Authentication is needed to enhance and protect the system from vulnerabilities or weaknesses of the system. There are still many weaknesses in the use of traditional authentication methods such as PINs or passwords, such as being hacked. New methods such as system biometrics are used to deal with this problem. Biometric characteristics using retinal identification are unique and difficult to manipulate compared to other biometric characteristics such as iris or fingerprints because they are located behind the human eye thus they are difficult to reach by normal human vision. This study uses the characteristics of the retinal fundus image blood vessels that have been segmented for its features. The dataset used is sourced from the DRIVE dataset. The preprocessing stage is used to extract its features to produce an image of retinal blood vessel segmentation. The image resulting from the segmentation is carried out with a two-dimensional image transformation such as the process of rotation, enlargement, shifting, cutting, and reversing to increase the quantity of the sample of the retinal blood vessel segmentation image. The results of the image transformation resulted in 189 images divided with the details of the ratio of 80 % or 151 images as training data and 20 % or 38 images as validation data. The process of forming this research model uses the Convolutional Neural Network method. The model built during the training consists of 10 iterations and produces a model accuracy value of 98 %. The results of the model's accuracy value are used for the process of identifying individual retinas in the retinal biometric system.
One important part of the eye that is critical for processing visual information before it is sent through the optic nerve to the visual cortex is the retina. The retina of each individual has its own uniqueness that can be used as a characteristic feature in identifying, verifying, and authenticating. The traditional authentication process has various weaknesses such as forgetting the PIN code or losing the ID card used for obtaining system authentication. The results of extracted retinal blood vessels can be used as a feature in the formation of an individual identification system. In the imaging using a fundus camera, the retina's blood vessel has distinguishing shape and number of candidates from one human retina to another. In this research, researchers will develop an algorithm for extracting the retinal fundus image's blood vessels. The feature extraction is done by taking the fundus image feature which is the blood vessel as one of the unique characteristics in forming an individual identification system. The number of blood vessel candidates will then be calculated from the extracted blood vessel result. This research uses wavelet function by looking at the very complex texture of blood vessels using the approximation coefficient. The direction detail coefficient on the wavelet is also used to perform the extraction of retinal blood vessels where the structure of the retinal blood vessels in the fundus image is in all directions. The results of these blood vessel candidates will be used in further research to formulate a biometric system that is formed by unique features in the retinal fundus image which will be used to identify individuals using body traits.
Financial technology (FinTech) as part of financial inlcussion changes conventional business models to be information technology minded. The presence of FinTech in the wider community makes it easy for access to financial service products and transactions and payment systems more practically, efficiently, and economically. Unfortunately, as the security risk in transacting increases, cyber security in the financial services industry and FinTech service providers is considered a major target by cybercriminals. This study proposed a security management approach through hybrid blockchain method implemented through flask framework and encryption to protect transaction data. The results are promising. Referring to accuracy, this study successfully reduces data leakage and misuse of personal data and financial data in FinTechs.
Penyebaran COVID-19 sangat cepat yang membuat pada tanggal 27 Februrari 2020, sudah menginfeksi 78630 orang di China dan 2747 orang lainnya meninggal dunia. Keberadaan COVID-19 di Indonesia sendiri pertama kali terkonfirmasi pada tanggal 2 Maret 2020. Pada penelitian ini, peneliti akan melakukan peramalan penyebaran COVID-19 di Indonesia menggunakan metode Random Forest Regression. Raw Dataset yang digunakan adalah dataset yang di dapat dari situs www.kaggle.com yang berisikan record sebanyak 10695 record yang dirangkum dari tanggal 1 Maret 2020 hingga 21 Januari 2021. Jumlah fitur yang dimiliki raw dataset sebanyak 37 fitur. Proses preprocessing pada penelitian ini terdiri dari konversi fitur, seleksi fitur dan mendapatkan fitur untuk model. Metode seleksi fitur yang digunakan adalah Recursive Feature Elimination yang berhasil menyeleksi fitur dari dataset yang tadinya berjumlah 37 menjadi 20 fitur. Pelatihan model menggunakan training set yang berjumlah 8555 record. Peramalan menggunakan model Random Forest Regression akan menggunakan validation set yang berjumlah 2139 record. Hasil perhitungan error pada model Random Forest Regression tidak besar, yaitu sebesar 6.477 untuk peramalan New Cases, dan 0.2469 untuk peramalan New Deaths yang artinya hasil nilai yang diramalkan dengan nilai aktual tidak berbeda jauh.
Breastfeeding is the optimal way to meet nutritional needs for infant growth, and is an ideal source of nutrition containing antibody substances to protect babies from various infections, viruses and fungi. Many failures in breastfeeding are caused by several factors, one of which is lack of breast milk production, maternal psychology and nutritional factors. Thus, it requires a method of knowledge about supporting techniques to facilitate breastfeeding in postpartum mothers. One of alternatives to facilitate breastfeeding is to do breast care using a method of combining neck massage and pectoralis major muscle massage. This study to determine the effect of combination of neck and pectoralis major muscle massage on the production of breast milk in postpartum mothers 1-3 days conducted at the Mandah Community Health Center. This Quasy experimental study used pre test and post design with control group. The population was all postpartum mothers at Mandah Community Health Center with a sample size of 20 taken by purposive sampling technique. The instrument was an observation on breast milk production. Data analysis using Mann Whitney testwith ap value of 0.003 <α 0.05, meaning that there was the effect of neck massage and pectoralis major muscle massage on the production of breast milk. There was the effect of the combination of neck massage and pectoralis major muscle massage on the production of breast milk in postpartum mothers 1-3 days. Midwives are expected to be able to disseminate and apply the combination method of neck massage and pectoralis major muscle massage as an alternative option to facilitate breastfeeding for postpartum mothers 1-3 days.
Kesehatan reproduksi adalah suatu keadaan sehat baik sistem, fungsi dan proses reproduksinya. Berdasarkan data pelecehan seksual berdasarkan wilayah Kota Bogor yaitu Tanah Sareal 11 korban, Bogor utara 7 korban, Bogor 2 korban, Bogor tengah 3 korban, Bogor selatan 1 korban kekerasan seksual. Tujuan adalah untuk mengetahui gambaran penerapan usaha kesehatan sekolah (UKS) dalam menyampaikan informasi kesehatan reproduksi terhadap pengetahuan dan sikap siswa di Sekolah Menengah Pertama (SMP) Bina Greha Kota Bogor. penelitian ini adalah penelitian kuantitatif, bersifat deskriptif analitik dan rancangan penelitian <em>cross sectional</em>. Populasi berjumlah 64 siswa, jumlah sampel yaitu 45 responden. Data penelitian ini diperoleh dari data primer dan dianalisis menggunakan Uji Univariat.
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