Garuda - Garba Rujukan Digital

Pengaruh Pengetahuan, Tingkat Pendapatan, dan Tingkat Pendidikan Terhadap Minat Masyarakat Berwakaf Uang Diana Yulianti
Al-Awqaf: Jurnal Wakaf dan Ekonomi Islam Vol 13 No 2 (2020): Al-Awqaf: Jurnal Wakaf dan Ekonomi Islam
Publisher : Badan Wakaf Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47411/al-awqaf.v13i2.131

This study aims to analysis the effect of knowledge, income level, and education level on the interest of the money-wavering community (North Jakarta city community) and its overview from an Islamic point of view. The population in this study is the Community of the City of North Jakarta. The sampling technique used is probability sampling. The number of respondents in this study were 120 respondents. Data were collected using a questionnaire method. The data analysis method used is the SEM analysis method which is supported by the Smart PLS application. The results showed that: (1) the variable Knowledge has a positive and significant effect on the Interest of Money Waqf Community. (2) Income Level has a positive and significant effect on the Interest of the Money Waqf Community. (3) The the level of education has a negative and insignificant effect on the interest of the money-donated community. The adj value of R2 is 0,66 or 66%. It can be said that the independent variable can explain the variation in the interest of the money-donated community by 66% or in other words knowledge, income level, and money. the level of education can affect the interest of people with donated money by 66%.

Hubungan Faktor Predispossing Enabling and Reinforcing dengan Praktik Safety Riding pada Kurir Ekspedisi Kota Semarang Diana Yulianti; Bina Kurniawan; Ekawati
KESMAS UWIGAMA: Jurnal Kesehatan Masyarakat Vol 6 No 2 (2020): December
Publisher : Universitas Widya Gama Mahakam Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24903/kujkm.v6i2.952

Background: Courier mailers and freight forwarding companies risk having a traffic accident while traveling to the customer's location. With the increasing demand for customers will be directly proportional to the increased risk of traffic accidents. Therefore couriers need to apply safety riding behavior. Based on Lawrence Green's theory, behavior is influenced by three factors, namely predispossing, enabling and reinforcing factors. Objectives: Analyzing the relationship between predisposing, reinforcing and enabling factors with the safety riding practice of the courier company in the city of Semarang Research Metodes: This research uses quantitative methods with cross sectional approach. The population in this study was 121 motorcycle couriers with a sample of 36 couriers using incidental sampling techniques. Statistical analysis using the chi square test. Results: The results showed that respondents with safe riding practices were 52.8%, respondents with long working periods were 83.3%, respondents with high school / vocational education levels were 72.2%, respondents with good knowledge were 55.6%, respondents with a positive attitude of 55.6%, respondents who have received safety riding training by 52.8%, respondents with vehicle conditions according to the standard of 50%, respondents who are influenced by superiors by 58.3% and who are influenced by colleagues employment by 61.1%. Conclusion: It can be concluded that 47.2% of respondents have not applied safety riding and 52.8% of respondents have applied safety riding. Based on the Chi Square test results, there are several variables related to safety riding practices, namely knowledge (p-value: 0.021), attitude (p-value: 0.003), training (p-value: 0.047), the role of superiors (p-value: 0.048), the role of co-workers (p-value: 0.020) and the condition of the vehicle (p-value: 0.019).

Utilizing The iNaturalist Application for Biology Research and Learning Ipin; Aden Arif Gaffar; Rika Firda Rizkia; Diana Yulianti
Mangifera Edu Vol 7 No 2 (2023): Jurnal Mangifera Edu
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/mangiferaedu.v7i2.162

This literature study aims to describe the utilization of the iNaturalist application (https://www.inaturalist.org/) in biology research and learning activities. iNaturalist is an Online Citizen Science (OCS) application available on the web and Android (Apps) platforms. This application has various features for collecting, identifying, and mapping varied biodiversity worldwide. It is suitable for biodiversity research and can also be used in learning biology on relevant concepts such as biodiversity, ecology, environment, plantae, animalia, and others. This article will discuss the advantages of the iNaturalist application, how to use it, and the utilization of the application in learning biology. The working principle of the iNaturalist application is to utilize artificial intelligence technology in the form of image processing so that it can identify various uploaded biodiversity data. This application offers community learning, the process of identifying research data involving the iNaturalist community worldwide. The way the iNaturalist application works is that users record data, share data with fellow naturalists and discuss research results. iNaturalist in research can be used for collecting, identifying, and publishing ecological, environmental, and biodiversity research data. The use of iNaturalist application in learning can be used in biology learning to train science process skills, especially observation skills, biodiversity learning, taxonomy learning, and research skills. In addition, this application supports Citizen Science activities that are suitable for use in education biology because it can create contextual and collaborative learning.

Utilizing The iNaturalist Application for Biology Research and Learning Ipin; Aden Arif Gaffar; Rika Firda Rizkia; Diana Yulianti
Jurnal Mangifera Edu Vol 7 No 2 (2023): Jurnal Mangifera Edu
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/mangiferaedu.v7i2.162

This literature study aims to describe the utilization of the iNaturalist application (https://www.inaturalist.org/) in biology research and learning activities. iNaturalist is an Online Citizen Science (OCS) application available on the web and Android (Apps) platforms. This application has various features for collecting, identifying, and mapping varied biodiversity worldwide. It is suitable for biodiversity research and can also be used in learning biology on relevant concepts such as biodiversity, ecology, environment, plantae, animalia, and others. This article will discuss the advantages of the iNaturalist application, how to use it, and the utilization of the application in learning biology. The working principle of the iNaturalist application is to utilize artificial intelligence technology in the form of image processing so that it can identify various uploaded biodiversity data. This application offers community learning, the process of identifying research data involving the iNaturalist community worldwide. The way the iNaturalist application works is that users record data, share data with fellow naturalists and discuss research results. iNaturalist in research can be used for collecting, identifying, and publishing ecological, environmental, and biodiversity research data. The use of iNaturalist application in learning can be used in biology learning to train science process skills, especially observation skills, biodiversity learning, taxonomy learning, and research skills. In addition, this application supports Citizen Science activities that are suitable for use in education biology because it can create contextual and collaborative learning.

Title

Found 4 Documents
Search

Abstract

Abstract

Abstract

Abstract

Title Search

Found 4 Documents Search

Abstract

Abstract

Abstract

Abstract

Title

Found 4 Documents
Search