of tourist attractions in Dukuh Village. To support the development of tourist attractions, strategies for developing tourist attractions were formulated and categorized into growth, diversification, and conservative strategies
SASI AND ITS RELATION TO THE ECONOMIC DEVELOPMENT AND MARINE PRESERVATION (CASE STUDY: RAJA AMPAT)
Full text linkRaja Ampat, West Papua, Indonesia, is one among many marine tourism spots such as Derawan, Bunaken, Wakatobi and Tiga Gili. Raja Ampat is known for its diversity, rich coral reefs and marine resources. Raja Ampat’s characteristic is not only based on their beauty of marine natural resources but also its tradition, culture and living indigenous law. The existing indigenous law in Raja Ampat is called “SASI”. This tradition and living law has an important relation in sustaining tourism activities and the variety of marine activities that can be carried out in the ocean, particularly in marine protected areas on Raja Ampat. This writing is meant to analyze Sasi; to examine Sasi and its relation to economic development; and to analyze the impact of Sasi’s implementation on marine preservation for marine sustainability. It appears that Sasi’s implementation as the indigenous living law on Raja Ampat offers positive advantages including restoration and livelihood of the marine environment (incorporating with their marine natural resources). Therefore, the existence of Sasi on Raja Ampat is able to maintain the economic progress and marine environment sustainability
PENGGUNAAN MODEL PEMBELAJARAN QUANTUM LEARNING DENGAN PETA TEMATIK UNTUK MENINGKATKAN MINAT BELAJAR DAN PEMAHAMAN AREA RELATIONSHIP CONCEPT PADA MATERI POKOK MITIGASI DAN ADAPTASI BENCANA PESERTA DIDIK KELAS X IIS 2 SMA N 1 PURBALINGGA TAHUN AJARAN 2014/2015
Full text linkPENGGUNAAN MODEL PEMBELAJARAN QUANTUM LEARNING DENGAN PETA TEMATIK UNTUK MENINGKATKAN MINAT BELAJAR DAN PEMAHAMAN AREA RELATIONSHIP CONCEPT PADA MATERI POKOK MITIGASI DAN ADAPTASI BENCANA PESERTA DIDIK KELAS X IIS 2 SMA N 1 PURBALINGGA TAHUN AJARAN 2014/2015 Anugrah Ramadlan 1* Djoko Subandriyo & Rahning Utomowati 2 1 Mahasiswa S1 Pendidikan Geografi FKIP Universitas Sebelas Maret Surakarta 2 Dosen Program Studi Pendidikan Geografi, J.P.IPS, FKIP, UNS Surakarta, Indonesia *Keperluan Korespondensi, HP: 085647555074, e-mail: [email protected] ABSTRACT Anugrah Ramadlan. USE OF QUANTUM LEARNING MODEL WITH THEMATIC MAP TO INCREASE INTEREST OF LEARNING AND STUDENT’S AREA RELATIONSHIP CONCEPT UNDERSTANDING ON THE SUBJECT MATTER DISASTER MITIGATION AND ADAPTATION CLASS X IIS 2 PURBALINGGA 1 SENIOR HIGH SCHOOL AT 2014/2015 ACADEMIC YEAR. Thesis, Surakarta : Teacher Training and Education Faculty, Sebelas Maret University, May 2015. The aim of this research are (1) to determine whether the quantum learning with thematic map can increase student’s interest of learning class X IIS 2 Purbalingga 1 Senior High School on the subject matter mitigation and adaptation, (2) to determine whether the quantum learning with thematic map can increase student’s area relationship concept understanding class X IIS 2 Purbalingga 1 Senior High School on the subject matter mitigation and adaptation. The research is Classroom Action Research (CAR) with collaborative approach and Kemmis & Mc Taggart model. This model has been selected because of the reflection cycle it has owned. The research has been done in two cycles which each cycle consist of planning, action, observation, and reflection. Subject of research is students class X IIS 2 Purbalingga 1 Senior High School which amount to 38 students. Technique of data collecting is observation, test, and documentation. There are 2 validity are used in this research. The 2 validity are content validity and construct validity .Data analysis uses technique of qualitative analysis. The result of this research shows as follow : (1) by using quantum learning with thematic map on the subject matter disaster mitigation and adaptation can increase interest of learning student X IIS 2 Purbalingga 1 Senior High School at 2014/2015 academic year until 13%. This condition can be known with result of cycles 1 that show 71% student’s interest of learning in the best category and then increase until 84% in second cycles, (2) by using quantum learning with thematic map on the subject matter disaster mitigation and adaptation can increase student understanding of area relationship concept student X IIS 2 Purbalingga 1 Senior High School at 2014/2015 academic year until 25%. This condition can be known with result of cycles 1 that show 57% student in the class get score that higher than KKM and then increase until 82% in second cycles. Keyword : Quantum Learning, Thematic Map, Interest Of Learning, Area Relationship Concept Understanding, Disaster Mitigation and adaptation
