scholarly journals AN APPLICATION OF CADASTRAL FABRIC SYSTEM IN IMPROVING POSITIONAL ACCURACY OF CADASTRAL DATABASES IN MALAYSIA

Author(s):  
T. L. Choon ◽  
L. C. Ho ◽  
U. Ujang ◽  
T. A. Chin ◽  
N. S. Azri ◽  
...  

Abstract. Cadastral fabric is perceived as a feasible solution to improve the speed, efficiency and quality of the cadastral measurement data to implement Positional Accuracy Improvement (PAI) and to support Coordinated Cadastral System (CCS) and Dynamic Coordinated Cadastral System (DCCS) in Malaysia. In light of this, this study aims to propose a system to upgrade the positional accuracy of the existing cadastral system through the utilisation of the cadastral fabric system. A comprehensive investigation on the capability of the proposed system is carried out. A total of four evaluation aspects is incorporated in the study to investigate the feasibility and capability of the software, viz. performance of geodetic least squares adjustment, quality assurance techniques, supporting functions, and user friendliness. This study utilises secondary data obtained from the Department of Surveying and Mapping Malaysia (DSMM). The test area is coded as Block B21701 which is located in Selangor, Malaysia. Results show that least square adjustment for the entire network is completed in a timely manner. Various quality assurance techniques are implementable, namely error ellipses, magnitude of correction vectors and adjustment trajectory, as well as inspection of adjusted online bearings. In addition, the system supports coordinate versioning, coordinates of various datum or projection. Last but not least, user friendliness of the system is identified through the software interface, interaction and automation functions. With that, it is concluded that the proposed system is highly feasible and capable to create a Cadastral Fabric to improve the positional accuracy of existing cadastral system used in Malaysia.

Agrotek ◽  
2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Kunto Wibowo

<em>The agricultural sector</em><em> is a strategic sector in Manokwari regency. The agricultural sector provides a major contribution in the regional economy, an economic base of rural people, dominate the life of most residents in this region and provider of food and raw materials for other sectors. The purpose of this study was to determine how big the contribution of different sub-sectors that exist in the agricultural sector, which analyzes sectors influential in changing the economic structure of agriculture in the area and know the potential commodities that can be developed in an effort to enhance the role of the agricultural sector. The research method used through literature study and analysis of secondary data sourced from the relevant authorities. To find out how big the factors that influence changes in economic structures of domination of the agricultural sector into non-agricultural sector estimates used Ordinary Least Square (OLS). For the determination of the potential commodities that can be seeded used method approach Location Quotient (LQ). The results showed the greatest contribution of the different sub-sectors within the agricultural sector contained in the food crops sub-sector. Based on the rate of growth per year, plantation crops sub-sector occupied the highest positions. The sectors that provide real impact on the agricultural sector's contribution to the regional gross domestic product �of the building sector and services sector. Potential commodities that can be developed in different areas in Manokwari regency include food crops and pulses, vegetables and fruits and livestock including cows, goats, pigs and chicken.</em>


2020 ◽  
Vol 1 (1) ◽  
pp. 108-125
Author(s):  
Jaharuddin Jahar ◽  
Melia Rostiana ◽  
R Melda Maesarach

The purpose of this study was to decide the elements of performance at PT. General Takaful Insurance, to find out how to measure performance using the scorecard approach that is by measuring process performance and results performance, and interpreting in the form of conclusions. In this study, researchers tested apply maslahah at PT. General Takaful Insurance with a case study design. This research is a type of quantitative and qualitative research because it uses measurement data through formulas and if interpretative qualitative, and the data used are primary and secondary data. Data collection methods used are observation, interviews and documentation. The results showed that PT. General Takaful Insurance received a value of the performance benefit process of 0.7 which indicates that the company simply applied benefits in terms of process performance. And behave the benefit of PT. General Takaful Insurance got a value of 0.89 which shows that the company is quite good in providing benefits to stakeholders and shareholders. Keyword: Performance, Insurance, Scorecard Maslahah


Author(s):  
Jing Bai ◽  
Le Fan ◽  
Shuyang Zhang ◽  
Zengcui Wang ◽  
Xiansheng Qin

Purpose Both geometric and non-geometric parameters have noticeable influence on the absolute positional accuracy of 6-dof articulated industrial robot. This paper aims to enhance it and improve the applicability in the field of flexible assembling processing and parts fabrication by developing a more practical parameter identification model. Design/methodology/approach The model is developed by considering both geometric parameters and joint stiffness; geometric parameters contain 27 parameters and the parallelism problem between axes 2 and 3 is involved by introducing a new parameter. The joint stiffness, as the non-geometric parameter considered in this paper, is considered by regarding the industrial robot as a rigid linkage and flexible joint model and adds six parameters. The model is formulated as the form of error via linearization. Findings The performance of the proposed model is validated by an experiment which is developed on KUKA KR500-3 robot. An experiment is implemented by measuring 20 positions in the work space of this robot, obtaining least-square solution of measured positions by the software MATLAB and comparing the result with the solution without considering joint stiffness. It illustrates that the identification model considering both joint stiffness and geometric parameters can modify the theoretical position of robots more accurately, where the error is within 0.5 mm in this case, and the volatility is also reduced. Originality/value A new parameter identification model is proposed and verified. According to the experimental result, the absolute positional accuracy can be remarkably enhanced and the stability of the results can be improved, which provide more accurate parameter identification for calibration and further application.


Author(s):  
Stefan Hartmann ◽  
Rose Rogin Gilbert

AbstractIn this article, we follow a thorough matrix presentation of material parameter identification using a least-square approach, where the model is given by non-linear finite elements, and the experimental data is provided by both force data as well as full-field strain measurement data based on digital image correlation. First, the rigorous concept of semi-discretization for the direct problem is chosen, where—in the first step—the spatial discretization yields a large system of differential-algebraic equation (DAE-system). This is solved using a time-adaptive, high-order, singly diagonally-implicit Runge–Kutta method. Second, to study the fully analytical versus fully numerical determination of the sensitivities, required in a gradient-based optimization scheme, the force determination using the Lagrange-multiplier method and the strain computation must be provided explicitly. The consideration of the strains is necessary to circumvent the influence of rigid body motions occurring in the experimental data. This is done by applying an external strain determination tool which is based on the nodal displacements of the finite element program. Third, we apply the concept of local identifiability on the entire parameter identification procedure and show its influence on the choice of the parameters of the rate-type constitutive model. As a test example, a finite strain viscoelasticity model and biaxial tensile tests applied to a rubber-like material are chosen.


2012 ◽  
Vol 68 (11) ◽  
pp. 1486-1491
Author(s):  
Daisaku Tatsumi ◽  
Ryosei Nakada ◽  
Akinori Ienaga ◽  
Akane Yomoda ◽  
Makoto Inoue ◽  
...  

2021 ◽  
Vol 6 (3) ◽  
pp. 28
Author(s):  
Dini Nur Sofya ◽  
Sugeng Purwanto

Abstract This study aims to determine the effect of brand image and product quality on the decision to repurchase Slai O'lai products in the people of Kediri City and Regency. This type of research is explanatory research, which explains and proves the relationship and influence between the independent variable and the dependent variable. The research method used is quantitative method. This study used a sample of 110 respondents and distributed questionnaires in the City and District of Kediri with the help of Google Forms. Sampling used non-probability sampling method with convenience sampling method. The sample consists of respondents who live in the City and District of Kediri, aged 17 years and over, and have purchased Slai O'lai products more than 2 (two) times. The data used are primary and secondary data, while the analysis technique used in this study is Partial Least Square (PLS) with validity test, reliability test, and hypothesis testing. Based on the results of this study, it can be seen that brand image and product quality have a positive and significant effect on the decision to repurchase Slai O'lai sandwich biscuits. Keywords: brand Image, Product Quality, Repurchase Decision   Abstrak Penelitian ini memiliki tujuan untuk mengetahui pengaruh citra merek dan kualitas produk terhadap keputusan pembelian ulang produk Slai O’lai pada masyarakat Kota dan Kabupaten Kediri. Jenis penelitian ini adalah explanatory research, yang menjelaskan dan membuktikan hubungan dan pengaruh antara variabel bebas dan variabel terikat. Metode penelitian yang digunakan yaitu metode kuantitatif. Penelitian ini menggunakan sampel sebanyak 110 responden dan menyebarkan kuesioner di Kota dan Kabupaten Kediri dengan bantuan Google Forms. Pengambilan sampel menggunakan metode non-probability sampling dengan metode convenience sampling. Sampel terdiri dari responden yang berdomisili di Kota dan Kabupaten Kediri, berusia 17 tahun ke atas, dan telah membeli produk Slai O'lai lebih dari 2 (dua) kali. Data yang digunakan adalah data primer dan sekunder, sedangkan teknik analisis yang digunakan dalam penelitian ini adalah Partial Least Square (PLS) dengan uji validitas, uji reliabilitas, serta uji hipotesis. Berdasarkan hasil penelitian ini dapat diketahui bahwa citra merek dan kualitas produk berpengaruh positif dan signifikan terhadap keputusan pembelian ulang biskuit sandwich merek Slai O’lai. Kata kunci: Citra Merek, Kualitas Produk, Keputusan Pembelian Ulang  


2019 ◽  
Vol 1 (2) ◽  
pp. 589
Author(s):  
Rilla Mariska ◽  
Dewi Zaini Putri

This study aims to find out determine of child welfare in Indonesia by using Composite Children Welfare Index. The data used are secondary data in the form of cross section in 2015, with documentation data collection techniques and library studies obtained from relevant institutions and agencies. The variables used are Child Welfare, Income per capita, Income Distribution, Female Literacy Rate, Goverment Expenditure in education and health sector. The research methods used are: (1) Ordinary Least Square (OLS) Analysis, (2) Classical Assumption Test. The results of the study show that (1) Income per capita is positive and not significant on the child welfare in Indonesia. (2) Income distribustion is positive and significant on the child welfare in Indonesia. (3) Female Literacy Rate is positive and significant on the child welfare in Indonesia. (4) Goverment expenditure in education sector is negative and not significant on the child welfare in Indonesia(5) Goverment expenditure in health sector is negative and not significant on the child welfare in Indonesia(5) Income per capita, distribution income, female literacy rate, and goverment expenditure in eduacation and health statistically significant on the child welfare. So, only income distribution and female rate literacy is significant on the child welfare.


2019 ◽  
Vol 13 (2) ◽  
pp. 1
Author(s):  
Akpokerere Othuke Emmanuel ◽  
Okoroyibo Eloho Elizabeth

The paper examined capital market performance as a panacea for economic growth in Nigeria from 1986-2016. A number of related literatures have shown that the Nigerian capital market variables studied has satisfactory market performance and has contributed to economic growth. Yet some researchers observed that the capital market has not significantly mobilized and effectively channeled substantial capital to the real sector of the economy. What could have been the reason for the divergences? The study was anchored on the demand following hypothesis. Secondary data were sourced from Central Bank of Nigeria Statistical Bulletin and Nigeria Stock Exchange fact-book of various editions. The paper adopted the ex-post facto research design while ordinary least square regression techniques was used to process the data gathered using E-views 9.0 software. The null hypotheses (Ho) were tested at 5% level of significance. The findings of the paper revealed that there is negative and insignificant relationship between capital market and the variables studied. The paper conclude that liquidity of the capital market is pivotal for economic growth in Nigeria while the study recommended that all tiers of government should be encouraged to fund their realistic long term developmental program through the Nigeria capital market.


2021 ◽  
Vol 58 (1) ◽  
pp. 5228-5234
Author(s):  
Andi Hidayatul Fadlilah Et al.

Introduction: The Company claims that the product is finally categorized as environmentally friendly, but industrial entities do not provide sufficient explanation regarding their efforts to reduce environmental degradation. Purpose: The purpose of this paper is to determine influence of the green innovation on financial performance as well as through environmental dynamism as a moderating variable. Method: The data used in this research are secondary data involving 246 companies listed on the Indonesian Stock Exchange for the period 2012-2018. The data used in this study were analyzing using partial least square and carried out with the help of software Warp PLS 6.0. Finding: The result show that the green innovation has a positive significant effect on financial performance. Originality:  The result also show environmental dynamism strengthens of green innovation on financial performance


2019 ◽  
Vol 5 (1) ◽  
pp. 1-8
Author(s):  
Arwin Arwin ◽  
Said Muhammad ◽  
Raja Masbar

This study aims to determine the determinants of the money demand and money supply function in Indonesia. To formulate the equation between money demand (Md) and money supply (Ms) using LM function by looking at the effect of real income and interest rate. The data in this study constitutes Indonesia's economic data from 1986 to 2015 drawn from secondary data sources such as Bank Indonesia (BI), Central Bureau of Statistics (BPS), International Financial Statistics (IFS), International Monetary Funds (IMF) and World Bank . The Data Processing method used is to use the equations and completed with Two Stage Least Square. The results showed that the balance occurred at the national income level of 277559.05 billion Rupiah with an interest rate of 7.05%. Keywords: Demand and Supply of Money, Gross Domestic Product, Interest Rate, Inflation, and Exchange Rate. Abstrak Penelitian ini bertujuan untuk megetahui determinan dari fungsi permintaan uang dan penawaran uang di Indonesia. Untuk merumuskan persamaan antara permintaan uang (Md) dengan penawaran uang (Ms) menggunakan fungsi LM dengan melihat pengaruh pendapatan riil dan tingkat suku bunga. Data dalam penelitian ini merupakan data perekonomian Indonesia dari tahun 1986 – 2015 yang diambilkan dari sumber data sekunder baik seperti Bank Indonesia(BI), Badan Pusat Statistik (BPS), Internasional Financial Statistics (IFS), International Monetary Funds ( IMF) dan World Bank. Metode Pengolahan datayang digunakan adalah menggunakan persamaan simultan dan diselesaikan dengan Two Stage Least Square. Hasil penelitian menunjukkan bahwa keseimbangan terjadi pada tingkat pendapatan nasional sebesar 277559.05 milyar Rupiah dengan tingkat bunga sebesar 7,05%. 


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