PETIR

Rancang Bangun Aplikasi Manajemen Konten Digital Signage untuk Komunikasi Perusahaan

Alzahid Muhasabah — 2025-12-31

Effective internal communication is a crucial factor in improving a company's operational efficiency. However, limited access to communication devices for some employees, particularly those working in the field, poses a challenge in ensuring fast and equitable information dissemination. This study aims to develop a Content Management System (CMS)-based digital signage that enables real-time, automated, and centralized information delivery within a corporate environment. The system is designed using the CodeIgniter framework and PostgreSQL as the database, integrating various information sources such as photos, videos, and employee attendance data. Key features developed include the Admin Dashboard for monitoring company activities, the Attendance Dashboard displaying employee attendance, visitors, and multimedia information, and communication-related features such as Communication, YouTube, Television, Photo, Guest, and Business Trip (Dinas) to support more effective information distribution. Functional testing and User Acceptance Testing (UAT) were conducted to ensure the system meets its specifications. The test results indicate that all features function properly without significant errors and that the system is user-friendly for HR staff. Compared to conventional methods that rely on external storage media such as USB drives or memory cards, this system provides a more flexible and efficient solution for managing and distributing digital content. With centralized content management, companies can update information quickly without requiring reconfiguration on each digital signage screen. The successful implementation of this system demonstrates that it can be an effective solution for improving internal communication in various corporate environments.

Implementasi Aplikasi Mobile Building Information Models

Aries Dwi Prasetiyo — 2025-12-31

Building Information Modeling (BIM) is a digital representation of the physical and functional characteristics of a facility, enabling more efficient planning, design, construction, and operation processes. However, the use of BIM in the construction industry is often hindered by the complexity of conventional software and limited accessibility in the field. This study aims to develop a mobile-based BIM application that enhances accessibility for field workers, clients, and project teams without requiring additional design software installations. The research follows the Software Development Life Cycle (SDLC) – Waterfall model, covering requirement analysis, system design, implementation, testing, and deployment. The application is developed using Java for Android, OpenGL for 3D visualization, Laravel for backend services, and MySQL for database management. Key features include project and file management, 3D model visualization, and PDF document viewing. The testing phase demonstrates that the application successfully meets user requirements, providing efficient and real-time access to BIM data. Future development may include support for additional file formats (e.g., IFC), improved performance in 3D rendering, and integration with IoT sensors for smart construction applications. This research contributes to the digital transformation of the construction industry by offering a practical and accessible BIM solution.

Adapting IMOI for Information Systems: Toward a Cyclical and Mediated View of System Design

Yudhy Setyo Purwanto — 2025-12-31

The Input–Process–Output (IPO) framework has long guided organizational and Information Systems (IS) research. While valued for its clarity, IPO reduces process to a black box and treats outputs as final rather than cyclical, limiting its usefulness in dynamic IS environments where iteration and socio-technical integration are essential. This paper conceptually adapts the Input–Mediator–Output–Input (IMOI) model, first developed in organizational science, for IS system design. A layered comparison with IPO, data flow diagrams (DFDs), and CRUD logic situates IMOI within the IS development stack, and the conceptual analysis is supported by a case vignette of a university mobile system. IMOI reframes process into three families of mediators (technical, cognitive, and affective) that can be observed, measured, and adjusted across cycles. Outputs, including prototypes, user analytics, and stakeholder feedback, are explicitly treated as inputs for subsequent iterations. The findings suggest that IMOI preserves IPO’s clarity while adding diagnostic depth and cyclical adaptability. By emphasizing mediators and feedback, IMOI offers a stronger conceptual foundation for designing, evaluating, and governing modern information systems.

Penerapan Model Machine Learning Untuk Prediksi Kekuatan Beton

Darus Man — 2025-12-31

Developing a concrete strength prediction model using three machine learning approaches, namely Linear Regression, Neural Network, and Multi-Layer Perceptron (MLP). The three models were tested using a dataset containing information about the composition of concrete materials and concrete strength test results. Evaluation is carried out using Precision, Recall, F1-Score, Mean Squared Error (MSE), and R-squared metrics to measure the accuracy of model predictions. The research results show that the MLP model provides the best performance, with very high Precision, Recall and F1-Score, as well as low MSE and R-squared reaching 0.97. Compared with Neural Network and Linear Regression, the MLP model shows better generalization ability on test data. Although other models also gave good results, MLP proved to be more effective in predicting concrete strength with higher accuracy. This research indicates that the use of MLP in concrete strength prediction can increase accuracy and efficiency in construction applications.

Analisis User Experience Pada Aplikasi E-SPPD PLN Menggunakan User Experience Questionnaire(UEQ) Dan Algoritma K-Means

Rifaldi Adi Putra — 2025-12-31

The E-SPPD PLN app is an application that used by Indonesia National Electricity Company (PLN) has a function to book lodging and transportation for business trips. Based on the rating given by users on the Google Play, the E-SPPD PLN app received a rating below 4. While the average rating of applications on Google Play is above 4. This research aims to asses the user experience of E-SPPD PLN app using a questionnaire and divide user experience preference data using data clustering. The questionnaire used to measure user experience is user experience questionnaire and the clustering algorithm used to group user experience data is k-means algorithm. The research was conducted at PLN West Sumatra Distribution Unit, with target respondents beingl users of the E-SPPD PLN in West Sumatra province. Based on data analysis and research, the E-SPPD PLN app has positive evaluation results for all aspects and categories and gets and excellent score for all aspects except the novelty aspect. The most optimal number of clusters of user experience data is 5 clusters, namely cluster 0 with 17 items, cluster 1 with 9 items, cluster 2 with 22 items, cluster 3 with 25 items, and cluster 4 with 16 items.

Decision Support Model for Determining Priorities of Non-Academic Competencies Using Content Analysis & Weighted Mapping Approaches

Hendra Jatnika — 2025-12-31

This study formulates a Decision Support model to determine the priority of students' non-academic competencies as a basis for improving the concept of link and match between higher education and industry needs. Data were collected from the 21st Century Skills Framework, the WEF Future of Jobs Reports (2020, 2023, 2025), and Institut Teknology PLN (ITPLN) Tracer Study (2022, 2024). The method used is a mixed analytical method including Content Analysis to extract and consolidate competencies, accompanied by Weighted Mapping consisting of Frequency Weight (FW), Correlation Weight (CW), Normalized Weight (NW), and Final Priority Score (FPS). The results of the study identified eight main non-academic competencies whose relational structure was analyzed through a correlation matrix and a priority model. The findings indicate that Information and Communication Technology (ICT) Literacy, Critical Thinking, and Communication competencies are the highest priority competencies. The resulting model can be used as a basis for strategic recommendations in compiling work programs related to students' non-academic competencies as university graduates who will face the industrial world