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All Journal ComEngApp : Computer Engineering and Applications Journal Jurnal Pendidikan Fisika Undiksha Jurnal Diskursus Islam English Review: Journal of English Education KARSA: Jurnal Sosial dan Budaya Keislaman (Journal of Social and Islamic Culture) Al-Ahwal: Jurnal Hukum Keluarga Islam Jurnal Deformasi JURNAL NASIONAL TEKNIK ELEKTRO Sosioreligius: Jurnal Ilmiah Sosiologi Agama Edumatsains Jurnal Teknik Jurnal Pengabdian UntukMu NegeRI Sosial Horizon: Jurnal Pendidikan Sosial Maqasid: Jurnal Studi Hukum Islam Rancang Bangun Studia Religia: Jurnal Pemikiran dan Pendidikan Islam Journal Of Nursing Practice Jurnal At-Tibyan: Jurnal Ilmu Alqur’an dan Tafsir Pendas : Jurnah Ilmiah Pendidikan Dasar Jurnal Keperawatan Muhammadiyah Halaman Olahraga Nusantara : Jurnal Ilmu Keolahragaan Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan JOURNAL EQUITABLE YUSTISI International Journal of Elementary Education JUMANJI (JURNAL MANAJEMEN JAMBI) Jurnal Studi Ilmu-ilmu Al-Qur'an dan Hadis Al-Hikmah: Jurnal Agama dan Ilmu Pengetahuan Psikoislamedia : Jurnal Psikologi MIMBAR : Jurnal Penelitian Sosial Dan Politik Al-Adalah: Jurnal Hukum dan Politik Islam PERSPEKTIF Santhet: (Jurnal Sejarah, Pendidikan Dan Humaniora) Al-Ittihad: Jurnal Pemikiran dan Hukum Islam JMTS: Jurnal Mitra Teknik Sipil Jurnal Pengabdian Masyarakat Bumi Raflesia Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika MDJ (Makassar Dental Journal) ADHKI: Journal of Islamic Family Law International Journal of Electrical, Energy and Power System Engineering (IJEEPSE) Medium : Jurnal Ilmiah Fakultas Ilmu Komunikasi Journal Informatic, Education and Management (JIEM) Al Marhalah Jurnal Pengabdian kepada Masyarakat Nusantara Journal Zetroem Yustisi: Jurnal Hukum dan Hukum Islam Koordinat : Jurnal Pembelajaran Matematika dan Sains Indian Journal of Forensic Medicine & Toxicology JOURNAL SCIENTIFIC OF MANDALIKA (JSM) Jurnal Math-UMB.EDU Inspirasi Ekonomi : Jurnal Ekonomi Manajemen Ekasakti Jurnal Penelitian dan Pengabdian (EJPP) International Journal of Economics, Management, Business, and Social Science Epistema Journal of Computer Scine and Information Technology JIKI (Jurnal Ilmu Komputer dan Informatika) Jurnal Bingkai Ekonomi (JBE) Jurnal Pengabdian Kepada Masyarakat Patikala TEKIBA : Jurnal Teknologi dan Pengabdian Masyarakat Al-Ubudiyah: Jurnal Pendidikan dan Studi Islam Humantech : Jurnal Ilmiah Multidisiplin Indonesia International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) BASHAIR Jurnal Kolaboratif Sains NUSRA: Jurnal Penelitian dan Ilmu Pendidikan Nurse and Holistic Care DEVELOPMENT : Journal of Community Engagement MACHINERY: Jurnal Teknologi Terapan Jurnal Ilmiah Bakti Farmasi Jurnal Multidisiplin Madani (MUDIMA) Al-MIKRAJ: Jurnal studi Islam dan Humaniora Jurnal Cakrawala Ilmiah Warmadewa Minesterium Medical Journal HEUTAGOGIA: Journal of Islamic Education Jurnal Sains Informatika Terapan (JSIT) Inovasi Matematika (Inomatika) Denta: Jurnal Kedokteran Gigi jurnal administrasi politik dan sosial Ahmad Dahlan Medical Journal Pedagogik : Jurnal Pendidikan Guru Sekolah Dasar Indonesian Journal of Electrical Engineering and Renewable Energy (IJEERE) International Journal of Education and Teaching Zone Jurnal Andalas: Rekayasa dan Penerapan Teknologi Edu Research : Jurnal Penelitian Pendidikan Al Lughawiyaat PEKERTI Journal Pendidikan Agama Islam & Budi Pekerti Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Literasi: Jurnal Pendidikan Guru Indonesia International Journal of Economics (IJEC) Journal of Geology and Exploration Neo Journal of economy and social humanities International Journal of Integrative Sciences Hexagon JISPE Journal of Islamic Primary Education International Journal of Advanced Science Computing and Engineering QANUN: Journal of Islamic Laws and Studies Jurnal Guru Pencerah Semesta (JGPS) Jurnal Inovasi Pendidikan dan Teknologi Informasi (JIPTI) Jurnal Katalisator Journal of Educational Management Research Information Technology Education Journal Qawwam Jurnal Komunikasi dan Kebudayaan Ezra Science Bulletin Gudang Jurnal Multidisiplin Ilmu Jurnal Pengabdian Bangsa Kelola: Jurnal Manajemen Pendidikan Jurnal Elektro Kontrol (ELKON) MILRev: Metro Islamic Law Review JRIIN :Jurnal Riset Informatika dan Inovasi Ekasakti Journal of law and Justice ISCO Al-Zayn: Jurnal Ilmu Sosial & Hukum Jurnal Pengabdian Masyarakat (Jupemas) Jurnal Quancom: Jurnal Quantum Komputer Jurnal Pengabdian Masyarakat dan Riset Pendidikan BATOBO: Jurnal Pengabdian Kepada Masyarakat Indev: Literasi Media Dakwah dan Pengembangan Masyarakat EduInovasi: Journal of Basic Educational Studies MADIKA: Jurnal Politik dan Governance Jurnal Penelitian Pendidikan Indonesia (JPPI) Jurnal Sosial Ekonomi Perikanan Jurnal Pengabdian Kepada Masyarakat Meambo MERDEKA: Jurnal Ilmiah Multidisiplin Jurnal Al-Mubarak: Jurnal Kajian Al-Qur'an dan Tafsir Jurnal Imiah Pengabdian Pada Masyarakat (JIPM) Jurnal Teknik dan teknologi tepat guna Jurnal Pengabdian Masyarakat Bangsa AL-ABSHOR : Jurnal Pendidikan Agama Islam The Indonesian Journal of Computer Science Majalah Pengabdian Indonesia Jurnal Manajemen Bisnis dan Keuangan MASADIR: Jurnal Hukum Islam JCSE: Journal of Community Service and Empowerment International Journal of Wireless And Multimedia Communications Jurnal MediaTIK Macca: Science-Edu Journal TARBIYAH: Jurnal Pendidikan Agama Islam Journal Information Technology Trends International Journal of Economics, Business and Innovation Research JURNAL PENGABDIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (JP3L) Hikamatzu Journal of Multidisciplinary Research Emitor: Jurnal Teknik Elektro Al-Bustan: Jurnal Pendidikan Islam LEMBARAN PUBLIKASI MINYAK DAN GAS BUMI Jurnal Riseta Soshum El-Madaniyah: Jurnal Pengabdian Masyarakat Journal of Community Service Jurnal Riset Multidisiplin Edukasi AT-TAKLIM: Jurnal Pendidikan Multidisiplin INOVASI: Jurnal Ekonomi, Keuangan, dan Manajemen Journal of Engineering Science and Technology Applications DARUSSALAM: Scientific Journal of Islamic Education JMP : Jurnal Mahasiswa Pemerintahan Journal of Biotropical Research and Nature Technology Journal of Statistics and Data Science Jurnal Pgmi Uniga Aksi Kita: Jurnal Pengabdian Kepada Masyarakat UPEJ : Unnes Physics Education Journal As-Sulthan Journal of Education JURNAL PENDIDIKAN DAN KEBUDAYAAN MISSIO Episteme: Jurnal Kajian Mahasiswa Journal of Primary Education Innovation and Research INTENS Jurnal Inovasi Sains Teknologi dan Bisnis Cognitia : International Engineering Journal Melayunesia Law JUPIKMAS Innovasi : Jurnal Inovasi Pendidikan Jurnal Kajian Pendidikan Teknik Bangunan
Firdaus
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Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy 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 Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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PENERAPAN MODEL PEMBELAJARAN CONTEXTUAL TEACHING AND LEARNING BERBANTUAN CANVA DALAM MENINGKATKAN HASIL BELAJAR MATEMATIKA SISWA KELAS IV SD NEGERI 12 MANURUNGE Wahyuni, Wiani; Firdaus; Sabir, Achmad
MACCA : Science-Edu Journal Vol. 2, No.2 (2025): Juni 2025
Publisher : Education and Talent Development Center of Indonesia (ETDC Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51574/msej.v2i2.3110

Abstract

This research is classroom action research which aims to determine descriptions of teacher activities, student activities, and learning outcomes in implementing the Canva-Assisted CTL learning model in Improving Mathematics Learning Outcomes for grade IV students at SD Negeri 12 Manurunge. The subjects in this research were all 23 grade IV students and the homeroom teachers. Data collection techniques use were observation and tests. The data analysis techniques in this research are data reduction, data presentation, and drawing conclusions. The research results showed that teacher activities in managing learning experienced an increase in the optimal learning process from cycle I to cycle II seen from teacher activities in implementing good learning designs in accordance with the steps of the CTL learning model assisted by Canva. Student activity in participating in the learning process has increased from cycle I to cycle II as seen from the results of observations during the learning process using observation sheets. As for student learning outcomes in cycle I, there were 16 out of 23 students who completed with an average score of 79.1 with the percentage of student learning completeness reaching 69.57% (sufficient), while student learning outcomes in cycle II were 20 out of 23 students achieving a score. completed with an average score of 87.6 with a student learning completion percentage reaching 86.9% (good). It can be concluded that the Canva-assisted CTL learning model can improve student Mathematics learning outcomes.
Phytochemical Screening n-hexane Extract of Sponge Xestospongia testudinaria from Spermonde Archipelago Kalalinggi, Septaria Yolan; Soekamto, Nunuk Hariani; Firdaus; Appa, Felycitae Ekalaya; Irmawan, Muhammad
Journal of Biotropical Research and Nature Technology Vol. 1 No. 2 (2023): Borneo
Publisher : Prodi Biologi FMIPA Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52850/borneo.v1i2.8992

Abstract

One of the islands in Indonesia that is inhabited by sponges of various types is the Spermonde Archipelago, which is located in the southern part of the Makassar Strait. Sponge X. testudinaria is one of the sponges that dominates the Spermonde Islands. The difference in environmental conditions where the sponge lives causes the sponge X. testudinaria to have a different adaptation mechanism in producing secondary metabolites as self defense. Research on the of compounds from n-hexane extract sponge X. testudinaria has been carried out using phytochemical tests. Extraction begins with maceration using n-hexane solvent then the solvent is moved using an evaporator. Identification of extract functional groups using IR spectra. The results of the phytochemical screening indicated the presence of alkaloids and steroids which were supported by IR spectrum data indicating the presence of aliphatic NH, C=O and CH groups.
Movable Solar Battery Charger Untuk Nelayan Tangkap di Kecamatan Tempuling, Indragiri Hilir, Provinsi Riau Budhi Anto; Firdaus; Dahliyusmanto; Jahrizal
Aksi Kita: Jurnal Pengabdian kepada Masyarakat Vol. 1 No. 3 (2025): MEI-JUNI
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/eceyqr81

Abstract

Nelayan tangkap skala kecil pada umumnya menggunakan lampu minyak tanah (lampu petromaks) untuk menangkap ikan dengan teknik light fishing. Penggunaan minyak tanah saat ini sedang mengalami kendala ketersediaan, karena sejak tahun 2008, pemerintah telah membatasi penggunaan minyak tanah dan menggantinya dengan LPG. Kondisi ini telah berpengaruh buruk pada kelangsungan usaha nelayan tangkap. Artikel ini melaporkan kegiatan pengabdian masyarakat yang dilaksanakan di Kecamatan Tempuling, Kabupaten Indragiri Hilir, Provinsi Riau yaitu pengadaan lampu LED bertenaga baterai beserta alat pengisian muatan baterai menggunakan listrik tenaga surya, untuk mensubstitusi lampu petromaks. Panel surya dipasang pada suatu konstruksi yang dilengkapi roda, sehingga dapat dipindah-pindah dengan mudah. Karenanya peralatan ini dinamakan movable solar battery charger (MSBC). Metode pelaksanaan pengabdian masyarakat mencakup perancangan, pembuatan, dan pengujian MSBC, penyerahan MSBC kepada mitra, dan evaluasi penggunaan MSBC oleh mitra. Kami telah mengevaluasi mitra untuk mengetahui dampak penggunaan teknologi MSBC dan lampu LED bertenaga baterai terhadap usaha penangkapan ikannya. Hasil evaluasi menunjukkan bahwa mitra telah menggunakan lampu LED bertenaga baterai untuk menangkap ikan di malam hari, dan menggunakan MSBC untuk mengisi muatan baterai di siang hari. Dengan menggunakan MSBC, mitra telah beralih dari penggunaan lampu petromaks ke lampu LED, sehingga dapat menghemat biaya operasional sebesar Rp 180.000 tiap bulan.
Identification of Indonesian Authors Using Deep Neural Networks Firdaus; Fahreza, Irvan; Nurmaini, Siti; Darmawahyuni, Annisa; Sapitri, Ade Iriani; Rachmatullah, Muhammad Naufal; Lestari, Suci Dwi; Fachrurrozi, Muhammad; Afrina, Mira; Putra, Bayu Wijaya
Computer Engineering and Applications Journal (ComEngApp) Vol. 11 No. 1 (2022)
Publisher : Universitas Sriwijaya

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Abstract

Author Name Disambiguation (AND) is a problem that occurs when a set of publications contains ambiguous names of authors, i.e. the same author may appear with different names (synonyms) in other published papers, or author (authors) who may be different who may have the same name (homonym). In this final project, we will design a model with a Deep Neural Network (DNN) classifier. The dataset used in this final project uses primary data sourced from the Scopus website. This research focuses on integrating data from Indonesian authors. Parameters accuracy, sensitivity and precision are standard benchmarks to determine the performance of the method used to solve AND problems. The best DNN classification model achieves 99.9936% Accuracy, 93.1433% Sensitivity, 94.3733% Precision. Then for the highest performance measurement, the case of Non Synonym-Homonym (SH) has 99.9967% Accuracy, 96.7388% Sensitivity, and 97.5102% Precision.
Forecasting Of Intensive Care Unit Patient Heart Rate Using Long Short-Term Memory Firdaus; Fachrurrozi, Muhammad; Nurmaini, Siti; Tutuko, Bambang; Rachmatullah, Muhammad Naufal; Darmawahyuni, Annisa; Sapitri, Ade Iriani; Islami, Anggun; Maharani, Masayu Nadila; Putra, Bayu Wijaya
Computer Engineering and Applications Journal (ComEngApp) Vol. 12 No. 3 (2023)
Publisher : Universitas Sriwijaya

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Abstract

Cardiac arrest remains a critical concern in Intensive Care Units (ICUs), with alarmingly low survival rates. Early prediction of cardiac arrest is challenging due to the complexity of patient data and the temporal nature of ICU care. To address this challenge, we explore the use of Deep Learning (DL) models, specifically Long ShortTerm Memory (LSTM), Bidirectional LSTM (BiLSTM), and Gated Recurrent Unit (GRU), for forecasting ICU patient heart rates. We utilize a dataset extracted from the MIMIC III database, which poses the typical challenges of irregular time series data and missing values. Our research encompasses a comprehensive methodology, including data preprocessing, model development, and performance evaluation. Data preprocessing involves regularizing and imputing missing values, as well as data normalization. The dataset is partitioned into training, testing, and validation sets to facilitate model training and evaluation. Fine-tuning of hyperparameters is conducted to optimize each DL architecture's performance. Our results reveal that the GRU architecture consistently outperforms LSTM and BiLSTM in predicting heart rates, achieving the lowest RMSE and MAE values. The findings underscore the potential of DL models, particularly GRU, in enhancing the early detection of cardiac events in ICU patients.
TeleOTIVA: Advanced AI-Powered Automated Screening System for Early Detection of Precancerous Lesions Rachmatullah, Muhammad Naufal; Nurmaini, Siti; Agustiansyah, Patiyus; Sastradinata, Irawan; Arum, Akhiar Wista; Firdaus; Darmawahyuni, Annisa; Tutuko, Bambang; Sapitri, Ade Iriani; Islami, Anggun
Computer Engineering and Applications Journal (ComEngApp) Vol. 14 No. 1 (2025)
Publisher : Universitas Sriwijaya

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Abstract

In 2023, the Indonesian Ministry of Health launched the Rencana Aksi Nasional (RAN) to enhance the detection and management of cervical cancer in Indonesia. One of the main pillars in this movement is the implementation of early screening for precancerous lesions aimed at identifying and treating these lesions before they develop into cervical cancer. This effort includes improving public access to healthcare services, providing education and awareness about the importance of early detection, and utilizing the latest technology in screening procedures. It is hoped that, through these targeted and effective interventions, the incidence of cervical cancer can be significantly reduced. This research aims to facilitate the early detection screening process for cervical precancerous lesions, particularly in difficult areas for medical experts to reach. This study also seeks to assist obstetricians and gynecologists in detecting precancerous lesions automatically, quickly, and accurately. By developing an advanced technology-based screening system, it is hoped that early detection of precancerous lesions can be carried out more efficiently, thereby increasing the chances of timely treatment and reducing the incidence of cervical cancer across various regions in Indonesia. This system is designed to provide reliable and user-friendly diagnostic support as it is developed on a mobile platform that can be accessed anytime and anywhere. This research developed a system for early screening called TeleOTIVA. The TeleOTIVA application system is an advanced platform that uses artificial intelligence (AI) based approaches to provide optimal services in early detection of precancerous lesions. This application is designed for mobile, allowing users to access and use its advanced features anytime and anywhere. With the integration of AI technology, TeleOTIVA can detect and analyze cervical precancerous lesions accurately and quickly to provide accurate and efficient screening results. The TeleOTIVA application system is capable of providing satisfactory detection results. The performance of the proposed model achieves accuracy, sensitivity, and specificity levels above 90%. With this high performance, TeleOTIVA ensures that the detection of precancerous lesions is carried out with high reliability and precision, instilling greater confidence in healthcare professionals and users during the screening and diagnosis process. The implementation of our application model offers numerous advantages over traditional methods. It significantly enhances efficiency by automating processes, reduces human error through rigorous error-checking mechanisms, and accelerates the processing of large datasets. These improvements streamline operations and ensure more reliable and rapid data analysis.
Analyzing Co-Authorship Networks in Indonesian PTN-BH Institution Through Social Network Analysis Firdaus; Nurmaini, Siti; Kurniawan, Anggy Tias; Darmawahyuni, Annisa; Rachmatullah, Muhammad Naufal; Raflesia, Sarifah Putri; Lestarini, Dinda
Computer Engineering and Applications Journal (ComEngApp) Vol. 14 No. 1 (2025)
Publisher : Universitas Sriwijaya

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Abstract

This study involved an examination of bibliographic information from Indonesia. Our approach centered on utilizing social network analysis to explore the co-authorship relationships among Indonesian authors, focused on the co-authorship network within the context of authors affiliated with Indonesian state universities known as "PTN-BH," which specialize in higher education and legal studies. To conduct our analysis, we gathered publication data from the Scopus database, spanning a time frame from 1948 to 2020. The primary methodology entailed constructing a graph composed of nodes and edges, representing the co-authorship connections among these authors. By employing the Louvain method, we were able to identify prominent communities within this graph. We carried out a comprehensive analysis at both macro and micro levels, involving measurement techniques tailored to these perspectives. Through this approach, we revealed and examined the collaboration patterns among authors associated with PTN-BH institutions, as illuminated by the co-authorship network analysis.
Exploration U-Net Architecture for Cervical Precancerous Lesions Segmentation Arum, Akhiar Wista; Rachmatullah, Muhammad Naufal; Tutuko, Bambang; Firdaus; Darmawahyuni, Annisa; Sapitri, Ade Iriani; Islami, Anggun; Ananda, Dea Agustria
Computer Engineering and Applications Journal (ComEngApp) Vol. 14 No. 2 (2025)
Publisher : Universitas Sriwijaya

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Abstract

The automatic analysis of images for the early detection of cervical cancer relies on the segmentation of cervical precancerous lesions. This paper investigates the incorporation of various CNN-based backbones into a U-Net model for improved segmentation accuracy. A set of twelve backbones was tested, including VGG16, VGG19, ResNet50, ResNext50, EfficientNetB7, InceptionResNetv2, DenseNet201, InceptionV3, MobileNet V2, SE-ResNet50, SE-ResNext50, and SE-Net154. Evaluation metrics were computed using Intersection over Union, pixel accuracy, and Dice coefficient. The findings demonstrate that U-Net with EfficientNetB7 backbone outperforms all other models with an IoU of 73.13%, pixel accuracy of 89.92%, and a Dice coefficient of 77.64%. These results were visually confirmed; segmentation outputs were examined, showing accurate delineation of lesion borders. The dominating performance of EfficientNetB7 was observed to be due to high feature extraction efficiency coupled with powerful spatial information representation. The study is, however, limited by a lack of clinical validation and expert evaluation from trained medical personnel. The results demonstrate the effectiveness of combining the U-Net architecture with advanced CNN backbones towards designing automated systems to analyze medical images.
Deep Learning for ECG-Based Arrhythmia Classification Based on Time-Domain Features Sari, Ririn Purnama; Darmawahyuni, Annisa; Tutuko, Bambang; Firdaus; Rachmatullah, Muhammad Naufal; Sapitri, Ade Iriani; Islami, Anggun; Arum, Akhiar Wista
Computer Engineering and Applications Journal (ComEngApp) Vol. 14 No. 2 (2025)
Publisher : Universitas Sriwijaya

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Abstract

Arrhythmia is a disturbance in the electrical activity of the heart that can affect the rhythm and duration of the heartbeat. Early detection of arrhythmia is crucial to prevent more serious complications. Electrocardiogram (ECG) is an effective non-invasive diagnostic tool in detecting arrhythmia, but manual detection by experts takes time. To overcome this limitation, this research develops an arrhythmia classification system by utilizing deep learning. This study involves a series of stages, starting from pre-processing, feature extraction, and arrhythmia classification models using convolutional neural networks (CNN) and long short-term memory (LSTM). The results showed that feature extraction successfully improved model efficiency and accuracy. Evaluation of model performance using accuracy, recall, precision, specificity, and F1-score metrics showed that the LSTM model achieved 95% accuracy, 96% recall, 96% precision, 99% specificity, and 96% F1-score, outperforming the CNN model which achieved 91% accuracy, 90% recall, 89% precision, 98% specificity, and 89% F1-score. Thus, these results indicate that the LSTM model is superior in arrhythmia classification.
Analisis Nilai-Nilai Pendidikan Karakter dalam Novel Si Anak Kuat Karya Tere Liye Lu’lu’ Il Qolbie; Pamungkas Stiya Mulyani; Firdaus
MERDEKA : Jurnal Ilmiah Multidisiplin Vol. 2 No. 6 (2025): Agustus
Publisher : PT PUBLIKASI INSPIRASI INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62017/merdeka.v2i6.5027

Abstract

Komponen penting dari sistem pendidikan Indonesia adalah pendidikan karakter. Tujuannya adalah untuk membesarkan generasi muda yang tidak hanya berbakat secara intelektual, tetapi juga baik, kuat, dan berakhlak mulia. Penelitian ini dilatarbelakang oleh pendidikan karakter. Tujuan untuk prinsip-prinsip pendidikan karakter yang terdapat dalam buku Si Anak Kuat karya Tere Liye, untuk memperjelas pentingnya prinsip-prinsip tersebut bagi siswa sekolah dasar. Studi ini adalah tipe penelitian literatur, yang juga dikenal senbagai penelitian pustaka. Proses pengumpulan data melalui penelitian kepustakaan melibatkan perolehan informasi dari berbagai sumber kepustakaan, termasuk dokumen, majalah, jurnal, koran, dan buku. Menemukan berbagai teori, aturan, prinsip, pendapat, gagasan, dan sumber daya lain yang dapat diterapkan pada analisis dan penyelesaian masalah yang diteliti adalah tujuan mendasar dari penelitian kepustakaan. Kesimpulan dari penelitian ini menunjukkan bahwa pendidikan karakter dalam novel Si Anak Kuat sangat sesuai untuk siswa karena novel ini memberikan banyak pelajaran berguna yang dapat mereka terapkan dalam kehidupan sehari-hari.  
Co-Authors A. Syachruroji AA Sudharmawan, AA Abd Kadir, Abd Abd. Kadir Abdi Suprayitno Abdul Basir, Muchammad Abdul Gafar Karim Abdul Gafara Karim Abdul Haris Sunubi Abdul Kadir Abiyyu Caesar Bimoseno Aboalela, Nahi Hashim Fathi Abu Bakar Abubakar, Achmad Achmad Abubakar Achmad Yarziq Mubarak Salis Salamy Ade Hidayat, Ade Ade saputra Ade Saputra Adhe Amelia Oktaviana adhit syach fiqri Aditya Putri, Metha Adyatma Ramadhani Afrida Agnes Triana Pamassangan Agus Firmansyah Agus Munandar Agustiani, Dian Putri Ahmad Fauzul Mubin Ahmad Julio Saputra Ahmad Lahmi Ahmad Mujahid Ainania Aura Sabriena Putri Aisyah Ajeng Siti Nurul Kharima Akbar, Rizky Akhwalis Shalihah Akhyar Akolo, Ingka Rizkiyani Al Ayyubi, Ibnu Imam Al Fauzi, Muh. Reyhan Al Imran Alam Budiman Thamsi Albarahmeh, Mohammad Yusuf Musa Aldi Suryadi Alexsander Alfalah Alfalisyado Ali Muchammad Aliana, Cut Rizka Aliyah Sayyidina Putri Bahtiar Alvin Arinanda Alvita Widya Kustiawan Putri Ambarwati, Riris Ambo Dalle Amin , Sulvahrul Aminullah, Lanang Maulana Amir Hamzah Amir Hamzah Amiruddin Ammase. S Amru Sofian Ananda, Dea Agustria Ananda, Kristian Anasrul Andi Fahdli Heriansyah Andi Khaerun Nisa Andi Muhammad Ridwan Andi Zulfikar Darussalam Andikawati Fitriasari Andini Hardiningrum Andry Halim Anggestia, Wulan ANISAH Anjani, Dito Fatria Annisa Efidiawati Annisa Salsabilla Ansar, Lukman Anshari, Erwin Anto Apriyanto Anwar, Ardian Aprilino Alfa Kurmasela Apriwandi Apriyal, Derry Ardani, Maulidya Ardiansyah, Diky Ardillah, Ardiyah Arfah, Susilo Ariana Ari Sandhyavitri Arif Ahmad Marzuki, Mudzakkir Muhammad Arif Nurwaskito Arifin, Mubdiana Arman Hari Susilomarto Arni Sasmitasari Arqam Arrachman Arum, Akhiar Wista Ashafidz Fauzan Dianta Ashari, Meisar Asih Vivi Yandari, Indhira aska, bayu pratama Aslam, Beni Asri Friantori, Mohammad Asriadi Asril Aswini, Nur Atik Rahayu Aulia Miranti Larasathi Awaliah Nafiu, Wd Rizky Awaliah, Wd Rizky Awaluddin Muin Ayu, Friska Azhari Zakri, Azriyenni Azharuddin Azzahraty Bagus Abdillah Baharuddin Baharuddin Bakri, Suriyanto Bambang Tutuko Banta Diman Baskoro, Aji Basra, Sri Meiweni Basrial Zuhri Bastam, Mukhlis Nahriri Bayu Wijaya Putra Bhima Nareshwara , Adhitya Billy Hendrik Bisma Putra Pratama Bony Pramono Boy Ihsan Budhi Anto Budiman Sakti Cendana , Dori Mitra Chalik, Citra Aulian Daffa Wahid Sya'bani Dahliyusmanto, Dahliyusmanto Darmawahyuni, Annisa Dasrizal Marah Nainin Della Endangtri Deniyatno, Deniyatno Deny Fatrianto Edyzoh Eko Widodo Deny Fatryanto Desminar Desnita, Eka Dessy Ana Sari Desti Nurdiana Dharma, Robby Dian Pertiwi Dian Yayan Sukma, Dian Yayan Dimas Bagus Susanto Dimas Satrio Wijaksono Dinda Lestarini Dinul Akhiyar Dodi Setiawan Riatmaja doni doni Dony Hutabarat Duski Samad Dwi Angesti Putri , Refly dwi cahyani, Orina Edi Wanda Edi Winarno Edi Winarno, Edi Edy Mahfuz Eka Damayanti Eka Ganda Winata , I Putu Eka Putri Rahayu Eko Nursalim Elda Nazriati Elfira Makmur Elimartati Elimartati Elma Rida Yanti Elvira Sukma Wahyuni Emilda Amini Enrico Alamo Erika Maulina Ervia Toga Erwandi Mohamad Haron, Didi Erwina Oktavianty Ery Safrianti Fadila Haerunnisa, Nurul Fadilla Malik, Topan Fadlan Hawari Fachrully Fahmi, Merdila Nuril Fahreza, Irvan Fahrulriza, Teuku Fajariyanto, Eko Fakhrurrazi Fathiyah Idris Fatma Fausiah Latif Fazilatunnisa, Azwa Febby Kesumaningtyas Felycitae Ekalaya Appa Fenita Tanjung Maharani Feranita Firman Firmanto, Taufik Fitriani, Namiyah FITRIANTI Fitriyani Fri Murdiya, Fri Fuadi, Mhd Yusral Gemala Jondya, Aisha Genius Umar Ghaly Risyadi GHANY, ABDUL Gihon Nakata Silaen Guslendra Habas Addawy, Rauzan Habibulloh Hadaming, Hamdana Haerudin Hafid, Fathurrahman Halim, Desty Vitrya Halimah Basri Hamdani Hamdani, Eddy Hamriyani Ryka Hamzah, Ekawati Hanalde Andre HANDAYANI Haratua Tiur Maria Silitonga Harianto, Jakoep Ezra Harifuddin Harmiati Hartono Hartono Hasrawati Hati, Hikmah Hayat, Misbahul Heldy Febryanto Hellen Thesta Fanessia Hengki Firmanda Heris Santy, Wesiana Herlinawati HERMAWAN Hermawan Hermawan Hidaayah, Nur Hidayat , Syukriadi Hidayatullah, M. Musa S. Hilda Ashari Hilda Delavari HS, Muhammad Alwi Husni Hidayat Ida Fujari Ifada, M.Zakian Iin Darmiyati Ilham Eka Putra Ilham, Fadli Imam Fakhruddin Imam Suri Tauladan Imron Ghozali Imrona Hayati Indriyanti Ipan Sampe Irfan Wahyu Ramadhan Iriana Bakti Irmawan, Muhammad Ishyang, Ishyang Isjoni Isjoni Iskandar Abdul Samad Islami, Anggun Isniatun Munawaroh Iswani, Resti Jaffar, Mohammad Najib Jahrizal Jalil, Feranita Jamaludin, Muhamad Jan Friadi Sinaga Jatmiko, Muhamad Roby Johannes Joko Wiyono Judyanto Sirait Jumadi Mabe Parenreng Jumria Junaidi Junaidi Kalalinggi, Septaria Yolan Karnila Willard Kartika Choriah Kasman Kasmidin Kazuba, Mahfudz Krisnawati, Dyah Ika Kunaenih Kurniawan, Anggy Tias La Ode Asrun Azis R Laili Tri Lestari Lanang Maulana Aminullah Leonardo Valinka Lifwarda Lifwarda Lilik Pranata Linna Oktaviana Sari Lucky Heriyanti Jufri, Lucky Heriyanti Lusiana, Herlina Lusiana, Herlina Luthfiyah Atisa Fadhilah Lu’lu’ Il Qolbie M A Jati Purnomo M Subagus M. Afuan M. Fadillah Al Hidayah M. Halim, M. M. Haris M. Nur Mukmin M., M. Ghalib M., Taufik M.Yoghi Satria Maharani, Dwi Sinta Maharani, Masayu Nadila Mahmud Hibatul Wafi Maladewi, Nur Malik, Muhammad Hisyam Malini, Regina Septient Mardhiah Masril Mardhiah Masril Marfalino, Hari Marhadi Efendi Marpaung, Mario Johannes Marwan Kamaruddin Masril, Mardiah Maulana, Tarmizi Mawardi Mayangsari, Yayu Rahmawati Mayhilda Nitami Mega Fatimah Rosana Mery Susantri Mery Susantri Meydy Fauziridwan Mhd. Hanafi Michelle Rafael Waw Mila Wati Milaningrum, Kartika Mileni Wahidah Mili, Marwan Zam Mira Afrina Mirwan Mochamad Yogi Febriansyah Mochammad Imron Awalludin Mohammad Lutfi Mohammad Munib Rosadi Mona Novita Muarif Mufti Hasan Alfani Muh. Ikbal, Muh. Muh. Yunus Ali Muh. Yusuf Mappeasse Muhamad Ajrin Muhamad Anggun Novembra Muhammad Muhammad Adly Muhammad Arfan Wijaya, S Muhammad Arif Muhammad Fachrurrozi Muhammad Naufal Rachmatullah Muhammad Rahmat Muhammad Syahdan Fachrurrozy Muhammad Taufiq Muhammad Vijaya Waluddin Muhammad Zulfahmi Mujahidah MUKAROMAH, LUTFAH Mukromin Mulia Akbar Santoso Mulia Suryani Muliardi Muliaty Amin Mulyadin Mulyati, Ely Mumaddun Khaerudin Salami Muntohar Murdifin Mursal Mursanto Musda Asmara Musdalifah Mustafa, Fahrina MUSYAFFA RIFQI HARIMARDIKA Mutakarikah Mutiara Rengganis Muzaka, Maimun Nabil Alfan Moh Nabila Adhelia Maulidha Nabila Sabrina Nadawiyah, Rabiatul Nadia Nadia Fitri Santika Nadiah Nahya Fadillah NAILATUR ROHMAH Naim Sulaiman Nasokah Nasriman Nasrul Nasrullah Nazmi, Annisa Nur Nelvidawati Nijusiho Manik Ningsih, Apriyana Nisa Agustin Pratiwi Pelu Nisfe Jehan Apriani Niti Lestari Noer Farakhin Nofriadiman Nofrohu Retongga Noor Aziz, Noor Nopan, Khadijah Putri Nori Sahrun, Nori Nunuk Hariani Soekamto Nur Ainiyah Nur Ainiyah Nur Azisa Nur Azizah Nur Hidayah Nur Mutmainnah Nurdiana A Nurfaisal Nurhalim Nurhawaisyah, Sitti Ratmi Nurhayani Nurhayati Nurhikmah Nurliah Jafar, Nurliah Nurlindah Nurul Hasanah Nurul Hidayati Oman Sukmana Onu La Ola, Onu Ovriyadin Pamungkas Stiya Mulyani Panca Setyo Prihatin Pardede, Tumpal Parninsih, Iin Patiung, Seventry Meliana PATIYUS AGUSTIANSYAH, PATIYUS Penny Naluria Utami, Penny Naluria Perani Rosyani Permana, Yudi Piliana, Wa Ode Pipin Novrianti Pratama Bagus Restu.S Pratama, Amia Pratama, Apriliyanus Rakhmadi Pratama, Novrian Pratiwi, Tasyah Prayitno, Rangga Purboyo, Purboyo Purwati, Heri Putra , Rio Andika Putra Dempo, Agung Anugra Putra Hanafi, Beni Putra, Ondara Eka Putra, Yulizain Putri Dhiya Putri Dwi Wisudawati Sormin Putri Faisal, Sri Afriani Putri Wijaya, Nurhikmah Putri, Dini Firdiana Putri, Rahmadaniar Aditya Rabwan Satriawan Radi Ahnaf Prayogi Ragil Putri Fitriyanti Rahayu Anggraini Rahim, Radiyan Rahmad Hendra Rahmadaniar Rahmadaniar Aditya Putri Rahmadi Bagus Wijaya Rahmat Hidayat Rahmat Oriza Rahmi , Riri Rahmi, Riri Raihan Hidayatullah Rama, Rama Wijaya Ramadhan, Ilfan Prabu ramadoan, syahri Ramiati Ramya Rachmawati Ratna Widayati Rauzan Habas Addawy Rayna Kartika, Rayna Regina Adelisa Rego, Dipalpa Retna Gumilang Retno Diah Putri Ekayanti Reynaldy Julio Ricy Firnando Rika Lestari Riki Sukiandra Rikki Vitria Rina Novi Yani Rina Shahriyani Shahrullah Risfa Fadila Riska Fauziah Hayati Riski Meilani Risna Ritna Wahyuni Riza Aprillia Rizkiani, Erdina Wira Robert Cenedy Rohim , Faidhur Rohima Sera Afifah Roslyn Rosma, Iswadi Hasyim Rosmawati RR. Ella Evrita Hestiandari rudiyanto Rudy Fernandez Ruri Hartika Zain Rus Yandi Ruslan Rusmiyatun Rusmiyatun Sa'idah, Nur Saadah, Chuzaimatus saadudin Sabir, Achmad Safrina, Eka Sagaf S. Pettalongi Sahri Ramadana Sakinah Salahudin Salahudin Samariadi, Samariadi Samintang Santi Sapitri, Ade Iriani Saputra Yadnya , Komang Saputra, Billy Yanis Saputra, Haris Tri Saputra, Ksatria Sari, Ririn Purnama Sarifah Putri Raflesia, Sarifah Putri Sarti Rahayu Sastradinata, Irawan Sattu Alang Selvi Imelda Septri Damayanti Setia Ningsih Setya Nugroho , Florantia Shabrina Syntha Dewi Shaliha, Mar'ah Siar Nimah Sidrah Afriani Rachman Sidrah Afriani Rachman, Sidrah Afriani Sintia Putri Pangestu Sisdarmanto Adinandra, Sisdarmanto Siska Yosmar Siswahyudianto Siti Asyitah Siti Justianti Muhajriyah Siti Nurmaini Sitti Jauhar Sitti Rahmi Sofyan Soleha, Umdatus Soraya Sri Bulkia Sri Konsep Harum Wicaksono Sri Wahyuni SRI WULANDARI Sriyanto St. Haniah Stepanus Sahala Sitompul Stepanus Sahala Sitompuls Suci Dwi Lestari Sudarto Suharti Sujono Sukari Sukemi Sukma Wahyuni , Elvira Sulardi . Sulastri Caniago Sulfian, A. Sultan Sultana, Beenish Sulvahrul Amin Supriyadi, Andi Surmayanti Surya, Leny Sang SUTRISNO Suwadi Suwitno Suyanto Syaflin Halim Syamsul Rijal Syamsuri, Andi Santri Syamsurijal Syamsurizal Syiddatul Buduri Syprianus Aristeus, Syprianus Taufikurahman Taufiqurrahman Teguh Sujana Teguh Wicaksono Tengku Mega Rahmadini Tiara Aninditha Tikson, Shinta Dewi Sugiharti Tomo Djudin Topan Fadilla Malik Trian Pamungkas Alamsyah, Trian Pamungkas Try Hadyanto Tryana Nur Rahmadani TW, Fredy Rendra Ulfa Kusnia Uliana, Rafika Umar Uzhelia, Viorryn Aisha Uzma Septima Vina Salviana Darvina Soedarwo Vivi Elvira Sahputri Syah Wahab Wahda Wahyu Andriansyah Wahyudi, Andi Ardhila Wahyuni, Wiani Wakila, Muhammad Hardin Warman, Arifki Budia Wawan Darmawan Widiningsih , Dewi Widya Puspita Sari Winarto Winarto Windy Permata Suyono Wiraagni, Idha Arfianti Wulandari, Anggelina Wusiat Yudhistira Pradhipta Aryoko Yudiaryono Yudistira, Jastin Yulis Hamidy Yunisrina Q. Yusuf Yuri Pratiwi Utami Zahroh, Chilyatiz Zainal Azwar Zakiah Zein, Ruri Hartika Zerri Rahman Hakim Zulfikar Jayakusuma Zulharman Zurnawita Zuwanda, Rifka