Information System Study Program Research Articles

Student Professional Practice Management Information System At UIN Raden Fatah Palembang

Professional Practice (Internship) is one of the mandatory subjects in the Information Systems Study Program. Activities that occur during the implementation of the Professional Practice course are still conventional and not paperless. Moreover, there are several obstacles, such as students having difficulty finding a place for practical work because the study program does not yet have a list of companies that can do this activity. Moreover, it is also difficult for the Study Program to monitor whether students carry out activities appropriately. So that the Information Systems study program requires a Management Information System, which can assist the study program in carrying out practical work activities. The Management Information System built is web-based and uses the Waterfall method. From the research results, Management Information Systems assist students in registering and collecting reports; the study program makes it easier to assess and monitor students and makes document management easier.

Information system design for alumni of Ma Chung University's information systems study program

The Alumni Information System is needed to help and make it easier to manage alumni data, a forum for communication between alumni and study programs, alumni and lecturers, alumni with alumni themselves, and alumni with their younger siblings (active students). So this research was made to help solve the problems of the Ma Chung University Information Systems Study Program to manage data and maintain close familial relationships between alumni and study programs.

The Impact of Project-Based Collaborative and Participatory Learning Models on Student Achievement and Recognition Faculty of Computer Science Narotama University

Purpose: This study aims to determine the influence of project-based collaborative and participatory learning on student achievement and recognition, especially at the Faculty of Computer Science, University of Narotama (Unnar).
 Design/methodology/approach: The model is carried out by involving the Information Systems and Informatics Engineering Study Program. It analyzes the relationship between the variables associated with the learning model.
 Findings: The results showed a significant effect of collaborative and participatory learning on educational accomplishments and understanding. 
 Originality/value: This paper is original
 Paper type: Research paper

Prediction Of Graduation Time For Students Faculty Of Computer Science Amikom University Yogyakarta Using Naïve Bayes Method

The graduation rate on time in college cannot be taken lightly. In many cases, it is found that there is an imbalance in the number of students who enter and who have completed their studies so that there is a high accumulation of the number of students in each batch. It is necessary to know the factors that cause students not to graduate on time. Data classification techniques can be used to predict the timeliness of student graduation. The algorithm used is the Naïve Bayes algorithm with data from 122 students from the Informatics Engineering and Information Systems study program at the Faculty of Computer Science, AMIKOM University, Yogyakarta. Based on the results that have been carried out, it can be concluded that the Naïve Bayes algorithm is applied accurately to predict the timeliness of students' graduation. The results of testing the level of prediction accuracy resulting from the trial reached 90.16%.

Improving the Learning Effectiveness of Information System Analysis and Design Courses with Collassion Learning

The information systems analysis and design course are compulsory in the Information Systems Study Program. The majority of the graduate profiles demonstrate a great level of experience as systems analysts. Every year the number of students in this program at the University of Technology, Mataram, with scores below B is average 37.35%. This value corresponds to the annual student population being unable to conduct the course activities effectively. Therefore, the purpose of this research is to generate an appropriate learning model for the information system analysis and design course to improve higher-order thinking skills. The methodology involved research and development (R&D) that combines two learning development models, termed research and information collection. This research occurs as the first stage of Borg & Gall’s model and the Step of System Approach Model of Educational Research and Development, adapted from Step Learning Design by Dick & Carey. Based on the analysis results of student demands, literature review, and the reference to existing problems, the need to develop a learning model for the information systems analysis and design course appears very essential. This is achieved by adopting a problem-based learning model known as “Collassion”, mainly supported by information and communication technology in relation to collaboration and discussion. A validity test was subsequently performed by 4 experts and the model effectiveness was determined, using product effectiveness analysis. The posttest average score was attained at 81.21, with 82.76% of student completion rate in accordance with the specified minimum competency standards. This score has increased significantly up to 72.41% from the pretest mean value at 43.69, with a percentage of completeness of 6.90%. Furthermore, the effectiveness test results showed the ability of Collassion Learning in enhancing the learning effectiveness of the sample course.

PENERAPAN DATA MINING PADA PENERIMAAN MAHASISWA BARU DENGAN ALGORITMA K-MEANS CLUSTERING

This paper aims to grouping data using Clustering method with k-means algorithm to find potential majors and type of schools that produce feature students who have a good GPA score in semester 1 and semester 2 at Politeknik STMI Jakarta. Dataset from academic data for 2017-2020 has been processed with Rapid Miner showing that in Automotive Business Administration study program there are 3 clusters of students where cluster 0 marked as best cluster is dominated by high school students majoring in Science and Social Sciences. Automotive Industry Information System study program produces 2 clusters of students where cluster 0 marked as best cluster is dominated by high school students majoring in science and vocational high school majoring in mechanical engineering. Automotive Industrial Engineering study program produces 2 clusters of students where cluster 1 marked as best cluster is dominated by high school students majoring in science. Polymer Chemical Engineering study program produces 6 student clusters where cluster 4 marked as best cluster which all come from high school students majoring in science.

THE EFFECTIVENESS OF “NEURO-COGNITIVE” LEARNING STRATEGY FOR INCREASING SPEAKING PERFORMANCE: STUDY ON NON-ENGLISH DEPARTMENT STUDENTS

English is the unifying international language of world communication. However, English-speaking countries face many problems in their position as a foreign language, so learning strategies and motivation must be emphasized in the learning process. On the other side, communication skills are the most needed skills to prepare for the world of work. Thus, this research with a qualitative method approach is focused on investigating the effectiveness of teaching and training on "Neurocognitive" based learning strategies, with continuous mentoring and injection of motivation. The instruments used are field note observations, questionnaires, interviews, and photo documentation. The subjects of this study were 14 students in the second semester of the 2020/2021 academic year of the Information Systems study program at STMIK Bina Adinata. The results showed that the students' cognitive and non-cognitive skills were improved, especially their speaking performance. However, even though the research team carried out the procedure for providing learning strategy training under the correct stages, the results obtained were less than optimal due to online learning conditions. So it is recommended for further researchers to continue this research by thinking about learning strategies that can be combined for offline and online needs.

HUBUNGAN PERSEPSI TERHADAP METODE PEMBELAJARAN DARING DENGAN MOTIVASI BELAJAR MAHASISWA PROGRAM STUDI SISTEM INFORMASI-UKSW

The purpose of this study is to knowing and explaining the influence of the SWCU Salatiga information system student's perception of online learning methods on learning motivation during the Covid-19 pandemic. This type of research is descriptive quantitative. The research subjects used were Satya Wacana Christian University SI (Information System) active students, especially the 2019 and 2020 batches. The data collection technique of this research uses a questionnaire through the Google-Form media. The data that has been collected is then analyzed using univariate analysis techniques and bivariate analysis through the help of SPPS Version 20.0. The result of the study is that there is a relationship between student’s perceptions and learning motivation towards the online learning method of the 2019 and 2020 SWCU Information Systems Study Program during the Covid-19 pandemic.

The Effect of Financial Literature, Lifestyle and Income of Parents on Student Financial Management Behavior

This This study aims to examine the effect of financial literacy, lifestyle and parental income on student financial management behavior. This research is quantitative research using an analytical tool, namely the Statistical Product and Service Solution or SPSS software. The population in this study were active students of STMIK AKBA in the information systems study program. The sampling technique used is simple random sampling, which is a random sampling technique without regard to the existing strata in the population. The number of samples in this research is 125 students. Data collection techniques used questionnaires and observations with financial literacy variables (X1), Lifestyle (X2), parents' income (X3) and financial management behavior (Y). The results showed that financial literacy had a positive and significant effect on the financial management behavior of students, while the lifestyle and income of parents had no effect on the financial management behavior of STMIK AKBA students.

Pengambilan Keputusan Dalam Menentukan Media Pembelajaran Online Pada Masa Pandemi Menggunakan Metode AHP dan TOPSIS

STIKOM Tunas Bangsa is one of the computer science colleges located in Pematangsiantar City. Due to the Covid-19 Pandemic Period, the teaching and learning process is carried out online at their respective homes by students and lecturers. Sources of data obtained by interview and direct observation to students. The author's goal in this study is to determine the best learning media in the Information Systems Study Program at STIKOM Tunas Bangsa by using a combination of TOPSIS and AHP methods. With the given material variables, What'sApp variables, Classroom variables, and E-Learning variables, Google Meet variables and Zoom variables. The result of this study is the increase in the learning process and understanding of students during the Covid 19 Pandemic

ERROR ANALYSIS OF SIMPLE PRESENT TENSE SENTENCES IN ENGLISH BY INFORMATION SYSTEMS STUDENTS

This research is a qualitative descriptive research. The purpose of this study was to determine students' understanding in making simple sentences with simple present tense patterns, the types of grammatical errors made by students in making simple sentences with simple present tense patterns, grammatical errors that generally occur in making simple sentences with simple present tense patterns. The subjects of this research are students of semester 1, class A, Information Systems study program. The data collection technique was done by written test. In the written test, the researcher used a written test instrument in the form of English questions about the simple present tense. The written test questions are in the form of multiple choice and essay. The test questions are divided into 3 parts in the tryout test, namely completing sentences, making sentences, and translating sentences. In the third meeting, students complete sentences, answer questions and make a simple present tense paragraph. Based on the research, it was found that: after students were given another explanation about simple present tense sentences, 20 students out of 27 students (74%) answered using simple present tense sentences correctly. It can be said that there has been a 26% increase in understanding of simple present tense sentence patterns.

C4.5, K-Nearest Neighbor, Naïve Bayes, and Random Forest Algorithms Comparison to Predict Students’ On Time Graduation

Study program performance can be seen from the achievement of accreditation status, where one of the assessment instruments related to the graduate profile is the length of study. Graduation on time is one indicator of student’s success in obtaining a bachelor's degree and is an important attribute, because by being able to predict the period of study, universities can minimize student graduation failures by making more intensive planning, study escort, and guidance. Data mining classification techniques can be used to predict students graduation on time. Many data mining classification algorithms can be used, so it is necessary to make comparisons to determine the level of accuracy of each algorithm. The algorithms that will be compared in this study are C4.5, K-Nearest Neighbor, Naive Bayes, and Random Forest. The data used were 2,022 graduates from Informatics Engineering and Information System Study Program of STMIK Mikroskil Medan from 2011 to 2014, in which the attributes used include gender, regional origin, time of study, grade of Entrance Screening Examination, and Grade Point Average (GPA). The results of the classification process are evaluated using cross validation and confusion matrix to determine the most accurate data mining classification algorithm for predicting student graduation on time, where the K-Nearest Neighbor and Random Forest algorithms have the highest accuracy of 72,651%, followed by the C4.5 algorithm 72,453%, and the Naive Bayes algorithm 71,860%.

THE DEVELOPMENT OF WEB-BASED CREDIT TRANSFER APPLICATIONS IN THE FACULTY OF SCIENCE AND TECHNOLOGY UNIVERSITAS TERBUKA (A CASE STUDY IN THE INFORMATION SYSTEM PROGRAM)

The implementation of credit transfer at Universitas Terbuka refers to the Rector's Regulation Number 119, 2018. This credit transfer could only be carried out once when students registered themselves at very first time. Recognition of credit transfer is accepted whn accomplishment of courses have been obtained from their previous universities. Through the provision of credit transfer recognition services, students are expected to be able to finish their study faster. Students can apply for credit transfer through the Faculty which would then be proceed by Study Program. Students are required to collect documents such as diplomas, transcripts, descriptions of courses at their previous university, and the submissions for courses intended to be transferred for credit. The documents which are in form of print out would later be processed in their respective Study Programs. During the process, the Study Program compiled the documents manually by recording and determining the courses approved for credit transfer. However, the study Program hasn’t used a special application. Due to this limitation, several problems occurred in the process, such as the absence of filing the credit transfer application documents, the ineffectiveness of storing the credit transfer master block in the Study Program, and the large number of credit transfer applications. These problems often result in delays in the credit transfer process, thus disrupting academic services for students. Therefore, it is necessary to develop a credit transfer application that can assist in the implementation of credit transfer in the Faculty of Science and Technology. The methodology used to develop this credit transfer application is the waterfall model. For design modeling using UML (Unified Modeling Language), while software testing uses Black Box Testing and usability and acceptance tests applied the PSSUQ (Post-Study System Usability Questionnaire) method. From the results of the tests, it showed that Black Box Testing got test results of 100%, while the usability and acceptance tests using the PSSUQ method got 68% of respondents. The conclusion of this study showed that the application is ready to use and the users Agree/Good/Like on the development of a web-based credit transfer application at the Faculty of Science and Technology of the Universitas Terbuka (case study of Information Systems Study Program). Kata kunci: Credit transfer, Web, Waterfall, , Black Box Testing, PSSUQ.

KLASIFIKASI FAKTOR PENYEBAB RENDAHNYA MINAT MAHASISWA DALAM MENULIS ARTIKEL ILMIAH

Scientific articles are scientific articles in the form of reviews and research to be published in reputable scientific articles. This is one of the main things that becomes a reference for students in higher education during their studies and at the end of their studies. then the problem that must be faced is how to classify the factor of low student interest and being able to increase student interest in writing scientific articles. The factors of low student interest in writing scientific articles are the level of understanding, motivation, difficulty level, time, and infrastructure. The data used comes from questionnaire data from students of the 2016 batch of information systems study program. It has been obtained that the factor classification of the low interest of students in writing scientific articles is the factor that has top priority on the factor of low student interest is the infrastructure. The results showed that the C4.5 Decision Tree Algorithm was accurate for classifying the factors of low student interest in writing scientific articles with an accuracy rate of 100%.

Evaluasi User Experience Platform Video Communication dengan User Experience Questionaire (UEQ)

The learning from home (home-based learning) and working from home (work from home) policy which has been going on for more than 1 year since March 2020 after being set by the Minister of Education and Culture (Kemendikbud) has brought many changes in the way to work and study for the academic community, especially students and lecturers. This is also felt by the academic community at STMIK Mikroskil, especially in Information Systems study program who changes their learning from offline to online by utilize various available application platforms such as Microsoft Teams and the Zoom application, especially for its video conferencing features as audio-visual media. With the use of both communication platforms in online learning activities, it is necessary to evaluate its user experience as information to support decision making in order to improve learning management and academic activities in university environment. However, this evaluation activity has never been carried out for the two applications that being used. This study aims to measure the user experience of Microsoft Teams and the Zoom application, especially for its video conference to support the lecturers and students in Information Systems Study Program at STMIK Mikroskil. This measurement is intended to predict and compare the ability of technology elements in the form of user experience of those two applications through an analytical study by applying the User Experience Questionnaire (UEQ) method. The target respondents are lecturers and students, especially in the Information Systems study program in the STMIK Mikroskil environment. The results showed that the comparison of the Microsoft Teams means value was superior to the Zoom application. Therefore, Microsoft Teams is a video conferencing and communication platform that is preferred by students and academics of the STMIK Mikroskil Information Systems study program compared to the Zoom application

VIDEO LAYANAN MASYARAKAT : MEMPERKENALKAN POTENSI ALAM DAN WISATA LAUT BANTEN UNTUK MENINGKATKAN PARIWISATA INDONESIA

Abstract
 Banten Province's natural resources have characteristics ranging from land to sea. Dataran Banten has a superior commodity in the field of plantations while the sea of Banten has an advantage in the field of fisheries. Banten province has an area of sea area reaches 11,500 km2, this can be used for marine tourism and of course the people of Banten even indonesians should know the potential. One of the tourism potentials in Banten is anyer beach, Karang Taraje beach, Karang Bolong beach and others. In order to help disseminate the potential of sea tourism in Banten Province, the Marine Information Systems Study Program of the University of Education of Indonesia in Serang created a socialization program through community service videos, with the hope to support in improving the Indonesian Tourism Industry. These community service videos are created using video editor applications and models or mascots displayed in designs using Adobe Photoshop and Illustrator applications. Therefore, this community service video has advantages in the quality of animation and infographics, this has an impact on the information provided to be clearer and interesting, in this video the audience will be accompanied by two mascots who will discuss about the potential of nature and tourism, namely Chimo and Sela. This community service video can be accessed on Youtube with the link https://www.youtube.com/watch?v=Lc8nE0edF6U.

Tingkat Formulasi Model Soal dalam Permutasi Acak Menggunakan Algoritma Fisher Yates

The problem model in random permutations results in random randomization of the most commonly used questions in exam practice in education ranging from elementary school to college level and even some agencies that utilize exams to test one's abilities. This Problem Model can produce a high random percentage with more complex processes compared to analogues. Conduct Model Formulations on infinite questions so that they can be easily utilized without complicated calculations. The problems processed in this study are from 50 questions, and 12 students are sourced from the Information System Study Program of STMIK Logika, at Medan Indonesia state. Based on the collection of the question by the head of the study program in charge of the STMIK. Furthermore, the problem is saved into the database. The next stage is to randomize the question based on the number of students taking the exam. The problem has been randomized into a model formulation of the question in a random permutation of the question at the time of the Test practice. The result of the test on this question is a matter of courses. Randomized questions can form a problem model in random permutations based on many questions, the number of questions. All questions are made by lecturers who teach courses and help the study program in the teaching and learning process with the formulation of the problem model.

PENERAPAN METODE PIECES DALAM PENGEMBANGAN SISTEM INFORMASI MANAJEMEN TUGAS AKHIR (STUDI KASUS : PRODI SISTEM INFORMASI UNIYAP)

Information Systems study program is one of the study program at the Yapis University of Papua. One of its academic activities, the processing of the Final Project, has not utilized technology optimally which the collection of final project documents are still in print out. This becomes problems faced by study program administrations such as limited storage space, damage and loss of documents, besides that the costs incurred by students are quite large for printing documents. The purpose of this study is to create an integrated final project management system so that it can facilitate the work of all parties that are directly related to student final project management. The analysis method used in this research is the PIECES method, the UML method as the system design, the waterfall as the development method and the Black box testing method used as testing method. For the data collection process, this research uses interview, observation and literature study techniques. The result of this research is a Final Project Management Information System which aims to make easier for students in managing their Final Projects and for facilitate the study program in managing student Final Projects

Prediksi Kelulusan Mahasiswa Stikom Tunas Bangsa Prodi Sistem Informasi Dengan Menggunakan Algoritma C4.5

Graduation is an important element in an accreditation assessment process of an institution or university. It is important to find out information about the predictions of student graduation in the Information Systems Study Program at STIKOM Tunas Bangsa Pematangsiantar, so that students who cannot graduate on time can be identified earlier. The application of data mining can be used to predict student graduation. Method that often used to predict student graduation is classification method. This research using C4.5 Algorithm. Data that used as training data are from alumni of Information Systems Study Program at STIKOM Tunas Bangsa and the final level student data of Information Systems Study Program at STIKOM Tunas Bangsa used as testing data. Through this research, it is expected that the results can provide information on predictions of student graduation on time and as a suggestion for the university in making good decisions for improvement in the future.

PENGENALAN INTERNET SEHAT PADA SMAN I TIGAPANAH, KABUPATEN KARO, SUMATERA UTARA

A healthy Internet is one of the basic needs of the use of digital technology in various fields, especially in the world of education. Since SMAN I is one of the service partners and is also very close to the center of agriculture and tourism, Community is carried out by the Information System Study Program, Universitas Methodist Indonesia as a form of implementing the Tri Dharma of Higher Education. Its purpose and benefits are to share and contribute ideas and transfer knowledge and technology. This service activity was carried out for a day, with the material including explanations about Internet Sehat (Healthy Internet) and Internet Cakap. This topic is very much needed in the education community to be able to use the internet intelligently, creatively, and productively.