Averaging result where compatibility, dependency, and compactness were set to the same weight of 0.33.

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... aggregating function (weighting) for compactness, compatibility, and dependency value [6], [14] instead of clustering. An aggregating function is usually implemented when no previous data for benchmark [15]- [17]. However, the clustering is more objective than the averaging because do not need the weight that is based on the respondent's view. Fig. 8 shows the result if we use the same weight for compatibility, dependency, and compactness. Similar to the clustering method, the Central Bogor shows higher than the other sample areas (with the score of 0.202). The average value for the trained data was 0.175. It means that this region is better than others. To ensure that the Central ...