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Performance Analysis of Weather Forecasting using Machine Learning Algorithms (Analisis Performansi Prakiraan Cuaca Menggunakan Algoritma Machine Learning) Indo Intan; Rismayani Rismayani; St. Aminah Dinayati Ghani; Nurdin Nurdin; Aswar TC. Koswara
Jurnal Pekommas Vol 6, No 2 (2021): Oktober 2021
Publisher : BBPSDMP KOMINFO MAKASSAR

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30818/jpkm.2021.2060221

Weather forecasting are very important in various fields of human life, including in big cities. The need for accurate weather forecasts will be effective and efficient in managing the quality of civilization flexibly. In many cases it is found that the results of weather forecasts in the same city differ depending on the radius. This of course requires a precise and accurate algorithm to determine it. The algorithm used is based on machine learning type of artificial neural network which compares backpropagation and bayessian regularization. The results obtained show that bayessian regularization outperforms backpropagation with the smallest MSE and the highest accuracy and the shortest computation time to determine sunny, cloudy, light rain and heavy rain forecasts. The unbalanced distribution of data causes fluctuations in the MSE calculation and accuracy. The addition of training will improve system performance which is indicated by a significant increase in accuracy. Likewise, decreasing the MSE can increase the accuracy of the system to reach the point of convergence. This is an indicator that the performance of Bayessian regularization is the recommended algorithm for forecasting weather in cities and their surroundings, even between provinces or between countries.

Water Circulation Monitoring System in The Vanname Shrimp Cultivation based on Internet of Thing Indo Intan; nfn Nurlina; Fitriaty Pangerang
Jurnal Pekommas Vol 5, No 2 (2020): Oktober 2020
Publisher : BBPSDMP KOMINFO MAKASSAR

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30818/jpkm.2020.2050209

The cultivation of vaname shrimp is a leading commodity because of several advantages. Some shrimp farmers still practice traditional cultivation which is less effective and efficient in terms of labor and costs. This research was conducted as a solution based on current technology to overcome this problem. The goal is as an alternative to combine microcontroller technology and the IoT so that real-time and objective information is produced when monitoring water circulation in the prototype of vannamei shrimp culture is carried out. The design method of water circulation monitoring hardware and software is adjusted to the needs of the input devices for the three sensors (temperature, pH, and salinity). Microcontroller data processing is sent via synchronization between the wireless sensor network and the web. The results obtained show that the speed of data transmission is in accordance with real-time conditions and is not significantly affected by distance problems, because IoT has brought distant ones closer. Monitoring information also shows the circulation process when the water quality changes from normal conditions. This monitoring can be developed on a broader scale so that it can be an alternative technology with direct benefits for vannamei shrimp farmers.

Performance Analysis of Weather Forecasting using Machine Learning Algorithms (Analisis Performansi Prakiraan Cuaca Menggunakan Algoritma Machine Learning) Indo Intan; Rismayani Rismayani; St. Aminah Dinayati Ghani; Nurdin Nurdin; Aswar TC. Koswara
Jurnal Pekommas Vol 6, No 2 (2021): Oktober 2021
Publisher : BBPSDMP KOMINFO MAKASSAR

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30818/jpkm.2021.2060221

Weather forecasting are very important in various fields of human life, including in big cities. The need for accurate weather forecasts will be effective and efficient in managing the quality of civilization flexibly. In many cases it is found that the results of weather forecasts in the same city differ depending on the radius. This of course requires a precise and accurate algorithm to determine it. The algorithm used is based on machine learning type of artificial neural network which compares backpropagation and bayessian regularization. The results obtained show that bayessian regularization outperforms backpropagation with the smallest MSE and the highest accuracy and the shortest computation time to determine sunny, cloudy, light rain and heavy rain forecasts. The unbalanced distribution of data causes fluctuations in the MSE calculation and accuracy. The addition of training will improve system performance which is indicated by a significant increase in accuracy. Likewise, decreasing the MSE can increase the accuracy of the system to reach the point of convergence. This is an indicator that the performance of Bayessian regularization is the recommended algorithm for forecasting weather in cities and their surroundings, even between provinces or between countries.

Water Circulation Monitoring System in The Vanname Shrimp Cultivation based on Internet of Thing Indo Intan; nfn Nurlina; Fitriaty Pangerang
Jurnal Pekommas Vol 5, No 2 (2020): Oktober 2020
Publisher : BBPSDMP KOMINFO MAKASSAR

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30818/jpkm.2020.2050209

The cultivation of vaname shrimp is a leading commodity because of several advantages. Some shrimp farmers still practice traditional cultivation which is less effective and efficient in terms of labor and costs. This research was conducted as a solution based on current technology to overcome this problem. The goal is as an alternative to combine microcontroller technology and the IoT so that real-time and objective information is produced when monitoring water circulation in the prototype of vannamei shrimp culture is carried out. The design method of water circulation monitoring hardware and software is adjusted to the needs of the input devices for the three sensors (temperature, pH, and salinity). Microcontroller data processing is sent via synchronization between the wireless sensor network and the web. The results obtained show that the speed of data transmission is in accordance with real-time conditions and is not significantly affected by distance problems, because IoT has brought distant ones closer. Monitoring information also shows the circulation process when the water quality changes from normal conditions. This monitoring can be developed on a broader scale so that it can be an alternative technology with direct benefits for vannamei shrimp farmers.

Water Circulation Monitoring System in The Vanname Shrimp Cultivation based on Internet of Thing Indo Intan; nfn Nurlina; Fitriaty Pangerang
Jurnal Pekommas Vol 5 No 2 (2020): October 2020
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30818/jpkm.2020.2050209

The cultivation of vaname shrimp is a leading commodity because of several advantages. Some shrimp farmers still practice traditional cultivation which is less effective and efficient in terms of labor and costs. This research was conducted as a solution based on current technology to overcome this problem. The goal is as an alternative to combine microcontroller technology and the IoT so that real-time and objective information is produced when monitoring water circulation in the prototype of vannamei shrimp culture is carried out. The design method of water circulation monitoring hardware and software is adjusted to the needs of the input devices for the three sensors (temperature, pH, and salinity). Microcontroller data processing is sent via synchronization between the wireless sensor network and the web. The results obtained show that the speed of data transmission is in accordance with real-time conditions and is not significantly affected by distance problems, because IoT has brought distant ones closer. Monitoring information also shows the circulation process when the water quality changes from normal conditions. This monitoring can be developed on a broader scale so that it can be an alternative technology with direct benefits for vannamei shrimp farmers.

Water Circulation Monitoring System in The Vanname Shrimp Cultivation based on Internet of Thing Indo Intan; nfn Nurlina; Fitriaty Pangerang
Jurnal Pekommas Vol 5 No 2 (2020): October 2020
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30818/jpkm.2020.2050209

The cultivation of vaname shrimp is a leading commodity because of several advantages. Some shrimp farmers still practice traditional cultivation which is less effective and efficient in terms of labor and costs. This research was conducted as a solution based on current technology to overcome this problem. The goal is as an alternative to combine microcontroller technology and the IoT so that real-time and objective information is produced when monitoring water circulation in the prototype of vannamei shrimp culture is carried out. The design method of water circulation monitoring hardware and software is adjusted to the needs of the input devices for the three sensors (temperature, pH, and salinity). Microcontroller data processing is sent via synchronization between the wireless sensor network and the web. The results obtained show that the speed of data transmission is in accordance with real-time conditions and is not significantly affected by distance problems, because IoT has brought distant ones closer. Monitoring information also shows the circulation process when the water quality changes from normal conditions. This monitoring can be developed on a broader scale so that it can be an alternative technology with direct benefits for vannamei shrimp farmers.

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