Rancang Bangun Automatic Transfer Switch (ATS) PLN - Genset 3 Phasa 10 kVA

: In certain places such as the center of trade, hospitality, banking, hospitals and industry require electrical energy in a continuous and reliable in carrying out the function and production. Therefore generator set (genset) is used as the source of electrical energy backup to support the main electrical energy from PLN. As a control when the generator takes over supply of electrical power to the load or vice versa, a system or tool called automatic transfer switch (ATS) is used. ATS that is made here based on magnetic contactor as main conponent and magnetic relay as control component. In accordance with the name, ATS is able to work automatically to turn on the genset when PLN power goes out as well as directly to supply the load and to turn off the genset when PLN comes back online and restore the supply of the load to PLN. When outages occurs, then the electrical energy supply to the load will be terminated for three seconds (during the process of starting the genset), thus also when the PLN comes back online, then the outage occurs for three seconds (during the return process of electrical energy supply from genset to PLN). Abstract: A battery as a main power of AGV provides limited electricity that need to be recharged. Conventional AGV battery charger is less effective and less efficient because it needs human to be operated. It also does not have a charging notification system. Usually, an AGV operator monitor some charging stations which has been operated at different areas. An operator’s carelessness when monitoring can cause a bad effect of AGV’s performance. Therefore, we made a utomatic AGV’s battery charger using Arduino Mega 2560 with timing and charging notification system in order to charge the AGV’s battery based on time and reporting if there is something wrong on charging process. The charging time can be set by operator through HMI. The charging status sent by SMS using SIM900 GSM module. Abstrak: Proses identifikasi jenis daging di masyarakat umum dilakukan dengan cara manual. Penelitian ini dapat mengidentifikasi jenis daging secara otomatis dengan teknologi pengolahan citra digital. Proses pengolahan citra daging dilakukan pada mikrokomputer Raspberry Pi 3 menggunakan perangkat lunak Python 2.7 dan didukung dengan library OpenCV, sedangkan untuk pengambilan citra dengan menggunakan Raspberry Pi Camera Module V2. Proses identifikasi jenis daging menggunakan nilai presentase komponen warna RGB dan hasilnya akan ditampilkan pada LCD. Hasil penelitian ini memperoleh nilai presentase komponen warna Red (R) untuk daging babi 42,35 – 44,12 persen, daging celeng 45,21 – 48,87 persen, daging sapi 44,03% – 45,76 persen, daging kambing 45,08 – 46,60 persen. Nilai komponen warna Green (G) untuk daging babi 28,43 – 29,13 persen, daging celeng 24,71 – 26,54 persen, daging sapi 26,34 – 27,15 persen, daging kambing 27,05 – 27,75 persen. Nilai persentase komponen warna Blue (B) untuk Abstract: The process of type identifying of consumpted meat in the community is still conducted manually. This research can identify the type of meat automatically with digital image processing technology. Image processing of meat is carried out on Raspberry Pi 3 microcomputers using Python 2.7 software and supported by OpenCV library, while for image captured using Raspberry Pi Camera Module V2. The meat type identification process used the percentage value of RGB color components and the results will be displayed on the LCD. The results of this study obtained a percentage value of the Red (R) color components for pork 42.35 - 44.12 percent, wild boar meat 45.21 - 48.87 percent, beef 44.03 - 45.76 percent, and goat meat 45.08 - 46.60 percent. Green (G) color component percentage value for pork 28.43 - 29.13 percent, wild boar meat 24.71 - 26.54 percent, beef 26.34 -27.15 percent, and goat meat 27.05 - 27.75 percent. Blue (B) color component percentage value for pork 27.41 -28.55 percent, wild boar meat 26.39 - 28.27 percent, beef 27.86 - 28.87 percent; and goat meat 26.31% - 27.21 percent. Abstract: Greenhouse system modeling is done experimentally, where input and output data are used as a basis for modeling. Data was taken using a datalogger made from Arduino, 2 (two) temperature and humidity sensors DHT22, SD card reader module, real time clock module, where data was collected and stored by the datalogger every 5 minutes for 2 (two) days. The models tested were the Autoregresive eXogenous (ARX) model, eXogenous autoregressive-moving-average (ARMAX), Output Error (OE) and Box Jenkins (BJ). From the test results obtained for the temperature system is modeling the system with the ARMAX4441 method, which has a confidence level of 41.06% with a loss fuction of 0.0662069 and Final Prediction Error (FPE) of 0.0692983. Whereas for the air humidity system, the most suitable model is ARMAX4441 with a confidence level of 58.77%, loss fuction of 0.310379 and FPE of 0.324872. Abstrak: Framework merupakan sebuah kerangka kerja yang dibuat untuk memudahkan kinerja dalam pembangunan sebuah web . Dengan framework , sistem web yang dibangun akan menjadi lebih tersusun dan terstruktur rapi. Sekarang ini banyak framework yang dikembangkan dalam membangun sebuah web . Paper ini menyediakan sebuah tinjauan literatur sistematis dari berbagai penelitian yang telah membahas tentang pengaruh framework khusus dalam pengembangan dan pembuatan web . Penelitian ini menggunakan 2 (dua) digital library , yaitu Science Direct dan IEEE Xplore serta melakukan penyaringan untuk mendapatkan publikasi artikel ilmiah mulai 2010 sampai 2018 yang membahas tentang pengaruh penggunaan framework khusus terhadap pengembangan dan pembuatan web . Artikel ilmiah yang terpilih kemudian dianalisis sesuai dengan research question yang dibuat. Hasilnya, penelitian ini menggolongkan beberapa artikel berdasar area pengembangan dan peningkatan yang dihasilkan, dimana kebanyakan artikel berfokus pada pemberian rekomendasi dalam pengembangan web dengan pemilihan framework dan framework yang dipakai untuk proses testing . Kata kunci: Abstract: Framework is created to facilitate performance in the development of a web. Using framework, the web system built will become more structured and neatly. Now many frameworks are developed in building a web. This paper provides a systematic literature review of studies that have discussed the influence of frameworks specifically in web development and creation. This research uses 2 (two) digital libraries, Science Direct and IEEE Xplore and conducts a screening for publication of scientific articles from 2010 to 2018 which discussed the effect of using specific framework for web development. Selected scientific articles are then analyzed according to the research question. The result, this research classifies papers based on the area of development and improvement produced, where most papers focus on providing recommendations in web development with the selection of frameworks and the other used for the testing process. Abstrak: Masalah penjadwalan kuliah merupakan masalah yang sangat kompleks, dimana inti dari penjadwalan tersebut adalah bagaimana menjadwalkan beberapa komponen yang terdiri dari mahasiswa, dosen, ruang, waktu, dan matakuliah dengan memperhatikan sejumlah batasan dan syarat ( constraint ) tertentu. Tujuan yang ingin dicapai adalah menerapkan metode Metaheuristik Ant Colony Optimization (ACO) untuk optimalisasi sistem penjadwalan perkuliahan. Setiap langkah yang dilakukan oleh ACO menggunakan algoritma yang diadaptasi dari prilaku semut untuk menyelesaikan permasalahan kombinatorial. Sistem ini dibuat dengan menggunakan pemrograman Microsoft Visual Basic dengan memasukkan beberapa parameter yaitu Data Dosen, Mata Kuliah, Ruangan, dan beberapa variabel dari masing-masing parameter yang kemudian diproses sehingga menghasilkan penjadwalan perkuliahan. Adapun hasil yang diperoleh dari implementasi ACO untuk memecahkan masalah penjadwalan kuliah di perguruan tinggi dilihat dari jumlah constrain yang terlanggar serta lamanya waktu yang diperlukan dari masing-masing iterasi pada tiap metode sampai mendapatkan jadwal kuliah sehingga Abstract: Lecture scheduling problems are a very complex problem, where the core of the scheduling is how to schedule several components consisting of students, lecturers, space, time, and subject matter with due regard to certain constraints and constraints. The goal to be achieved is to apply the Ant Colony Optimization (ACO) Metaheuristic method to optimize the lecture scheduling system. Every step taken by ACO uses an algorithm adapted from ant behavior to solve combinatorial problems. This system is created using Microsoft Visual Basic programming by entering several parameters, namely Lecturer, Course, Room, and several variables from each parameter which are then processed to produce lecture scheduling. The results obtained from the ACO implementation to solve college scheduling problems are seen from the number of constrained constraints and the length of time required from each iteration in each method to get a class schedule so that they get a schedule with a 82 percent truth level which is a comparison of constraint violations to the total number of timeslot used for scheduling.