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All Journal Abdimas Terapan: Jurnal Pengabdian Kepada Masyarakat Terapan Journal of Informatics and Interactive Technology (JIITE)
Ayesa Aglystia Firdauzi
Unknown Affiliation
Religion Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Public Health Social Sciences

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Pendidikan dan Pelatihan Pembuatan Lesson Plan untuk Mengoptimalisasikan Kegiatan Belajar Mengajar Bahasa Inggris bagi siswa TK dan PAUD Dini Riandini; Ayesa Aglystia Firdauzi; Hanif Hidayatulloh
ABDIMAS TERAPAN : Jurnal Pengabdian Kepada Masyarakat Terapan Vol. 1 No. 2 (2023): Desember: ABDIMAS TERAPAN: Jurnal Pengabdian Kepada Masyarakat Terapan
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/abdimasterapan.v1i2.563

Abstract

Lesson plans can improve the quality of learning and professional development of educators. Through the Amikom Mitra Masyarakat scheme, service activities are carried out to optimize the ability and quality of teachers in English language learning activities by providing education and training in making lesson plans. The partner of this activity is a tutoring institution called Glory Learning Center (GLC). This institution provides English language learning services as an extracurricular activity for kindergarten and PAUD students in the Banyumas, Purbalingga, and Bumiayu areas. Teacher recruitment at GLC focuses more on how to deal with children in the classroom, so English teaching skills are an additional requirement for classroom learning activities. Seeing this problem, dedication is carried out by providing education and training in making lessons as one of the supporting factors for the success of teaching and learning activities in the classroom. Teachers are given an understanding of the importance of lesson plans and how to make a good lesson plan, so that teaching and learning activities can run well, clearly and structured. Thus, this service activity has a good impact on teachers, especially for those who have non-language scientific backgrounds, and increases the selling value of the guidance institution because it has quality resources that support learning activities
SYSTEMATIC LITERATURE REVIEW: ANALYSIS AND PREDICTION OF E-COMMERCE CONSUMER BEHAVIOR USING MACHINE LEARNING Ayesa Aglystia Firdauzi; Syifa Tania Annaztasya; Febriana
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.v2i3.100

Abstract

Pertumbuhan eksponensial data E-commerce yang ditandai dengan volume, kecepatan, dan variasi yang tinggi menjadikan metode statistik tradisional tidak lagi memadai untuk memahami perilaku konsumen yang kompleks. Penelitian ini bertujuan untuk mengevaluasi efektivitas penerapan algoritma Machine Learning (ML) dalam memprediksi perilaku konsumen serta mengidentifikasi tren implementasi terkini sebagai solusi atas keterbatasan metode konvensional. Menggunakan pendekatan Systematic Literature Review (SLR) yang berpedoman pada protokol PRISMA 2020, penelitian ini melakukan pengumpulan data melalui empat basis data akademik utama, yaitu ScienceDirect, IEEE Xplore, ACM, dan Semantic Scholar. Sebanyak 273 artikel relevan yang diterbitkan antara tahun 2021 hingga 2026 dianalisis untuk mensintesis algoritma dominan dan metrik kinerjanya. Temuan utama menunjukkan adanya pergeseran paradigma dari model tunggal menuju arsitektur Hybrid Deep Learning dan metode Ensemble (seperti XGBoost) yang terbukti lebih unggul dalam menangani data multimodal dan tidak seimbang (imbalanced). Pendekatan ini secara konsisten melampaui metode statistik dalam hal akurasi prediksi, penurunan tingkat kesalahan, dan dampak bisnis nyata seperti peningkatan konversi. Studi ini menyimpulkan bahwa pengembangan masa depan perlu memprioritaskan Explainable AI (XAI) dan integrasi data multimodal untuk mendukung tren live streaming commerce serta meningkatkan transparansi keputusan bagi manajemen bisnis.
Co-Authors Dini Riandini Febriana Hanif Hidayatulloh Syifa Tania Annaztasya