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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 Contemporary Mathematics and Applications (ConMathA) Jurnal Keselamatan Transportasi Jalan (Indonesian Journal of Road Safety) 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 Jurnal Keselamatan Transportasi Jalan
Yuliati, Dian
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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.
Penerapan K-Means Clustering untuk Analisis Kondisi Lalu Lintas di Jalan Ir. H. Soekarno Surabaya Istiqomah, Nurul; Dianita Utami, Wika; Yuliati, Dian
Jurnal Keselamatan Transportasi Jalan (Indonesian Journal of Road Safety) Vol. 12 No. 2 (2025): JURNAL KESELAMATAN TRANSPORTASI JALAN (INDONESIAN JOURNAL OF ROAD SAFETY)
Publisher : Pusat Penelitian dan Pengabdian Masyarakat (P3M)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46447/ktj.v12i2.725

Abstract

Growth in the number of vehicles, especially in urban areas, has a significant impact on traffic density, especially during peak hours, so an approach is needed to group traffic conditions based on the volume of all types of vehicles and the degree of saturation using the K-Means Clustering algorithm. The data used are the volume of all types of vehicles and the degree of saturation obtained from the Surabaya City Transportation Agency. The clustering results show that there are 4 clusters of different traffic characteristics, such as the volume of 2-wheeled vehicles during heavy traffic conditions of more than 4700 vehicles with a degree of saturation of more than 0.45. Evaluation using the silhouette coefficient produces a value of 0.63, which means the quality of the cluster is in a medium structure. This study shows that the clustering method is effective in understanding traffic conditions, although additional features can be done to optimize the quality of the cluster.
Penerapan K-Means Clustering untuk Analisis Kondisi Lalu Lintas di Jalan Ir. H. Soekarno Surabaya Istiqomah, Nurul; Dianita Utami, Wika; Yuliati, Dian
Jurnal Keselamatan Transportasi Jalan (Indonesian Journal of Road Safety) Vol. 12 No. 2 (2025): JURNAL KESELAMATAN TRANSPORTASI JALAN (INDONESIAN JOURNAL OF ROAD SAFETY)
Publisher : Pusat Penelitian dan Pengabdian Masyarakat (P3M)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46447/ktj.v12i2.725

Abstract

Growth in the number of vehicles, especially in urban areas, has a significant impact on traffic density, especially during peak hours, so an approach is needed to group traffic conditions based on the volume of all types of vehicles and the degree of saturation using the K-Means Clustering algorithm. The data used are the volume of all types of vehicles and the degree of saturation obtained from the Surabaya City Transportation Agency. The clustering results show that there are 4 clusters of different traffic characteristics, such as the volume of 2-wheeled vehicles during heavy traffic conditions of more than 4700 vehicles with a degree of saturation of more than 0.45. Evaluation using the silhouette coefficient produces a value of 0.63, which means the quality of the cluster is in a medium structure. This study shows that the clustering method is effective in understanding traffic conditions, although additional features can be done to optimize the quality of the cluster.
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 Dianita Utami, Wika Farizy, Haffif Al Farmita, Mayandah Hani Khaulasari Hunowu, Fairuz Darell Azariah Irzayana, Fitria Salsabilla Karan, Achmad Mustofa Lestari, Dyah Mumpuni Indah Palupi Asih Maulana, Achmad Resnu Maulida, Eka Agustina Moh. Aditya Sirojul Hilmi Nur Aulia, Shofinatul Wahdah Nurfadila, Monika Refiana Nurissaidah Ulinnuha Nurul Istiqomah 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 Suci Rahmawati Suci Rahmawati, Suci Sutini Sutini Sutini, Sutini Wika Dianita Utami Yuniar Farida, Yuniar Yusi, Suyesti