Article Per Year (5 Year)
p-Index From 2021 - 2026
2.59
P-Index
This Author published in this journals
All Journal ComEngApp : Computer Engineering and Applications Journal Jurnal Mahasiswa TEUB Sisforma: Journal of Information Systems JURIKOM (Jurnal Riset Komputer) JUTIS : Jurnal Teknik Informatika Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Pengabdian Polinema Kepada Masyarakat Jurnal Pengabdian kepada Masyarakat KLIK: Kajian Ilmiah Informatika dan Komputer International Journal of Social Science, Educational, Economics, Agriculture Research, and Technology (IJSET) Jurnal Pengabdian pada Masyarakat Ilmu Pengetahuan dan Teknologi Terintegrasi Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Jurnal Teknik Ilmu dan Aplikasi
Vipkas Al Hadid Firdaus
Politeknik Negeri Malang
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Public Health Social Sciences Other

Published : 17 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Jurnal Sistem Komputer dan Informatika (JSON)

 1 
Analisis Forensik Digital Memori Volatile untuk Mendapatkan Kunci Enkripsi Aplikasi Dm-Crypt Vipkas Al Hadid Firdaus; Dodit Suprianto; Rini Agustina
Jurnal Sistem Komputer dan Informatika (JSON) Vol 2, No 3 (2021): Mei 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v2i3.2998

Abstract

Disk encryption technology is something very useful in securing data. On the other hand, disk encryption can be used by criminals to hide the digital evidence. The information in the disk will be very useful for the investigation, but if the disk on the computer evidence encrypted then it will hamper the investigation process. The conditions will certainly be a challenge for investigator cybercrime to be able to find the disk encryption key, especially if the perpetrator did not cooperate in the investigation process. The analysis of the image memory to get the encryption key will be helpful in the investigation. In the overall memory activity on the computer evidence will be recorded, using a live image memory dump on the computer evidence, the decryption keys can be recovered. This paper will discuss about forensic analysis to getting the disk encryption key on the dm-crypt is used to encrypt the disk on Linux operating system and prove that through forensic image memory on a live memory dump, key dm-crypt disk encryption can be found with a success percentage of 80%. On this paper the research will be focused on the Linux operating system with dm-crypt function to full disk encryption.
Sistem Monitoring dan Analisis Penggunaan Energi Listrik Rumah Berbasis Internet of Things Menggunakan Prophet Algorithm Vipkas Al Hadid Firdaus; Meyti Eka Apriyani; Nurus Laily Aprilia
Jurnal Sistem Komputer dan Informatika (JSON) Vol 4, No 3 (2023): Maret 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v4i3.5896

Abstract

Electrical energy is one of the necessities of human life, especially in modern society in urban areas. With a monitoring device for electrical energy consumption using IoT technology, the results of the development show that the monitoring system works well, but the results show that current and voltage measurements are still less accurate. Therefore, in this study, an Electrical Energy Analysis and Monitoring System was developed using the IoT-Based Prophet Algorithm. Data collection was obtained from electrical energy using the PZEM-004T module sensor device used at home and the energy data obtained were stored in a MySQL database. This PZEM data retrieval will appear in real-time on the Monitoring Website. The dataset was processed by implementing the Prophet Algorithm, evaluating the model and visualizing the prediction results on the analysis website. Testing using Mean Absolute Percentage Error (MAPE). For design, this system uses energy data and data retrieval time as parameters in the monitoring system for the use of electrical energy at home. Analysis of data taken from electrical energy monitoring was predicted by the model created by the Prophet Algorithm and tested with MAPE to see how accurate the predicted value is in the Prophet Algorithm model. Predictions in this study get an error value of less than 10%, namely 6.87%, which means it is very accurate in predicting the prophet algorithm at home.
Co-Authors Abiyyu Yafi Ade Ismail Ade Ismail Ade Ismail Adei Ismail Agustina, Rini Ane Fany Novitasari Annisa Puspa Kirana Annisa Taufika Firdausi Aprilia, Nurus Laily Arief Prasetyo Arief Prasetyo Arief, Sofyan Nur Batubulan, Kadek Suarjuna Dian Hanifudin Subhi Dodit Suprianto Eka Apriani, Meyti Elok Nur Hamdana Imam Fahrur Rozi Kadek Suarjuna Batubulan Mamluatul Hani’ah Muhammad Afif Hendrawan Muhammad Aswin Mustofa, Ali Noprianto Noprianto, Noprianto Nurtjahjani, Fullchis Nurus Laily Aprilia Odhitya Desta Triswidrananta Pramudhita, Agung Nugroho Putra Prima Arhandi Putra Prima Arhandi, Putra Prima Rizky Ardiansyah Sofyan Noor Arief Sofyan Nur Arief Vivi Nur Wijayaningrum Yazeed Qholili Arifin Yudistira Fiandra Putra, Bagaseto