35 research outputs found

    Abdimasn Sosialisasi Penganalan Komputer

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    Optimalisasi Validitas Pengujian Otentisitas dan Kredibilitas pada Forensik Foto Digital dengan Metode ACE-V

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    Terdapat berbagai macam teknik pengujian otentisitas dan kredibilitas foto yang digunakan pada forensik foto digital. Penelitian ini berusaha melakukan pengujian kinerja deteksi tiga teknik pengujian dalam forensik foto digital, yaitu: jpeg-ghost, histogram equalization-gamma correction, dan error level analysis (ELA) terhadap tiga kategori manipulasi foto digital, yaitu: splicing-duplicate, splicing-erase, serta copy-move. Prosedur Verification yang dipinjam dari metode ACE-V (bidang forensik identifikasi) diterapkan lewat penggunaan lebih dari satu teknik pengujian yang bertujuan menguji hipotesis yang didapat dari temuan hasil pengujian menggunakan salah satu teknik. Dengan demikian, prosedur Verification diharapkan dapat meningkatkan validitas hasil pengujian yang mampu mengungkap temuan yang relevan antar teknik pengujia

    ST+Realisasi DSN SD+TF 1A3

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    Surat Tugas+Realisasi DSN+Absensi DP-TF1A7

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    ST+Realisasi SD+Absensi TF1B1

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    ST+Realisasi DSN DP+Absensi TF1A6

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    Decision Tree-Based Weather Prediction

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    Weather is formed from a group of weather elements and can be changed fast. For example, in the morning, afternoon, or evening, the weather can be different for each place and every hour. Weather is the condition of the air that occurs in a narrow place and lasts for a short time. Weather conditions in a place can be determined by many factors, such as air pressure, humidity, wind, sunlight, and so on. Therefore, by looking at these factors it can be estimated the weather that will occur the next day. Fishermen and farmers are fields of work that are closely related to weather forecasting, accurate and fast weather predictions are needed by these fields to carry out various activities. The amount of rainfall that occurs cannot be determined exactly but can be predicted or estimated. The application of determining weather information is needed, hence, the prediction can be utilized optimally by the community. The design of a system that will classify automatically can be developed by applying machine learning methods, one of them is used in this study, i.e., C.4.5 Algorithm using weather data that a reference in determining the weather conditions whether not rainy, rainy, light rain, or heavy rain

    ST+Sertifikat

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    ST+Realisasi SD+Absensi TF1A5

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