scholarly journals FAKTOR-FAKTOR YANG MEMPENGARUHI KEMAMPUAN MICROTEACHING MAHASISWA

2015 ◽  
pp. 227-238
Author(s):  
Siti Rohmah Rohimah ◽  
Ismah Ismah

Abstrak:Tujuan penelitian ini adalah untuk mengetahui faktor-faktor yang mempengaruhi kemampuan microteaching mahasiswa. Penelitian ini merupakan penelitian kuantitatif yang menggunakan analisis regresi linear berganda. Populasi penelitian ini adalah seluruh mahasiswa Program Studi Pendidikan Matematika semester 6 yang sedang mengambil mata kuliah Pembinaan Kompetensi Mengajar (Microteaching) tahun ajaran 2012/2013 pada Fakultas Ilmu Pendidikan Universitas Muhammadiyah Jakarta yang berlokasi di Cirendeu. Data dikumpulkan dari nilai hasil akhir setiap mata kuliah Media dan Teknologi Pembelajaran, Strategi Pembelajaran Matematika, dan Perencanaan Pembelajaran Matematika. Nilai kemampuan mengajar dikumpulkan menggunakan Microteaching Test Performance setiap mahasiswa yang terintegrasi dalam nilai akhir dari mata kuliah Pembinaan Kompetensi Mengajar. Kemudian dilakukan uji asumsi yang harus dipenuhi dalam regresi linear berganda yaitu uji multikolinearitas, uji autokorelasi, uji heteroskedastisitas, dan uji linearitas. Hasil penelitian menunjukkan bahwa variabel nilai mata kuliah Media dan Teknologi Pembelajaran (X1), Strategi Pembelajaran Matematika (X2), dan Perencanaan Pembelajaran Matematika (X3) secara bersamaan mempengaruhi nilai mata kuliah Pembinaan Kompetensi Mengajar (Y) secara signifikan. Koefisien determinasi dari model regresi sebesar 0.37. Hal ini berarti bahwa varian nilai mata kuliah Pembinaan Kompetensi Mengajar (Y) mampu dijelaskan sebesar 37% oleh variabel nilai mata kuliah X1, X2, dan X3. Sedangkan 63% sisanya oleh faktor lainnya. Semoga hasil penelitian ini bisa menjadi bahan literatur untuk penelitian berikutnya dengan menentukan lebih banyak lagi faktor yang mempengaruhi kemampuan microteaching mahasiswa.Kata Kunci: kemampuan microteaching, regresi linear berganda, koefisien determinasiAbstract:The aim of this research is to determine the factors affecting the students’ microteaching ability. This research is a quantitative research which applies multiple linear regression analysis. The population is all 6th semester students of Mathematic Education Program at Education Faculty of Universitas Muhammadiyah Jakarta who are taking microteaching subject in 2012/2013 academic year. Data are from their final scores of three subjects: Media and Instructional Technology, Math Learning Strategy, and Math Learning Plan. Microteaching capacity scores are based on their Microteaching Test Performance integrated in their final Microteaching subject score. Then, assumption test that must be met in multiple linear regression is carried out which are multicolinearity test, autocorrelation test, heteroscedacticity test, and linearity test. The result shows that the score variables of Media and Instructional Technology (X1), Math Learning Strategy (X2), and Math Learning Plan (X3) collectively effect the score of Microteaching (Y) significantly. Determination coefficient of regression model is 0.37, meaning that the variable of Microteaching (Y) subject score can be explained by variables X1, X2, and X3 of 37%. The rest of 63% is explained by other variables. Hopefully, this researchcan be reference for continuous research on students’ microteaching capacity with more affecting factors.Keywords: microteaching capacity, multiple linear regression, determination coefficient

2015 ◽  
pp. vi-xv
Author(s):  
Redaksi TEKNODIK

FAKTOR-FAKTOR YANG MEMPENGARUHI KEMAMPUAN MICROTEACHING MAHASISWAFACTORS THAT AFFECT THE STUDENTS’ MICROTEACHING ABILITYAbstrak:Tujuan penelitian ini adalah untuk mengetahui faktor-faktor yang mempengaruhi kemampuan microteaching mahasiswa. Penelitian ini merupakan penelitian kuantitatif yang menggunakan analisis regresi linear berganda. Populasi penelitian ini adalah seluruh mahasiswa Program Studi Pendidikan Matematika semester 6 yang sedang mengambil mata kuliah Pembinaan Kompetensi Mengajar (Microteaching) tahun ajaran 2012/2013 pada Fakultas Ilmu Pendidikan Universitas Muhammadiyah Jakarta yang berlokasi di Cirendeu. Data dikumpulkan dari nilai hasil akhir setiap mata kuliah Media dan Teknologi Pembelajaran, Strategi Pembelajaran Matematika, dan Perencanaan Pembelajaran Matematika. Nilai kemampuan mengajar dikumpulkan menggunakan Microteaching Test Performance setiap mahasiswa yang terintegrasi dalam nilai akhir dari mata kuliah Pembinaan Kompetensi Mengajar. Kemudian dilakukan uji asumsi yang harus dipenuhi dalam regresi linear berganda yaitu uji multikolinearitas, uji autokorelasi, uji heteroskedastisitas, dan uji linearitas. Hasil penelitian menunjukkan bahwa variabel nilai mata kuliah Media dan Teknologi Pembelajaran (X1), Strategi Pembelajaran Matematika (X2), dan Perencanaan Pembelajaran Matematika (X3) secara bersamaan mempengaruhi nilai mata kuliah Pembinaan Kompetensi Mengajar (Y) secara signifikan. Koefisien determinasi dari model regresi sebesar 0.37. Hal ini berarti bahwa varian nilai mata kuliah Pembinaan Kompetensi Mengajar (Y) mampu dijelaskan sebesar 37% oleh variabel nilai mata kuliah X1, X2, dan X3. Sedangkan 63% sisanya oleh faktor lainnya. Semoga hasil penelitian ini bisa menjadi bahan literatur untuk penelitian berikutnya dengan menentukan lebih banyak lagi faktor yang mempengaruhi kemampuan microteaching mahasiswa.Kata Kunci: kemampuan microteaching, regresi linear berganda, koefisien determinasiAbstract:The aim of this research is to determine the factors affecting the students’ microteaching ability. This research is a quantitative research which applies multiple linear regression analysis. The population is all 6th semester students of Mathematic Education Program at Education Faculty of Universitas Muhammadiyah Jakarta who are taking microteaching subject in 2012/2013 academic year. Data are from their final scores of three subjects: Media and Instructional Technology, Math Learning Strategy, and Math Learning Plan. Microteaching capacity scores are based on their Microteaching Test Performance integrated in their final Microteaching subject score. Then, assumption test that must be met in multiple linear regression is carried out which are multicolinearity test, autocorrelation test, heteroscedacticity test, and linearity test. The result shows that the score variables of Media and Instructional Technology (X1), Math Learning Strategy (X2), and Math Learning Plan (X3) collectively effect the score of Microteaching (Y) significantly. Determination coefficient of regression model is 0.37, meaning that the variable of Microteaching (Y) subject score can be explained by variables X1, X2, and X3 of 37%. The rest of 63% is explained by other variables. Hopefully, this researchcan be reference for continuous research on students’ microteaching capacity with more affecting factors.Keywords: microteaching capacity, multiple linear regression, determination coefficient


2019 ◽  
Vol 3 (2) ◽  
pp. 439
Author(s):  
Suwarto Suwarto ◽  
Risa Anggraini

This research is motivated by customer satisfaction which is a customer action to save. The purpose of this study was to determine the ef ect of location, quality of savings products, service quality on customer satisfaction. In this study using primary data collected by explanatory research methods and sample collection techniques in the form of accidental sampling of BMT customers Adzkiyah Khidmatul Ummah using a questionnaire with a likert skla in BMT Adzkiyah Khidmatul Ummah in Metro City. Testing the instrument requirements used include validity, reliability testing. Requirements analysis using normality test, linearity test, homogeneity test. And analysis tools using multiple linear regression with partial test (t test), simultaneous test (f test), coef icient of determination test (R2). As testing requirements analysis and hypothesis testing. Based on the results of research using multiple linear regression analysis obtained location influences customer satisfaction, the quality of savings products does not af ect customer satisfaction, and service quality influences customer satisfaction.


Author(s):  
Alexandre De Jesus lay ◽  
I.G.B. Wiksuana

The aim of the study was to determine the effect of Liquidity, Solvency, and Activity on the profitability of the company of Mira Mar-Block Dili East Timor. The data used was obtained from the financial statements of the company of Mira-Mar Block, Dili, East Timor, in the form of Balance Sheet and Income Statement. After the data was collected then analyzed by using multiple linear regression analysis models. This analysis model used normality test, autocorrelation, multi co-linearity test, and permanent test of regression models. The Multiple Linear Regression analysis results showed that the Liquidity Ratio (CR) significantly effects on the Profitability (ROE), while the Solvency Ratio (DER) and the Ratio of Activity (TATO) do not significantly effect on the Profitability (ROE).


2019 ◽  
Vol 5 (2) ◽  
pp. 124
Author(s):  
Virlia Dian Fridayanti ◽  
Dwi Prasetyanto

ABSTRAKKecelakaan lalu lintas merupakan hasil dari kombinasi faktor-faktor penyebab  yang yang terdiri dari faktor manusia, kendaraan, jalan, dan lingkungan. Penelitian ini bertujuan untuk mengetahui variabel dominan dari beberapa faktor penyebab kecelakaan dengan memodelkan hubungan antara angka korban kecelakaan lalu lintas dengan variabel faktor penyebab kecelakaan di Jalan Tol Purbaleunyi pada tahun 2015–2017. Data yang digunakan pada penelitian ini berupa data sekunder yang terdiri dari data jumlah korban dan jumlah kecelakaan yang diakibatkan oleh faktor-faktor penyebab kecelakaan. Metode penelitian yang digunakan dalam penelitian ini adalah metode analisis regresi linear berganda dengan melakukan uji linearitas dan uji korelasi terlebih dahulu. Uji linearitas digunakan untuk memastikan apakah data yang akan dianalisis dapat menggunakan analisis regresi linear atau tidak, sedangkan uji korelasi digunakan untuk menentukan hubungan antara variabel baik antara sesama variabel bebas maupun antara variabel peubah bebas dengan variabel peubah tidak bebas. Berdasarkan hasil penelitian yang dilakukan pada tahun 2015–2017, variabel utama faktor kecelakaan diakibatkan oleh faktor manusia dan faktor kendaraan yaitu variabel mengantuk ( ) dan rem blong ( ).Kata kunci: Kecelakaan lalu lintas, faktor penyebab kecelakaan lalu lintas, regresi linear berganda. ABSTRACTTraffic accidents are the result of a combination of factors causes which consists of the human factor, vehicle, road, and environment. This study aims to determine the majority of the accidents variable of several factors that cause accidents by modeling the relationship between the numbers of traffic accident victims with variable factors causing the accident on Highway Purbaleunyi in 2015–2017. The data used in this study of secondary data consists of data on the number of victims and the number of accidents caused by factors that cause accidents. The method used in this research is multiple linear regression analysis to test the linearity and correlation test beforehand. Linearity test used to determine whether the data will be analyzed using linear regression analysis or not, whereas the correlation test was used to determine the relationship between both variables among the independent variables and the independent variables with the variable variable variable is not free. Based on the results of research conducted in 2015–2017, the main variable of the accident factor is caused by human factors and vehicle factors, which are variable drowsiness ( ) and brake failure ( ).Keywords: Traffic accidents, the causes of traffic accidents, multiple linear regression.


2020 ◽  
Vol 6 (01) ◽  
pp. 33-38
Author(s):  
Haykal Abidin ◽  
Awawin Mustana Rohmah

Lamongan Regency is one of the regencies in East Java which is quite potential to support economic needs. One of the potentials in Lamongan is the entertainment and recreation sector, in this case tourism. Tourism is one of the sectors that has experienced an increase in investment so that it is able to increase economic activity and have an impact on Regional Original Income (PAD). To determine the effect of the amount of tourism on PAD in Lamongan Regency, multiple linear regression analysis and determination coefficient analysis were carried out. The results of this study indicate that the number of tourists greatly influences the PAD in Lamongan Regency and has increased.


2017 ◽  
Vol 17 (1) ◽  
pp. 105-116
Author(s):  
Zulkifli Zulkifli

The performance of a lecturer at a university is influenced by several variables. This research was conducted at Jabal Ghafur University using three variables; workload, working environment and compensation towards the performance of the lecturers of Jabal Ghafur University. The objective of the research was to find out the effect of workload, working environment and compensation towards the performance of the lecturers. Data were collected by distributing questionnaires to 120 lecturers of Jabal Ghafur University. Analytical tool used in this study to measure its effect was multiple linear regression analysis. The results showed that simultaneous workload, working environment, and compensation affect the performance of the lecturers and the effect is significant at 5% df. Correlation of independent variables on the dependent variable was perfect and determination coefficient stated that workload, working environment and compensation revealed that the performance of the lecturers of Jabal Ghafur University was 90.8%. It can be concluded that workload, working environment and compensation had a significant effect and it is suggested that the lecturers should be given opportunity to continue their study to a higher level.Keywords: Workload, Working Environment, Compensation,Lecturers’ Performance


2019 ◽  
Vol 3 (2) ◽  
pp. 427
Author(s):  
Tika Ayuningsih ◽  
Suwarto Suwarto

The background of this study is work performance which is an achievement achieved. The purpose of this research is to determine the ef ect of work discipline, work ethic and work productivity af ect work performance. In this research using primary data collected by descriptive survey method and sampling techniques in the form of census sampling and saturated sampling of 60 people. Respondents of the Regional Tax and Retribution Management, Of ice of Metro City. Testing the instrument requirements used include validity and reliability, normality test, homogeneity test, linearity test and regression significance as testing the requirements for multiple linear regression analysis. Based on the results of research using multiple linear regression analysis obtained work, discipline does not influence work performance, work ethic has an ef ect on work performance and productivity does not af ect employee performance.  


Author(s):  
Eka Ambara Harci Putranta ◽  
Lilik Ambarwati

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.


Author(s):  
Muhammad Rois Rois ◽  
Manarotul Fatati Fatati ◽  
Winda Ihda Magfiroh

This study aims to determine the effect of Inflation, Exchange Rate and Composite Stock Price Index (IHSG) to Return of PT Nikko Securities Indonesia Stock Fund period 2014-2017. The study used secondary data obtained through documentation in the form of PT Nikko Securities Indonesia Monthly Net Asset (NAB) report. Data analysis is used with quantitative analysis, multiple linear regression analysis using eviews 9. Population and sample in this research are PT Nikko Securities Indonesia. The result of multiple linear regression analysis was the coefficient of determination (R2) showed the result of 0.123819 or 12%. This means that the Inflation, Exchange Rate and Composite Stock Price Index (IHSG) variables can influence the return of PT Nikko Securities Indonesia's equity fund of 12% and 88% is influenced by other variables. Based on the result of the research, the variables of inflation and exchange rate have a negative and significant effect toward the return of PT Nikko Securities Indonesia's equity fund. While the variable of Composite Stock Price Index (IHSG) has a negative but not significant effect toward Return of Equity Fund of PT Nikko Securities Indonesia


2019 ◽  
Vol 12 (1) ◽  
pp. 1-11
Author(s):  
Faid Gul ◽  
Karamat Khan

Behavioral Finance is an evolving field that studies how psychological factors affect decision making under uncertainty. Herding behavior is one of the psychological factors that instigate investor to mimic the actions of other investors in the market rather than using his personal assessments. This study seeks to find the influence of certain attitudinal factors namely, decision conformity, hasty decision, mood, decision accuracy, and overconfidence, on the individual investor tendency to embrace herd behavior. Primary data for the study are collected using structured questionnaires from a sample of 194 investors who are trading at Islamabad and Lahore branches of Pakistan Stock Exchange. Multiple linear regression analysis is used to test the hypotheses of this study. Findings of this study provide evidence that attitudinal factors have a significant influence on investor’s tendency to take on herd behavior. It is concluded from the results of multiple linear regression that decision conformity, mood, and decision accuracy have a significant impact on individual investor tendency to adopt herd behavior. However, investor hasty decision and overconfidence is insignificant predictors of herd behavior. Keywords: Decision conformity, Hasty decision, Mood, Decision accuracy, Overconfidence, Herd behavior


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