scholarly journals FAKTOR-FAKTOR YANG MEMPENGARUHI KINERJA PEGAWAI NEGERI SIPIL KOTA MANADO

Author(s):  
Christine Amelia Londong ◽  
David Saerang ◽  
Rosalina Koleangan

Abstrak Pengembangan daerah dalam melaksanakan pendelegasian wewenang serta anggaran dari pusat ke daerah dalam bentuk otonomi menjadi kesempatan sekaligus momok menakutkan apabila tak bisa dikelola dengan baik, apalagi dengan banyaknya kebutuhan serta keinginan masyarakat di daerah yang perlu untuk diperhatikan dan berimplikasi pada kebijakan yang dibuat oleh pemerintah sebagai pengambil keputusan. Kinerja pegawai menjadi salah satu hal yang paling dituntut dalam pelaksanaanya, apakah sudah benar-benar melihat kebutuhan masyarakat dalam memberi pelayanan dan mengambil keputusan. Dalam penelitian ini digunakan data primer dengan metode Ordinary Least Square dengan analisis regresi berganda untuk melihat seberapa besar factor-faktor independen yang ditentukan memberikan pengaruh pada kinerja pegawai. Dari hasil perhitungan didapati baik secara parsial variable pelatihan, motivasi pegawai dan distribusi pekerjaan maupun secara simultan terhadap kinerja pegawai menunjukan hasil R Square sebesar 0,766 yang artinya 76,6 persen kinerja pegawai negeri sispil kota Manado dipengaruhi oleh variable yang ada di dalam penelitian sedangkan sisanya dipengaruhi oleh factor lain yang tidak ada dalam penelitian.   Kata kunci : otonomi daerah, kinerja, motivasi, pelatihan, distribusi kerja Abstract Regional development in implementing the delegation of authority and budget of the center to the regions in the form of autonomy into opportunities and frightening if it can not be managed properly, especially with the many needs and wishes of the people in the area that need to be considered and the implications for the policies made by the government as a taker decision. Employee performance became one of the most demanded in its implementation, whether it actually saw the needs of society in providing services and making decisions. This study used primary data with Ordinary Least Square method with multiple regression analysis to see how big factors specified independent influence on employee performance. From the calculation of the variable found to be either partially training, motivation and distribution of work and simultaneously towards employee performance showed the results of R Square of 0.766, which means 76.6 percent of the performance of civil servants sispil Manado city is influenced by variables in the study while the remaining affected by other factors that were not in the study.   Keywords: autonomy, performance, motivation, training, labor distribution

2018 ◽  
Vol 1 (1) ◽  
pp. 399
Author(s):  
Yudi Setiawan

The purpose of this study was to see the general public's response to insurance in Medan. The variables used in this study are service variables, income and the response of the people of Medan City. The data used in this study are primary data through direct interviews and questionnaires with a sample of 100 respondents spread across 4 sub-districts of Medan City, namely Medan Kota sub-district, Medan Petisah sub-district, Medan Tembung sub-district and Medan Denai sub-district. While the data analysis techniques of this study are multiple regression with the Ordinary Least Square method. The results show that the service and income variables significantly influence both simultaneously and partially on the response of the Medan City Muslim community in Islamic insurance. The results also show that service and income variables can explain the response of the Medan City Muslim community as much as 65.6% while the remaining 34.4% is explained by other factors. The need for education and socialization of sharia insurance and also the increasing professionalism of sharia insurance agents is the solution so that the response of Muslim communities increases especially in the city of Medan.


2015 ◽  
Vol 5 (2) ◽  
pp. 1
Author(s):  
Miftahol Arifin

The purpose of this research is to analyze the influence of knowledge management on employee performance, analyze the effect of competence on employee performance, analyze the influence of motivation on employee performance). In this study, samples taken are structural employees PT.centris Kingdom Taxi Yogyakarta. The analysis tool in this study using multiple linear regression with Ordinary Least Square method (OLS). The conclusion of this study showed that the variables of knowledge management has a significant influence on employee performance, competence variables have an influence on employee performance, motivation variables have an influence on employee performance, The analysis showed that the variables of knowledge management, competence, motivation on employee performance.Keywords: knowledge management, competence, motivation, employee performance.


Author(s):  
Atayi Abraham Vincent ◽  

This research work address the positive effect of Agriculture on the manufacturing sector in Nigeria. The study made used of Ordinary Least Square Method estimation techniques. The findings showed that Agricultural output, government spending on agriculture, and real gross domestic product all have positive effects on the manufacturing sector. The effects is RGDP 66percent, AGRQ by 63%, and GOEXA by 96 percent. The study recommends among other things that government should allocate more resources to the Nigerian agricultural sector and ensure that the funds are judiciously use and that the government should also seek to strengthen its incentives for the manufacturing sector in order to promote increased industrial production and growth.


2020 ◽  
Vol 9 (1) ◽  
pp. 1-12
Author(s):  
Cici Swarsih ◽  
Junaidi Junaidi ◽  
Rosmeli Rosmeli

This study aims to analyze the characteristics of educated workforce and to determine the effect of variables of age, education, wage level, skills and gender on duration of looking for work by educated worker in Jambi City. The data used in this study are primary data obtained from questionnaires and direct interviews with a total sample of 110 respondents. Sampling in this study uses a multistage sampling method that is sampling in stages. Data analysis methods used are descriptive and quantitative analysis. The analytical tool used is the OLS (Ordinary Least Square) method. The results of this study indicate that the independent variables simultaneously have a significant effect on duration of looking for work. Partially the variables of age, education, wage level have a significant effect on duration of looking for work, while the skills and gender variables have no significant effect on the duration of looking for work.


2018 ◽  
Vol 5 (1) ◽  
pp. 58
Author(s):  
Meila Nasih Amlauni ◽  
P. Edi Suswandi ◽  
Moh Adenan

The main problem of this research was about the value of production in the handicraft industry in the village Tutul subdistrict Balung district Jember. This research was aimed to describe the factors that influence the value of production in the handicraft industry in the village Tutul subdistrict Balung district Jember. This research belongs to explanatory survey. This type of data are primary data, including data on the number of labor wages, capital, and production value. The method of this Research is ordinary least square (OLS). The result of this data shows that capital and amount and manpower have affected value of production, but wage haven’t affected value of production in the handicraft industry in the village tutul subdistrict Balung district jember. The research showed the implication that the use of capital by entrepreneurs handicraft is not maximized and need a support from the government, the capital should also get support from the local government to provide facilities to Kredit Usaha Rakyat (KUR). Handicraft industry in the village Tutul also still using traditional machines and therefore entrepreneurs need to boost employment and improve the quality of their performance. Keywords: Value of production, amount of manpower, capital and wage


2017 ◽  
Vol 4 (1) ◽  
pp. 23
Author(s):  
Yasrizal Yasrizal

The main objective of this study was to determine the factors that affect the income of fishermen in Great Aceh. This study uses primary data is data that is obtained from the distribution of questionnaires to 95 respondents. Data were tested and analyzed using Multiple Linear Regression Model (Model Regresi linier Berganda) technique with Ordinary Least Square (OLS). The results of the analysis indicate that the traditional fishermen Capital (M), The amount of labor (L) significantly affects the income of fishermen in Great Aceh, the results of the analysis showed the modern fisherman working capital (M) and the number of days at sea (J) a significant effect on the income of fishermen. From the analysis that has been carried out on several criteria that capital should be used with an increase in working capital, of course the results obtained should be greater using of working capital efficiency improvements can be done by calculating the operational cost needs better. Limitations of venture capital or investment can also complicate fisheries fishermen increase economic activity. Because the government can help the fishermen by enhancing the functions of microfinance institutions and cooperatives pro fisherman and build Business Group (KUB) for fishermen, such as through ownership of the means of collective arrests


2019 ◽  
Author(s):  
Ade Faisal Fahroez ◽  
Estro Sihaloho

Social Security in Indonesia is managed by Badan Penyelenggara Jaminan Kesehatan or BPJS Kesehatan, BPJS Kesehatan is a government agency tasked with managing contributions or funds from the public to ensure their health. In 2017 the number of participants BPJS Kesehatan as many as 176,738,998 people, of which 99,044,288 people, their contributions in the form of premiums paid by the government and the other paid financed by institutions where they work or pay independently. This indicates that as many as 56.1% of them are considered not able to pay dues independently, and are considered a poor society. Of the many participants BPJS Kesehatan, as much as 1.3% are people with dangerous diseases (Coronary Heart, TBC, Cancer, and AIDS). The purpose this paper is to find out how big the influence of poverty, unemployment, patients with coronary heart disease, tuberculosis patients, people with AIDS disease, and cancer patients to the number of participants BPJS Kesehatan. The method used in this research is multiple regression method using OLS (ordinary Least Square) model by taking secondary data from related institutions. From the data obtained, it turns out all the mentioned variables have a positive correlation to the increase of health insurance participants through BPJS Kesehatan.


2020 ◽  
Vol 9 (2) ◽  
pp. 49
Author(s):  
Ubesie M. C. ◽  
Nwanekpe C. E. ◽  
Ejilibe C.

This study on “Impact of Capital Market on Economic Growth in Nigeria” is aimed to access the impact and determinant of capital market on the economic growth in Nigeria within the period of study. It further employed the ordinary least square method (OLS) in analyzing the time series variables obtained for the study. The result of the findings show that all the variables of interest were significant in explaining the behavior of capital market on the growth of Nigeria Economy except Labour force. more so, the result show that the the model employed for the analysis is adequate and best in fitting the variables obtained. Further more, necessary recommendations were made to enable the government come up with a favorable policies in which will make for improvement in the standard of living.


2020 ◽  
Vol 37 (2) ◽  
pp. 113
Author(s):  
Eka Rastiyanto Amrullah ◽  
Ani Pullaila

<strong>English</strong><br />Combined Harvester (CH) aid is part of the Indonesian government policy instrument for accelerating rice production and increasing farmers’ income. In addition to reducing harvesting cost and time, CH may also reduce harvest loss. This study intends to quantify rice yield loss reduction if CH is used for harvesting. The study was conducted in Banten Province in 2014 using primary data collected from 119 CH user farmers and 116 non-user farmers selected purposively. Preliminary analysis was conducted using regression which was estimated with the Ordinary Least Square (OLS) method. Since OLS estimated regression is prone to sample selection bias, subsequent analysis is conducted using the Propensity Score Matching (PSM) estimator with a logistic regression. The PSM analysis support the regression analysis that CH reduces harvest loss. Based on the Stratification Matching, it was found that the CH reduces harvest loss by up to 200.39 kg per hectare or around 3.52% of total yield. It is recommended that the Government facilitates provision of technical assistance and training for CH operator farmers or farmers’ groups particularly the first users aid recipients. The harvest reduction advantage is an additional reason for supporting feasibility of CH scaling out policy in Indonesia.<br /><br /><br /><strong>Indonesian</strong><br />Bantuan combined harvester (CH) padi adalah salah satu instrumen kebijakan pemerintah Indonesia untuk mendorong peningkatan produksi dan pendapatan petani padi. Walau manfaat utamanya adalah untuk menghemat ongkos dan mempercepat panen, CH juga dapat mengurangi kehilangan panen. Penelitian ini bertujuan untuk menghitung kuantitas pengurangan kehilangan hasil usaha tani padi jika panen dilakukan dengan CH. Penelitian dilakukan menggunakan data primer dari 119 petani pengguna dan 116 petani nonpengguna CH yang dipilih sengaja di Provinsi Banten pada tahun 2014. Analisis awal dilakukan dengan regresi yang diduga dengan kwadrat terkecil biasa (OLS). Untuk mengatasi potensi bias sampel pada analisis regresi OLS, selanjutnya digunakan penduga Propensity Score Matching (PSM) dengan mempergunakan regresi logistik. Hasil analisis PSM memverifikasi efek positif penggunaan CH terhadap kehilangan hasil berdasarkan analisis regresi OLS. Berdasarkan Stratification Matching didapatkan bahwa penggunan CH dapat menekan kehilangan hasil sebesar 200,39 kg per hektare atau sekitar 3,52% dari total hasil. Disarankan agar pemerintah memfasilitasi pendampingan dan pelatihan teknis kepada petani atau kelompok tani operator, utamanya pengguna pertama penerima bantuan. Manfaat mengurangi kehilangan panen memperkuat kelayakan kebijakan perluasan penggunaan CH di Indonesia.


2019 ◽  
Vol 3 (2) ◽  
pp. 81
Author(s):  
Falahuddin Falahuddin ◽  
Fuadi Fuadi ◽  
Muhammad Rizki Ramadhan

This research is to find out the factors that influence the community Waqf Interest in Lhokseumawe City. The data used are primary data with a sample of 100 respondents. The data analysis method uses multiple linear regression with OLS (Ordinary Least Square) method. The results showed that community religious knowledge had a positive and not significant effect on waqf interest in Lhokseumawe. Perception of Waqf has a positive and insignificant effect on community Waqf Interest in Lhokseumawe City, and Revenue has a positive and insignificant effect on Waqf Community Interest in Lhokseumawe City. The determination test results used were 4%. Keywords: Wakaf Interests, Religiosity Knowledge, Wakif Perception, Income.


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