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All Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING Journal of Soft Computing Exploration Intechno Journal : Information Technology Journal
Saputro, Uyock Anggoro
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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Analysis System Presensi Menggunakan RFID Card Dengan Modul Mifire RC522 Berbasis Arduino Uno: (Studi Kasus Pada Kantor Dinas Lingkungan Hidup, Kabupaten Mamasa) Putra, Elliantosya Anugrah; Saputro, Uyock Anggoro; Prasetya, Wahyu Sindu
Intechno Journal : Information Technology Journal Vol. 6 No. 1 (2024): July
Publisher : Universitas Amikom Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/intechnojournal.2024v6i1.1672

Abstract

Penelitian ini membahas tentang penggunaan sistem presensi elektronik RFID Card yang dikombinasikan dengan teknologi Arduino Uno. Metode yang digunakan adalah penelitian kualitatif dengan pendekatan studi kasus dinas lingkungan hidup dan kehutanan Kabupaten Mamasa, provinsi Sulawesi Barat. Penelitian ini menemukan bahwa Secara keseluruhan, hasil studi literatur menunjukkan bahwa RFID card yang dikombinasikan dengan teknologi Arduino Uno adalah teknologi inovatif yang efektif dan efisien untuk digunakan sebagai sistem presensi di berbagai tempat kerja dan institusi pemerintahan.
Performance analysis of amd ryzen 5 4600h mobile processor undervolting using AMD APU tuning utility on cinebench R23 Sulistiyono, Mulia; Ariadi, Muhammad Vicri; Kharisma, Rizqi Sukma; Saputro, Uyock Anggoro
Journal of Soft Computing Exploration Vol. 5 No. 2 (2024): June 2024
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v5i2.369

Abstract

In an effort to optimize laptop performance for gaming and high-demand applications without costly hardware upgrades, this research investigates the impact of CPU undervoltage using the AMD Ryzen Mobile 4600H processor. Undervolting, the process of reducing the CPU's voltage supply, is proposed as a strategy to enhance performance by lowering operational temperatures, potentially allowing for more efficient processing. This study uses the AMD APU Tuning Utility to adjust voltage settings and assesses performance changes using a series of benchmarks. Initial findings indicate that undervoltage can indeed have beneficial effects. The most significant data point from the research is the comparison of Cinebench R23 scores before and after applying undervolting settings. From a baseline score of 6835 points, system performance increased to 7880 points in the optimal undervolting scenario, an improvement of 1045 points. This shows a noticeable enhancement in processing efficiency. However, the study also reveals some complexities in undervolting, such as an initial drop in performance in the first configuration before gains are realized in subsequent adjustments. Efficiency values varied across different settings, starting with a decrease (-0.41) and culminating in a substantial gain (+1.54) by the fourth configuration. These results suggest that while undervolting can improve performance, the outcomes depend significantly on finding the right voltage balance, highlighting the nuanced nature of CPU voltage manipulation for performance optimization.
Design of an IoT-Based Air Quality System with Web Integration in a Palm Oil Mill Environment Rohim, Sigid Nur; Saputro, Uyock Anggoro
Journal of Applied Informatics and Computing Vol. 9 No. 4 (2025): August 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i4.9876

Abstract

This research aims to design and implement an Internet of Things (IoT)-based air quality monitoring system with real-time data integration to web applications in the PT Gemareksa Mekarsari palm oil mill environment. This system utilizes NodeMCU ESP32 as the main microcontroller connected with MQ-2 and MQ-135 sensors to detect CO, CH₄, and NH₃ gases. Data is sent in real-time to the ThingSpeak platform and displayed through a responsive web dashboard. Testing was conducted over two days at three different location points (open area, fruit processing, and factory office) with a total of 45 measurements. Results showed that the system was able to transmit data with a delivery accuracy rate of 86.67%, with most data received without delay.. The detected gas concentrations were within safe limits, although mild fluctuations occurred, especially in the fruit processing area. The system also showed stable performance in displaying data on mobile and desktop devices. Thus, this system can be an effective solution for automatic and real-time industrial air monitoring, and support efforts to mitigate health risks due to air pollution.
Co-Authors Ariadi, Muhammad Vicri Kharisma, Rizqi Sukma Mulia Sulistiyono Prasetya, Wahyu Sindu Putra, Elliantosya Anugrah Rohim, Sigid Nur