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Tangerines have become iconic in South Central Timor Regency. However, in Kualin District, production has been decreasing in the last five years. Cultivation of this plant requires special geographical factors. The role of geographic information systems can support both aspects of analysis, manipulation, and presentation. This study aims to determine the area of land class for the cultivation of tangerines in Kualin District using a geographic information system. This study uses a quantitative descriptive method. The data analysis technique used to determine land suitability is the matching method or the matching of each land characteristic. The data collection technique used in this study is to interpret remote sensing images and secondary data, then overlay them so that they provide four levels of conformity, namely very suitable (S1), suitable (S2), less suitable (S3) and not suitable (N). . The results of the study are as follows: 1. Map overlay analysis shows that most of the area has unsuitable land (S3) with an area of  121.08 km2 (59.62 %), land that is quite suitable (S2) is 87.32 km2 (40, 05 %), very unsuitable area (N) was 0.62 km2 (0.32 %) and for very suitable area (S1) it was only 0.02 km2 or 0.01% of the total area of  Kualin District.

The Covid-19 pandemic that occurred in all parts of the world has had an impact on the various sectors. Not only in the economic sector but also in the educational sector. Until Month June Year 2020, the Indonesian government had carried out a new-normal policy. The purpose of the study was to analyze the affordability of the Covid-19 referral hospital to the position of students during the new-normal era. The affordability could be observed by the distance traveled by students to the nearest Covid-19 referral hospital.  This study used the OD matrix layer from ArcMap 10.3. The sample used in this study was 87 students with 11 Covid-19 referral hospitals in East Nusa Tenggara Province. Based on the research results in the form of maps produced, showed that from 87 students observed, only 59 or 67.82% could reach the Covid-19 referral hospitals.  Meanwhile, the other 28 students or 32.18% couldn’t be reached by the hospitals. The amount of students observed, located less than 15 km from the Covid-19 referral hospitals were 35 or 40.22% from the total of 87 students. The hospital which students refer to based on their location was the WZ. Yohanes hospital.

This research aims to (1) Know the socio-economic conditions of Bajoe fishermen in Waiwuring Village (2) Know the empowerment program of fishermen in obtaining business capital to improve the welfare of Bajoe fishermen in Waiwuring Village (3) Know the spatial patterns of bajoe fishing communities in Waiwuring Village. This type of research is descriptive research, which is a type of research that has the aim to explain specifically a symptom, event, that occurs at the present moment or actual problems by using data in the form of quantitative data and qualitative data. The population in the study was as many as 100 heads of families. The sample size in this study was 50 heads of families. The data source consists of primary data and secondary data. Data collection techniques are: questionnaires, interviews, observations and documentation. The data analysis techniques used are qualitative analysis and quantitative analysis. The analsisis technique of spatial patterns uses interpolation techniques. Research results: (1) socio-economic conditions of the Bajoe fishing community when viewed from net income, health, education and housing are still classified in poor or less decent communities (not yet prosperous),, (2) bajoe fishing communities still rely on their own financial capital., (3) the spatial pattern of the fishing community of the Bajoe Tribe forms a grouping pattern.