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All Journal JUTIK : Jurnal Teknologi Informasi dan Komputer Jurnal Informatika Dan Tekonologi Komputer
Muhammad Rizki Andrian Fitra
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Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Engineering Social Sciences Other

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SIMULASI SERANGAN SIBER MAC ADDRESS DAN IP ADDRESS SPOOFING PADA JARINGAN HTTP DI KALI LINUX Muhammad Rizki Andrian Fitra; Neysa Talitha Jehian; Lastri Elisabet Butarbutar; Dedy Kiswanto
Jurnal Teknologi Informasi dan Komputer Vol. 11 No. 2 (2025): JUTIK : Jurnal Teknologi Informasi dan Komputer, Edisi Oktober 2025
Publisher : LPPM Universitas Dhyana Pura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36002/jutik.v11i2.3766

Abstract

The rapid development of information technology presents a big challenge in terms of network security, especially against cyber-attacks. This research simulates MAC Address Spoofing attack on HTTP network using Kali Linux operating system. The purpose of this research is to understand how the attack process is carried out and evaluate its impact on communication security in an unencrypted network. The attacker impersonated a gateway through ARP Spoofing technique and successfully infiltrated the communication path between the victim and the server. The captured data shows that sensitive information such as usernames and passwords can be easily retrieved when the victim accesses HTTP sites. The results show that spoofing has been successfully carried out, as evidenced by the acquisition of usernames and passwords when victims access HTTP sites.
Sistem Jemuran Otomatis Berbasis Deteksi Visual dan Sensor Hujan dengan ESP32 Muhammad Rizki Andrian Fitra; Neysa Talitha Jehian; Sybil Auzi; Thania Dealva Arsyad; Hermawan Syahputra
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 5 No. 2 (2025): Juli : Jurnal Informatika dan Tekonologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v5i2.6597

Abstract

Unpredictable weather in tropical regions often disrupts clothes drying activities, as sudden rain can cause clothes to become wet again. To address this issue, this study developed an automatic clothes drying system based on ESP32-CAM that can detect weather conditions using two main methods: sky image analysis and rain sensors. The system periodically captures sky images using the ESP32-CAM camera, then analyzes the brightness and contrast of the images to determine weather conditions, with brightness thresholds < 100 and contrast > 30 indicating cloudy weather. Data from the rain sensor is used as additional verification to enhance system accuracy. The decision-making logic combines both data sources to determine whether the clothesline should be retracted or left open. Offline image classification results show an accuracy of 93.67%, while direct testing against 10 weather scenarios yields a system accuracy of 100%. With its high performance and adaptive response to weather changes, this system demonstrates significant potential for implementation as an Internet of Things (IoT)-based home automation solution.
Co-Authors Dedy Kiswanto Hermawan Syahputra Lastri Elisabet Butarbutar Neysa Talitha Jehian Sybil Auzi Thania Dealva Arsyad