Information System Study Program Research Articles

IMPLEMENTASI DAN EFEKTIFITAS PENGGUNAAN MOBILE LEARNING TERHADAP HASIL BELAJAR MAHASISWA PROGRAM STUDI SISTEM INFORMASI STIKOM UYELINDO KUPANG

This research was made aiming to implement and improve the effectiveness of learning media through mobile-based mobile learning for all courses in Uyelindo Kupang STIKOM information system students. The research target to be achieved is an additional learning media that is interesting and easy to use so that it can increase student interest and student achievement. This research will discuss how to design, develop and evaluate the effectiveness of using Mobile Learning applications. This application is made so that students can easily access a course material using the Mobile Learning application by Smartphone and also to increase the effectiveness of conducting online lectures at the Uyelindo Kupang STIKOM information system study program. To measure the effectiveness of the use of mobile learning it is necessary to test among them, from the results of the Kolmogorov-Smirnov test using SPSS 16 it is found that the research subjects are normally distributed and based on the results of the Paired Samples Test t-test it is known that the significant value is 0,000> 0,05. While t-count = -11,142 and for t-table at a significant level ? = 5% (0.05) with degrees of freedom (df) n-1 or 50-1 = 49. Two-sided testing (significance = 0.025) results are obtained for t-table = 2 , 00958 with a significant level of 0.025. In the result t-count < t-table (-11.142 <2, 00958) then H0 is rejected and Ha is accepted. So that the use of mobile learning media can improve student learning outcomes at the Uyelindo Kupang STIKOM information system.

Hybrid Learning by Using Brilian Applications as One of the Learning Alternatives to Improve Learning Outcomes in College

Brilian is a hybrid learning application that combines face-to-face learning and online learning. This study aims to analyze the effectiveness of hybrid learning of science management by using Brilian in college. This study was a pre-experiment with one group pre-test and post-test design. The sample of the study were 55 students of Information System study program, Institut Bisnis dan Informatika Stikom Surabaya, Indonesia who were divided into two groups. Before conducting hybrid learning by using Brilian, both groups of students were given a test of learning outcomes and after the learning was completed, students were given the same learning outcomes test again. The collected data was analyzed by using the Wilcoxon test; calculation of normalized gain (n-gain); and the Mann-Whitney U test. The results showed that hybrid learning of science management using Brilian is effective to improve students’ learning outcomes and is indicated by: (1) an increase in students’ learning outcomes which was that was statistically significant at α = 5%, (2) the n-gain mean was in high category, and (3) the n-gain mean was not different in the two students groups.

Pengaruh Motivasi Terhadap Prestasi Belajar Bahasa Inggris Mahasiswa Program Studi Sistem Informasi dan Informatika - FST- UKMC

The objective of this research is to study the impact of motivation on students� achievement in studying English of Faculty of Science and Technology. The reason of carrying out the research is the low scores of the majority students of Computer Information System (SI) and Technology Information (IF) Study Program of Faculty of Science and Technology. The research was conducted at the Computer Information System Study Program and Technology Information Study Program of Faculty of Science and Technology, Musi Charitas Catholic University, Palembang. There were 30 students taken as the samples of the research by using non-probabilities technique. The respondents� profile is based on the gender and the study program. Most of the repondents are male. The number of the students from the Technology Information Program are more than those who come from the Computer Information Study Program. The method used in the research was a survey. The technique of collecting data was using questionnaire for motivation, and for the data of learning achievement is taken from the cumulative scores of the average scores of the daily tests and the final exam. The data was analysed using descriptive statistical method and simple regression analysis. To test the statistics is used the t test. Most of the students have average and low motivation and they also have average and low learning-achievement in studying English. The data analysis and interpretation showed that there is no significant effect of motivation on the students� achievement in studying English.

PENERAPAN ALGORITMA GENETIK UNTUK OPTIMASI SISTEM INFORMASI PENJADWALAN KULIAH (STUDI KASUS PROGRAM STUDI SISTEM INFORMASI UNIVERSITAS KOMPUTER INDONESIA)

The college scheduling activity is a routine activity every semester that is very complicated and draining the mind. In the current system, the information system study program of Indonesian computer universities has used a lecture scheduling information system application for the college scheduling process. However, the application has a disadvantage, namely the scheduling process is still done by manually selecting space, days and hours, and has not implemented the optimization algorithm for the scheduling process, so the scheduling process still requires a long time and is not optimal. Given the importance of this scheduling process, it is necessary to do the optimization steps for scheduling lectures appropriately so that the process of scheduling lectures is faster and schedule conflicts can be minimized so that teaching and learning activities can run well. For this research, we intend to apply genetic algorithms to the scheduling process with the aim of optimizing the lecture scheduling process in the information systems study program. In this research method, the stages of the research will be described as the system development method, research location, and data collection techniques.     The results of this study are that there are no more conflicting schedules after 10 trials were marked with fitness with a value of 0. The conclusion of this research is that by applying genetic algorithms to the college scheduling application, the process of scheduling lectures can be done automatically until there is no schedule conflict and out of 10 experiments, the average time for lecturing schedule was 58.454 seconds (less than 1 minute) and the average was achieved in generation 1,2,3.  Keywords : genetic algorithms, lecture scheduling, chromosomes

Evaluation of Blended Learning Implementation which is Conditioned to Optimize the Mastery of Student Knowledge and Skills

Learning process is part of the E-Procurement courses curriculum in Information Systems Study Program at Widyatama University. All this time, in the face-to-face method of learning process, students have not been able to optimize the mastery of knowledge and skills as expected. One of the things that the Information Systems Study Program did to optimize said mastery is applying the blended learning program in e-Procurement courses. This study uses mixed method evaluation approach in evaluating various stages of the process to implement a blended learning program. Meanwhile, the evaluation method used consists of 2 parts of the model namely 1) CIPP, an evaluation carried out on context, input, process, and product, 2) The Flashlight Triad, an evaluation of activities that utilize information technology online. As the final result of evaluating the implementation of blended learning based on observations and research that has been done, there is an optimization of the increase in mastery of students' knowledge and skills, after conducting various activities that are conditioned on face-to-face activities combined with online ones. The results of this evaluation mean that a well-conditioned blended learning program can influence students in terms of motivation, therefore mastering the knowledge and skills of a course can be optimized through the student learning experience.

Computer science students simulation in capturing tacit knowledge by using NGT for reducing traffic jam

The subject knowledge management systems is one of the main courses in information systems study program, faculty of computer science. This course is offered at A concentration for students in semester 5 (five). Knowledge consists of knowledge explicit and tacit. To capture tacit knowledge, it can be done by involving a number of methods, namely: 1) Brainstorming, and 2) Nominal Group Technique. The study also involves a number of social information technologies, such as: 1) Facebook, 2) WordPress, 3) DropBox, and 4) YouTube. The topic for the theme of knowledge is how to reduce traffic jam. After passing 2 (two) simulation rounds, this research get 8 (eight) ideas suggestion related to vehicle parking in an effort to reduce traffic jam. The tacit knowledge capture simulation with NGT is able to provide acceptable suggestions by all the panelists involved. The use of social information technology in this study also received a very good response from the panelists.

Menumbuhkan Minat Berwirausaha Mahasiswa Melalui Kecerdasan Emosional

This study was conducted to determine the effect of emotional intelligence on students’ entrepreneurship interest at semester VI Department of Information Systems Study Program Information System of Sampit Darwan Ali University Academic Year 2016/2017. This study used quantitative methods using survey technique. The subjects of the study were 92 students. Data collection techniques use a questionnaire fulfilled the requirements of validity and reliability. The technique of validity test used correlated item-total correlation and reliability test of Cronbach's alpha. In this study, the instrument used was questionnaire by using the likert scale. The data analysis technique used was a simple linear regression analysis fulfilled the analytical prerequisite, such as the test of normality, linearity and autocorrelation. This study revealed that emotional intelligence was moderate 70.65% and entrepreneurship interests were also moderate 67.39%. The result of analysis showed that there was an influence of emotional intelligence to student entrepreneur interest. Coefficient of determination (r2) was 0.265. It meant that emotional intelligence could foster interest in entrepreneurship student.

Perancangan Website Program Studi Sistem Informasi Institut Informatika Dan Bisnis Darmajaya Bandar Lampung

Informatics & Business Institute (IBI) Darmajaya is a private university that prioritizes thr implementation of information technology advancement and business. The information system study program is one of the major in this campus. However, it did not have service facilities that eased the students, alumni and lecturers to gain information abaut the information system. The system development method used in the study was RUP (Rational Unified Process) to be used at the system development with these phases : Inception, Elaboration, Construction and Transition. One the website of the information system study program of IIB Darmajaya Bandar Lampung obtained and proposed would ease the study program of information system to give information to the students, alumni, and lecturers. Tthe data security was wholly managed by administration of information system study program. All information availabel on the website of the study program of information system was inputted into the database, so the problem in inputting faults would be established.Keyword: Website; Study Program of Information System; RUP Method

Application of fuzzy C-Means Algorithm for Determining Field of Interest in Information System Study STTH Medan

Many students are confused in choosing their own field of specialization, ultimately choosing areas of specialization that are incompatible with a variety of reasons such as just following a friend or because of the area of interest of many choices without knowing whether they have Competencies in the chosen field of interest. This research aims to apply Clustering method with Fuzzy C-means algorithm to classify students in the chosen interest field. The Fuzzy C-Means algorithm is one of the easiest and often used algorithms in data grouping techniques because it makes efficient estimates and does not require many parameters. Several studies have led to the conclusion that the Fuzzy C-Means algorithm can be used to group data based on certain attributes. In this research will be used Fuzzy C-Means algorithm to classify student data based on the value of core subjects in the selection of specialization field. This study also tested the accuracy of the Fuzzy C-Means algorithm in the determination of interest area. The study was conducted on the STT-Harapan Medan Information System Study program, and the object of research is the value of all students of STT-Harapan Medan Information System Study Program 2012. From this research, it is expected to get the specialization field, according to the students' ability based on the prerequisite principal value.

Improving Graduates' Employability in It Field. The Case of Accounting and Information Systems Study Program

Abstract The studies published in 2015 analyzing the need for human resource in Iasi IT market (the most representative market for the North-East of Romania) conclude that the demand for specialists exceeds by far the number of graduates from faculties which train IT specialists. Nationwide, within the FEBA2, the employment rate for the students that complete the Economic Informatics undergraduate program and different master programs that specialize students in BIS3 is approximately 95%. We strongly believe that the students graduating the program AIS4 could get a higher employability in the IT area and appropriate improvement measures would beneficially contribute to a higher rate of employability, but also to the diversification of their professional horizon and their adjustment to the IT field requirements for professional accountants nowadays. The research also attempts to determine the profile of AIS graduates and their compatibility with IT related positions in the labour market and graduates' employability in terms of knowledge, skills and attributes relevant to the employers' needs.