Community Based Organizations are one of the non-governmental organizations involved in the development of local communities as the main actors. Local communities as local based non-commercial organizations that work on instruments for groups, for people to convey public interests, and for those that related to members to improve and stabilize their lives. Participation is considered an important role as a part of human growth. The main objective of this research is to construct a model for the implementation of public services that involves the participation of local communities so that they are efficient and help local communities obtain fair and non-supportive services. This model tries to solve complex problems in the implementation of Service Public Accountability Performance by involving all stakeholders by using resources so it runs effectively and efficiently. Based on the results of the pattern matching technique and time series showing the implementation of land needs the help of the local community. The local community in this study is Karang Taruna, this community is in an urban village area. As a local community, it will be very easy to organize the community. Karang Taruna also provides facilities for poor communities or beneficiary families for local governments to obtain social justice services.
Public policy accountability seems to pose an everdeveloping challenge all around the globe. The increasing rate of complexity at the global scale compels bureaucracies to enhance their capabilities. In reality, however, bureaucracies become the most frequent targets of complaints from civic community organizations with respect to public policy implementations. On the other hand, they are seen as necessary multilateral, but much-in-need-of-reform, actors in global development. The main objective of this study is to build an agile bureaucracy model for public accountability in the implementation of the street vendor (PKL) policy in Indonesia. This model will observe whether agile bureaucracy management is helpful or inhibitory instead to the implementation of public policies. This study will also reveal the demanded accountability and politicization in policy actors' relationships. Data were collected by interview through focus group discussion (FGD) technique with twenty street vendor groups, with 10 to 15 members in each group. Documentation of informants who were directly involved in activities was also carried out. Data analysis processes included data reduction, data presentation, and conclusion drawing. The results of this research showed that building an agile model for the implementation of public policies helps teams with governance to generate high-quality outputs quickly. This features changes to the mindset which prioritizes clear, thorough vision over prescriptive details. This facilitates flexible leadership and organizational structures, cross-functional teams, talent ecosystems, and collaborative cultures and behaviors. Upon improvement and application to all organizations, agile breaks down functional silos, heightens transparency and accountability, and empowers employees.
The aim of this research is to take advantage of data mining techniques using the Apriori sales data algorithm for agricultural equipment. This is due to the fact that the high potential agricultural sector in Indonesia has obstacles to the use of technology. Research was conducted in the district of Simalungun in a shop selling agricultural needs. Sales activities in the store continue and generate more and more data. In order to be of use to the resulting data, it is necessary to process these data with a certain algorithm that provides great benefits, in particular by maximizing the sales profits of agricultural products. Apriori Algorithm is one of the methods of data mining, the activities of which include data collection and the use of old data with the aim of finding regularities, patterns or relationships in data collection. The output of the algorithm can help future decision-makers, where one of the advantages is the rearrangement of the product layout, such as the most frequently sold products being assembled so that they are easily visible to consumers and can properly prepare stock items for the store.
The aim of this study is to develop a grouping model in order to determine the means of trade and accommodation according to the regions in Indonesia. Research can be a reference for the government to increasing the income of each region in Indonesia equally. Research data were taken from a website that provides government statistical data, namely BPS (Badan Pusat Statistik)-www.bps.go.id The solution is to use data mining techniques with clustering methods. The data test process uses the Rapid Miner software. Three clusters of mapping labels are used, namely the high cluster (K1), the normal cluster (K2) and the low cluster (K3). The results of the rapidminer processing were obtained from the centroid data for high clusters, namely ((1527), (810.4), (5865), (6655.3), (323), (315.1); the medium cluster, namely ((286), (199.591), (1327), (2240.227), (93.227), (140.955)); and the low cluster, namely (139.25), (122.5), (508.833), (919.222), (64.417), (94.444)). The cluster results show that 5 provinces are classified as high in clusters; 13 provinces are classified as medium clusters; and 16 provinces are classified as low clusters. Out of the results of the study, some 47% of areas in Indonesia still have low trade and housing facilities. With this analysis, it is hoped that the government will be able to pay more attention to regions whose revenues are still below average.
Cancer disease is a devastating disease that could change someone’s life and relationship drastically. Cancer have been seen as a disease that revolves around strong donation interest. By donating to certain organization or community, the cancer patient could get a help from them. Using social media is their strong method to communicate their purpose and agenda to reach the donation candidate or those who can help and expand the attention of cancer disease. In Indonesia, disease is strongly influenced by religious and mystical figure and myths, thus, their method still crossing each other with actual medical workers, it is why Kanker_Fighter account still also has some PR blunder in their Instagram account. These phenomenon serves as Therapeutic Communication interference for actual medical worker in the field. With the strong donation biased method, lack of research, and Therapeutic Communication interference, it could stagnate the cure for cancer patients.
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