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All Journal JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah Jurnal Indonesia : Manajemen Informatika dan Komunikasi
Sari, Erika Lety Istikhomah Puspita
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Humanities Computer Science & IT Education Languange, Linguistic, Communication & Media Library & Information Science Social Sciences

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Revitalizing Strawberry Leaves: Developing a Tipburn and Leaf Spot Disease Detection System Through Convolution Analysis Using CNN Method Sari, Erika Lety Istikhomah Puspita
JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah Vol 8, No 3 (2023): Juni, socio-economics, community law, cultural history and social issues
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jimps.v8i3.25210

Abstract

Currently, plant identification processes are still manual and fraught with difficulties due to human nature. Human error can render the desired results ineffective. Another issue is that diseases in strawberry plants, such as tipburn and leaf spot, can hinder growth, affect plant quality, and have economic implications for agriculture. Therefore, the researchers developed a deep learning model using the Convolutional Neural Network (CNN) algorithm, specifically VGG16, with a dataset of 2,897 photos. The aim was to classify tipburn, leaf spot, and healthy states of strawberry plant leaves. To minimize overfitting during the classification training, the training dataset was included. This was done to enable the model to recognize fundamental variations of strawberry leaf images and achieve training and validation accuracies of 95.05% and 97.4%, respectively. Consequently, the training loss value was 19.68%, while the validation loss value was only 7.54%. The findings showed accuracies greater than 90% for both training and validation parameters. This research is expected to be beneficial in providing information on data augmentation processes and disease classification in strawberry plants.
Kajian Strategik Manajemen Keamanan Siber terhadap Proyek Telematika di Indonesia: Studi Kasus Kebocoran Pusat Data Nasional Ramadhani, Eka Hero; Enriko, I Ketut Agung; Sari, Erika Lety Istikhomah Puspita
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 1 (2025): Januari
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v6i1.1210

Abstract

On June 20, 2024, a cyber attack occurred on PDN, which caused several government public services in the form of SPBE to not run properly. The incident has the potential to cause data leakage and disclosure of the government and the Indonesian public by hackers. Cyber incident cases on PDN need to be studied in order to gain useful knowledge for implementing cybersecurity in telematics projects in Indonesia, especially SPBE. In this scientific paper, a study of cybersecurity management strategies is conducted on telematics projects in Indonesia with a case study of PDN leaks. The exploratory study method is used to identify the causes of cyber incidents on PDN. The factors causing PDN cyber incidents are then entered into the PPT framework to determine the handling solutions. The results of the identification and mapping show that there are 3 human factors, 4 factors, and 7 technological factors. The cybersecurity management strategy for telematics projects in Indonesia proposed in this study is in the form of solutions for handling, mitigating, and anticipating cyber incidents according to the case study studied. The results of this study can be a reference for organizers of public service telematics projects so that similar incidents do not occur in the future.
QOS ANALYSIS OF LEO SATELLITE BROADBAND NETWORK FOR IOT IN SMART FARMING Ramadhani, Eka Hero; Enriko, I Ketut Agung; Sari, Erika Lety Istikhomah Puspita; Alamsyah, Ahmad Tossin; Nuha, Muhammad Azza Ulin
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 3 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i3.7824

Abstract

The need for food in the form of agricultural products is currently increasing along with the growth of the world's population. However, the workforce in the agricultural sector in the modern era is decreasing because many young people are reluctant to become farmers. Therefore, the concept of Smart Farming emerged to overcome this problem by helping farmers manage and run agriculture efficiently using modern technology that can work automatically or be monitored or operated remotely using the internet network, for example, the Internet of Things (IoT) Smart Farming. However, agricultural areas located in remote or isolated villages are difficult to reach by terrestrial internet network infrastructure. Therefore, Low Earth Orbit (LEO) satellite broadband network infrastructure can be a new solution, so it needs to be researched. This research analyzes the Quality of Service (QoS) of LEO satellite broadband networks in IoT Smart Farming. The methods used consist of prototyping, experimentation, and analysis. QoS analysis based on throughput, packet loss, delay, and jitter parameters. The results of the experiment and analysis of this study indicate that the throughput value is 1243 bps. The speed test results show an average download speed of 88,89 Mbps and an upload speed of 14,08 Mbps. The packet loss value is 0%, which means that all packets were successfully sent. The average delay value is 97 ms. The jitter value is 26 ms. The results of this study can be further studied and developed for other use cases that are constrained by terrestrial internet network infrastructure.
Co-Authors Alamsyah, Ahmad Tossin I Ketut Agung Enriko Nuha, Muhammad Azza Ulin Ramadhani, Eka Hero