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All Journal Teknika Jupiter Jurnal Informatika Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data) INOVTEK Polbeng - Seri Informatika JMM (Jurnal Masyarakat Mandiri) Jurnal Publika Pengabdian Masyarakat SIENNA Jurnal INFOTEL
Rini Nurlistiani
Institut Informatika Dan Bisnis Darmajaya
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Other

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PELATIHAN MICROSOFT OFFICE DAN MEDIA PEMBELAJARAN BERBASIS DIGITAL BAGI SISWA-SISWI SD NEGERI 1 SRIKATON Rini Nurlistiani; Handoyo Widi Nugroho; Andrean Danofic
Jurnal Publika Pengabdian Masyarakat Vol 6, No 1 (2024): Jurnal Publika Pegabdian Masyarakat
Publisher : Institut Informatika dan Bisnis Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/jppm.v6i1.4038

Abstract

The advancement of information and communication technology (ICT) in the industrial era 4.0 which is increasingly developing affects various fields in life, including one of them in the field of education. One of the objects of service carried out is at SD Negeri 1 Srikaton, Lampung. This service is aimed at 6th grade students because many do not understand the importance of information technology as a means of digital-based learning media such as microsoft office and Canva applications. The purpose of this training is to introduce information technology to students for such as office administration and create content marketing on social media media that is interesting and educational. The methodology used in this service is observation, socialization through presentations, demonstrations and direct practice to the participants, the last is mentoring and evaluation. The results of this service are that students are able to create imagination in designing school assignments, both from templates, colors, and font types in the Canva application. As well as the use of basic Office which is quite easy for participants to understand
IMPLEMENTASI PAPERLESS OFFICE SYSTEM DALAM MENINGKATKAN EFEKTIVITAS KERJA (Studi Kasus : Kantor Balai Kota Way Khilau) Rini Nurlistiani
Jurnal Publika Pengabdian Masyarakat Vol 5, No 2 (2023): Jurnal Publika Pengabdian Masyarakat
Publisher : Institut Informatika dan Bisnis Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/jppm.v5i2.3987

Abstract

Village government is the smallest scope within the Government of the Republic of Indonesia. However, the Village Government has a fairly large role in development. The office administration in the village hall is also very influential in increasing work effectiveness, one of which is in the Java City Village Hall, Kec. Way Khilau. It is hoped that paperless office administration introduced to the public will be able to increase work effectiveness and influence HR performance with the use of information technology. The service methods used include observing village officials, socializing the introduction of paperless offices, and training on how to use paperless offices properly. The result of this service is the human resources in the District Village Hall. Way Khilau is able to implement paperless information technology quite well.     
Application of Ensemble Machine Learning for Infectious Diseases with Vaccine Intervention: A Global COVID-19 Case Study Egi Safitri; Ruki Rizalnul Fikri; Rini Nurlistiani
JURNAL INFOTEL Vol 16 No 4 (2024): November 2024
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v16i4.1263

Abstract

The COVID-19 pandemic has posed significant challenges worldwide, especially in controlling the spread of the disease through vaccination and active case monitoring. This study aims to evaluate the effectiveness of various ensemble machine-learning models in predicting the number of daily vaccinations and the number of active cases of COVID-19 based on global data. The models used include Random Forest, Bagging, Gradient Boosting Machine (GBM), AdaBoost, and XGBoost. The evaluation results show that Random Forest provides the best performance in predicting both the number of daily vaccinations and active COVID-19 cases, with a MSE value of 4.7e+09, MAE of 16,971.1, and RMSE of 68,557.2 for daily vaccinations, as well as an R² Score of 0.989, indicating a high ability to explain data variability. The Bagging model also showed excellent results with MSE of 4.78e+09 and MAE of 17,039.8. In contrast, the AdaBoost model performed the worst in predicting both variables, with an MSE of 5.54e+10 and an MAE of 106,228.6. These findings suggest that Random Forest and Bagging are superior models for predicting the number of daily vaccinations and active COVID-19 cases. This study provides important insights into using machine learning to predict vaccination effectiveness and active case dynamics, aiding decision-making in global pandemic control efforts.
Co-Authors Agus Rahardi Alpenda Yuda Utama Andrean Danofic anggalia wibasuri Anggawidia Wibaselppa Ayu Firdhayanti Egi Safitri Erland Nur Syihab Halimah Halimah handoyo widi nugroho Hendra Kurniawan Neni Purwati Oscar Devinsen Rizky Amalia Ruki Rizalnul Fikri Sasya Nadira Suci Mutiara Supri Yanto Sushanty Saleh Wasilah Wasilah