scholarly journals Factors Affecting Employees’ Preference to Pay Zakat: Case of Amil Zakat Institution of Bogor Agricultural University

2019 ◽  
Author(s):  
Yekti Mahanani ◽  
Tanti Novianti ◽  
Ranti Wiliasih ◽  
Salina Hj Kassim
Keyword(s):  
Logistic Regression ◽  
Data Collection ◽  
Government Regulation ◽  
Higher Learning ◽  
Factors Affecting ◽  
Indonesian Government ◽  
Government Institutions ◽  
Two Factors ◽  
And Gender ◽  
Learning Institutions

The aim of the Indonesian Government Regulation No 14/2014 is to assist the national zakat agency - BAZNAS in zakat collection by forming zakat collector units in government institutions such as in higher learning institutions’ campuses. The Zakat Collector Unit of Amil Zakat Institution of Bogor Agricultural University (LAZ IPB) has been established for this reason in 2003, however, despite being in existence for quite a while, its development has been rather slow. The aim of this study is to explore the potential issues on income zakat and determine factors affecting the employees to pay income zakat using the service of LAZ IPB. Data collection was conducted during the period from 1stApril 2014 to 7thJune 2014. In methodology, the study adopted the Logistic regression technique to analyze the factors affecting the employees to pay zakat with LAZ IPB. The findings showed that two factors, namely service and income level were significant in influencing the employees to pay their income zakat with LAZ IPB. Demographic factors such as occupation and gender are also affecting the preference of employees to pay zakat in LAZ IPB.

scholarly journals Ordinal Logistic Regression Analysis of Factors Affecting the Length of Student Study

2019 ◽  
Vol 5 (1) ◽  
pp. 28-34
Author(s):  
Baiq Rika Ayu Febrilia ◽  
Suning Rahayu ◽  
Baiq Dewi Korida
Keyword(s):  
Logistic Regression ◽  
Ordinal Logistic Regression ◽  
Education Department ◽  
Study Program ◽  
Factors Affecting ◽  
Ordinal Logistic Regression Analysis ◽  
Two Factors ◽  
Depth Study ◽  
And Gender

The length of time a student completes the study period is a measure of the student's achievement and the success of his study program. Because the duration of the study period is quite influential on the quality of a study program and the learning process in it, it is necessary to do a more in-depth study of the factors that influence the duration of student studies. This study aims to model the factors that influence the length of the study period of students using ordinal logistic regression. These factors are the student's GPA and gender. Data on the length of study, GPA and gender were taken for students of the Mathematics Education Department, IKIP Mataram, who graduated in 2017 and 2018. The results of the study showed that the two factors had a significant effect on the length of the study period.

Analysis of cognitive characteristics and influencing factors of mass sports rehabilitation in Taiyuan

2019 ◽  
Author(s):  
Yaye He ◽  
Jiangong Wang ◽  
Liangyuan Zhao
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Health Status ◽  
Influencing Factors ◽  
Logistic Regression Analysis ◽  
Education Level ◽  
Factors Affecting ◽  
Exercise Rehabilitation ◽  
And Gender ◽  
Socio Economic Factors

Abstract Background: To assess the awareness regarding sports rehabilitation among residents of Taiyuan. Method: From September 27, 2018 to March 29, 2019, 1200 residents who met the inclusion/ criteria were selected using convenient sampling method. The population was surveyed by self-designed questionnaires, and single factor and two-category logistic regression analysis (stepwise forward method) was used to identify the factors influencing awareness of mass sports rehabilitation in Taiyuan. Results: A total of 1200 questionnaires were issued, of which 1167 were collected and 1101 were valid. The corresponding recovery and effective recovery rates were 97.25% and 94.34% respectively. The overall rate of awareness of exercise rehabilitation was 80.7%, and education level, occupation, income and health status were significant influencing factors (R<0.05). The results of two-class logistic regression analysis showed that age, occupation, education level, income level and health status were the influencing factors affecting the public's perception of the sports rehabilitation concept (R<0.05), whereas gender, occupation, education level and health status influenced understanding of the establishment of the rehabilitation department in Taiyuan (R<0.05), and gender, age, education level and health status affected understanding of the types of patients receiving rehabilitation (R<0.05). Conclusion: There is a high general awareness regarding sports rehabilitation, and is influenced by various socio-economic factors.

scholarly journals STUDI KASUS FAKTOR-FAKTOR YANG MEMPENGARUHI HASIL BELAJAR MATEMATIKA DI SD NEGERI 01 NANGA MERAKAI

2021 ◽  
Vol 4 (1) ◽  
pp. 60-64
Author(s):  
Dwi Cahyadi Wibowo ◽  
Lhadyza Ocberti ◽  
Adriana Gandasari
Keyword(s):  
Data Collection ◽  
Learning Outcomes ◽  
Mathematics Learning ◽  
Case Study Research ◽  
External Factors ◽  
Internal Factors ◽  
Factors Affecting ◽  
Two Factors ◽  
Collection Data ◽  
Qualitative Descriptive

The purpose of this research is to describe the factors that affect mathematics learning outcomes in class V SD Negeri 01 Nanga Merakai Academic Year 2019/2020. This research uses qualitative research methods with a qualitative descriptive approach with a case study research form.  The research sample consisted of 16 student of class 5th at public elementary school 01 Nanga Merakai. Data collection tools in the form of interview guidelines, questionnaires and documentation studies. Data analysis through several stages of data collection, data persentation, data reduction and conclusion drawing. The results showed that (1) Inhibiting factors affecting mathematics learning outcomes were divided into two factors, namely internal factors and external factors. (2)  Supporting factors for mathematics learning outcomes, the research results are divided into two, namely internal factors and external factors.

scholarly journals Faktor luaran dan hubungannya terhadap pencapaian ujian pengesanan dan jantina pelajar dalam kemahiran menulis Bahasa Arab di Institusi Pengajian Tinggi Malaysia

2020 ◽  
Vol 5 (2) ◽  
pp. 367-376
Author(s):  
Mohamad Rofian Ismail ◽  
Ahmad Redzaudin Ghazali ◽  
Khairatul Akmar Abdul Latif ◽  
Fahed Maromar ◽  
Saupi Man
Keyword(s):  
Pearson Correlation ◽  
Writing Skills ◽  
Higher Learning ◽  
External Factors ◽  
Assessment Tests ◽  
Institutions Of Higher Learning ◽  
University College ◽  
And Gender ◽  
Learning Institutions ◽  
The Relationship

This study was conducted to examine the relationship between external factors on the achievement of assessment tests and gender of students in Arabic writing skills in Malaysian Institutions of Higher Learning. A total of 140 respondents from four Malaysian higher learning institutions (MHLI) were selected, namely Sultan Zainal Abidin University (90 respondents), International Islamic University College of Selangor (25 respondents), Sultan Ahmad Shah Islamic University College, Pahang (9 respondents), and Sultan Ismail Petra International Islamic College (16 respondents) as the study sample. The data obtained were analysed using Statistical Product and Service Solutions (SPSS) version 22.0 software. Inferential analysis method, namely Pearson correlation was used to find the relationship between two different study variables, namely dependent variables and independent variables. The findings showed that there was no significant relationship between external factors on Arabic writing skills based on assessment tests. However, this relationship was found to be significant based on gender of students. This was because the correlation between external factors with student achievement test scores was (r = - 0.062, n = 140, p = 0.463), while the correlation between external factors on gender of students was (r = 0.181, n = 140, p = 0.032). This finding indicates that the relationship between external factors with the assessment test was irrelevant in affecting Arabic writing skills, and was not significant. However, the researchers found that external factors can significantly affect the Arabic writing skills among MHLI students based on gender through the analysis of the study obtained.

scholarly journals Implementation of Data Collection Policy and Tax Information on Directorate General of Taxes

2021 ◽  
Vol 17 (3) ◽  
pp. 365-378
Author(s):  
Redhy Matabean ◽  
Vishnu Juwono
Keyword(s):  
Data Collection ◽  
Government Regulation ◽  
Active Role ◽  
Factors Affecting ◽  
Policy Model ◽  
Directorate General ◽  
Policy Objectives ◽  
High Motivation ◽  
Communication And Coordination

The Directorate General of Taxation has the authority to collect data and information related to taxation from agencies, institutions, associations, and other parties (ILAP) through Government Regulation No. 31 of 2012. Data and information collected from the ILAP, including transaction, identity, licensing, and non-transactional data, are used to build tax databases and explore potential taxation. This study aims to analyze the implementation of data and information collected in the context of taxation and investigate the factors that support and inhibit the implementation by using the variable implementation of the hybrid policy model. This work is qualitative research with a post-positivist approach. Data collection was done by conducting in-depth interviews and literature reviews. Data analysis was carried out through data reduction, presentation, conclusions, and verification. The study showed that the implementation of data collection and information related to taxation has helped the Directorate General of Taxation build a tax database and taxpayer profile. However, there are still obstacles, such as the unavailability of an information system to monitor data use and barriers in incomplete data received. The inhibiting factors affecting implementation are the non-target setting of policy objectives and standards, lack of resources, and inadequate communication and coordination. The factors that support the implementation of this policy are the high motivation of policy implementers, the active role of policy implementers, and the adaptability of implementers.

scholarly journals Knowledge Management System Adoption to Improve Decision-Making Process in Higher Learning Institutions in the Developing Countries: A Conceptual Framework

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Hanan Mohammed Oumran ◽  
Rodziah Binti Atan ◽  
Rozi Nor Haizan Binti Nor ◽  
Salfarina Binti Abdullah ◽  
Muaadh Mukred
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Conceptual Framework ◽  
Management System ◽  
Higher Learning ◽  
Knowledge Management System ◽  
Decision Making Process ◽  
Factors Affecting ◽  
Related Information ◽  
Learning Institutions

Currently, higher learning institutions (HLIs) are facing their most challenging problem in inefficient information management. The knowledge management system (KMS) application calls for providing several benefits to lecturers and students, producing daily information, documenting records for evidence of a transaction, and eventually improving the decision-making process. Knowledge management can be coupled with fuzzy logic to deal with imprecision and uncertainty of data in a KMS. The ICT dynamic development has shifted the HLI operations from manual to electronic-based handling of related information. KMS is one of the systems that are of significant consideration in this regard. Nevertheless, such a system has not been extensively adopted as expected due to users’ rejection of its use. In the present paper, the factors affecting the decision to adopt/reject KMS are highlighted. The study is qualitative and entails a critical review of the related literature concerning the topic, backed by interviews. KMS experts working with highly reputable HLI were interviewed. A total of 11 factors were focused on in light of their effect on the decision to adopt/reject KMS, as argued by the technological adoption theories and literature review. All the factors were validated and placed in ranks by the experts. From the results, a novel conceptual framework of KMS adoption was developed for Libyan HLIs to bring about technology adoption and improved decision-making.

scholarly journals PENERAPAN REGRESI LOGISTIK DALAM PENENTUAN FAKTOR YANG MEMPENGARUHI JUMLAH WISATAWAN ECOTOURISM DESA BEDONO

2020 ◽  
Vol 5 (1) ◽  
pp. 11-22
Author(s):  
Wilis Ari Setyati ◽  
Sunaryo Sunaryo ◽  
Arya Rezagama ◽  
Abel Kristanto Widodo ◽  
M Faisal Alfa Yulianto
Keyword(s):  
Logistic Regression ◽  
Data Collection ◽  
Factors Affecting ◽  
Factors Influencing ◽  
The People ◽  
Determining Factors ◽  
Spss Software ◽  
To Come ◽  
The Village ◽  
Additional Income

Kegiatan pariwisata merupakan salah satu sektor vital yang dapat diandalkan oleh masyarakat suatu desa untuk memperoleh pendapatan tambahan. Desa Bedono merupakan salah satu desa pesisir yang terletak di Kecamatan Sayung, Kabupaten Demak. Sebagai salah satu desa pesisir, Desa Bedono mengalami tekanan dari aktivitas di darat maupun di lautan. Dampak yang paling terlihat adalah rusaknya infrastruktur akibat banjir rob. Hal ini tentu menghambat wisatawan yang ingin datang berkunjung ke Desa Bedono. Penelitian ini bertujuan untuk mengetahui faktor-faktor yang mempengaruhi wisatawan untuk datang ke Desa Bedono. Pengumpulan data dilakukan dengan kuesioner berisi pertanyaan tertutup dengan jumlah responden sebanyak 100. Pengolahan data menggunakan regresi logistic dengan bantuan software SPSS. Hasil penelitian ini menunjukkan bahwa faktor yang mempengaruhi wisatawan untuk datang ke Desa Bedono ada tiga, yaitu: respon warga desa terhadap banjir rob (X1), prioritas masalah lingkungan (X3) dan jenis wisata yang ditawarkan (X11) dilihat dari nilai significance yang berada di bawah 1% dan 5%. Setelah mengetahui faktor-faktor yang mempengaruhi wisatawan untuk datang ke Desa Bedono, diharapkan warga dapat memaksimalkan potensi sehingga dapat meningkatkan jumlah wisatawan.APPLICATION OF LOGISTIC REGRESSION IN DETERMINING FACTORS AFFECTING THE NUMBER OF ECOTOURISM ASSESSMENT IN BEDONO VILLAGE. Tourism activities are one of the vital sectors that can be relied upon by the people of a village to obtain additional income. Bedono Village is a coastal village located in Sayung Subdistrict, Demak Regency. As one of the coastal villages, Desa Bedono experiences pressure from activities on land and in the ocean. The most noticeable impact is damage to infrastructure due to tidal flooding. This certainly inhibits tourists who want to come to visit Bedono Village. This study aims to determine the factors that influence tourists to come to the village of Bedono. Data collection was carried out with a questionnaire containing closed questions with 100 respondents. Data processing used logistic regression with the help of SPSS software. The results of this study indicate that there are three factors influencing tourists to come to Bedono Village, namely: villagers' responses to tidal floods (X1), priority environmental problems (X3) and types of tours offered (X11) seen from the significance value at under 1% and 5%. After knowing the factors that influence tourists to come to Bedono Village, it is hoped that residents can maximize their potential so that they can increase the number of tourists.

scholarly journals Evaluation of probability of linkages between enterprises and farmer's potatoes in Lam Dong province

2019 ◽  
Vol 18 (01) ◽  
pp. 1-8
Author(s):  
Nam H. Tran
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Multinomial Logistic Regression ◽  
Potato Production ◽  
Farm Size ◽  
Multinomial Logistic Regression Model ◽  
Factors Affecting ◽  
And Gender

In this study, the collaboration between buyer and the famers in potato production was evaluated by using a multinomial Logistic regression model with MLE estimating. The data were collected by directly interviewing of 245 farmers at the Xuan Tho commune, Da Lat city and Don Duong district, Lam Dong province. Results of the research showed that a tight collaboration between the companies and farmers would increase in a higher productivity. The estimation showed that the probability of farmer which would and would not collaborate with buyer were 14.6% (Y2/Y1) and 63.0% (Y3/Y1). The factors affecting the probability of linkages between enterprises and farmers were enterprises and farmers were experience, farm, size, profit, policy supports and gender. The results also revealed that when price of potatoes increase, farmers would not comply with agreement.

scholarly journals Determination of Anthropometric Indicators of 2 to 6 Years Old Kindergarten and Preschool Children in Isfahan City in 2017

2019 ◽  
Author(s):  
Majid ZARRIN KAFSH ◽  
Gholam Hossein HALVANI ◽  
Hossein FALLAH ◽  
Mahsa ASGARI
Keyword(s):  
Age Groups ◽  
Cluster Sampling ◽  
Age Group ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Significant Difference ◽  
Two Factors ◽  
And Gender ◽  
Age Range ◽  
Age And Sex

Introduction: Creation of anthropometric database in any age group is one of the most important issues in designing and manufacturing of used equipment. The aim of this study was to determine the anthropometric characteristics of nurses of kindergartens and preschools in Isfahan in the age range of 2 to 6 years and to create an information reference.Materials and Methods: In this applied study, 700 healthy male and female boys were selected randomly from cluster sampling from nursery schoolchildren and preschools in Isfahan city. 36 anthropometric measurements of them were cross-sectional in the academic year 1396 to 1397. And indicators and statistical percentiles (5.50 and 95) were extracted.Results: Statistical indexes and percentiles were presented as an anthropometric database in 5 age groups and in two sex groups. Age and sex were influenced by most anthropometric variables and significant difference (P <0.05). .Conclusion: The age and sex are two factors affecting anthropometric variables. Therefore, it is necessary to use the anterpometric database of the same age group and gender in the design of the equipment.

scholarly journals Factors affecting Cloud Computing adoption in Higher Learning Institutions in South Africa: A case of Matjhabeng TVET Colleges

2020 ◽  
Author(s):  
Dina Moloja ◽  
Ephias Ruhode
Keyword(s):  
South Africa ◽  
Cloud Computing ◽  
Data Security ◽  
Higher Learning ◽  
Key Factors ◽  
Factors Affecting ◽  
On Demand ◽  
Cloud Computing Adoption ◽  
Learning Institutions ◽  
And Storage

Cloud Computing is one of the most important trends and newest area in the field of information technology in which resources (e.g. CPU and storage) can be leased and released by customers through the Internet in an on-demand basis. The adoption of Cloud Computing in Higher Learning Institution is a real opportunity. Although Cloud computing has gained popularity in the world especially in education and industry, but its impact in colleges is still unexplored. This exploratory qualitative research seeks to identify the factors affecting the adoption of Cloud Computing in South Africa, focusing on Matjhabeng TVET colleges. 35 IT stakeholders from two TVET colleges was interviewed. Thematic analysis was utilised to analase data. After data was analysed, the findings revealed that data security, lack of internet access and lack of infrastructure resources are key factors that affects Cloud computing adoption in Matjhabeng TVET colleges. This paper contributes to the literature on Cloud Computing adoption in Higher Learning Institutions in South Africa.

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