In today's digital era, almost all parts of human life depend on the development of information and communication technology, which helps in increasing efficiency, effectiveness and cost savings in various activities. The role of information and communication technology is very vital in human life today. The National and Political Unity Agency (BAKESBANGPOL) is a government agency which has the main task of social and political development in the Central Lombok Regency area. BAKESBANGPOL has implemented a system or application called e-Kinerja. The implementation of the e-Kinerja application is said to be running quite well and is easy to use, however the e-Kinerja Application also often experiences problems such as frequent human errors and lack of socialization of the e-Kinerja Application which will have an impact on decreasing efficiency and decreasing trust in the system. Therefore, measurements of application quality need to be carried out. This research aims to measure the level of usability using the USE Questionnaire method in the e-Kinerja application. This research uses quantitative research with stages of observation and interviews, preparation of questionnaires, distribution of questionnaires. The results of this research are the results of calculating the usability measurement of e-Kinerja, which obtained a value of 81.45% which is in the range of 81-100, where the e-Kinerja application at BAKESBANGPOL Central Lombok Regency is very suitable for use by ASN.

BPNT is non-cash food aid. What is paid in the form of food by the government. The BPNT program aims to provide opportunities for the government to improve food security and provide balanced nutritional value to poor families, such as in Muncan Village, the BPNT assistance program is distributed every month. In decision-making, the selection of BPNT recipients is constrained because quite a lot of data that is processed or selected by the apparatus is still done manually. So far, the existing system has not been optimal for selecting BPNT recipients with the existing criteria. Data management still uses a manual system and is not effective in determining who is entitled to receive BPNT and who is not. The method used in the decision support system for Social Assistance for Non-cash Food Assistance (BPNT) is the ARAS method to make it easier to identify who is eligible to receive and who is not. support Based on the weight value obtained in the assessment process. The criteria for determining BPNT assistance include: occupation, number of dependents, income, home ownership, electric power and age. For testing using the Black Box method using the Boundary Value technique focusing on errors. The programming language used is PHP or Hypertext Preprocessor.