A non-smoking area (KTR) is a room or area that is declared prohibited from engaging in smoking, producing, selling, advertising, promoting, or promoting tobacco products. The problem of smoking is still a national problem that needs to be continuously addressed, because it involves various aspects of problems in life, namely economic, social, political aspects, especially health aspects. It is estimated that more than 40.3 million children live with smokers and are exposed to cigarette smoke in their environment and are referred to as passive smokers. Meanwhile, we know that children who are exposed to secondhand smoke can have an increased risk of developing bronchitis, pneumonia, middle ear infections, asthma, and slowed lung growth. This early health damage can cause poor health in adulthood. Even non-smoker adults who are constantly exposed will also have an increased risk of lung cancer and other types of cancer. K-Medoids Clustering Algorithm is one algorithm used to group data.The data used are the data of 34 provinces implementing non-smoking areas obtained from the Indonesian Health Office. The data will be grouped into two clusters namely high and low clusters. The results obtained are expected to be input to the relevant agencies in implementing the non-smoking areaKeywords : Data Mining, K-Medoids, Clustering, non smoking area.

The good effects of globalization are not felt by all countries. Lower-middle-income countries are constrained by ineffective or poorly implemented economic policies in those countries. One indicator of this ineffectiveness is the low rate of controlling rent-seeking in lower-middle-income countries. Therefore, this study analyzes the effect of controlling rent-seeking on the economic growth of lower-middle-income countries. It is important to study where economic growth has an important role in the economic development of lower-middle-income countries. This study also uses control variables such as capital formation, population, and lag of economic growth through the Partial Adjustment Model (PAM) approach. Based on the results of regression testing that has been carried out, controlling rent seeking and capital formation is known to have a positive and significant effect on economic growth in lower-middle-income countries. Meanwhile population has a negative and significant effect on the economic growth of lower-middle-income countries.

Begomovirus infecting eggplants were detected by the polymerase chain reaction (PCR) in total nucleic acid preparations of eggplant leaf samples. This study aimed to detect and identify the Begomoviruses infecting eggplants of Yumi F-1 variety from the leaf samples collected from Pajar Agung Village, Pringsewu Regency, Lampung Province, Indonesia. The identified TYLCKaV was inoculated to eggplants, tomatoes, and chili peppers to evaluate its phathogenicity according to disease simptoms. The Results confirmed that Begomoviruses are responsible for eggplant leaves. Based on phylogenetic tree of AC2 and ORF AC1 sequence, the Begomovirus showed high homology with Tomato yellow leaf curl Kanchanaburi virus (TYLCKaV) infecting Capsicum annum and C. melongena. The result showed that the inoculated plants expressed symptom variations, such as yellowing, leaf edges rolling up, apical shoots to permeate, vein banding, little leaf, and dwarf.