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Massive Open Online Course (MOOC) is defined as an online open-access course available to an unlimited number of students from any location. These online lectures provide convenience and timeliness for students, enabling them to study from anywhere and anytime. With the demand for online learning, universities require a business design model for the MOOC application that will be used as online learning with the hope that it can be carried out continuously and in the long term to support the existence of online learning. The online learning process in Indonesian education in the era of the Industrial Revolution 4.0 and the implementation of the Merdeka Belajar Kampus Merdeka (MBKM). This research aims to create a business model for the implementation of the MOOC application as an open online lecture. The stages of this research method include a literature review study related to business models by the world's leading MOOC platforms, including Coursera, EdX, Udacity, and Udemy. Then analyzed and made a business model using the nine-block canvas method and implemented the MOOC application in the context of the MBKM Curriculum.

One of the public e-government services is a web-based online complaints portal. Text of complaint needs to be classified so that it can be forwarded to the responsible office quickly and accurately. The standard classification approach commonly used is the Naive Bayes Classifier (NBC) and k-Nearest Neighbor (k-NN), which still classifies one label and needs to be optimized. This research aims to classify the complaint text of more than one label at the same time with NBC, which is optimized using Particle Swarm Optimization (PSO). The data source comes from the Sambat Online portal and is divided into 70 % as training data and 30 % as testing data to be classified into seven labels. NBC and k-NN algorithms are used as a comparison method to find out the performance of PSO optimization. The 10-fold cross-validation shows that NBC optimization using PSO achieves an accuracy of 87.44 % better than k-NN of 75 % and NBC of 64.38 %. The optimization model can be used to increase the effectiveness of services to e-government in society.

Learning activities during the Covid-19 pandemic were carried out with an online system even though in reality many institutions had not prepared their systems and infrastructure properly Some e-learning media that are generally used based on survey results include 53 81% google classrooms combined with other applications that are not integrated with the institution’s Learning Management System This condition provides research opportunities to evaluate the effectiveness of online learning, especially how students are motivated to learn the method, where the results can be used as a reference in developing and refining the method Based on many studies, that the gamification model can increase individual motivation in carrying out activities, this study uses a gamification octalysis framework to analyze the extent of the role of gamification in the learning process and measure the amount of student motivation in online learning activities The evaluation results show that the conclusion of the Likert scale results in a “High” level, while the highest score is “Very High” As for the octalysis test scale, the average score of 6 5 on a scale of 1 to 10 The conclusion from the results of this evaluation is that the motivation to learn e-learning during the Covid-19 period is quite high and has the potential to be developed While the results of the Octalysis framework with 8 core drives are still average, for that we need innovation in E-learning which aims to increase student motivation based on Octalysis’s 8 core drives The results of this study recommend that gamification is needed to increase student learning motivation in order to improve learning outcomes © 2020 All Rights Reserved

The development of information technology is utilized in the field of industry. As the new company is expanding, utilizing point of sale information technology. So that the company does not experience a decline in its production and can continue to compete in the business world. Objectives to be achieved is the analysis and design of point of sale applications to minimize error information in the inventory, sales and profit and loss calculations company. This application is developed by using PHP programming language and MySql database. The result of this research is a structured application designed to process sales data.DOI: https://doi.org/10.26905/jtmi.v3i2.1514

One of the requirements to obtain a Bachelor's degree, a student must make a thesis. Thesis is a scientific work that is used as a good condition in Private Universities (PTS) and State Universities (PTN) in Indonesia. In the thesis, students are required to apply science according to the field of science that has been pursued. However, the reality of existing students are still confused in determining the title or field that will be discussed in the thesis. Therefore, the authors try to make a recommendation system of thesis title determination that can help students Informatics Engineering University of Widyagama Malang to determine the title of the thesis in accordance with the capabilities and standards determined by the department. With the method of Decision tree using ID3 algorithm, it is expected this system can help students to not difficulty in determining the title of the thesis. DOI: https://doi.org/10.26905/jtmi.v3i1.1248

Information system is a medium to accommodate an activity that takes place in an agency or institution, whether it is administrative activities and activities in a non-administration. Therefore, the information system is needed as supporting the publishing or storage database of an agency. A good information system will greatly support the educational activities of an institution or educational institution one of them is academic system information system which includes data processing related data entities, lessons, schedules, and so forth. From the definition of standard website quality, it can be concluded that the quality of website services in university widyagama malang not reach the criteria specified by the standard ISO 8402. So that most of the users among university students Widyagama Malang many who complain to the service website itself, Are: a lot of unpublished student value, delinquent financing arrears, and many other service deficiencies on the website. So that made the system Implementation of Apriori Algorithm To Determine Student Satisfaction Of Online SIM Service Widyagama University of Malang. To find the level of student satisfaction dihadapat wice online service wydiagama unfortunate. DOI: https://doi.org/10.26905/jtmi.v3i1.1244

An expert system service that deals with public problems or wide ranges of users basically requires an alternative medium, which is accessible. This paper proposes interface expansion for Web and WAP based expert system consulting application using an Android application interface. An open and accessible web service is developed to provide an access to the Android application to reach the knowledge base in the form of a decision tree stored in a particular database. The Android application employs HTTP for accessing data in a JSON format through web service. Then, the consultation mechanism would run interactively following an available path in the decision tree model from initial symptom identification to reach a conclusion.