PENGARUH NILAI TUKAR RUPIAH DAN INFLASI TERHADAP INDEKS SAHAM SYARIAH INDONESIA TAHUN (2015-2019)

Penelitian ini bertujuan untuk mengetahui pengaruh Inflasi dan nilai tukar rupiah (kurs) terhadap Indeks Saham Syariah Indonesia selama tahun 2015-2019. Penelitian ini merupakan penelitian kuantitatif dengan menggunakan metode pengumpulan data sekunder dengan metode pengambilan sampel yaitu Purpose Sampling, data yang diperoleh kemudian diolah dengan menggunakan alat bantu SPSS versi 16. Teknik analisis yang digunakan adalah regresi linier berganda, sementara uji hipotesis menggunakan uji - T serta uji - F dengan tingkat signifikansi 5%. Pengujian asumsi klasik yang digunakan dalam penelitian ini meliputi uji normalitas, multikolinearitas, heteroskedastisitas dan autokorelasi. Hasil penelitian ini bahwa Uji T test menunjukkan bahwa pengaruh variabel Nilai Tukar Rupiah (kurs) tidak berpengaruh signifikan dengan nilai signifikansi sebesar 0,233 > 0,05 terhadap Indeks Saham Syariah Indonesia (ISSI), sedangkan pengaruh variabel Inflasi memiliki pengaruh yang signifikan terhadap indeks saham syariah indonesia (ISSI) dengan nilai signifikansi 0,000 < 0,05. Uji F test menunjukkan pengaruh variabel nilai tukar rupiah (kurs) dan inflasi secara simultan berpengaruh signifikan terhadap indeks saham syariah indonesia (ISSI) dengan nilai 0,000 < 0,05 dan sebesar 16,546 lebih besar dari 3,15. Adapun hasil perhitungan koefisien determinasi () dengan nilai 0,367. Hal ini dapat menjelaskan variabel kurs dan inflasi berpengaruh sebesar 36,7% terhadap ISSI.

Feature Extraction from MRI ADC Images for Brain Tumor Classification Using Machine Learning Techniques

Background: Diffusion-weighted (DW) imaging is a well-recognized magnetic resonance imaging (MRI) technique that is being routinely used in brain examinations in modern clinical radiology practices. This study focuses on extracting demographic and texture features from MRI Apparent Diffusion Coefficient (ADC) images of human brain tumors, identifying the distribution patterns of each feature and applying Machine Learning (ML) techniques to differentiate malignant from benign brain tumors.Methods: This prospective study was carried out using 1599 labeled MRI brain ADC image slices, 995 malignant, 604 benign from 195 patients who were radiologically diagnosed and histopathologically confirmed as brain tumor patients.The demographics, mean pixel values, skewness, kurtosis, features of Grey Level Co-occurrence Matrix (GLCM), mean, variance, energy, entropy, contrast, homogeneity, correlation, prominence and shade, were extracted from MRI ADC images of each patient.At the feature selection phase, the validity of the extracted features were measured using ANOVA f-test. Then, these features were used as input to several Machine Learning classification algorithms and the respective models were assessed.Results: According to the results of ANOVA f-test feature selection process, two attributes: skewness (3.34) and GLCM homogeneity (3.45) scored the lowest ANOVA f-test scores. Therefore both features were excluded in continuation of the experiment. From the different tested ML algorithms, the Random Forest classifier was chosen to build the final ML model since it presented the highest accuracy. The final model was able to predict malignant and benign neoplasms with an 90.41% accuracy after the hyper parameter tuning process.Conclusion: This study concludes that the above mentioned features (except skewness and GLCM homogeneity) are informative to identify and differentiate malignant from benign brain tumors. Moreover, they enable the development of a high-performance ML model that has the ability to assist in the decision-making steps of brain tumor diagnosis process, prior to attempting invasive diagnostic procedures such as brain biopsies.

Assessment of risk factors in medical data using improved Binary Artificial Fish Swarm Algorithm with Classification upon Evaluation from F-Test

The objective of this research work is to effectively deploy improved Binary Artificial Fish Swarm optimization Algorithm (BAFSA) with the data classification techniques. The improvement has been made with accordance to the condition of visual scope and the movement of fish to update towards the central position and chasing behavior towards best point of movement has been modified among the given population. The experimental results show that feature selection by BAFSA and classification by Decision trees and Gaussian Naïve bayes algorithm provides an improved accuracy of about 89.6% for Pima Indian diabetic dataset, 91.1% for lenses dataset and 94.4% for heart disease dataset. Statistical analysis has also been made using Fisher’s F-Test for two sample variance and the selected risk factors such as glucose, insulin level, blood pressure for diabetics datasets, spectacle prescription, tear production rate for lenses dataset and trestbps, cholesterol level, thalach, chest pain type for heart disease dataset are found to be significant with R2&lt;0.001 respectively.

Assessment of risk factors in medical data using improved Binary Artificial Fish Swarm Algorithm with Classification upon Evaluation from F-Test

The objective of this research work is to effectively deploy improved Binary Artificial Fish Swarm optimization Algorithm (BAFSA) with the data classification techniques. The improvement has been made with accordance to the condition of visual scope and the movement of fish to update towards the central position and chasing behavior towards best point of movement has been modified among the given population. The experimental results show that feature selection by BAFSA and classification by Decision trees and Gaussian Naïve bayes algorithm provides an improved accuracy of about 89.6% for Pima Indian diabetic dataset, 91.1% for lenses dataset and 94.4% for heart disease dataset. Statistical analysis has also been made using Fisher’s F-Test for two sample variance and the selected risk factors such as glucose, insulin level, blood pressure for diabetics datasets, spectacle prescription, tear production rate for lenses dataset and trestbps, cholesterol level, thalach, chest pain type for heart disease dataset are found to be significant with R2&lt;0.001 respectively.

Pengaruh Iklim Organisasi Dan Kepuasan Kerja Terhadap Kinerja Karyawan

This study is to examine the influence: between atmosphere of the organization and employees’ satisfaction against the employees’ performance partially or simultaneously. The good atmosphere of the organization became more effective in increasing employees’ work satisfaction; and finally obtain good employees’ performance. This situation cannot be found in this company. This study used descriptive methode. All of employees became sample (36 people). The data was collected by observation, interview and questioner. The data were analyzed by using multiple regression analysis with F-test (simultaneous) and T-test (partial) at the significance level of 95%. The result of the study provides a conclusion as follow: 1. There is a significant influence between organization atmosphere against the employees’ performance in PT. Yuri Cakra Brothers. (2) There is a significant influence between employees’ satisfaction against the employees’ performance in PT. Yuri Cakra Brothers, (3) There is a significant influence between organization atmosphere and employees’ satisfaction altogether against employees’ performance in PT. Yuri Cakra Brothers.

Pengaruh Karakteristik Individu, Karakteristik Pekerjaan Dan Efikasi Diri Terhadap Kinerja Karyawan (Studi Pada Karyawan Bagian Gudang PT. Hyup Sung Indonesia, Purbalingga)

ABSTRAK Penelitian ini bertujuan untuk mengetahui Pengaruh Karakteristik Individu, Karakterstik Pekejeraan Dan Efikasi Diri Terhadap Kinerja Karyawan Bagian Gudang PT.Hyup Sung Indonesia, Purbalingga. Jumlah populasi penelitian ini sebanyak 108 karyawan. Sampel pada penelitian ini sebanyak 108 karyawan dengan menggunakan teknik sample jenuh. Analisis yang digunakan adalah Uji f, Uji t dan R2adjusted. Hasil penelitian ini berdasarkan Uji f di peroleh Karakteristik individu, karakteristik pekerjaan dan efikasi diri secara simultan berpengaruh terhadap kinerja karyawan. Hasil penelitian ini berdasarkan uji t diperoleh; (a) Karakteristik Individu berpengaruh positif dan signifikan terhadap kinerja karyawan. (b) Karakteristik Pekerjaan berpengaruh positif dan signifikan terhadap kinerja karyawan. (c) Efikasi Diri berpengaruh positif dan signifikan terhadap kinerja karyawan. Berdasarkan uji koefisien determinasi R2adjusted menunjukkan besarnya pengaruh Karakteristik Individu, Karakteristik Pekerjaan dan Efikasi Diri terhadap kinerja karyawan sebesar 51,1%, sedangkan sisanya sebesar 48,9% dipengaruhi variabel diluar model penelitan. ABSTRACT This study aims to determine the effect of individual characteristics, work characteristics and self-efficacy on employee performance in the warehouse division of PT. Hyup Sung Indonesia, Purbalingga. The total population of this study were 108 employees. The sample in this study were 108 employees using the saturated sample technique. The analysis used is the f test, t test and R2 adjusted. The results of this study based on the f test obtained that individual characteristics, job characteristics and self-efficacy simultaneously affect employee performance. The results of this study based on the t-test obtained; (a) Individual characteristics have a positive and significant effect on employee performance. (b) Job characteristics have a positive and significant effect on employee performance. (c) Self-efficacy has a positive and significant effect on employee performance. Based on the coefficient of determination R2adjusted, it shows that the influence of individual characteristics, job characteristics and self-efficacy on employee performance is 51.1%, while the remaining 48.9% is influenced by variables outside the research model.

What Determines the Financial Performance of Islamic Banks in Indonesia?

This study aims to determine the effect of the Capital Adequacy Ratio (CAR), Non-Performing Financing (NPF), and Operational Efficiency Ratio (OER) at Islamic Commercial Banks in Indonesia for the 2010-2019 period. The test was carried out using panel data regression with the Random Effect Model (REM) model, tested using the t-test and f test with a significance of 5%. Based on the results of the t-test, partially, OER has a negative and significant effect on Return on Assets (ROA), whilst NPF and CAR do not significantly affect ROA. Moreover, the results of the F-test show that CAR, NPF, and OER simultaneously affect ROA. The results of this study indicate that to maximize the financial performance of Islamic banking in Indonesia, the Islamic banks must pay attention to the OER variable.==========================================================================================================ABSTRACT - Determinan Apa yang Mempengaruhi Kinerja Keuangan Bank Syariah di Indonesia? Penelitian ini bertujuan untuk menganalisis pengaruh Capital Adequacy Ratio (CAR), Non-Performing Financing (NPF), dan Beban Operasional terhadap Pendapatan Operasional (BOPO) pada Bank Umum Syariah di Indonesia periode 2010-2019. Pengujian dilakukan menggunakan regresi data panel dengan model Random Effect Model (REM) yang pengujiannya menggunakan uji t dan uji f dengan signifikansi yaitu 5%. Berdasarkan hasil uji t, secara parsial BOPO berpengaruh negatif dan signifikan terhadap Return on Asset (ROA), sedangkan variabel NPF dan CAR tidak memiliki pengaruh yang signifikan terhadap ROA. Selanjutnya, hasil uji F menunjukkan bahwa CAR, NPF, dan BOPO secara simultan berpengaruh terhadap ROA. Hasil penelitian ini memberikan rekomendasi kepada Bank Syariah di Indonesia agar memberikan perhatian yang lebih serius terhadap variabel BOPO jika ingin memaksimalkan kinerja keuangannya..

PENGARUH PANDEMI COVID-19 SECARA PSIKOLOGIS, ETOS KERJA, OMZET TERHADAP PRODUKTIVITAS USAHA MIKRO KECIL DAN MENENGAH DI KABUPATEN SLEMAN YOGYAKARTA

The purpose of this study was to determine the psychological effect of the Covid-19 pandemic, work ethic and turnover on the productivity of micro, small and medium enterprises in Sleman Regency, Yogyakarta. Data collection techniques through interviews with data collection instruments in the form of questionnaires. This study uses quantitative analysis techniques using validity test, reliability test, classical assumption test, multiple linear regression analysis, coefficient of determination, significance test (t test and F test). The results of the study obtained the results of the regression equation Y = -0.164 + 0.355 X1 + 0.447 X2 + 0.253 X3, while from the F test results, the calculated f value is 61.355, above the standard Sig significance value of 0.000 or f table of 3.97, or the value of significant is less than 0.05, which means that the Covid-19 pandemic psychologically, work ethic and turnover affect the productivity of micro, small and medium enterprises in Sleman Regency, Yogyakarta. Keywords : Covid-19 Pandemic, Psychological, Work Ethic, Turnover, Productivity

PRODUÇÃO E MATÉRIA SECA DO INHAME FERTIRRIGADO COM BIOFERTILIZANTE

PRODUÇÃO E MATÉRIA SECA DO INHAME FERTIRRIGADO COM BIOFERTILIZANTE EDIMIR XAVIER LEAL FERRAZ1; RAQUELE MENDES DE LIRA1; ANTONIO HENRIQUE CARDOSO DO NASCIMENTO2; ISAAC LIMA SIMÕES DE VASCONCELOS1; ROBERTO ELIAS DOS SANTOS1 E IRLÂNDIO DE SÁ SANTANA1 1 Departamento de Agronomia, Universidade Federal Rural de Pernambuco (UFRPE-UAST), Av. Gregório Ferraz Nogueira, s/n, CEP 56909-535, Serra Talhada, Pernambuco, Brasil. 2 Departamento de Zootecnia, Universidade Federal Rural de Pernambuco (UFRPE-UAST), Av. Gregório Ferraz Nogueira, s/n, CEP 56909-535, Serra Talhada, Pernambuco, Brasil. 1 RESUMO Objetivou-se avaliar a influência da aplicação de diferentes doses de biofertilizante via fertirrigação, sobre a produção e acúmulo de matéria seca de rizomas de inhame. O delineamento experimental utilizado foi em blocos casualizados, com cinco tratamentos e quatro repetições. Os tratamentos foram compostos por cinco doses de biofertilizante (D1 = 0 ml planta-1; D2 = 30 ml planta-1; D3 = 60 ml planta-1; D4 = 90 ml planta-1; D5 = 120 ml planta-1). Aos 210 dias após o plantio realizou-se a colheita e através de pesagem com balança de precisão avaliou-se a produção e a matéria seca dos rizomas de inhame. Esses dados foram submetidos a análise de variância pelo teste F a 1 e 5%, e regressão polinomial. Constatou-se que o aumento das doses de biofertilizantes aplicado via fertirrigação possibilitou incremento na produção e matéria seca, mas com valores inferiores à média produtiva. Palavras chaves: Dioscorea cayennensis Lam., Fertilidade, Irrigação. FERRAZ, E.X.L.; LIRA, R.M.; NASCIMENTO, A.H.C; VASCONCELOS, I.L.S.; SANTOS, R. E.; SANTANA, I.S. YAM PRODUCTION AND DRY MATTER FERTILIZED WITH BIOFERTILIZER 2 ABSTRACT This study aimed to evaluate the influence of the application of different doses of biofertilizer via fertigation on the production and accumulation of dry matter of yam rhizomes. The experimental design used was in a randomized block, with five treatments and four replications. The treatments consisted of five doses of biofertilizer (D1 = 0 ml. plant-1; D2 = 30 ml plant-1; D3 = 60 ml plant-1; D4 = 90 ml plant-1; D5 = 120 ml plant-1). At 210 days after planting, the harvest was carried out and, by weighing with a precision scale, the production and dry matter of the rhizomes of yam were evaluated. These data were submitted to analysis of variance by the F test at 1 and 5%, and polynomial regression. It was found that the increase in the doses of biofertilizers applied via fertigation allowed an increase in production and dry matter, but with values below the average production. Keywords: Dioscorea cayennensis Lam., Fertility, Irrigation.