Tujuan penelitian ini untuk mengetahui pengaruh iklim organisasi sekolah, budaya kerja guru, kepuasan kerja terhadap komitmen kerja guru baik secara parsial maupun secara simultan. Penelitian ini menggunakan metode kuantitatif, sampel dari penelitian ini keseluruhan populasi semua guru SMA Negeri I Dolok Batu Nanggar yang berjumlah 52 orang guru. Teknik pengumpulan data yang penulis lakukan dalam penelitian ini dengan melakukan pengamatan langsung ke lokasi penelitian untuk memperoleh gambaran suasana tempat kerja, proses kerja dan hal-hal lain yang diperlukan serta membagikan kuisioner atau angket penelitian kepada seluruh populasi sebanyak 52 orang guru SMA Negeri I Dolok Batu Nanggar. Teknik analisis data dalam penelitian ini menggunakan analisis deskriptif dan analisis regresi linier berganda. Hasil penelitian ini menjelaskan bahwa variabel iklim organisasi sekolah  berpengaruh positif dan signifikan terhadap komitmen kerja guru sebesar 19%. Variabel budaya kerja berpengaruh positif dan signifikan terhadap komitmen kerja guru 29.90%. Variabel kepuasan kerja guru berpengaruh positif dan signifikan terhadap komitmen kerja guru 61%. Variabel iklim organisasi sekolah, budaya kerja dan kepuasaan kerja guru berpengaruh positif dan signifikan terhadap komitmen kerja guru  sebesar 71.20%, sedangkan sisanya sebesar 28.80% dipengaruhi oleh faktor-faktor lain yang tidak diteliti. AbstractThe purpose of this study was to determine the effect of organizational climate, job culture teachers, job satisfaction of high school to job commitment of teachers either partially or simultaneously. This study uses quantitative methods, the sample of this study is the overall population of all teachers in high school 1 of Dolok Batu Nanggar totaling 52 teachers. The data collection techniques used in this study were direct observations to the research location to get a picture of the atmosphere of the workplace, work processes, and other things needed and to distribute questionnaire research to the entire population of 52 teachers in high school 1 of Dolok Batu Nanggar. Data analysis techniques in this study used descriptive analysis and multiple linear regression analysis. The result variable of the organizational climate of school influence positive and significant to job commitment of teachers is 19%. Job culture teachers' variable influence positive and significant to job commitment of teachers is 29.90%. Job satisfaction of high school variable influence positive and significant to job commitment of teachers is 61%. Variable of organization climate of school, job culture teachers, and job satisfaction of high school influence to job commitment of teachers is 71.20%, while the remaining is 28.80% influenced by other factors not examined.

The Indonesian tourism sector currently contributes approximately 4% of the total economy. In 2019, the Indonesian Government wants to increase this figure to double to 8% of PDB (Produk Domestik Bruto), a target that implies that within the next 4 years, the number of visitors needs to be doubled to approximately 20 million tourists. This study discusses the Application of Clustering in Grouping the Number of Foreign Tourist Visits by Nationality and Month of Arrival by the K-Means Method. The source of this research data was collected based on data on the number of foreign tourist visits produced by the National Statistics Agency. K-Means clustering is one of the data mining techniques that gives a description of an item's cluster. The purpose of this study is to classify the number of foreign tourists in Indonesia. The results of this study are grouping the number of foreign tourist visits grouped by two clusters (high and low), high clusters of 4 countries and low clusters of 87 countries. Countries that are included in the lower clusters can be used for the Government of Indonesia in terms of improving existing facilities in tourist attractions so that visiting tourists will increase in the future.

School facilities are learning facilities and infrastructure. Study rooms, study rooms, sports halls, prayer rooms, arts rooms and sports equipment. Means of learning to read textbooks, reading books, school laboratory tools and facilities and various other learning media. This study discusses the application of the K-Medoids method in grouping villages that have school facilities based on the province and education level. Data sources used from the National Statistics Agency (BPS). This study uses data mining techniques in data processing using the k-medoids clustering method. The k-medoid method is part of a fairly efficient grouping of partitions in small datasets and looks for the most representative points. The advantages of this method can overcome the shortcomings of the k-means method that is sensitive to outliers. Another advantage of this method is that the results of the grouping process do not match the entry sequence of the dataset. Grouping k-medoid method can be applied to the percentage of facilities based on the province, so that provincial grouping can be determined based on the data. From the grouping data, 3 clusters were obtained, namely a low cluster of 15 provinces, a moderate cluster of 16 provinces and a high cluster of 3 provinces from the percentage of school facilities in each province. It is hoped that this research can provide information to the government about data collection of school facilities in Indonesia which discusses examiners in the provision of school facilities in Indonesia.

The purpose of this research is to determine the vocational division of the acceptance of new students that will be taken by the author with data mining techniques using a priori algorithm method. The data source used is to make observations. Match predictions can be obtained based on the results of comparisons with other students who have similarity data with student A. By using a priori algorithm obtained results that involve a collection of items that often with a high value of trust. The results of this study are data that group prospective new students based on their desired majors with a minimum support of 50% and a minimum trust of 50%, making 20 rules that are set aside. One of the rules that is formed is if the student chooses a fashion major (A4) then the department that is more suitable for students is hair and skin (A2) with a support value of 0.5 or equal to 50 and trust 100 to 0.5 or equal to 50 It is hoped that this information can provide advice to the public vocational school 1 Siantar.

The purpose of this study was to screen toddlers who were experiencing severe malnutrition according to province. Sources of research data used were obtained from the Ministry of Health of the Republic of Indonesia. The variables used are toddlers who experience malnutrition according to the Province. In this study using Data Mining Techniques using the K-means algorithm. It is expected that the results of this study can provide input to the central government to pay more attention to nutritional intake in infants, so as to increase the growth and development of toddlers in Indonesia. . And the data obtained by high clusters are 15 Provinsi yaitu (Aceh, Sumatera Utara, Nusa Tenggara Barat, Nusa Tenggara Timur, Kalimantan Barat, kalimantan Tengah, Kalimantan Selatan, Sulawesi Tengah, Sulawesi Selatan, Sulawesi Tenggara, Sulawesi Tenggara, Gorontalo, Sulawesi Barat, Papua Barat, Papua), dan cluster rendah ada 19 yaitu (Sumatera Barat, Riau, Jambi, Sumatera Selatan, Bengkulu, Lampung, Kep. Bangka Belitung, Kep. Riau, Dki Jakarta, Jawa Barat, Jawa Tengah, DI Yogyakarta, Jawa Timur, Banten, Bali, Kalimantan Timur, Kalimantan Utara, Sulawesi utara, Maluku Utara).