<span lang="IN">Stres akademik merupakan tekanan yang dirasakan oleh individu dalam mencapai tujuan yang diharapkan. Fenomena yang terjadi adalah mahasiswa tidak begitu yakin dengan kemampuan yang dimiliki sehingga menyebabkan stres akademik dalam mencapai tujuan perkuliahannya. Penelitian ini bertujuan untuk mendapatkan gambaran <em>self-efficacy</em> mahasiswa serta gambaran stres akademik mahasiswa di program studi bimbingan dan konseling. Berdasarkan hasil penelitian ditemukan koefisiensi variabel <em>self-efficacy </em>dengan stress akademik mahasiswa dikatakan signifikan dan berkorelasi negatif.</span>

A lecturer assistant is expected to be professional when dealing with the score or decision. Being professional, the lecturer assistant will be constantly respected by the students. The lecturer assistant should be able to make use of the time to keep the disciplinary. Selecting and determining the lecturer assistant at Computer Science of Unika St. Thomas Medan are conducted by the phases of selecting and taking value of the test score, the semester of lecturer assistant candidate, the number of classes to be assisted, cumulative grade point achievement, and the score of the assisted course. The Method of Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) is in the part of Decision Support System introduced by Brauers dan Zavadkas. This method is the multi-objective optimization technique which is successfully applied to solve the various complicated decision-making and well-used in terms of lecturer assistant selection due to its simple calculation and easiness to understand.

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This study aims to identify and analyze the effect of product quality, price and word of mouth on the purchasing decision of Milkita Candy. This study uses marketing management theory with variables (product quality), (price), (word of mouth) and variables (purchase decisions). Researchers determine the population, namely all consumers who decide to buy dairy products. The sampling technique, or non-probability sampling, is used to determine the number of samples. The sample size for this survey is 69 respondents. On the other hand, evaluation, data analysis techniques mostly use linear regression analysis. Based on the results of data analysis, it can be concluded that the product quality variable has a partial effect on purchasing decisions because the product quality variable is important. Second, we can conclude that the price variable has a partial effect on purchasing decisions because price is very important. In addition, the word of mouth variable is also important, so it can be concluded that the word of mouth variable has a positive and significant effect on purchasing decisions. In addition, an important conclusion is taken simultaneously that the variables (product quality), (price) and (word of mouth) have a large influence on the variable (purchase decision) at the same time. Based on the results of data analysis, companies are advised to make alternative pricing strategies that are better and pay attention to the quality of product offerings before the products are distributed. For consumers. The word of mouth variable is also important, so it can be concluded that the word of mouth variable has a positive and significant effect on purchasing decisions. In addition, an important conclusion is taken simultaneously that the variables (product quality), (price) and (word of mouth) have a large influence on the variable (purchase decision) at the same time. Based on the results of data analysis, companies are advised to make alternative pricing strategies that are better and pay attention to the quality of product offerings before the products are distributed. For consumers. The word of mouth variable is also important, so it can be concluded that the word of mouth variable has a positive and significant effect on purchasing decisions. In addition, an important conclusion is taken simultaneously that the variables (product quality), (price) and (word of mouth) have a large influence on the variable (purchase decision) at the same time. Based on the results of data analysis, companies are advised to make alternative pricing strategies that are better and pay attention to the quality of product offerings before the products are distributed. For consumers. (price) and (word of mouth) have a great influence on the variable (purchase decision) at the same time. Based on the results of data analysis, companies are advised to make alternative pricing strategies that are better and pay attention to the quality of product offerings before the products are distributed. For consumers. (price) and (word of mouth) have a great influence on the variable (purchase decision) at the same time. Based on the results of data analysis, companies are advised to make alternative pricing strategies that are better and pay attention to the quality of product offerings before the products are distributed. For consumers.

Academic engagement is important for the smooth learning process. However, in fact the involvement of students in the learning process is minimal. This study aims to determine the effectiveness of positive reinforcement to increase student academic engagement. This study is a single case experimental design, with an A-B-A design research involving one student at Global Madani Junior High School who has low academic engagement. The instrument used in this intervention is an academic engagement rating scale based on the research of Schreiner & Louis. Analysis of the data used is statistical analysis and clinical analysis. The results showed a significant increase in academic engagement through positive reinforcement on scores at baseline A1, intervention, and baseline A2. Teachers and counselors can use various kinds of positive reinforcement to make students actively involved in the learning process.