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Journal : multinetics

Hyperparameter Tuning Menggunakan GridsearchCV pada Random Forest untuk Deteksi Malware Muhamad Malik Matin, Iik
MULTINETICS Vol. 9 No. 1 (2023): MULTINETICS Mei (2023)
Publisher : POLITEKNIK NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/multinetics.v9i1.5578

Abstract

Random forest is one of the popular machine learning algorithms used for classification tasks. In malware detection tasks, random forest can help identify malware with good accuracy. However, to improve model performance, a hyperparameter tuning process is required. GridsearchCV is a hyperparameter tuning method that allows the user to scan a number of selected hyperparameters. In this paper, we conduct experiments using GridsearchCV to perform hyperparameter tuning on Random forests for malware detection tasks. The experimental results show that by performing hyperparameter tuning, we can improve the model's accuracy in identifying malware
ANALISIS KEAMANAN WEBSITE KOTA DEPOK MENGGUNAKAN METODE VULNERABILITY ASSESSMENT Asep Kurniawan; Iik Muhamad Malik Matin
MULTINETICS Vol. 11 No. 1 (2025): MULTINETICS Mei (2025)
Publisher : POLITEKNIK NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/multinetics.v11i1.7226

Abstract

The increasing use of the internet and websites also increases the threat level of hacking data and information on the internet, especially websites. The National Cyber and Crypto Agency (BSSN) noted that until April 2022, cyber attacks in Indonesia reached 100 million cases. The current rampant case is pishing using the .go.id domain. With the rise of these events to maintain and prevent intrusions and attacks, a security analysis of the website is carried out using the vulnerability assessment method using Owasp ZAP, Acunetix, Vega, Nessus and Skipfish tools that can help find out the vulnerabilities on the website. The purpose of this study is to obtain website vulnerabilities as an anticipatory step from intrusions and other attacks and to determine the level of vulnerability obtained so as not to become a threat to the website and an opportunity for hackers. The results of the analysis found that the depok.go.id website is not yet safe because there are still 5 types of vulnerabilities through internal and external networks with risk alert level High, namely: Hash Disclosure - Mac OSX salted SHA-1, DNS Server Spoofed request Amplification DDoS, Session Cookie Without Secure Flag, Integer Overflow, and Page Fingerprint Diffenrential Detected - Possible Local File Include.