No abstract

Conventional DC motors often experience problems that require regular maintenance. The use of conventional DC motors can be replaced with Brushless DC (BLDC) motors. This BLDC motor has good efficiency and durability. Increasing the ability of BLDC motors can be done by speed regulation using the Proportional-Integral-Derivative (PID) method combined with Firefly Algorithm. Testing this method uses matlab 2014a. The firefly algorithm can obtain parameter values of Kp, Ki, and Kd which are then used as PID input. Because of inaccuracies in determining the value of a constant in PID and can cause the length of time to reach the desired speed. BLDC motor speed regulation with the PID method combined with firefly algorithm can make the BLDC motor reach synchronous faster.

Tujuan_Tujuan dari penelitian ini adalah untuk mengetahui persepsi masyarakat mengenai electronic word of mouth, kepercayaan, dan kepuasan serta untuk mengetahui pengeruhnya terhadap loyalitas pelanggan pada e-commerca Lazada yang berada di wilayah Bandung timur.                                                                  Desain/Metode Penelitian_Penelitian ini menggunakan metode penelitian kuantitatif. Teknik pengambilan sampel yaitu teknik non probability sampling dengan teknik sampling insidental. dan teknik pengumpulan data mengunakan kuesioner. Jumlah responden yang diteliti adalah 115 responden yang diambil dari wilayah Bandung timur. Serta pengolahan data menggunakan regresi linear berganda.                          Temuan_Masih kurang baiknya electronic word of mouth tentang Lazada, kepercayaan dan kepuasan pelanggan sehingga akan berdampak pada turunnya loyalitas pelanggan.                                                      Implikasi Penelitian_Dari penelitian ini diharapkan Lazada dapat memperbaii kembali pelayanan penjual dan pelayanan dari pihak Lazada sendiri. Supaya tidak ada lagi keluhan maupun komentar negatif dari pelanggan.  Originalitas_Variabel electronic word of mouth merupakan variabel yang pertama kali diteliti di STIE STEMBI – Bandung Business School.                                                                                                                                                   Tipe penelitian_Survey Pelanggan.

This Pasar Surya Surabaya Regional Company is an official market management under the Surabaya City government. In 2020, companies in the solar market area changed building assets into several open space places to become infrastructure facilities for economic improvement. The current power requirement is 197Kva and will be increased to 275 Kva. The planning of off-grid PV mini-grid for the Pasar Surya Regional Company, which was previously connected to PLN for 197 KVA, requires 1692 PV 380 WP for installation in an effective area of ​​3296.5 m2 and is divided into 3 PV arrays. with each array consisting of 19 series and 30 parallel PV arrays. Batteries with a capacity of 24V 300 Ah are needed as many as 342 pieces which are divided into 3 parts, with each part consisting of 19 series arrangement and 6 parallel battery arrangement. SCC (Solar Charge Controller) 240 KW requires as many as 3 pieces. Inverter 200 KW requires as much as 1 piece. In one year the energy that can be produced by PLTS is 950130 kWh, with a performance ratio showing the efficiency of PLTS at PD Pasar Surya which is 66.5%. The total cost of installing PLTS is around Rp. 16,204,258,086,- not including construction and installation costs. Meanwhile, to return the capital to be equivalent to the use of PLN, it takes an operating time of around 16 years

A load moment indicator (LMI) is an electronic device on heavy equipment cranes that can provide information and a warning system to operators in the event of an overload during the lifting load process. This tool has a very important role because it provides accessible information to the operator about the safe working load (SWL) that the crane can lift. Mobile cranes have a high accident potential when compared to tower cranes, and this is because mobile cranes have high mobility. In this paper, a prototype LMI has been made on a mobile crane based on a microcontroller that can provide value. The method used is an algorithm to find the closest value from the lifting load chart of a crane car. The programming algorithm is still manual, namely by equating and comparing boom crane conditions such as boom length, boom angle, and radius contained in the lifting load chart with the results of measuring boom crane conditions by sensors. The nearest value search algorithm follows the rules of how to read the mobile crane lifting load chart. The test results show that the sensors used to measure boom length, boom angle, and actual load each have a maximum relative error of 0.92%, 8%, and 4%, respectively. Meanwhile, to find the SWL value, the comparison scanning method can provide the SWL value according to the lifting load chart of the mobile crane. It can provide accurate information on whether the lifting load process is safe or overloaded.