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Perancangan Sistem Pemantau dan Pengendali Alat Rumah Tangga Berbasis NodeMCU Dede Irawan Saputra; Isti Maulani Fajrin; Yuda Bakti Zainal
JTERA (Jurnal Teknologi Rekayasa) Vol 4, No 1: June 2019
Publisher : Politeknik Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31544/jtera.v4.i1.2019.9-16

Abstract

Seiring padatnya aktivitas di luar rumah, penghuni rumah terkadang mengalami kesulitan dalam memantau dan mengendalikan peralatan elektronik yang terdapat di rumah. Salah satu alternatif pemantauan peralatan elektronik dapat memanfaatkan fasilitas internet sebagai media pembawa dan penerima informasi dengan keunggulan dapat diakses di manapun dan kapanpun. Penggunaan divais mikrokontroler yang terintegrasi dengan sensor dapat menjadi salah satu solusi untuk memudahkan penghuni rumah agar dapat memantau status perangkat elektronik dari jauh melalui sebuah aplikasi pada smartphone-nya. Pada penelitian ini, dikembangkan sebuah divais pemantau dan pengontrol alat rumah tangga berbasis internet sebagai media informasi status peralatan rumah tangga. Mikrokontroler NodeMCU digunakan sebagai pengolah data dan pengendali yang terintegrasi dengan modul WiFi. Sensor yang digunakan adalah sensor arus ACS712. Pada penelitian ini variabel yang dipantau adalah daya penggunaan alat rumah tangga pada sebuah dispenser. Pembuatan alat pemantauan tersebut dilengkapi dengan perangkat lunak Blynk dan IFTTT. Hasil penelitian menunjukkan bahwa peralatan elektronik rumah tangga dapat dikendalikan menggunakan smarthphone dari jarak jauh dan dapat memantau status alat rumah tangga beserta mengetahui konsumsi daya dan biaya yang digunakan. Kelebihan dari perangkat pemantauan adalah jarak tidak berpengaruh pada alat. Akan tetapi, koneksi internet yang terhubung pada alat sangat berpengaruh untuk mengendalikan alat elektronik rumah tangga.
Comparative Model of Single-phase AC Cycloconverter for 1000Wp Photovoltaic Grid-connected 220VAC-50Hz Handoko Rusiana Iskandar; Yuda Bakti Zainal; Ana Urbaningtyas
Jurnal Serambi Engineering Vol 7, No 4 (2022): Oktober 2022
Publisher : Fakultas Teknik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jse.v7i4.4300

Abstract

Currently, the Electrical Engineering Laboratory (EEL) of Universitas Jenderal Achmad Yani has a 1 kWp photovoltaic (PV) system. However, in order to fulfill the overall load, the hybrid link to the grid must be improved. The PV system and the grid must be synchronized in terms of voltage, frequency, and phase. This article presents comparative simulations of AC-AC converter models of power electronics component variants using MATLAB 2019a. Among other stages is to model the DC-DC Converter in order to enhance the output voltage of the solar panel by identifying the circuit characteristics. The second stage involves simulating the MOSFET-based DC-AC Converter circuit, which is used to convert DC to AC. The use of switching Thyristor, Gate Turn-Off Thyristor (GTO), and Insulated Gate Bipolar Transistor (IGBT) in an AC-AC phase converter to connect to the grid is examined in this range. Non-linear and linear loads are used to represent the load on the AC Cycloconverter range. Based on the results of the modeling and analysis of the PV 1 kWp system, the AC Cycloconverter in the first stage may provide a frequency of 50 Hz with a voltage drop of 235.4 V for the line and 231.9 V for the non-linear, which meets the AC Cycloconverter criterion.
The Green Campus Building's Rooftop Photovoltaic System Design Project Handoko Rusiana Iskandar; Deri Mardiansyah; Atik Charisma; Een Taryana; Yuda Bakti Zainal
Infotekmesin Vol 15 No 1 (2024): Infotekmesin: Januari, 2024
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v15i1.1945

Abstract

Universitas Jenderal Achmad Yani, whose major campus is in Cimahi City, is constructing a large-scale campus development, the size of which is directly proportionate to the quantity of energy consumed. This increase in electrical energy consumption can be minimized by utilizing environmentally friendly renewable energy sources to supply loads and reduce the use of existing energy from the grid (PT. PLN). This context supports a design proposal for the production of photovoltaic-based photovoltaic on the Universitas Jenderal Achmad Yani campus, particularly in two buildings with exceptional roof potential. In this paper, the modeling carried out aims to help supply renewable energy-based electrical energy. The design of PV on Grid Installation Engineering in Buildings at Universitas Jenderal Achmad Yani carried out in this paper includes PV placement layout, PV construction, and simulation using PVsyst. The rooftop-type grid-connected PV is modeled in the Faculty of Health Sciences and Technology (FHST) Building and the Rectorate Building, which are composed of PV panels, inverters, and other supporting components. Grid PV design and simulation modeling on the roofs of FITKES and Rectorate Buildings resulted in a total installable PV capacity of 420 kWp, an annual average Performance Ratio of 80.6%, and an average potential energy output of 702 MWh/year. This energy potential is undoubtedly proposed to fulfill future electricity needs.
Stasiun Cuaca Cerdas dengan Fitur Klasifikasi Cuaca Menggunakan Metode Gaussian Naïve Bayes irvan budiawan; Yuda Bakti Zainal; Asep Najmurokhman; Kusnandar; Zul Fakhri; Sidik Herlambang; Rizal Algifari
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 20 No. 2 (2026)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v20n2.3030

Abstract

Weather affects environmental conditions and daily human activities. Rapid weather changes can disrupt activities and potentially cause disasters. Therefore, an accurate and real-time weather monitoring system is needed. However, the high price of commercial weather station devices limits environmental data in many areas. This study aims to develop a low-cost ESP32 microcontroller-based weather station without compromising measurement reliability. This system is equipped with a weather classification module based on the Gaussian Naïve Bayes (GNB) algorithm, which processes three main parameters: air temperature, air humidity, and rainfall, to determine four weather classes: sunny, partly cloudy, light rain, and heavy rain. The GNB model calculates the probability of each class based on the normal distribution of training data, producing fast predictions with low computational load, suitable for ESP32 devices. The sensors used show high accuracy: the BME280 sensor has an R² of 0.9599 for temperature and 0.9994 for humidity, the TSL2561 sensor has an R² of 0.9992, and the tipping bucket has an R² of 1. Weather classification accuracy using GNB reaches 100% based on the confusion matrix. This system provides an affordable and reliable weather monitoring solution for areas not yet covered by commercial weather stations.