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All Journal Jurnal Ilmu Dasar Jurnal Gaussian KADIKMA BERKALA SAINSTEK Tadris: Jurnal keguruan dan Ilmu Tarbiyah Prosiding Seminar Matematika dan Pendidikan Matematik Jurnas Nasional Teknologi dan Sistem Informasi UNEJ e-Proceeding Indonesian Journal of Applied Statistics International Conference on Mathematics and Science Education of Universitas Pendidikan Indonesia Majalah Ilmiah Matematika dan Statistika (MIMS) JURNAL BIOSHELL Jurnal Ilmiah Matematika Pancaran Pendidikan JPMA Jurnal Statistika dan Komputasi (STATKOM) Jurnal Hasil Pengabdian Kepada Masyarakat Universitas Jember
I Made Tirta
Jurusan Matematika, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Jember
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Physics Social Sciences Other

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Covariance Based approach SEM with Bollen-Stine Estimation (Case Study Analysis of The Effect of Teacher and Principal Competence on Achievement of National Standards) Kasmuri Kasmuri; I Made Tirta; Yuliani Setia Dewi
Jurnal ILMU DASAR Vol 16 No 2 (2015)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (378.054 KB) | DOI: 10.19184/jid.v16i2.899

Abstract

Applications of covariance Based SEM (CB-SEM) generally use the maximum likelihood, based upon the assumption on the normal distribution of data. One alternative that could be applied if the data were not normally distributed is estimation using  Bollen-Stine bootstrap approach. In this study, the method is applied to reveal the influence of teacher competence, the principal competence, to the value of achievement of national education standards in secondary schools in Banyuwangi.The objective of this paper was to determine and analyze the relationship and to know the  the most dominant indicators of  measure latent variables between the  the principal, teachers competences on national standards of educational attainment in secondary schools in Banyuwangi. The results  indicate that all of the indicator of variables are  valid and reliable to measure corresponding latent variables. Each latent variable has the most dominan indicator. For the principal competence  latent variables the most dominant  indicator is the entrepreneurial competence, for teachers competency the most dominant is personal competence, whereas for  national education standards, the most dominant  standard of facilities. Principal competence  has indirect influence on national education standard achievement, but directly affect the competence of teachers.  Teacher competence directly influence national education standards.Keywords: Power Competence Teachers, Competence Principal, National Education Standards,  covariance Based SEM, Bollen-Stine Bootstrap Estimates
Structural Equation Modeling of the Factors Affecting the Nutritional Status of Children Under Five in Banyuwangi Region using Recursive (one-way) GSCA I Made Tirta; Nawal Ika Susanti; Yuliani Setia Dewi
Jurnal ILMU DASAR Vol 16 No 1 (2015)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1517.157 KB) | DOI: 10.19184/jid.v16i1.534

Abstract

Structural Equation Modeling is one among popular multivariate analysis, especially applied in pschology and marketing. There are two main types of Structural Equation Modeling namely covariance-based or CB-SEM and variance-based or Partial Least Square (PLS)- SEM. Both types have advantages and disadvantage. To overcome its limitation, Generalized Structured Component Analysis (GSCA) was then proposed as an extension of PLS-SEM. In estimating the parameters, GSCA uses Alternating Least Squares (ALS) and in estimating the standard error of the parameter estimates it uses the bootstrap method. In this paper, GSCA is applied to study the causality model of Infant nutritional status, in relation with socio-economic status and infantcare status in Banyuwangi Region. The results show that both socio-economic and infantcare status have significant positive influence on infant nutritional status.Keywords:  Alternating least square, generalized structural component analysis,  nutritional status of infants,  structural equation modelling
The Efficiency of First (GEE1) and Second (GEE2) Order “Generalized Estimating Equations” for Longitudinal Data Rizka Dwi Hidayati; I Made Tirta; Yuliani Setia Dewi
Jurnal ILMU DASAR Vol 15 No 1 (2014)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (799.799 KB) | DOI: 10.19184/jid.v15i1.553

Abstract

The approach of GEE focuses on a linear model for the mean of the observations in the cluster without full specification  the distribution of full-on observation. GEE is a marginal model where is not based on the full likelihood of the response, but only based on the relationship between the mean (first moment) and variance (second moment) as well as the correlation matrix. The advantage of  GEE is that the mean of  parameter are estimated consistently regardless whether  the correlation structure is specified correctly or not, as long as the mean has the correct specifications. However, the efficiency may be reduced when the working correlation structure is wrong. GEE was designed to focus on the marginal mean and correlation structure as nuisiance treat. Implementation of GEE is usually limited to the number of working correlation structure (eg AR-1, exchangeable, independent, m-dependent and unstructured). To increase the efficiency of the GEE, has introduced a variation called the Generalized Estimating Equations order 2 (GEE2). GEE2 has been introduced to overcome the problem that considers correlation GEE as nuisiance, by applying the second equation to estimate covariance parameters and  solved simultaneously with the first equation. This study used simulation data which are designed based on the the AR-1 and Exchangeable correlation structure, then estimation are done  using theAR1 and exchangeable. For GEE2,  estimation done by adding model for correlation link. The result is a link affects the efficiency of the model correlation is shown with standard error values ​​generated by GEE2 method is smaller than the GEE method.
Interface web development for analysis of item response theory with mixed model approach and application on bank soal MGMP T C P Utama; I Made Tirta; M Fatekurrahman
International Conference on Mathematics and Science Education of Universitas Pendidikan Indonesia Vol 3 (2018): Promoting 21st Century Skills Through Mathematics and Science Education
Publisher : Pascasarjana Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1197.755 KB)

Abstract

The development of the world of education today is progressing very rapidly, the era of technology is increasingly modern, so that teachers must have adequate competence in every process of teaching and learning activities. One type of measurement often done in education are measurement of the students’ performance both for cognitive and effective aspects. These measures are extremely important therefore must use a good measuring tool and the results also easy to interpret. The measurement of students performance mostly use tests. Items response theory have evolved from traditional one to modern theories to apply more realistic models which are known as item response theory. However the use of modern test theory much rely on availability of the computer software. In this paper we report the development of a web-GUI interface that can be used to analyze polytomous responses, using Hierarchical Generalized Linear Models which will also contains theories and interpretations of the results. This web-GUI interface is expected to help teachers to understand and to do the analysis of polytomous responses more easily.
On the Development of Web-GUI Interface for Analyzing Polytomous Responses Tika Clarinta Putri Utama; Indriasih Yanuwijaya; I Made Tirta
Pancaran Pendidikan Vol 7, No 2 (2018)
Publisher : The Faculty of Teacher Training and Education The University of Jember Jember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (314.069 KB) | DOI: 10.25037/pancaran.v7i2.169

Abstract

One type of measurement often done in education are measurement of the students’ performance both for cognitive and affective aspects. These measures are extremely important therefore must use a good measuring tool and the results also easy to interpret. The measurement of students performance mostly use tests. Measurement test have evolved from traditional one to modern theories to apply more realistic models which are known as item response theory. However the use of modern test theory much rely on availability of the computer software. In this paper we report the development of a web-GUI interface that can be used to analyze polytomous responses, especially using partial credit and graded response models which will also contains theories and interpretations of the results. This web-GUI interface is expected to help teachers to understand and to do the analysis of polytomous responses more easily.
Modeling Student Mathematics Achievement in Senior High School Based on Selection Results Using Gee 2 Method with Natural Spline Erfan Syahuri; I Made Tirta; Budi Lestari; Dian Anggraeni
Pancaran Pendidikan Vol 6, No 3 (2017)
Publisher : The Faculty of Teacher Training and Education The University of Jember Jember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (854.303 KB) | DOI: 10.25037/pancaran.v6i3.54

Abstract

Every school has a vision and mission to become the superior institution so that it can compete and gain trust from the public. To achieve that, one of the efforts of the school is doing the selection of new students at the beginning of each academic year. In Lumajang region, admission of new students (PPDB) are selected using several components, such as national test scores (NUN) and Mapping/Placement test (MP). This research explores the best model of the relationship between selection components (and other conditions of students at the time of selection) and academic achievement during high school (in the form semester mathematics grade) starting from semester 1 till 5 at 3 schools in Lumajang regions. We apply Generalized Estimating Equation order 2 (GEE2) with Natural Spline. The results show that (i) the three schools, have different model and PGRI has the highest mean, followed by SMA1and SMA3, as shown by significant negative estimates of the coefficients. (i) Altough it is relatively small, distance from school has negatif contribution to the mathematics grade as shown by negatif (but significant) coefficient; (ii) The Junior High School NUN has nonlinear (and nonparametric) contribution as shown by the graphical representation and coefficient of natural spline. (iii) Score of Placement Test contribute positively and significantly to the the smester mathematics grade.
KLASIFIKASI DATA DIAGNOSIS COVID-19 MENGGUNAKAN METODE SUPPORT VECTOR MACHINE (SVM) DAN GENERALIZED LINEAR MODEL (GLM) Yeni Rismawati; I Made Tirta; Yuliani Setia Dewi
UNEJ e-Proceeding 2022: E-Prosiding Seminar Nasional Matematika, Geometri, Statistika, dan Komputasi (SeNa-MaGeStiK)
Publisher : UPT Penerbitan Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Covid-19 is still a global concern. From the first time, this virus was detected, on December 31, 2019. As of March 20, 2022, there were 460 million positive cases of Covid-19, with 6.06 million deaths worldwide. The high number of Covid-19 cases is due to the rapid spread of this virus. One way to prevent the spread of this virus is by early detection of the disease and mapping the influence factors .The classification method with the support vector machine (SVM) method in machine learning can predict individuals diagnosed as positive for Covid-19 and who do not use the factors considered influential. Traditionally this can also be done with a generalized linear model (GLM). This study aims to compare two methods (SVM and GLM) in predicting individuals diagnosed as positive for Covid-19. In addition, this study also conducted an ensemble between SVM and GLM to determine whether the ensemble performed could produce better accuracy than the single classifier (SVM and GLM). The results showed that the accuracy with SVM and GLM was relatively high. However, SVM is slightly superior with 98.91% accuracy, and GLM with 95.64% accuracy. Meanwhile, the ensemble of both models achieved 98.91% accuracy, as high as SVM. Keywords: Covid-19, Klasifikasi, Machine Learning SVM, GLM
PENINGKATAN KOMPETENSI GURU MGMP MATEMATIKA SMP WILAYAH KABUPATEN JEMBER TIMUR DALAM PEMANFAATAN PEMBELAJARAN BERBASIS WEB INTERAKTIF PADA POKOK BAHASAN HIMPUNAN, RELASI, DAN FUNGSI Ikhsanul Halikin; I Made Tirta; Kusbudiono Kusbudiono
Jurnal Pengabdian Masyarakat Applied Vol 1 No 2 (2022): JPMA Volume 1 Number 2 Year 2022
Publisher : Fakultas Ekonomi dan Bisnis

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (585.039 KB) | DOI: 10.19184/jpma.v1i2.34765

Abstract

Munculnya COVID 19 yang berkepenjangan menyebabkan pembelajaran di semua tingkat, termasuk pembelajaran di SMA, dilakukan secara daring. Dalam pembelajaran secara daring sangat dirasakan perlunya media pembelajaran yang memungkinkan siswa belajar secara aktif. Salah satu yang termasuk media pembelajaran jenis ini adalah media pembelajaran online yang bersifat dinamik dan interaktif. Jurusan Matematika FMIPA Universitas Jember telah mengembangkan media pembelajaran melalui web interaktif (https://statslab-rshiny.fmipa.unej.ac.id/RDoc/Himpunan/) yang dapat diakses oleh siswa kapan pun dan dimana pun, sebagai salah satu upaya untuk membuat pembelajaran daring lebih optimal. Dalam pengabdian ini dilakukan kegiatan pemaparan dan pelatihan kepada guru MGMP Matematika SMP Wilayah Kabupaten Jember Timur mengenai penerapan web dalam proses pembelajaran yang interaktif terutama untuk pokok bahasan himpunan, relasi, dan fungsi. Kegiatan tersebut dilakukan dua tahap, yaitu kegiatan secara offline di SMP Negeri 1 Mumbulsari dilanjutkan dengan komunikasi secara online selama latihan memanfaatkan web. Hasil pengamatan selama berlangsungnya proses kegiatan dan umpan balik terhadap kegiatan ini menunjukkan adanya antusiasme dan respon yang sangat baik dari para guru.
Klasifikasi penyakit Demam Berdarah Dengue (DBD) menggunakan algoritma C5.0 berbasis Binary Particle Swarm Optimization (BPSO) Ani Rimadani; Agustina Pradjaningsih; I Made Tirta
Jurnal Ilmiah Matematika Vol 9, No 2 (2022)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/konvergensi.v9i2.26089

Abstract

Dengue Hemorrhagic Fever, or DHF, is an infectious disease caused by the dengue virus. Diseases that are dangerous and at risk of death must be treated quickly and precisely. The determination that someone is suffering from DHF or not can be done with the classification technology, namely the decision tree method, the C5.0 algorithm. Over time, the number of features in the classification increases. Feature reduction is needed for a good model, namely the Binary Particle Swarm Optimization (BPSO) algorithm. This research used 13 features consisting of 12 independent features and one bound feature with two classes: Positive and Negative. The better model in this study is the classification C5.0 algorithm based on BPSO, which can reduce features from 12 to 9 features with an accuracy of 86% compared to classification with the C5.0 algorithm alone, which produces an accuracy of 71%.
Implementasi Random Forest Menggunakan SMOTE untuk Analisis Sentimen Ulasan Aplikasi Sister for Students UNEJ Anisa Fitri Anjani; Dian Anggraeni; I Made Tirta
Jurnal Nasional Teknologi dan Sistem Informasi Vol 9, No 2 (2023): Agustus 2023
Publisher : Jurusan Sistem Informasi, Fakultas Teknologi Informasi, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/TEKNOSI.v9i2.2023.163-172

Abstract

Pendidikan di era digital sangat memanfaatkan teknologi dan informasi sebagai prasarana  pembelajaran melalui aplikasi milik perguruan tinggi tertenu. Sister for Students (SFS) merupakan aplikasi yang dikembangkan oleh UPT-TIK Universitas Jember yang memiliki peran sangat penting untuk menunjang kegiatan pembelajaran di Universitas Jember, sehingga perlu dilakukan analisis kualitas layanan aplikasi tersebut berdasarkan komentar oleh pengguna menggunakan analisis sentimen. Analisis sentimen merupakan klasifikasi teks yang dilakukan dengan tujuan memperoleh informasi dari pengguna mengenai kualitas layanan SFS. Masalah yang sering terjadi pada proses klasifikasi yaitu adanya data imbalance, salah satunya pada klasifikasi teks. SMOTE dilakukan untuk menangani data imbalance dengan cara membangkitkan data sintetis pada kelas minoritas, hal ini diharapkan agar kinerja klasifikasi lebih baik. Penelitian ini menggunakan metode klasifikasi Random Forest dan SMOTE dengan perbandingan proporsi splitting data  dan  untuk analisis sentimen pada ulasan aplikasi SFS. Data yang digunakan sebanyak 913 data dimana kelas positif sejumlah 363 dan negatif sejumlah 550. Hasil model terbaik yaitu model Random Forest menggunakan SMOTE dengan proporsi 90:10 dengan akurasi testing 98,9%, recall 100%, precision 96,7%, f1-score 98,3% dan nilai AUC sebesar 99,2%. Informasi yang diperoleh dari analisis sentimen SFS UNEJ diperoleh kata yang mengarah positif  yaitu “bagus”, “mantap”, “keren”, “bantu”, “lumayan”, “lebihbaik”, “mudah”, “unej” dan “suka”. Kata yang mengarah pada sentimen negatif yaitu “eror”, “tidakbisa”, “presensi”, “jelek”, “update”, “ribet”, “sulit”, “forceclose” dan “qrcode”.
Co-Authors A As’ad Agus Isdarmawan Agustina Pradjaningsih Alfian Futuhul Hadi Anak Agung Gede Sugianthara Andina Ishmah Almira, Andina Ishmah Ani Rimadani Anisa Fitri Anjani Anjani, Anisa Fitri Arika Indah Kristiana Asy’ari, Muhammad Lutfi As’ad, A Aulia, Andini Cahya Budi Lestari Budi Lestari D. Dafik Dian Anggraeni Dian Anggraeni Dian Anggraeni Elsa Yuli Kurniawati Erfan Syahuri Habibi, Azwar Haeruddin Haeruddin Haeruddin Haeruddin Holipah, Holipah Ikhsanul Halikin, Ikhsanul Indriasih Yanuwijaya Istiqomah, Fikriana Nur Kasmuri Kasmuri Kasmuri Kasmuri, Kasmuri Khoirunnisa, Wilda Kurniawati, Elsa Yuli Kusbudiono Kusbudiono, Kusbudiono Lutfi Ardining Tyas M Fatekurrahman M. Isnaini Marino Marino, Marino Maulidani, Noor Dyah Miftahul Ulum Mohamad Fatekurohman Muhammad Lutfi Asy’ari Mutiarasari, Yusna Nawal Ika Susanti, Nawal Ika Paramitha, Luckyta Citra Ayu Ridlo, Zainur Rasyid Rizka Dwi Hidayati Robiatul Adawiyah Robiatul Adawiyah Romarizka, Cyndy Sholiha, Aminatus T C P Utama Tika Clarinta Putri Utama Wilujeng, Dian Tri Yeni Rismawati Yuliani Setia Dewi Zainur Rasyid Ridlo