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PERAN ARTIFICIAL INTELLIGENCE TERHADAP PENINGKATAN KREATIVITAS SISWA DENGAN MENERAPKAN PROYEK PENGUATAN PROFIL PELAJAR PANCASILA Ida Tejawiani; Nur Sucahyo; Usanto Usanto; Adi Sopian
JMM (Jurnal Masyarakat Mandiri) Vol 7, No 4 (2023): Agustus
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v7i4.16143

Abstract

Abstrak: Penggunaan Artificial Intelligence (AI) semakin meluas, termasuk di bidang pendidikan. AI dapat digunakan untuk meningkatkan kualitas pembelajaran dan mengembangkan potensi siswa, terutama dalam hal kreativitas. kegiatan PkM yang dilaksanakan di SMA Tunas Harapan Jakarta diikuti oleh 156 siswa. Salah satu pendekatan yang digunakan adalah Proyek Penguatan Profil Pelajar Pancasila (P5) yang berbasis AI. Tujuan dari kegiatan pengabdian masyarakat ini adalah memahami secara mendalam proses metakognisi siswa SMA dalam memecahkan masalah integral dengan menggunakan aplikasi Photomath melalui E-Learning AI. Aplikasi Photomath berperan sebagai alat bantu untuk meningkatkan kemampuan metakognisi siswa dalam memecahkan masalah integral serta membantu mereka mengembangkan keterampilan yang diperlukan sesuai dengan kurikulum sekolah. Metode yang digunakan dalam pelaksanaan PkM ini meliputi pengenalan konsep integral, penggunaan aplikasi Photomath, dan pembagian kelompok diskusi. Untuk mengevaluasi keberhasilan kegiatan PkM ini, sebelum PkM dilakukan, semua peserta diberikan kuesioner untuk mengetahui pemahaman awal mereka. Setelah kegiatan selesai, peserta diminta mengisi kuesioner untuk menilai tingkat pemahaman mereka Dari hasil kegiatan PkM ini, diketahui 91.6% siswa mengalami peningkatan pengetahuan dan dianggap relevan dengan kebutuhan siswa sebesar 89.4%. Kepuasan siswa dalam mengikuti kegiatan PkM ini tercermin dalam pencapaian presentasi sebesar 90.9%.Abstract: The use of artificial intelligence (AI) is also becoming more prevalent in education. With the help of AI, we can improve the quality of learning and foster students' potential, especially in terms of creativity. 156 students participated in his PkM activities at SMA Tuna Harapan Jakarta. One of the approaches used is the AI-based Pancasila Student Profile Strengthening Project (P5). The purpose of this non-profit activity is to gain a deeper understanding of the metacognitive process of high school students solving integral problems using Photomath applications through e-learning AI. The Photomath application serves as a tool to improve students' metacognitive skills in solving synthetic problems and helps develop skills needed in the school curriculum. Methods used to implement this PkM include the introduction of integral concepts, the use of Photomath applications, and the division of discussion groups. To assess the success of this PkM activity, all participants were given a questionnaire to assess initial comprehension before performing the PkM. After completing the activity, participants were asked to complete a questionnaire to assess their knowledge level. The outcome of this PkM activity was that 91.6% of students improved their knowledge and 89.4% considered it relevant to their needs. . Student satisfaction in participating in this PkM activity is reflected in a presentation grade of 90.9%.
Designing a Decision Support System for Educational Resource Allocation Lusy Tunik Muharlisiani; Widyatmike Gede Mulawarman; S Suwarni; Usanto S; Berman Hutahaean; Robbi Rahim
AL-ISHLAH: Jurnal Pendidikan Vol 15, No 3 (2023): AL-ISHLAH: JURNAL PENDIDIKAN
Publisher : STAI Hubbulwathan Duri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35445/alishlah.v15i3.4120

Abstract

The effective allocation of educational resources is crucial for enhancing the quality of education. This study explores the development and application of a decision support system (DSS) using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. Various entities are evaluated based on a set of critical criteria. Using the TOPSIS approach, entities were systematically ranked, offering a clear directive for optimal resource allocation. This study provides a significant tool for resource management, offering a transparent, objective, and data-driven process. However, DSS should complement other qualitative and contextual considerations in the decision-making process. Future research directions include the integration of temporal data, broadening the set of criteria, and the inclusion of machine learning for dynamic decision-making. Ultimately, this study underscores the value of systematic and data-driven processes in resource allocation, contributing to the improvement of the quality of education
IMPLEMENTASI TEKNOLOGI LI-FI (LIGHT FIDELITY) SEBAGAI PENDUKUNG OPTIMALISASI KONEKSI IOT PADA SMART HOME Usanto S; Adi Sopian; Christine Sientta Dewi; Riza Syahrial; Septiana Ningtyas; Lela Nurlaela
JEIS: Jurnal Elektro dan Informatika Swadharma Vol 5, No 2 (2025): JEIS EDISI JULI 2025
Publisher : Institut Teknologi dan Bisnis Swadharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56486/jeis.vol5no2.772

Abstract

Communication technology continues to advance, with Light Fidelity (Li-Fi) emerging as an innovation offering high transmission speeds, low latency, and energy efficiency. This study aims to evaluate the potential of Li-Fi as a connectivity solution for the Internet of Things (IoT) in smart homes in Indonesia, considering the limitations of Wi-Fi, which often experiences interference, high latency, and significant energy consumption. The research employs a field experiment approach in a smart home simulation that encompasses IoT devices, such as bright lights, security cameras, and thermostats, alongside interviews with users, developers, and technology practitioners. The findings reveal that Li-Fi achieves an average speed of 8.5 Gbps with a latency of 1.2 milliseconds, significantly outperforming Wi-Fi, which only reaches 450 Mbps and a latency of 15 milliseconds. Li-Fi also demonstrates superior energy efficiency, requiring just 0.2 watts per GB of data compared to Wi-Fi's 1.5 watts. Furthermore, network interference is virtually undetectable with Li-Fi, making it an ideal solution for densely populated urban environments. Interviews indicate that smart home users desire fast and stable connectivity but identify initial costs and a lack of education as key challenges. The study concludes that Li-Fi has significant potential to address IoT connectivity challenges in smart homes, offering benefits such as energy efficiency, high speed, and connection stability. However, its implementation requires the development of new hardware, user education, and adequate regulatory support. With a holistic strategy, Li-Fi could become a cornerstone in the development of efficient, secure, and sustainable smart homes, while also supporting other sectors such as education and healthcare in Indonesia.Teknologi komunikasi terus berkembang, dengan Light Fidelity (Li-Fi) muncul sebagai inovasi yang menawarkan kecepatan transmisi tinggi, latensi rendah, dan efisiensi energi. Penelitian ini bertujuan mengevaluasi potensi Li-Fi sebagai solusi konektivitas Internet of Things (IoT) dalam rumah pintar (smart home) di Indonesia, mengingat keterbatasan Wi-Fi yang sering mengalami interferensi, latensi tinggi, dan konsumsi energi besar. Penelitian ini menggunakan pendekatan eksperimen lapangan pada simulasi rumah pintar yang mencakup perangkat IoT seperti lampu pintar, kamera keamanan, dan termostat, serta wawancara dengan pengguna, pengembang, dan praktisi teknologi. Hasil penelitian menunjukkan bahwa Li-Fi mencapai kecepatan rata-rata 8,5 Gbps dengan latensi 1,2 milidetik, jauh lebih baik dibandingkan Wi-Fi yang hanya mencapai kecepatan 450 Mbps dan latensi 15 milidetik. Li-Fi juga lebih hemat energi, hanya membutuhkan daya 0,2 watt per GB data, dibandingkan Wi-Fi yang memerlukan 1,5 watt. Selain itu, interferensi jaringan hampir tidak terdeteksi pada Li-Fi, menjadikannya solusi ideal untuk lingkungan urban yang padat perangkat. Wawancara mengungkapkan bahwa pengguna rumah pintar menginginkan konektivitas yang cepat dan stabil, namun mengidentifikasi biaya awal dan kurangnya edukasi sebagai tantangan utama. Kesimpulan penelitian ini menegaskan bahwa Li-Fi memiliki potensi besar untuk mengatasi kendala konektivitas IoT pada rumah pintar, dengan manfaat yang mencakup efisiensi energi, kecepatan tinggi, dan stabilitas koneksi. Namun, implementasi Li-Fi membutuhkan pengembangan perangkat keras baru, edukasi pengguna, dan dukungan regulasi yang memadai. Dengan strategi yang holistik, Li-Fi dapat menjadi pilar utama dalam pengembangan rumah pintar yang efisien, aman, dan berkelanjutan, sekaligus mendukung berbagai sektor lain seperti pendidikan dan kesehatan di Indonesia.