Garuda - Garba Rujukan Digital

p-Index From 2021 - 2026

1.683

P-Index

This Author published in this journals

All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) Alhadharah: Jurnal Ilmu Dakwah SYAMIL: Jurnal Pendidikan Agama Islam (Journal of Islamic Education) Al-I´lam: Jurnal Komunikasi dan Penyiaran Islam Jurnal Teknimedia: Teknologi Informasi dan Multimedia Tarbiyatuna: Jurnal Pendidikan Ilmiah Alhiwar: Jurnal Ilmu dan Teknik Dakwah Bayan lin-Naas : Jurnal Dakwah Islam Indonesian Journal of Islamic Communication

Surya Eka Priyatna

Universitas Islam Negeri Antasari Banjarmasin

Author-ID : 2599140

Religion Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

Published : 14 Documents Claim Missing Document

Claim Missing Document

Articles

1 2

Pemanfaatan MOODLE pada Pembelajaran Online Mata Kuliah Aplikasi Komputer Mahasiswa Fakultas Dakwah dan Komunikasi IAIN Antasari Priyatna, Surya Eka
Alhadharah: Jurnal Ilmu Dakwah Vol 13, No 26 (2014)
Publisher : UIN Antasari Banjarmasin

Efficiency and effectiveness in the lecture now is the demand that must be met. It is directly proportional to the advancement of technology growing so rapidly. With the construction of the Internet network infrastructure on Puskom IAIN Antasari then it is possible to use the internet for the development of effective learning methods to students. The research was conducted on students of the Faculty of Dawa and Communication IAIN Antasari Banjarmasin. In the Computer Applications course, in addition to running the course face to face, as a companion also held online learning using Moodle as an application Learning Management System (LMS).

Pendekatan E-Learning sebagai Media Dakwah Islam Priyatna, Surya Eka
Alhadharah: Jurnal Ilmu Dakwah Vol 11, No 22 (2012)
Publisher : UIN Antasari Banjarmasin

Objective approach to e-learning as a medium for Islamic dakwah is to provide an alternative method of dakwah with a wider coverage area and update rapid delivery of content. Dakwah by e-learning media should have the maturity level of a good design of overall message to achieve global success. Dakwah material as the main content should touch the daily life problems faced by the community, and offer solution based on the guidance and instruction of Islam

Pendekatan Realita Perkuliahan Pada Media Online Priyatna, Surya Eka
Alhadharah: Jurnal Ilmu Dakwah Vol 15, No 30 (2016): Alhadharah: Jurnal Ilmu Dakwah
Publisher : UIN Antasari Banjarmasin

In fact, the conventional method is still widely used in the lecture. The lecture method is one of the most popular among lecturers. This method is still regarded as an effective method for delivery of material to the students. The development of online learning provide a positive contribution to the development of learning methods. To achieve optimal lecture, then searched the conventional lecture approach reality in online media.Â Pada kenyataannya metode konvensional dalam perkuliahan masih sering digunakan. Metode ceramah merupakan salah satu yang paling populer di kalangan dosen. Metode ini masih dipandang sebagai metode yang efektif untuk penyampaian materi kepada mahasiswa. Berkembangnya pembelajaran online memberikan kontribusi yang positif pada perkembangan metode pembelajaran. Untuk mencapai tujuan perkuliahan yang optimal, maka dicari pendekatan realita perkuliahan konvensional pada media online.

Pemanfaatan Fasilitas Google dalam Perkuliahan di Fakultas Dakwah Surya Eka Priyatna
Al-Hiwar : Jurnal Ilmu dan Teknik Dakwah Vol 4, No 1 (2016): Januari-Juni
Publisher : UIN Antasari Banjarmasin

In the course we are familiar with the Internet network facilities. Of course also familiar with the Google search engine. But we rarely use the other facilities there, which turned out to be very helpful in learning activities. Company Google intelligently integrates most of the processing functions of administrative data in applications, such as mail, drive, document, spreadsheet, slide and form. Such products can we maximize the efficiency and effectiveness of lectures. Pada perkuliahan kita sudah familiar dengan fasilitas jaringan internet. Sudah tentu juga familiar dengan mesin pencari google. Tetapi kita jarang menggunakan fasilitas-fasilitas lainnya yang ada, yang ternyata sangat membantu dalam kegiatan perkuliahan. Perusahaan Google dengan cerdas mengintegrasikan sebagian besar fungsi-fungsi pengolahan data administratif dalam aplikasinya, seperti mail, drive, document, spreadsheet, slide dan form. Produk-produk tersebut dapat kita maksimalkan untuk efisiensi dan efektifitas perkuliahan.

Classification of tea leaf disease using convolutional neural network approach Hairah, Ummul; Septiarini, Anindita; Puspitasari, Novianti; Tejawati, Andi; Hamdani, Hamdani; Eka Priyatna, Surya
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 3: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i3.pp3287-3294

Leaf diseases on tea plants affect the quality of tea. This issue must be overcome since preparing tea drinks requires high-quality tea leaves. Various automatic models for identifying disease in tea leaves have been developed; however, their performance is typically low since the extracted features are not selective enough. This work presents a classification model for tea leaf disease that distinguishes six leaf classes: algal spot, brown, blight, grey blight, helopeltis, red spot, and healthy. Deep learning using a convolutional neural network (CNN) builds an effective model for detecting tea leaf illness. The Kaggle public dataset contains 5,980 tea leaf images on a white background. Pre-processing was performed to reduce computing time, which involved shrinking and normalizing the image prior to augmentation. Augmentation techniques included rotation, shear, flip horizontal, and flip vertical. The CNN model was used to classify tea leaf disease using the MobileNetV2 backbone, Adam optimizer, and rectified linear unit (ReLU) activation function with 224×224 input data. The proposed model attained the highest performance, as evidenced by the accuracy value 0.9455.

MENYINERGIKAN TRADISI DAN TEKNOLOGI: OPTIMALISASI METODE SOROGAN DAN BANDONGAN DI PESANTREN SALAFIYAH MELALUI MEDIA PEMBELAJARAN DIGITAL Priyatna, Surya Eka; ZA, Ali Muammar; Barni, Mahyuddin
Bayan lin-Naas : Jurnal Dakwah Islam Vol 8, No 2 (2024)
Publisher : Fakultas Dakwah Institut Dirosat Islamiyah Al-Amien Prenduan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28944/bayanlin-naas.v8i2.1927

Pendidikan di pesantren salafiyah memiliki akar yang kuat dalam metode tradisional seperti sorogan dan bandongan, yang telah lama menjadi ciri khas dalam sistem pembelajaran di pesantren. Namun, perkembangan teknologi digital di era modern menghadirkan tantangan sekaligus peluang untuk mengoptimalkan metode-metode tersebut tanpa menghilangkan esensi tradisi. Artikel ini bertujuan untuk mengidentifikasi potensi sinergi antara metode pembelajaran tradisional dan teknologi digital, serta mengembangkan strategi optimalisasi yang efektif. Dengan menggunakan pendekatan kualitatif dan metode studi kasus, data dikumpulkan melalui wawancara dengan pengelola pesantren, kyai, ustaz, dan santri, serta observasi langsung di lapangan. Hasil penelitian menunjukkan bahwa teknologi digital, seperti video pembelajaran, e-kitab, dan forum daring, dapat mendukung metode sorogan dan bandongan dengan meningkatkan aksesibilitas dan kualitas pembelajaran. Meski demikian, implementasinya dihadapkan pada beberapa tantangan teknis dan non-teknis, termasuk infrastruktur, resistensi budaya, dan keterampilan teknologi. Artikel ini menyarankan pengembangan platform pembelajaran digital yang sesuai dengan konteks pesantren, pelatihanguru dan santri, serta desain kurikulum hibrida yang mengintegrasikan tradisi dengan teknologi.

Image analysis for classifying coffee bean quality using a multi-feature and machine learning approach Septiarini, Anindita; Hamdani, Hamdani; Ery Burhandeny, Aji; Nurcahyono, Damar; Eka Priyatna, Surya
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i4.pp4241-4248

Price and customer satisfaction depend on coffee bean quality. The coffee industry must analyze coffee bean quality. Global demand for robusta coffee is high. Coffee industry professionals mostly understand coffee bean quality. Thus, an image analysis using a computer vision-based approach for classifying robusta coffee bean quality is required. Image acquisition, region of interest (ROI) detection, pre-processing, segmentation, feature extraction, feature selection, and classification are covered in this study. A multi-feature derived based on color, shape, and texture features was employed in feature extraction, followed by feature selection using principal component analysis (PCA). Several machine-learning methods classified the coffee beans. The method performance was assessed using precision, recall, and accuracy. The selected features using the backpropagation neural network (BPNN) classifier outperformed others with 98.54% accuracy.

Implementing Online Learning Strategies to Strengthen Motivation and Independence Among Students in the Digital Era Priyatna, Surya Eka; Ilham, Ilham; Hasanah, Risqiatul
SYAMIL: Journal of Islamic Education Vol 12 No 1 (2024): SYAMIL: Journal of Islamic Education
Publisher : Pascasarjana Universitas Islam Negeri Sultan Aji Muhammad Idris Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21093/sy.v12i1.9789

Online learning has become an essential paradigm in the digital era, particularly in responding to the shifting educational landscape. However, challenges related to student motivation and independence persist, often impacting learning outcomes and engagement. This research aims to explore the implementation of strategic online learning methods to enhance motivation and independence among students, particularly in higher education settings. Using a mixed-method approach, this study combines qualitative interviews with quantitative surveys to analyze the factors influencing student engagement. Data were collected from undergraduate students at UIN Antasari, focusing on their experiences and perceptions of online learning strategies during the pandemic. The findings reveal that well-structured online learning strategies, including the integration of flexible scheduling, interactive tools, and self-directed learning modules, significantly enhance students' motivation and independence. This study contributes to the existing body of knowledge by highlighting the potential of online learning strategies to bridge gaps in traditional education, fostering not only academic success but also personal growth. The insights gained are expected to inform educators, policymakers, and institutions in designing more effective and inclusive online learning environments, particularly within the framework of Islamic education.

Religious Moderation as the Pillar of Islamic Education: A Cross-Disciplinary Approach for the Global Era Priyatna, Surya Eka; Fidzi, Ridhahani; Sabda, Syaifuddin; Yaqin, Husnul
Al-I'lam: Jurnal Komunikasi dan Penyiaran Islam Vol 8, No 2 (2025): Maret 2025
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jail.v8i2.30323

Abstrak: Moderasi beragama menjadi fondasi penting dalam pendidikan Islam, khususnya dalam menghadapi tantangan era global yang ditandai oleh meningkatnya intoleransi dan konflik antarbudaya. Artikel ini mengeksplorasi konsep moderasi beragama sebagai pilar pendidikan Islam melalui pendekatan lintas disiplin, mencakup perspektif multi-, inter-, dan transdisipliner. Metode kajian literatur digunakan untuk menganalisis nilai-nilai moderasi beragama seperti tawazun, tasamuh, dan i’tidal, serta penerapannya dalam kurikulum pendidikan Islam. Hasil penelitian menunjukkan bahwa pendekatan lintas disiplin tidak hanya memperkaya pembelajaran, tetapi juga memperkuat integrasi nilai-nilai keislaman dengan kebutuhan global. Strategi penguatan moderasi beragama melalui pendidikan melibatkan pengembangan kurikulum berbasis nilai, metode pembelajaran dialogis, serta kolaborasi antar pihak terkait. Dengan pendekatan ini, pendidikan Islam diharapkan mampu mencetak generasi yang toleran, inklusif, dan berkontribusi dalam membangun harmoni global. Abstract: Religious moderation serves as a vital foundation in Islamic education, especially in addressing the challenges of the global era marked by increasing intolerance and intercultural conflicts. This article explores the concept of religious moderation as a pillar of Islamic education through a multidisciplinary, interdisciplinary, and transdisciplinary approach. A literature review method is employed to analyze the values of religious moderation, such as balance (tawazun), tolerance (tasamuh), and justice (i’tidal), as well as their application in Islamic educational curricula. The findings reveal that a cross-disciplinary approach not only enriches learning experiences but also strengthens the integration of Islamic values with global demands. Strategies to enhance religious moderation in education include value-based curriculum development, dialogical teaching methods, and collaboration among relevant stakeholders. With this approach, Islamic education is expected to produce generations that are tolerant, inclusive, and capable of contributing to global harmony.

Penerapan AI dan Machine Learning dalam Pendidikan Islam: Tantangan Etika dan Pendekatan Integratif Berbasis Maqāṣid Al-Syarī‘ah Priyatna, Surya Eka; Maseri, Ani Cahyadi
Tarbiyatuna: Jurnal Pendidikan Ilmiah Vol 10 No 1 (2025): Januari-Juni
Publisher : Sekolah Tinggi Ilmu Tarbiyah Ibnu Sina Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55187/tarjpi.v10i1.6236

Transformasi digital dalam pendidikan membuka peluang strategis bagi penerapan Artificial Intelligence (AI) dan Machine Learning, yang kini mulai diintegrasikan secara nyata dalam pengembangan sistem dan proses pembelajaran di lingkungan pendidikan Islam. Artikel ini bertujuan untuk mengkaji secara mendalam penerapan Artificial Intelligence (AI) dan Machine Learning dalam pembelajaran Islam, dengan fokus pada identifikasi tantangan etika serta perumusan strategi integratif berbasis nilai-nilai maqāṣid al-sharī‘ah dan prinsip wasathiyyah dalam pengembangan sistem teknologi digital pendidikan. AI terbukti mampu meningkatkan personalisasi pembelajaran, efisiensi administrasi, dan aksesibilitas materi keagamaan yang luas. Namun, adopsi teknologi ini juga memunculkan berbagai dilema etis, seperti privasi data, bias algoritmik, serta potensi tergesernya peran guru sebagai pendidik utama. Dengan pendekatan teoritis berbasis Wasathiyyah dan kerangka etika Islam, artikel ini menyusun kerangka evaluatif terhadap implementasi AI agar tetap sejalan dengan nilai-nilai keislaman dan pembentukan karakter spiritual siswa. Penelitian ini menggunakan pendekatan kualitatif-deskriptif melalui studi pustaka terhadap literatur ilmiah terverifikasi yang membahas integrasi Artificial Intelligence (AI) dalam pendidikan Islam, guna mengkaji konsep, manfaat, tantangan, serta dimensi etika dan spiritualnya.

Co-Authors Anindita Septiarini, Anindita Dina Hermina Ery Burhandeny, Aji Fidzi, Ridhahani Hairah, Ummul Hamdani Hamdani Hasanah, Risqiatul Hashim Fadzil Ariffin Husnul Yaqin Ilham . Ilham Ilham Irfan Noor M. Iqbal Mahyuddin Barni, Mahyuddin Maseri, Ani Cahyadi Nurcahyono, Damar Nuril Huda Puspitasari, Novianti Ridha Fadillah Risqiatul Hasanah Sabda, Syaifuddin Tejawati, Andi ZA, Ali Muammar

Title

Found 14 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 14 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 14 Documents
Search