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ANALYSIS AND SIMULATION OF THE SIR MODEL ON THE SPREAD OF COVID-19 BY CONSIDERING THE VACCINATION FACTOR Dewi, Atika Ratna; Ananda, Ridho; Rifanti, Utti Marina; Anggraeni, Nadia Putri; Ardian, Miko
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/barekengvol18iss1pp0303-0312

Abstract

Covid-19 is a serious respiratory disease that can be fatal for those affected. Governments have tried various strategies to conquer the Covid-19 pandemic. One of them is to vaccinate people with 6 years old and over. The vaccination program aims to form herd immunity so that the number of confirmed positive cases can be reduced. The purpose of this research is to form a mathematical model of the SIR (Susceptible-Infected-Recovery) spread of Covid-19 by considering vaccination factors. The SIR model is combined with a vaccination factor to forestall the unfold of Covid-19. The research method includes deriving models of nonlinear differential equation systems, solving qualitative models, deriving the basic reproduction ratio ( ), analysis of equilibrium points, and building simulation models. This model has an asymptotically stable disease-free equilibrium point. At the same time, the endemic equilibrium point is unstable. Model simulation is obtained by using different parameter values. This is proven through the outcomes of the model analysis vaccination coverage is a key parameter that can be controlled to reduce so that the pandemic ends soon.
PELATIHAN PENGGUNAAN MICROSITE UNTUK GURU SMK POLITEKNIK YP3I BANYUMAS Yuniati, Trihastuti; Dewi, Atika Ratna; Prasetyo, Novian Adi; Saputra, Wahyu Andi
JUPADAI : Jurnal Pengabdian Kepada Masyarakat Vol. 3 No. 1 (2024): Volume 3 Nomor 1 2024
Publisher : Asosiasi Dosen Akutansi Indonesia, KEPRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64795/jupadai.v3i1.138

Abstract

SMK YP3I Banyumas sebagai bentuk komitmen untuk meningkatkan kualitas pendidikan dan wujud implementasi digitalisasi pendidikan, mewajibkan setiap guru untuk memiliki akun microsite, selain sebagai branding juga untuk memudahkan dalam penyampaian bahan pembelajaran. Namun sebagian besar guru di SMK YP3I Banyumas tidak memahami bagaimana cara membuat akun microsite dan pemanfaatannya. Oleh karena itu, tim dosen dan mahasiswa ITTP mengadakan pelatihan pembuatan microsite kepada 26 guru di SMK Politeknik YP3I Banyumas. Pada pelatihan tersebut, peserta diperkenalkan dengan teknologi microsite, fitur yang dimiliki, serta langkah pembuatannya. Peserta juga didampingi dalam pembuatan akun microsite, serta bagaimana menyematkan tautan dokumen materi, kuis, atau penugasan dari Google Docs dan Google Form. Hasil kuesioner menunjukkan 73,7% peserta merasa puas dan pelatihan yang diselenggarakan sesuai dengan harapan, 78,9% peserta menyatakan bahwa pelatihan yang diberikan sesuai dengan kebutuhan, menambah pengetahuan, dan adanya tindak lanjut yang baik terhadap permasalahan yang dihadapi peserta, serta 68,4% peserta menyatakan bahwa pelatihan ini menambah keterampilan, memberikan dampak perubahan pada diri peserta, dan berharap adanya pelatihan lanjutan. Hasil dari pelatihan ini setiap guru memiliki akun microsite masing-masing, sehingga kinerja guru semakin meningkat, yang nantinya dapat berdampak terhadap kepuasan masyarakat selaku pengguna jasa pendidikan yang semakin meningkat.
Peningkatan Kapasitas Penjualan Pada Kader Pemberdayaan Masyarakat Desa Melalui Pelatihan Pemasaran Digital Athiyah, Ummi; Alika, Shintia Dwi; Dewi, Atika Ratna; Habiburrahman, Muhammad Quthb; Sa’adah, Oktavia Jazilatus; Arif Wirawan Muhammad
Madani : Indonesian Journal of Civil Society Vol. 6 No. 2 (2024): Madani : Agustus 2024
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/madani.v6i2.2193

Abstract

Empowering rural communities is essential for sustainable development, especially in the economic sector. This community service program aims to increase the sales capacity of the Sunyalangu Village Community Empowerment Cadres (KPMD) through digital marketing training. The main problems include simple packaging, conventional marketing methods, and poor business management practices. This program uses a community service method, Service Learning (SL), which involves practical steps such as product packaging training and digital marketing strategy workshops. This project significantly improved participants' skills in using sealer machines and promoting products online, especially on platforms like Shopee. The method of implementing strategic digital marketing communication training was carried out with a structured and interactive approach over two meetings. The results showed the importance of digital literacy in rural areas to achieve maximum business potential and improve economic sustainability. This training has successfully introduced participants to the world of online trading and provided them with practical skills in utilizing digital platforms to market processed products from the community.
PENGEMBANGAN PROFESIONAL PKG PAUD KECAMATAN BALAPULANG DENGAN INOVASI PEMBELAJARAN BERBASIS TEKNOLOGI INFORMASI Athiyah, Ummi; Dewi, Atika Ratna; Alika, Shintia Dwi; Yuniati, Trihastuti
MADANI: Jurnal Pengabdian Kepada Masyarakat Vol 11 No 1 (2025): MADANI: Jurnal Pengabdian Kepada Masyarakat (In Press)
Publisher : LPPM UPN Veteran Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53834/mdn.v11i1.10680

Abstract

Pendidikan anak usia dini (PAUD) merupakan salah satu program prioritas pemerintah dalam membangun fondasi pendidikan yang kuat bagi anak-anak prasekolah. Salah satu faktor utama dalam peningkatan kualitas PAUD adalah pengembangan profesionalisme guru, khususnya dalam literasi digital. Namun, masih banyak guru PAUD yang menghadapi kendala dalam pemanfaatan teknologi informasi dalam pembelajaran. Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan literasi digital guru PAUD di Kecamatan Balapulang melalui pelatihan pemanfaatan microsite dan wordwall sebagai media pembelajaran interaktif. Pelatihan ini dirancang untuk membekali guru dengan keterampilan membuat bahan ajar yang interaktif menggunakan wordwall dan mengelola microsite sebagai pusat distribusi materi ajar. Evaluasi kegiatan dilakukan melalui kuesioner dengan skala Likert (1–5), yang menunjukkan tingkat kepuasan tinggi di antara peserta, dengan skor rata-rata 4,3–4,7 pada berbagai aspek kepuasan dan manfaat pelatihan. Hasil kegiatan menunjukkan adanya peningkatan keterampilan guru dalam memanfaatkan teknologi informasi serta peningkatan interaktivitas dalam proses pembelajaran. Dengan adanya pelatihan ini, guru-guru PAUD menjadi lebih percaya diri dalam mengintegrasikan teknologi dalam pembelajaran, sehingga dapat meningkatkan motivasi dan keterlibatan siswa. Program ini diharapkan dapat berkontribusi dalam menciptakan ekosistem pembelajaran yang lebih modern, efektif, dan sesuai dengan tuntutan pendidikan abad ke-21.
A COMPARATIVE EVALUATION OF SARIMA AND FUZZY TIME SERIES CHEN MODELS FOR RAINFALL FORECASTING IN MAKASSAR Claudia, Gavrilla; Dewi, Atika Ratna; Riyana Putri, Aina Latifa
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 20 No 2 (2026): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol20iss2pp1389-1404

Abstract

High rainfall intensity in Makassar often leads to flooding. Therefore, forecasting the amount of rainfall is necessary as a reference for taking appropriate mitigation measures. This study was conducted to select the best model between the SARIMA and Fuzzy Time Series (FTS) Chen based on a comparison of their forecasting accuracy, as well as to forecast the amount of rainfall in Makassar for 2024 using the best model. For this study, monthly rainfall data covering the period from January 2014 to December 2024 were collected from the official website of the Central Statistics Agency (BPS) Makassar. Based on the analysis results, SARIMA(7,2,3)(1,1,1)12 was selected as the best model, with an MAE value of 2.654 and an RMSE value of 3.846. The contribution of this study lies in providing an empirical comparison between SARIMA and FTS Chen for rainfall forecasting in tropical regions. However, the limitation of this study is that the forecasting relies solely on historical rainfall data, without incorporating other meteorological variables that may influence rainfall patterns.
Bridging the Digital Divide: Enhancing Teacher Competencies for Student-Centered Learning Through Microsite Development Dewi, Atika Ratna; Yuniati, Trihastuti; Arifa, Amalia Beladinna; Sari, Dian Kartika; Alika, Shintia Dwi
Society : Jurnal Pengabdian Masyarakat Vol. 5 No. 1 (2026): Januari
Publisher : Edumedia Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55824/bn5jwa48

Abstract

Elementary school teachers at Tumiyang 1 Public Elementary School face significant challenges in adopting digital technology effectively with 73% having no prior knowledge of microsites and limited skills in creating interactive digital learning media. This digital literacy gap, common in rural educational contexts, results in conventional teaching methods that fail to engage today’s digital generation effectively. To address these challenges, a two-day intensive microsite creation training program was implemented using a participatory approach through hands-on training, mentoring, and product-based evaluation. The program consisted of three main stages, preparation, implementation, and evaluation and monitoring. Teachers learned to create web-based learning media using Google Sites and S.Id, integrating various digital resources, including Google Drive, Google Forms, YouTube, and Canva. Post-training evaluation revealed universally positive outcomes that most of the participants gained understanding of microsites, with all teachers successfully creating functional, content-rich microsites tailored to their subject areas. All participants expressed interest in further learning and rated the training as effective with clear and accessible materials. This program successfully bridged the digital competence divide, empowering rural teachers as agents of change capable of creating adaptive, interactive learning environments and contributing to educational equity between urban and rural areas.    
Spatial Analysis of Ensemble Learning Models for Agricultural Drought Early Warning Sudianto, Sudianto; Ni'amah, Khoirun; Dewi, Atika Ratna; Ramadhan, Afan; Aprilia, Jeti; Tiyaswening, Arsita Wiwit; Anataya, Syalaisha Nisrina
Journal of Applied Data Sciences Vol 7, No 1: January 2026
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v7i1.1108

Abstract

Drought poses a serious threat to rice production and local food security, triggered by climate anomalies such as El Niño. This study aims to evaluate and compare the performance of Ensemble Learning Models in classifying drought levels and analyze its correlation with periods of climate anomalies. This study uses Landsat 9 image data in the simulation period from June 2024 to July 2025, which is processed with HSV-based pan-sharpening and spectral index extraction (NDVI, NDWI, NDDI, EVI, LST). The modeling process applied undersampling to address class imbalance and hyperparameter tuning optimization using Optuna. The models compared included Random Forest, LightGBM, AdaBoost, XGBoost, and Gradient Boosting. The results showed that Gradient Boosting excelled with a train accuracy of 96,85% in original dataset with split dataset 70:30, whereas rise to 98.98% after tuning. Spatial validation was conducted in other rice field plots, however its steadfastly on research area with same treatment. The classification map shows the dominance of the moderate category, which temporally coincides with the period of rainfall decline associated with El Niño, although a direct causal relationship requires further investigation. These findings confirm that remote sensing combined with machine learning is effective for drought monitoring, with the caveat that the application of undersampling and limited spatial validation that is, confined solely to the research area; needs to be considered in the interpretation of results.
Model Matematika COVID-19 dengan Sumber Daya Pengobatan yang Terbatas Utti Marina Rifanti; Atika Ratna Dewi; Nurlaili
Limits: Journal of Mathematics and Its Applications Vol. 18 No. 1 (2021): Limits: Journal of Mathematics and Its Applications Volume 18 Nomor 1 Edisi Me
Publisher : Pusat Publikasi Ilmiah LPPM Institut Teknologi Sepuluh Nopember

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

Abstract

Coronavirus 2019 (COVID-19) merupakan penyakit menular yang disebabkan oleh Severe Acute Respiratory Syndrome Coronavirus 2. Hingga Desember 2020, terdapat 617 ribu kasus terkonfirmasi positif COVID-19 dengan total 18 ribu kematian karena COVID-19 di Indonesia. Pada penelitian ini, kami menggunakan model kompartemen Susceptible- Exposed-Infected-Recovered (S EIR) untuk analisis dampak sumber daya pengobatan yang terbatas dan memprediksi dinamika penyebaran COVID-19 di Indonesia. Metode yang digunakan adalah penurunan angka rasio reproduksi dasar dan titik ekuilibrium menggunakan analisis sistem dinamik dalam bentuk persamaan diferensial non linier yang diperoleh dari model awal. Kemudian, kami menganalisis angka rasio reproduksi dasar dan titik ekuilibrium, serta memprediksi kondisi pandemi COVID-19 menggunakan kasus nyata di Indonesia sejak 2 Maret hingga 30 Nopember 2020. Dari hasil penelitian ini, diperoleh bahwa jika perubahan kasus terinfeksi terhadap waktu kurang dari 2640 kasus, maka angka rasio reproduksi dasar menjadi kurang dari nol dan nilai semakin mendekati nol saat mulai memasuki bulan Maret 2021. Hal tersebut berarti, jika rata-rata kasus positif terkonfirmasi harian masih di bawah kapasitas maksimal sumber daya pengobatan, yaitu 2640 kasus, maka dari hasil analisis model diprediksikan bahwa penyakit akan mulai menghilang pada bulan Maret 2021. Sebaliknya, jika kasus positif terkonfirmasi harian di atas 2640 kasus, maka diperkirakan penyakit akan mulai menghilang pada Juni 2021.