No abstract

Battery accumulator charging with pizoelectric takes considerab le long time so that an energy harvester is needed b y using in this study LTC 3588 circuit. However, b y using the energy harvester, the pizoelectric cannot b e used to charge 12 volt b attery, thus a b oost converter is needed. The output vol tage is too small to increase b y using the b oost converter so that the output from the energy converter is used to charge four AA b atteries. After the voltage of the four AA b atteries as much as 4.7 volt is increased b y using the b oost converter, the b atteries can b e used to charge accumulator b attery 12 volt. To charge the b attery to accumulator, scheduling algorithm planted in microcontroller arduino is needed. By using the scheduling algorithm with fuzzy logic in the arduino microcontroller, the microcon troller is ab le to control schedule of accumulatro b attery charging.

No abstract

Palmprint Recognition Technology now requires breakthrough identification of diverse people. Palmprint recognition is the right choice of the system, namely the acceptance of biometrics that can be done quickly and cheaply because it has a significant enough media dimension that is difficult to manipulate. The four classifications of the biometric algorithm, the use of matching methods is still less attractive to researchers. In general, the part of the research concern is in the preprocessing and dimension reduction sections. Although researchers more widely use the Euclidean matching method, the selection of cosine methods is worth considering. The cosine method for the palmprint recognition matching process will have a significant effect on increasing the verification value when inserting the use of the contra-variance formulae in the equation. The selected amount of contra-variance is the data of the training. From the results of research that have been carried out, the rate of EER and verification are quite promising. The value of research results can compensate for other researchers in the same field.

Penelitian ini mendisain sebuah alat untuk pengendalian dan pemantauan penggunaan air berbasis Internet of things. Alat yang didisain terdiri dari komponen dasar: sensor, pewaktu real time (rtc), relay, solenoid, LCD 16x2 dan NodeMCU. Alat akan membaca penggunaan air dengan sensor aliran air yang hasilnya akan di tampilkan di LCD 16x2. Selain ditampilkan, hasil dikirim ke aplikasi telegram pada telepon genggam. Fungsi pengendali penggunaan air dilakukan dengan mengendalikan buka/tutup kran air. Sebagai pelengkap,alat juga dilengkapi kendali otomatis yang akan menutup keran pada level tertentu. Hasil pengujian alat menunjukkan, monitoring dan pengendalian kran air melalui telepon genggam telah berjalan seperti yang dirancang. Sedangkan hasil dari kalibrasi Sensor Water Flow dibandingkan dengan gelas ukur mperlihatkan eror rata-rata errornya 1,9%. Dan hasil dari pengujian Sensor Water Level untuk kendali otomatis memperlihatkan kesalahan relatif rata-rata sebesar 10,3%.