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All Journal Jurnal Simetris CAUCHY: Jurnal Matematika Murni dan Aplikasi Telematika : Jurnal Informatika dan Teknologi Informasi Jurnal Sains Matematika dan Statistika Jurnal Pemberdayaan Masyarakat Madani (JPMM) Al-MARSHAD: Jurnal Astronomi Islam dan Ilmu-Ilmu Berkaitan BAREKENG: Jurnal Ilmu Matematika dan Terapan JTAM (Jurnal Teori dan Aplikasi Matematika) JURNAL SILOGISME : Kajian Ilmu Matematika dan Pembelajarannya Jambura Journal of Mathematics Contemporary Mathematics and Applications (ConMathA) ELIPS: Jurnal Pendidikan Matematika MATH-EDU: Jurnal Ilmu Pendidikan Matematika Postulat : Jurnal Inovasi Pendidikan Matematika AL JABAR: Jurnal Pendidikan dan Pembelajaran Matematika Jurnal Informatika Polinema (JIP) Himpunan: Jurnal Ilmiah Mahasiswa Pendidikan Matematika
Yuliati, Dian
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Arts Humanities Astronomy Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Identifying Significant Factors Affecting the Human Development Index in East Java Using Ordinal Logistic Regression Model Farida, Yuniar; Nurfadila, Monika Refiana; Yuliati, Dian
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 6, No 3 (2022): July
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v6i3.8301

Abstract

The achievement of human development can be reviewed from the Human Development Index (HDI), which is sourced from indicators of health, education, and state income. East Java Province is the second-most populous province in Indonesia which has a high work intensity in economic aspects and abundant natural and human resources. However, judging from the level of the human development index, East Java Province occupies the lowest position compared to other provinces on the island of Java. This study aims to identify significant factors affecting East Java's HDI using ordinal logistic regression. The data from Indonesia Statistics (Indonesian: Badan Pusat Statistik, BPS) of East Java province in 2020 includes seven variables, namely Gross Regional Domestic Product (GRDP), high school participation rate, infant mortality rate, health facilities, population density, labor force participation rate, and open unemployment rate. This study produced two ordinal logistic regression models in medium category HDI and high category HDI with a classification accuracy value of 97.37%. From this model obtained, a significant factor affecting the HDI of East Java is the participation rate of high school and health facilities.
Breast Cancer Survival Analysis Using Cox Proportional Hazard Regression and Kaplan Meier Method Farida, Yuniar; Maulida, Eka Agustina; Desinaini, Latifatun Nadya; Utami, Wika Dianita; Yuliati, Dian
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.v5i2.4653

Abstract

Breast cancer is one of the malignant tumors that begins in the breast cells that develop and attack the surrounding tissues; according to World Health Organization (WHO), breast cancer is globally declared the top five killer cancers. In Indonesia, breast cancer becomes the number one killer cancer.  One of the successes in breast cancer treatment is if the cure obtained by cancer patients can be proven to have the same life expectancy as those who do not have breast cancer.This study aims to know the probability of survival of breast cancer patients and know the factors that affect breast cancer patients' survival. The data were consist of 394 medical records of breast cancer patients at Dr. Soetomo Hospital Surabaya in the period January 2018 – December 2019, with variables used, i.e., initial age of infection, clinical stage, tumor size, metastatic to other organs, type of treatment, and patient status (life or death). This study using Kaplan Meier and Cox Proportional Hazard regression methods, and the result showed that the probability of survival of breast cancer patients (with data samples) was 0.737 or 73.7%. The variables that significantly affect breast cancer patients' survival are the initial age of infection, the clinic stage, and the tumor's size. This research provides information and motivation to the community related to life expectancy, especially in breast cancer patients, to stay motivated in the healing process. In addition, this research is also used to add insight to academics, especially the department of statistics, regarding the regression of Cox Proportional Hazard in analyzing the survival of breast cancer patients.
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.
Co-Authors AA Sudharmawan, AA Abdulloh Hamid Abdulloh Hamid Achmad Fachril Yusuf Ababil Ahmad Hanif Asyhar Aris Fanani Asri Sawiji Darmayani, Mariel Tania Desinaini, Latifatun Nadya Farizy, Haffif Al Farmita, Mayandah Hani Khaulasari Hunowu, Fairuz Darell Azariah Irzayana, Fitria Salsabilla Karan, Achmad Mustofa Lestari, Dyah Mumpuni Indah Palupi Asih Lutfi Hakim Maulana, Achmad Resnu Maulida, Eka Agustina Moh. Aditya Sirojul Hilmi Nur Aulia, Shofinatul Wahdah Nurfadila, Monika Refiana Nurissaidah Ulinnuha Panreshma Rizkha Ambadar Pradita, Mutiea Ira Putri, Daffania Tsabitah Zuhra Putri, Ingrid Amalia Rakhmania, Nadin Rizalatul Qomaria Romdloni, Ro’iqotul Fathiyyah Rozzy, Fahrul Salsabila Sani, Puteri Permata Sari, Dian Candra Rini Novita Sharenada Norisdita Wahyudi Subaekti, Hendrik Suci Rahmawati Suci Rahmawati, Suci Sutini Sutini Sutini, Sutini Wika Dianita Utami Yuniar Farida Yusi, Suyesti