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Applying Peer Feedback To Enhance High School EFL Students' Writing Skills In State High School 1 Rejotangan Tulungagung Muhammad Rizal Muhaimin; Titik Lina Widyaningsih
Morfologi : Jurnal Ilmu Pendidikan, Bahasa, Sastra dan Budaya Vol. 2 No. 5 (2024): October : Morfologi : Jurnal Ilmu Pendidikan, Bahasa, Sastra dan Budaya
Publisher : Asosiasi Periset Bahasa Sastra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/morfologi.v2i5.951

Abstract

Writing is the most challenging skill in English language learning. Researchers at SMKN 1 Rejotangan observed that most students struggled with writing in English. To address this, they implemented the peer feedback method to enhance students' writing skills. The study aimed to investigate the effectiveness of peer feedback in improving students’ writing abilities. Using a convergent mixed-method design, the research involved 31 students from class XI AKC 2. Instruments included pre-tests, post-tests for quantitative data, and interviews for qualitative data. Quantitative analysis was conducted using a t-test with SPSS 27, and qualitative data were analyzed thematically. Results showed significant improvement in students' writing skills after using peer feedback, as indicated by a significance value of 0.00 < 0.05. Interviews with five selected participants also revealed positive responses. Hence, the peer feedback method positively impacted the writing abilities of class XI AKC 2 students at SMKN 1 Rejotangan.
Prediksi Kelayakan Panen Kelapa Sawit Menggunakan Naïve Bayes Nuraisana; Agustina Simangunsong; Penda Sudarto Hasugian; Muhammad Rizal Muhaimin; Akbar Maulana
Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Vol. 5 No. 1 (2026): EDISI JANUARI 2026
Publisher : STMIK Triguna Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jursi.v5i1.12481

Abstract

Kelapa sawit merupakan komoditas unggulan nasional yang berperan penting dalam sektor perkebunan dan ekonomi Indonesia. Namun, hasil panen sering berfluktuasi akibat faktor iklim, pupuk, dan usia tanaman, sementara penentuan kelayakan panen masih dilakukan secara manual dan subjektif. Penelitian ini bertujuan untuk membangun sistem prediksi kelayakan panen kelapa sawit dengan Naïve Bayes guna membantu pengambilan keputusan yang lebih objektif dan efisien. Data yang digunakan meliputi curah hujan, suhu, kelembapan, usia tanaman, dan penggunaan pupuk. Metode Naïve Bayes dipilih karena kemampuannya dalam melakukan klasifikasi cepat dan akurat berdasarkan probabilitas. Hasil penelitian diharapkan menghasilkan sistem pendukung keputusan yang mampu memberikan prediksi kelayakan panen secara akurat, sehingga dapat meningkatkan efisiensi produksi dan produktivitas perkebunan kelapa sawit.