Jurnal Informasi dan Komputer

IMPLEMENTASI FRAMEWORK MECHANICS-DYNAMICS-AESTHETICS PADA RANCANG BANGUN GAME BERDASARKAN KONSEP BERPIKIR KOMPUTASIONAL

Raihan Taufiqurrahman, Asep Wahyudin, Yudi Ahmad Hambali — Wed, 01 Oct 2025 00:00:00 +0000

Game media has been used in education because it has proven effective in increasing students' interest and engagement. However, there are challenges in the development process of educational games, namely the need to consider both the learning aspect (pedagogy) and the game aspect (game design). Previous studies have developed educational games with a primary focus on the learning aspect. While this aspect is a important in the development of educational content, game design is also equally important, especially in creating an engaging game experience. Without attention to the game aspect, educational games are at risk of becoming digital textbooks. The Mechanics-Dynamics-Aesthetics (MDA) framework can be used as a strategic approach to guide the game design process so that educational games developed also offer a good game experience. In this study, the subject matter applied in the game is computational thinking, which is one of the essential skills that the young generation required to face challenges in the digital era. The implementation process of the MDA framework in the educational game is presented to provide a structured overview, allowing this approach to be adopted by other researchers. ADDIE and GDLC were used as this research methodology. The MDA framework was integrated into the design phase of ADDIE and the pre-production phase of GDLC. Game testing using the expert judgement method resulted in evaluations from subject experts and media experts of 81% and 91.25%, respectively, indicating that the game is suitable for use both in terms of subject content and media. User testing result shows 79.8%, indicating that the computational thinking game developed by implementing the MDA framework is rated as good from the perspective of user game experience.

PENERAPAN METODE FUZZY DALAM SISTEM PENENTUAN PEMBELIAN BAHAN BAKU

Sri Wahyuni, Dian Novitasari, Purwanto Purwanto — Thu, 02 Oct 2025 00:00:00 +0000

PT Cubic Indonesia is a company operating in the field of cubic and printing technology services with original designs. In its operational processes, the company heavily relies on the availability of raw materials to meet customer demand. However, the manual raw material purchasing system creates several problems. One of these is suboptimal inventory recording, which often leads to an overstock due to excessive ordering or a stock-out when sudden demand cannot be met. This not only increases storage costs but also potentially causes losses from production delays and loss of customer trust. To solve these problems, this study aims to develop an information technology-based raw material purchasing decision system that can help the company make decisions faster, more accurately, and more effectively. The method used is Fuzzy Tsukamoto, chosen for its ability to handle uncertainty and provide more flexible decision results. The system design was created with a Unified Modeling Language (UML) approach to illustrate the system's functional requirements and workflow. Furthermore, the system was implemented using a web-based programming language so it can be easily accessed in real time and integrated with the company's operational processes. This research resulted in a decision support system for determining raw material purchases at PT Cubic Indonesia by applying the Fuzzy Tsukamoto method. This web-based system, built with a UML modeling approach, can accommodate user needs in managing raw material inventory more effectively. The test results show that the developed system can provide more accurate purchasing recommendations based on stock conditions and demand levels. Implementing this system is able to reduce the risk of both overstock and stock-out, allowing the company to reduce potential losses, increase inventory management efficiency, and maintain the smooth flow of production. Thus, the proposed Fuzzy Tsukamoto-based decision support system is proven to help the company make raw material purchasing decisions more accurately and efficiently. In the future, this research can be further developed by integrating historical sales data, demand prediction methods, and the automation of raw material ordering so the system becomes more adaptable to market changes.

SISTEM REKOMENDASI NEGARA TUJUAN PMI BERBASIS WEB DENGAN METODE MOORA

Muhamad Bahri, Ridho Taufiq Subagio, Putri Rizqiyah — Thu, 02 Oct 2025 00:00:00 +0000

This study aims to design a web‑based decision support system that recommends destination countries for Indonesian migrant workers (PMI) using the MOORA method (Multi‑Objective Optimization on the Basis of Ratio Analysis). The primary goal of this system is to help prospective PMIs select the most appropriate destination country based on multiple relevant criteria, thereby reducing subjectivity and improving decision accuracy. This study employs an analytical‑descriptive approach with an empirical design, applying the MOORA method to rank five destination countries—Taiwan, Hong Kong, Singapore, Japan, and South Korea—across six criteria: Salary, Cost of Living, Culture, Language, Safety, and Migration Process. Data were collected through observation and interviews at PT Surya Eka Perkasa as the case study. The system was developed using the Laravel framework and a MySQL database, with MOORA calculations implemented via matrix normalization and preference scoring. The results indicate that the system can process input data efficiently and generate accurate country recommendations consistent with manual calculations. The web interface also includes features for adjusting criteria and displaying results visually, making it easily accessible to both administrators and users. System evaluation was conducted using Spearman’s rank correlation to measure alignment between the system’s outputs and manual calculations, yielding a very strong correlation. In conclusion, this system has been proven valid and effective as a decision‑support tool for selecting PMI destination countries and holds potential for further development through the addition of additional evaluation factors.

SISTEM INFORMASI E-LEARNING BERBASIS WEB PADA SEKOLAH SMK FADILATUL ILMI KOTA SERANG

Mami Maryati; Panca Indah Lestari; Sabar Hanadwiputra, Kresno Murti Prabowo — Thu, 02 Oct 2025 12:55:22 +0000

The advancement of information technology drives transformation in education, including at SMK Fadilatul Ilmi Serang City. However, the learning process at this school remains conventional with limited digital media usage, necessitating a web-based e-learning system to enhance flexibility and efficiency. This study aims to design and develop a web-based e-learning information system to support distance learning, material management, assignments, automated exams, and assessments. The research method employs a qualitative descriptive approach and software engineering with the Waterfall model. Data collection was conducted through interviews, observation, literature studies, and documentation. The system was developed using PHP programming language, MySQL database, and HTML/CSS for the interface. The result is an e-learning system with three user levels (admin, teacher, student), featuring account management, learning materials, online exams, instant grading, and score reports. Implementation at SMK Fadilatul Ilmi demonstrated increased efficiency in teaching-learning processes, accessibility of materials beyond spatial/temporal constraints, and ease in evaluating learning outcomes. This system is expected to be a sustainable solution for digitizing vocational education.

PERANCANGAN APLIKASI PEMILIHAN KARYAWAN TERBAIK PADA HUMBLE HAIRSTUDIO DENGAN ALGORITMA WEIGHT PRODUCT

Thu, 02 Oct 2025 00:00:00 +0000

A Decision Support System (DSS) is a tool designed to assist complex decision-making processes involving multiple criteria. In the context of employee selection, accurate decisions are crucial for companies to obtain competent human resources aligned with organizational needs. This study developed a DSS for employee selection using the Weighted Product (WP) method. This method was chosen because it is capable of processing multi-criteria data by multiplying the values of each criterion raised to the power of its importance. The assessment criteria used include attendance, work ethic, loyalty, teamwork, and individual abilities, with weights determined based on company priorities. The calculation process is carried out through the stages of forming S vectors and V vectors to produce a final ranking. The results of the study indicate that the WP method can provide more objective, measurable, and consistent employee rankings, resulting in a faster, more accurate, and more systematic selection process. However, this system still has limitations because it does not consider qualitative factors such as personality, communication skills, or the results of direct interviews. Therefore, this system is more appropriate as a supporting tool, not the sole basis for determining the best employees.