Muhammad Alif Rizieq Fathan
Universitas Muhammadiyah Surakarta

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A Semantic Distinction between Nafs and Qalb in the Qur'an Muhammad Alif Rizieq Fathan; Kharis Nugroho
Proceeding ISETH (International Summit on Science, Technology, and Humanity) 2025: Proceeding ISETH (International Summit on Science, Technology, and Humanity)
Publisher : Universitas Muhammadiyah Surakarta

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Abstract

Purpose: This study aims to analyze and compare the meanings of the terms nafs and qalb in the Qur'an. In many previous studies, these two terms are often treated as synonyms without sufficient linguistic and contextual analysis. This research seeks to clarify their semantic distinctions based on Qur'anic usage and classical exegetical explanations. Methodology: This study employs library research using the first variety of maudhu'i (thematic) interpretation. The analysis begins by tracing all Qur'anic verses containing the terms nafs and qalb along with their derivative forms. The basic meanings of each term are determined through Arabic-Arabic dictionaries, followed by contextual analysis based on classical Qur’anic commentaries that emphasize linguistic aspects. Results: The findings reveal that the term nafs is consistently used in the Qur’an to refer to human beings as complete entities, functioning as subjects of action and bearers of moral responsibility. In contrast, the term qalb refers to the inner center of human consciousness that functions to understand, believe, and respond to the truth. The study demonstrates that nafs and qalb are not used as absolute synonyms but occupy distinct semantic fields and functions within the Qur’anic discourse. Applications: This study reinforces the linguistic principle that differences in Qur’anic terminology indicate differences in meaning when supported by linguistic and contextual evidence. By applying the first variety of maudhu‘i interpretation, this research contributes to Qur’anic semantic studies and provides a methodological reference for distinguishing closely related Qur’anic terms based on textual usage rather than external conceptual assumptions.
Kasabe Existed, On 5 November It Did Not: Revivifikasi Bahasa Komputasional: Language Death And Computational Revival: A Sociolinguistic Analysis Of NLP-Based Vitality Detection For Javanese Muhammad Alif Rizieq Fathan
Al-Absah: Journal of Civilization, Language, Literature, and History Vol. 2 No. 2 (2026)
Publisher : Fakultas Adab dan Bahasa UIN Raden Mas Said Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22515/alabsah.v2i2.264

Abstract

Penelitian ini berkontribusi pada upaya revitalisasi bahasa daerah dengan mengkaji apakah teknologi Natural Language Processing (NLP) dapat berfungsi sebagai instrumen deteksi dini pergeseran vitalitas bahasa Jawa, bukan sekadar latihan benchmarking teknis semata. Bahasa daerah di Indonesia menghadapi tekanan struktural yang berpotensi mengulang pola kematian bahasa sebagaimana didokumentasikan Crystal (2000) pada kasus bahasa Kasabe. Bahasa Jawa, dengan sekitar 80 juta penutur, secara statistik masih tergolong aman menurut kerangka EGIDS (Lewis & Simons, 2010), namun menunjukkan gejala pergeseran bahasa signifikan pada ragam krama di kalangan generasi muda. Metode penelitian memadukan eksperimen primer pelatihan ulang (fine-tuning) model IndoBERT untuk klasifikasi sentimen bahasa Jawa menggunakan korpus NusaX dengan audit register linguistik menyeluruh, diinterpretasikan dalam kerangka EGIDS dan epistemicide (Santos, 2014). Model hasil pelatihan ulang mencapai akurasi 86,5% dan F1-score 85,7%, melampaui rata-rata acuan resmi NusaX. Namun, audit register mengungkap bahwa 99,5% dari 400 kalimat data uji ditulis dalam ragam ngoko, sementara krama autentik yang berkelanjutan ditemukan pada tepat 0% data. Temuan ini diterjemahkan menjadi rekomendasi konkret bagi guru bahasa, penyusun kurikulum, pelestarian warisan sastra, dan pembuat kebijakan, memposisikan penelitian ini sebagai kontribusi berbasis data bagi kebijakan revitalisasi bahasa daerah, bukan semata capaian teknis NLP.