Facial treatments or skincare treatments contained in beauty care are divided into two categories, namely home treatment (such as giving face soap, morning cream, night cream, etc.) and direct care (such as facials, chemical peels, and so on). Home treatment facials consist of a variety of care products. Each home treatment product has a specific function both for treating the face or fixing the skin on consumers' faces such as acne, black spots, blackheads, oily skin, and others. Therefore, in order to determine the right home treatment product for consumers, knowledge of the usefulness of a home treatment product is needed. One of the factors of trade problems that exist in Batam City, there are still many products that enter without knowing whether the product is safe or not to be used, especially for cosmetic or skincare products where many cosmetic products are not licensed by BPOM but can still be traded to the people of Batam City. Finding skincare cosmetics that are good for the community is very difficult, because too many skincare products are sold in the market that do not have a BPOM permit and it will be dangerous for people who use these products. It is also due to the absence of a recommendation from a doctor or a beautician, which causes the wrong or bad skincare selection and will have a bad impact on one's face. The purpose of this study was to make recommendations for the use of skincare products in Batam City. For this reason, through this research, the researcher intends to apply one of the data mining techniques with the naïve Bayes algorithm with software implementation using the Tanagra 4.1 software, where the results of this study can be used to see consumer buying patterns that have been neglected to increase product sales, and also see the decisions made to help recommendations for skincare use in Batam City.

Segmentasi citra sebagai bagian dari proses pengolahan citra, adalah kegiatan untuk membagi citra menjadi beberapa bagian atau region, yang bertujuan untuk mengisolasi atau menemukan suatu obyek di dalam citra. Beberapa pertumbuhan kemajuan teknologi baru membuka peluang bagi pengembangan lebih lanjut dalam bidang ini. Saat ini pengolahan citra mempunyai peranan yang sangat penting dalam berbagai bidang kehidupan. Segmentasi adalah proses pemisahan objek dengan latar belakangnya. Saat ini telah banyak dilakukan penelitian tentang segmentasi.Deteksi tepi merupakan suatu proses pencarian informasi tepi dari sebuah gambar. Deteksi tepi memiliki tujuan antara lain digunakan untuk menandai bagian yang menjadi detail dari sebuah gambar Ada banyak metode dalam melakukan segmentasi salah satunya adalah level-set menggunakan metode roberts, prewit sobel dan frei chan. Histogram citra digunakan untuk mengetahui intensitas dan kontras suatu citra, timing run digunakan untuk mengetahui lamanya suatu proses citra, dan SNR (Signal to Noise Ratio) yang digunakan untuk mengetahui kualitas citra. Pengujian dilakukan dengan melakukan uji coba terhadap Objek citra dan selanjutnya dilakukan analisis citra.Metode Sobel dan Prewitt memiliki proses komputasi yang lebih lebih sedikit jika dibandingkan. Secara umum algoritma segmentasi citra didasarkan pada satu dari dua property nilai intensitas yaitu mendeteksi diskontinuitas atau mendeteksi similaritas. Dari hasil penelitian ini didapat kesimpulan sebagai berikut:metode segmentasi yang paling tajam hasilnya yaitu menggunakan Operator Freichen, karena dari sudut pandang horizontal dan sudut pandang Vertikal sama sama menghasilkan hasil yang bagus, Dari hasil pembahasan untuk jenis operator yang paling baik adalah operator Robert, Hasil deteksi pada operator sobel lebih bagus atau tegas dibandingkan dengan operator Robert dan prewitt. Operator Sobel lebih sensitif terhadap tepi diagonal daripada tepi vertikal dan horizontal  Hal ini berbeda dengan operator Prewitt, yang lebih sensitif terhadap tepi vertikal dan horizontal.

This study aims to improve the image or image by eliminating noise in the color image that is converted to gray images with a number of pixel intensities of 0 to 255 using the pixel neighboring method. Pixel neighbor types used in the test include boundary filters, uniform filters and median filters. While noise added to the original image is salt noise and pepper and gaussian with a value of p = 0.01. From the results of this study, it can be seen how much interference can be corrected by using a type of neighboring pixel filter, with the amount of improvement including reducing noise, softening noise and eliminating noise. From the results of the tests carried out with the help of the octave 3.4.3 program, it can be seen that the boundary filter aims to prevent pixels whose intensity outside the intensity of neighboring pixels with white spots on the image can be removed. However, if you pay close attention, the operation also blurs the image, while in the equalization filter the processing effect with the alignment filter. Compared to the limit filter, the processing of the uniform filter does not eliminate white spots on the image of the car, but only slightly disguises the image, while in median filter The results show that noise can be removed, but the details on the image are retained. However, this is of course obtained with the added computational burden of "sorting".

-Citra digital merupakan gambaran yang jelas dari objek yang dapat diolah dengan komputer. Semakin besar ukuran (pixel) citra akan membutuhkan tempat penyimpanan yang besar pula. Dasar pengolahan citra yang dilakukan dalam penelitian ini terletak pada proses segmentasi pengolahan citra. Hal yang perlu dipertimbangkan adalah objek dari citra abu abu yang akan diidentifikasi. Proses pengolahan citra melibatkan beberapa proses mulai dari akuisisi citra, preprocessing dan proses pengolahan citra sampai hasilnya. Preprocessing dilakukan untuk proses segmentasi yaitu dengan mengubah citra menjadi citra grayscale, dan kemudian diubah menjadi citra hitam putih. Dalam setiap proses dilakukan padding haar untuk mengurangi ukuran (size on disk) dengan matriks Ukuran 8x8. Dan juga dilakukan proses dilasi dan opening untuk membuat objek terlihat jelas sertamenghaluskan permukaan untuk menghilangkan noise. Nilai GCE dan MSE yang dihasilkan dari ketiga ekstensi tersebut juga relatif kecil, mendekati 0. Ini menandakan citra hasil segmentasi memiliki nilai kesamaan yang yang besar dengan citra aslinya. Setelah dilakukan Analisa perbandingan maka dapat diambil kesimpulan citra yang paling berkualitas

Learning is a human effort in understanding basic knowledge. The learning process must meet the interactive, fun, and give students the ability to develop creativity. Interesting learning media must be applied. Human organ material is course that is not easy to understand, if you use books as a literature review. Human organ material is only limited to print media such as presentation, and books. This learning leads to a less interactive understanding, and is too monotonous, as well as learning becomes bored. Augmented reality is a medium that connects the virtual world with the real world. Augmented reality is used to facilitate learning by providing information virtually, not only used for the environment, but combining two-dimensional or three-dimensional virtual then projected into an object in real time. Augmented reality uses the android-based Marker Based Tracking method. Application creation using tools such as Unity, Vuforia, Blender. The system design method uses the System Development Life Cycle (SDLC) method or the waterfall method. The purpose of this study is the formation of an android-based augmented reality application as an interesting and more interactive learning medium for users