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All Journal Pendas : Jurnah Ilmiah Pendidikan Dasar DE'RECHTSSTAAT Konservasi Hayati MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Jurnal Ilmiah Pengabdian dan Inovasi Maklumat: Journal of Da'wah and Islamic Studies Jurnal Peweka Tadulako Holistik Analisis Nexus INTERDISIPLIN: Journal of Qualitative and Quantitative Research Al-Bunyan: Interdisciplinary Journal of Qur'an and Hadith Studies Journal of Biotropical Research and Nature Technology
Fatimatuzzahra
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Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Immunology & microbiology Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Identifikasi Mangrove Berdasarkan Salinitas di Desa Sumber Jaya, Taman Wisata Alam (TWA) Pantai Panjang dan Pulau Baai Provinsi Bengkulu Sudayu, Zayadi; Astuti, R.R. Sri; Fatimatuzzahra; Supriati, Rochmah; Riandini, Evelyne
Konservasi Hayati Vol 21 No 1 (2025): APRIL
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/hayati.v21i1.41086

Abstract

Mangroves play an important ecological and economic role. TWA Pantai Panjang and Pulau Baai, specifically in Sumber Jaya Village, are directly adjacent to a river environment where seawater can enter during high tide. This seawater influence can affect the salinity of the waters, leading to varied responses from mangroves due to their differing tolerance ranges. The research aimed to identify mangrove species based on salinity conditions in Sumber Jaya Village, Kampung Melayu District, TWA Pantai Panjang, and Pulau Baai, Bengkulu Province. The research method used was descriptive explorative, with data collection at 3 stations using the Line Transect Plot method. The identification yielded 16 mangrove species from 9 families. Specifically, the Rhizophoraceae family included Rhizophora apiculata, Rhizophora mucronata, Rhizophora stylosa, Bruguiera gymnorrhiza, and Bruguiera sexangular. The Avicenniaceae family was represented by Avicennia marina and Avicennia lanata. Other families included Combretaceae (Lumnitzera littorea and Terminalia catappa), Sonneratiaceae (Sonneratia alba and Sonneratia caseolaris), Acanthaceae (Acanthus ilicifolius), Asclepiadaceae (Calotropis gigantea), Apocynaceae (Cerbera manghas), Leguminosae (Derris trifoliata), and Malvaceae (Hibiscus tilaceus). The Rhizophoraceae family had the most species. Rhizophora apiculata, Rhizophora mucronata, and Rhizophora stylosa were found in a salinity range of 0 - 25 ‰, corresponding to freshwater to estuarine salinity types. Bruguiera gymnorrhiza and Bruguiera sexangula were found at salinities of 8-25 ‰, Avicennia marina and Avicennia lanata at salinities of 21-25 ‰, and Lumnitzera littorea at a salinity of 3 ‰.
Financial Independence Perspective of Surah Al-Baqarah Fatimatuzzahra; Misbahul Munir
al-Bunyan: Interdisciplinary Journal of Qur'an and Hadith Studies Vol. 2 No. 2 (2024)
Publisher : Penerbit Hellow Pustaka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61166/bunyan.v2i2.22

Abstract

A key component of both individual and collective life is financial literacy, and Surah Al-Baqarah in Islam offers comprehensive instructions on managing money. With a focus on concepts like zakat, sedekah, and the use of discretion in daily budget distribution, this essay explores the idea of financial management from the viewpoint of Surah Al-Baqarah. In this context, the study describes how careful lending and saving practices combined with a study of the Qur'an can help people become financially independent. In order to achieve behavioral and financial stability, this analysis provides insightful information to the Islamic society as well as to individuals.
BERT Sentimen: Fine-Tuning Multibahasa untuk Ulasan Bahasa Indonesia Khen Dedes; Fatimatuzzahra; Hermansyah, Mas'ud; Setiawan, Akas Bagus; Pradana, Reza Putra; Harvyanti , Annisa Fitri Maghfiroh
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 4 No. 2 (2025): September 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i2.585

Abstract

Penelitian ini mengevaluasi pengaruh teknik augmentasi dan fine‑tuning terhadap kinerja model BERT multibahasa pada tugas klasifikasi sentimen ulasan film berbahasa Indonesia. Dataset awal terdiri dari 1.200 ulasan; 80% digunakan untuk pelatihan dan validasi (n = 960) dan 20% untuk pengujian (n = 240). Data pelatihan diperluas melalui augmentasi menjadi 2.880 sampel sintetis untuk keperluan fine‑tuning. Model kemudian di‑fine‑tune pada korpus yang diperluas dan dievaluasi menggunakan metrik akurasi, precision, recall, dan F1. Pada set pengujian diperoleh akurasi 82,5%, precision untuk kelas positif 76,0%, recall 95,0%, dan F1‑score 84,44%. Matriks kebingungan menunjukkan TP = 114, FN = 6, FP = 36, dan TN = 84, yang mengindikasikan sensitivitas tinggi terhadap ulasan positif namun terdapat proporsi false positive yang relatif besar. Temuan ini mengindikasikan bahwa augmentasi meningkatkan kemampuan model dalam menangkap sinyal positif (tingginya recall), namun memerlukan penyesuaian lebih lanjut untuk mengurangi kesalahan prediksi positif (meningkatkan precision). Secara keseluruhan, hasil penelitian menyediakan bukti bahwa BERT multibahasa mampu menangani tugas sentimen berbahasa Indonesia dengan performa memadai apabila didukung strategi augmentasi dan prosedur validasi yang tepat.
Co-Authors Abdul Gani Ahmad Agus syahid Ahmad Nuh Alamsyah, Sal Sabila Andatu, Mabruri Andi Sofyan Anas Anggina Yusila Heryanto Astuti, R.R. Sri Awalia, Rezki Evelyne Riandini Fitri Apriliany, Fitri Hammad, Rifqi Harvyanti , Annisa Fitri Maghfiroh Hermansyah, Mas'ud Hilda Hastuti Idawati Khen Dedes Misbahul Munir Muhibban Pahrul Irfan Pradana, Reza Putra Samudra, Nanang Setiawan, Akas Bagus Sudayu, Zayadi Supriati, Rochmah Umboro, Recta Olivia Utami , Reta Pramala Winarta, Ardiansyah Yusila, Anggina