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All Journal Jurnal Asiimetrik: Jurnal Ilmiah Rekayasa Dan Inovasi Journal of Informatics and Advanced Computing
Ninuk Wiliani
Universitas Pancasila
Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering

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Introduction to Surface Damage on Solar Panels with Feature Extraction using Statistical Methods Ninuk Wiliani; Titik Khawa; Suzaimah Ramli
Jurnal Asiimetrik: Jurnal Ilmiah Rekayasa Dan Inovasi Volume 7 Number 2 (2025)
Publisher : Fakultas Teknik Universitas Pancasila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35814/asiimetrik.v7i2.8298

Abstract

Damage to the surface of solar panels, such as cracks, scratches, and stains, can reduce the energy efficiency produced. The surface of solar panels often experiences various types of damage such as cracks, scratches, stains, or being in good condition, which can affect energy absorption efficiency. The data used in this study consists of 4000 images covering various categories of surface conditions. The method used in this research is the Texture Feature Extraction Method with statistical indicators, namely Mean, Variance, Standard Deviation, Skewness, Kurtosis, and Entropy, to identify existing damage patterns. These features are then analyzed and classified to determine the type of damage on the panel surface. The feature extraction process generates data representations that depict the texture patterns of each surface condition category. This research aims to identify damage on the surface of solar panels using texture-based feature extraction techniques to support the efficient maintenance of solar panels.
KAJIAN KEAMANAN CCTV BERBASIS INTERNET OF THINGS "MENGIDENTIFIKASI MASALAH DAN SOLUSI PERLINDUNGAN" Michael Valiant; Ninuk Wiliani
Journal of Informatics and Advanced Computing (JIAC) Vol 6 No 2 (2025): Journal of Informatics and Advanced Computing
Publisher : Universitas Pancasila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35814/gtrsgn29

Abstract

Perkembangan teknologi khususnya pada Internet of Things (IoT) yang menjadi awal adopsi perangkat seperti CCTV IoT dalam sistem keamanan rumah. Tetapi perangkat tersebut rentan terhadap ancaman siber seperti Man-in-the-Middle, Denial of Serivices, dan Brute force. Dari lemahnya autentikasi, enkripsi data yang kurang baik, serta penggunaan kredensial default. Penelitian bertujuan mengidentifikasi potensi kerentanan dan mengeksploitasi nya dengan metode serangan pada perangkat CCTV IoT dan memberikan solusi pendekatan ekperimental. Pengujian ini dilakukan pada dua perangkat CCTV IoT yang dipasang pada ruang lingkup rumah, dengan menggunakan beberapa tools open-sources seperti Nmap, Bettercap, dan Metasploit pada sistem operasi ubuntu linux. Hasil dari pengujian ini menunjukkan perangkat memiliki kerentanan keamanan pada konfigurasi jaringan dan autentikasi, serta rentan terkena serangan DoS dan Sniffing data. Solusi yang bisa diberikan, penggunaan firewall, sistem deteksi intrusi, dan pembaruan firmware, serta penguatan kredensial.
Co-Authors Michael Valiant Suzaimah Ramli Titik Khawa