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All Journal Majalah Ilmiah Teknologi Elektro Majalah Ilmiah Teknologi Elektro
Ni Ketut Novia Nilasari
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Perbandingan Metode Median Filtering dengan CLAHE dalam Mengidentifikasi Koloni Bakteri Ni Ketut Novia Nilasari; Yoga Divayana; Rukmi Sari Hartati
Jurnal Teknologi Elektro Vol 21 No 1 (2022): (Januari - Juni) Majalah Ilmiah Teknologi Elektro
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2022.v21i01.P10

Abstract

Abstract— The exact estimation of the number of colonies or Colony Forming Units (CFUs) is frequently used in microbiology research, particularly in the field of bacteria. The number of colonies that develop per gram or milliliter of sample is estimated by multiplying the number of plates, the dilution factor, and the volume used [1]. Counting the number of bacterial colonies can be used to determine a bacterium's growth rate. The cup count method is commonly used to accomplish this manually. An instrument called a colony counter can help with colony counting utilizing the cup count method. This technology works by using a pen connected to a counter to mark the colonies that have been counted. However, because the colony size is tiny and the number of colonies counted is huge, this can lead to inaccuracies, and the same difficulties can happen with manual colony computations. Digital image processing technology has been extensively developed for use in a variety of fields. Researchers had previously undertaken a similar study that attempted to count bacterial colonies and had a 94 percent accuracy rate, but some colonies were not spotted because they were filtered during preprocessing, so they looked into it further. Keywords—Bacteria Colony, Image Processing, Preprocessing,
Prediksi Nilai Cryptocurrency Dengan Metode Bi-LSTM dan LSTM Ni Ketut Novia Nilasari; Made Sudarma; Nyoman Gunantara
Jurnal Teknologi Elektro Vol 22 No 2 (2023): (Juli - Desember) Majalah Ilmiah Teknologi Elektro
Publisher : Program Studi Magister Teknik Elektro Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2023.v22i02.P09

Abstract

The current rapid development of technology can facilitate all human activities, so that all aspects cannot be separated from technology, including the financial sector. With the development of technology, it is also accompanied by the introduction of various investment instruments. Every time you make an investment, of course there will always be various risks that come with it, including investing in cryptocurrencies, one of which is bitcoin. Unlike conventional currencies, bitcoin is not decentralized so that its price development is not under the supervision or control of any party, where as conventional money there is a certain institution that oversees and controls its movements. This causes the price of the exchange rate of bitcoin to be inconsistent or unstable. With the prediction method, bitcoin users can determine the right time to carry out transactions. This study aims to predict bitcoin prices using the LSTM and Bi-LSTM methods. Based on the research results, the best prediction results were obtained using the Bi-LSTM method with an RMSE of 1482.73 whereas with LSTM it produces an RMSE of 1768.69 so that it can be concluded from an accuracy perspective that Bi-LSTM gives more accurate results but with Bi-LSTM it requires more resources.
Perbandingan Metode Median Filtering dengan CLAHE dalam Mengidentifikasi Koloni Bakteri Ni Ketut Novia Nilasari; Yoga Divayana; Rukmi Sari Hartati
Jurnal Teknologi Elektro Vol 21 No 1 (2022): (Januari - Juni) Majalah Ilmiah Teknologi Elektro
Publisher : Program Studi Magister Teknik Elektro Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2022.v21i01.P10

Abstract

Abstract— The exact estimation of the number of colonies or Colony Forming Units (CFUs) is frequently used in microbiology research, particularly in the field of bacteria. The number of colonies that develop per gram or milliliter of sample is estimated by multiplying the number of plates, the dilution factor, and the volume used [1]. Counting the number of bacterial colonies can be used to determine a bacterium's growth rate. The cup count method is commonly used to accomplish this manually. An instrument called a colony counter can help with colony counting utilizing the cup count method. This technology works by using a pen connected to a counter to mark the colonies that have been counted. However, because the colony size is tiny and the number of colonies counted is huge, this can lead to inaccuracies, and the same difficulties can happen with manual colony computations. Digital image processing technology has been extensively developed for use in a variety of fields. Researchers had previously undertaken a similar study that attempted to count bacterial colonies and had a 94 percent accuracy rate, but some colonies were not spotted because they were filtered during preprocessing, so they looked into it further. Keywords—Bacteria Colony, Image Processing, Preprocessing,
Co-Authors I Nyoman Gunantara Made Sudarma Rukmi Sari Hartati Yoga Divayana