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All Journal International Journal of Electrical and Computer Engineering INTEK: Jurnal Penelitian Jurnal Teknologi Elekterika
Nurhayati Nurhayati
Jurusan Teknik Elektro Politeknik Negeri Ujung Pandang
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Pengaruh Kapasitor Shunt Terhadap Susut Transmisi Sistem Interkoneksi Sulselbar Berbasis DIgSILENT Power Factory 15.1. Marwan, Marwan; Nurhayati, Nurhayati; A. Al Qahfi, Andi Sultan; Burhan, Rizqi A
INTEK: Jurnal Penelitian Vol 3 No 1 (2016): April 2016
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1939.202 KB) | DOI: 10.31963/intek.v3i1.6

Abstract

The aim of this research is to investigate the influence of shunt capacitor on losses of interconnection system of Sulselrabar transmission lines. In this study, DIgSILENT Power Factory 15.1 software is used to simulate the power flow in the system under study. There are three conditions applied in this study; real condition, in condition of all capacitors activated and in condition of all capacitors inactivated. Obtained results show that there are differences in the value of the losses among these three conditions, where the lowest losses is occurred at the second condition with 1,69% and the highest losses occurred at the third condition with 1,76%.
SISTEM INFORMASI PENGHITUNG STOK BARANG MENGGUNAKAN METODE FIRST INPUT FIRST OUTPUT (FIFO)dan ECONOMIC ORDER QUANTITY (EOQ) Nurhayati Nurhayati; Muh. Ilyas Syarif
Jurnal Teknologi Elekterika Vol 14, No 1 (2017): mei
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (584.315 KB) | DOI: 10.31963/elekterika.v1i1.1212

Abstract

Sistem informasi berkembang seiring dengan kemampuan komputer memberi solusi bagi permasalahan diberbagai bidang. Salah satu perkembangan teknologi informasi yaitu adanya program yang bisa memberikan solusi untuk proses stok barang sampai penjualan. Pada studi kasus stok barang pada UKM technocausa di kabupaten Gowa, peneliti memperhatikan masih terdapat banyak permasalahan pada proses stok barang sampai penjualan karena masih dilakukan secara konvensional sehingga berdampak terhadap keterlambatan di dalam penyampaian suatu data informasi, baik kepada manajer maupun kepada konsumen. Dengan ini peneliti memberikan solusi pembuatan program stok barang sampai penjualan dengan menggunakan metode First Input First Output (FIFO) dan Economic Order Quantity (EOQ). Dengan adanya program sistem informasi ini, maka akan mempermudah proses pancarian dan mengupdate suatu barang dalam database komputer untuk sebuah informasi yang lebih akurat dan lebih tepat waktu sesuai dengan yang diharapkan dan diinginkan oleh pemakai atau user. Dalam penelitian ini diperoleh rancangan web desain sistem informasi yang diimplementasikan untuk stok barang dan penjualan dan dilakukan pengujian terhadap metode FIFO dan EOQ dengan kesalahan 0 %.
Design and implementation of an internet of things enabled stress level detection system using fuzzy logic method for enhanced accuracy and real-time monitoring Nurhayati, Nurhayati; Hidayah, Nur; Ahyar, Muh.; Asriyadi, Asriyadi; Yuniarti, Yuniarti; Faraby, Muhira Dzar; Mustika, Mustika; Akhriana, Asmah; Mukhlisin, Mukhlisin
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i2.pp2499-2512

Abstract

Stress can affect individuals of all ages, from the young to the elderly, leading to a compromised immune system and increased susceptibility to illness. This study addresses this issue by developing an internet of things (IoT) based stress level detection system utilizing fuzzy logic methods. The device measures multiple physiological parameters and processes the data using an ESP32 microcontroller. This allows individuals to monitor and understand their stress levels efficiently and automatically through a liquid crystal display (LCD) display and Android devices. The system integrates various sensors to capture vital signs such as heart rate (HR), respiration rate, and body temperature. These readings are then analyzed using its algorithms to determine the stress level, which is displayed on both the onboard LCD and the connected Android device via an IoT interface. This real-time feedback mechanism empowers users to take proactive measures in stress management. Testing and validation of the device were conducted by comparing its readings with the depression anxiety stress scales (DASS-42) test results. The comparison showed an 80% correlation, demonstrating the device’s accuracy and reliability in detecting stress levels. This innovative approach leverages the advantages of IoT and fuzzy logic to provide a practical and effective solution for stress monitoring and management.
Co-Authors A. Al Qahfi, Andi Sultan Ahyar, Muh. Akhriana, Asmah Asriyadi Asriyadi Burhan, Rizqi A Marwan Marwan Muh. Ilyas Syarif Muhira Dzar Faraby, Muhira Dzar Mukhlisin Mukhlisin Mustika Mustika Nur Hidayah Yuniarti Yuniarti