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AUTOMATIC DOOR SIMULATOR DESIGN BASED ON ARDUINO UNO USING PROTEUS SOFTWARE Rindi Wulandari
Journal of Green Science and Technology Vol 5 No 2 (2021): VOL 5, NO 2 (2021): JOURNAL OF SCIENCE AND TECHNOLOGY VOL. 5 NO. 2 SEPTEMBER 2021
Publisher : Faculty of Engineering, Universitas Swadaya Gunung Jati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33603/jgst.v5i2.5710

Abstract

In this pandemic era, doors in public places are one of the objects that can be an intermediary for the transmissionof the Covid-19 virus. That's why various kinds of developments in the field of technology are designed to provide an alternative in avoiding the transmission of the Covid-19 virus through doors in public places.The purpose of this study is to design an Arduino Uno-based automatic door simulator using Proteus software. The sensor used in this system is a PIR (Passive Infra Red) sensor. The way the system works is that when the PIR sensor detects someone's movement, the Data OUT Pin will be HIGH. Because this pin is connected to the Arduino, it will detect this HIGH Signal and detect that someone is approaching the door and will provide input to the DC motor, then the DC motor will move to the right or left to pull the door. From the simulation results, the delay between sensor readings and the movement of the DC motor is about 3 to 5 seconds.
DESIGN PROTOTYPE OF SMART DETECTOR ENVIRONMENT SYSTEM ON SEMICONDUCTOR DETECTOR STORAGE (HPGE) Rindi Wulandari
Journal of Green Science and Technology Vol 6 No 2 (2022): JOURNAL OF GREEN SCIENCE AND TECHNOLOGY VOL.6 NO.2 SEPTEMBER 2022
Publisher : Faculty of Engineering, Universitas Swadaya Gunung Jati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33603/jgst.v6i2.7067

Abstract

The HPGe detector is a device that should be cooled when used and can be operated at room temperature. For this reason, it is necessary to monitor the temperature and humidity in the HPGe detector storage area to produce optimal performance. This research was focused on designing a Smart Detector Environment System as a means of monitoring and automatic control of temperature and humidity in the HPGe detector storage. Temperature and humidity detection in the system was carried out by the DHT22 sensor connected to Arduino Uno and the motor driver module. Arduino uno gave the command "00000011" to detect the temperature in the chamber, and "00000101" to start the detection of humidity in the chamber, then the data generated by the DHT22 sensor would be displayed and processed by LabVIEW, which was used to move the fan to regulate the temperature and humidity in the system with the condition that the lamp on the chamber was left on (manual).  The results obtained were in the form of a design and automatic control of temperature and humidity monitoring and control in the HPGe detector storage whose temperature could be adjusted automatically according to the needs of the HPGe detector.
Analysis of Soil Heat Propagation Properties for Determining the Optimal Soil Type in Passive Photovoltaic Cooling Systems Abdurrohman Abdurrohman; Rindi Wulandari
Jurnal Ekonomi, Teknologi dan Bisnis Vol. 5 No. 4 (2026): Jurnal Ekonomi, Teknologi dan Bisnis
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/a0webg44

Abstract

Rising photovoltaic (PV) module operating temperature substantially reduces conversion efficiency, motivating passive, low-cost cooling strategies that avoid extra electrical energy consumption. Grounding-based passive cooling, using surrounding soil as a heat-dissipating medium, offers a promising alternative; however, prior studies have mostly characterized soil thermal properties in isolation rather than directly comparing soil types under a unified, real-time measurement protocol relevant to PV cooling. This study aims to analyze and compare the thermal conductivity of clay and coastal sandy soil as candidate passive-cooling media, while examining how moisture content and pH influence heat propagation. A quantitative experimental approach was employed using the Transient Line Heat Source (TLHS) technique, implemented through an ESP32 microcontroller integrated with a DS18B20 temperature sensor and a soil moisture/pH probe for automatic, real-time data acquisition. The system operated stably in an integrated manner, producing consistent temperature-time data for conductivity calculation. Results showed clay had an average thermal conductivity of 1.133 W/mK at 74.25% moisture content, while coastal sandy soil reached 1.595 W/mK at 81.25% moisture content, an increase of about 40.78%, indicating moisture content, alongside soil type, is a key determinant of heat propagation. These findings imply soils with higher natural moisture retention are more promising passive-cooling media, offering practical guidance for designing low-cost, energy-independent cooling solutions for tropical, ground-coupled PV installations.
Pelatihan Peningkatan Kompetensi AI Guru SD Melalui Pendekatan TPACK-AI Dian Putri; Maya Dewi Kurnia; Taryo; Muhamad Riyad Ariwibowo; Rindi Wulandari
KOMUNITA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 5 No 1 (2026): Februari
Publisher : PELITA NUSA TENGGARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60004/komunita.v5i1.422

Abstract

This community service program aimed to enhance elementary school teachers' competence in integrating Artificial Intelligence (AI) into their pedagogical practices through the TPACK-AI framework. Conducted at SD Mitra in Cirebon City from August to September 2025, the program involved 10 certified teachers (7 female, 3 male) through a 5-week structured intervention consisting of preparation, intensive training, guided implementation, and evaluation phases. Using a quasi-experimental pre-post test design, data were collected through validated competency assessments, classroom observations, digital portfolios, and focus group discussions. Results showed significant improvements across four competency dimensions: conceptual understanding (from M=62.4 to M=86.7), technical skills in operating AI platforms (from M=58.3 to M=88.2), digital content creation abilities (from M=54.6 to M=84.5), and pedagogical integration capacity (from M=51.2 to M=82.8). Participant satisfaction averaged 4.52/5.0, indicating high program effectiveness. However, challenges persisted including unstable internet access (30%), time constraints (40%), and limited institutional support (20%). The program demonstrated that structured, hands-on training combined with guided implementation effectively transforms teaching practices, contributing to national digital literacy efforts in education
ANALISIS KEBUTUHAN ENERGI DAN PENENTUAN KAPASITAS PANEL SURYA PADA SISTEM PENYIRAM OTOMATIS BERBASIS PERINTAH SUARA Ahmad Syahruli; Rindi Wulandari; Yusa Inderapermana; Eva Musyaerofah; Dangi
Jurnal Elektro Kontrol (ELKON) Vol. 6 No. 1 (2026): Jurnal ELKON
Publisher : Teknik Elektro Fakultas Teknik Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/elkon.v6i1.18051

Abstract

Sistem penyiram otomatis berbasis perintah suara mampu meningkatkan efisiensi penyiraman dibandingkan sistem konvensional. Penggunaan sistem penyiram otomatis berbasis perinrtah suara dengan sumber energi surya memerlukan perhitungan kebutuhan energi yang tepat agar kapasitas panel surya dan baterai sesuai dengan kebutuhan operasional sistem. Penelitian ini bertujuan menganalisis kebutuhan energi sistem penyiram otomatis berbasis perintah suara sebagai dasar menentukan rekomendasi kapasitas panel surya dan baterai. Metode penelitian yang digunakan adalah analisis kuantitatif dengan pendekatan rekayasa sistem melalui pengukuran konsumsi daya pada kondisi mode normal dan mode hemat daya. Hasil penelitian menunjukkan total kebutuhan energi harian sistem sebesar 24,9776 Wh. Penerapan mode hemat daya mampu mengurangi konsumsi energi sebesar 36,35% dibandingkan mode normal. Berdasarkan hasil analisis kebutuhan energi, konfigurasi yang direkomendasikan terdiri dari panel surya berkapasitas 10 Wp dan baterai LiFePO4 berkapasitas 6 Ah, dengan tegangan 12 V. Hasil penelitian menunjukkan bahwa analisis kebutuhan energi dapat digunakan sebagai dasar dalam menentukan spesifikasi sistem panel surya yang sesuai untuk mendukung pengoperasian sistem penyiram otomatis berbasis perintah suara.