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All Journal Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat
Triyani Hendrawati
Universitas Padjadjaran
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mathematics

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Parents' Understanding of the Safety and Comfort in Using Gadgets for Children Anindya Apriliyanti Pravitasari; Mulya Nurmansyah Ardisasmita; Fajar Indrayatna; Intan Nurma Yulita; Triyani Hendrawati; Gumgum Darmawan
REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Vol 4, No 2 (2023): REKA ELKOMIKA
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/rekaelkomika.v4i2.151-160

Abstract

The utilization of technology among children has significantly increased since the outbreak of the Covid 19 pandemic. Therefore, the use of gadgets among children requires special attention from parents, since under incorrect ergonomic circumstances, it could endanger the health of children. This webinar was designed with parents in mind, giving them valuable information on how to use kid-friendly technology. Additionally, a pre- and post-test was assigned to evaluate parents’ knowledge about ergonomic conditions (safety and comfort) when using gadgets, both before and after the webinar. The results indicated a substantial increasement in parental knowledge among the webinar participants as well as the heightened desire and willingness to apply the right ergonomic conditions for their children’s gadget use at home.
POLA PENYEBARAN PENYAKIT MENULAR BERDASARKAN KABUPATEN/KOTA DI JAWA TIMUR MENGGUNAKAN ANALISIS KORESPONDENSI Triyani Hendrawati; Riska Tiana; Soffy Mulyani; Silma Minnatika
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 2 (2023): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v4i2.355

Abstract

Infectious diseases are a problem that is still a challenge and has not been resolved in Indonesia. The number of infectious disease cases continues to increase every year in Indonesia. Infectious diseases that are still a problem in Indonesia include tuberculosis (TB), pneumonia and leprosy (Leprosy). Identification of infectious disease endemic areas is an important issue in the health sector, the average rate of people with physical disabilities and deaths originating from infectious diseases. Indonesia, as a country consisting of 34 provinces, including East Java as one of the provinces that has a high rate of infectious disease cases. Therefore, research was conducted using correspondence analysis which aimed to determine the pattern of infectious disease trends and grouping districts / cities in East Java Province based on similarities between the spread of disease sufferers in each district / city. This type of research uses quantitative methods with secondary data obtained from the Central Bureau of Statistics of East Java Province. The results of correspondence analysis show that  the spread of pneumonia and tuberculosis in East Java  Province has a relative tendency to almost all regencies/cities in East Java, while the spread of leprosy is closer to Sampang Regency. From this research, it can be used to supervise and control infectious diseases in districts / cities in East Java Province, so that the government can adjust policy formulation and actions to prevent an increase in infectious disease cases in East Java
ANALISIS INDEKS PEMBANGUNAN MANUSIA PROVINSI JAWA TENGAH MENGGUNAKAN ANALISIS REGRESI Fawwaz Ziddan Azis; Triyani Hendrawati; Azmi Muhammad Nafis; Dimas Fattah
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 2 (2023): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v4i2.374

Abstract

The Human Development Index is one approach to measuring the success rate of human development. Central Java Province is one of the provinces that experienced an increase in the human development index in 2022. Therefore, this study was conducted to determine the regression model used and the factors that affect the human development index in Central Java Province in 2022. Some of the factors used in this study are life expectancy, average years of schooling, expected years of schooling and adjusted per capita expenditure. The method used in this research is multiple linear analysis, parameter significance test, and classical assumption test. By using the human development index as the response variable (Y), life expectancy (X1), average years of schooling (X2), expected years of schooling (X3) and adjusted per capita expenditure (X4) as predictor variables. From the results of the analysis that has been done, the equation Y = 6.55 + 0.4626X₁ + 1.341X₂ + 0.8971X₃ + 0.0008329X₄ +e is obtained. This shows that there is a relationship between the human development index and life expectancy, average years of schooling, expected years of schooling and adjusted per capita expenditure. The classical assumption test, namely the normality test, multicollinearity test, autocorrelation test and heteroscedasticity test, shows that the regression model can be used
FAKTOR-FAKTOR YANG MEMENGARUHI INDEKS ARTIFICIAL INTELLIGENCE GLOBAL Yanuar Ichwan Satria Nugroho; Triyani Hendrawati; Kennedy Marthendra; Brian Riski Jayama Simanjuntak
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 3 (2023): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v4i3.406

Abstract

The Global AI (Artificial Intelligence) Index is a value that aims to measure the progress of artificial intelligence (AI) around the world. Currently, technology is increasingly sophisticated and of course makes humans compete to create technology to make life easier. The purpose of this study is to analyse the effect of human resources, infrastructure, and government policies on the global AI index. The method used to determine the relationship between human resources, infrastructure, and government policies with the global AI index is the multiple linear regression method. From the results of data processing, a linear regression  = - 7,54675 + 0,65972  + 0,25096  + 0,07672 . Based on this model, the influence of human resources, infrastructure, and government policies has a significant positive effect on the Global AI Index. The coefficient of determination of the model is 0.8833, in other words, human resources (), infrastructure (), and government policy () are able to explain the value of the global AI index (Y) by 88.33% and the remaining 11.67% is explained by other variables
Co-Authors Anindya Apriliyanti Pravitasari Azmi Muhammad Nafis Brian Riski Jayama Simanjuntak Dimas Fattah Fajar Indrayatna Fawwaz Ziddan Azis Gumgum Darmawan Intan Nurma Yulita, Intan Nurma Kennedy Marthendra Mulya Nurmansyah Ardisasmita Riska Tiana Silma Minnatika Soffy Mulyani Yanuar Ichwan Satria Nugroho