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All Journal Jurnal Ilmiah KOMPUTASI Jurnal Pengabdian Kepada Masyarakat (Mediteg) Zonasi: Jurnal Sistem Informasi Jurnal Elkolind : Jurnal Elektronika dan Otomasi Industri Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Pengabdian kepada Masyarakat Desa (JPMD) Jurnal Multidisiplin Madani (MUDIMA) Jurnal Algoritma Jurnal Teknologi dan Manajemen Industri Terapan Journal Of Arabic Language Studies And Teaching Abnauna Buffer Informatika Jurnal Riset Multidisiplin Edukasi Menulis: Jurnal Penelitian Nusantara
Fathoni
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Nursing Social Sciences Other

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Analisis Pola Keputusan Pembelian di Tokopedia berbasis Machine Learning untuk Customer Relationship Management Sabilla Janna, Andin; Juliyanti, Tamara; Samudra, Muhammad Bayu; Ibrahim, Ali; Fathoni
Buffer Informatika Vol. 12 No. 1 (2026): Buffer Informatika
Publisher : Department of Informatics Engineering, Faculty of Computer Science, University of Kuningan, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/buffer.v12i1.571

Abstract

Pertumbuhan pesat platform e-commerce telah memengaruhi keputusan pembelian konsumen, khususnya pada marketplace seperti Tokopedia. Penelitian ini bertujuan menganalisis pola keputusan pembelian produk makanan dan minuman serta merumuskan implikasinya terhadap strategi Customer Relationship Management (CRM) berbasis data. Metode yang digunakan adalah pendekatan kuantitatif dengan dataset sebanyak 9.711 ulasan pelanggan yang diperoleh melalui Kaggle. Analisis dilakukan menggunakan Naive Bayes untuk klasifikasi keputusan pembelian ulang dan FP-Growth untuk menemukan pola asosiasi antara rating, harga, dan keputusan pembelian. Tahapan praproses meliputi pembersihan data, transformasi atribut, diskretisasi, serta pemrosesan teks menggunakan TF-IDF. Hasil penelitian menunjukkan bahwa Naive Bayes menghasilkan akurasi 60,18% dengan precision kelas Y sebesar 94,30%, namun recall masih dipengaruhi oleh ketidakseimbangan data. FP-Growth menunjukkan bahwa rating bintang 5 merupakan faktor paling dominan dalam pembelian ulang, dengan kombinasi rating bintang 5 dan harga sedang menghasilkan confidence tertinggi sebesar 98,6%. Temuan ini menegaskan pentingnya kepuasan pelanggan dan mendukung perumusan strategi CRM yang lebih terarah.
Language and Thought in the Era of Artificial Intelligence: A Philosophy of Science Inquiry into the New Linguistic Paradigm in Arabic Language Education Imtiyaz, Indy; Bakar, M. Yunus Abu; Fathoni
Journal of Arabic Language Studies and Teaching Vol. 6 No. 1 (2026): May 2026 / مايو 2026
Publisher : Universitas Islam Negeri Sunan Ampel Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15642/jalsat.2026.6.1.100-113

Abstract

The development of Artificial Intelligence (AI) has introduced fundamental changes in the relationship between language and thought, generating significant epistemological implications for Arabic language education. This article aims to analyze the relationship between language and thought from a philosophy of science perspective in the AI era, identify conceptual gaps in technology-based learning practices, and formulate a more reflective and integrative linguistic paradigm. The study employs a qualitative approach through library research, utilizing content analysis of sources in philosophy of language, educational technology, and Arabic pedagogy. The findings indicate that AI encourages a shift from a transmissional toward a constructive-dialogical epistemology, in which knowledge is produced through interactions between humans and technology. Although AI enhances learning effectiveness and personalization, the interpretation of language still requires human reflective consciousness. Therefore, Arabic language education should develop a humanistic-digital approach that positions technology as an epistemic partner without displacing the role of language as a medium for constructing meaning, awareness, and values.
Co-Authors Adella Salsabila Afrianti, Eka Agusman, Dzaky Ahmad Futuhal Arifin Ahmad Sholahuddin Akhmad Suhartono Ali Ibrahim Ali Ibrahim Ardina Ariani Aulia Najibah Putri Ayu Triana Bayu Satria, Eka Eka Darmayanti Simanullang Endang Lestari Ruskan Faiza, Aliya faizah, haniyah Heroza, Rahmat Iin Seprina Imtiyaz, Indy Indah, Dwi Rosa Indah Indra Arif Firmansyah Irwansyah, Aziiz Juliyanti, Tamara Khalid, Mohammad Khoirunnisa, Ananda M. Husni Syahbani M. Yunus Abu Bakar Maulana Achmad Kurniawan Mgs Afriyan Firdaus Mimbar Ali Sakti, Yudhit Mohammad Ahyanul Wafi Mohammad Su’udun Nafis Muhammad Pradipta Baskara Murtono, Ari Mutia Sahira Naretha Kawadha Pasemah Gumay Nela Dyah Ayu Febrianti Ningsih, Rafika Octaria Nurul Amalia Azlikah Nurul Fahmiyah Nyimas Diah Permata Sari Pakpahan, Jonathan Parastiwi, Andriani Pasha, Zakirah Sabrina Putri Rabbani, Muhammad Randy Rido Nur Hidayat Robani, Muhammad Tsabita Sabilla Janna, Andin Salsabila, Shofi Salsabillah S, Syalwa Samudra, Muhammad Bayu Shahabiyah, Alifa Putri Siregar, Richi Nauli Juniarto Suhaimi, Muhammad Naufal Theonady, Oktavio Waton, Muhammad Nasrul Yelli Nur Alinda Yoga Prasetiyo Zuni Humairoh