Nowadays, private universities in west Java, especially in Bandung city, grow and develop fast. Educators are the most important aspect to improve higher education quality. We are talking about lecturers in this case. Government rule says in teacher and lecturer act No. 14 year 2015 that lecturer is professional educator and scientist who transform, develop, and propagate science, technology, and art through education, research, and society dedication. Lecturer is educator who has important role in transforming learners, and lecturer has to have good qualification of academic and character. Lecturer is prosecuted to present good ISSN 2162-3058 2017 http://ijhrs.macrothink.org 232 performance. A high lecturer performance influences a higher education quality. This research is aimed to figure out the factors that influence lecturer performance. Performance factors of lecturer include experience, skill, age, sex, education, work period, responsibility, work satisfaction, perception, motivation, leadership, fee, supervision, and work condition (Robbins S P, 2011). There are seven (7) factors, in this research, that influence lecturer performance in learning process in private universities in Bandung city such as age, education, work period, work motivation, work satisfaction, fee perception and supervision perception. The result of the research says X 1 variable (age) influences in the amount of 0,069, X 2 variable (education) influences in the amount of 0,571; X 3 variable (work period) influences in the amount of 0,034; X 4 variable (work motivation) influences in the amount of 1,185; X 5 variable (work satisfaction) influences in the amount of 0,554; X 6 variable (fee perception) influences in the amount of -0,38; X 7 variable (supervision perception) influences in the amount of 0,209. International Journal of Human Resource Studies
This research aims to find out how much macroeconomic factors indicated by variable Inflation rate and Interest Rate (BI Rate) and fundamental factors indicated by market capitalization, Price Earning Ratio (PER) and Price Book Value (PBV) affect to Sharia Stock Return of trade, services and investment sector companies in JII during the period 2014-2018. The method in this research is quantitative and descriptive research methods. The populations in this study were companies in the trade, services and investment sectors in JII using purposive sampling technique, namely sampling with the criteria of companies that routinely distribute dividends during the study period. Multiple correlation tests shows the R value of 0.824, This means that variables in macroeconomics and variables in company fundamentals have an effect of 82.4% on stock returns with a very strong correlation level. The value of the coefficient of determination indicates the inflation rate, BI Rate, market capitalization, PER and PBV can explain the return variable of 50.1%, while 49.9% is explained by other variables outside the research model. The results show that partially the inflation rate and the BI Rate have a positive and insignificant effect on sharia stock returns, while market capitalization has a positive and significant effect, PER has a positive and significant effect and PBV has a significant negative effect on Islamic stock returns. Simultaneously the inflation rate and interest rate (BI Rate), market capitalization, Price Earnings Ratio (PER) and Price Book Value (PBV) have a significant effect on sharia stock returns of trade, services and investment companies in JII during the period 2014-2015. This means that Islamic investors are advised to further analyze the company's fundamental factors before investing in Islamic instruments, because the investment in Islamic instruments has anticipated economic factors, so the return on Islamic stocks tends to be smaller than conventional stock returns.
Paper ini bertujuan untuk melakukan analisis faktor-faktor yang mempengaruhi risiko gagal bayar dari calon debitur. Metode yang digunakan adalah regresi logistic dan Ant Colony Optimization (ACO). Terdapat beberapa tahap dalam penelitian ini: (1) melakukan standarisasi data pada data faktor risiko calon debitur, (2) menetapkan asumsi model regresi logistik, (3) melakukan estimasi parameter model regresi logistik menggunakan algoritma ACO, dan (4) melakukan uji signifikansi setiap variabel. Dalam paper ini, data yang digunakan adalah data historis debitur sebuah Bank pada periode 2001-2011 pada Lembaga Keuangan Mikro (LKM) di Bandung, Indonesia. Hasilnya signifikansi koefisien regresi menunjukkan bahwa lima faktor yang dianalisis berpengaruh signifikan terhadap risiko gagal bayar, yaitu: usia, jumlah tanggungan keluarga, nilai jaminan, besarnya kredit yang diajukan, dan jangka waktu pengembalian kredit, dengan kekuatan korelasi sebesar 93.5%. Probabilitas risiko gagal bayar ditentukan oleh kelima faktor yang mempengaruhi. Mengetahui nilai probabilitas sangat berguna bagi LKM guna menentukan klasifikasi faktor kelayakan pemberian kredit berdasarkan predikat risiko calon debitur. Demikian sehingga, LKM dapat mengetahui faktorfaktor risiko gagal bayar dan mengambil keputusan pemberian kredit yang layak atau tidak layak.
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