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All Journal Pillar of Physics: Jurnal Berkala Ilmiah Fisika
Yulkifli, Y
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Earth & Planetary Sciences Materials Science & Nanotechnology Physics

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 1 
Energy Efficieny of Electric Knapsack Type Sprayer Powered by Solar Panel 20 WP Falefi, Rifai; Mairizwan, M; Yulkifli, Y
PILLAR OF PHYSICS Vol 17, No 1 (2024)
Publisher : Department of Physics – Universitas Negeri Padang UNP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/15389171074

Abstract

Indonesia, as an agricultural country that relies on the agricultural sector as a source of livelihood, is increasingly providing quality human resources to encourage progress in the agricultural sector. In an effort to advance the agricultural sector, various aspects need to be improved, one of which is the quality of even spraying of plant seeds. Therefore, the development of sprayers is a very relevant innovation. A sprayer is used by farmers to control pests and plant diseases. A sprayer is one of the agricultural equipment used by farmers to spray pesticides on plants to eradicate pests. The development of solar-powered sprayers has an impact on the environment and is a substitute for renewable energy. Then a test was carried out between the power produced by the solar panels and the power used by the pump. The first measurement was carried out and produced power on the solar panels with a total power of 1874.27 watts. The power used in the pump DC is 882.54 watts. Based on the power produced by the panel and the output of the sprayer, with a 20 wp solar panel in sunny conditions, you do not need a battery to drive the sprayer, but a battery is needed when the weather conditions are cloudy
The use of Electronic Nose in Machine Learning-Based of Jengkol (Archidendron Pauchiflorum) Andkabauseeds (Archidendron Bubalinum) Authentication Mustika, Dian Putri; Darvina, Yenni; Yulkifli, Y; Triyana, Kuwat
PILLAR OF PHYSICS Vol 18, No 1 (2025)
Publisher : Department of Physics – Universitas Negeri Padang UNP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/16783171074

Abstract

This research is based on the fact that this difference in economic value can create a potential motive for counterffeiting, although to date there has been no concrete evidence that counterfeiting between these two types of seeds has occurred. Basically, however, jengkol and kabau are also quite similar physically, especially when they are chopped, making it difficult to distinguish them visually even though they have different odors. The sample preparation tools used are digital scales and knives. While the data collection tools used are electronic nose, personal computer, data logger, usb, drain pump, teflon hose, 100 ml beaker, and acrylic box. The materials used are jengkol and kabau seeds.The method used is experimental, where jengkol and kabau are put into a glass beaker which will be tested using an enose connected using a teflon hose and the output results are seen in the data logger.The model used is support vector machine. The performance of the external test data on the SVM model with RBF kernel can be seen in Figure 9. It can be seen that out of 200 data, there are 2 data that are misclassified. Where from the confution matrices, the accuracy is 99.00, Recall_0 is 99.00, and Recall_1 is 99.00. This shows that the model that has been developed remains stable despite changes in the retrieval method and by being carried out in different weeks.
Maximum Power Point Tracking Solar Charge Controller Based on Internet of Things with Smartphone Display Ushalli, Muhammad Ajriy; Yulkifli, Y; Mairizwan, M; Anshari, Rio
PILLAR OF PHYSICS Vol 16, No 1 (2023)
Publisher : Department of Physics – Universitas Negeri Padang UNP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/13584171074

Abstract

Electrical energy is a very important thing in life, but the main source at this time is still using limited materials. The solution to this problem requires renewable energy as an alternative source. This research discusses solutions with the use of solar cells. Harvesting of solar cell power is carried out using a Maximum Power Point Tracking (MPPT) based on Internet of Things (IoT). This research is classified as development research. The purpose of this research is the performance specification and design specifications. The data obtained in this study are comparisons of MPPT data and not using MPPT, and also accuracy and precision data of the instrument. Data collection was carried out on August 7, 2022 at 10.00 WIB - 16.00 WIB. In the study, it was found that the power harvested using the MPPT system was much better than without using the MPPT system. The system performance specifications are built with various electronic components and microcontrollers, all components are included in a box measuring 20cm x 15cm x 9cm. design specifications obtained an good data with MPPT based on IoT. The value of accuracy instrument is obtained 93,87% and the precision value of the instrument is obtained 94,944%. And also obtained good data transfer capabilities from the instrument, so that data transfer can be done continuously. with the method used, the research went well and in line with expectations
Smart Garden System Based on Internet of Things using NodeMCU ESP8266 Mukhlis, Waldy; Yohandri, Y; Yulkifli, Y; Mairizwan, M
PILLAR OF PHYSICS Vol 16, No 2 (2023)
Publisher : Department of Physics – Universitas Negeri Padang UNP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/13455171074

Abstract

Gardening is an agricultural sector that requires control and monitoring of work. However, the management and monitoring are still done manually. Therefore, we developed an internet of the things-based smart garden to monitor and control plants. This study aims to determine the design and performance of the system. This research is a type of engineering research. The measurement technique is to measure directly by comparing air humidity, air temperature, soil moisture, and soil temperature with the standard tool. The indirect measurement is by analyzing the value of accuracy and precision of the instrument. The system uses a DHT11 sensor measuring air temperature and humidity, a soil moisture sensor, and a DS18B20 sensor to measure soil temperature. The device has nearly 100% accuracy in all parameters, especially in the range of 93.53% to 98.61%. Precision for all parameters of the selected devices is also close to 100% in the range of 98.6% to 99.8%. Based on these results, the design of the smart garden tool can work well
Design of Power Monitoring System for 2 Solar Panels Based on Thingspeak Hasanti, Widya Sukma; Mairizwan, M; Yulkifli, Y
PILLAR OF PHYSICS Vol 17, No 1 (2024)
Publisher : Department of Physics – Universitas Negeri Padang UNP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/15381171074

Abstract

Indonesia is one of the countries with large solar energy potential, namely around 3,294.4 GW recorded in 2022. However, solar energy utilization during 2022 is only 0.01%. Based on this problem, a research was carried out which aimed to combine the power produced by solar panels. This research emerged as a response to the need for energy efficiency and desires. With proper monitoring, solar panel owners can optimize their use of solar energy, reduce waste, and ensure that their solar panels are working at maximum capacity. This research is included in engineering research to determine the performance specifications and design specifications of the system that has been designed. Performance specifications cover a series of system electronic components and monitoring data displays displayed on Thingspeak. The design specifications in this research include sensor characterization, accuracy and precision of the Power Monitoring System For 2 Solar Panels Based On Thingspeak. From the results of the design specifications, the sensor used in the system has a high linearity value, good accuracy of 98.735% (voltage), 97.027% (current), and 97.994% (light intensity) and good accuracy of 99.905% (voltage), 99.549% (current), and 99.874% (light intensity).
Co-Authors Falefi, Rifai Hasanti, Widya Sukma Kuwat Triyana Mairizwan, M Mukhlis, Waldy Mustika, Dian Putri Rio Anshari, Rio Ushalli, Muhammad Ajriy Yenni Darvina Yohandri, Y