Community-based tourism is one type of tourism that involves community participation to achieve the goal of sustainable tourism development. The purpose of this study is to determine the tourism potential to be managed by the community based on people's perceptions of the existing tourism potential, as well as identifying people's perceptions of national, regional, and also traditional policies in tourism. This research was divided into several data collection, internal-external factor analysis, data analysis and development strategy analysis using the SWOT matrix. The conclusions of this study are (1) Natural resources in Labuan Bajo which can be used as tourist attractions that have not been managed and developed properly. Those are Ara Mountain, Ina Mountain, Namong Island, Kelaki Island, Kima Island, Komodo, wild horses and buffalo, savannah, Rangka Cave, Gosong, Pasir Timbul, Mangrove and several underwater object such as Manta and coral reefs. (2) Based on a quantitative strategy, the development strategy that is suitable to be carried out in Labuan Bajo is the S-O Strategy which is carried out by utilizing the strength needed to achieve the opportunities that exist. (3) Based on a qualitative strategy, a suitable strategy to be carried out in Labuan Bajo is related to the improvement of public facilities, partnerships with universities, improvement of the people's economy, and the improvement of regional and group economies. Keywords: Community based tourism, local communities, natural resources, potencies, SWOT analysis

Purpose: This research aims to determine the tourism potential based on the community’s perception of the existing natural resource and determining the management strategies for the tourism area. Research methods: The research method used in this study is the survey method. This research method was divided into two steps, including data collection using the snowball method and data analysis carried out with a descriptive method for the potential of tourism development and qualitative- quantitative approaches based on the perceptions of the local community to determine the development strategy. Results and discussions: The results showed that several natural resources in Alor can be used as a tourist attraction, such as Wai Ulung, Wai Redang, Wai Urita, Wai Bakolang, Munaseli Kingdom, Hiking Baki Old Village, Kenari beach, Sikka Island, Putri Laut Cave, Tomi Leo Cave, Bat Cave, and Octopus Pond. Based on the analysis using the quantitative and qualitative SWOT Matrix, the suitable strategy to be applied in the development of sustainable tourism in Alor is maximize the strength to get all of the opportunity, such as developing tourism activities with fully managed by the local community, promotes safe tourist sites, provides sustainable tourism development field-laboratory for students and academia, and Enhance the community involvement as local tour services providers. Conclusion: Many natural and historical resources in Alor that can be developed as a tourist attraction, and the suitable development strategy is to maximize the strength to get all the opportunity.

The oceanographic data presented in this article were collected in the Bonpies island, as part of the Java Seas. The data were collected by in-situ measurement from several expeditions from 2011 to 2016. The data presented here include bathymetry, sea surface temperature (SST), sea surface salinity (SSS), ocean transparency, dissolved oxygen, and pH. All data were collected by daily in-situ measurements in different seasons. There were 5768 data measured from several portable instruments, including echo-sounder and portable instruments. Calibration of the instrument was carried out before and after the survey in accordance with the protocol provided by the manufacturer. Measurements are made directly and recorded into a log sheet paper and the data format is Comma Separated Files (.csv). This in-situ data would be most useful for regional climate studies, including forecasting such as El Nino and Indian Ocean Dipole effects, oceanographic condition, and marine resources management.

A control system in the form of an Automatic Transfer Switch (ATS) is needed when a blackout occurs from the PLN that will be transferred to the generator. The research problem was how to save costs for making ATS that can run efficiently. The purpose of this study was to find out how to save costs for making ATS that can run well and efficient. The method used was Research and Development. The Research and Development stages included: collecting data, designing, and testing. To save costs for making ATS, the researchers used the Timer Delay Relay (TDR), as using TDR reduces the cost of making tools because the component prices are relatively affordable. The way the ATS system works is when the PLN electricity is on, the battery will be charged by the battery charger, and when the PLN electricity goes out, the inverter will get a voltage supply from the battery, that was originally 12V will be changed to 220V. The TDR makes it easier to determine the appropriate time when the voltage is stable. Based on the experiment, the time when the voltage is stable is 6 seconds.

Average School Length (ALS) represents the level of performance of every person in a school region. The more years of education, the better the education obtained by the population; therefore, it becomes more essential as it can demonstrate the quality of the human resources in a given region. In addition, extensive research implies that the average length of schooling influences economic growth considerably. If the average length of education improves, then the number of unemployed and poor in an area decreases and affects economic growth positively and significantly. The study’s goal was to carry out an investigation utilizing artificial intelligence in the form of a cluster mapping on the averages of regeneration in central Java. This needs to be done to get a macro view of the level of development of the average school years through regional mapping over the last few years. The data set used can be found on the website of the Central Java Provincial Statistics Agency, which is the subject of the 2017-2019 average school year by sex. The solution approach is k-means, which is part of the data collection process. High and low clusters are the number used in this investigation. Prior to the k-means approach, pre-processing is conducted out by taking from 2017-2019 the average RLS number based on gender. The results of the computed average value were analyzed with k-means. The study found that out of 35 provinces, eight (23%) provinces were of the high cluster (cluster 1) and 27 of the low cluster (cluster 0) (77%). More than 70% of Central Java regions have remained common ALS, according to results. Keywords: K-Means, clustering, ALS