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All Journal Bulletin of Computer Science Research JUTECH : Journal Education and Technology Abdi Jurnal Publikasi
Nursakinah, Badriah
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Computer Science & IT Education Languange, Linguistic, Communication & Media Social Sciences Other

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PENGENALAN INTERNET OF THINGS IOT BAGI SISWA YAYASAN CAHAYA ISLAM MUTIARA IMANI GUNA MEMANFAATKAN KEMAJUAN TEKNOLOGI MASA KINI Vindua, Raditia; Nursakinah, Badriah; Nurhayati
Abdi Jurnal Publikasi Vol. 2 No. 4 (2024): Maret
Publisher : Abdi Jurnal Publikasi

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

Abstract

Technological advances not only make human work easier, but can also reduce human involvement in an activity. In other words, the sophistication of existing technology can enable electronic devices to always be connected to the internet and will automatically be able to carry out commands according to the user's desired program, where air conditioners, computers, printers, lamps and other electronic equipment can be operated automatically. automatically functions according to previously input commands or by utilizing a database which is then processed with Artificial Intelligence logic so that it can generate commands automatically. Basically what you need to know is that a school is an institution for teaching and learning activities as well as a place for receiving and giving lessons. School is a place for students to study and is trusted by the community as a place to learn, train skills and even the process of maturing children by absorbing education from school in accordance with the function of the school itself, namely filling children's brains with various kinds of knowledge. Therefore, to increase the knowledge and understanding of students at the Cahaya Islam Mutiara Imani Foundation regarding current technological developments, training was created in the context of community service regarding Introduction to the Internet of Things (IoT). IoT technology is a trend in the digitalization era that can facilitate human activities by integrating several devices that will be connected to the internet network. In other words, IoT technology has helped many schools provide the best learning experience. Where learning institutions that have not yet embraced IoT technology are hastened to embrace and adapt to this IoT technology trend. Where the role of IoT in the world of education is to provide a comfortable learning experience. This also includes the infrastructure needed so that IoT can work optimally. The advantages of IoT technology that can be used in the education sector include that it can increase learning engagement, can provide space for personalized learning and provides extraordinary media and access for students with special needs. The aim of introducing and implementing the Internet of Things itself is apart from increasing insight into Internet of Things technology and the function of IoT itself, it is hoped that the material presented by the PKM team can increase knowledge for students at the Cahaya Islam Mutiara Imani Foundation. Community service activities can be organized well and run smoothly in accordance with the activity plans that have been prepared. This activity was very well received as evidenced by the participants' active participation in the entire event process and the question and answer session regarding the material provided.
Klasifikasi Citra Medis Penyakit Pneumonia dengan Metode Convotional Neural Network Khairudin; Bobi Agustian; Nursakinah, Badriah
Bulletin of Computer Science Research Vol. 5 No. 4 (2025): June 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i4.576

Abstract

Pneumonia is a pulmonary infection that remains one of the leading causes of death among children under five, especially in developing countries. Early detection and rapid diagnosis are critical in managing this disease, particularly in regions with limited access to medical professionals. This study aims to develop an automatic classification system for pediatric chest X-ray images using the Convolutional Neural Network (CNN) method to detect pneumonia. The dataset used consists of 5,863 pediatric chest X-ray images categorized into two classes: Pneumonia and Normal. The images underwent preprocessing stages including resizing, normalization, augmentation, and noise removal. The CNN architecture includes stacked convolutional layers, max pooling, dropout, and a fully connected layer with sigmoid activation. The model was trained using 80% of the data for training, 10% for validation, and 10% for testing. Performance was evaluated using accuracy, precision, recall, and F1-score metrics. Evaluation results showed that the model achieved over 93% accuracy, with 92.5% precision, 94.2% recall, and an F1-score of 93.3%. Transfer learning using pretrained models (VGG16 and ResNet50) further improved performance. These findings demonstrate that CNN is an effective tool for medical image classification and has strong potential to support fast and accurate pneumonia diagnosis, especially in resource-limited healthcare settings.
ANALISIS PENGARUH JARAK DAN HALANGAN PADA TRANSMISII DATA JARINGAN NIRKABEL DENGAN MENGGUNAKAN METODE SIGNAL- TO- NOISE RATIO (SNR) Nursakinah, Badriah; Syafitri, Khairunnisa; Wijaya, Michelle Aniela; Fahlapi, Fasha
JUTECH : Journal Education and Technology Vol 6, No 1 (2025): JUTECH JUNI
Publisher : STKIP Persada Khatulistiwa Sintang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31932/jutech.v6i1.4955

Abstract

Jaringan Nirkabel merupakan salah satu alternatif unggul, membangun sebuah jaringan komputer yang praktis. Jaringan Nirkabel memanfaatkan gelombang radio sebagai media transmisi data. Namun jaringan nirkabel ini masih memiliki banyak kelemahan dan sangat rentan terhadap ancaman - ancaman serangan dari pihak yang tidak bertanggung jawab. SNR atau sering disebut dengan Signal to Noise Ratio merupakan perbandingan antara daya sinyal dengan daya noise yang ada di dalam suatu transmisi. Selain itu jaringan sensor nirkabel juga memiliki kelemahan antara lain keterbatasan daya, memori dan komunikasi. Keberadaan halangan fisik di jalur transmisi nirkabel dapat secara signifikan mempengaruhi kekuatan sinyal dan SNR). Halangan seperti dinding, bangunan, dan bukit dapat menghalangi sinyal nirkabel, mengurangi kekuatannya saat mencapai penerima . Kekuatan sinyal nirkabel secara alami menurun seiring dengan bertambahnya jarak antara perangkat pengirim dan penerima. Fenomena ini dikenal sebagai pathloss atau atenuasi.
Co-Authors Bobi Agustian Fahlapi, Fasha Khairudin Nurhayati Syafitri, Khairunnisa Vindua, Raditia Wijaya, Michelle Aniela