Thesis examination is one of the requirements to complete a graduation course. At the Department of Informatics Engineering Universitas Surabaya, thesis examination begins with organizing the exam timetable to determine the time, examiner, and room by using traditional scheduling system. The disadvantage of the system is that the process takes a relatively long time, which is influenced by factors such as the lecturer's work schedule and the availability of the room. Program coordinator responsible for the organization of the thesis timetable must perform a thorough analysis so that the schedule does not clash with the teaching schedule and the availability of the room. In addition, the number of lecturers as examiner between one and the other has to be distributed equally. To facilitate the program coordinator, a web-based system using genetic algorithm was developed for the efficiency of thesis examination timetabling. Testing and evaluation process are conducted by taking a random respondent in accordance with the user category. The results show that the system developed can improve the efficiency of time, effort, and cost.

The dropout rate and the percentage of students who graduate on time are some of the problems at higher education institutions. Various research has been conducted to overcome these problems, one of which is predicting student performance. The results of student performance predictions can be used as an early warning for students, lecturers and institutions to prepare a strategy so that students who are predicted to "fail" can succeed at the end of the class. However, not all predictor variables that have significant effects on the model can be obtained at the beginning of the class. The purpose of this research is to develop a two-stage prediction model to determine the passing of each student from the courses undertaken. The first stage of the prediction model was developed at the beginning of the class while the second was developed at the end of the eighth week by adding two predictor variables, namely the score of the mid term test and the number of attendance in class. The two predictors were added to improve the performance of the predictive model. Four different methods are used in the prediction: Decision Tree, Random Forest, Support Vector Machine, and Logistic Regression. In testing, all performance measures of LogisticsRegression method were superior to other methods both in the first and second stages. It is also seen that the addition of predictor variables was able to increase the accuracy, recall, and F1measure values of all prediction models by up to 7%.

AbstrakAnak adalah calon generasi penerus bangsa yang perlu disiapkan sejak dini sehingga mampu menjadi Sumber Daya Manusia (SDM) penerus bangsa yang berkualitas. Proses untuk menyiapkan SDM yang berkualitas seharusnya sudah dimulai sejak perencanaan pernikahan, masa kehamilan, kelahiran, anak, dewasa, hingga lansia. Masa yang paling kritis adalah masa kehamilan dan kelahiran sampai dengan usia 1000 hari pertama kelahiran. Untuk itu, pada usia tersebut diperlukan zat gizi yang bermutu dan memadai. Pemerintah bertanggungjawab untuk menyediakan sarana dan prasarana kesehatan sehingga masyarakat dapat memperoleh layanan kesehatan yang layak secara merata. Pelayanan yang diberikan oleh puskesmas Sawahan terutama diperuntukkan bagi masyarakat di kelurahan Sawahan dan Petemon. Berdasarkan data direktorat gizi masyarakat tahun 2018 menunjukkan bahwa jumlah balita gizi kurang di kelurahan Sawahan dan Petemon masih cukup banyak. Apabila balita gizi kurang yang ada di kelurahan Sawahan dan Petemon tidak segera ditangani dengan baik, maka balita tersebut berpotensi berubah status menjadi gizi buruk. Potensi permasalahan mitra di wilayah kerja puskesmas Sawahan adalah gizi kurang pasca kejadian balita gizi buruk dapat berpotensi menjadi kondisi stunting. Oleh karena itu, tim Abdimas dari Universitas Surabaya berinisiatif untuk membantu puskesmas Sawahan melalui kegiatan pemberian makanan tambahan yang dilakukan beberapa tahapan seperti sosialisasi, demo masak, monitoring dan evaluasi, dengan tujuan untuk memberikan edukasi pada ibu yang memiliki batita, agar dapat memberikan makanan yang sesuai dengan usianya. Hasil awal kuisioner adalah 83 % peserta posyandu mengetahui tumbuh kembang anak dan lebih dari 50 % Ibu peserta posyandu hanya sebulan sekali komunikasi dengan tenaga kesehatan. Kata Kunci: batita gizi kurang, pos pelayanan terpadu (posyandu), edukasi AbstractChildren are prospective candidates for the next generation that need to be prepared early so they are able to become qualified human resources (HR). The process of preparing quality human resources should have been started since planning the wedding, the period of pregnancy, birth, child, adult, until the elderly. The most critical period is the period of pregnancy and birth until the age of the first 1000 days of birth. For this reason, at that age, quality and adequate nutrients are needed. The government is responsible for providing health facilities and infrastructure so that the community can obtain equitable health services equally. The services provided by the Sawahan Community Health Center are mainly for the people in Sawahan and Petemon villages. Based on data from the directorate of community nutrition in 2018 shows that there are still a large number of malnourished children under five in Sawahan and Petemon villages. If underweight children under five in Sawahan and Petemon Subdistricts are not immediately handled properly, the toddler has the potential to change status to malnutrition. Potential partner problems in the Sawahan Health Center work ar...