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All Journal Journal of Energy, Material, and Instrumentation Technology

Junaidi Junaidi

Departement of Physics, University of Lampung, Indonesia, 35141

Author-ID : 3389685

Control & Systems Engineering Electrical & Electronics Engineering Energy Materials Science & Nanotechnology Physics

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Articles

Simulasi Dinamika Molekul Berbasis Kode LAMMPS untuk Mengkaji Titik Leleh Bahan Besi (Fe), Timbal (Pb) dan Aluminium (Al) Piana Hartina; Sri Wahyu Suciyati; Amir Supriyanto; Junaidi Junaidi
Journal of Energy, Material, and Instrumentation Technology Vol 1 No 2 (2020): Journal of Energy, Material, and Instrumentation Technology
Publisher : Departement of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Telah dilakukan penelitian dengan tujuan memperoleh model simulasi dinamika molekul bahan Al, Fe, Pb terkait struktur kristal dan karakteristik bahan saat mencapai titik leleh. Metode simulasi titik leleh ini menggunakan simulasi dinamika molekul kode LAMMPS dengan mengunakan potensial Finnis-Sinclair EAM dan menggunakan persamaan algoritma velocity-verlet. Analisis nilai titik leleh dilakukan berdasarkan grafik perubahan fase (padat-cair) antara nilai energi potensial dan suhu dari masing-masing bahan yang diperoleh dari output LAMMPS. Hasil output LAMMPS berisi data posisi atom-atom dalam format XYZ, dan juga diperoleh informasi berupa step integrasi, energi potensial, suhu, volume, dan tekanan. Hasil visualisasi terlihat bahwa struktur kristal aluminium mencapai titik leleh saat suhu 948,51°C, timbal mencapai titik leleh saat suhu 952,92°C, besi mencapai titik leleh saat suhu 1521,25°C. Visualisasi struktur kristal bahan saat mencapai titik leleh menggunakan software OVITO dan untuk menganalisis karakteristik stuktur kristal bahan dengan kurva fungsi distribusi radial mengunakan software ISAACS.

Monitoring Data Perubahan Suhu, CO dan CO2 Secara Real Time Menggunakan MySQL Randi Setiawan; Warsito Warsito; Junaidi Junaidi; Sri Wahyu Suciyati
Journal of Energy, Material, and Instrumentation Technology Vol 1 No 2 (2020): Journal of Energy, Material, and Instrumentation Technology
Publisher : Departement of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

This research is related to making a system to display data on temperature changes, CO, and CO2 monitoring results in real time make use of MySQL. The measuring instrument used consisted of an MQ-7 sensor to detect CO gas, a MQ-135 sensor to detect CO2 gas, a DHT-22 sensor to measure the temperature and a microcontroller as a control system. Measurement data is displayed on the PC server using an interface created through the Visual Basic 2010 program and saved to the Mysql database. In this research, a baudrate of 19200 bps was used so that data transmission could be faster so that it supported realtime data transmission. Based on the research, it was found that the greater the boudrate value used, the faster time it takes to send data. In this study, a baudrate of 19200 bps was used so that data transmission could be faster so that it supported realtime data transmission. Based on the research, it was found that the greater the boltrate value used, the faster time it takes to send data. Based on the results of tests conducted, MySQL monitoring system is running well. The MySQL can display data on temperature changes, CO, and CO2 measurement data in the form of tables in real time.

Sistem Identifikasi Tingkat Kematangan Buah Nanas Secara Non-Destruktif Berbasis Computer Vision Nevalen Aginda Prasetyo; Arif Surtono; Junaidi Junaidi; Gurum Ahmad Pauzi
Journal of Energy, Material, and Instrumentation Technology Vol 2 No 1 (2021): Journal of Energy, Material, and Instrumentation Technology
Publisher : Departement of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

A computer vision-based non-destructive pineapple maturity level identification system has been realized. This research was conducted to create a system capable of identifying six indexes of pineapple maturity level. An artificial neural network is used as a classifier for the level of maturity pineapples. Artificial neural network input is a statistical parameter consisting of mean, standard deviation, variance, kurtosis, and skewness of RGB and HSV color models pineapple images. Statistical parameters of the color model with a Pearson correlation value greater than 0.5 were used to characterize pineapple images. A total of 360 pineapple images were used in the training process with a percentage of 75% of training data and 25% of validation data. An image segmentation process is applied to separate the pineapple image from the image background. The result of this research is a pineapple maturity level identification system consisting of software and hardware which is able to identify six indexes of pineapple maturity level with average accuracy value of 98,4%.

Rancang Bangun Purwarupa Pemilah Nanas Berdasarkan Tingkat Kematangan Menggunakan Mikrokontroler Blue Pill STM32F103C8T6 Friska Tiara Desy; Arif Surtono; Amir Supriyanto; Junaidi Junaidi
Journal of Energy, Material, and Instrumentation Technology Vol 1 No 3 (2020): Journal of Energy, Material, and Instrumentation Technology
Publisher : Departement of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

The research about a design of prototype automatic pineapple sorting has been done with a belt conveyor system using a Blue Pill STM32F103C8T6 microcontroller. This research was conducted to create a prototype that can sort pineapples based on maturity level by classified unripe, ripe, and fully ripe. Sorting pineapple against the pineapple ripeness classification was carried out by a simulation process using serial data of index maturity sent from the PC monitor serial to microcontroller via serial communication. The serial data sent in character format was an integer 1; 2; 3; 4; 5; 6; and 7. The conveyor using a chain with gear transmission system and a DC motor as a drive. The results showed that the instument is capable of carrying a maximum load of pineapple fruit of 1.0 kg with a transport speed of 27,98 cm/s and can perform pineapple ripeness sorting with an accuracy more than 90%.

Rancang Bangun Sistem Monitoring Kualitas Air Tambak Udang (Litopenaeus Vannamei) Menggunakan Wireless Sensor Sistem (WSS) yang Terintegrasi dengan PLC CPM1A Gurum Ahmad Pauzi; Okta Ferli Suryadi; Gregorius Nugroho Susanto; Junaidi Junaidi
Journal of Energy, Material, and Instrumentation Technology Vol 1 No 3 (2020): Journal of Energy, Material, and Instrumentation Technology
Publisher : Departement of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

The research about pH, salinity, dissolved oxygen, and temperature monitoring system using Arduino Uno integrated with PLC CPM1A for water quality control of shrimp farm litopenaeus vannamei had done. The system used pH meter kit Dfrobot sensor, salinity sensor, DS18B20 waterproof sensor, and analog dissolved oxygen sensor which was controlled by Arduino UNO. In order to calibrate the sensor, pH meter kit Dfrobot sensor was calibrated by using a buffer solution, salinity sensor was calibrated by refractometer, DS18B20 waterproof sensor was calibrated by HTC-02 thermometer, and an analog dissolved oxygen sensor was calibrated by DO meter YSI 55. The results showed that the sensors can detect pH, salinity, dissolved oxygen and temperature with accuracy 94.06%, 78.15%, 90.53% and 99.42% respectively. It is transmitted wireless by using the nRF24l01+ module. The furthest distance in the line of sigh test was 405 meters and in non-line of sigh was 163 meters. The measurement had done 3 times per day (morning, afternoon, evening) in 3 days. The relay also can be integrated with PLC CPM1A to control the wheel and water pump.

Co-Authors Amir Supriyanto Friska Tiara Desy Gurum Ahmad Pauzi Nevalen Aginda Prasetyo Okta Ferli Suryadi Piana Hartina Randi Setiawan Sri Wahyu Suciyati Surtono, Arif Susanto, Gregorius Nugroho Warsito Warsito

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