Biometric identification is one of the media on the operation of the system of home automation are much sought after.This is because conventional identification such as the use of your PIN, password, and a key card is already not enough reliable, in terms of security and how to operate.Biometrics is essentially an introduction to someone based on the unique personality of each person owned such as facial recognition, fingerprints, voice recognition, the introduction of the retina, and signature.Voice recognition is a process to identify a person by recognizing speech from that person.The purpose of this research is to know the success rate of the giving of the commandments on the system open close the door automatically using voice recognition. The methods used in this study is the method waterfall and consist of systems analysis, the design, implementation, and testing. This system uses the module Easy VR as an introduction to his voice. Easy device VR 3.0 can be an alternative in the build system-based voice recognition, as have a number of benefits that is its small size, has a user-defined feature speaker dependent, so for its implementation can be minimize the complexity of installation and configuration of the function of the device is relatively simple.This study uses two words used to code the words "buka" and "tutup".The success of the grant of the injunction on testing tools by the person authorized is 95% for the word "buka", and 90% for the word "tutup".
Untuk menilai tingkat kesuburan tanah dinas pertanian masih menggunakan cara manual dengan menebak data hasil analisis tanah. Penelitian ini bertujuan mendapatkan sistem prediksi tingkat kesuburan tanah yang menerapkan metode analytical hierarchy process untuk memprediksi tingkat kesubutan tanah. Sistem prediksi tingkat kesuburan tanah ini dikembangkan dengan menggunan model waterfall yang terdiri dari empat tahapan yaitu tahap analisis, tahap desain, tahap kode dan tahap pengujian. aplikasi untuk prediksi tingkat kesuburan tanah ini menggunakan metode AHP dengan menggunakan 7 kriteria. Pembuatan sistem prediksi tingkat kesuburan tanah ini menggunakan bahasa pemrograman PHP, framework yii dna database MySQL. Pengujian sistem menggunakan uji blackbox, pengujian aspek portability dan uji validasi kelayakan sistem yang dilakukan di Dinas Pertanian. Berdasarkan hasil pengujian dapat dinyatakan bahwa sistem prediksi tingkat kesuburan tanah dapat berjalan dengan baik sesuai dengan desain rancangan. Selain itu sistem prediksi tingkat kesuburan tanah dapat digunakan sebagai aplikasi untuk prediksi tingkat kesuburan tanah dengan beberapa penambahan.
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