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All Journal JIPTEK : Jurnal Ilmiah Pendidikan Teknik dan Kejuruan Jurnal Pendidikan Bahasa Inggris Ulul Albab: Jurnal Studi Islam Abdimas Tadris: Jurnal keguruan dan Ilmu Tarbiyah SINTEK JURNAL: Jurnal Ilmiah Teknik Mesin Penggunaan Media Sains Flipbook dalam Pembelajaran IPA di Sekolah Dasar Jurnal Ilmiah Giga ELINVO (Electronics, Informatics, and Vocational Education) TERAS ETNOSIA : Jurnal Etnografi Indonesia Communications in Science and Technology JMM (Jurnal Masyarakat Mandiri) Edukasi Islami: Jurnal Pendidikan Islam Dinamika Governance : Jurnal Ilmu Administrasi Negara SeBaSa: Jurnal Pendidikan Bahasa dan Sastra Indonesia Jurnal Abdidas Journal of English Language Teaching and Learning (JETLE) Jurnal Teknik Informatika (JUTIF) Journal of English Teaching and Learning Issues Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Automotive Experiences Kreatifitas: Jurnal Ilmiah Pendidikan Islam Journal of Social Outreach Indonesian Journal of Multidisciplinary on Social and Technology Jurnal Pengabdian Masyarakat Bangsa Jurnal Ilmiah Pengabdian Kepada Masyarakat (Nyiur-Dimas) English Edu: Journal of English Teaching and Learning Jurnal Tradisi Lisan Nusantara JGHTT Jurnal Pendidikan Progresif Jurnal Miftahul Ilmi: Jurnal Pendidikan Agama Islam
Basori Basori
Institut Teknologi Sepuluh Nopember
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Bridging Faith and Fluency: An Identity-Responsive Instructional Model for Islamic-Based English Speaking Materials Mubarok, Harir; Basori, Basori; Anggrisia, Nur Fitria; Degaf, Agwin
Jurnal Pendidikan Progresif Vol 16, No 1 (2026): Jurnal Pendidikan Progresif
Publisher : FKIP Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jpp.v16i1.pp67-94

Abstract

This study aims to develop and evaluate an Islamic-based English speaking textbook as an identity-responsive instructional model, defined as a pedagogical approach that integrates learners’ cultural and spiritual identities into CEFR-oriented communicative speaking tasks. This research employed an educational research and development design using the ADDIE model. The textbook was designed, validated, and implemented through pre- and post-tests of CEFR A2–B1 speaking tasks, student questionnaires, classroom observations, and after-class interviews involving 58 students and lecturers at SKM Islamic University. Spiritual identity engagement was examined through thematic analysis supported by indicators of importance, ease, and involvement demonstrated during speaking activities. Expert validation was conducted to evaluate linguistic accuracy, cultural relevance, and content quality. Statistical results show notable improvements in students’ speaking performance, with fluency increasing from 2.8 to 4.1, vocabulary from 2.7 to 4.0, pronunciation from 3.1 to 4.2, and grammar from 2.9 to 3.8. Thematic analysis indicates that integrating Islamic values into communicative tasks fosters meaningful participation, confidence, and strengthened expression of spiritual identity. Experts confirmed the textbook’s linguistic soundness and cultural alignment. The findings demonstrate that instructional materials incorporating cultural and spiritual identity elements can effectively support students’ communicative ability and value engagement. The developed textbook shows strong pedagogical potential and competitive advantages over comparable materials used in Islamic educational settings. Keywords: english, instructional materials, islamic values, language learning, speaking skills.
Evaluating Ensemble Versus Non-Ensemble Machine Learning Performance with Preprocessing Techniques for IoT Intrusion Detection on CICIoT2023 Firdaus, Febrian Sabila; Hatta, Puspanda; Basori, Basori
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 1 (2026): JUTIF Volume 7, Number 1, February 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.1.5408

Abstract

The rapid expansion of the Internet of Things (IoT) introduces significant security vulnerabilities, exposing networks to sophisticated attacks. Developing effective Intrusion Detection Systems (IDS) is critical, yet many machine learning benchmarks rely on outdated datasets. This study provides a comprehensive comparative evaluation of ensemble and non-ensemble machine learning models for multiclass attack classification using the modern and complex CICIoT2023 dataset. The methodology involves robust preprocessing, including random undersampling to address extreme class imbalance and a hybrid feature selection approach combining Mutual Information (MI) and Random Forest Feature Importance (RFFI). Models, including Naive Bayes, Logistic Regression, SVM, Random Forest, and XGBoost, were evaluated using stratified 5-fold cross-validation (K=5) with default hyperparameters. The results demonstrate that ensemble models consistently and significantly outperform non-ensemble models. XGBoost achieved the highest and most stable performance, yielding a mean F1-score of 0.8889 ± 0.0008 across the K-folds, and a final macro F1-score of 0.8891 on the test set. This research confirms the superiority of ensemble methods for complex IoT traffic and quantitatively highlights the critical role of preprocessing. Notably, scaling was proven essential for non-ensemble models, drastically improving Logistic Regression's F1-score from an unstable 0.6280 to 0.7691.
Perlakuan Panas Lapisan Hasil Multilapis Hardfacing Dengan Elektroda AWS A5.13 EFe2/A5.1 E7018 Susetyo, Ferry Budhi; Basori, Basori; Lubi, Ahmad
Jurnal Ilmiah Giga Vol 24 No 2 (2021): Volume 24 Edisi 2 Tahun 2021
Publisher : Universitas Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47313/jig.v24i2.1238

Abstract

Hardfacing adalah salah satu teknik dalam pengelasan yang berfungsi untuk meningkatkan nilai kekerasan permukaan suatu material. Selain itu untuk meningkatkan kekerasan permukaan dapat juga dilakukan dengan melakukan perlakuan panas pada material. Umumnya hardfacing dilakukan pada material baja karbon rendah, karena baja karbon rendah tidak bisa ditingkatkan kekerasannya dengan perlakuan panas. Untuk itu akan dilakukan kombinasi dari proses hardfacing secara multilapis dan dilanjutkan dengan perlakuan panas dengan tujuan untuk mendapatkan kekerasan lapisan yang optimum. Metodologi dalam penelitian ini adalah akan dilakukan pengelasan hardfacing secara multipis dimana lapis pertama dengan elektroda AWS A5.13 EFe2, lapis kedua dengan elektroda AWS A5.1 E7018 dan lapis ketiga dengan elektroda AWS A5.13 EFe2. Setelah selesai proses hardfacing, kemudian dilakukan perlakuan panas serta pendinginan cepat dengan dua media yang berbeda yaitu oli dan minyak sayur. Hasil dari penelitian ini adalah berdasarkan foto struktur mikro, struktur yang terbentuk adalah perlite, ferrite dan martensite dan kekerasan yang dihasilkan untuk sampel tanpa perlakuan panas, sampel dengan pendinginan oli dan sampel dengan pendinginan minyak sayur masing-masing adalah 468,1, 490,4 dan 532,4 VHN. Kesimpulan dari penelitian ini adalah sampel dengan pendinginan minyak sayur memiliki kekerasan tertinggi karena lebih banyak martensite yang terbentuk. Sedangkan sampel tanpa perlakuan panas menghasilkan kekerasan terendah karena struktur yang terbentuk ferrite dan pearlite.
Co-Authors AA Sudharmawan, AA Adila, Diena Rahma Agus Efendi Agwin Degaf Alvi Rosyidi Anggita, Nurhalizha Della Bambang Soegijono Cahaya Rosyidan Cahyo Sasmito Chundakus Habsya Cobena, Desy Yanty Daniel Edbert, Daniel Dwi Maryono Dwi Nanto, Dwi Elva Riezky Maharany Evi Ulina Margaretha Situmorang Fadillah, Hanifah Dyah Ferry Budhi Susetyo Firdaus, Febrian Sabila Gunawan, Cakti Indra Guntur S, Guntur Habibaht, Nurriyah Handayani, Satri Hargiani, Fransisca Xaveria Harir Mubarok Hasanah, Giovina Nikmatul Heri Hardiyanti Ihsanuddin, Ahmad Bachtiar Imam Rofiki Intan Rahmawati Jayanti, Septia Dwi Khusnawan, Dona Asm’ul Kifayah, Rofi’ul Kisroh Dwiyono Kustri Sumiyardana, Kustri Laksono, Prayitno Tri Liantoni, Febri Liantoni Lubi, Ahmad Mahfudza, Fitria Zulaika Maman Kartaman Ajiriyanto Maslihatul Bisriyah Muhammad, Ilhamuddin Murdowo, Drajat Agus Nadila Amri Neni, Neni Nur Fitria Anggrisia Pajarni, Pajarni Pangesti, Batari Wahyu Pradana, Mochammad Sandy Puspanda Hatta Putra, Dendy Kurnia Putri, Fatimah Nurhera Rohmana, Wahyu Indah Mala Rosika Kriswarini Ruliyanta Ruliyanta Sabiq, Iqbal Santoso, Ilham Fajar Budi Satiyoko, Yohanes Adhi Setiawan, Jodi Setyowati, Ika Suci Ciptaning Sigit Priatmoko Siti Nabila Sopiyan, Sopiyan Sri Sumarni Sri Yono, Sri Sulistyaningrum, Rahma Kusuma Syamsuir, Syamsuir Tirtoaji, Yahya Lucky Wewengkang, Nontje Deisye Wiku Aji Sugiri Winci Firdaus Yudanto, Sigit Dwi Yudianto Sujana Yudianto Yudianto ‘Azmiy, Muhammad Dzakwan