This study aims to measure the level of participant satisfaction with learning services at LKP Multi Talenta Komputer Purwokerto. Participant satisfaction is an important indicator in assessing the effectiveness of the learning curriculum implemented. Factors such as facilities, services, and obstacles in learning become the main benchmark. Data from 54 respondents were processed using K-Means Clustering algorithm to identify the most superior and weak factors. The results of this study provide recommendations for future service improvements, in order to increase participant loyalty and learning effectiveness.

This research aims to evaluate the level of usability and user satisfaction with the Amikom University Purwokerto student affairs website using the System Usability Scale (SUS) method. This method was chosen because of its simplicity in providing reliable and fast results through a survey based on 10 statements with a Likert scale. The research respondents were active students at Amikom University, Purwokerto, who were selected using a sampling method based on the Slovin formula with a total sample of 97 respondents. Data is collected through an online questionnaire that measures aspects of convenience, satisfaction and system reliability. The analysis results show an average SUS value of 58.85, which is classified in the Marginal Low category based on the interpretation of the SUS scale. These findings indicate that the website has not fully met user expectations in terms of usability, even though it provides relevant features and services. Therefore, improvements are needed in user interface elements, navigation, and design consistency to improve user experience. This research makes an important contribution to the development of information systems in higher education by identifying weaknesses that can be improved to achieve better efficiency and satisfaction.

This research aims to develop strategies for SI/TI Cafe Ungu to improve operational efficiency and competitiveness. Cafe Ungu is still struggling to integrate technology, so some business processes are still done manually and are less efficient. The method used to analyze the internal and external conditions of the company, as well as the SI/TI conditions, is Ward and Peppard with a qualitative approach through interviews and observations. SWOT Analysis, Value Chain, PEST, and McFarlan Strategic Grid are components of the method used to determine the appropriate application for Cafe Ungu. The analysis results show that automated bookkeeping, web-based inventory management, and centralized POS systems can improve data accuracy and operational efficiency. Additionally, it is recommended that the customer experience be improved with a digital queue system and modern payment methods. By implementing this strategy, Cafe Ungu is expected to adapt to market changes and enhance its competitiveness. Thus, the SI/IT strategy based on the Ward and Peppard method successfully supports Cafe Ungu's long-term goals.

Currently, the Amikom University Purwokerto student portal is still not equipped with a student data search feature that can make it easier to access related information. The unavailability of this feature can provide significant obstacles to various students' daily activities, especially in activities such as academic research, collaborative group work across study programs, and interactions between departments. The aim of this research is to apply the TOGAF framework which is expected to be able to help identify the root of the problem and provide a more comprehensive, systematic and effective solution in an effort to improve the functionality of this portal, so that it can better support students' academic needs. This research uses the TOGAF method which includes Understanding Business Context, Vision Architecture, Definition Architecture, and Transition Architecture. The result of this research is a flowchart design for the student data search feature which was created and analyzed using the Bizagi Modeler application which was compared between the design and the current process. Based on the results, it shows that the design of the student data search flow through Student Amikom Purwokerto is much faster and more efficient because the data search time is reduced from 40 minutes to 3 minutes.
 

In the digital era, the utilization of information technology has become a primary need to support various aspects of education. One of the innovations implemented in educational institutions is the use of e-learning platforms, which allow learners to study flexibly without being hindered by distance and time. Universitas Amikom Purwokerto has developed the E-Learning Support System (ELLS) website as an online learning tool accessible by students and lecturers. This study aims to analyze the service management of ELLS using the ITIL V3 framework, which provides a structured guide in managing and optimizing services to better meet user needs in a sustainable manner. The methodology used includes observation, interviews, and surveys distributed to service users. The results show that the implementation of ITIL V3 can improve service effectiveness, reduce the risk of disruptions, and provide a positive experience for users. This research is expected to provide recommendations for improving e-learning service management at Universitas Amikom Purwokerto and serve as a reference for other educational institutions looking to enhance the quality of their services.

This study aims to evaluate the level of user satisfaction with the website of SMAN 1 Wangon by applying the End User Computing Satisfaction (EUCS) method. This method assesses user satisfaction based on five main dimensions: system quality, information quality, service quality, end user, and individual benefits. Data collection was conducted through questionnaires distributed to students, teachers, and administrative staff. The results of the analysis show that overall user satisfaction is in a good category, although there are some aspects that need to be improved, especially in terms of information and service quality. This research is expected to provide suggestions for further development of the school website, in order to improve user experience and support the learning process.

KPRI KOKARNABA Baturraden faces challenges in managing increasingly complex sales data, particularly in identifying the most in-demand products to maximize profit. This study aims to analyze sales patterns using the Naïve Bayes algorithm as a probability-based classification method. The collected sales data were analyzed to identify categories of best-selling and less popular products within the cooperative. The results indicate that the Naïve Bayes algorithm has an accuracy rate of 77.56% in predicting product categories. This research is expected to assist the cooperative in optimizing stock management and improving member satisfaction.