Article Per Year (5 Year)
p-Index From 2021 - 2026
4.925
P-Index
This Author published in this journals
All Journal Microbiology Indonesia Edukasi: Jurnal Pendidikan dan Pengajaran SMATIKA Information System for Educators and Professionals : Journal of Information System Information Management For Educators And Professionals (IMBI) Syntax Literate: Jurnal Ilmiah Indonesia ALQALAM Amwaluna Jurnal Ekonomi dan Keuangan Syariah Syntax Idea JURSIMA (Jurnal Sistem Informasi dan Manajemen) Jurnal Dirosah Islamiyah JuTEkS (Jurnal Teknik Elektro dan Sains) Tadbir: Jurnal Manajemen Dakwah Jurnal Sains Indonesia Formosa Journal of Multidisciplinary Research (FJMR) Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) JAKA (Jurnal Akuntansi, Keuangan dan Auditing) Edukasia: Jurnal Pendidikan dan Pembelajaran Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Widyaparwa Gunung Djati Conference Series AL ULYA: JURNAL PENDIDIKAN ISLAM JURSIMA Jurnal Manajemen Dan Bisnis Ekonomi DIROSAT: Journal of Education, Social Sciences & Humanities Jurnal Ilmiah Ekonomi dan Manajemen Akuntansi: Jurnal Riset Ilmu Akuntansi AN-NIDA: Jurnal Pendidikan Islam THORIQOTUNA: Jurnal Pendidikan Islam
Saeful Anwar
Universitas Ibn Khaldun Bogor
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Social Sciences Other

Published : 37 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 37 Documents
Search

 1   2   3   4 
TRANSFORMASI MODEL PENDIDIKAN PESANTREN BERBASIS KITAB KUNING KE DIGITAL PLATFROM (Studi di Pondok Pesantren Al-Ma’ruf Kendal, Dander, Bojonegoro) Agus Moh. Sholahuddin; Saeful Anwar
EDUKASIA Jurnal Pendidikan dan Pembelajaran Vol. 4 No. 1 (2023): Edukasia: Jurnal Pendidikan dan Pembelajaran
Publisher : LP. Ma'arif Janggan Magetan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62775/edukasia.v4i1.248

Abstract

The pesantren education model still maintains the tradition of learning the yellow book, the learning methods used are Sorogan, Bandongan and Weton. in the educational model so that it continues to exist in society, therefore Islamic boarding schools need to experience a shift in this research so that they can become examples of other Islamic boarding schools. The method used in this research is qualitative research. The purpose of this study was to describe the transformation of the yellow book-based Islamic boarding school education model into a digital platform at the Al-Ma'ruf Islamic boarding school, Kendal Village, Dander District, Bojonegoro Regency. This research was conducted on July 6, 2022. Data collection techniques used interviews to find out the transformation of the yellow book-based Islamic boarding school education model into a digital platform at the Al-Ma'ruf Islamic boarding school, as well as additional data in the form of observation and documentation. Data analysis in this research uses data triangulation. The results of this study examine the transformation of the Islamic boarding school education model based on the yellow book at the Al-Ma'ruf Islamic Boarding School, where formerly the kyai recited the yellow book, only carried out by students in the Islamic boarding school environment. the general public through digital platforms such as YouTube, Facebook, and Instagram. Factors that influence this transformation are the leadership of the kyai and modernization which is marked by the swift flow of information and the encouragement of students and alumni. The inhibiting factor is the conservative view of some people that the educational model applied is the best and does not need to be changed anymore
GERAKAN PENDIDIKAN KADER PENGGERAK NAHDLATUL ULAMA (PKPNU) DALAM PENCEGAHAN RADIKALISME DI BOJONEGORO: NAHDLATUL ULAMA DRIVING CADRE EDUCATION (PKPNU) MOVEMENT IN PREVENTING RADICALISM Saeful Anwar; Zumrotul Fauziah
Al Ulya: Jurnal Pendidikan Islam Vol. 7 No. 1 (2022): April
Publisher : Fakultas Tarbiyah - Universitas Nahdlatul Ulama Sunan Giri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/alulya.v7i1.1563

Abstract

Nahdlatul Ulama (NU) merupakan salah satu lembaga keagamaan terbesar yang ada di Indonesia yang memiliki posisi yang tegas terhadap maraknya fenomena radikalisme. Organisasi ini sangat banyak mengutarakan kecaman terhadap radikalisme di Indonesia. Maka dari itu, peran NU dalam mencegah radikalisme ini menjadi menarik untuk dikaji dan diteliti. Penelitian ini bertujuan untuk mendeskripsikan peran gerakan PKPNU? Bojonegoro terhadap pencegahan radikalisme. Selain itu, penelitian juga bertujuan untuk menjelaskan apa saja muatan materi dalam kegiatan gerakan PKPNU sebagai upaya pencegahan radikaslisme. Metode yang digunakan dalam penelitian ini adalah kualitatif deskriptif. Dari hasil analisis, menunjukkan bahwa sebagai upaya pencegahan radikalisme, NU di Bojonegoro menyelenggrakan PKPNU yang dilakukan secara masif dan sistematis di berbagai wilayah dengan mendatangkan instruktur dari PBNU. Materi yang dimuat dalam PKPNU tersebut meliputi: Aswaja, Keorganisasian, Wawasan Global, Spiritual, dan Penguatan Wawasan Kebangsaan. Dengan adanya gerakan PKPNU tersebut, diharapakan generasi NU di Bojonegoro akan terhindar dari pemikiran dan gerakan radikal.
Implementasi dan Faktor-Faktor yang Mempengaruhi Kesantunan Berbahasa Indonesia dalam Pendidikan Agama Islam Hoerudin, Cecep Wahyu; Saeful Anwar
An-nida: Jurnal Pendidikan Islam Vol. 11 No. 3 (2023): Juni
Publisher : Magister Pendidikan Agama Islam Universitas Islam Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30999/an-nida.v11i3.3430

Abstract

Penelitian ini bertujuan untuk membahas implementasi kesantunan berbahasa Indonesia serta faktor pendukung dan penghambatnya dalam pelajaran Pendidikan Agama Islam. Jenis penelitian ini adalah penelitian lapangan (field research) dengan menggunakan metode penelitian deskriptif. Sumber data yang digunakan meliputi dokumen, rekaman, arsip, hasil wawancara, observasi langsung, observasi partisipan dan perangkat fisik seperti video dan gambar. Metode pengumpulan data yang digunakan adalah (1) dokumentasi; (2) observasi; dan (3) wawancara. Teknik analisis data dalam penelitian ini adalah: (1) reduksi data; (penyajian data); dan (3) penarikan kesimpulan. Implementasi kesantunan berbahasa Indonesia dalam Pendidikan Agama Islam terdiri dari empat tahapan yang dilakukan yaitu, perencanaan, pengorganisasian, pelaksanaan, dan evaluasi. Faktor penghambat dalam implementasi kesantunan berbahasa Indonesia dalam Pendidikan Agama Islam karena adanya pelanggaran maksim atau indikator kesantunan, karena hal ini sering terjadi pada saat proses pembelajaran berlangsung. Sedangkan faktor pendukungnya adalah, adanya sumber daya manusia yang mumpuni, yaitu guru-guru pengajar memiliki pengalaman mengajar yang cukup lama sehingga mampu menyampaikan pemahaman kepada peserta didik tentang pentingnya berbahasa Indonesia yang santun dalam kehidupan sehari-hari, khususnya di lingkungan sekolah. Tersedianya bahan ajar dan media pembelajaran yang memadai. Antusiasme peserta didik untuk mengikuti mata pelajaran PAI karena memiliki keterkaitan dengan materi agama yang telah mereka pelajari di rumah atau pondok. Motivasi dari orang tua, teman dan saudara untuk selalu berbahasa Indonesia santun dimanapun berada, sehingga akan membantu keberhasilan program penerapan kesantunan berbahasa Indonesia dalam Pendidikan Agama Islam.
Implementasi Pendidikan Karakter Melalui Kegiatan Ekstrakurikuler Panahan Ula Nur Azizah; Saeful Anwar; Ase Kurniawan
THORIQOTUNA: Jurnal Pendidikan Islam Vol. 7 No. 2 (2024): THORIQOTUNA: Jurnal Pendidikan Islam
Publisher : Prodi PAI IAILM Suryalaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47971/tjpi.v7i2.1273

Abstract

The deviation of character values ​​that often occurs in the digital era like today is making its users more apathetic and individualistic. Character education is education that prioritizes the essence and meaning of morals and ethics, so that it will be able to form good students' personalities. This study aims to analyze and explain the implementation of Character Education through extracurricular activities at SMKIT Abu Dzar. This study is qualitative and takes interview, observation and documentation data. The results of this study are that the implementation of the archery extracurricular program at SMKIT Abu Dzar is one of the extracurricular activities for students that aims to strengthen the character of students through structured activities. This archery program has succeeded in instilling character values ​​such as spirituality, discipline, hard work, independence, appreciation for achievement, and friendly/communicative attitudes. This character is reflected in the daily habits of students at school, which develop through repeated practice so that it becomes part of their lives and the instilled character values ​​have a positive impact on students.
Pengaruh Augmentasi Data dan Dropout terhadap Generalisasi Model Deteksi Kerusakan Panel Surya Irfan Ali; Rudi Kurniawan; Dadang Sudrajat; Saeful Anwar; Nining Rahaningsih
Prosiding SISFOTEK Vol 9 No 1 (2025): SISFOTEK IX 2025
Publisher : Ikatan Ahli Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Automatic defect detection in photovoltaic (PV) panels is a crucial challenge for maintaining energy efficiency and reliability in renewable power systems. However, the limited availability of labeled datasets and high environmental variability often lead deep learning models to overfit and lose generalization capability. This study investigates the combined effects of data augmentation and dropout regularization on improving the generalization performance of transfer learning-based models for multi-class PV defect classification. Two pretrained architectures, VGG16 and InceptionV3, were fine-tuned using the Faulty Solar Panel dataset comprising six defect categories. Experiments were conducted under three main configurations: (1) baseline without regularization, (2) augmentation only, and (3) combined augmentation–dropout with dropout rates of 0.2, 0.3, and 0.5. Performance evaluation employed accuracy, precision, recall, macro-F1, and confusion matrix analysis for each defect class. The results demonstrate that the combination of data augmentation and moderate dropout (0.3) significantly enhances generalization, achieving 92.10% accuracy and 0.90 macro-F1 with the InceptionV3 architecture. Higher dropout values (0.5) caused slower convergence and decreased accuracy. These findings confirm that balanced integration of augmentation and dropout effectively mitigates overfitting and strengthens model robustness under limited and imbalanced data conditions. The proposed approach provides practical implications for implementing reliable, lightweight, and deployable deep learning-based inspection systems in real-world PV monitoring using edge computing devices.
Integrasi Deep Learning Multimodal Untuk Peramalan Penjualan Toko Menggunakan Keras Functional API Khaerul Anam; Dadang Sudrajat; Saeful Anwar; Rudi Kurniawan
Prosiding SISFOTEK Vol 9 No 1 (2025): SISFOTEK IX 2025
Publisher : Ikatan Ahli Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Store sales forecasting based on historical data has been widely studied; however, most conventional approaches remain limited to single time series data and are less capable of capturing the complex influence of external factors. Existing knowledge suggests that deep learning can improve forecasting accuracy compared to traditional statistical methods, but what remains unclear is the extent to which multimodal integration—combining time series, economic, and categorical data—can enhance predictive performance in a dynamic retail context. This study aims to develop and evaluate a multimodal deep learning model using the Keras Functional API for store sales forecasting. The methodology involves collecting and processing daily transaction data, oil prices, holidays, and store information, followed by preprocessing, feature engineering, normalization, and time-window construction stages. Four architectures were tested—LSTM, 1D CNN, CNN+RNN, and Multiscale CNN—with performance evaluation conducted using Mean Absolute Error (MAE). The results indicate that multimodal integration yields a significant improvement compared to single-source data, with the 1D CNN model achieving the best performance at an MAE of 57,4318. The discussion highlights that integrating external variables such as oil prices and holidays enhances the robustness of predictions, while the main challenges remain in high computational requirements and limited model interpretability. This study concludes that the multimodal deep learning approach provides a scientific contribution by enriching the literature on sales forecasting while offering practical implications for the retail sector in inventory management, promotional planning, and data-driven decision-making.
L1 Interference and Pronunciation Difficulties among Pre-service EFL Teachers in Indonesia Andriani, Agis; Saeful Anwar; Sitti Syakira
Edukasi Vol 13 No 1 (2026): Edukasi: Jurnal Pendidikan dan Pengajaran |in progess|
Publisher : Universitas Islam Negeri Raden Fatah Palembang, South Sumatra, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/ejpp.v13i1.32317

Abstract

Pronunciation plays a critical role in English as a Foreign Language (EFL) learning, as it directly influences learners’ communication fluency and comprehensibility. However, in the Indonesian EFL context, many pre-service English teacher students continue to experience pronunciation difficulties, which are commonly influenced by their first language (L1), limited early exposure to English, and the complexity of English phonology. This study aimed to investigate the types of pronunciation difficulties faced by pre-service English teacher students, the influence of L1 interference on their English pronunciation, and the strategies they employ to overcome these challenges. This research combined qualitative thematic analysis and acoustic phonetic analysis, involved four pre-service English teacher students from diverse regional language backgrounds, Sundanese, Javanese, Buginese, and Ambonese Malay. Data were collected through semi-structured interviews conducted online via Zoom, and vowel formant analysis was conducted using PRAAT software to compare the participants’ vowel production with native speaker benchmarks. The data analyzed using thematic analysis framework revealed five central themes: (1) perceived pronunciation difficulties and language awareness, (2) challenges with English phonemes absent in L1, (3) the influence of L1 stress, rhythm, and intonation, (4) pronunciation learning strategies including classroom practices, and (5) motivation linked to professional identity. Additionally, motivation emerged as a significant factor in improving pronunciation. The PRAAT analysis confirmed that the participants’ L1 backgrounds strongly influenced variations in vowel production. It concludes that L1 interference significantly shapes pronunciation difficulties, while self-awareness, motivation, and active learning strategies play essential roles in mitigating these challenges.
Co-Authors Abas Mansur Tamam Abdul Azis Ade Irma Purnamasari Adhitya Wibisono Afif, M Nur Afifatu Fachrudin Agus Moh. Sholahuddin Ahmad Bahrum Maula Rahman Ahmad Munajim Akhmad Alim Ananda Rafly Andriani, Agis Anisa Aprinus Salam Arif Nur Hakim Arif Rinaldi Dikananda Ase Kurniawan Atang Sutandi Azkal Muhammad Azkiya Azzam Izzudin Bani Nurhakim Basuki Sumawinata Dadang Sudrajat Darmono Taniwiryono Dicky Miftakhul Rizki Ester Angeline Farid Ali Ma'ruf Fauziah, Zumrotul Fithri Muliawati Ghaida Refiana Zahra Hadianto Nur Fadhli Happy Widiastuti Herni Syahara Heru B. Pulunggono Hoerudin, Cecep Wahyu Husni Mubarok Ibdalsyah Ibdalsyah Irfan Ali Isni Rinjani Iwan Setiawan Joko, Ganang Prihatmoko Khaerul Anam M Danang Mukti Darmawan Masyhurul Khamis Melawati Melawati Mia Lasmi Wardiyah, Mia Lasmi Muhammad Hilmi Mulyawan Mulyawan Nabil Makarim Najla Kayla Nanda Octavia Naufal Ridho Setyo Laksono Nema Widiantini Nining R Nining Rahaningsih Nisa Dienwati Nuris Novayanti Magdalena Gultom Novia Wulandari Nur Afif nur syarief abdullah Nurhadi Kastamin Odi Nurdiawan Rahma Amelia Purnama Rahmah Mulanti Rahman, Riem Rahayu Resti Dwi Anjani Ridwan Siskandar Rifqi Nurfadillah Rudi Kurniawan Ruli Herdiana Rusbandi Rusbandi Shofian Yunus Siswanto Siti Komariyah Sitti Syakira Sofyan Alhaq Suratun Suratun Syifa Rahmatul Awaliyah Ula Nur Azizah Wiyoto Wiyoto Yundari, Yundari