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All Journal ComEngApp : Computer Engineering and Applications Journal Jurnal Pendidikan dan Pembelajaran Khatulistiwa (JPPK) Indo-MathEdu Intellectuals Journal
Prasetyo, Bimo
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Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Languange, Linguistic, Communication & Media Mathematics Other

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PENGARUH LATIHAN MENGGUNAKAN MEDIA TARGET TERHADAP KETEPATAN HASIL SHOOTING SEPAKBOLA Prasetyo, Bimo; Triansyah, Andika; Haetami, Mimi
Jurnal Pendidikan dan Pembelajaran Khatulistiwa Vol 8, No 7 (2019): JULI 2019
Publisher : Jurnal Pendidikan dan Pembelajaran Khatulistiwa

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Abstract

Abstract This research aims to determine the effect of target media modification on the accuracy of football shooting results, using an experimental method with the design of "One Group Pretest-Posttest Design". The population in this study were participants in football extracurricular activities at SMP Negeri 5 Sungai Raya, totaling 20 students. Samples taken using saturated sampling techniques. The instrument used for the accuracy of the shooting test is the shooting test on the goal. Data analysis using t-test. Analysis of the prerequisite test carried out normality test and homogeneity test. The results of this study concluded that there was the effect of target media modification on the accuracy of football shooting results, with tcount (8.1)> ttable (1.729), meaning that there was an effect of training using target media on the accuracy of soccer shooting results with a percentage increase of 39.11%.        Keywords: Accuracy of Football Shooting, Target Media Training
Deforestation Analysis in Taba Penanjung District with NDVI Vatresia, Arie; Utama, Ferzha Putra; Rais, Rendra Regen; Prasetyo, Bimo
Computer Engineering and Applications Journal Vol 11 No 1 (2022)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (640.698 KB) | DOI: 10.18495/comengapp.v11i1.396

Abstract

Forests are cleared to expand residential areas and plantations or change the allocation of forest land to non-forest (deforestation). This study aims to create a map of the condition of the forest area and find out the areas affected by deforestation and determine the rate of change in the forest area in the Taba Penanjung District forest area. First data on Landsat 8 images geometric correction performed to position image data so that it matches the actual coordinates and performing Radiometric Correction is used to correct if an error or distortion occurs due to imperfect operation and sensors. NDVI Method is the method used for comparing the greenness of vegetation in satellite imagery, which uses band 4 (Red) and band 5 (NIR), which is processed by ArcMap software. The results of this study produced a map of the condition of forest areas and the area of land affected by deforestation. Forest turn-over rates were described in the annual trend from 2013 to 2018. Furthermore, this research shows that deforestation in the Taba Penanjung district has happened in 58% of the total area of 23,747 ha. Although the deforestation has decreasing value in 2015 by 1.6%, it showed that there were increasing values in deforestation rate in 2014, 2016, 2017 by 1.4%, 1.9%, and 9.5% respectively from the total area of 23,747 ha.
Deforestation Analysis in Taba Penanjung District with NDVI Vatresia, Arie; Utama, Ferzha Putra; Rais, Rendra Regen; Prasetyo, Bimo
Computer Engineering and Applications Journal (ComEngApp) Vol. 11 No. 1 (2022)
Publisher : Universitas Sriwijaya

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Abstract

Forests are cleared to expand residential areas and plantations or change the allocation of forest land to non-forest (deforestation). This study aims to create a map of the condition of the forest area and find out the areas affected by deforestation and determine the rate of change in the forest area in the Taba Penanjung District forest area. First data on Landsat 8 images geometric correction performed to position image data so that it matches the actual coordinates and performing Radiometric Correction is used to correct if an error or distortion occurs due to imperfect operation and sensors. NDVI Method is the method used for comparing the greenness of vegetation in satellite imagery, which uses band 4 (Red) and band 5 (NIR), which is processed by ArcMap software. The results of this study produced a map of the condition of forest areas and the area of land affected by deforestation. Forest turn-over rates were described in the annual trend from 2013 to 2018. Furthermore, this research shows that deforestation in the Taba Penanjung district has happened in 58% of the total area of 23, 747 ha. Although the deforestation has decreasing value in 2015 by 1.6%, it showed that there were increasing values in deforestation rate in 2014, 206, 2017 by 1.4%, 1.9%, and 9.5% respectively from the total area of 23, 747 ha.
Deteksi Serangan DDoS Menggunakan Deep Learning dalam Administrasi Jaringan Zukipli, Zukipli; Riskila, Aprila Kusuma; Saputra, Eko; Syaikhurrahman, Muh; Prasetyo, Bimo
Indo-MathEdu Intellectuals Journal Vol. 6 No. 6 (2025): Indo-MathEdu Intellectuals Journal
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/imeij.v6i6.4112

Abstract

The DDoS (Distributed Denial-of-Service) attack detection system aims to enhance network security across all aspects of internet technology utilization. One of its applications is in SPKLU (Public Electric Vehicle Charging Stations). This research aims to detect DDoS attacks using deep learning in network administration. The study employs a deep learning approach utilizing Convolutional Neural Network (CNN) on a public dataset. Based on our study and analysis results, CNN has a precision rate of 95%. The high accuracy and balanced performance against various types of attacks indicate the potential application of this model in real-world situations. This model shows promising performance in detecting various network traffic anomalies, providing important insights related to its potential practical use. Further research is still needed to enhance resilience against evolving DDoS attack tactics and to address potential limitations that may exist.
Co-Authors Andika Triansyah Arie Vatresia Eko Saputra Rais, Rendra Regen Riskila, Aprila Kusuma Syaikhurrahman, Muh Utama, Ferzha Putra Zulkipli Zulkipli