Assistance funds from the APBN through the West Sumba Regency APBD can be allocated to funds through the Village Financial System application. This financial system has been widely used by all village offices. However, the budget is used by the reports reported to the financial system. The purpose of the researcher is to assess the level of satisfaction with the utilization and documentation of financial resources. This study is conducted through the distribution of questionnaires to relevant respondents. Based primarily on the responses gathered from the questionnaires, the researcher employs the SPSS software as a tool for statistical data analysis. The results of the test found that all test results were valid, namely for reliable test values of 0.789, 0.779, and 0.805 through Cronbach Alpha. 

Village development is an effort to improve the quality of life and life for the greatest welfare of village communities. Meanwhile, the aim of village development is stated in article 78 paragraph 1, namely improving the welfare of village communities and the quality of human life as well as overcoming poverty through fulfilling basic needs, developing village facilities and infrastructure, developing local economic potential, and using natural resources and the environment in a sustainable manner. As is the case with village development, Watu Wona Village is one with a majority of farmers, which is an example of a road access development plan that really needs assistance from the government in its construction to support the production and sale of agricultural products. Infrastructure is still lacking, damaged infrastructure roads make access to the village difficult. As a result, the flow of goods and services to villages to transport agricultural products is also lacking and hampered. Based on the existing problems, village development planning is needed using a decision support system (SPK) so that village selection in Watu Wona village is faster and more accurate. By using the SAW method comparison

The growth of the internet has influenced the tourism industry because the internet makes it easier for individuals to obtain reviews about places to visit and because the internet is a tool used by tourist site managers to assess the quality of their offerings. The increase in the number of tourists of almost two million in just three years in West Sumba is proof of this influence. Social media is a tool that people use to interact with each other online; some people have multiple accounts on platforms such as Instagram, WhatsApp, Facebook, Telegram, Twitter, and so on. Tourists can receive recommendations for tourist attractions based on price and type of trip desired through a tourist attraction recommendation system that uses the KNN algorithm. Three factors were used in this research: activity, type of tourism, and type of price. An accuracy of 63.16% is found in the test results using the KNN algorithm and the Rapid Miner application with a K value of 5. The analysis results show that the K-Nearest Neighbor (K-NN) approach can be used as a guideline for recommending tourist destinations to visitors in West Sumba.

Expert systems are one type of computer technology that is being used by a used in the medical field to assist physicians in patient examinations is expert systems.The goal of this is to improve patient care both now and in the future.system with expertise  is an application that replicates how an expert would reason to solve a particular problem or acts similarly to an expert due to its understanding of a knowledge base that has to be processed and its ability to solve problems. An expert system's diagnosis of epilepsy leads to the creation of a system that can offer individuals with the condition a consultation service for the purpose of diagnosing the condition and providing information on treatment options. This is demonstrated by the development of numerous technologies that facilitate the work of numerous parties. One of them is computer-related and uses Expert System Science to assist in the diagnosis of epilepsy. The Certainty Factor approach is employed in this study. Thirteen symptoms and three different forms of epilepsy—general, partial, and secondary—were used in this investigation. The study's findings indicate that, based on the chosen symptoms, the most accurate diagnosis is Partial Primary, Partial Secondary, with a confidence level of 74%, and the most accurate diagnosis is Generalized Epilepsy, with a confidence level of 99%.