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All Journal Informatik : Jurnal Ilmu Komputer 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.
Menganalisa Foto Hoax Dengan Menggunakan Metode Reverse Image Search Revaldo Tesso; Kristian Novando; Christian Cahyaningtyas
Informatik : Jurnal Ilmu Komputer Vol 19 No 3 (2023): Desember 2023
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52958/iftk.v19i3.6154

Abstract

Penelitian ini fokus pada permasalahan serius penyebaran berita palsu melalui internet, terutama melibatkan penggunaan foto yang dimanipulasi atau diambil dari konteks aslinya. Dalam upaya mengatasi tantangan ini, penelitian ini menggunakan metode reverse image sebagai strategi utama. Metode ini melibatkan analisis foto hoax dengan membandingkan citra yang ditemukan dengan basis data citra yang ada, sehingga dapat mengidentifikasi sumber asli atau keaslian suatu gambar. Dataset foto hoax dikumpulkan dari media sosial untuk dianalisis dengan metode gambar terbalik guna mengungkap apakah foto tersebut telah dimanipulasi atau diambil dari konteks yang salah. Temuan penelitian menunjukkan bahwa metode reverse image terbukti sangat efektif dalam mengidentifikasi foto hoax. Hasil ini memberikan kontribusi signifikan dalam upaya memerangi penyebaran berita palsu dan juga meningkatkan kesadaran pengguna media sosial untuk lebih berhati-hati dalam menyebarkan informasi yang belum terverifikasi.
Co-Authors Cahyaningtyas, Christian Carolus Ningki Fenni Rosa Maya Sari Noviyanti. P Revaldo Tesso Yohanes Duhin Mukin