{"title":"Open Data-Based Village Potential Mapping Model Design in the Tomini Bay Region in the KKN Course","authors":"Arip Mulyanto, Muhammad Yahya, None Purnamawati","doi":"10.9734/air/2023/v24i6989","DOIUrl":null,"url":null,"abstract":"The objectives of this study were: 1) To develop an open data-based village potential mapping model design in the Tomini Bay Region in the KKN course and 2) Test the validity of the open data-based village potential mapping model in the Tomini Bay Region in the KKN course, 3) Testing the effectiveness of the open data-based village potential mapping model in the Tomini Bay Region in KKN courses. The research method used in this study is the Research and Development research method of the Borg & Gall model of model development stages, which include (1) drafting the model, (2) expert and practitioner validation, (3) limited model trial, (4) more comprehensive model trial; and (5) model revision. The subjects of this study were 42 students participating in KKN in the Tomini Bay Region in 5 villages. The quality of the developed product was analyzed with descriptive statistics. The results showed that (1) The design of the open data-based village potential mapping model developed has a very high level of validity with an average value of 0.87 and is feasible to use; (2) The open data-based village potential mapping model developed is practical to use, based on the value of model implementation which reaches an average value of 83.59% with perfect implementation criteria, and gets an excellent response from KKN student participants with an average value of 85.15%, (3) There was an increase in the average score between the pre-test and post-test in the control group, where the average score of the pre-test in the control group was 53.13 while the average score of the post-test in the control group was 73.84. There was a significant increase between the pre-test and post-test in the experimental group, where the average score of the pre-test in the experimental group was 56.65 and the average score of the post-test in the experimental group was 86.06.","PeriodicalId":91191,"journal":{"name":"Advances in research","volume":"126 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.9734/air/2023/v24i6989","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The objectives of this study were: 1) To develop an open data-based village potential mapping model design in the Tomini Bay Region in the KKN course and 2) Test the validity of the open data-based village potential mapping model in the Tomini Bay Region in the KKN course, 3) Testing the effectiveness of the open data-based village potential mapping model in the Tomini Bay Region in KKN courses. The research method used in this study is the Research and Development research method of the Borg & Gall model of model development stages, which include (1) drafting the model, (2) expert and practitioner validation, (3) limited model trial, (4) more comprehensive model trial; and (5) model revision. The subjects of this study were 42 students participating in KKN in the Tomini Bay Region in 5 villages. The quality of the developed product was analyzed with descriptive statistics. The results showed that (1) The design of the open data-based village potential mapping model developed has a very high level of validity with an average value of 0.87 and is feasible to use; (2) The open data-based village potential mapping model developed is practical to use, based on the value of model implementation which reaches an average value of 83.59% with perfect implementation criteria, and gets an excellent response from KKN student participants with an average value of 85.15%, (3) There was an increase in the average score between the pre-test and post-test in the control group, where the average score of the pre-test in the control group was 53.13 while the average score of the post-test in the control group was 73.84. There was a significant increase between the pre-test and post-test in the experimental group, where the average score of the pre-test in the experimental group was 56.65 and the average score of the post-test in the experimental group was 86.06.