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Analisis Performance Central Prosessing Unit (CPU) Realtime Menggunakan Metode Benchmarking Yunanri W; Ammar Fauzan; Ahmad Yani; Muhammad Abdul Aziz
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 20 No. 2 (2021)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v20i2.1142

Abstract

Perkembangan teknologi semakin berkembang cepat baik dari performa, grafik, bandwidth dan lain-lainnya sehingga mempengaruhi berbagai sendi kehidupan dan profesi, hal ini menyebabkan perubahan sistem pada piranti atau kinerja pada central prosessing unit. Pada dunia bisnis, saat ini telah memfaatkan kemajuan teknologi informasi demi kelancaran kerja dibidang yang digeluti baik sekala kecil maupun sekala besar. Metode yang digunakan benchmarking merupakan suatu proses mengidetifikasi terhadap hardware dan proses suatu tolak ukur sebuah performa yang diharapkan. Adapun langkah pengujian melakukan evalusi kinerja central prosessing unit (CPU) yang dilakukan pada kinerja hardware atau perangkat keras baik prosessor, ram, vega dan lain sebagainya. Hasil pengujian yang dilaksanakan pada cental prosessing unit (CPU) penggunaan ram oleh prosessor i3 sebesar 3.1 Gb, GPU 3%, Disk uses 1%, penggunaan network atau jaringan 7.7 Mbps, penggunaan power suplay very low. Prosessor i5 sebesar 4.2 Gb, GPU 0%, Disk uses 0%, penggunaan network atau jaringan 7.7 Mbps, penggunaan power suplay low. Prosessor i7 sebesar 2.5 Gb, GPU 9%, Disk uses 9%, penggunaan network atau jaringan 104 Kbps, penggunaan power suplay high.
Rancang Bangun Sistem Poskes Berbasis Web Menggunakan Metode Waterfall untuk Memonitoring Kesehatan Masyarakat Desa Kedung Pilang Fanny Ryan Rizkiansah; Dhefi Intan Lukmana; Muhammad Abdul Aziz
Jurnal Kajian dan Penelitian Umum Vol. 4 No. 2 (2026): April: Jurnal Kajian dan Penelitian Umum
Publisher : Institut Nalanda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47861/jkpu-nalanda.v4i2.2354

Abstract

Advances in digital technology have had a significant impact on the health sector, particularly in the management and monitoring of public health data. However, at the Village Health Post (Poskes) level, paper is still used to record participant data, resulting in frequent recording errors and data loss, as well as delays in monthly reporting. This situation occurs at the Kedung Pilang Village Health Post, which still uses manual methods for recording public health data. This study aims to design a web-based Poskes system to improve the effectiveness of public health services. The system development used the Waterfall method, which includes needs analysis, design, implementation, testing, and maintenance. The system was built using PHP Native and MySQL and tested using the Black Box Testing method. The results of the study indicate that the system is able to simplify the process of recording, storing, searching, and monitoring health data more quickly, structured, and effectively. This system also helps improve the work efficiency of officers and the quality of health services in Kedung Pilang Village.
Implementasi Tempat Sampah Pintar Berbasis Internet of Things: Studi Kasus: Warung Sembako Desa Blambangan Raihan Eka Prasetyo; Yusuf Eko Rohmadi; Muhammad Abdul Aziz
Jurnal Ilmiah Dan Karya Mahasiswa Vol. 4 No. 2 (2026): April : JURNAL ILMIAH DAN KARYA MAHASISWA (JIKMA)
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jikma.v4i2.4573

Abstract

The development of Internet of Things (IoT) technology provides a solution to improve the efficiency of real-time monitoring, including in waste management. At the Stall of Grocery Store in Blambangan Village, monitoring the condition of the trash bin is still done manually, resulting in frequent delays in determining the level of fullness of the trash, which can cause accumulation and reduce environmental cleanliness. This study aims to implement an IoT-based smart trash bin to automatically monitor trash capacity and send notifications to users. The research methods used include observation, needs analysis, system design, implementation, and testing. The system was developed using an HC-SR04 ultrasonic sensor as a trash capacity detector, an ESP8266 microcontroller as a data processor and internet connection, and the Blynk application as a monitoring medium. The results of the study show that the system is able to monitor the level of fullness of the trash in real-time and send automatic notifications when the trash capacity reaches a predetermined limit. This system helps improve monitoring effectiveness, prevent waste accumulation, and support environmental cleanliness at the Stall of Grocery Store in Blambangan Village.