Mapping of Education Quality and E-Learning Readiness to Enhance Economic Growth in Indonesia

Setia PRAMANA,Erni Tri ASTUTI 한국유통과학회 2022 Asian Journal of Business Environment (AJBE) Vol.12 No.1

Purpose: This study is aimed to map the provinces in Indonesia based on the education and ICT indicators using several unsupervised learning algorithms. Research design, data, and methodology: The education and ICT indicators such as studentteacher ratio, illiteracy rate, net enrolment ratio, internet access, computer ownership, are used. Several approaches to get deeper understanding on provincial strength and weakness based on these indicators are implemented. The approaches are Ensemble KMean and Fuzzy C Means clustering. Results: There are at least three clusters observed in Indonesia the education quality, participation, facilities and ICT Access. Cluster with high education quality and ICT access are consist of DKI Jakarta, Yogyakarta, Riau Islands, East Kalimantan and Bali. These provinces show rapid economic growth. Meanwhile the other cluster consisting of six provinces (NTT, West Kalimantan, Central Sulawesi, West Sulawesi, North Maluku, and Papua) are the cluster with lower education quality and ICT development which impact their economic growth. Conclusions: The provinces in Indonesia are clustered into three group based on the education attainment and ICT indicators. Some provinces can directly implement elearning; however, more provinces need to improve the education quality and facilities as well as the ICT infrastructure before implementing the e-learning

Air Pollution Changes of Jakarta, Banten, and West Java, Indonesia During the First Month of COVID-19 Pandemic

Setia PRAMANA,Dede Yoga PARAMARTHA,Yustiar ADHINUGROHO,Mieke NURMALASARI 한국유통과학회 2020 Asian Journal of Business Environment (AJBE) Vol.10 No.4

Purpose: This research aims to explore the level of air pollution in Jakarta, the epicenter of COVID-19 Pandemic in Indonesia and its surrounding provinces during the first month of the Pandemic. Research design, data and methodology: This study uses data, which have been obtained real time from API (Application Programming Interfaces) of air quality website. The measurements of Air Quality Index (AQI), temperature, humidity, and other factors from several cities and regencies in Indonesia were obtained eight times a day. The data collected have been analyzed using descriptive statistics and mapped using QGIS. Results: The finding of this study indicates that The Greater Jakarta Area experienced a decrease in pollutant levels, especially in the Bogor area. Nevertheless, some areas, such as the north Jakarta, have exhibited slow reduction. Furthermore, the regions with high COVID-19 confirmed cases have experienced a decline in AQI. Conclusions: The study concludes that the air quality of three provinces, Jakarta, Banten, and West Java, especially in cities located in the Jakarta Metropolitan Area during COVID-19 pandemic and large-scale social restrictions, is getting better. However, in some regions, the reduction of pollutant concentrations requires a longer time, as it was very high before the pandemic.

Calibration of Rothc is Required for Accurate Prediction of CO2 Emission from Sodic Soils

Raj Setia,Petra Marschner 한국토양비료학회 2014 한국토양비료학회 학술발표회 초록집 Vol.2014 No.6

Mapping of Education Quality and E-Learning Readiness to Enhance Economic Growth in Indonesia

PRAMANA, Setia,ASTUTI, Erni Tri Korea Distribution Science Association 2022 Asian journal of business environment Vol.12 No.1

Purpose: This study is aimed to map the provinces in Indonesia based on the education and ICT indicators using several unsupervised learning algorithms. Research design, data, and methodology: The education and ICT indicators such as student-teacher ratio, illiteracy rate, net enrolment ratio, internet access, computer ownership, are used. Several approaches to get deeper understanding on provincial strength and weakness based on these indicators are implemented. The approaches are Ensemble K-Mean and Fuzzy C Means clustering. Results: There are at least three clusters observed in Indonesia the education quality, participation, facilities and ICT Access. Cluster with high education quality and ICT access are consist of DKI Jakarta, Yogyakarta, Riau Islands, East Kalimantan and Bali. These provinces show rapid economic growth. Meanwhile the other cluster consisting of six provinces (NTT, West Kalimantan, Central Sulawesi, West Sulawesi, North Maluku, and Papua) are the cluster with lower education quality and ICT development which impact their economic growth. Conclusions: The provinces in Indonesia are clustered into three group based on the education attainment and ICT indicators. Some provinces can directly implement e-learning; however, more provinces need to improve the education quality and facilities as well as the ICT infrastructure before implementing the e-learning.

Study of Workpiece Vibration in Powder-Suspended Dielectric Fluid in Micro-EDM Processes

Gunawan Setia Prihandana,Muslim Mahardika,Mohd Hamdi,Yoke San Wong,Norihisa Miki,Kimiyuki Mitsui 한국정밀공학회 2013 International Journal of Precision Engineering and Vol. No.

Abstract. In micro-EDM (electrical discharge machining), improper removal of debris causes short-circuiting between a tool electrode and a workpiece and in turn, prevents continuous machining process. Therefore, a remarkably longer period of time is required to fabricate a through hole than that would be required when no short-circuiting took place. In order to solve this problem, the dielectric fluid is immersed with graphite nano powders to reduce machining time and improve surface quality due to the less frequent of arcing between the tool electrode and the workpiece. However, excess powders become debris and subsequently deteriorate the efficiency of machining. To fully exploit the effects of the suspended powders, we introduced vibration of the workpiece in order to remove the debris in the small gap between the workpiece and electrode efficiently. The experimental results showed that combination of these techniques improved machining stability, assured continuous machining processes, and significant reduction of the machining time. Reduction of the machining time and the surface roughness of the workpiece after machining were investigated with respect to the powder concentrations when the workpiece was vibrated at 1000 Hz.

Effect of low-frequency vibration on workpiece in EDM processes

Gunawan Setia Prihandana,Muslim Mahardika,M. Hamdi,Kimiyuki Mitsui 대한기계학회 2011 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.25 No.5

High-frequency vibration aided EDM has become one of the ways to increase material removal rate in EDM process, due to the flushing effect caused by vibration. However, utilizing high-frequency vibration, especially in ultrasonic range consumes a lot of setup cost. This work presents an attempt to use a low-frequency vibration on workpiece of stainless steel (SS 304) during EDM process. The workpiece was vibrated with variations of low-frequency and low-amplitude. The results show that the application of low-frequency vibration in EDM process can be used to increase the material removal rate, and decrease the surface roughness and tool wear rate.

Open Communication About Reproductive Health Is Associated With Comprehensive HIV Knowledge and a Non-stigmatising Attitude Among Indonesian Youth: A Cross-sectional Study

Gede Benny Setia Wirawan,Ni Luh Zallila Gustina,Pande Putu Januraga 대한예방의학회 2022 예방의학회지 Vol.55 No.4

Objectives: Human immunodeficiency virus (HIV) prevention among youth seems under-prioritised compared to other key populations. HIV knowledge and stigma are important parts of HIV prevention. To inform HIV prevention among youths, this study quantitatively analysed the associations between open communication regarding sexuality and sexual health, comprehensive HIV knowledge, and non-stigmatising attitudes in Indonesia. Methods: This study used data from the Indonesian Demographic and Health Survey (IDHS) 2017. The analysis included unmarried men and women aged 15-25 years old. Comprehensive HIV knowledge and a stigmatising attitude were defined according to the IDHS 2017. Open communication about sexuality and sexual health was defined as the number of people with whom participants could openly discuss these topics in their direct network of friends, family, and service providers, with a scale ranging from 0 to a maximum of 7. Primary analysis used binomial logistic regression with weighting adjustments. Results: The final analysis included 22 864 respondents. Twenty-two percent of youth had no one in their direct network with whom to openly discuss sexual matters, only 14.1% had comprehensive HIV knowledge, and 85.9% showed stigmatising attitudes. Youth mostly discussed sex with their friends (55.2%), and were less likely to discuss it with family members, showing a predominant pattern of peer-to-peer communication. Multivariate analysis showed that having a larger network for communication about sexuality and sexual health was associated with more HIV knowledge and less stigmatising attitudes. Conclusions: Having more opportunities for open sex communication in one’s direct social network is associated with more HIV knowledge and less stigmatising attitudes.

The Role of Technology, Organizational Culture, and Job Satisfaction in Improving Employee Performance during the Covid-19 Pandemic

I Ketut Setia SAPTA,Muafi MUAFI,Ni Made SETINI 한국유통과학회 2021 The Journal of Asian Finance, Economics and Busine Vol.8 No.1

In the current Covid-19 pandemic, technology’s role is important; with technology, all activities can carry on. This study explains that technology, organizational culture, and job satisfaction at rural banks in Bali can be a motivation for improving performance, especially during a pandemic. A questionnaire is distributed online using Google Form to a total of 350 employees; the data is collected from a sample of employees from rural banks in Denpasar, Bali. Respondents had to meet the following criteria: a minimum work period of one year and a minimum high school education or equivalent. With these criteria, 100 samples were obtained. The dependent variable is employee performance; the independent variables are organizational culture, technology, and job satisfaction; the intervening variable is work motivation. This study uses Structural Equation Modeling with a variance-based or component-based approach with Partial Least Square. The study results show that organizational culture, job satisfaction, and technology provide motivation and have a significant positive effect on employee performance. However, organizational culture does not have a positive or direct impact on employee performance. The study results can be used as a basis for designing business strategies to improve employee performance in a competitive environment to advance the credibility of a bank.

Women's Empowerment Facilitates Complete Immunization in Indonesian Children: A Cross-sectional Study

Wirawan, Gede Benny Setia,Gustina, Ni Luh Zallila,Pramana, Putu Harrista Indra,Astiti, Made Yuliantari Dwi,Jonathan, Jovvita,Melinda, Fitriana,Wijaya, Teo The Korean Society for Preventive Medicine 2022 예방의학회지 Vol.55 No.2

Objectives: The primary objective of this study was to examine the effect of women's empowerment on the immunization of Indonesian children. The secondary objective was to examine the effect of wealth as a factor modifying this association. Methods: We utilized data from the 2017 Indonesian Demographic and Health Survey (IDHS). The subjects were married women with children aged 12-23 months (n=3532). Complete immunization was defined using the 2017 IDHS definition. Multiple components of women's empowerment were measured: enabling resources, decision-making involvement, and attitude toward intimate partner violence. The primary analysis was conducted using binomial logistic regression. Model 1 represented only the indicators of women's empowerment and model 2 controlled for socio-demographic variables. Subgroup analyses were conducted for each wealth group. Results: The primary analysis using model 1 identified several empowerment indicators that facilitated complete immunization. The analysis using model 2 found that maternal education and involvement in decision-making processes facilitated complete immunization in children. Subgroup analyses identified that wealth had a modifying effect. The indicators of women's empowerment were strong determinants of complete immunization in lower wealth quintiles but insignificant in middle-income and higher-income quintiles. Conclusions: To our knowledge, this study is the first to explore women's empowerment as a determinant of child immunization in Indonesia. The results indicate that women's empowerment must be considered in Indonesia's child immunization program. Women's empowerment was not found to be a determinant in higher wealth quintiles, which led us to rethink the conceptual framework of the effect of women's empowerment on health outcomes.

Mapping Poverty Distribution of Urban Area using VIIRS Nighttime Light Satellite Imageries in D.I Yogyakarta, Indonesia

KHAIRUNNISAH(KHAIRUNNISAH ),Arie Wahyu WIJAYANTO(Arie Wahyu WIJAYANTO ),Setia PRAMANA(Setia PRAMANA ) 한국유통과학회 2023 Asian Journal of Business Environment (AJBE) Vol.13 No.2

Purpose: This study aims to map the spatial distribution of poverty using nighttime light satellite images as a proxy indicator of economic activities and infrastructure distribution in D.I Yogyakarta, Indonesia. Research design, data, and methodology: This study uses official poverty statistics (National Socio-economic Survey (SUSENAS) and Poverty Database 2015) to compare satellite imagery's ability to identify poor urban areas in D.I Yogyakarta. National Socioeconomic Survey (SUSENAS), as poverty statistics at the macro level, uses expenditure to determine the poor in a region. Poverty Database 2015 (BDT 2015), as poverty statistics at the micro-level, uses asset ownership to determine the poor population in an area. Pearson correlation is used to identify the correlation among variables and construct a Support Vector Regression (SVR) model to estimate the poverty level at a granular level of 1 km x 1 km. Results: It is found that macro poverty level and moderate annual nighttime light intensity have a Pearson correlation of 74 percent. It is more significant than micro poverty, with the Pearson correlation being 49 percent in 2015. The SVR prediction model can achieve the root mean squared error (RMSE) of up to 8.48 percent on SUSENAS 2020 poverty data.Conclusion: Nighttime light satellite imagery data has potential benefits as alternative data to support regional poverty mapping, especially in urban areas. Using satellite imagery data is better at predicting regional poverty based on expenditure than asset ownership at the micro-level. Light intensity at night can better describe the use of electricity consumption for economic activities at night, which is captured in spending on electricity financing compared to asset ownership.