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All Journal Jurnal Sinergi Sistem Informasi Pengabdian Masyarakat Journal of Information Technology and Informatics Engineering
Yuriana Sari Harahap
Universitas Pamulang
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Other

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Pemanfaatan Teknologi AI untuk Inovasi dan Efisiensi di Era Digital dengan Memperhatikan Kelebihan, Kekurangan, dan Dampaknya bagi Siswa/i SMP Sebelas Maret Kaila Nazuwa; Adis Tiani; Helmayana; Intan Pramesta Nurhayati; Yuriana Sari Harahap
Jurnal Sinergi Sistem Informasi Pengabdian Masyarakat Vol 1 No 1 (2025): Jurnal Sinergi Sistem Informasi Pengabdian Masyarakat
Publisher : PT Jurnal Cendekia Indonesia

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Abstract

Artificial intelligence (AI) technology has opened many doors in the world of education, especially to improve efficiency and innovation in the teaching and learning process. The purpose of this study is to see how artificial intelligence technology is used by students of SMP Sebelas Maret. The study will explore the benefits, disadvantages, and effects produced. Educational chatbots, adaptive learning applications, and automated assessment tools are all examples of AI used to assist teachers and meet students' specific learning needs. The results of the study indicate that the main advantages of using AI lie in the ability to present customizable and interactive materials, increase the desire to learn, and increase time efficiency in learning management. However, there are some disadvantages, such as dependence on technology, students' lack of understanding of digital ethics, and the potential for reduced social interaction. Students of SMP Sebelas Maret experienced a significant impact, with improved learning outcomes and a shift towards more independent learning. To ensure that the use of AI does not cause problems or adverse effects in the long term, adequate digital literacy and mentoring are needed. In conclusion, AI has great potential to be an effective tool to support educational transformation in the digital era. However, it must be used carefully, adaptively, and contextually to meet the readiness of the educational environment. The study found that teachers need to be better trained and that policies for the use of AI in junior high schools need to be made targeted and sustainable.
Pemanfaatan Data Mining untuk Segmentasi Nasabah Kartu Kredit Menggunakan Metode K-Means Intan Pramesta Nurhayati; Helmayana; Adis Tiani; Kezia Maruenci; Yuriana Sari Harahap; Maulana Fansyuri
Journal of Information Technology and Informatics Engineering Vol 1 No 1 (2025): Journal of Information Technology and Informatics Engineering (JITIE)
Publisher : PT Jurnal Cendekia Indonesi

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Abstract

This study aims to cluster credit card users based on demographic information and card usage behavior using K-Means clustering algorithms. The BankChurners.xlx dataset, which contains over 10,000 customer data, was analyzed using RapidMiner software. The analysis process includes data preprocessing steps, including normalization, attribute selection, and categorical data encoding. The K-Means algorithm is then used to group customers into two clusters. The results of this clustering show the existence of two main segments with different characteristics, where the majority of customers fall into one larger group. Cluster quality assessment using the Davies-Bouldin index shows satisfactory separation results. This result can serve as a basis for strategic decision-making, particularly in designing marketing plans and developing services that are more precise and suited to the characteristics of each customer segment.
Co-Authors Adis Tiani Helmayana Intan Pramesta Nurhayati Kaila Nazuwa Kezia Maruenci Maulana Fansyuri