Heart disease is one of the types of deadly diseases whose treatment must be dealt with as soon as possible because it can occur suddenly to the sufferer. Factors of heart disease that are recognized based on the condition of the body of a sufferer need to be known from an early age so that the risk of possible instant attacks can be minimized or can be overcome in various ways such as a healthy lifestyle and regular exercise that can regulate heart health in the body. By looking at the condition of a person's body based on sex, blood pressure, age, whether or not a smoker and some indicators that cause a person's affected by heart disease are described in a study using the Neural Network and Naïve Bayes algorithm with the aim of comparing the level of accuracy to attributes influential to predict heart disease, so the results of this study can be used as a reference to predict whether a person has heart disease or not based on health data used as research benchmarks.
Pengelolaan administrasi kependudukan perlu dilakukan dengan baik, karena data kependudukan merupakan sumber statistik dasar dalam pengambilan berbagai kebijakan. Sistem administrasi kependudukan yang tidak dikelola dengan baik menghasilkan laporan data penduduk yang tidak akurat, sehingga dapat menimbulkan berbagai permasalahan bagi negara dan warga masyarakat itu sendiri. Penggunaan komputerisasi pada sistem administrasi kependudukan di Kecamatan Purbaratu Kota Tasikmalaya belum optimal karena hanya menggunakan Ms. Excel. Hal ini menyebabkan masih ditemukannya redudansi data, lamanya proses pencarian data penduduk serta perubahan data yang tidak sesuai. Penelitian ini bertujuan untuk mengembangkan sistem informasi administrasi kependudukan yang dapat mengelola penduduk yang lahir, pindah datang, meninggal dan pindah keluar menggunakan aplikasi berbasis website pada tingkat kecamatan. Pengembangan sistem menggunakan metode waterfall dengan pemodelan sistem menggunakan Unifield Modelling Language. Penelitian ini menghasilkan sistem informasi administrasi kependudukan yang dapat mengelola data penduduk dengan baik.
Hill cipher is a cryptographic algorithm that uses matrix as a key by utilizing modulo operations. The key matrix used is usually made randomly as a square matrix. In this study, a key matrix was created using the Playfair Cipher algorithm as a rectangular matrix. The use of the Playfair Cipher algorithm makes it easy for users to remember key matrices, while remaining safe when distributed. Beside the key matrix security, use of a rectangular key matrix produces a longer and more complicated ciphertext to find the linear equation.
Kartu Keluarga Sejahtera (KKS) is one of the government's programs to accelerate poverty reduction as stated in Presidential Regulation (Perpres) number 166 of 2014. Kartu Keluarga Sejahtera (KKS) functions as a marker for underprivileged people and also as an identity card to get the Prosperous Family Savings Program. However, sometimes KKS assistance is not on target. This is because the assessment of prospective recipients of KKS assistance is subjective and the selection process is quite slow. This research was conducted with the aim of designing a web-based decision support information system using the TOPSIS (Technique For Order Of Preference by Similarity To Ideal) method in the process of selecting prospective recipients of KKS assistance. The result of this research is an information system that can produce a sequence of KKS aid recipients as a consideration in determining the recipients of KKS assistance. With this information system, data processing can be done quickly, accurately and the process of assessing potential recipients of KKS assistance becomes more objective.Keywords: Topsis Method, Decision Support System, KKSAbstrak: Kartu Keluarga Sejahtera (KKS) merupakan salah satu program pemerintah dalam percepatan penanggulangan kemiskinan yang tercantum dalam Peraturan Presiden (Perpres) nomor 166 tahun 2014. Kartu Keluarga Sejahtera (KKS) berfungsi sebagai penanda masyarakat kurang mampu dan juga sebagai kartu identitas untuk mendapatkan Program Simpan Keluarga Sejahtera. Namun terkadang bantuan KKS kurang tepat sasaran. Hal ini disebabkan karena penilaian calon penerima bantuan Kartu Keluarga Sejahtera (KKS) bersifat subjektif serta proses penyeleksian berjalan cukup lambat. Penelitian ini dilakukan dengan tujuan untuk merancang sistem informasi pendukung keputusan berbasis web dengan menggunakan metode TOPSIS (Technique For Order Of Preference by Similarity To Ideal) pada proses penyeleksian calon penerima bantuan KKS. Hasil dari penelitian ini adalah sebuah sistem informasi yang dapat menghasilkan urutan calon penerima bantuan KKS sebagai bahan pertimbangan dalam menentukan penerima bantuan KKS. Dengan adanya sistem informasi ini, pengolahan data dapat dilakukan secara cepat, tepat dan proses penilaian calon penerima bantuan KKS menjadi lebih objektif.Kata kunci: Metode Topsis, Sistem Pendukung Keputusan, KKS
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