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Pengaruh Moving Classsentra terhadap Kemandirian Anak Usia 4-5 Tahun Roudlotun Ni’mah; Ahmad Farid Utsman; Eva Khoirun nisa
Al Ulya: Jurnal Pendidikan Islam Vol. 4 No. 1 (2019): April
Publisher : Fakultas Tarbiyah - Universitas Nahdlatul Ulama Sunan Giri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36840/ulya.v4i1.211

Abstract

Kemandirian anak merupakan kemampuan anak untuk melakukan kegiatan dan tugas sehari-hari sendiri atau dengan sedikit bimbingan, sesuai dengan tahap perkembangan dan kemampuan anak.Pembelajaran di sekolah juga dapat mempengaruhi kemandirian seorang anak, bagaimana anak belajar mandiri, percaya diri, didapat dari sekolah.Penelitian ini diangkat atas dasar pemikiran yang menyatakan bahwa adanya pengaruh Moving Class, maka dapat meningkatkan kemandirian anak dalam menjalani kehidupan sehari-hari.Pada sisi inilah penulis mengkaji keberadaan pengaruh moving class di RA Islamiyah Ngasem terhadap kemandirian anak.Tujuan penelitian ini adalah untuk mengetahui tingkat dari masing-masing variabel serta untuk mengetahui pengaruh moving class terhadap kemandirian anak usia dini di RA Islamiyah Ngasem Kecamatan Ngasem. Metodologi penelitian ini menggunakan kuantitatif dengan pendekatan deskritif. Analisa terhadap pengaruh moving class terhadap kemandirian anak usia 4-5 tahun RA Islamiyah Ngasem, penulis mencoba memaparkan semua data yang diperoleh dari berbagai literatur, wawancara langsung, kemudian data-data yang terkumpul dianalisa berpedoman pada sumber-sumber yang tertulis. Berdasarkan hasil penelitian, diperoleh bahwa pengaruh moving class terhadap kemandirian anak mempunyai peranan yang sangat besar, karena moving class mampu membuat anak-anak lebih mandiri. Hasil yang dicapai dari pelaksanaan moving class ini bahwa dengan adanya moving class ini disambut positif oleh masyarakat, khususnya ibu-ibu guru dan anak didik, dan hasilnya bisa dilihat dari perilaku mereka sehari-hari yang mengalami evolusi.
The Comparison of Inverse Gaussian and Gamma Regression: Application on Stunting Data in Jepara Eva Khoirun Nisa; Riska Maulina
Jurnal Matematika, Statistika dan Komputasi Vol. 21 No. 1 (2024): SEPTEMBER 2024
Publisher : Department of Mathematics, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/j.v21i1.36351

Abstract

Many research data have distributions other than the normal distribution, called exponential family distributions. The exponential family of distributions includes the inverse Gaussian and Gamma distributions. There are parallels between these two distributions in terms of the kind of random variable and how well they work. Finding the optimal model using inverse Gaussian and Gamma regression on stunting data in Jepara is the goal of this study. Maximum Likelihood Estimation is used for parameter estimation, Maximum Likelihood Ratio Test is used for simultaneous parameter testing, and Wald testing is used for partial parameter testing. For this case, the best model is inverse Gaussian regression. Exclusive breastfeeding, low birth weight babies, clean drinking water facilities, and the number of Integrated Service Post (Posyandu) influence the percentage of stunting in Jepara..
Pengaruh Disposisi Matematis dan Kecerdasan Linguistik terhadap Kemampuan Komunikasi Matematis Eka Uryaningsih; Eva Khoirun Nisa
Hexagon: Jurnal Ilmu dan Pendidikan Matematika Vol. 2 No. 2 (2024): October
Publisher : LPPM Universitas Terbuka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33830/hexagon.v2i2.6437.

Abstract

Beberapa penelitian sebelumnya menyatakan bahwa disposisi matematis berkontribusi dalam meningkatkan kemampuan komunikasi matematis. Begitu pula kecerdasan linguistik membantu peserta didik dalam menyelesaikan soal matematika. Oleh karena itu, tujuan penelitian ini mengkaji ada tidaknya pengaruh disposisi matematis dan kecerdasan linguistik terhadap kemampuan komunikasi matematis. Instrumen berupa tes untuk mengukur kemampuan komunikasi matematis dan angket untuk mengukur disposisi matematis serta kecerdasan linguistik. Instrumen tes diuji melalui uji validitas, reliabilitas, tingkat kesukaran dan daya beda sedangkan instrumen angket melalui uji validitas dan reliabilitas. Penelitian ini merupakan penelitian kuantitatif metode survei korelasi kausal dengan sampel sebanyak 50 peserta didik kelas VII SMPN 2 Guntur Kabupaten Demak dengan teknik cluster random sampling. Materi yang digunakan adalah Persamaan Linear Satu Variabel dengan metode analisisnya yaitu regresi linier berganda. Dari analisis yang dilakukan, diperoleh hasil bahwa secara serentak disposisi matematis dan kecerdasan linguistik berpengaruh terhadap kemampuan komunikasi matematis. Kedua variabel prediktor tersebut mempengaruhi kemampuan komunikasi matematis sebesar 45,9%. Dengan demikian, guru dapat menyampaikan kepada peserta didik pentingnya mengimplementasikan indikator disposisi matematis dan kecerdasan linguistik seperti memotivasi peserta didik untuk berani dan percaya diri bertanya ketika pembelajaran sehingga kemampuan komunikasi matematis peserta didik akan semakin baik.
Forecasting the Number of Visitors to the UIN Walisongo Semarang Library with the Decomposition Method Nisa, Eva Khoirun; Jannah, Nawwarotul; Iqbal, Muhammad Amjed
At-Taqaddum Vol. 14 No. 1 (2022)
Publisher : Quality Assurance Institute (LPM) State Islamic University Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/at.v14i1.7858

Abstract

The library is an important part of a university. Especially for UIN Walisongo Semarang which states to be a research Islamic university based on the vision that has been announced. The library is a vital unit contributing to the realization of the vision of the institution because it is a storage place for various research results both from inside and outside UIN Walisongo Semarang. In addition, several problems occur in the library, so it is necessary to forecast the number of visitors to ascertain the number of librarians who serve it. Decomposition becomes a statistical method in predicting the number of visitors because this method breaks the components of a periodic series separately which can improve the accuracy of forecasting. This prediction has resulted in an increase in the number of visitors to the library of UIN Walisongo Semarang in 2020 compared to the previous year. Based on the results of forecasting the number of visitors, the number of librarians that must be provided is 42 librarians.
The Comparison Results of Logit and Probit Regression on Factors of Woman Criminal Nisa, Eva Khoirun; Muanalifah, Any
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 5, No 2 (2021): October
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v5i2.4150

Abstract

Logit and probit regression are statistical methods that have the same is to determine predictor variables affect the categorical response variable. From relevant studies, they have advantages and disadvantages on certain cases. Therefore, the logit and probit regression will be applied on factors of woman criminal considering women crime rate in Central Java is still relatively high. This study aims to compare the result of the two regression so that the best regression model is obtained to explain factors that influence woman criminal. The data type used is primary data obtained using a questionnaire and validated by non-empirical validation. The sample was taken using a quota sampling technique. The result showed that probit regression is the best model with the factors that influence woman criminal are the age of 17-25 years, 26-35 years, junior high school education level, married and ever married marital status.
Handling Multicollinearity using Least Absolute Shrinkage and Selection Operator Regression on Per Capita Expenditure Data Rahma, Della Setya; Nisa, Eva Khoirun
Square : Journal of Mathematics and Mathematics Education Vol. 7 No. 1 (2025)
Publisher : UIN Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Multicollinearity is a problem that must be addressed when using regression. Multicollinearity often occurs in socioeconomic data, such as Per Capita Expenditure. Several relevant studies have shown that Least Absolute Shrinkage and Selection Operator (LASSO) regression is a good method for handling multicollinearity. Additionally, it produces the simple model. Meanwhile, the Least Angle Regression (LAR) algorithm works effectively in model optimization, especially when multicollinearity occurs in multiple variables. Therefore, this study aims to handle multicollinearity with LAR LASSO regression in the specific case of per capita expenditure data in Wonosobo with many variables experiencing multicollinearity. The result study is LAR LASSO regression successfully eliminated two of the four predictor variables that exhibited multicollinearity by reducing the regression coefficients on the two predictor variables to zero. The best regression model obtained produces two significant coefficients so that Per Capita Expenditure in Wonosobo was influenced by the Human Development Index and Average Years of Schooling.