IMPLEMENTASI ALGORITMA REGRESI LINEAR SEDERHANA DALAM MEMPREDIKSI BESARAN PENDAPATAN DAERAH (STUDI KASUS: DINAS PENDAPATAN KAB. DELI SERDANG)

Data Mining is an information discovery by extracting information patterns that contain trend searches in a very large amount of data and assist the process of storing data in making a decision in the future. In determining the pattern classification techniques do to collect records (Training set). Regional income is generally derived from local taxes and levies, local taxes are one source of funding for the region on the national average has not been able to make a large contribution to the formation of local revenue. By utilizing Regional Revenue data, it can produce forecasting and predictions of Regional Revenue income in the future to match the reality / reality so that the planned RAPBD can run smoothly. Simple Linear Regression or often abbreviated as SLR (Simple Linear Regression) is one of the statistical methods used in production to make predictions or predictions about the characteristics of quality and quantity to describe the processes associated with data processing for the acquisition of regional income. So that in the testing phase with visual basic net can help in processing valid Regional Revenue Amount data. Keywords: Data Mining, Local Revenue, Simple Linear Regression Algorithm, Visual Basic net 2008

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Mining Educational Data to Analyze Students’ Performance: A Case Study of Mawuli School, Ho

Volume 5 - 2020, Issue 9 - September - International Journal of Innovative Science and Research Technology ◽

10.38124/ijisrt20may635 ◽

2020 ◽

Vol 5 (5) ◽

pp. 1920-1948

Author(s):

Cephas Lokpo

Keyword(s):

Data Mining ◽

Linear Regression ◽

Predictive Models ◽

Quantitative Research ◽

Educational Data Mining ◽

Simple Linear Regression ◽

Huge Data ◽

Hidden Patterns ◽

Insight Into

Data mining is the extraction of prospective valuable information from large chunk of data through the employment of many different data mining techniques. The usefulness of data mining coupled with the huge data generated in scholastic settings has made it an interesting field of research known as Educational Data Mining (EDM). The intent of EDM is to derive understanding from hidden patterns in data collected from institutions of learning to aid in identifying issues that influence students’ scholastic accomplishment, to solution of which will lead to improvement in accomplishment. Because scholastic achievement is dependent on several issues, it is essential to develop predictive models on students’ academic performance. This study’s objective, therefore, is to acquire an insight into performance through knowledge discovery by the use of simple linear regression in order to build a predictive model capable of predicting students’ grades to give a general overview of students’ performance in the WASSCE, and help improve students’ performance. In accomplishing the set objective for which the study was carried out, that is to predict the possible outcome of students in WASSCE, a widely sampled study was applied in undertaking the study (Quantitative research).

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ANALISIS POTENSI PAJAK DAERAH DALAM PENINGKATAN PENDAPATAN ASLI DAERAH DI KOTA BITUNG

ACCOUNTABILITY ◽

10.32400/ja.14437.5.2.2016.224-236 ◽

2016 ◽

Vol 5 (2) ◽

pp. 224

Author(s):

Gebriany Pirade Wenur ◽

Herman Karamoy ◽

Jessy D. L. Warongan

Keyword(s):

Economic Development ◽

Local Government ◽

Regional Development ◽

Qualitative Method ◽

Central Government ◽

Local Revenue ◽

Local Taxes ◽

Revenue Sources ◽

The Future ◽

Descriptive Approach

Economic development requires government and the community to develop and explore the potentials of the region to supporting the better economy in the future. Local Tax is one of regional revenues that has an important role in supporting the implementation of regional development of Bitung. High earnings of local taxes will increase revenue (PAD) so the local government are expected to explore the revenue sources (PAD) in improving Local Revenue (PAD) as to reduce dependence on the central government. This study is aimed to quantify and determine the potential of local taxes in the realization of the projected increase regional revenue in Bitung City. This research uses qualitative method with descriptive approach. Based on research and survey, Bitung City has unexplored local taxes potential by the local government (DIPENDA) to be explore. In 2016 to 2020 local taxes potential revenue has been projected to rising of 25 percent. Keywords: Potential, Local Taxes, Local Revenue (PAD)

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Implementasi Data Mining Estimasi Ketersediaan Lahan Pembuangan Sampah menggunakan Algoritma Simple Linear Regression

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) ◽

10.29207/resti.v2i1.282 ◽

2018 ◽

Vol 2 (1) ◽

pp. 361-366

Author(s):

Robi Yanto

Keyword(s):

Data Mining ◽

Linear Regression ◽

Simple Linear Regression

Tingginya aktivitas konsumsi yang dilakukan masyarakat berbanding lurus dengan meningkatnnya produksi sampah. Salah satu permasalahan tingginya produksi sampah yaitu rendahnya kesadaran masyarakat terhadap pengelolaan sampah. Hal ini merupakan masalah yang dihadapi di kota-kota besar. Sampah memberikan dampak negatif terhadap perubahan kondisi alam yang ada yaitu terjadinya polusi udara, air dan tanah yang mengakibatkan lingkungan menjadi tidak sehat. Kegiatan pengelolaan sampah melalui sosialisasi program 3R (Reduce, Reuse, Recycle) tentang sampah, telah memberikan dampak yang maksimal terhadap kesadaran masyarakat tentang pentingnya lingkungan yang sehat. seiring dengan peningkatan jumlah penduduk memberikan dampak pada peningkatan produksi sampah. Sehingga membutuhkan lahan pembuangan sampah yang mencukupi dalam jangka panjang. Untuk mengatasi permasalahan tersebut maka dilakukan analisa data terhadap estimasi ketersediaan lahan pembuangan sampah dalam jangka panjang dengan menggunakan teknik data mining. dari hasil analisa data mining menggunakan algoritma regresi linear sederhana dengan memperhatikan pertumbuhan penduduk tahun 2018 sampai dengan 2025 sebesar 201484 jiwa, maka diketahui bahwa peningkatan sampah dari tahun 2018 sampai dengan tahun 2025 adalah 36.052,326 ton. Sehingga dari luas lahan 30000 M2 hanya tersediaan lahan pembuangan sampah sampai tahun 2025 sebesar 5.965,1 M2.

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Kontribusi Sikap Orang Tua terhadap Kemandirian Anak

ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) ◽

10.32505/enlighten.v3i1.1569 ◽

2020 ◽

Vol 3 (1) ◽

pp. 26-34

Author(s):

Triyono

Keyword(s):

Linear Regression ◽

Random Sampling ◽

Sampling Technique ◽

Stratified Random Sampling ◽

Questionnaire Data ◽

Simple Linear Regression ◽

Type Method ◽

The Future ◽

Research Population ◽

Quantitative Correlational

This research is motivated by the existence of parents who educate their children in excessive ways and will lead their children to negative influences in the future. The attitude of the parents is thought to be related to the child's independence. This study aims to examine the contribution between parents' attitudes and children's independence at SM Aur 01 Sungai Aur, West Pasaman Regency. This research uses quantitative correlational type method. The research population was VIII grade students of SMPN 01 Sungai Aur, West Pasaman Regency with a total of 195 respondents, a sample of 130 respondents, selected by proportional stratified random sampling technique. The instrument used was a questionnaire. Data were analyzed by simple linear regression using the SPSS program. The results showed that there was a contribution between parents' attitudes and children's independence at SM Aur 01 Sungai Aur, West Pasaman Regency which was equal to (R 4.1% and significant rtable 0.021). This means that the level of independence of a child is not only influenced by the attitude of parents, but there are still many other factors that influence.

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Analisis Pengaruh Faktor Kebutuhan Energi Listrik Tahun 2015 Terhadap Daya Yang Tersambung Dan Energi Yang Terjual Menggunakan Regresi Linear Sederhana (Studi Kasus Pada PT. PLN (Persero) Unit Area Pelayanan Dan Jaringan (APJ) Palembang)

Jurnal Ilmiah Informatika Global ◽

10.36982/jig.v9i1.439 ◽

2018 ◽

Vol 9 (1) ◽

Author(s):

Nazori Suhandi ◽

Irma Yuliawati ◽

Indah Charista

Keyword(s):

Data Mining ◽

Time Series ◽

Linear Regression ◽

Linear Regression Analysis ◽

Electric Energy ◽

Electrical Energy ◽

Regression Method ◽

Linear Regression Method ◽

Simple Linear Regression ◽

Level Of Significance

AbstractThe availability of electrical energy is a very important aspect and even become a parameter to support the successful development of a region. Proper management of electrical energy resources and directed clearly will make the potential possessed of an area developed and utilized optimally. Population growth and economic development of a region can be influenced by the use of electrical energy. The supply of electricity must be taken into account so that the electrical energy can be available in an amount that suits your needs. Demand for the use of electricity in Indonesia will always increase with economic growth in addition to the development of electrical energy is also influenced by the development of the population in terms of quantity of customers to be electricity. Predicting methods such as using time series method (Gustriansyah, 2017) or data mining methods. The purpose of this research is to know how to overcome the influence of electricity usage (VA) connected with electric energy sold (KWh). Research done by simple linear regression method to facilitate writer in processing data. Based on the calculation result using simple linear regression method can be concluded 99.2% of the variation of electric power connected can be explained by the variable amount of electrical energy sold. While the rest (100% - 99.2% = 0.8%) is explained by other causes. And the level of significance <0.05 so that the regression model can be used to predict the electrical energy sold.Keywords : Linear regression, analysis, electrical energy AbstrakKetersediaan energi listrik merupakan aspek yang sangat penting dan bahkan menjadi suatu parameter untuk mendukung keberhasilan pembangunan suatu daerah. Pengelolaan sumber daya energi listrik yang tepat dan terarah dengan jelas akan menjadikan potensi yang dimiliki suatu wilayah berkembang dan termanfaatkan secara optimal. Pertumbuhan populasi dan perkembangan ekonomi suatu wilayah dapat dipengaruhi penggunaan energi listrik. Penyediaan listrik harus diperhitungkan sehingga energi listrik dapat tersedia dalam jumlah yang sesuai dengan kebutuhan Anda. Permintaan untuk penggunaan energi listrik di Indonesia akan selalu meningkat dengan pertumbuhan ekonomi disamping pengembangan energi listrik juga dipengaruhi oleh perkembangan populasi dalam hal kuantitas pelanggan yang akan dialiri listrik. Metode untuk memprediksi seperti menggunakan metode time series (Gustriansyah, 2017) atau metode data mining. Adapun tujuan dari penelitian ini adalah untuk mengetahui bagaimana cara mengatasi pengaruh penggunaan tenaga listrik (VA) yang terhubung dengan energi listrik yang terjual (KWh). Penelitian dilakukan dengan metode regresi linier sederhana agar memudahkan penulis dalam mengolah data. Berdasarkan hasil perhitungan menggunakan metode regresi linier sederhana dapat disimpulkan sebesar 99,2% dari variasi daya listrik yang terhubung dapat dijelaskan oleh variabel jumlah energi listrik yang terjual. Sedangkan sisanya (100% - 99,2% = 0,8%) dijelaskan oleh penyebab lain. Dan tingkat signifikansi <0,05 sehingga model regresi dapat digunakan untuk memprediksi energi listrik yang terjual.Kata kunci: Regresi linier, analisis, energi listrik

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Pengaruh Pajak Kendaraan Bermotor Terhadap Penerimaan Pajak Daerah Pada Badan Pajak Dan Retribusi Daerah (BPRD) Provinsi DKI Jakarta

Moneter - Jurnal Akuntansi dan Keuangan ◽

10.31294/moneter.v6i2.6377 ◽

2019 ◽

Vol 6 (2) ◽

pp. 149-156

Author(s):

Dedi Suharyadi ◽

Rini Martiwi ◽

Eulin Karlina

Keyword(s):

Quantitative Method ◽

Motor Vehicle ◽

Regression Coefficient ◽

Strong Relationship ◽

Tax Revenue ◽

Large Contribution ◽

Simple Linear Regression ◽

Independent Variables ◽

Local Taxes ◽

Motorized Vehicles

Motor vehicle tax is still the second largest contributor in regional tax revenue after the Transfer of Motor Vehicle Title Fee (BBN-KB) in the DKI Jakarta area. Therefore PKB needs to be optimized because of its large contribution to tax revenue, given the increasingly rapid growth of motorized vehicles in DKI Jakarta. The purpose of this study was to determine how the influence of Motor Vehicle Tax Against Regional Tax Revenue in BPRD DKI Jakarta. The method used in this study is a quantitative method with a simple linear regression statistical analysis. The results showed that there was a significant influence between motor vehicle tax with local tax revenue of 0,933 or 93,3% while the remaining 0,067 or 6,7% explained other independent variables not included in this study. Based on the correlation test shows a very strong relationship between motor vehicle tax with local taxes of 0,966. Positive correlation shows that if the motor vehicle tax revenue gets bigger then the local tax revenue will increase. The formed regression equation is Ŷ = 2,266 + 0,841X1 illustrated that Constants (a) = 2,266 show constant values, where if the variable Motor Vehicle Tax (X1) equals zero (0) then the Local Tax (Ŷ) = 2,266. Motor Vehicle Tax (X1) regression coefficient of 0,841 means that if other independent variables have a fixed value and the Motor Vehicle Tax has increased by 1% then the Regional Tax (Y) will have an increase of 0,841. Keywords: Motor Vehicle Tax, Local Tax.

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ANALISIS PAJAK DAERAH DAN RETRIBUSI DAERAH DALAM STRUKTUR PENDAPATAN ASLI DAERAH KOTA MANADO

GOING CONCERN : JURNAL RISET AKUNTANSI ◽

10.32400/gc.8.4.25124.2013 ◽

2013 ◽

Vol 8 (4) ◽

Author(s):

Ali Kurniawan A. Suratinoyo ◽

Harijanto Sabijono ◽

Stanly Alexander

Keyword(s):

Data Analysis ◽

Local Government ◽

Regional Development ◽

Public Service ◽

Analysis Method ◽

Regional Income ◽

Local Revenue ◽

Local Taxes ◽

Revenue Structure ◽

Descriptive Method

Local Revenue constitutes acceptance of levy local taxes, retribution, separated management of regional assets and other income. The higher income of regional income was an image of success level ability in financing administering government and regional development. Local taxes and retribution is a major source of Acceptance for local revenue used to finance governance and development. Purpose of the implementation of this study to determine the growth of local taxes and retribution in the revenue structure of Manado. The processed data is the data from the Office of Manado City revenues from 2007 to 2011. Data analysis method used is descriptive method to analyze the data of actual local taxes and retribution years 2007-2011 were obtained from the Regional Revenue Office of Manado City. Results of this study indicate that the contribution of a given local taxes and retribution to revenue from 2007 to 2011 in the amount of 65.18% to 23.16% and local taxes for retribution. The lack of total revenues compared to retribution local taxes, the local government should further optimize Manado services rendered, whether commercial in nature or in the form of public service.

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PENDAPATAN ASLI DAERAH PROVINSI SUMATERA SELATAN: DARI KONTRIBUSI RETRIBUSI PASAR

KEUDA (Jurnal Kajian Ekonomi dan Keuangan Daerah) ◽

10.52062/keuda.v4i2.870 ◽

2019 ◽

Vol 4 (2) ◽

Author(s):

Rita Martini

Keyword(s):

Linear Regression ◽

Quantitative Methods ◽

Financial Statements ◽

Regression Method ◽

Linear Regression Method ◽

Simple Linear Regression ◽

Local Revenue ◽

Analysis Technique ◽

The Republic ◽

The Government

AbstractThis study aims to analyze the effect of market retribution contributions on Regional Original Revenue (PAD). This type of research is associative descriptive with quantitative methods. The study was conducted on twelve districts/cities in South Sumatra Province. The data used in the form of financial statements of the local government of South Sumatra Province during the 2014-2016 period from the Republic of Indonesia Supreme Audit Agency (BPK RI). The analysis technique uses the Simple Linear Regression method. This stud y proves that the contribution of market retribution is 19.30% of the PAD of regencies/cities in the province of South Sumatra, which are classified as very low. The low contribution of market retribution to PAD is the duty of the government to explore the potential that can be used as a source of revenue for regional retribution. Keywords: local revenue, market retribution

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Data Mining Prediction Production of Water Needs using Simple Linear Regression Algorithms

International Journal of Engineering and Advanced Technology - Regular Issue ◽

10.35940/ijeat.a2690.109119 ◽

2019 ◽

Vol 9 (1) ◽

pp. 3575-3578

Keyword(s):

Data Mining ◽

Linear Regression ◽

Clean Water ◽

Water Production ◽

Simple Linear Regression ◽

The Public ◽

Human Needs ◽

Regression Algorithms ◽

Basic Human Needs ◽

The City

Water is a natural resource that becomes the basic human needs. The city of Lubuklinggau every day provides the need for clean water to the community through PDAM Regional company Tirta Bukit Sulap. Clean water production is based on the analysis of water consumption by the community every month in advance. So, there is often a clean water delivery due to lack of clean water production. Also, the need for clean water will always increase with the increasing customer every month. Therefore, to be able to ensure the availability of clean water in the city of Lubuklinggau then need to be analyzed to predict the need for clean water in the city of each him is by applying data mining for prediction of needs Clean water by using simple linear regression algorithms. By applying data mining, clean water needs can be predicted for the next few years, making it easier for decisionmakers to determine the volume of clean water produced. So the public can utilize clean water according to the needs.

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Study on Optimalization of Own-Source Revenue in Regencies and Municipals in Central Java Province

Jurnal Ilmu Ekonomi dan Pembangunan ◽

10.20961/jiep.v16i1.2350 ◽

2017 ◽

Vol 16 (1) ◽

Author(s):

Jalu Adi Prakoso ◽

Suci Rahmawati Prima ◽

M. Chrisna Satriagasa ◽

M. Syahli IMNS

Keyword(s):

Linear Regression ◽

Linear Regression Analysis ◽

Coefficient Of Determination ◽

Positive Trend ◽

Simple Linear Regression ◽

Local Revenue ◽

Central Java ◽

The Government ◽

The Relationship ◽

Central Java Province

Optimizing the management of potential areas would provide additional revenue for the region. This research aims to assess whether the government in the counties and cities in Central Java province has been optimally manage their potentials so as to provide benefits beupa increased local revenues derived from the wealth management area. Through the relationship between the variables of the original income (PAD) and the Gross Domestic Product (GRDP) in the counties and cities in Central Java is expected to be known whether each area has been optimal in obtaining local revenue. The data used is data sekuder form of data revenues and GRDP in counties and cities in the province of Central Java during the years 2011-2013 were berusmber from the Central Statistics Agency (BPS), the Supreme Audit Agency (BPK), Report of Realized APBD, and RPJMD Central Java.Methods of data analysis in this research is to use a simple linear regression analysis (OLS Model) and design analysis group. The analysis showed the existence of ties between the GRDP and the PAD. The magnitude of the relationship analyzed by simple linear regression, where the results indicate a positive trend. That is, there is a directly proportional relationship anatara GRDP and PAD. The coefficient of determination of 99.9% explained that the GRDP variable can be explained by the variable revenue of 99.9%, while 0.1% is explained by other variables.The analysis showed that the GRDP value of the coefficient b> b PAD either at the district, town and overall. These results indicate that there has been no attempt by the government to manage PAD so as to generate the GRDP increase. The government can manage the outcome of PAD to be used in a way that increases the GRDP obtained. As for the test results to determine differences in optimizing the management of local revenue between districts and cities showed that the district can generate GRDP is greater with smaller PAD. It shows that the effort made by the district is more efficient than the effort undertaken by the municipality.Spatial analysis shows a comparison of the GRDP against the PAD in each county and city in Central Java province is divided into four clusters. Each cluster has a distinct regional characteristics seen from economic activity. The results of the socio-economic analysis of the economy in Central Java province when seen from the conditions of employment, which absorbs the most amount of power keraja is in the agricultural sector, which amounted to 31%, followed by the trade sector 22% and industry 19%.Keyword: Decentralization, PAD, GRDP

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