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All Journal EduTeach: Jurnal Edukasi dan Teknologi Pembelajaran Journal of Informatics and Interactive Technology (JIITE) International Journal for Advanced Research
syafiq
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IMPLEMENTASI REKRUTMEN TENAGA PENDIDIK BERBASIS KOMPETENSI DI PONDOK PESANTREN AL AZHAR Badrudin; irlin cahyani, putri; syafiq
EduTeach : Jurnal Edukasi dan Teknologi Pembelajaran Vol 6 No 01 (2025): EduTeach : Jurnal Edukasi dan Teknologi Pembelajaran
Publisher : Unit Pelaksana Praktik Kependidikan Terpadu Fakultas Keguruan dan Ilmu Pendidikan Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/eduteach.v6i01.8493

Abstract

Penelitian ini bertujuan untuk menganalisis implementasi rekrutmen berbasis kompetensi di Pondok Pesantren Al Azhar, khususnya untuk tenaga pendidik. Metode penelitian yang digunakan adalah kualitatif dengan teknik pengumpulan data melalui wawancara, observasi, dan dokumentasi. Subjek penelitian mencakup pimpinan pondok pesantren, tim rekrutmen, serta tenaga pendidik yang telah bekerja. Hasil penelitian menunjukkan bahwa proses rekrutmen dimulai dengan identifikasi kebutuhan tenaga pendidik sesuai visi dan misi lembaga, meliputi penguasaan ilmu agama dan kemampuan pedagogis. Rekrutmen berbasis kompetensi diterapkan melalui seleksi akademik dan keagamaan, dengan prioritas diberikan kepada lulusan universitas Timur Tengah. Tantangan yang dihadapi antara lain keterbatasan kandidat berkualitas, persaingan antar lembaga pendidikan, perlunya pengembangan kriteria kompetensi, serta kebutuhan pelatihan lanjutan guna memastikan standar kompetensi tenaga pendidik terpenuhi.
The Role of Technology in Digital Financial Services Transformation Syafiq; Grace Tan Mei Ling
International Journal of Advanced Research Vol. 1 No. 4: December 2024
Publisher : Outline Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61730/x4e46y30

Abstract

The digital transformation of financial services, driven by technological advancements, is reshaping the global financial landscape. Technologies such as mobile payments, blockchain, artificial intelligence (AI), cloud computing, and machine learning have not only increased efficiency and accessibility but have also expanded financial inclusion, enabling millions to access banking services previously unavailable to them. Mobile money platforms like M-Pesa in Kenya and Alipay in China exemplify the potential of digital financial services in bridging the gap between the banked and unbanked populations. Additionally, blockchain technology has enabled innovations like decentralized finance (DeFi), cryptocurrencies, and smart contracts, which are reducing costs and enhancing transparency in financial transactions. AI and machine learning are improving risk management, fraud detection, and customer personalization. However, the rapid expansion of digital financial services also introduces challenges related to cybersecurity, privacy, regulatory compliance, and the digital divide. Ensuring the security of digital platforms and creating inclusive access for underserved populations are key areas requiring attention. Ultimately, while technology has brought significant opportunities, it is essential to address these challenges through effective regulation and investment in infrastructure to ensure that digital financial services contribute to global financial empowerment and economic growth.
The Role of Teachers in Forming a Superior Generation in the Digital Era Grace Tan Mei Ling; Syafiq
International Journal of Advanced Research Vol. 1 No. 4: December 2024
Publisher : Outline Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61730/ar8hsr73

Abstract

The role of teachers in shaping a superior generation in the digital era is very important considering the rapid development of technology that affects all aspects of life, including education. This study aims to explore the role of teachers in utilizing technology to create innovative, flexible, and relevant learning to the needs of students in the 21st century. The method used in this study is mixed methods, by combining qualitative approaches through in-depth interviews and quantitative through questionnaires. The results of the study show that most teachers have good digital literacy and have integrated technology into the learning process. However, the challenges faced include limited training time, uneven access to technology, and gaps in supervision of technology use at home. Technology-based learning can improve students' skills such as collaboration, communication, and problem solving. In addition, this study emphasizes the importance of the role of teachers in instilling digital ethics and overcoming social challenges posed by technology. Collaboration between teachers, parents, and the government is needed to create a learning environment that supports the formation of a superior generation that is able to face global challenges in the digital era.
Artikel Ilmiah Prediksi Penjualan Aksesoris Laptop Berbasis Monte Carlo Simulation dan Exponential Smoothing Irfan; Syafiq; Adlifan Mauladhani; Nofryan Pradiva; Muhammad Fahat Azam Amirul; Cahyo, Igo Nur
Journal of Informatics and Interactive Technology Vol. 2 No. 3 (2025): Desember
Publisher : ACSIT

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63547/jiite.v2i3.83

Abstract

Penelitian ini bertujuan membuat model yang bisa memprediksi penjualan aksesori laptop dengan menggunakan dua metode yaitu Monte Carlo Simulation dan Exponential Smoothing. Masalah yang dibahas adalah kebutuhan bisnis e-commerce dalam memperkirakan volume penjualan secara tepat, terutama untuk produk aksesori laptop yang permintaannya sering berubah-ubah. Data yang digunakan berasal dari platform Amazon, terdiri dari 470 produk dengan 10 atribut utama, seperti judul produk, merek, harga, rating, jumlah ulasan, skor popularitas, periode waktu, dan jumlah unit yang terjual. Awalnya, data diolah terlebih dahulu dengan cara mengatasi nilai yang kosong, mengubah format waktu, serta mengubah fitur kategorikal menjadi data yang bisa diproses. Model prediksi dibuat dengan menggunakan Monte Carlo.
Co-Authors Adlifan Mauladhani Badrudin Cahyo, Igo Nur Grace Tan Mei Ling irlin cahyani, putri MMSI Irfan ,S. Kom Muhammad Fahat Azam Amirul Nofryan Pradiva