Kurangnya media pembelajaran sehingga siswa kurang mampu memahami materi pembelajaran secara maksimal. Penelitian ini bertujuan untuk mengambarkan rancang bangun dan validitas pengembangan media pembelajaran multimedia interaktif pada kelas IV SD muatan. Penelitian ini dikembangkan menggunakan model pengembangan Hannafin and Peck yang meliputi tiga tahapan, yaitu (a) penilaian kebutuhan, (b) desain/perancangan, (c) pengembangan dan implementasi. Subjek penelitian berjumlah 9 orang peserta didik kelas IV. Metode pengumpulan data yang digunakan adalah observasi, wawancara, dan angket. Instrumen penelitian terdiri dari lembar angket penilaian produk. Teknik analisis data yaitu analisis deskriptif kualitatif dan deskriptif kuantitatif. Tahap pengujian kelayakan media ini dilakukan dengan cara validasi produk oleh pakar. Hasil penelitian menunjukkan bahwa nilai validitas produk dengan kategori sangat baik dengan: (a) Hasil review ahli isi mata pelajaran menunjukkan hasil sangat baik (92,8%), (b) Hasil review ahli desain pembelajaran dengan hasil sangat baik (92,8%), (c) Hasil review ahli media pembelajaran menunjukkan hasil sangat baik (93,1%), (d) Hasil uji coba perorangan sangat baik (94,2%), hasil uji coba kelompok kecil dengan hasil baik (89,75%). Implikasi penelitian ini dapat mrmbuat siswa menjadi tertarik dengan materi yang diberikan. Berdasarkan hasil yang diperoleh dapat disimpulkan bahwa media pembelajaran multimedia interaktif ini sangat baik digunakan dalam proses pembelajaran.
In the digital era, changing human habits, one of the changing habits is in applying for someone's job. Before the digital era, applying for a job by sending an application to the address of the destination company. In the digital era, as now, applying for jobs can be done boldly, and sent in softcopy. This softcopy file forms a digital image that can be easily manipulated. How would it be difficult for the receiving committee to determine the original file with the manipulated a file. With the existing questions, we need a technique that can be used to request the originality of the job application file. One technique that can be used is the hash function that exists in cryptography. The hash function is a one-way function that can be used to find a message. If applied to digital images, the originality of the image can be recognized. The algorithm in the hash function used is Secure Hash Algorithm 256 (SHA256) until now this algorithm cannot be solved by cryptanalysts. By applying the Secure Hash Algorithm 256 algorithm, it will make it easier and faster to access the originality of digital images.
Cryptography is used to maintain the security of content or information that is personal from anyone except those who have the authority or secret key to open the information that has been encoded. Along with the development of technology and computers now, the increase in computer crime has also increased, especially in image manipulation. Many methods are used and carried out by people to manipulate images that have a detrimental effect on others. The originality of a digital image is the authenticity of the image in terms of colors, shapes, objects and information without the slightest change from the other party. Nowadays many digital images circulating on the internet have been manipulated and even images have been used for material fraud in the competition, so we need a method that can detect the image is authentic or fake like a diploma.In this study, the authors used the SHA-384 method to detect the originality of digital images, using this method an image that is still doubtful of its authenticity can be found out that the image is authentic or fake.Keywords: Originality, Citra, SHA-384
Cryptography is used to protect the contents of information from anyone except those who have the authority or secret key to open information that has been encoded. Along with the development of technology and computers, the increase in computer crime has also increased, especially in image manipulation. There are many ways that people use to manipulate images that have a detrimental effect on others. The originality of a digital image is the authenticity of the image in terms of colors, shapes, objects and information without the slightest change from the other party. Nowadays many digital images circulating on the internet have been manipulated and even images have been used for material fraud in the competition, so we need a method that can detect the image is genuine or fake. In this study, the authors used the MD4 and SHA-384 methods to detect the originality of digital images, by using this method an image of doubtful authenticity can be found out that the image is authentic or fake.Keywords: Originality, Image, MD4 and SHA-384
AbstrakPenajaman citra street view memerlukan tingkat kecerahan dalam proses penajaman citra dari hasil citra semula kecitra yang telah diperbaiki. Salah satu penajaman citra street view tersebut adalah pengolahan citra. Pengolahan citra adalah salah satu komponen multimedia yang memegang peranan penting sebagai bentuk informasi visual. Ada banyak metode pengolahan citra yang digunakan dalam mempertajam citra street view salah satunya adalah Metode Gram Schmidt Spectral Sharpening dan High Pass Filtering. Metode Gram Schmidt Spectral Sharpening adalah metode yang memiliki nama lain modulasi intensitas berbasis filter penghalusan (Smoothing Filter-based Intensity Modulation). Sedangkan metode Hihg Pass Filtering adalah proses filter yang mengambil citra dengan gradiasi intensitas yang tinggi dan perbedaan intensitas yang rendah akan dikurangi atau dibuang . Hasil penelitian menunjukkan bahwa Metode Gram Schmidt Spectral Sharpening dan High Pass Filtering dapat diimplementasikan dengan baik sehingga penajaman citra street view dapat dijamin penajamannya dengan melakukan perubahan dari gambar asli kehasil gambar dengan menggunakan Metode Gram Schmidt Spectral Sharpening dan High Pass Filtering. AbstractSharpening the image of the road display requies a degree of brightness in the process of sharpening the image from the original image result of the improved image. One of the sharpening of the street view image is image processing. Image processing is one of the multimedia components that plays an important role as a form of visual information. There are many image processing methods that are used in sharpening the image of street views, one of them is the gram schmidt spectral sharpening method and high p ass filtering. Gram schmidt spectral sharpening method is method that has another name for intensity modulation based on a refinement fillter. While the high pass filtering method is a filter process that btakes image with high intensity gradients and low intensity difference that will be reduced or discarded. Researce result show that the gram schmidt spectral sharpening method and high pass filtering can be implemented properly so that the sharpening of the street view image can be guaranteed sharpening by making changes frome the original image to the image using the gram schmidt spectral sharpening method and high pass filtering.
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