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Nile Tilapia (Oreochromis niloticus) is the most widely cultivated freshwater fish because it can grow well in tropical countries and temperate regions. This research aims to create artificial feed that matches the nutritional parameters needed by nile tilapia. This artificial feed will use the basic ingredients of shrimp waste, with addition of oilcake, bran, starch flour, vitamins, squid oil, and water. There are four variables used to make artificial feed with different basic and additional ingredients, as well as varied processing techniques. After artificial feed is completed, proximate analysis will be carried out to test composition of crude fiber, carbohydrates, water, fat, ash, and protein using various methods. The test method for the composition of crude fiber, carbohydrates, fat, ash, and protein follows the method set by the Association of Official Analytical Chemists (AOAC). Based on the results of proximate analysis, variable 1 (V1) has fulfilled the nutritional content of protein and moisture content needed by nile tilapia. This shows that artificial feed formulations from shrimp waste can be used because protein is an important element for nile tilapia growth, but the content of crude fiber, carbohydrates, fat, and ash exceeds ideal value for nile tilapia nutrition. This also occurs in variables 2, 3, and 4 that have not met nutritional needs, especially protein. However, the composition of artificial feed with shrimp waste and addition of meal, bran, starch flour, vitamins, and water in V1 can be further investigated to reduce the content of crude fiber, carbohydrates, fat, and ash. [ABSTRACT FROM AUTHOR]

The New PLN Mobile is a mobile application developed by PT PLN (Persero) to help all customers in electricity-related activities. One of the PLN companies that uses Key Performance Index (KPI) to improve the performance of the New PLN Mobile application is PT PLN Unit Wilayah Kalimantan Timur – Utara (UIW KALTIMRA) with the aim of enhancing customer satisfaction. In this study, the analysis was carried out using the extended UTAUT (Unified Theory of Acceptance and Use of The Technology) model with PLS-SEM. The variables include performance expectancy, effort expectancy, social influence, facilitating conditions, trust, information quality, behavioral intention, use behavior, and customer satisfaction. The research involves 105 respondents who have used the New PLN Mobile and are located in the East Kalimantan or North Kalimantan region. There are 8 initial hypotheses and hypothesis testing will be carried out based on the questionnaire data processed in the extended UTAUT model. The results of hypothesis testing indicate that 5 hypotheses are accepted, and 3 hypotheses are rejected. The accepted hypothesis reveals that social influence and information quality have a positive and significant impact on behavioral intention; trust and behavioral intention have a positive and significant impact on use behavior; and use behavior has a positive and significant impact on customer satisfaction. The results of the study provide the basis for managerial implications for PT PLN UIW KALTIMRA. Six magerial implications have been formulated, with four impliactions responded to positively by the company and two implications that cannot be implemented in future. [ABSTRACT FROM AUTHOR]