This study aims to provide the right solution in overcoming the problem of selection for prominent class students senior high school at SMAN 2 Pematangsiantar. The solution is to make a decision support system for the selection of prominent class XI IPA students in determining rankings. The method used is the TOPSIS (Technique for Order Performance by Similarity to Ideal Solution) algorithm by using several criteria, namely: Mid Test Score, Final Exam Score, Extracurricular, Personality, and Attitude. The results of student data processing using the decision support system obtained weights of 1, 0.57188272655161, and 0.56259472567445 for rank 1 to rank 3. The implementation of this Decision Support System is beneficial and makes it easier for the school and the homeroom teacher to determine ranking for the selection of prominent class students.

This research was conducted aiming to design a New Student Selection Decision Support System. To help the selection process for new student admissions at the Indonesian Business Polytechnic, a decision support system (SPK) was designed to help the data processing of prospective new students who register using the Weighted Product (WP) method. This Weighted Product method is done by using multiplication to link the attribute rating, where the rating of each attribute must be raised first with the weight of the attribute in question. The criteria used in this Decision Support System consist of: capacity, achievement, academic tests, age, and passing scores. From the sample of data examined, the ranking results were found to be the best value of prospective students with a value of 0.0841 and 0.0791.

Control of population is one of the tasks of the government in Indonesia. The increase and movement of population in each region makes a certain area to defeat changes in population surging, and this can affect the economic level of the area. This study aims to process the population of Pematangsiantar City in 2018 which is divided into age groups, namely: Toddlers, Young Children, Early Adolescents, Late Adolescents, Early Adolescents, Late Adulthood, Early Adulthood, Elderly, Late Elderly, and Upper Seniors. Data processing is done by using K-Means method clustering in accordance with the population of Pematangsiantar City per district. With this grouping, we can see that the number of population in each sub-district is based on each age group so that we can implement programs that are more appropriate in improving human resources.

Materi Keselamatan dan Kesehatan Kerja (K3) merupakan salah satu topik pembahasan pada mata pelajaran di Sekolah Menengah Kejuruan (SMK). Hal ini tentu berguna bagi para calon lulusan SMK untuk menekan angka risiko kecelakaan atau gangguan kesehatan selama aktivitas pembelajaran di sekolah. Kegiatan ini bertujuan untuk mengedukasi warga sekolah tentang faktor risiko dan bahaya yang bisa timbul sebagai dampak dari aktivitas di sekolah. Pengabdian ini dilakukan di SMKS Methodist di Tanjung Morawa, Kabupaten Deli Serdang, Sumatera Utara. Kegiatan ini dilakukan bersama PT. Emcotama sebagai mitra Dunia Usaha/Dunia Industri (DUDI). Sebanyak 30 peserta didik dari SMKS Methodist di Tanjung Morawa dilibatkan dalam kegiatan ini. Hasil dari angket yang disebarkan menunjukkan bahwa 94%-95% peserta kegiatan setuju bahwa tempat penyelenggaran dan fasilitas sesuai standar K3. Selain itu, seluruh peserta menyatakan bahwa narasumber dinyatakan layak. Secara teori/praktik, 90,5% peserta menyatakan bahwa praktik yang dilakukan dalam kegiatan ini memenuhi standar K3. Sebanyak 95% peserta sepakat bahwa kegiatan memiliki manfaat dan nilai tambah bagi mereka. Kegiatan ini mencapai keberhasilan dengan hasil lebih dari 89% peserta menyatakan kepuasan mereka terhadap kriteria materi, narasumber, konsumsi, serta fasilitas yang diperlukan selama kegiatan berlangsung. Kegiatan PKM dalam bentuk edukasi mengenai risiko dan bahaya yang berpotensi muncul sebagai akibat dari berbagai aktivitas yang dilakukan di dalam lingkungan sekolah telah terlaksana dengan baik. Hal ini diindikasikan dari lebih dari 90% peserta paham mengenai dasar-dasar K3 dan praktik pelaksanaannya yang sudah memenuhi standar K3. Aspek yang perlu mendapat perhatian adalah durasi kegiatan yang perlu diperpanjang karena meliputi sisi praktik untuk mendapatkan hasil yang lebih optimal.

Universities are not only required to provide services for students, but also must be able to compete to maintain service quality. This demand is absolutely necessary in order to create a loyalty for the community which will become valuable capital for an organization in the future. This study aims to recommend the satisfaction of Indonesian business polytechnic students by using the C4.5 data mining classification technique. Sources of data were obtained from questionnaires distributed via google form to final semester students (class of 2018) at the Indonesian Business Polytechnic. The attributes used to assess visitor satisfaction include: Tuition Fee Tariff, Campus Facilities, Administrative Services, Lecturer Services, Recommendation Level. The results of data processing using the C4.5 method through the RapidMiner tools obtained an accuracy value of 80.00%, precision 79.19%, and recall 79.19% with Satisfied criteria.