Data lapangan menunjukkan pembebanan Transformator Distribusi AM097 di Jalan Banda Seraya Pagutan, Kota Mataram, sudah overload sebesar 92,82%,  tegangan pelanggan paling ujung bernilai 183,85 V, rugi daya saluran 15,87 kW. Drop tegangan mencapai 25,10% melebihi batas yang diizinkan dalam SPLN No.72 tahun 1987 dengan nilai maksimal 5%. Untuk memperbaiki kondisi  jaringan maka dilakukan analisis rencana pemasangan transformator sisipan menggunakan simulasi ETAP. Dengan memperhatikan penempatan transformator sisipan pada jarak 313,18 m dari transformator utama, beban transformator utama 69,16%, transformator sisipan kapasitas 100 kVA dibebani 47,13%. Hasil simulasi menunjukkan tegangan di ujung beban 222,3 V, drop tegangan 3,16%, dan rugi daya saluran sebesar 4,16%.

PT. Benknet is a company that focuses on providing internet services in the village of O'o, Dompu District, Dompu Regency. As of 2018 until now, PT. Benknet controls several areas to provide internet services, including the areas of Dompu District, Hu'u District, Pajo District, Pekat District to include the Bima Regency area to be precise in Woha District, Sila Village and its surroundings. The phenomenon that occurs in this study is the success of PT. Benknet to aggressively expand its services so as to be able to provide internet services in a wide area for 6 years. The qualitative approach is the approach used in this study which is intended to describe reality or know from events that are used as research objects which then make it easier to obtain objective data. The results of this study indicate the management of PT. Benknet performs structured management control in both formal control systems and informal control systems so that all management functions run effectively and efficiently. PT management Benknet is fully aware of the importance of implementing a Management Control System in the company to ensure the company's performance is in accordance with management's plans and expectations. In addition, it turns out that the management of PT. Benknet understands how to apply a good and correct Management Control System so that PT. Benknet was able to achieve success and still survive as one of the largest internet service providers for 6 years.

Honey has many benefits. Thus, honey counterfeiting often occurs with the ever-increasing demand. However, many do not know how to distinguish between real and fake honey, even honey breeders and hunters find it difficult to tell the difference. The honey used to test the quality of honey is honey produced by Apis dorsata bees or wild bees, the nectar consumed by these bees is the kesambi tree, the kesambi tree that grows a lot on the slopes of Mount Tambora, Bima district. Honey contains a lot of antioxidants such as vitamin C, pinocembrin, chrysin, pinobaksin, catalase, and many other ingredients that are very beneficial for the health of the body. Testing the authenticity of honey using two sensors, namely a gas sensor and a color sensor, the tool has been connected to a database and web application to display test data. The web application can be accessed from any location as long as it is connected to the internet network. The results of the research are the ideal distance for measurements is carried out as far as 2 cm. The success rate in testing pure honey with a mixture of honey has different values, such as the value of pure honey has a gas sensor voltage of 3.3 volts while the value of mixed honey with 50% pure honey and 50% sugar, the value of the gas sensor voltage is 2.54 volts. Mixed honey has a voltage below 3 volts. The results of the color sensor test, namely the sensor output have different values, the RGB value for pure honey is red 206, green 246, and blue 182 while the RGB value for mixed honey is for 20% pure honey and 80% sugar mixture produces an RGB value of Red 156, Green 210, Blue 171. The color sensor can distinguish between real honey and mixed honey for trigona honey.

The implementation of this study aims to present information not only in the text/tabular form but also in the spatial/digital map form to support the poverty alleviation programs in East Kalimantan, especially in Samarinda and Balikpapan, hence information obtained can be more easily analyzed, identified in terms of the poor population distribution in the visualization form. It presented as a list an area, graph, detail data and geographical map integrated with Google Maps. This application was developed using PHP scripts, Apache Webserver, Codeigniter Framework, CCS Bootstrap, MySQL database, and google maps API. Poor data collected from the Central Bureau of Statistics and the results of the survey through questioner and interview respondents. The information presented in this system is the resident name, identification number, address, employment, income, education, residence status and photo of living conditions/person.