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All Journal Media Statistika MATEMATIKA Statistika Kreano, Jurnal Matematika Kreatif-Inovatif Jurnal TIMES BAREKENG: Jurnal Ilmu Matematika dan Terapan Building of Informatics, Technology and Science Jurnal Informatika dan Rekayasa Elektronik Infokes : Jurnal Ilmiah Rekam Medis dan Informasi Kesehatan Bulletin of Applied Mathematics and Mathematics Education JNPM (Jurnal Nasional Pendidikan Matematika) STATISTIKA Emerging Statistics and Data Science Journal
Rohmatul Fajriyah
Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Islam Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Health Professions Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Transportation Veterinary

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Sinergi Metode Student Team Achievement Division (STAD) dan Tutorial pada Mata Kuliah Kalkulus I Fauzan, Achmad; Dini, Sekti Kartika; Fajriyah, Rohmatul
Kreano, Jurnal Matematika Kreatif-Inovatif Vol 10, No 1 (2019): Kreano, Jurnal Matematika Kreatif-Inovatif
Publisher : Jurusan Matematika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Negeri Sema

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/kreano.v10i1.18214

Abstract

Penelitian ini bertujuan untuk mengetahui proses dan hasil dari penggunaan metode Student Team Achievement Division (STAD) dan tutorial berdasarkan hasil belajar serta tingkat kepuasan mahasiswa pada mata kuliah Kalkulus 1. Pengambilan data diperoleh dengan metode tes melalui ujian kompetensi (UK), UTS, dan UAS. Hasil belajar tersebut dianalisis menggunakan uji Kruskall Wallis dan post hoc test untuk mengetahui perbedaan rata-rata yang signifikan diantara sampel yang diambil. Sementara tingkat kepuasan dianalisis menggunakan text mining dari kuesioner yang diberikan berdasarkan barplot dan wordcloud yang diasosiasikan dengan kata yang dominan muncul serta evaluasi keseluruhan dari tingkat kepuasan dan saran yang diberikan. Berdasarkan hasil belajar, diperoleh nilai rata-rata kelas eksperimen lebih tinggi dibanding kelas kontrol. Sementara dari tingkat kepuasan masuk dalam kategori puas hingga sangat puas. Lebih jauh metode ini dapat digunakan sebagai alternatif metode pembelajaran untuk matakuliah lain yang khususnya berkaitan dengan konseptual.The purpose of this study is finding out how the processes and results of using the Student Team Achievement Division (STAD) and tutorial methods based on the learning outcomes and the student’s satisfaction level at Calculus 1 class. Data are provided through the competency tests (UK), mid term exam (UTS), and final exam (UAS). The learning outcomes is analyzed using the Kruskall Wallis test and the post hoc test to find out the significant differences in the samples average. The satisfaction level is analyzed by a text mining technique: barplot and wordcloud associated to other dominant words as well as the overall evaluation of the students’s satisfaction level and their suggestion. The learning outcomes analysis shows that the average exam scores of the experimental class is higher than the control class. Mean while the students’ satisfaction level is categorized as satisfied at both of the STAD and tutorial methods. Furthermore this method can be used as an alternative learning method in other subjects which are considered as conceptually heavy.
ESTIMASI PARAMETER MODEL TAHAP AWAL AR(1) REGRESI RESPON BINER LONGITUDINAL Fajriyah, Rohmatul; subanar, subanar
MATEMATIKA Vol 5, No 3 (2002): Jurnal Matematika
Publisher : MATEMATIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (63.202 KB)

Abstract

Data yang diperoleh dari hasil pengukuran berulang pada subyek tertentu, biasanya akan berkorelasi. Pada regresi respon biner, jika digunakan model autoregressif order -, AR(1), maka diperlukan pengetahuan tentang  outcome sebelumnya, , yang tak terobservasi. Model untuk menginferensi data dengan model AR(1), diantaranya adalah model AR(1) kondisional. Pada model ini, nilai  diambil sembarang, yaitu   atau . Model di atas akan dibahas dan dibandingkan hasil estimasinya melalui studi simulasi
ANALISA VISUAL MENGGUNAKAN ETETOOLKIT FRAMEWORK TERHADAP PENYAKIT BETA-THALASSEMIA DI JAWA TENGAH BAGIAN SELATAN Lalu Mutawalli; Moh Reza Syaifur Rizal; Wayan Tunas Artama; Rohmatul Fajriyah; Izzati Muhimmah; Lantip Rujito
Jurnal Informatika dan Rekayasa Elektronik Vol. 2 No. 1 (2019): JIRE April 2019
Publisher : LPPM STMIK Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36595/jire.v2i1.75

Abstract

Deteksi peristiwa biomolekuler dalam visual yang akan dianalisis menggunakan komputasi untuk mendeteksi efektivitas dan akurasi penyakit. Sebagai hasil utama, banyak analisis visual, mulai dari pengelompokan gen hingga filogenetik, menghasilkan pohon hierarkis. Toolkit Lingkungan Eksplorasi Pohon (ETE) yang membantu manipulasi, analisis, dan visualisasi pohon hierarkis otomatis. Kemudian, dalam makalah ini, daftar mutasi β-thalassemia yang merupakan kelompok kelainan darah herediter yang ditandai oleh anomali dalam sintesis rantai beta hemoglobin yang menghasilkan berbagai fenotipe mulai dari anemia berat hingga individu tanpa gejala klinis. Hasil ini adalah ETEToolkit dapat menguraikan mutasi ini untuk ditampilkan melalui pohon dan penyelarasan dalam satu bingkai, kemudian kita dapat menyesuaikan dan merender ke dalam gambar PDF. Mutasi ini berlokasi di pusat Jawa, Indonesia.
Estimasi Parameter dan Inferensi pada Rancangan Blok Tak Lengkap Rohmatul Fajriyah
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 5, No 2 (2005)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v5i2.923

Abstract

Rancangan blok random lengkap memuat perlakuan yang diuji dalam blok dan setiap blokterdiri dari tepat satu observasi pada setiap perlakuan. Kemudian karena variasi antara plot dalamblok yang sama lebih kecil daripada variasi antara plot dalam plot yang berbeda, maka diperolehpenambahan ketepatan dari perbandingan varitas dengan kemampuan untuk mengeliminasiperbedaan blok. Masalah yang timbul adalah ketika blok-blok yang tersedia tidak cukup besar untukmenampung satu plot dengan setiap varitas. Hasil studi literatur menunjukkan estimasi parameterdan inferensi (melalui tabel anava) untuk beberapa rancangan blok random tak lengkap
Sistem Informasi Berbasis Analisis Persepsi, Pengetahuan, dan Praktik Kesehatan Gigi Pada Anak-Anak Sekolah Dasar Aditya Ferdiana Arief; Rohmatul Fajriyah; Punik Mumpuni Wijayanti
Jurnal Infokes Vol 11 No 2 (2021): Jurnal Ilmiah Rekam Medis dan Informatika Kesehatan
Publisher : Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/infokes.v11i2.1293

Abstract

The variety of cases of dental health that occur in elementary school children makes it difficult to quickly identify the factors that most influence dental health. To find out the dental health factors, a system that is able to provide a visual representation of the results of statistical analysis is needed based on the factors that affect oral health in elementary school children. Health information system analysis is mostly done through statistical data analysis. A total of 54 students were included in this study to determine the characteristics, factors that affect dental health, and the implementation of the application in the form of a prototype. The results showed that there was a significant relationship between children's perceptions and their knowledge of dental health and children's perceptions of dental health behavior. Furthermore, guidance and examples from parents play an important role in improving children's behavior regarding dental health. The t-test shows that male students get more examples and attention from their parents regarding dental health. Meanwhile, female students are more concerned with practicing matters related to dental health. The mobile application provides information on children's dental health statistics for schools and health centers. In addition, the application can also provide an overview of dental health in children.
Development of Calculus Learning Videos as Learning Mitigation Efforts During Covid-19 Pandemic Achmad Fauzan; Sekti Kartika Dini; Rohmatul Fajriyah; Novendri Isra Asriny; Sheilta Alphenia; Riefyal Arshyzha Mustain
JNPM (Jurnal Nasional Pendidikan Matematika) Vol 6, No 4 (2022)
Publisher : Universitas Swadaya Gunung Djati

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (772.389 KB) | DOI: 10.33603/jnpm.v6i4.7160

Abstract

This research is focused on learning media in the form of asynchronous videos as a learning mitigation effort during the Covid-19 pandemic for Calculus 1 subject. The objectives of this study were tevaluate the learning media provided during the Covid-19 pandemic. The data sources used are primary data from Final Exam (FE) scores before the pandemic (academic year 2018/2019 and 2019/2020) and during the pandemic (academic year 2020/2021), as well as questionnaires distributed to students. The analytical methods used are Kruskal Wallis test, Mann-Whitney test, Importance-performance analysis (IPA), and text mining. The results showed that there were differences in FE scores for each academic year. The highest average and median scores of FE are in the 2020/2021 academic year. This shows that the online learning method through videos in the Calculus I subject for the 2020/2021 academic year has succeeded in increasing scores of FE student. Based on the results of IPA, the average value of the Customer Satisfaction Index (CSI) is 97.97%, with details of 50% on priority achievement, 33.33% on top priority, and 16.67% on low priority. The results of text mining related to learning media show that the videos provided are easy to understand, interesting, and clear in explaining the material.
Analisis Sentimen Ulasan Pengguna E-commerce di Google Play Store Menggunakan Metode IndoBERT Pradhisa, Kireyna Cindy; Fajriyah, Rohmatul
Building of Informatics, Technology and Science (BITS) Vol 6 No 1 (2024): June 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i1.5247

Abstract

In today's booming digital age, the internet has created global connectivity that links individuals around the world in a global community. Through synergistic collaboration between commerce and information technology, the term e-commerce was born. The analysis of e-commerce product quality is conducted to understand the public's perception of the products offered through the e-commerce platform, which can be accessed through the Google Play Store. The purpose of this research is to find out the sentiment trends of e-commerce users and to know how accurate IndoBERT is in classifying sentiment. By doing so, the founders and managers of both platforms can gain a better understanding of their users' needs and preferences. This information will serve as a foundation for improving service quality and user experience, thereby increasing customer satisfaction and strengthening competitive position in the e-commerce market. In this study, a sentiment analysis of the products of e-commerce platforms Shopee and Bukalapak is conducted, using the NLP-based IndoBERT (Natural Language Processing) model, which classifies the sentiment of user reviews into three categories: negative, neutral, and positive. The review data was taken from Google Play Store with scrapping technique and involved 5000 Shopee and Bukalapak review data with 2500 data each in 2023. The accuracy obtained is 89.84% on Shopee review data and 88.12% on Bukalapak review data. This shows that the model is able to effectively identify sentiment in each user review. Furthermore, another result obtained is that the sentiment of Shopee and Bukalapak e-commerce application users tends to be positive. Therefore, it can be said that the products offered and services carried out by e-commerce platforms Shopee and Bukalapak in 2023 get a good response from the public, which shows that both platforms are trusted and favored by the public.
IDEKTIFIKASI GEN MARKER PBMCS ISCHEMIC STROKE MENGGUNAKAN ANALISIS BIOINFORMATIKA DAN SUPPORT VECTOR MACHINE Azhari, M Fauzan; Fajriyah, Rohmatul
Jurnal TIMES Vol 13 No 1 (2024): Jurnal TIMES
Publisher : STMIK TIME

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51351/jtm.13.1.2024746

Abstract

Penyakit stroke adalah kondisi ketika aliran darah ke otak terhambat atau terputus, mengakibatkan kerusakan pada sel-sel otak. Diperkirakan ada 50 juta kasus stroke di seluruh dunia, dengan 9 juta di antaranya mengakibatkan kecacatan berat. Penelitian ini bertujuan untuk melakukan klasifikasi dan melihat genomic profiling antara penderita stroke iskemik kontrol dan non kontrol dengan analisis support vector machine (SVM). Data yang digunakan adalah data microarray dengan kode series GSE22255 dari Institut Kedokteran Molekuler di kota Lisbon, Portugal. Untuk melihat perbandingan akurasi yang dihasilkan, analisis dilakukan dengan beberapa skema berdasarkan kernel dan nilai cost optimal pada metode SVM yaitu kernel linier, polinomial, RBF dna sigmoid. Dari hasil analisis diketahui bahwa metode SVM dengan skema kernel terbaik yaitu menggunakan kernel RBF dan optimal cost 1 dengan nilai akurasi sebesar 88.0%, Model SVM dengan kernel sigmoid tidak dapat digunakan untuk klasifikasi karena nilai akurasinya yang sangat rendah. Sementara itu, SVM dengan kernel linear dan polynomial masih tetap dapat digunakan karena nilai akurasinya >70% .
Identifying malaria disease through red-blood microscopic image with XGBoost and random forest methods Fajriyah, Rohmatul; Muhajir, Muhammad; Abdullah, Ahmad Hussain; Ayu, Devina Gilar; Rahman, Iqbal Fathur
Bulletin of Applied Mathematics and Mathematics Education Vol. 4 No. 2 (2024)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/bamme.v4i2.11740

Abstract

Blood cells that flow in the human body provide information to diagnose a disease. The information provided can be obtained through images of these blood cells using image processing techniques. Malaria is a very deadly disease and can affect everyone. Patients with malaria will experience anaemia because the red blood cells or erythrocytes are contaminated with plasmodium. This study offers an alternative solution to malaria disease identification through the image classification of red blood cells, by applying image processing and image classification methods with XGBoost and random forest. The research was conducted using the R programming language in RStudio and Python. The accuracy of XGBoost and random forest methods were 71.26% and 77.58%, respectively. Therefore, the random forest provided a better optimal classification model with higher accuracy. The model is used to build an application which is R web-based, RShiny. In practice, this application can be used by health workers in classifying patients based on red blood cell images such that the health centre would be easier to manage the existing patients.
Aplikasi K-Medoid dalam Regenerasi Pemain Sepak Bola Akbar, Wahyu Sa'dun; Yotenka, Rahmadi; Fajriyah, Rohmatul
Statistika Vol. 24 No. 2 (2024): Statistika
Publisher : Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Islam Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/statistika.v24i2.4611

Abstract

ABSTRAK Sepakbola merupakan olahraga paling populer. Dalam permainan sepakbola, peran gelandang sangat penting sehingga setiap klub sepakbola terutama di Liga-Liga top Eropa perlu meregenerasi gelandang untuk kompetisi Liga di musim-musim berikutnya. Penelitian ini bertujuan untuk melakukan pencarian pemain tengah pengganti yang memiliki kesamaan karakteristik bermain menggunakan metode K-Medoid Clustering. Metode Principal Component Analysis diimplementasikan untuk mengatasi multikolinieritas dan untuk mereduksi variabel yang digunakan, sehingga didapatkan 2 komponen utama. Kedua komponen utama ini menjelaskan 72.9% variansi populasi yang ada. K-Medoid Clustering menghasilkan 2 kelompok dan berdasarkan pengukuran jarak dengan metode Euclidean didapatkan bahwa Tchouameni merupakan gelandang yang paling mirip dengan Casemiro. Hasil ini mendukung keputusan Real Madrid untuk membeli Tchouameni sebagai keputusan yang tepat. ABSTRACT Football is the most popular sport. In the game of football, the role of midfielders is very important so that every football club, especially in the top European leagues, needs to regenerate midfielders for league competitions in the following seasons. This research aims to search for substitute midfielders who have similar playing characteristics using the K-Medoid Clustering method. The Principal Component Analysis method was implemented to overcome multicollinearity and to reduce the variables used, so that 2 main components were obtained. These two main components explain 72.9% of the population variance. K-Medoid Clustering produced 2 groups and based on distance measurements using the Euclidean method it was found that Tchouameni was the midfielder most similar to Casemiro. These results support Real Madrid's decision to buy Tchouameni as the right decision.
Co-Authors Abdullah, Ahmad Hussain ACHMAD FAUZAN Adhar Arifuddin Aditya Ferdiana Arief Akbar, Wahyu Sa'dun Ayu, Devina Gilar Ayudhaya, Wanvisa Saisanan Na Azhari, M Fauzan Bimakasa, M Albarra Danarwindu, Ghiffari Ahnaf Dini, Sekti Kartika Gunawan, Asmawi Isnandar, Havidzah Asri Izzati Muhimmah Kongchouy, Noodchanath Lalu Mutawalli Lantip Rujito Moh Reza Syaifur Rizal Muhammad Muhajir, Muhammad Nanda Khofifah, Thalia Novendri Isra Asriny Pradhisa, Kireyna Cindy Punik Mumpuni Wijayanti Rahman, Iqbal Fathur Riefyal Arshyzha Mustain Sekti Kartika Dini Sheilta Alphenia Subanar . Untari, Siti Nirmala Wayan Tunas Artama Yotenka, Rahmadi