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All Journal Jurnal Sains dan Seni ITS Jurnal Statistika Universitas Muhammadiyah Semarang Techno.Com: Jurnal Teknologi Informasi Jurnal Buana Informatika Jurnas Nasional Teknologi dan Sistem Informasi Jurnal Ilmiah Teknik Industri Jurnal Pendidikan Agama Islam Jurnal Fourier Prosiding SI MaNIs (Seminar Nasional Integrasi Matematika dan Nilai-Nilai Islami) Journal of Information Technology and Computer Science Desimal: Jurnal Matematika Al-MARSHAD: Jurnal Astronomi Islam dan Ilmu-Ilmu Berkaitan BAREKENG: Jurnal Ilmu Matematika dan Terapan MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jambura Journal of Mathematics MAJAMATH: Jurnal Matematika dan Pendidikan Matematika Contemporary Mathematics and Applications (ConMathA) Journal of Mathematics Education and Science Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Enthusiastic : International Journal of Applied Statistics and Data Science MATHunesa: Jurnal Ilmiah Matematika Jurnal Matematika Integratif STATISTIKA International Journal of Computing Science and Applied Mathematics-IJCSAM
Hani Khaulasari
Universitas Islam Negeri Sunan Ampel, Surabaya, Indonesia
Arts Humanities Astronomy Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation

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An Integrated K-Means++–Davies–Bouldin Index Approach for Educational Resource-Based District Clustering: A Case Study of Districts in Surabaya Subaekti, Hendrik; Hakim, Lutfi; Khaulasari, Hani; Yuliati, Dian
Jambura Journal of Mathematics Vol 8, No 1: February 2026
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjom.v8i1.35412

Abstract

Equitable distribution of educational resources is an important prerequisite to ensure that all communities benefit from human resource development. Access to education through the availability of schools and teachers at every level, plays a role in reducing the gap between regions. This study aims to group educational resources at the elementary and junior high school levels in 31 sub-districts of Surabaya City and evaluate the quality of grouping using the Davies–Bouldin Index (DBI). The analysis was carried out using secondary data from the Surabaya City Education Office which included the number of schools, teachers, and students based on education level in each sub-district. The clustering method used is K-Means++, which improves the centroid initialization process to produce more stable clustering. The results of the analysis identified three clusters, namely Development Education Areas (17 sub-districts), Elementary Focused Areas with Limited Junior High Schools (7 sub-districts), and Priority Education Areas (7 sub-districts: Rungkut, Sukolilo, Wonokromo, Sukomanunggal, Genteng, Kenjeran, and Krembangan). The quality of the grouping was validated with a DBI value of 0.752, which indicates a good cluster separation These findings can directly inform the Surabaya City Government in formulating targeted policies for educational equity, especially in teacher placement, student quota adjustment, and infrastructure development.
MODEL REGRESI BINOMIAL NEGATIF DALAM MENGANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI JUMLAH PENDERITA DIARE Micha Annata Shinami; Moh. Hafiyusholeh; Susilo Ari Wardani; Hani Khaulasari; Aris Fanani
MATHunesa: Jurnal Ilmiah Matematika Vol. 14 No. 01 (2026)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/mathunesa.v14n1.p70-80

Abstract

Kasus diare di Jawa Timur dari tahun ke tahun cenderung tinggi dengan lebih dari 600.000 kasus yang dipengaruhi oleh banyak faktor. Penelitian ini untuk menganalisis faktor yang berpengaruh signifikan terhadap jumlah penderita diare di Jawa Timur. Penelitian ini menggunakan regresi Binomial Negatif sebagai salah satu solusi untuk mengatasi overdispersi pada regresi Poisson. Data diambil dari Dinas Kesehatan Provinsi Jawa Timur dengan variabel terdiri atas akses sanitasi belum layak , jumlah sarana air minum dan pengelolaan sampah rumah tangga . Hasil analisis regresi Binomial Negatif menunjukkan bahwa seluruh variabel independen secara simultan mempunyai pengaruh signifikan terhadap jumlah penderita diare (Y) sedangan variabel pengelolaan sampah rumah tangga berpengaruh signifikan secara parsial terhadap jumlah penderita diare (Y) dengan nilai AIC sebesar 805,699 dan nilai R-Square sebesar 66,6%, sedangkan 33,4% sisanya dijelaskan oleh faktor lain diluar model.
Optimalisasi Blended Learning Model Flipped Classroom pada Perkuliahan Time Series di Prodi Matematika Hani Khaulasari
MAJAMATH: Jurnal Matematika dan Pendidikan Matematika Vol. 5 No. 1 (2022): Vol. 5 No. 1 Maret 2022
Publisher : Prodi Pendidikan matematika Universitas Islam Majapahit (UNIM), Mojokerto, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36815/majamath.v5i1.1756

Abstract

Metode blended learning model Flipped Classroom merupakan proses belajar mengajar dengan cara memadukan pembelajaran tatap muka (synchronous) dan (asynchronous) berbasis Learning Management System serta model pembelajaran terbalik dari metode tradisional. Tujuan penelitian adalah mengevaluasi dari penerapan optimalisasi blended learning flipped classroom pada perkuliahan time series. Sampel penelitian adalah mahasiswa Prodi Matematika yang mengambil mata kuliah Time Series semester Ganjil 2021/2022 sebanyak 33 mahasiswa. Hasil belajar Mahasiswa sebelum (KUIS 1) dan sesudah (UTS) diterapkan metode blended learning model Flipped Classroom di uji paired t-test kemudian melakukan analisis kualitas pembelajaran dengan menghitung indeks kualitas layanan dan analisis GAP. Penerapan blended learning Flipped Classroom telah terbukti optimal dalam meningkatkan hasil belajar mahasiswa karena hasil belajar mahasiswa setelah penerapan pembelajaran blended learning Flipped Classroom lebih tinggi daripada nilai hasil belajar mahasiswa sebelum penerapan pembelajaran blended learning Flipped Classroom. Kualitas layanan pembelajaran blended learning Flipped Classroom sudah baik, akan tetapi ada beberapa indikator kualitas yang perlu diperbaiki yakni Fasilitas hotspot/Paket data internet (A1), Pengembalian hasil koreksi tugas, kuis, UTS dan UAS kepada mahasiswa (b5) dan Intensitas dosen untuk ditemui dalam rangka konsultasi (c1).
The Impact of Investment Value and Number of Projects on Employment in Surabaya’s Leading Economic Sectors Karisma Indra Pitaloka; Dian Yuliati; Hani Khaulasari
Contemporary Mathematics and Applications (ConMathA) Vol. 8 No. 2 (2026)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/conmatha.v8i2.85955

Abstract

This study aims to analyze the impact of investment value and the number of projects on employment in Surabaya’s leading economic sectors during the 2020–2024 period, motivated by fluctuations in investment realization and labor absorption. The data used are sectoral panel data obtained from the Surabaya City Investment and One-Stop Integrated Service Office (DPMPTSP). The analytical method applied is panel data regression, with model selection conducted using the Chow Test and Lagrange Multiplier Test. The results indicate that the Common Effect Model (CEM) is the most appropriate model. The estimation results show that both the number of projects and investment value have a positive and statistically significant effect on employment, as indicated by t-statistics of 24.85441 (p-value = 0.00) and 2.220927 (p-value = 0.037), respectively. Simultaneously, the model is significant based on the F-test (F = 381.9359; p-value = 0.00). The model demonstrates strong explanatory power, with an R-squared value of 0.972006 (97.20%) and an adjusted R-squared of 0.969461, indicating that most of the variation in employment can be explained by the independent variables. Furthermore, classical assumption tests confirm that the model satisfies normality (Jarque-Bera p-value = 0.1064), shows no multicollinearity (VIF < 10), no autocorrelation (Breusch–Godfrey p-value = 0.8476), and no heteroscedasticity (Goldfeld–Quandt p-value = 0.9684). These findings suggest that increasing the number of projects has a more substantial effect on employment compared to increasing investment value, highlighting the importance of expanding labor-intensive projects to enhance job creation.
Co-Authors Abd Rachman Assegaf Abdulloh Hamid Achmad Teguh Wibowo Adam Fahmi Khariri Ahmad Hanif Asyhar Akbar, Jeneiro Rezkyansyah Maulana Amjad Ali Aris Fanani Armunanto, Firman Dian Candra Rini Novitasari Dian Yuliati Efendi, Havid FAJAR SETIAWAN Fajar Setiawan Farmita, Mayandah Ferdani, Ayu Firda Sari Firda Yunita Sari Hafiyussholeh, Moh. Hamidah, Isna Inayah, Jauharotul Karisma Indra Pitaloka Lutfi Hakim M. Imron M. Lail Kurniawan Maharani Kuntari Maharani sukma Kuntari Maliki, Naufal Ridho Maulana, Aashif Amiruddin Micha Annata Shinami Moh. Hafiyusholeh Mohammad Rizal Abidin Muhammad Thohir Nafa Nur Nanda Adifia Novitasari, Dian C Rini Nur Aulia, Shofinatul Wahdah Pramesti, Diah Devi Pramono, Wahyu Joko pratiwi, Yuniar Ines Purhadi Purhadi Putri Krismadewi Putroue Keumala Intan Ratna Pangastuti Rudi Antonius S, Eka Eliyana Sari, Lia Puspita Siti Nurlela SNM, Diva Ayu Subaekti, Hendrik Suhaeri, Fadjar Susanto, Hugeng Susilo Ari Wardani Swantika, Cicik Tiarra Dellaviyanie Muryanto Vianti, Febi Wahyudi, Sharenada Norisdita Wika Dianita Utami Wika Dianita Utami Winda Ari Yati Winda Yati Yuliati, Dian Yuniar Farida Zumrotul Muallifah