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All Journal Madani: Multidisciplinary Scientific Journal Tashdiq: Jurnal Kajian Agama dan Dakwah Parameter: Jurnal Matematika, Statistika dan Terapannya
Triono, Wira
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ANALISIS FAKTOR-FAKTOR PENYEBAB PERCERAIAN DI PROVINSI SUMATERA UTARA DAN KABUPATEN DELI SERDANG Nurmayani; Pulungan, Zakiy Maulana; Aqil, Muhammad Fachri; Harahap, Adi Gunawan; Tamara, Angga; Lubis, Hafiz Khalik; Lubis, M. Shadri Ismaun; Triono, Wira
Tashdiq: Jurnal Kajian Agama dan Dakwah Vol. 12 No. 4 (2025): Tashdiq: Jurnal Kajian Agama dan Dakwah
Publisher : Cahaya Ilmu Bangsa Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.4236/tashdiq.v12i4.12292

Abstract

Penelitian ini bertujuan untuk menganalisis faktor-faktor penyebab perceraian di Provinsi Sumatera Utara dan Kabupaten Deli Serdang selama periode 2018-2023. Data sekunder diperoleh dari Kantor Urusan Agama (KUA) Kecamatan Percut Sei Tuan dan Badan Pusat Statistik (BPS) Provinsi Sumatera Utara. Metode penelitian yang digunakan adalah kualitatif deskriptif dengan analisis statistik untuk mengidentifikasi tren dan distribusi perceraian berdasarkan faktor penyebabnya. Hasil penelitian menunjukkan bahwa perselisihan dan pertengkaran terus-menerus menjadi faktor dominan penyebab perceraian, berkontribusi lebih dari 70% terhadap total kasus di kedua wilayah. Faktor ekonomi juga memainkan peran signifikan, terutama dalam memperburuk hubungan rumah tangga. Di Provinsi Sumatera Utara, angka perceraian tertinggi terjadi pada tahun 2020 dan 2021 dengan 17.270 kasus, sedangkan di Kabupaten Deli Serdang, puncak perceraian terjadi pada tahun 2021 dengan 2.973 kasus. Analisis ini mengindikasikan bahwa ketahanan keluarga di kedua wilayah masih rentan terhadap konflik domestik dan tekanan ekonomi.
Analisis Faktor yang Mempengaruhi Angka Melek Huruf di Indonesia Dengan Regresi Robust Pratiwi, Indy; Triono, Wira; Panjaitan, Rizky Rafiza; Rambe, Risa Rozzaqi; Dalimunthe, Syairal Fahmy
Madani: Jurnal Ilmiah Multidisiplin Vol 3, No 2 (2025): March
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.15073386

Abstract

This study aims to analyze the factors that affect literacy rates in Indonesia using a robust regression approach. The data used included data from 34 provinces, focusing on the dependent variables, namely the literacy rate and the independent variables, namely the average length of schooling, the number of teachers, out-of-school children, PDRB per capita, and the number of poor people. The results of the analysis show the equation Y ?=97.7766-0.41220PCA1-0.2886PCA2-0.000002x_4. where PCA1 = a combination of X1 and X2 and PCA2 = a combination of X2 and X5. Every 1 unit increase in PCA1 will reduce the literacy rate by about 0.4120 or 41.2%, an increase of 1 unit of PCA2 will reduce the literacy rate by about 0.2886 or 28.86%, while in x_4 it only affects about 0.00022%. The number of children who do not attend school, children who drop out of school and the number of poor people can significantly increase the illiteracy rate. Efforts that can be made by the government are to facilitate education so that all groups can access education and educate the public that education is very important and will be the foundation of the nation and state in the future..
Analisis Autokorelasi Spasial: Studi Kasus Pembangunan Sekolah dan Kepadatan Penduduk di Wilayah Sumatera Utara Hondro, Yizhar Saputra; Triono, Wira; Panjaitan, Rizky Rafiza
Madani: Jurnal Ilmiah Multidisiplin Vol 3, No 3 (2025): April 2025
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.15152625

Abstract

This study uses a quantitative approach that examines the development of schools, especially elementary schools, towards population density in the North Sumatra region using the Moran's I and LISA methods. Defining spatial autocorrelation as the relationship between the closest spatial units as seen on the map, and based on the results of the analysis, 4 regions were obtained for the number of residents that significantly influenced autocorrelation, including Deli Serdang (p-value = 0.0004), Karo (p-value = 0.0086), Medan (p-value = 0.00001), and Binjai (p-value = 0.0028). In addition, for the number of elementary schools, 7 regions were obtained that significantly influenced autocorrelation, namely Batu Bara (0.0371), Deli Serdang (p-value = 0.0003), Karo (p-value = 0.0006), Binjai (p-value = 0.0015), Medan (p-value = 0.0009), Pematangsiantar (p-value = 0.0279), and Sedang Berdagai (p-value = 0.0310). These regions have p-values less than 0.05 so it can be concluded that these regions significantly influence spatial autocorrelation.
Analisis Pengaruh PDRB, Umur Harapan Hidup, Rata-rata Lama Sekolah, dan Pengeluaran Perkapita terhadap Indeks Pembangunan Manusia di Provinsi Lampung Triono, Wira; Simorangkir, Agnes Monica; Putri, Maharani Renika
Madani: Jurnal Ilmiah Multidisiplin Vol 3, No 5 (2025): Volume 3, Nomor 5, June 2025
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

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

Abstract

Human development is a crucial foundation for a country's progress, with the Human Development Index (HDI) as its main benchmark. Lampung Province faces challenges in the form of HDI achievements below the national average and the existence of development inequality between regions. This study aims to analyze the effect of Gross Regional Domestic Product (GRDP), Life Expectancy (UHH), Average Years of Schooling (RLS), and Expenditure per Capita (PP) on HDI in Lampung Province. The method used is multiple linear regression analysis on secondary data from 15 districts/cities in Lampung during the period 2020-2024. The results of the analysis show that the regression model involving the four independent variables is significantly better than the simpler model. The F-test (simultaneous) and t-test (partial) prove that GRDP, RLS, UHH, and PP together and individually have a significant influence on HDI at the 5% significance level. The model also proved to be valid and robust after fulfilling all classical assumption tests, namely residual normality, homoscedasticity, non-autocorrelation, and non-multicollinearity, resulting in the Best Linear Unbiased Estimator (BLUE) model. With an Adjusted R-squared value of 0.9925, this model shows a very high ability to explain variations in HDI. Interpretation of the model shows that Average Years of Schooling (AOLS) has the largest positive influence on HDI improvement.
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI NILAI UJIAN MENGGUNAKAN REGRESI LOGISTIK ORDINAL Triono, Wira; Haliza, Putri Yusra; Sarah, Auta Shintha; Simorangkir, Agnes Monica
Parameter: Jurnal Matematika, Statistika dan Terapannya Vol 3 No 2 (2024): Parameter: Jurnal Matematika, Statistika dan Terapannya
Publisher : Jurusan Matematika FMIPA Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/parameterv3i02pp135-146

Abstract

Penelitian ini menganalisis faktor-faktor yang mempengaruhi nilai ujian siswa dengan menggunakan regresi logistikordinal. Pendidikan merupakan kunci utama untuk kemajuan suatu bangsa, dan pemahaman terhadap faktor-faktor yang memengaruhi kinerja siswa sangatlah penting. Penelitian ini mengkaji faktor internal seperti jam belajar, motivasi, jam tidur, dan kehadiran, serta faktor eksternal termasuk pendapatan keluarga dan jenis sekolah. Menggunakan data sekunder dari dataset "Faktor Performa Siswa" yang tersedia di Kaggle, analisis ini menerapkan model logit kumulatif untuk mengidentifikasi hubungan antara variabel-variabel tersebut. Hasil penelitian menunjukkan bahwa jam belajar dan motivasi memiliki dampak signifikan terhadap nilai ujian, memberikan wawasan berharga untuk pengembangan kebijakan pendidikan yang bertujuan meningkatkan hasil belajar siswa. Penelitian ini berkontribusi pada pemahaman tentang bagaimana berbagai faktor saling terkait dalam keberhasilan akademik, serta menyoroti pentingnya intervensi yang terarah dalam pendidikan.
Co-Authors Aqil, Muhammad Fachri Haliza, Putri Yusra Harahap, Adi Gunawan Hondro, Yizhar Saputra Lubis, Hafiz Khalik Lubis, M. Shadri Ismaun Nurmayani Panjaitan, Rizky Rafiza Pratiwi, Indy Pulungan, Zakiy Maulana Putri, Maharani Renika Rambe, Risa Rozzaqi Sarah, Auta Shintha Simorangkir, Agnes Monica Syairal Fahmy Dalimunthe Tamara, Angga