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Model Matematika Penyakit Kolera Melalui Kontak Antar Individu, Sumber Air, dan Lalat Muhammad Manaqib; Fauziah Irma; Bagus Fajar Apriyanto
Vygotsky : Jurnal Pendidikan Matematika dan Matematika Vol 4, No 2 (2022): Vygotsky: Jurnal Pendidikan Matematika dan Matematika
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (457.02 KB) | DOI: 10.30736/voj.v4i2.539

Abstract

Penelitian ini mengembangkan model matematika penyebaran penyakit kolera menggunakan model SIWR yang ditambahkan dengan vektor lalat. Berdasarkan model matematika tersebut, dicari titik kestimbangan bebas penyakit, titik kestimbangan endemik, dan bilangan reproduksi dasar (R0). Hasil analisis kestabilan titik kestimbangan bebas penyakit diperoleh bersifat stabil asimtotik lokal saat R0<1. Simulasi model dilakukan dengan nilai-nilai parameter yang diambil dari beberapa jurnal dan mengambil kasus di Haiti. Hasilnya penyakit kolera di Haiti dalam waktu mendatang akan menghilang.Selanjutnya dilakukan analisis sensitivitas parameter-parameter model terhadap R0, hasilnya terdapat dua parameter yang dominan berpengaruh terhadap penyebaran penyakit kolera yakni  laju kontak infektif individu rentan dengan individu terinfeksi  dan  tingkat kesembuhan individu dari penyakit kolera.
MODEL MATEMATIKA TRANSMISI HUMAN PAPILLOMAVIRUS (HPV) PADA PENYAKIT KANKER SERVIKS Muhammad Manaqib; Irma Fauziah; Wahyu Triwulan Asih
Jurnal Matematika UNAND Vol 11, No 4 (2022)
Publisher : Jurusan Matematika FMIPA Universitas Andalas Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jmua.11.4.230-245.2022

Abstract

Penelitian ini menggunakan model SVICTR untuk memodelkan transmisiHuman Papillomavirus (HPV) pada penyakit kanker serviks. Populasi dibagi menjadienam subpopulasi yaitu subpopulasi rentan, subpopulasi yang melakukan vaksinasiHPV dengan vaksin paling efektif, subpopulasi terinfeksi virus HPV, subpopulasi pengidap kanker serviks, subpopulasi yang melakukan treatment kanker serviks, dan subpopulasi removed. Dari model yang dibentuk diperoleh dua titik ekuilibrium yaitu titik ekuilibrium bebas penyakit dan titik ekulibrium endemik serta bilangan reproduksi dasar (R0). Titik ekuilibrium bebas penyakit stabil asimtotik lokal saat R0 < 1. Simulasi numerik titik ekuilibrium bebas penyakit dilakukan untuk memberikan gambaran geometris terkait hasil yang telah dianalisis dengan nilai parameter yang diambil dari beberapa sumber. Hasil analisis numerik sesuai dengan analisis yang dilakukan bahwa penyakit akan menghilang jika R0 < 1 dan menetap dalam populasi jika R0 > 1. Berdasarakan analisis sensitivitas, parameter yang paling berpengaruh adalah laju kontak dengan individuterinfeksi dan laju individu yang divaksinasi HPV
Operator Solusi Model Fluida Termampatkan Tipe Korteweg Dengan Kondisi Batas Slip di Half-Space Kasus Koefisien ((μ + ν)/(2 κ))^2 -(1/κ) > 0, κ =μ ν , μ≠ν Suma Inna; Irma Fauziah; Muhammad Manaqib; Priska Maya Putri
Limits: Journal of Mathematics and Its Applications Vol 20, No 2 (2023)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/limits.v20i2.12954

Abstract

Artikel ini membahas model fluida termampatkan tipe Korteweg dengan kondisi batas slip di half space space ( . Model ini biasanya digunakan untuk mendeskripsikan aliran fluida dua fase di mana terdapat fase transisi pada antarmuka fase tersebut yang dikenal dengan efek kapiler. Untuk mengatasi efek kapiler tersebut, Korteweg mengembangkan model Navier-Stokes dengan menambahkan unsur kapilaritas pada persamaan Navier-Stokes. Dalam artikel ini ditunjukkan bahwa terdapat solusi pada model Navier-Stokes tipe Korteweg untuk kasus di mana koefisien  ((μ + ν)/(2 κ))^2 -(1/κ) > 0, κ =μ ν dengan μ≠ν. Kasus koefisien ini muncul berdasarkan kondisi akar persamaan karakteristik dari model yang dibahas dalam artikel ini.
Trend analysis of Islamic educational institutions on Indonesian social media in 2018–2023 Alfina Nur Safitri; Taufik Edy Sutanto; Irma Fauziah
Jurnal Mantik Vol. 7 No. 3 (2023): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i3.4372

Abstract

Social media is a valuable means for educational institutions to engage with the wider community. However, it is necessary to understand more deeply how these trends develop in the realm of social media. This study aims to scrutinize the patterns of Islamic education institutions in Indonesia. Islamic Religious Universities (PTKI), Madrasah, and Pesantren were researched through the Google search engine and Google Trends to collect data from social media content and search queries. The social media platforms analyzed were Facebook, Instagram, Twitter, TikTok, and YouTube. An analysis of social media content was conducted to identify trends associated with Islamic education institutions. Additionally, the study employed Google Trends data to compare the available content and gain an empirical depiction of public interest in related subjects. The findings demonstrate that YouTube has a higher availability of content pertaining to “PTKI” (42.6%), while Facebook has a higher availability of content on “pesantren” (57.1%) and “madrasah” (51.6%). The correlation of content data with search data shows a weak correlation, so there is no empirical evidence that increasing content availability affects interest in content search. This research is significant in revealing the extent to which social media content reflects people's interests
Urgensi Pembentukan Karakter Religius Peserta Didik melalui Pembelajaran Al-Qurân Hadits di Madrasah Ibtidaiyah Fauziah, Irma
Tarbiyatuna: Jurnal Pendidikan Ilmiah Vol. 8 No. 1 (2023): Januari-Juni
Publisher : Sekolah Tinggi Ilmu Tarbiyah Ibnu Sina Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55187/tarjpi.v8i1.5312

Abstract

This research is motivated by the fact that the decadence of the religious character of today's children does not reflect the nation's successors who are good and have good character. The purpose of this research is to describe the urgency of learning Al-Quran Hadith in forming religious character, methods of forming character as well as supporting and inhibiting factors in learning Quran Hadith at Madrasah Ibtidaiyah level. The method used in this research is the library research method. The data were obtained from books and scientific articles from the internet that were relevant to the research discussion. The data search method uses the Publish or Perish application to access data collections and sources of information from journals from the Crossref and Google Scholar databases by inputting the keywords "Character Building" and "Learning Al Quran Hadith Madrasah Ibtidaiyah". The data analysis technique was carried out using the Miles and Huberman stages. The results showed: 1) Al-Quran Hadith learning is important for the formation of the religious character of students, 2) Supporting factors for the formation of religious character include the support of parents, teachers and the community, as well as the existence of adequate facilities. While the inhibiting factors are innate character, family upbringing and non-educational environment. 3) The method of forming religious character through learning Al Quran hadith can be done by example and habituation, as well as fun learning methods.
PENGEMBANGAN MUTU PENGELOLAAN PROGRAM STUDI BERBASIS MONITORING ANALYTIC TOOLS Inna, Suma; Fauziah, Irma; Santoso, Ary
Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 14 No 2 (2022): Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP)
Publisher : Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2022.14.2.5740

Abstract

ABSTRACT. This paper discusses Monitoring Analytics Tools (MAT) to analyze the management quality of the Mathematics Study Program Faculty of Science and Technology UIN Syarif Hidayatullah Jakarta. Study program management based on Monitoring Analytics Tools (MAT) is one of strategy for building a study program management system based on data-driven and automated analytics. This method is handy in improving the quality of study programs so that they are more measurable, targeted, effective, and efficient in providing excellent services and developments. Monitoring Analytics Tools (MAT) in this study focused on two management quality developments of the study program, namely Monitoring Analytics Tools (MAT) for Lecturer Quality Development in the Learning Process through a Lecturer Evaluation Survey by Students and Monitoring Analytics Tools (MAT) for the Graduate Development through Graduate User Surveys. The results show that the responsiveness dimension (punctuality in learning activities) has the lowest satisfaction index for Lecturer Quality Development. Meanwhile, for the quality of graduates, the dimensions of specific skills (presentation and writing report skills) are the lowest satisfaction index.Keywords: Monitoring Analytic Tools, Quality of Services, Service Satisfaction Survey ABSTRAK. Pengelolaan program studi berbasis Monitoring Analytics Tools (MAT) merupakan salah satu upaya membangun sistem pengelolaan program studi berbasis data driven dan otomation analytics guna menjalankan pelayanan dan pengembangan mutu program studi yang lebih terukur, tepat sasaran, efektif dan efesien. Atas kebutuhan yang sangat tinggi untuk meningkatkan mutu Program Studi dalam rangka mengejar akreditasi Program Studi Matematika menjadi unggul, maka menguji dan mengembangkan Monitoring Analytics Tools pada Program Studi Matematika FST UIN Syarif Hidayatullah sangat diperlukan. Oleh karena itu tujuan dari penelitian ini adalah mengembangkan Monitoring Analytics Tools merupakan suatu proses kompleks yang saling terkait guna menghasilkan MAT yang handal. Monitoring Analytics Tools (MAT) pada penelitian ini difokuskan pada dua pengembangan Mutu Program Studi yaitu Monitoring Analytics Tools (MAT) Pengembangan Mutu Dosen dalam Proses Pembelajaran melalui survey Evaluasi Dosen Oleh Mahasiswa dan Monitoring Analytics Tools (MAT) Pengembangan Lulusan melalui Survei Pengguna Lulusan. Hasil pembahasan menunjukkan bahwa dimensi responsieness (ketepatan waktu dalam menjalankan aktivitas pembelajaran) menunjukkan indeks kepuasan paling rendah. Sementara untuk mutu lulusan, dimensi keterampilan khusus menunjukkan indeks kepuasan pengguna lulusan rendah, yaitu kemampuan presentasi para lulusan dan kemampuan menulis laporan.Kata Kunci: Monitoring Analytic Tools, Mutu Layanan, Surver Kepuasan Layanan
Pemodelan kasus tingkat kemiskinan di Indonesia periode 2015-2021 dengan model regresi panel terboboti geografis Kurnia, Hafsah; Fauziah, Irma; Wijaya, Madona Yunita
Majalah Ilmiah Matematika dan Statistika Vol. 24 No. 2 (2024): Majalah Ilmiah Matematika dan Statistika
Publisher : Jurusan Matematika FMIPA Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/mims.v24i2.39392

Abstract

Poverty is a major concern of the Indonesian government and the government's efforts to reduce poverty are a national development priority. Therefore, it is interesting to identify the factors that influence poverty in Indonesia. Considering a spatial perspective, Geographically Weighted Panel Regression (GWPR) method is applied to the panel data set of 34 Indonesia provinces over the period 2016-2021. The best fitted model is found when using the adaptive kernel weighting function with poverty rate, length of schooling, provincial minimum wave, human development index, literacy rate, and unemployment rate as the predictor variables. The result suggests that provinces in Indonesia can be divided into seven groups based on significant predictors on poverty rate. The fixed effect GWPR model is the final model selected for the data which can explain about 75.64% of the variability in poverty rate in Indonesia. Keywords: Fixed effect model, Geographically Weighted Panel Regression, Adaptive kernel. MSC2020: 62P25.
IMPLEMENTASI ALGORITMA CNN MOBILENET UNTUK KLASIFIKASI GAMBAR SAMPAH DI BANK SAMPAH Fahcruroji, Achmad Reza; Madona Yunita Wijaya; Irma Fauziah
PROSISKO: Jurnal Pengembangan Riset dan Observasi Sistem Komputer Vol. 11 No. 1 (2024): Prosisko Vol. 11 No. 1 Maret 2024
Publisher : Pogram Studi Sistem Komputer Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/prosisko.v11i1.8101

Abstract

Waste is a global problem that must be resolved so that the environment is well maintained, especially in developing countries such as Indonesia. A good understanding of waste will have an impact on optimal waste management. Waste banks are one way out in waste management so that what was originally useless becomes marketable. In its implementation, the waste bank must have data collection and transparency of customer waste data in real time. Technology is one of the main solutions to produce digital products that make it easier for people to access information accurately. By using the Convolutional Neural Network (CNN) algorithm, an image of image data can be predicted with good accuracy. Along with the development of technology today, various kinds of architectures are present, one of which is Mobilenet. This architecture has the ability to run machine learning models on mobile and IoT devices. Furthermore, the resulting model is quite good with an accuracy rate of 96% on Metal waste, 92% on Paper and Organic waste, 80% on Cardboard waste, 76% on Glass waste, and 72% on Plastic waste. The disadvantages that exist in this model when predicting with almost similar shapes and images that have many objects in them, the error will be greater so there is a possibility of error in predicting the results of the garbage image.
Model Matematika Penyebaran Penyakit COVID-19 dengan Vaksinasi, Isolasi Mandiri, dan Karantina Rumah Sakit Fauziah, Irma; Manaqib, Muhammad; Azizah, Maghvirotul
Jurnal Matematika Integratif Vol 20, No 2: Oktober 2024
Publisher : Department of Matematics, Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jmi.v20.n2.49640.135-148

Abstract

Penelitian ini mengembangkan model SEIR untuk memodelkan penyebaran penyakit COVID-19 dengan menambahkan faktor penggunaan vaksinasi, isolasi mandiri, dan karantina di rumah sakit. Populasi dibagi menjadi tujuh subpopulasi yaitu subpopulasi rentan, subpopulasi yang telah melakukan vaksinasi dua tahap, subpopulasi laten, subpopulasi terinfeksi, subpopulasi karantina yaitu isolasi mandiri dan karantina di rumah sakit, dan subpopulasi sembuh. Dari model matematika yang dibentuk diperoleh dua titik ekuilibrium yaitu titik ekuilibrium bebas penyakit dan titik ekuilibrium endemik dan bilangan reproduksi dasar . Titik ekuilibrium bebas penyakit stabil asimtotik lokal ketika . Simulasi numerik titik ekuilibrium bebas penyakit dilakukan untuk memberikan gambaran geometris terkait hasil yang telah dianalisis dengan nilai parameter yang diambil dari beberapa sumber. Hasil simulasi numerik sejalan dengan analisis yang dilakukan bahwa penyakit akan menghilang jika dan menetap dalam populasi jika . Dari analisis model diperoleh bahwa upaya yang dapat dilakukan agar penyakit tidak mewabah yaitu mengurangi kontak langsung dengan individu terinfeksi, selalu menjaga kebersihan, melakukan isolasi mandiri atau karantina di rumah sakit dan selalu menjaga jarak.
Tabarru’ Fund Sharia Insurance Using The 2019 Mortality Table, Mortality Law and Cost of Insurance Method Wulandari, Fitria Sisca; Fauziah, Irma; Fitriyati, Nina
Mathline : Jurnal Matematika dan Pendidikan Matematika Vol. 8 No. 4 (2023): Mathline: Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/mathline.v8i4.542

Abstract

The sharia life insurance program has two ways of managing funds, namely involving a savings element and not involving a savings element. Programs that do not involve a savings element do not have a clear division of tabarru’ funds that must be paid participant so it is the company's job to calculate it . In calculating the percentage of tabarru' funds used method Cost of Insurance (COI) . The COI method is method for calculating tabarru’ funds  with using several parameters, namely mortality tables , investment value , management fees and discount factors . In this research, we will discuss how to obtain tabarru' funds using the 2019 Indonesian mortality table and the 2019 Indonesian mortality table with the Gompertz mortality law, Makeham mortality law and De Moivre mortality law. with method Cost of Insurance . Based on the case illustration, the results show that the tabarru' funds that must be paid by participants are directly proportional to the participant's age, management fees and insurance money, but inversely proportional to the investment value. Tabarru' funds will be greater if using the De Moivre mortality table so this can be a consideration for the company while the Makeham mortality table can be a consideration for participants.