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INFRASTRUKTUR PUBLIK MENJADI DETERMINASI PENTING TERHADAP PENINGKATAN PENDAPATAN PERKAPITA (Studi Kasus Di Kabupaten Nganjuk) Kurniawan, Rony
JI@P Vol 5, No 1 (2018): JI@P
Publisher : JI@P

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (289.53 KB)

Kurniawan, 2018. âPublic infrastructure is an important determinant forincreasing per capita income in certain areasâ. Economic Science,Universitas Nusantara PGRI Kediri.The purpose of this research is to know the existence of publicinfrastructure, that is, electricity infrastructure of drinking water consumerand transportation (long way) is important determination to influenceincome per capita. Partially through t-test of three pairs of variables of thisstudy, that is the net water variable (X2) has no correlation to the increaseof income per capita in Nganjuk regency. The results rejected previousresearch by Nuritasari (2013), Muhammad & Sari, Diana (2015) andValeriani (2016). While variable of electricity customer (X1) and length ofroad (X3) become important determination to change of income percapita. The results support previous research conducted by Nuritasari(2013), Muhammad & Sari, Diana (2015), Valeriani (2016).However, simultaneously (F test) that public infrastructure ie electricitycustomer (X1), clean water subscriber (X2) and road length (X3)significantly affect the change of income per capita (Y). Researchers usesaturated sample data or all time series data from 2000-2016 collectedfrom the Central Bureau of Statistics (BPS) Nganjuk. Researchers useEviews data version 8 to get statistical value so that this research can bedone in accordance with the purpose of research.Keywords: Public Infrastructure, Per Capita Income, Nganjuk District

Optimalisasi Persediaan Bahan Baku Bawang Goreng Merek Sawung Tani Alisa Mayang Ningrum; Hery Purnomo; Rony Kurniawan
Jurnal E-Bis (Ekonomi-Bisnis) Vol 5 No 2 (2021)
Publisher : Politeknik Dharma Patria Kebumen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-bis.v5i2.563

Tujuan penelitian ini untuk mengetahui estimasi kebutuhan bahan baku untuk periode berikutnya, sebagai dasar menentukan penerapan metode EOQ, dan mengetahui perbandingan dalam penerapan EOQ periode lalu dengan periode yang akan datang, berdasar pada estimasi kebutuhan bahan baku. Hasil penelitian 1) diperoleh model tren linier regresi yang terbaik adalah metode tren kuadrat terkecil, dengan Standar Kesalahan Estimasi terkecil, dengan model tren linier regresi = Yâ€™= 2.044,70 â€“ 23,70(x). Maka hasil estimasi kebutuhan bahan baku periode 2021 (n+1) adalah sebesar 22,545 Kg lebih rendah 8% dari kebutuhan bahan baku periode 2020 (n), sebesar 24.536 Kg. 2) EOQ menggunakan data historis yaitu 2020 (n) diperoleh besar EOQ adalah 1.566 Kg, dan SS sebesar 167 Kg, dan Rop sebesar 1.068 Kg. Sedangkan dengan menggunakan data kebutuhan bahan baku estimasi (peramalan) untuk periode 2021 (n+1) EOQ terletak pada 1.498 Kg, dan SS pada 154 Kg, dan RoP sebesar 942 Kg. Jika perusahaan menggunakan data historis tahun 2020 untuk kebijakan pengendalian perusahaannya akan berefek pada kelebihan bahan baku sebesar 1.962 Kg pada akhir tahun 2021 (n+1).

FORCASTING DEMAND DENGAN METODE MULTIPLICATIVE DECOMPOSITION DAN TRACKING SIGNALS DI PT PERSADA NAWA KARTIKA Samari Samari; Rony Kurniawan; Sigit Ratnanto
Kajian Bisnis Sekolah Tinggi Ilmu Ekonomi Widya Wiwaha Vol 30 No 1 (2022): JURNAL KAJIAN BISNIS
Publisher : Sekolah Tinggi Ilmu Ekonomi Widya Wiwaha

This study chooses the right method to produce demand forecasts that have high accuracy so that it can be considered by PT Persada Nawa Kartika, Kertosomo, Nganjuk to develop future marketing plans. Researchers use exponential smoothing, moving average and multiplicative decomposition to make accurate forecasts. To measure the accuracy of forecasting, researchers used the mean square error (MSE), mean absolute deviation (MAD), mean absolute percentage error (MAPE). The research data used is serial data from the sale of bottled drinking water with the NUCless brand from August 2020 to July 2021. NuCless is a production from PT Persada Nawa Kartika, Kertosono, Nganjuk. Researchers in processing data analysis using mathematical analysis POM QM for windows version 5.2 to produce accurate forecasts. The results of this study recommend the value of forecasting demand for three months, namely August 2021 with 9113 boxes, September 2021 with requests for 13811 boxes and October 2021 with requests for 13811 boxes.

INFRASTRUKTUR PUBLIK MENJADI DETERMINASI PENTING TERHADAP PENINGKATAN PENDAPATAN PERKAPITA (Studi Kasus Di Kabupaten Nganjuk) Rony Kurniawan
JI@P Vol 5 No 1 (2018): JI@P
Publisher : Master of Public Administration, Universitas Slamet Riyadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33061/jp.v5i1.2059

Kurniawan, 2018. “Public infrastructure is an important determinant forincreasing per capita income in certain areas”. Economic Science,Universitas Nusantara PGRI Kediri.The purpose of this research is to know the existence of publicinfrastructure, that is, electricity infrastructure of drinking water consumerand transportation (long way) is important determination to influenceincome per capita. Partially through t-test of three pairs of variables of thisstudy, that is the net water variable (X2) has no correlation to the increaseof income per capita in Nganjuk regency. The results rejected previousresearch by Nuritasari (2013), Muhammad & Sari, Diana (2015) andValeriani (2016). While variable of electricity customer (X1) and length ofroad (X3) become important determination to change of income percapita. The results support previous research conducted by Nuritasari(2013), Muhammad & Sari, Diana (2015), Valeriani (2016).However, simultaneously (F test) that public infrastructure ie electricitycustomer (X1), clean water subscriber (X2) and road length (X3)significantly affect the change of income per capita (Y). Researchers usesaturated sample data or all time series data from 2000-2016 collectedfrom the Central Bureau of Statistics (BPS) Nganjuk. Researchers useEview's data version 8 to get statistical value so that this research can bedone in accordance with the purpose of research.Keywords: Public Infrastructure, Per Capita Income, Nganjuk District

ANALISIS HUBUNGAN LAJU INFLASI, REALISASI INVESTASI INDUSTRI KECIL, PEROLEHAN PAD, PENYERAPAN TENAGA KERJA TERHADAP PENDAPATAN PERKAPITA (Studi Kasus di Kabupaten Nganjuk) Rony Kurniawan; Edy Djoko Soeprajitno
JURNAL AKUNTANSI DAN MANAJEMEN MUTIARA MADANI Vol 3 No 1 (2016)
Publisher : SEKOLAH TINGGI ILMU EKONOMI NGANJUK

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The results of this study independent variable inflation rate has no effect on the dependent variable per capita income. This corresponds with the results of Persia test (t test) -0.381255 with a probability value of 0.716. Variable investment informal sector mention significantly affect the per capita income of the people Nganjuk district. This is evident from the figures show positive investment coefficient of 2.983050, with a probability of 0.02 is far below the level of 0.05 is the standard threshold siginifikansi in this study. Similarly, the variable revenue (PAD) has a significant relationship to the per capita income of mesayarakat in Nganjuk. This can be seen from the partial test (t test) with numbers koefeisien 3.915228 probability value of 0.0078.But the independent variable Employment in small industry sector did not affect the per capita income of the people in Nganjuk. This assumption is based on the probability of regression of 0.1727 which shows much of the research siginifikansi threshold is set at figure 0.05. This study uses linear regression analysis using model test beganda and Error Correction Model (ECM) to test the residue so that it can create the best coefficient least unbyas estimate (blue) as a condition of regression can be estimated. Data used in the study of time series of inflation rate, the realization of PAD Nganjuk, realization of investment in small industrial sector, employment in the informal sector in Nganjuk and per capita income from 2002 to 2013 period.

PENYEDIAAN INFRASTRUKTUR EKONOMI MEMBANGUNAN KESEJAHTERAAN MASYARAKAT KABUPATEN NGANJUK Rony Kurniawan
JURNAL AKUNTANSI DAN MANAJEMEN MUTIARA MADANI Vol 5 No 2 (2017)
Publisher : SEKOLAH TINGGI ILMU EKONOMI NGANJUK

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The success of community development in improving their welfare through the size of income per capita, it can be done with the provision of economic infrastructure. As done by the Government of Nganjuk Regency managed to build the welfare of its people through the provision of economic infrastructure, such as electrical installations, clean water customers and the existence of long paved roads. This is proven through research by using multiple logarithm regression analysis by paying attention to partial test result (t test), f test and coefficient of determination. Partial results show significant numbers and f test also shows partial numbers. Therefore, this research answer the purpose of research to know the role and the relation of independent variable of the number of electricity subscribers (X1), the amount of water product of PDAM Nganjuk (X2) and the length of the road with good condition (X3) with the dependent variable of community welfare in this case income per capita society Nganjuk (Y). This study uses saturated sample data or all time series data from 2001-2014) obtained by research from the Central Bureau of Statistics (BPS) of Nganjuk Regency. Researchers use Eview's data version 8 to get statistical value so that this research can be done in accordance with the purpose of research.

Komparasi Model Single Moving Avarage & Exponential Smoothing Untuk Peramalan Penjualan AMDK NuClees Rony Kurniawan Kurniawan; Samari Samari; Sigit Ratnanto
Jurnal Nusantara Aplikasi Manajemen Bisnis Vol 7 No 1 (2022): j
Publisher : UNIVERSITAS NUSANTARA PGRI KEDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/nusamba.v7i1.17740

This study aims to (1) forecast the demand for NUCless bottled drinking water in the Nganjuk Regency market. (2) Find the suitable model by comparing the most accurate results from the Moving Average model and the Exponential Smoothing model. Meanwhile, to test the accuracy of the casting results, apply a control tracking signal and test the mean absolute deviation (MAD) error values, mean square error (MSE), and mean fundamental percentage error (MAPE). This research data is a time series with a seasonal pattern from January to December 2021. The results of this study place the Single Moving Average model better than the results of the Exponential Smoothing model. This is based on the results of the control tracking signal Smoothing model test results that there are deviations. In contrast, the results of the MSE, MAD, and MAPE accuracy tests of data deviations in the Single Moving Average model are lower than the results of the Exponential Smoothing model, so these results reject the results of several previous researchers who rely on the Exponential Smoothing model instead of the Exponential Smoothing model. Single Moving Average to forecast sales. Keywords: Comparison, Moving Average Model, Exponential Smoothing Model

PENERAPAN METODE CPM DAN GRANTT CHART UNTUK MENGUKUR EFISIENSI WAKTU (Studi Kasus Pembangunan Rumah Perum GIP Kertosono, Nganjuk) Rony Kurniawan
JURNAL EKONOMI DAN KEWIRAUSAHAAN Vol. 20 No. 4 (2020): Jurnal Ekonomi Dan Kewirausahaan : December
Publisher : Universitas Slamet Riyadi

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The implementation of housing unit construction needs to be done in order to control time efficiently. Therefore, the delay of the house will result in inefficient costs. This study aims (1) to determine the scheduling sequence of the type 45/90 residential development project at Perum GIP Kertosono, Nganjuk (2) to determine the network or network in the type 45/90 residential development project at Perum GIP Kertosono, Nganjuk (3) To understand] the critical activities carried out in the housing construction project type 45/90 at Perum GIP Kertosono, Nganjuk, (4) To find out the activities carried out jointly in the housing construction project type 45/90 Perum GIP Kertosono, Nganjuk. This research uses the Critical Path Method (CPM) or the critical path and the Grantt Chart method. The application of the CPM method is used to determine the time for effective and efficient development projects. While the grantt chart method is used to determine the activities carried out and the busiest time in the housing development project activities. Through the application of CPM resulted in efficient development implementation with a time of 84 days or 19 days faster than the total time predicted by the planning team for 103 working days. Through the grant chart method, it was found that the busiest times of construction were on the 16th to the 53rd day because at that time it was carried out simultaneously with the installation of sloofs, concrete columns, installation of floor tiles and construction of terraces.

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