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Journal : International Journal of Applied Mathematics and Computing.

Factors That Influence Diabetes Disease: Case Study: Pima Indians Ni Made Deviani Prisilia; Adelia Yuniarti; Citra Annisa Rahmania; Made Ayu Asri Oktarini Putri; Made Susilawati
International Journal of Applied Mathematics and Computing Vol. 1 No. 4 (2024): October: International Journal of Applied Mathematics and Computing
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijamc.v1i3.27

Abstract

Diabetes is one of the non-communicable diseases that is considered dangerous due to its susceptibility to complications. This disease is caused by high blood sugar levels in a person's body, which makes the blood more alkaline and slows down the metabolic process. In this study, we observed 8 variables that are considered influential in diabetes and will build a regression model that can predict the response variable (y) through Logistic Regression Analysis. Logistic Regression Analysis is a statistical analysis method used to describe the relationship between a dependent variable with two or more categories and one or more independent variables that are categorical or continuous. Based on the results, the logistic regression model for factors influencing diabetes in the Indian Pima tribe includes variables such as number of pregnancies, glucose level, blood pressure, body mass index, and diabetes pedigree function
Factors Influencing the Study Period of Students of the Mathematics Study Program at Udayana University Ulfatun Farika Novitasari; Adinda Audy Sita Mayzandy; Miltiades Dewifortuna Pulo; Juliani Tandi Tumbiri; Nurul Ilma; Made Susilawati
International Journal of Applied Mathematics and Computing Vol. 2 No. 1 (2025): International Journal of Applied Mathematics and Computing
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijamc.v2i1.92

Abstract

The student study period is one of the important aspects to measure the quality of a higher education institution. The length of the student study period can be assumed to come from internal factors and external factors, so it is necessary to conduct research that aims to identify and model the factors that affect the student study period. The method used in this research is logistic regression and the data used is primary data obtained from distributing questionnaires. The target of this research is aimed at alumni students from the Mathematics Study Programme of Udayana University from 2011 to 2019. In this study, the best model produced has a classification accuracy of 98.17% and the independent variables that have a significant effect on the study period are gender, tuition fees and interest in majors.
Application of Conjoint Analysis with Attributes Determined Against the Selection of Expedition Services Putu Rama Hari Bagaskara P.; Ni Luh Putu Suciptawati; Made Susilawati
International Journal of Applied Mathematics and Computing Vol. 2 No. 3 (2025): July : International Journal of Applied Mathematics and Computing
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijamc.v2i3.201

Abstract

This study aims to determine the level, attribute, and stimulus most considered by respondents in choosing expedition services. The method used is conjoint analysis by applying the conjoint analysis full-profile method to design the stimulus. The attributes and levels used are delivery type (ECO, REG, express, and same day), payment methods (cash and online transfers), service promotions (cost discounts and goods pick-up), and service responsiveness (responses to damage or loss of goods and responses to late delivery). The results of research conducted on 150 respondents showed that delivery type is the most preferred attribute with a value of 0,324. The levels with the largest part-worth of each attribute are REG (0.335), online transfers (0.210), cost discounts (0.270), and response to damage or loss of goods (0.250). The most popular stimulus is expedition services with standard shipping (REG), online transfers, cost discounts, and responses to damage or loss of goods.
Identification of Risk Factors for Chronic Kidney Disease Using Binary Logistic Regression Kosasih, Eva; Asmara Santhi, Ni Kadek Wulanda; Febriyanti, Ni Wayan Atik; Br Barus, Eka Valencia; Susilawati, Made
International Journal of Applied Mathematics and Computing Vol. 2 No. 3 (2025): July : International Journal of Applied Mathematics and Computing
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijamc.v2i3.222

Abstract

Chronic Kidney Disease (CKD) is a major global health issue that can lead to serious complications and long-term medical care. This study aims to identify key clinical factors associated with CKD status using binary logistic regression analysis. The dataset, obtained from Kaggle, contains 400 patient records with various clinical and demographic attributes. The dependent variable is CKD status (positive or negative), while the independent variables include age, blood pressure, hemoglobin level, urine albumin level, and serum creatinine. Initial analysis involved descriptive statistics and multicollinearity checks, followed by model estimation and evaluation using likelihood ratio and Wald tests. The final model identified four significant predictors: blood pressure, hemoglobin, urine albumin, and serum creatinine. The model achieved a high classification accuracy of 95.50% and an Area Under the ROC Curve (AUC) of 98.78%, indicating excellent predictive performance. These results highlight the importance of these clinical indicators in early CKD detection and support their use in risk assessment models for kidney disease screening Keywords: Chronic Kidney Disease, Binary Logistic Regression, Likelihood Ratio Test, Wald Test, Classification Accuracy
Co-Authors AA Sudharmawan, AA Ade Widyaningsih Adelia Yuniarti Adinda Audy Sita Mayzandy ALEXANDER JOSEPH RIADI Andini Ni Kadek ANNA FITRIANI Anresangsya Pria Satvika Antesty, Sella Asmara Santhi, Ni Kadek Wulanda As’ady, Mustofa Bagus Hari Sugiharto Bakkara, Bonica Nisra Br Barus, Eka Valencia Chandra, Johnny Chrisna Anzella Jacob Citra Annisa Rahmania DAIMATUL KHOIRIYAH DESAK AYU WIRI ASTITI Desak Putu Eka Nilakusmawati DEWA AYU DWI ASTUTI Dewa, Saroja Sari Diana Anggraini Kusumawati Diana Diana Diva, Made Tresia Pramasta Duffin DWI LARAS RIYANTINI Eddy Silamat, Eddy EKA N. KENCANA Eko Nur Hermansyah EVI NOVIYANTARI FATIMAH Fadil Mas’ud Fatmasari, Ria Kristia Febriyanti, Ni Wayan Atik FELINA CHANTIKA PUTRI G. K. GANDHIADI G. K. GANDHIADI G.K. GANDHIADI GUSTI AYU RATIH ASTARI Hartono Hartono Hellena Hendarta Hiras Pasaribu Hugo Prasetyo Winotoatmojo I Gusti Ayu Made Srinadi I GUSTI AYU MADE VALENTINA DEWI I GUSTI NGURAH SENTANA PUTRA I KOMANG GDE SUKARSA I PUTU ARISTA YASA I Putu Eka Nila Kencana I Putu Winada Gautama I WAYAN RIAN PRATAMA I WAYAN SUMARJAYA I Wayan Sumarjaya I.G.A. DIAH SULASIH IDA AYU SRI PADMINI IMAMUDDIN KAMIL INA AZIZAH KADRI IRA INDRIYANTI IYOS ALFRANTA SURBAKTI Jamaluddin Majid Johannes P Kumagaya Judijanto, Loso Juliani Tandi Tumbiri KADEK YUSA MAHENDRA Kartika Sari Kastini, Ni Wayan Ketut Jayanegara Kharisma Dewi, Ni Putu Dian KOMANG CANDRA IVAN KOMANG KOKOM SUCAHYATI DEWI P Kosasih, Eva Kundori Kusiyah LUH GEDE UDAYANI LUH PUTU IDA HARINI LUH PUTU SAFITRI PRATIWI Luluk Sarifah M ARRIE KUNILASARI ELYNA Made Ayu Asri Oktarini Putri MADE AYU DWI OCTAVANNY MADE NARYMURTI WIDYASTUTI Masnoni, Masnoni Meilandri, Detti MILATUS SHOLIKHA Miltiades Dewifortuna Pulo MIRA AYU NOVITA SARI MODANA LOLITA Muhamad Risal Tawil Naswan Hadilia Neneng Widayati Nggandung, Yeheskial NI KADEK AYU PUJI ASTUTI NI KADEK DWI ARISYA AFRILIANTI NI KADEK ENDAH YANITA UTARI Ni Ketut Tari Tastrawati Ni Komang Jeni Frika Yanti NI LUH GEDE WIDIADNYANI NI LUH PUTU RATNA KUMALASARI Ni Luh Putu Suciptawati NI LUH WIWIN YUNIARTI NI MADE ARY DHARMA WIDYA ASTUTI Ni Made Deviani Prisilia NI MADE PUSPASARI NI MADE SRI KUSUMAWARDHANI NI MADE SRI SUGIANTARI NI MADE SUKMA PERTIWI NI MADE SURYA JAYANTI NI NENGAH RIKA PUSPITA NI NYOMAN UTAMI DEWI Ni Nyoman Widiasih NI PUTU IIN VINNY DAYANTI NI PUTU NADYA AGUSVIANI NI PUTU PREMA DEWANTI NI WAYAN ARI SUNDARI NI WAYAN DIAH SIHMAWATI NI WAYAN WIDYA EKARANI NI WAYAN YUNI CAHYANI Nilakusmawati, DPE ningrum, dedah - Ningrum, Endah Prawesti Nurhanimah Nurul Ilma Nurul Iman, Nurul Nyoman Wendri Octavanny, Made Ayu Dwi PALUPI PURNAMA SARI Parlindungan Dongoran PRISCELLA PURBA PUTRI DAMEYANTI Putu Edi Dimas Saputra PUTU OKA SURYA ARSANA Putu Rama Hari Bagaskara P. Rinovian Rais Sahri, Yulian Sari Purnamayanti, Ni Gusti Ayu Kadek Selan, Dwi Dersmi Siti Hawa SITTI HAJAR Srinadi, I Gusti Ayu Srinadi, IGAM Suciptawati, NLP Syunikitta, Mirwanti Thalib, Najdah Tita Safitriawati Tubagus, Munir Ulfatun Farika Novitasari Usmany, Paul Utami, Eva Yuniarti Wagiyo Widianti, Nyoman Widyatmike Gede Mulawarman Yasir Maulana, Yasir ZAKIAH NURLAILA Zein Ghozali