The use of ICT in education has caused substantial changes in learning and brought many benefits to higher learning institutions. However, the development of ICT in the institution of higher education in Indonesia is a minus value compared to other Southeast Asia countries (e.g., Singapore and Malaysia). This is due to several factors which are the lack of knowledge and lack of motivation, especially in Medan, North Sumatera. Medan as the fourth largest city in Indonesia has a low penetration of ICT utilization compared to the other cities which is smaller than it is. Previous studies have found that there is a positive relationship between variables, which are motivation towards ICT usage, knowledge level towards ICT usage, and ICT usage towards learning process quality. This paper addresses the issue by demonstrating a method of study to identify the impact of ICT usage towards learning process quality by lecturers in Medan, Indonesia. As a result, the application of the quantitative research design and data collection through survey questionnaire was considered as the most appropriate method to receive the outcome of the study. Statistical techniques which are the descriptive statistical analysis and regression analysis methods proposed as the means to analyze the data.

In the problem of determining the proper level of sequence in a sorting problem, the Simple Additive Weighting (SAW) method is an easy-to-use technique. It can analyze cases based on the criteria used. The use of criteria values in this approach has an unlimited amount. The more criteria used, the higher the accuracy of the results obtained. There are two types of criteria, cost, and benefits. Cost is used if the higher the criterion value, the lower the chance to get the top score while the benefit is used if the higher the criterion value, the greater the chance to get the top position. This study explains how to apply SAW algorithm in solving sequence problems in various cases encountered. Using this method will solve decisions that can not be completed manually. It helps the admin in choosing the best decision in any particular instance.

ICT/E-Government has become the crucial issue regarding the developing countries. The technology facilitates to accelerate efforts to improve the performance of the government bureaucracy which so far is considered unable to provide excellent service to society. This paper addresses the issue by demonstrating a recommendation of study to identify the relationship between psychological and technology skill perspectives towards the implementation of ICT usage or E-Government. Attitudes, ease of use and perceived usefulness among government bureaucratic are the strong factor to use the technology. Both TAM and UTAUT are considered to be the underpinning model. As a result, the article expected that the following study would discover the similar results towards the previous studies.

Optimization is the essential thing in an algorithm. It can save the operational cost of an activity. At the Minimum Spanning Tree, the goal to be achieved is how all nodes are connected with the smallest weights. Several algorithms can calculate the use of weights in this graph. Genetic and Primary algorithms are two very popular algorithms for optimization. Prim calculates the weights based on the short-est distance from a graph. This algorithm eliminates the connected loop to minimize circuit. The nature of this algorithm is to trace all nodes to the smallest weights on a given graph. The genetic algorithm works by determining the random value as first initialization. This algorithm will perform selection, crossover, and mutation by the number of rounds specified. It is possible that this algorithm can not achieve the maximum value. The nature of the genetic algorithm is to work with probability. The results obtained are the most optimal results according to this algorithm. The results of this study indicate that the Prim is better than Genetics in determining the weights at the minimum spanning tree while Genetic algorithm is better for travelling salesman problem. Genetics will have maximum results when using large numbers of rotations and populations.

The integration of Information Technology in fish marketing has become a neglected issue in North Sumatera, Indonesia. As located in the Malacca Strait and the Indian Ocean, the territorial waters of North Sumatra expect to bring many benefits to both community and government in the fisheries sector. Marketing as the part of a business to interact the producers and consumers is required to achieve optimal utilization in managing fisheries catches for marine products Marketing Mix as the tactical marketing tools can be applied into IT applications and tools. Promotion, Product, Place, Price, Process, People and Physical Evidence as the 7Ps of Marketing Mix has been touched by the fashion of this technology. This paper proposed five stages should carry out to fulfil an IT–integration fish marketing. Literature review and concepts regarding the relationship between IT tools and fish marketing are critically assessed.