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All Journal Literatus ARSY : Jurnal Aplikasi Riset kepada Masyarakat Journal of Counseling and Educational Research
Sundari, Marta
Unknown Affiliation
Humanities Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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PKM Kelompok Pendidikan di Paud Islam Terpadu Al-Barkah Jakarta Timur Marta Sundari; Ayu Megawati; Lin Suciani Agusti; Retna Ningsih
ARSY : Jurnal Aplikasi Riset kepada Masyarakat Vol. 2 No. 1 (2021): ARSY : Jurnal Aplikasi Riset kepada Masyarakat
Publisher : Lembaga Riset dan Inovasi Al-Matani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55583/arsy.v2i1.166

Abstract

Hampir 7 bulan Pandemi COVID-19 yang melanda Indonesia tidak hanya berdampak pada sektor ekonomi yang terdampak tetapi juga sektor pendidikan. Di bidang pendidikan, pembelajaran tatap muka di sekolah bergeser menjadi pembelajaran online atau learning from home (LFH). Mau tidak mau, guru, siswa, dan orang tua harus dilibatkan dalam proses pembelajaran agar kegiatan belajar dari rumah (BDR) tetap berjalan efektif. Menjadi guru bagi sebagian orang di tengah pandemi tentu tidak mudah. Harapan yang tinggi membutuhkan kesabaran yang luas, sehingga tidak jarang mengeluhkan tidak efektifnya belajar dari rumah. Bagi guru, kegiatan BDR tentu sangat menyiksa, biasanya bertatap muka dengan siswa kini hanya bisa menyapa lewat online. Membaca nyaring merupakan kegiatan sederhana yang dilakukan tidak lebih dari 10 menit sehari tetapi jika dilakukan terus menerus dapat merangsang belajar membaca pada anak. Belajar membaca membutuhkan proses yang panjang dan kompleks, dari membaca anak memiliki perbendaharaan kata yang banyak sehingga mampu membaca meningkatkan kemampuan bahasanya. Jika kecerdasan bahasa anak sudah tercapai, tidak sulit bagi anak untuk belajar mengenal matematika. Masalahnya adalah banyak dari kita mendefinisikan matematika hanya dalam istilah kata-kata saya (kali, bagi, tambah, kurangi) ketika matematika ada di sekitar kita. Akibatnya, anak-anak dapat mengerjakan matematika tetapi tidak menyukai matematika. Melalui kegiatan membaca nyaring diharapkan anak mendapatkan dua rangsangan kecerdasan sekaligus yaitu kecerdasan bahasa dan kecerdasan matematis logis sehingga proses BDR terasa lebih menyenangkan. Kata kunci : Matematika logis, Membaca nyaring, Anak usia dini
Confidence vs. Anxiety: Unveiling the Link Between Self-Efficacy and Math Anxiety Octaviani, Anggun; Sundari, Marta
Journal of Counseling and Educational Research Vol. 1 No. 1 (2024): Journal of Counseling and Educational Research
Publisher : Asosiasi Asesmen Pendidikan (AAP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63203/jcerch.v1i1.3

Abstract

Background of the study: the aim of this research is to find out whether there is a relationship between self-efficacy and mathematics anxiety and aims to see a picture of students' self-efficacy and mathematics anxiety. The method used in this research uses a quantitative approach. The population and sample in this research were 189 Bina Dharma Jakarta Middle School students. Data were analysed using SPSS version 27 software with correlational techniques. The findings in this research are that there is a significant relationship between self-efficacy (X) and mathematics anxiety (Y), seen from the contribution made by self-efficacy of 17.6% to mathematics anxiety. The relationship between levels of self-efficacy and mathematics anxiety is in the moderate relationship category with a significance value of -0.419 (negative), so it can be stated that an increase in students' self-efficacy causes a decrease in mathematics anxiety.
Pemodelan Kasus Demam Berdarah Dengue di Jawa Barat Menggunakan Regresi Gaussian, Poisson, dan Compound Poisson Tweedie Sundari, Marta; Sativa, Oryza
LITERATUS Vol 6 No 2 (2024): Jurnal Ilmiah Internasional Sosial Budaya
Publisher : Neolectura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37010/lit.v6i2.2122

Abstract

Dengue Hemorrhagic Fever (DHF) is an infectious disease that remains a serious public health problem in Indonesia, particularly in West Java Province. This study aims to model the number of DHF cases using Gaussian, Poisson, and Compound Poisson Tweedie regression methods based on 2023 data sourced from the West Java Central Statistics Agency (BPS) and the West Java Provincial Health Office. Predictor variables used include humidity, rainfall, real per capita expenditure, poverty ratio, population density, percentage of households with clean and healthy lifestyles, ratio of health facilities, and average altitude of the area above sea level. The analysis results indicate that Gaussian and Poisson regression are less suitable for use because they are unable to handle overdispersion in the data. The Compound Poisson Tweedie model provides the best performance with the smallest Akaike Information Criterion (AIC) value. Three variables that significantly influence the number of DHF cases in West Java in 2023 are rainfall, real expenditure per capitaand the ratio of health facilities, so that the resulting model equation is  (2.233 plus 0.001387 times rainfall plus 0.000022 times real per capita expenditure minus 0.015250 times health facility ratio), indicating that rainfall and expenditure increase DHF cases, while more health facilities reduce them.
Pemodelan Kasus Demam Berdarah Dengue Di Jawa Barat Menggunakan Regresi Gaussian, Poisson, dan Negatif Binomial Sundari, Marta; Sativa, Oryza
LITERATUS Vol 7 No 1 (2025): International Socio-Cultural Scientific Journal
Publisher : Neolectura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37010/lit.v7i1.2125

Abstract

Dengue Hemorrhagic Fever (DHF) remains a major health problem in West Java Province, which has a tropical climate and dense population. This study aims to model DHF cases using Gaussian, Poisson, and Negative Binomial regression. The data used include the number of DHF cases in 2024 as the response variable and eight predictor variables, namely humidity, amount of rainfall, real expenditure per capita, poverty ratio, population density, percentage of households with clean and healthy lifestyles, ratio of health facilities, and average height of the area above sea level (ASL) according to rainfall stations. Data were obtained from the Central Statistics Agency (BPS) and the West Java Provincial Health Office. The analysis results showed that Poisson and Gaussian regression were less suitable because they were unable to handle overdispersion in the data. The Negative Binomial model provided the best results with the smallest AIC value. Two variables that significantly influenced the number of dengue cases were population density (variable 5) and the ratio of health facilities (variable 7)  
Co-Authors Ayu Megawati Lin Suciani Agusti Octaviani, Anggun Oryza Sativa Retna Ningsih