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All Journal JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Teknologi Dan Sistem Informasi Bisnis Infotech: Journal of Technology Information
Sulaeman, Mia Kamayani
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Computer Science & IT Education Electrical & Electronics Engineering

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Metode SMART Dalam Pengambilan Keputusan Menentukan Monitor Terbaik Bagi Mahasiswa FTII Uhamka Aji, Arielio Bayu; Rizkiawan, M. Asep; Sulaeman, Mia Kamayani; Wijaya, Farid Rizky
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 6 No 4 (2024): Oktober 2024
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v6i4.1525

Abstract

Technology continues to evolve to this day; computers are highly essential machines that aid humans in completing various tasks. Presently, computer usage has become a basic necessity for people across all walks of life, including professionals and students. Particularly for students, computer devices are crucial as they support learning activities, thereby enhancing both academic and non-academic pursuits. One vital component of a computer setup is the monitor, which displays visual outputs. There are numerous monitor technologies continually advancing, encompassing variations in screen sizes, resolutions, aspect ratios, and refresh rates. Brands are also developing various panel technologies such as LCD, LED, OLED, and MINILED. The wide array of monitor models available in the market often leaves students perplexed when selecting the best option. Hence, choosing the optimal monitor necessitates a decision support system (DSS). The technique employed in this decision-making process is the Simple Multi Attribute Rating Technique, commonly known as SMART. The outcomes derived from this method are notably precise, serving as reliable recommendations for selecting the best monitor for FTII Uhamka students.
DEVELOPMENT OF RESPONSIVE AND INTERACTIVE MOBILE-BASED REALISTIC MATHEMATICS LEARNING APPLICATION WITH EXTREME PROGRAMMING SYSTEM METHOD Prananda, Dimas Adi; Imanda, Rahmi; Anhari, Tirta; Sulaeman, Mia Kamayani; Rizkiawan, M. Asep
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 1 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i1.5939

Abstract

This research has the main objective of producing a product of mathematics learning application design that supports the mathematics learning process to be more qualified. The application developed can help teachers to map the competencies and learning achievements of each student. In supporting the development of this application also combines realistic mathematics and quizzes that are designed to be interactive and responsive. In directing this research, the object-oriented extreme programming system development method was developed through the stages of planning, design, coding and testing. With this application, teachers are greatly helped in organizing students in a more qualified and interactive learning process. Based on the results of testing that has been done in the classroom, the response of teachers and students with this application gets a very positive response
ANALISIS SENTIMEN TERHADAP MINAT MASYARAKAT JAKARTA YANG MEMILIH KENDARAAN UMUM MENGGUNAKAN ALGORITMA NAÏVE BAYES Dewanto, Yogga Tolly; Wiranata, Ade Davy; Sulaeman, Mia Kamayani
Infotech: Journal of Technology Information Vol 11, No 2 (2025): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v11i2.407

Abstract

The worsening traffic congestion in Jakarta highlights the need to understand public interest in using public transportation. Social media platforms such as X serve as valuable sources of real-time public opinion data. This study aims to analyze the sentiments of Jakarta residents toward public transportation to identify the factors influencing their interest in using it. Data was collected from X and analyzed using the Naïve Bayes algorithm through the RapidMiner application. The analysis was conducted by splitting the dataset into 60% training data and 40% testing data. The results of the study show 203 positive sentiment data, 135 negative sentiment data, and 138 neutral sentiment data. Positive sentiments were mostly associated with affordability and ease of access, while negative sentiments were related to discomfort and lack of punctuality. This research is expected to serve as a reference for policymakers in improving the quality of public transportation services in Jakarta.
Co-Authors Ade Davy Wiranata Aji, Arielio Bayu Anhari, Tirta Dewanto, Yogga Tolly M. Asep Rizkiawan Prananda, Dimas Adi Rahmi Imanda Wijaya, Farid Rizky