scholarly journals Perbandingan Perhitungan Luas Tanah antara Metode Trilaterasi Segitiga dengan Metode Koordinat

2020 ◽  
Vol 4 (2) ◽  
pp. 46-58
Author(s):  
Riska Hawinuti ◽  
Muhammad Fauzi ◽  
Rifanie Gazalie
Keyword(s):  
Measuring Instruments ◽  
Land Area ◽  
Coordinate Method ◽  
Calculation Data ◽  
Land Owners ◽  
Ownership Status ◽  
Mismatch Condition ◽  
Automatic Level ◽  
Area Data

Kesadaran pemilik lahan untuk melindungi status kepemilikannya terhadap ketidakcocokan keadaan bidang tanah lapangan dengan data yang ada di dokumen sertifikat mengakibatkan meningkatnya kebutuhan pengukuran ulang lahan. Penggunaan alat dengan akurasi rendah dan metode yang kurang tepat menyebabkan data luas lahan yang dihasilkan menjadi kurang akurat. Hal ini menyebabkan kebingungan pada pemilik lahan maupun pemilik lahan disekitarnya. Sehingga perlunya data pembanding antara dua alat ukur berbeda dengan metode berbeda untuk memperkaya data perhitungan luas tersebut. Tujuan penelitian ini adalah menghitung luas lahan Gedung Pejuang Veteran Banjarmasin dengan Metode Trilaterasi (pendekatan luasan segitiga dengan ketiga sisi diketahui)  menggunakan Pesawat Penyipat Datar (PPD) dan dengan Metode Koordinat menggunakan GPS. Hasil perhitungan tersebut akan dibandingkan dengan data resmi luas lahan yang diperoleh dari BPN. Pengukuran dengan PPD diperoleh luasan sebesar 10.025,476 M2 dan dengan GPS sebesar 10.100,720 M2 dimana luas resmi lahan adalah 11.183 M2. Sehingga diperoleh persentase terhadap luas resmi berturut-turut sebesar 89,65 % dengan pengukuran menggunakan PPD dan sebesar 90,32 % dengan pengukuran menggunakan GPS. Berdasarkan hasil diatas, penggunaan kedua alat tersebut kurang disarankan untuk pengukuran luas lahan secara teliti serta perlunya memastikan batas tanah akurat di lapangan sebelum pengukuran. Abstract The awareness of land owners to protect their ownership status against the mismatch condition between land percil and the data in the documents resulted the increasing need for land re-measurement. Using tools with low accuracy and improper methods causes the result of land area data less accurated. This causes confusion among land owner and its nearby. The data comparisons are needed between two different measuring instruments with different methods to enrich the area calculation data its self. This research aims to calculate the land area of ​​the Pejuang Veteran Banjarmasin Building with the Trilateration Method using an Automatic Level and the Coordinate Method using GPS. The results of these calculations will be compared with official land area data obtained from National Land Agency. Measurement with Automatic Level obtained an area of 10.025,476 M2 and with GPS is 10.100,720 M2 where the official land area is 11.183 M2. The percentage amount between the official area versus Automatic Level and GPS consecutively are 89,65 % and 90,32 %. Based on that results, the use of these tools is less recommended to detailed land measurement and its important to ensure accurate percil boundaries in the field before measurement.

A Study on Surface Material Measures for Areal Surface Texture Measuring Instruments: Measuring Conditions for the Areal Profiling

2008 ◽  
Vol 381-382 ◽  
pp. 241-244 ◽  
Author(s):  
Kentaro Nemoto ◽  
Kazuhisa Yanagi ◽  
Masato Aketagawa ◽  
D. Kanda ◽  
I. Yoshida ◽  
...  
Keyword(s):  
Surface Texture ◽  
Measuring Instruments ◽  
Surface Material ◽  
Sampling Area ◽  
Texture Parameters ◽  
Gauge Data ◽  
Auto Regressive ◽  
Areal Surface ◽  
Measurement Area ◽  
Area Data

This paper describes the software gauge data for surface texture standard using the non-causal 2D auto-regressive model (A-R model). This model can provide with 3D irregular surface topography and intentional geometrical characteristics from specified surface texture parameters. The measurement area consists of a periodical combination of the generated sampling area data. The surface roughness parameters introduced from the gauge data on a defined evaluation area can be insensitive to size and location of the evaluation area size. Adequate measuring conditions to utilize the surface material measures were investigated and then the evaluation area and sampling distance for areal profiling by a stylus instrument were clarified.

scholarly journals PERAN AGROFORESTRI KARET TERHADAP PENDAPATAN PETANI KARET DI DESA MABURAI PROVINSI KALIMANTAN SELATAN

2021 ◽  
Vol 9 (1) ◽  
pp. 244
Author(s):  
Adi Saputra ◽  
Daniel Itta ◽  
Asysyifa
Keyword(s):  
Sampling Method ◽  
Agroforestry System ◽  
Land Area ◽  
Internal Factors ◽  
Land Owners ◽  
Forestry Extension ◽  
Two Factors ◽  
Extension Agencies ◽  
Agro Forestry

The research location is in Maburai Village, Murung Pudak District, Tabalong Regency, South Kalimantan Province, rubber land that uses the rubber agroforestry system as the object of research. The purpose of this study was to analyze the role of rubber agroforestry in order to increase the income of rubber farmers. The method used in this study to find respondents is by using the Accidental Sampling method. Based on the results of the research that has been carried out, the role of rubber agroforestry is divided into 2 parts, namely, rubber plants for sale, and intercrops play a role for sale, self-consumption, and taken by land owners. The contribution from intercropping was only 4 people who sold the intercrops in the form of fruit, the largest income from the intercropping was Rp. 12,000,000 with a percentage of 19% of the total income of Rp. 63,200,000. There are two factors that affect the agroforestry system, namely internal factors based on farmers' experience, motivation to carry out the rubber agroforestry system, land area, number of plants other than rubber, and types of plants other than rubber, while external factors are the absence of support by rubber agro-forestry extension agencies in Maburai Village, and community leaders.

Reri Yulianti*, Yanciluk, Santosa Yulianto, Penyang, Erwyn

2020 ◽  
Vol 13 (02) ◽  
pp. 9-21
Author(s):  
Agrienvi
Keyword(s):  
Major Influence ◽  
Land Area ◽  
Position Location ◽  
Level Of Education ◽  
Construction Design ◽  
Land Owners ◽  
Construction Model ◽  
Correlation Design ◽  
Very High ◽  
Correlation Level

ABSTRACTRewetting program especially canal blocking (tabat) carried out by the Peat Restoration Agency (BRG) in 2017 aspart of efforts to control forest and land fires that often hit peatlands including in Kalawa Village in 2014 and 2015. Theresults of this study indicate that 7 indicators from 3 research variables for the level of land owners participation in thegroup receiving the rewetting program shows 14.28% has very strong/very high correlation (design making/constructionmodel), 42.86% has strong/high correlation (frequency of socialization, numbers of attendance, socialization method),42.86% has strong enough/high enough correlation (distance of land, placement of position/location, numbers of canalblocking). Whereas for 9 indicators from 4 research variables, the level of land owners participation in the group rejectingthe rewetting program shows 22.22% has strong/high correlation (age, land area), and 77.78% has quite strong/highenough correlation (level of education, distance of land, frequency of socialization, number of attendance, method ofsocialization, construction design/modeling, placement of position/location of canal blocking). The level of land ownersparticipation in the BRG rewetting program through canal blocking (tabat) was dominated by the medium category(36.0%) for the group receiving the program and the low category (48.0%) for the group rejecting the program. Therelatively similar characteristics of the two community groups and have a major influence on the level of land ownersparticipation are socialization efforts (frequency of socialization, numbers of attendance, socialization method), andproject implementation (design making/construction model, placement of positions/location of canal blocking).Keywords: participation; land owners; canal blocking (tabat); handel; peatland.

A bootstrap algorithm for the isotropic random sphere

1995 ◽  
Vol 27 (03) ◽  
pp. 627-641
Author(s):  
Jason J. Brown
Keyword(s):  
Random Field ◽  
Cumulative Distribution Function ◽  
Cumulative Distribution ◽  
Land Area ◽  
Sample Mean ◽  
Global Land ◽  
Strong Uniform Consistency ◽  
Bootstrap Algorithm ◽  
Isotropic Random ◽  
Area Data

Let be a real-valued, homogeneous, and isotropic random field indexed in . When restricted to those indices with , the Euclidean length of , equal to r (a positive constant), then the random field resides on the surface of a sphere of radius r. Using a modified stratified spherical sampling plan (Brown (1993a)) on the sphere, define to be a realization of the random process and to be the cardinality of . A bootstrap algorithm is presented and conditions for strong uniform consistency of the bootstrap cumulative distribution function of the standardized sample mean, , are given. We illustrate the bootstrap algorithm with global land-area data.

scholarly journals Contribution of agrosilvopastoral pattern to sustainable communities economic improvement (study in Namaa Hamlet, Pelauw Village, Haruku Island Sub-District, Central Maluku Regency)

2021 ◽  
Vol 883 (1) ◽  
pp. 012071
Author(s):  
M Sahureka ◽  
M Hadijah ◽  
H Marasabessy
Keyword(s):  
Sampling Method ◽  
Secondary Data ◽  
Land Ownership ◽  
Sustainable Communities ◽  
Land Area ◽  
Level Of Education ◽  
Agriculture Sector ◽  
Ownership Status ◽  
Level Number ◽  
Economic Improvement

Abstract The agrosilvopastoral management pattern can provide multiple benefits to integrating the agriculture sector with the interrelated forestry and livestock sectors. This research in Namaa sub-village, Pelauw Village. The research aimed to : 1) Knowing the respondent's characteristics in agrosilvopastoral management, and 2) The contribution of the agrosilvopastoral pattern to improve community's economy. This research was conducted by using the purposive sampling method, with a representation of the 20 households of farmers. Primary and secondary data were taken by observation and interviews related to respondents' income and the agrosilvopastoral pattern. The data obtained were analyzed with a quantitative approach and qualitative descriptions. The results showed that the respondents' characteristics were the factors that influenced the management of agrosilvopastoral, namely the level of education, age level, number of family members, land area, and land ownership status, while the contribution of an agrosilvopastoral for respondents was 274,882,000 / year.

scholarly journals Land, Income and Land-Use Diversification in Khyber Pakhtunkhwa Province of Northern Pakistan

2018 ◽  
Author(s):  
Siddique Baig ◽  
Syed Muhammad Jibran Shah ◽  
Bahadar Nawab Khattak
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Sample Survey ◽  
Northern Pakistan ◽  
Land Area ◽  
Land Use Pattern ◽  
Khyber Pakhtunkhwa ◽  
Land Owners ◽  
Landsat 7 ◽  
Increasing Demand

The natural and man-made landscape settings in the Khyber Pakhtunkhwa (KPK) province of Northern Pakistan have significantly changed in the last decade due to increasing demands of urbanized populace, migration, two major natural disasters, and climate change. The aim of this study is to analyze land possession, income and land-use diversification of KPK administered Charsadda district. Field data is collected through a sample survey. Furthermore, freely available Landsat 7 satellite images are used to classify land-use classes (e.g. vegetation, built-up) for two different years (e.g. 2005 and 2017) for cross-verification and comparison. The highest 45% of 80% land-owners occupy land-area between 1-10 hectares. Annually, the highest 57.5% of the total farmers / employed in-habitants of surveyed regions earn more than Rs. 100,000 or ~ $ 970 from agriculture activities. About 41.9% land-area covered by agricultural-land is transformed into built-up area since 2007, which is attributed to the increasing demand for buildings and commercial markets. The highest diversification is reported in Naguman area of Charsadda district followed by Rajjar and Niami. Population growth and huge migration of displaced persons from neighboring tribal areas are likely to be few factors which contributed to such a drastic change in land-use pattern since 2007 to 2017. Urgent attention of the policy makers, agricultural experts and society is required to minimize land degradation and to thwart further agricultural-land loss.

A bootstrap algorithm for the isotropic random sphere

1995 ◽  
Vol 27 (3) ◽  
pp. 627-641 ◽  
Author(s):  
Jason J. Brown
Keyword(s):  
Random Field ◽  
Cumulative Distribution Function ◽  
Cumulative Distribution ◽  
Land Area ◽  
Sample Mean ◽  
Global Land ◽  
Strong Uniform Consistency ◽  
Bootstrap Algorithm ◽  
Isotropic Random ◽  
Area Data

Let be a real-valued, homogeneous, and isotropic random field indexed in . When restricted to those indices with , the Euclidean length of , equal to r (a positive constant), then the random field resides on the surface of a sphere of radius r. Using a modified stratified spherical sampling plan (Brown (1993a)) on the sphere, define to be a realization of the random process and to be the cardinality of . A bootstrap algorithm is presented and conditions for strong uniform consistency of the bootstrap cumulative distribution function of the standardized sample mean, , are given. We illustrate the bootstrap algorithm with global land-area data.

scholarly journals Reri Yulianti*, Yanciluk, Santosa Yulianto, Penyang, Erwyn

2020 ◽  
Vol 13 (02) ◽  
pp. 9-21
Author(s):  
Agrienvi
Keyword(s):  
Major Influence ◽  
Land Area ◽  
Position Location ◽  
Level Of Education ◽  
Construction Design ◽  
Land Owners ◽  
Construction Model ◽  
Correlation Design ◽  
Very High ◽  
Correlation Level

Rewetting program especially canal blocking (tabat) carried out by the Peat Restoration Agency (BRG) in 2017 aspart of efforts to control forest and land fires that often hit peatlands including in Kalawa Village in 2014 and 2015. Theresults of this study indicate that 7 indicators from 3 research variables for the level of land owners participation in thegroup receiving the rewetting program shows 14.28% has very strong/very high correlation (design making/constructionmodel), 42.86% has strong/high correlation (frequency of socialization, numbers of attendance, socialization method),42.86% has strong enough/high enough correlation (distance of land, placement of position/location, numbers of canalblocking). Whereas for 9 indicators from 4 research variables, the level of land owners participation in the group rejectingthe rewetting program shows 22.22% has strong/high correlation (age, land area), and 77.78% has quite strong/highenough correlation (level of education, distance of land, frequency of socialization, number of attendance, method ofsocialization, construction design/modeling, placement of position/location of canal blocking). The level of land ownersparticipation in the BRG rewetting program through canal blocking (tabat) was dominated by the medium category(36.0%) for the group receiving the program and the low category (48.0%) for the group rejecting the program. Therelatively similar characteristics of the two community groups and have a major influence on the level of land ownersparticipation are socialization efforts (frequency of socialization, numbers of attendance, socialization method), andproject implementation (design making/construction model, placement of positions/location of canal blocking).Keywords: participation; land owners; canal blocking (tabat); handel; peatland.

scholarly journals Land, Income and Land-Use Diversification in Khyber Pakhtunkhwa Province of Northern Pakistan

2018 ◽  
Author(s):  
Siddique Ullah Baig ◽  
Syed Muhammad Jibran Shah ◽  
Bahadar Nawab Khattak
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Sample Survey ◽  
Northern Pakistan ◽  
Land Area ◽  
Land Use Pattern ◽  
Khyber Pakhtunkhwa ◽  
Land Owners ◽  
Landsat 7 ◽  
Increasing Demand

The natural and man-made landscape settings in the Khyber Pakhtunkhwa (KPK) province of Northern Pakistan have significantly changed in the last decade due to increasing demands of urbanized populace, migration, two major natural disasters, and climate change. The aim of this study is to analyze land possession, income and land-use diversification of KPK administered Charsadda district. Field data is collected through a sample survey. Furthermore, freely available Landsat 7 satellite images are used to classify land-use classes (e.g., vegetation, built-up) for two different years (e.g., 2005 and 2017) for cross-verification and comparison. The highest 45% of 80% land-owners occupy land-area between 1–10 hectares. Annually, the highest 57.5% of the total farmers / employed in-habitants of surveyed regions earn more than Rs. 100,000 or ~$970 from agriculture activities. About 41.9% land-area covered by agricultural-land is transformed into built-up area since 2007, which is attributed to the increasing demand for buildings and commercial markets. The highest diversification is reported in Naguman area of Charsadda district followed by Rajjar and Niami. Population growth and huge migration of displaced persons from neighboring tribal areas are likely to be few factors which contributed to such a drastic change in land-use pattern since 2007 to 2017. Urgent attention of the policy makers, agricultural experts and society is required to minimize land degradation and to thwart further agricultural-land loss.

DOI: https://doi.org/10.36873/ae , Reri Yulianti*, Yanciluk, Santosa Yulianto, Penyang, Erwyn

2020 ◽  
Vol 13 (02) ◽  
pp. 9-21
Author(s):  
Agrienvi
Keyword(s):  
Major Influence ◽  
Land Area ◽  
Position Location ◽  
Level Of Education ◽  
Construction Design ◽  
Land Owners ◽  
Construction Model ◽  
Correlation Design ◽  
Very High ◽  
Correlation Level

ABSTRACTRewetting program especially canal blocking (tabat) carried out by the Peat Restoration Agency (BRG) in 2017 aspart of efforts to control forest and land fires that often hit peatlands including in Kalawa Village in 2014 and 2015. Theresults of this study indicate that 7 indicators from 3 research variables for the level of land owners participation in thegroup receiving the rewetting program shows 14.28% has very strong/very high correlation (design making/constructionmodel), 42.86% has strong/high correlation (frequency of socialization, numbers of attendance, socialization method),42.86% has strong enough/high enough correlation (distance of land, placement of position/location, numbers of canalblocking). Whereas for 9 indicators from 4 research variables, the level of land owners participation in the group rejectingthe rewetting program shows 22.22% has strong/high correlation (age, land area), and 77.78% has quite strong/highenough correlation (level of education, distance of land, frequency of socialization, number of attendance, method ofsocialization, construction design/modeling, placement of position/location of canal blocking). The level of land ownersparticipation in the BRG rewetting program through canal blocking (tabat) was dominated by the medium category (36.0%)for the group receiving the program and the low category (48.0%) for the group rejecting the program. The relatively similarcharacteristics of the two community groups and have a major influence on the level of land owners participation aresocialization efforts (frequency of socialization, numbers of attendance, socialization method), and project implementation(design making/construction model, placement of positions/location of canal blocking).Keywords: participation; land owners; canal blocking (tabat); handel; peatland.

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