scholarly journals PENGELUARAN PENDIDIKAN BAGI ANAK ANGKAT DI INDONESIA, BENARKAH LEBIH BESAR DARI ANAK KANDUNG?

2020 ◽  
Vol 8 (2) ◽  
pp. 139
Author(s):  
Rizky Maulana ◽  
Ika Rahma Ginting
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Educational Needs ◽  
Adoptive Parents ◽  
Adopted Children ◽  
Research Model ◽  
Education Expenditure ◽  
Regression Methods ◽  
Biological Children

Stigma has developed in the community that biological children are more loved and favoured by their parents than adopted children. Therefore, this study conducted to analyze the differences in education expenditure between biological and adopted children in Indonesia. Using IFLS 5 data, this study estimates the research model using multiple linear regression methods with OLS estimation. Estimation results show that adopted children get a higher portion of education expenses than biological children. This matter is contrary to the stigma that develops in society. Even though adopted children do not have natural ties with adoptive parents, their educational needs are still considered, even with higher expenditure than biological children.

PENGARUH FAKTOR-FAKTOR INTERNAL PERBANKAN TERHADAP NON PERFORMING FINANCING PADA BANK UMUM SYARIAH

2019 ◽  
Vol 6 (2) ◽  
pp. 115-130
Author(s):  
Eka Ambara Harci Putranta ◽  
Lilik Ambarwati
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Capital Adequacy ◽  
Annual Reports ◽  
Regression Methods ◽  
Capital Adequacy Ratio ◽  
Negative Effect ◽  
Independent Variable

The study aims to analyze the influence of internal banking factors in the form of: Capital Adequency Ratio (CAR), Financing to Deposit Ratio (FDR) and Total Assets (TA) to Non Performing Financing at Sharia Banks. This research method used multiple linear regression analysis with the help of SPSS 16.00 software which is used to see the influence between the independent variables in the form of Capital Adequacy Ratio (CAR), Financing to Deposit Ratio (FDR) and Total Assets (TA) to Non Performing Financing. The sample of this study was 3 Islamic Commercial Banks, so there were 36 annual reports obtained through purposive sampling, then analyzed using multiple linear regression methods. The results showed that based on the F Test, the independent variable had an effect on the NPF, indicated by the F value of 17,016 and significance of 0,000, overall the independent variable was able to explain the effect of 69.60%. While based on the partial t test, showed that CAR has a significant negative effect, Total assets have a significant positive effect with a significance value below 0.05 (5%). Meanwhile FDR does not affect NPF.

scholarly journals Generating a Baseline Map of Surface Fuel Loading Using Stratified Random Sampling Inventory Data through Cokriging and Multiple Linear Regression Methods

2021 ◽  
Vol 13 (8) ◽  
pp. 1561
Author(s):  
Chinsu Lin ◽  
Siao-En Ma ◽  
Li-Ping Huang ◽  
Chung-I Chen ◽  
Pei-Ting Lin ◽  
...  
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Random Sampling ◽  
Fuel Load ◽  
Estimation Accuracy ◽  
Slope Aspect ◽  
Stratified Random Sampling ◽  
Inventory Data ◽  
Fuel Loading ◽  
Regression Methods

Surface fuel loading is a key factor in controlling wildfires and planning sustainable forest management. Spatially explicit maps of surface fuel loading can highlight the risks of a forest fire. Geospatial information is critical in enabling careful use of deliberate fire setting and also helps to minimize the possibility of heat conduction over forest lands. In contrast to lidar sensing and/or optical sensing based methods, an approach of integrating in-situ fuel inventory data, geospatial interpolation techniques, and multiple linear regression methods provides an alternative approach to surface fuel load estimation and mapping over mountainous forests. Using a stratified random sampling based inventory and cokriging analysis, surface fuel loading data of 120 plots distributed over four kinds of fuel types were collected in order to develop a total surface fuel loading model (lntSFL-BioTopo model) and a fine surface fuel model (lnfSFL-BioTopo model) for generating tSFL and fSFL maps. Results showed that the combination of topographic parameters such as slope, aspect, and their cross products and the fuel types such as pine stand, non-pine conifer stand, broadleaf stand, and conifer–broadleaf mixed stand was able to appropriately describe the changes in surface fuel loads over a forest with diverse terrain morphology. Based on a cross-validation method, the estimation of tSFL and fSFL of the study site had an RMSE of 3.476 tons/ha and 3.384 tons/ha, respectively. In contrast to the average loading of all inventory plots, the estimation for tSFL and fSFL had a relative error of 38% (PRMSE). The reciprocal of estimation bias of both SFL-BioTopo models tended to be an exponential growth function of the amount of surface fuel load, indicating that the estimation accuracy of the proposed method is likely to be improved with further study. In the regression modeling, a natural logarithm transformation of the surface fuel loading prevented the outcome of negative estimates and thus improved the estimation. Based on the results, this paper defined a minimum sampling unit (MSU) as the area for collecting surface fuels for interpolation using a cokriging model. Allocating the MSUs at the boundary and center of a plot improved surface fuel load prediction and mapping.

Data Visualization And Sales Prediction of PD. Asia Agung (Ajinomoto) Pontianak in 2019

2020 ◽  
Vol 7 (2) ◽  
pp. 51-57
Author(s):  
Willy Yunus ◽  
Ririn Ikana Desanti ◽  
Wella Wella
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Original Data ◽  
Analysis Method ◽  
Average Income ◽  
West Kalimantan ◽  
Regression Methods ◽  
Sales Prediction ◽  
Independent Variable ◽  
Using Data

PD. Asia Agung Pontianak is the only official distributor of Ajinomoto in the West Kalimantan region. Every year this company needs to find out the amount of turnover that will be obtained in the coming year. Unfortunately, the company only makes predictions using the average income from each year which is very less accurate. This research is conduct to create visualizations and predictions using multiple linear regression methods to predict the turnover obtained in the coming year. Multiple linear regression is a regression analysis method that can use more than 2 variables in the prediction process which is divided into 2 parts, namely the dependent variable and the independent variable. The results obtained in this research are prediction results in 2019 using data from 2010 to 2018 as a basis. Prediction results show that the longer the data used the smaller the error rate obtained. The original data from the company is visualized using a dashboard on tableau software so that the data could be easier to analyze by the company.

scholarly journals Analisis Prakiraan Beban Listrik Rumah Tangga dengan Menggunakan Metode Regresi

2019 ◽  
Vol 6 (2) ◽  
pp. 155
Author(s):  
Marwan Marwan
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Regression Method ◽  
Linear Regression Method ◽  
Simple Linear Regression ◽  
Electrical Load ◽  
Regression Methods ◽  
Electricity Load ◽  
Residential House

The purpose of this research is to analyse the number of consumers and electricity load of residential house in South Makassar region for 2019. To achieved this goal, a simple linear regression method for calculating the number of consumers and multiple linear regression methods to calculate the electrical load. To analyse this study, electricity data was taken from Electricity State Company (called PLN) since 2015 to 2016. Based on the results illustrated that the number of consumers and electricity load at the end of December 2019 were 752865 and 155187128 kWh, respectively.

scholarly journals PREDIKSI ALOKASI JUMLAH PRODUKSI MINYAK SAWIT DENGAN METODE REGRESI LINIER BERGANDA PADA PT. PALM LAMPUNG PERSADA

2018 ◽  
Vol 6 (2) ◽  
pp. 61-69
Author(s):  
Sidik Rahmatullah ◽  
Dita Destia
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Palm Oil ◽  
Oil Production ◽  
Original Data ◽  
Raw Material ◽  
Linear Regression Method ◽  
Regression Methods ◽  
A Company ◽  
Learning Data

ABSTRACTPT. Palm Lampung Persada Way Kanan is a company engaged in oil palm plantations that produce crude palm oil. This company often experiences problems in the allocation of palm oil production.This research was conducted using multiple linear regression method to predict the allocation of the amount of palm oil production based on learning data using Microsft Excel 2010 and RapidMiner applications. In this study there are dependent variables (free) and independent variables (bound), namely: dependent variable (raw material, amount of labor, rainfall and land area) while the independent variable (palm oil).Calculations using multiple linear regression methods in determining the allocation of the amount of palm oil production can be used to assist companies in making a decision with predictive value close to the original data processed as learning data with a result of 170.811 and original data of 170 and an error value of 0.002.

scholarly journals ANAK ANGKAT DALAM HUKUM KEWARISAN ISLAM DAN HUKUM PERDATA

2020 ◽  
Vol 2 (1) ◽  
pp. 101
Author(s):  
Nur Aisyah
Keyword(s):  
Family Member ◽  
Islamic Law ◽  
Civil Law ◽  
Adoptive Parents ◽  
Adopted Children ◽  
Best Interest ◽  
Adopted Child ◽  
Applicable Law ◽  
Biological Children ◽  
The Status

AbstractThe issue of adoption has been determined in Islamic law and civil law. Where both legal instruments state that the adoption of a child is something that is allowed as long as it is in the best interest of the adopted child. However, problems arise regarding adoption of children associated with inheritance issues. In Islamic law and civil law have different provisions. In Islamic law the status of adopted children can’t be equated with biological children so that they can’t receive inheritance from their adopted parents. However, the adopted child is entitled to get a will from his adoptive parents provided that no more than one-third of the assets of the adoptive parents. Whereas according to the law code of civil law states that the adopted child as a family member can get the inheritance from the adoptive parents based on the provisions of the applicable law (ab instestato) or with a will (testament).Keywords: Adopted Children, Civil Law, Inheritance, Islamic Law, Mandatory Wills.AbstrakPersoalan pengangkatan anak telah ditentukan dalam hukum Islam dan hukum perdata. Dimana kedua perangkat hukum tersebut menyatakan bahwa pengangkatan anak adalah sesuatu yang diperbolehkan selama demi kepentingan terbaik bagi anak angkat. Akan tetapi muncul persoalan terhadap pengangkatan anak yang dikaitkan dengan persoalan waris. Dalam hukum Islam dan hukum perdata mempunyai ketentuan yang berbeda. Dalam hukum Islam status anak angkat itu tidak dapat disamakan dengan anak kandung sehingga tidak dapat menerima harta warisan dari orang tua angkatnya. Meskipun demikian, anak angkat tersebut berhak mendapatkan wasiat dari orang tua angkatnya dengan ketentuan tidak boleh lebih dari sepertiga harta kekayaan orang tua angkat. Sedangkan menurut kitab undang-undang hukum perdata menyatakan bahwa anak angkat sebagai anggota keluarga dapat memperoleh harta warisan dari orang tua angkatnya berdasarkan ketentuan undang-undang yang berlaku (ab instestato) ataupun dengan adanya surat wasiat (testament).Kata Kunci : Anak Angkat, Hukum Islam, Hukum Perdata, Warisan, Wasiat Wajibah.

scholarly journals The Effect of Work Culture and Competitive Advantage on the Performance of Culinary and Service Companies During the COVID-19 Pandemic

2020 ◽  
Vol 5 (6) ◽  
pp. 547-550
Author(s):  
Badzlina Balqis ◽  
Setyo Riyanto
Keyword(s):  
Linear Regression ◽  
Competitive Advantage ◽  
Multiple Linear Regression ◽  
Research Method ◽  
Work Culture ◽  
Regression Methods ◽  
Service Companies ◽  
Quantitative Descriptive ◽  
Descriptive Method

This study aims to analyze the influence of work culture and competitive advantage on service and culinary companies during the COVID-19 pandemic. The research method used is the quantitative descriptive method and using a questionnaire with 65 respondents who have businesses in the service and culinary fields. The data obtained were processed using multiple linear regression methods with SPSS 16.0 application. The results showed that the variables of work culture and competitive advantage had significant importance on the performance of culinary and service companies during the COVID-19 pandemic.

scholarly journals Pengaruh pendapatan, kepercayaan dan religiusitas terhadap minat untuk membayar zakat penghasilan

2021 ◽  
Vol 1 (1) ◽  
pp. 12-24
Author(s):  
Sumadi Sumadi ◽  
Dini Priliastuti
Keyword(s):  
Linear Regression ◽  
Regression Model ◽  
Multiple Linear Regression ◽  
Linear Regression Model ◽  
Multiple Linear Regression Model ◽  
Sampling Technique ◽  
Quantitative Approach ◽  
Research Model ◽  
Probability Sampling

This study aims to determine the effect of income, belief, and religiosity on the interest in paying zakat income (study of residents of Makamhaji Kartasura). This study uses a quantitative approach to the population of Makamhaji Kartasura Village residents. The sampling technique uses probability sampling to analyze the data using a multiple linear regression model. The results showed that income had no significant effect on the interest in paying zakat income. In contrast, trust and religiosity have a significant effect on the interest in paying zakat income. Meanwhile, simultaneous income, belief, and religiosity have influenced the residents of Makamhaji Kartasura Village to pay zakat income. This research model contributes to explaining the role of trust and religiosity on increasing zakat income.

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PENYALURAN PEMBIAYAAN PADA PERBANKAN SYARIAH INDONESIA PERIODE 2006.01-2011.12

Media Ekonomi ◽  
2017 ◽  
Vol 20 (3) ◽  
pp. 1
Author(s):  
Aidida Adelia Purnama
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Third Party ◽  
Islamic Banking ◽  
Regression Methods ◽  
The Third ◽  
Result Show ◽  
Monthly Period ◽  
The Third Party

<p>This study aims to determine the factors that influence the development of IslamicBanking Financing in Indonesia, including Third Party Funds (TPF),NonPerforming Financing (NPF),the level of reward certificates of Bank Indonesia(SWBI) and Financing to Deposit Ratio (FDR).The data used in this study is asecondary data with the monthly period 2006:01-2011:12.The Analysis techniqueused is the Multiple Linear Regression Methods premises OLS (Ordinary LeastSquare).The result show that the Third Party Funds(TPF) has positive andsignificant impact of Islamic Banking Distribution Financing. While the NonPerforming Financing (NPF) and the level of rewards Certificates of Bank Indonesia give negative and no significant impact and Financing to Deposit Ratiogive positive and no significant impact of Islamic Banking Financing Distribution.<br />Keywords:Islamic Banking Financing Distribution, Third Party Funds (TPS),Non PerformingFinancing (NPF),Certificates Wadiah of Bank Indonesia (SWBI and Financing toDeposit Ratio (FDR)</p>

scholarly journals PENGARUH PENERAPAM SISTEM INFORMASI AKUNTANSI TERHADAP KINERJA KARYAWAN DENGAN INTEGRITAS KARYAWAN SEBAGAI VARIABEL PEMODERASI PADA CV PRAKARSA BUANA SENTOSA

2020 ◽  
Vol 1 (1) ◽  
pp. 275-280
Author(s):  
Ganesha Ade Kusumawardhani ◽  
Teguh Purwanto
Keyword(s):  
Information System ◽  
Information Systems ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Accounting Information ◽  
Measurement Scale ◽  
Accounting Information System ◽  
Accounting Information Systems ◽  
Regression Methods ◽  
The Relationship

This observation has the intention to test and unserstand the evidence of wheather the employee’s performance is influenced by the accounting information system, the accounting information system is influenced by employee integrity, whether the employee’s performance on CV Prakarsa Buana Sentosa is influenced by employee integrity so that it can strengthen the effects of accounting information systems simultaneously. In this study used 41 employee specimens utilizing slovin theory. The measurement scale uses a likert scale. The translation method in this observation uses validity, reliability, classic assumptions, and multiple linear regression methods. The results of observations by distributing questionnaires to 41 employess of CV Prakarsa Buana Sentosa initiative concicting of 7 sales division employees, 7 purchase division employees, 8 marketing division employees, 2 manager division employees, 9 warehouse division employees, and 8 shipping division employees. Then it can be concluded that the employee’s performance is influenced by the accounting information system simultaneously, while the employee’s intensity is not able to moderate the relationship between the employee’s performance towards the accounting information system.

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