Hybrid Power Plant is an integration of two or more power plants based on renewable energy or not. Indonesia targets 23% of new renewable energy in the national energy mix in 2025, Merden Village is one of the areas located in Padureso District, Kebumen Regency., which has a renewable energy-based power plant, namely PLTMH with a capacity of 2x200 kVa connected to the grid (PLN). However, from August to December it did not run optimally due to a lack of water supply from the Wadaslintang Reservoir. Based on the database form NASA, the village of Merden is an area that has radiation of 4,60 kWh/m2/day, with a high enough intensity, this village has the potential to be paired with photovoltaics as additional energy. This research uses the help of HOMER software with the parameters entered, among others, energy source (solar radiation intensity and water discharge), equipment specifications, cost and daily load profile. The results of this study are the electrical energy production of the two generators is 1.301.169 kWh per year with a total NPC value of -$941.597 and an LCOE of - $0,056. The most optimal configuration is Microhydro 385 kW, PV 15kW, Battery 40 units, Bi-Directional Inverter 75 kW. This shows the additional of PV can be a reference because it can produce electrical energy for one full year.Keywords : Hybrid, Microhydro, PV, Grid, HOMER

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".

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The purpose of this study is to design and make a prototype of a motorized vehicle speed data recorder by utilizing MMC (Multi Media Card) as a data recording media so that there will be factual evidence in the form of a motor vehicle track record as long as the vehicle is running. The research method uses the Research and Development (R & D) approach, with stages: hardware design and firmware creation, hardware testing, GUI application creation, GUI application testing, data retrieval testing, and data analysis. The entire system of this tool is controlled by the ATmega328 microcontroller, the RTC module is used to generate timer signals in real time and Infrared Sensors (IR Sensors) as wheel rotation detectors that are used as car speed sensors when driving. Data is recorded in the form of real time speed, accelerator (acceleration) and the distance stored in a Secure Digital Card (SD Card) or MMC (multimedia card) within the specified time interval. The results of hardware testing show that the design works through all the test scenarios performed. GUI applications and firmware are tested by blackbox testing, and show that the system is running smoothly. In addition, testing is also focused on speed data recording segmentation algorithms, with the result that the algorithm can mark the phase of each speed change with 100% accuracy. Product testing with data retrieval is done in 10 (ten) data by comparing the actual distance indicated by the speedometer with the system measurement value. The test results show that the system can accurately estimate activity parameters for each change in speed, with an accuracy rate of 98.91%. In addition, the standard deviation value of 0.02625 km / h indicates that this system is considered consistent in measurement.

Abstrak -Akun (user) merupakan kunci dari segala sistem untuk bisa mengakses sistem tersebut. Sekarang setiap orang memiliki banyak akun dari sistem yang berbeda-beda. Semua akun tersebut harus diingat untuk bisa mengakses sistem. Untuk mengatasi hal seperti ini diperlukan perangkat pengelolaan akun yang terpusat, yaitu menggunakan protokol Single Sign On (SSO). Dalam penelitian ini menggunakan metode pengembangan sistem linier sequential model. Metode pengembangan sistem linier sequential model melalui empat tahapan proses, yaitu analisis, desain, pengkodean, dan pengujain. Pengujian yang dilakukan di antaranya pengujian blackbox, performance testing, efficiency, portability, usability, pengujian algoritma Eigenface untuk face recognition, dan pengujian multi login sistem. Hasil penelitian berupa tahapan-tahapan pengembangan sistem dengan hasil pengujian blackbox, yaitu seluruh fungsi sistem berjalan dengan baik. Pada pengujian performance testing menunjukkan kinerja sistem sangat baik. Pada pengujian efficiency menghasilkan nilai di atas rata-rata GTMetrix. Pada pengujian aspek portability menunjukkan sistem bisa diakses di 3 browser. Pada pengujian usability menunjukkan sistem layak digunakan. Dari pengujian algoritma Eigenface menunjukkan proses verifikasi wajah berjalan lancar tanpa terkendala. Dapat mengakses sistem dengan login melalui sistem yang berbeda menunjukkan uji multi login sistem berhasil. Simpulan yang dapat diambil dari penelitian ini adalah sistem login SSO dapat mempermudah pengelolaan akun untuk admin dan pengguna. Sistem login SSO layak diterapkan dengan menggunakan autentifikasi face recognition. Saran untuk pengembangan sistem lebih lanjut, yaitu diperlukan penambahan fungsi enkripsi dan pembangunan dedicated server sendiri untuk face recognition. Kata kunci -akun, login, Single Sign On (SSO), biometric, face recognitionAbstract -Account is the key of every system in order to access the system. Nowadays, every people has some different account systems. All of these accounts must be remembered, so that they could access the system. Facing this issue, the management account devices which is centralized by using Single Sign On (SSO) protocol is needed. This research was using sequential linear system development models. The sequential linear system development through four stages, analysis, design, coding, and testing. Some tests were also performed such as blackbox test, performance test, efficiency, portability, usability, eigenface algorithm test, and multi login test. The result of the research were the stages of the system development with blackbox test of system functions were running well. Performance test shown the excellence of system performance. Efficiency test has a result above-average GTMetrix. Portability aspect test shown that system could being accessed in three browsers. Usability test shown that the process of face verification is going well without any mistakes. Accessing the system by login through some different system implied that multi login system test is successful...