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All Journal Statistika CAUCHY: Jurnal Matematika Murni dan Aplikasi Science and Technology Indonesia Jurnal Matematika: MANTIK Jurnal Matematika Sains dan Teknologi BAREKENG: Jurnal Ilmu Matematika dan Terapan JTAM (Jurnal Teori dan Aplikasi Matematika) JURNAL PENDIDIKAN TAMBUSAI Jurnal Hilirisasi IPTEKS (JHI) Eksakta : Berkala Ilmiah Bidang MIPA Jurnal Aplikasi Statistika & Komputasi Statistik Jurnal Matematika UNAND Community Development Journal: Jurnal Pengabdian Masyarakat Warta Pengabdian Andalas: Jurnal Ilmiah Pengembangan Dan Penerapan Ipteks Makara Journal of Health Research Jurnal Natural Multiverse: Open Multidisciplinary Journal
Izzati Rahmi HG
Universitas Andalas
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Kejenuhan Kerja (Burnout) Pada Guru Sekolah di Kota Solok Rahmi, Izzati; Rahma Nio, Suci
Jurnal Pendidikan Tambusai Vol. 5 No. 3 (2021): 2021
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jptam.v5i3.2086

Abstract

Arah penelitian ini digunakan untuk mengetahui pengaruh burnout pada guru di Kota Solok. Metode dalam penelitian ini menggunakan metode deskriptif. Data dikumpulkan dengan menyebarkan kuisioner terbuka kepada masing-masing responden. Skala yang digunakan dalam penelitian ini adalah skala likert. Alat ukur yang digunakan yaitu skala Maslach Burnout Inventory (MBI). Subjek penelitian yaitu 50 orang guru di Kota Solok, teknik yang digunakan adalah purposive sampling yang artinya setiap subjek harus berdasarkan kriteria tertentu.Data diolah dengan bantuan program SPSS 22 for windows. Hasil yang didapatkan burnout memiliki pengaruh sebesar 78 % dengan kategori tinggi.
PEMILIHAN CARA PERKULIAHAN YANG EFEKTIF BAGI MAHASISWA JURUSAN MATEMATIKA UNIVERSITAS ANDALAS DENGAN METODE ANALYTICAL HIERARCHY PROCESS Fajri, Rahmat; HG, Izzati Rahmi; Yozza, Hazmira
Jurnal Matematika UNAND Vol. 13 No. 2 (2024)
Publisher : Departemen Matematika dan Sains Data FMIPA Universitas Andalas Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jmua.13.2.106-118.2024

Abstract

Perkuliahan adalah kegiatan antara dosen dan mahasiswa di perguruan tinggi sesuai dengan pokok bahasan mata kuliah. Cara pelaksanaan perkuliahan di zaman sekarang dapat dilakukan melalui dua cara yaitu tatap muka dan daring. Untuk Menentukan cara pelaksanaan yang efektif maka dibutuhkan suatu metode pengambilan keputusan. Salah satu metode yang dapat digunakan adalah Analitycal Hierarchy Process (AHP). AHP adalah sebuah metode pengambilan keputusan untuk menghadapi permasalahan yang kompleks dalam menentukan pilihan ataupun prioritas terhadap alternatif pemecahan masalah yang ada. Data yang digunakan adalah data hasil dari kuesioner yang disebarkan pada mahasiswa Jurusan Matematika Universitas Andalas angkatan 2018 dan 2019. Dari hasil analisis didapatkan, mahasiswa lebih memilih tatap muka dengan nilai prioritas 83; 05%.
Diftong dan Kluster Penelitian pada Masyarakat Bakongan, Kabupaten Aceh Selatan Syamsiah, Syamsiah; Qistina, Nurul Ain; Alfiaturrahmi, Alfiaturrahmi; Izzati, Rahmi; Lestari, Sarima
Multiverse: Open Multidisciplinary Journal Vol. 3 No. 3 (2024)
Publisher : Medan Resource Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57251/multiverse.v3i3.1659

Abstract

This study investigates the phonological features of the Acehnese language, focusing on the dialect spoken in Bakongan, South Aceh. The research aims to explore the use of diphthongs and consonant clusters as distinctive elements that reflect regional variation within the Acehnese linguistic landscape. Employing a qualitative descriptive method, this study analyzes data derived from native speaker utterances, emphasizing phonetic patterns and phonological shifts. The findings reveal several unique diphthong forms in the Bakongan dialect, including /eu/, /ie/, /ée/, /eue/, /oe/, /ue/, /ai/, and /oi/, which differ in both usage and distribution from those in standard Acehnese. Furthermore, the study highlights the prominence of consonant clusters—particularly those involving the consonant "r"—as a marked feature in the speech of Bakongan speakers. These phonological variations contribute to the dialect's distinctiveness and underline the internal diversity of the Acehnese language. In conclusion, the research underscores the necessity of documenting local dialects to preserve linguistic richness and to support broader efforts in language maintenance and revitalization, especially in multilingual regions like Aceh.
CLASSIFICATION OF STUNTING IN CHILDREN UNDER FIVE YEARS IN PADANG CITY USING SUPPORT VECTOR MACHINE Rahmi, Izzati; Susanti, Mega; Yozza, Hazmira; Wulandari, Frilianda
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 3 (2022): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (380.912 KB) | DOI: 10.30598/barekengvol16iss3pp771-778

Abstract

Stunting is a nutritional problem in children characterized by the child’s height that is less than twice the standard deviation of the median standard from children growth that has been determined by the WHO. Stunting is influenced by many factors. If the conditional of these factors are known, it can be expected earlier whether a child is stunted or not. In this study, the prediction of stunting was carried out using the Support Vector Machine (SVM) classification method. SVM is a method to find the best hyperplane that can be used to separate two or more classes. In this study, the parameter of the SVM model that must be determined is the cost value and gamma. Based on the result of research using parameters cost=10 and gamma=5, the estimation result of the classification with 100% accuracy can be obtained.
CLASSIFICATION OF TODDLER’S NUTRITIONAL STATUS USING THE ROUGH SET ALGORITHM Rahmi, Izzati; Wulandari, Yana; Yozza, Hazmira; Syafwan, Mahdhivan
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 3 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss3pp1483-1494

Abstract

The health and nutrition of children at the age of five are very important aspects in the children’s growth and development. An assessment of the nutritional status of toddlers that is commonly used is anthropometry. This study aims to obtain the decision rules used to classify toddlers into nutritional status groups using the rough set algorithm and determine the level of classification accuracy of the resulting decision rules. The index used in this study is the weight-for-age index. Attributes used in this study were the mother’s education level, mother’s level of knowledge, the status of exclusive breastfeeding, history of illness in the last month, and nutritional status of toddlers. The results of the analysis show that there are 21 decision rules. In this study, the resulting decision rules experience inconsistencies. The selection of decision rules that experience inconsistencies is based on each decision rule’s highest strength value. The rough set algorithm can be used for the classification process with an accuracy rate of 86.36%.
A MAGDM ALGORITHM FOR DECISION-MAKING PROBLEMS ON FUZZY SOFT SETS USING A COEFFICIENT CORRELATION AND AN ENTROPY MEASURE FOR DETERMINING THE WEIGHT OF PARAMETERS Khairunnisa, Latifa; Nazra, Admi; HG, Izzati Rahmi
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 3 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss3pp1503-1512

Abstract

In statistics, the correlation coefficient concept aims to show how strong the linear relationship between two variables is. Sometimes the data collected relates to everyday life problems whose value is uncertain. Therefore, the concept of correlation coefficient must be developed on the fuzzy sets and the fuzzy soft sets environment. In this study, a decision-making algorithm was designed on fuzzy soft sets using the concept of the correlation coefficient. The method used is MAGDM, where the parameter weights are determined using entropy measures. Using this method, the algorithm of our decision-making problem is more realistic and general. The final section gives an example of a decision-making problem and a numerical illustration using the designed algorithm.
A COMPARISON OF FUZZY TIME SERIES CHENG AND CHEN-HSU IN FORECASTING TOTAL AIRPLANE PASSENGERS OF SOEKARNO-HATTA AIRPORT Zahra, Latifah; Maiyastri, Maiyastri; Rahmi, Izzati
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 1 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss1pp0019-0028

Abstract

In some cases, the demand for flights has increased or decreased unexpectedly. Based on this airport as a service provider balance the availability of the service and the needs in the field. To balance all the provided services, the airport needs to predict the total passenger that would visit the airport on consecutive days. Thus, a form of time-series forecast is used in this research. We applied fuzzy time series (FTS) to forecasting total airplane passengers, where there are several logics in FTS including FTS Cheng’s Logic and FTS Chen-Hsu’s Logic. To determine the accuracy of the forecast, use three criteria, namely Root Mean Squared Error (RMSE), Mean Absolute Deviation (MAD), and Mean Absolute Percentage Error (MAPE). In terms of modelling and forecasting data, FTS Chen-Hsu’s Logic is better than FTS Cheng’s Logic. This is shown in the value of three accuracy criteria of FTS Chen-Hsu’s Logic are smaller than FTS Cheng’s Logic. Conclusion, FTS Chen-Hsu method can be used as a forecasting model for the total passenger airplane in Soekarno-Hatta International Airport
EXAMINING RISK FACTORS OF ANEMIA IN PREGNANCY USING HYBRID LOGISTIC REGRESSION MODEL AND ROUGH SET THEORY Rahmi, Izzati; Efendi, Riswan; Samat, Nor Azah; Yozza, Hazmira; Syafwan, Mahdhivan
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 1 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss1pp0537-0552

Abstract

Anemia in pregnancy is a potential danger to the mother and child. Therefore, the risk of anemia in pregnant women requires serious attention from all relevant parties. Considering the numerous negative effects caused by anemia in pregnant women, efforts must be made to prevent and treat anemia in pregnant women by understanding the factors that influence it. This study assesses the risk factors for anemia in pregnant women at Tegal Rejo Community Health Center, Yogyakarta Province. In this paper, a new integrated classification approach with binary logistic regression (LR) analysis and Rough Set Theory (RST) is proposed, in order to examine factors on the incidence of anemia in pregnancy. The proposed model is called the Logistic Regression and Reduction Rough Set (LR3S). In LR3S model, the RST technique is used to detect inconsistent sample and removing inconsistent sample that have probability less than 0.5 before doing LR modelling. To evaluate the development of the resulting model, a comparison was made of the performance of Original Logistic Regression (OLR), LR model after removed outlier namely as Remove Outlier Original Logistic Regression (RO2LR) and LR3S. Using a number of model performance metrics, it is found that LR3S has the best performance for the three models used. Using LR3S model, it is found that CED status, educational level, parity and gestational are significant variable impact on the incidence of anemia.
Analysis of Students' Satisfaction Level on iLearn Quality during COVID-19 Pandemic with WebQual 4.0 and PLS-SEM HG, Izzati Rahmi; Wulandari, Frilianda; Devianto, Dodi
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 6, No 2 (2022): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v6i2.7440

Abstract

Andalas University implements a Learning Management System (LMS) named iLearn as an online learning facility to carry out the learning process during the COVID-19 pandemic. This research analyzes the influence of iLearn quality on students' satisfaction levels. iLearn quality is measured by WebQual 4.0 instrument, which consists of three variables, i.e. Usability, Information Quality, and Service Interaction Quality. To analyze the relationship between the WebQual 4.0 variables and students' satisfaction, we used Partial Least Squares - Structural Equation Modeling (PLS-SEM) method. The research sample is 100 students of the Mathematics Department of Andalas University who were enrolled in iLearn. Based on data analysis, the structural equation model for the students' satisfaction level is obtained. From the model, the variables that significantly affect the Student Satisfaction Level are Usability and Service Interaction Quality, with a P-value of 0.001. In contrast, the Information Quality has a low significance in influencing students' satisfaction levels in iLearn quality with a P-value of 0.420. Improvements on iLearn quality can be made by reviewing these measured indicators. 
Co-Authors Admi Nazra Alfiaturrahmi, Alfiaturrahmi Arrival Rince Putri Bahri, Susila Baqi, Ahmad Iqbal Budi Susetyo Citra Komang Sari Devianto, Dodi Efendi, Riswan Fadila Rasyid Fadilla Nisa Uttaqi Febriyuni, Rahmi Firdawati, Firdawati Haripamyu Haripamyu Hazmira Yozza Helmi, Monika Rianti Indahwati Indahwati Jenizon Jenizon Kamarni, Neng Khairunnisa, Latifa Lestari, Sarima M.PIO HIDAYATULLAH Maiyastri, Maiyastri Mega Susanti Mutiara Fara Nabilla Nadya Putri Alisya Narwen Narwen NINDI MAULA AZIZAH Qistina, Nurul Ain Rahmat Fajri Rahmat Fajri Riri Lestari Samat, Nor Azah Stepani Burni Safitri Suci Rahma Nio Syafwan, Mahdhivan Syamsiah, Syamsiah Tasya Abrari WULANDARI, FRILIANDA Wulandari, Yana Yanita Yanita Yanuar, Ferra Yulianti, Lyra Yulmiati Yulmiati Zahra, Latifah Zetra, Aidinil