K-Means Algorithm Analysis for Election Cluster Prediction

The general election is a democratic process that carried out in every country whose system of government presidential, including Indonesia, which conducts it five years. In fact, some people abstain, leading to budget wasting and missing target. Thus, very important identify clusters districts map the number voters for upcoming election. This needs prediction help reduce budgeting risk as an early warning. Based on latest data taken from Margokaton, Yogyakarta, many voted 2021, but abstainers high. this case, cluster participants each area. K-Means algorithm could also predict abstainer areas activities facilitate mitigation drafting budgeting. Therefore, study aimed pattern using K-means algorithm. parameters comprised list voters, Unused ballot papers, sum abstainers. because contributes reducing obtained Indonesia Ministry Internal Affairs official website 2021 were processed RapidMiner tool. results showed more than 11% non-voters 1, 16% Cluster 2, 8% 3. evaluation value 2.04, indicating clustering suitable, shown by DBI close 0. indicate testing optimization highly recommended. result, special attention with decrease prevent overbudgeting. These need review participant 2024. Furthermore, there continuous socialization education about