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All Journal Journal of Information Technology (JIfoTech) Journal of Computing Innovations and Emerging Technologies
Kristian Novando
Institut Shanti Bhuana
Computer Science & IT

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Analisis Kualitas Manajemen Bandwitdh Layanan Jaringan Internet di Institut Shanti Bhuana Maya Sari; Carolus Ningki; Fenni Rosa; Kristian Novando; Yohanes Duhin Mukin
Journal of Information Technology Vol 3 No 1 (2023): Journal of Information Technology
Publisher : Institut Shanti Bhuana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46229/jifotech.v3i1.666

Abstract

To test the quality of internet network services at the Shanti Bhuana Institute and the addition of two study programs, namely Information Technology S1 and PGSD S1 in August 2020. During this pandemic, advances in information technology, especially in the internet sector, network service quality, and system services are very important, especially when it comes to accessing online applications like Zoom or Google Meet. The internet network of the Shanti Bhuana Institute was initially only 10 Mbps, but was later increased to 130 Mbps. The author will analyze the quality of bandwidth management of internet network services at the Shanti Bhuana Institute. Based on these problems, the authors will use the FDMI (Fixed Daily Measurement Interval) and Qos (Quality of Services) methods to assess the quality of bandwidth management of internet network services at Shanti Bhuana Institute. The findings of this study can be used to make physical recommendations for the internet network of the Shanti Bhuana Institute. Based on measurements and tests carried out on the internet network at the Shanti Bhuana Institute, a throughput value of 6721 kb/s was obtained. This figure is part of the very good category index. Meanwhile, the amount of packet loss is very low (0.0001%), so it is classified as very good, the delay obtained is 50.338539 ms which is included in the very good category, while the jitter value is 52.97569 ms which is included in the good category.
Implementation of IoT-Based Automatic Irrigation System Using Decision Tree Algorithm on Hydroponic Garden at Institut Shanti Bhuana Bengkayang Kristian Novando; Noviyanti P
Journal of Computing Innovations and Emerging Technologies Vol. 1 No. 2 (2025): Volume 1 No 2
Publisher : novamindpress

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64472/jciet.v1i2.6

Abstract

This study presents the development and implementation of an automatic irrigation system based on the Internet of Things (IoT) utilizing the Decision Tree algorithm. The system was applied in a hydroponic garden at Institut Shanti Bhuana Bengkayang. It employs a water level sensor to detect the volume of water, which is then processed using the Decision Tree classification to determine whether the irrigation valve should be opened or closed. Data collected from the sensor were analyzed both manually and programmatically to find the optimal threshold for decision-making. The system was integrated with the Blynk platform, allowing real-time monitoring and control. Testing was conducted over 7 days with 210 data points, and the classification model achieved an accuracy of 100%. The results indicate that the proposed system effectively automates irrigation, minimizes manual intervention, and provides a reliable solution for small-scale smart farming applications.
Co-Authors Carolus Ningki Fenni Rosa Maya Sari Noviyanti. P Yohanes Duhin Mukin