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Diabetes risk prediction using logistic regression model Rassiyanti, Linda; Farid, Fajri; Pitri, Rizka
Desimal: Jurnal Matematika Vol. 8 No. 1 (2025): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v8i1.26493

Abstract

This study aims to analyze the factors that contribute to diabetes using the logistic regression method. The data used in this study include variables of number of pregnancies, glucose levels, blood pressure, skin thickness, insulin levels, body mass index (BMI), family history of diabetes, and age. The logistic regression model was applied to determine the effect of each variable on the likelihood of a person having diabetes. Evaluation of model performance was carried out using the ROC (Receiver Operating Characteristic) curve, and the results obtained showed an AUC value of 0.8391, which indicated a very good classification ability of the model. The results of the analysis showed that the number of pregnancies, glucose levels, blood pressure, BMI, and family history of diabetes had a significant effect on the risk of diabetes.
Factor Analysis for Increasing Reading Literacy in Indonesia Pitri, Rizka; Sofia, Ayu
Parameter: Journal of Statistics Vol. 2 No. 2 (2022)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/27765660.2022.v2.i2.15898

Abstract

Low interest in reading is a problem for our nation that must be solved, because Indonesia to occupy second position from bottom in terms of literacy. Most of the provinces in Indonesia are at low literacy activity levels and none of the provinces are included in the high literacy activity level. The lack of interest in reading can be influenced by many factors. Access of supporting resource where people get literacy materials, such as libraries, bookstores, and mass media, how people to get the information technology, and media devices to access literacy materials are the factor that can be affect the interest of reading. Literacy is one of the important cultures for a country. That is because the culture is able to influence the intelligence and well-being of a country's life. So the study aims to see what factors affect to increasing the literacy reading in the provinces in Indonesia. This study uses k-means clustering before applying factor analysis. Based on k-means clustering, two clusters are formed and showed one of the cluster showed that the second cluster is the provinces that have the highest number of library’s facilities. In addition based on the analysis factor in each cluster, two factors were formed, namely the standard factor for reading literacy levels and supporting the facilities for reading literacy. It can be concluded that the way to increase reading literacy in two clusters of the area in Indonesia are by increasing the standard of reading literacy level and supporting the facilities for reading literacy.
IMPLEMENTATION OF THE K-MEDOIDS METHOD IN CLUSTERING HUMAN DEVELOPMENT INDEXES IN INDONESIA Erda, Gustriza; Usdika, Radhiatul Khaira; Pitri, Rizka; Erda, Zulya
Parameter: Journal of Statistics Vol. 3 No. 2 (2023)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/27765660.2023.v3.i2.16906

Abstract

The Human Development Index (HDI), which takes into account three fundamental aspects of human existence, a long and healthy life, knowledge, and a reasonable level of living, is one tool used to assess the effectiveness of human progress. Clustering provinces based on the human development index is important so that development disparities can be identified and help identify provinces with high, medium or low levels of development. The purpose of this study was to use the k-medoids approach to perform a cluster analysis of HDI in Indonesia based on life expectancy, average years of schooling, expected years of schooling, and expenditure per capita adjusted for 2022. The analysis indicate that two clusters were created: cluster 1 had a high human development index, while cluster 2 had a low human development index. More provinces belonged to cluster 1 than cluster 2 suggesting that human development index in Indonesia in 2022 was largely in the high category
SENTIMENT ANALYSIS OF REVIEW DATA OF THE RUANGGURU ONLINE LEARNING APPLICATION USING THE C5.0 ALGORITHM Izzah, Nurul; Nur'eni; Pitri, Rizka
Parameter: Journal of Statistics Vol. 3 No. 2 (2023)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/27765660.2023.v3.i2.16919

Abstract

Sentiment analysis is process to determine the sentiment of a person that is manifested in the form of text. Internet users write their opinions and everything that concerns them in the google play store review column. Moreover, when the world of education could not carry out face-to-face learning due to the covid-19 pandemic, learning turned to e-learning applications. Through this innovation, many pros and cons flow from the community with the existence of Ruangguru online learning application in the world of education. This research was conducted with the aim of determining word cloud visualization and the accuracy of the results of sentiment analysis of review data on the Ruangguru application using the C5.0 algorithm. The word cloud visualization results are dominated by word such as “paham”, “bagus”, “mudah”, “suka”, “langganan”, “seru”, “nyaman”, “senang”, “menarik”, “keren”, “lancar”, “sukses”. This shows that Ruangguru Application is a good application because it is dominated by positive sentiment words which means that users find it helpful and easy to understand the learning material in Ruangguru. The results of the Confusion Matrix show that the model successfully classifies 0.8557 or 85.57% of the data correctly from all test data
EFFECTIVENESS OF INTERACTIVE MULTIMEDIA ARTICULATE STORYLINE 3 USING PAIRED SAMPLE T-TESTS Pitri, Rizka
Parameter: Journal of Statistics Vol. 4 No. 1 (2024)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/27765660.2024.v4.i1.17084

Abstract

In facing the era of globalization, especially in the field of education, the government must improve and prepare a better government system. Therefore, efforts are needed to be made, one of which is by increasing basic abilities in the mathematics. The lack of innovation in the process of learning mathematics makes students feel bored with the material provided. Therefore, students often get mathematics score below the graduate competency standards and even fail. Based on these facts, it is necessary to develop interactive multimedia learning innovations in mathematics by creating interactive multimedia using articulate storyline 3 in mathematics learning. So the research was conducted on the effectiveness of interactive multimedia using storyline articulation 3 using paired sample t-tests. This research was using 166 students of class X SMAN 4 Kotabumi. This study aims to see the efficiency of interactive multimedia articulating storyline 3 on understanding concepts and increasing students' academic scores in mathematics. Based on the results of the paired sample t-test, the p-value is 0.000, which is less than the 0.05 significance level. So it can be concluded that the application of multimedia articulate storyline 3 is efficient in increasing students' understanding of mathematical concepts and academic values.
Hubungan Sebab-Akibat Kecerdasan Interpersonal Terhadap Hasil Belajar Peserta Didik: SEM-PLS Pitri, Rizka; Irawan, Miranda Dimas; Rassiyanti, Linda
Lattice Journal : Journal of Mathematics Education and Applied Vol. 4 No. 2 (2024): Desember 2024
Publisher : Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/lattice.v4i2.9069

Abstract

Interpersonal intelligence is a person's ability to work together and understand between individuals with others. The utilization of interpersonal intelligence in mathematics learning will have an impact on improving the quality of learning outcomes. However, currently the social interaction that occurs in educational units is still low. Thus, resulting in low quality of learning outcomes. Based on this, an analysis is needed to measure the causal relationship between interpersonal intelligence and learning outcomes using Structural Equation Modeling (SEM)-PLS. This study used 75 samples of grade X students at SMAN Martapura. The purpose of this research is to see the cause-and-effect relationship between interpersonal intelligence and learning outcomes. The method used was SEM-PLS method. The instruments used in the study consisted of essay questions and interpersonal intelligence questionnaire. This study shows that there is a significant causal relationship between interpersonal intelligence and students' learning outcomes in mathematics.   Kecerdasan interpersonal merupakan suatu kemampuan seseorang dalam bekerja sama dan memahami antar individual dengan yang lainnya. Pemanfaatan kecerdasan interpersonal dalam pembelajaran matematika akan berdampak pada peningkatan kualitas hasil belajar. Namun, saat ini interaksi sosial yang terjadi di satuan pendidikan masih rendah. Sehingga, mengakibatkan rendahnya kualitas hasil belajar. Berdasarkan hal tersebut, diperlukan suatu analisis untuk mengukur hubungan sebab-akibat antara kecerdasan interpersonal terhadap hasil belajar menggunakan Structural Equation Modeling (SEM)-PLS. Penelitian ini menggunakan 75 sampel siswa kelas X di SMAN Martapura. Tujuan penelitian ini adalah melihat hubungan sebab-akibat antara kecerdasan interpersonal terhadap hasil belajar. Metode yang digunakan adalah metode SEM-PLS. Instrumen yang digunakan dalam penelitian terdiri dari soal essay dan angket kecerdasan interpersonal. Penelitian ini menunjukkan bahwa terdapat hubungan sebab-akibat yang signifikan antara kecerdasan interpersonal terhadap hasil belajar peserta didik di bidang matematika.
EVALUASI REPOSITORI UIN RADEN INTAN LAMPUNG DENGAN PENDEKATAN TECHNOLOGY ACCEPTANCE MODEL (TAM) Yunita, Irva; Pitri, Rizka; Kesuma, Mezan el-Khaeri
Nusantara Journal of Information and Library Studies (N-JILS) Vol. 4 No. 1 (2021): Juni 2021
Publisher : Program Studi Ilmu Perpustakaan dan Informasi, Universitas Islam Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30999/n-jils.v4i1.1179

Abstract

This study aims to determine whether the Technology Acceptance Model (TAM) can be used to measure and determine the effectiveness of the UIN Raden Intan Lampung repository. This model will illustrate that have some factors influenced to decide using a new system, namely perceived ease of use, perceived usefulness, behavioral intention to use, and actual system use. This test was applied to every instrument of questionnaires using Confirmatory Factor Analysis (CFA). This test results that every instrument of questionnaires can measure the efficiency of using the the UIN Raden Intan Lampung Repository and the use of respository in UIN RIL has fulfilled the four aspects of TAM. Keyword: confirmatory factor analysis; repository evaluation; technology acceptance modelABSTRAKPenelitian ini bertujuan untuk mengetahui pendekatan Technology Acceptance Model (TAM) ini dapat digunakan untuk mengukur efektivitas sebuah Repositori serta untuk mengetahui efektivitas Repositori UIN Raden Intan Lampung. Model ini akan memberikan gambaran bahwa ada sejumlah faktor yang mempengaruhi keputusan pengguna dalam menggunakan sistem yang baru, yakni: perceived ease of use (kemudahan), perceived usefulness (kebermanfaatan), behavioral intention to use (kecenderungan), dan actual system use. Hasil pengujian setiap instrument pertanyaan di masing-masing aspek penyusun Technology Acceptance Model (TAM) dengan menggunakan metode Confirmatory Factor Analysis (CFA) menunjukkan bahwa setiap instrument pertanyaan dapat dimanfaatkan untuk mengukur keefisienan penggunaan Repositori UIN Raden Intan Lampung dan penggunaan Respository UIN Raden Intan Lampung sudah memenuhi ke-empat aspek penyusun TAM.