Claim Missing Document
Check
Articles

Found 4 Documents
Search

Prototype of Automatic Waste Object Picking Robotic Arm in the Working Room Ari Yudha Putra Pratama; Nina Paramytha IS
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 20, No 2 (2023): June 2023
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v20i2.22111

Abstract

A robotic arm or robotic arm is a mechanical robot that resembles a human arm programmed with functions similar to a human arm. Robotic arms are widely used in today's modern industrial world. But not many use robotic arms for purposes outside the industrial world. Robots can also be useful for the environment around us, for example, for collecting trash in the workspace. From these problems, the researcher aims to create a prototype tool for a robotic arm that automatically collects garbage objects in the workspace which has several components such as a no-touch sensor to read other sensor data, an ultrasonic sensor to read garbage objects in front of the robotic arm, a proximity sensor to function as a navigation arm. A moving robot, a load cell sensor to determine the weight of a trash object, and a 16x2 LCD to determine the battery percentage, and if the object exceeds a predetermined weight, which is less than 200 grams and functions for a temporary full trash box, the indicator is in the form of a sound buzzer that will sound.  This prototype tool can help employees clean their rooms and collect trash at work to make the workspace cleaner and more organized.
DESIGN AND DEVELOPMENT OF AN AUTOMATION AND PUMP TIMER SYSTEM FOR AEROPONICS Salamun Trisna Nurohhim; Arman Meiranda; Nina Paramytha Is
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 6 No. 4 (2026): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.21897282

Abstract

This study aims to design an automation and timer system for aeroponic pumps in the cultivation of currant tomatoes (Solanum pimpinellifolium) to improve energy efficiency and optimize nutrient delivery. The system was designed using an Arduino Nano microcontroller integrated with the RTC DS3231 module as a pump operational time controller, TDS Meter sensor to monitor dissolved nutrient concentration, and pH Meter sensor to measure nutrient solution acidity level. Testing was conducted for 14 days to evaluate sensor performance in responding to predetermined setpoints. The results showed that the implementation of the timer system resulted in energy savings of 83% compared to the system without a timer, where energy consumption decreased from 11.62 kWh to 1.93 kWh per day. TDS Meter and pH Meter sensors were able to consistently monitor nutrient parameters with values approaching optimal setpoints. The RTC DS3231 module functioned optimally in controlling the pump operational cycle without experiencing time reading errors. The designed system proved effective in improving energy efficiency and maintaining stable plant growth environment conditions, making it suitable for implementation as an automation-based aeroponic system.
Rancang Bangun Sistem Penyiraman Tanaman Otomatis Berbasis Energi Surya untuk Mendukung Pertanian Ramah Lingkungan Muhammad Faiz; Edy Irawansyah; Nina Paramytha IS
Aksi Kita: Jurnal Pengabdian kepada Masyarakat Vol. 1 No. 6 (2025): NOVEMBER-DESEMBER
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/z3gxtn45

Abstract

Kegiatan ini tentang penerapan sensor kelembapan tanah, sensor hujan, LDR, dan sistem kontrol menggunakan mikrokontroler Arduino serta relay untuk mengatur pompa air, Pemrograman logika kerja sistem dan pengolahan data sensor secara otomatis dan prinsip efisiensi energi dan pengelolaan sumber daya air berbasis data lingkungan. Tahap pelaksanaan kegiatan ini mencakup seluruh proses mulai dari penemuan ide karya inovatif, karakterisasi produk, desain teknis, hingga tahap produksi dan pengujian prototipe secara langsung. Setiap langkah dirancang untuk menghasilkan sistem penyiraman otomatis yang fungsional, aplikatif, dan dapat diterapkan secara nyata di lingkungan rumah atau lahan pertanian kecil, khususnya di Desa Tanjung Lago.
Pengembangan Sistem Presensi Cerdas Multimodal Berbasis Integrasi Fingerprint, ESP32-CAM, dan Time-of-Flight (ToF) Muthia Ananda; Endah Fitriani; Nina Paramytha IS; Leon A. Abdillah
Jurnal Elektronika dan Teknik Informatika Terapan ( JENTIK ) Vol. 4 No. 3 (2026): September: Jurnal Elektronika dan Teknik Informatika Terapan ( JENTIK )
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jentik.v4i3.1577

Abstract

Conventional student attendance at SD Negeri 182 Palembang requires manual classroom monitoring by teachers, which can consume instructional time and is vulnerable to recording errors. This study develops an autonomous attendance prototype that integrates an AS608 fingerprint sensor, ESP32-CAM face capture, and a VL53L0X Time-of-Flight (ToF) distance sensor, with Sugeno fuzzy logic as the decision mechanism and Google Sheets as the cloud-based attendance log. The system was designed using an ESP32-CAM as the main controller, C++ programming through Arduino IDE, an LCD 16×2 I2C as the local interface, and physical buttons for IN, OUT, and MENU operations. Testing was conducted on 28 fifth-grade students at SD Negeri 182 Palembang. The evaluation covered hardware operating voltage, fingerprint enrollment, ToF distance validation, end-to-end IN/OUT attendance simulation, and cloud data transmission. The enrollment test successfully registered all 28 students, giving a 100% enrollment success rate. The ToF gate successfully detected students at an ideal distance of up to 30 cm and rejected positions beyond the threshold. In attendance simulation, the average successful attendance rate was 64.29%, consisting of 75.00% for IN and 53.57% for OUT. The main failures were associated with fingerprint reading conditions, including wet, sweaty, dirty, dry, or shifted finger placement. Attendance records containing student ID, name, timestamp, IN/OUT status, and face-capture data were transmitted to Google Sheets through Google Apps Script. The study demonstrates that the proposed multi-sensor architecture can automate attendance recording and centralize attendance data, although biometric robustness and longer-duration testing remain necessary for further improvement.