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All Journal Indonesian Journal of Applied Informatics Jurnal PORKES Journal of Applied Accounting And Business (JAAB) Business and Investment Review Cognoscere: Jurnal Komunikasi dan Media Pendidikan VISA: Journal of Vision and Ideas
Samudra, Imam
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Public Health Social Sciences

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Tingkat Pengetahuan Atlet Gulat Popda Kabupaten Tanah Laut Terhadap Peraturan Pertandingan Gaya Bebas Terbaru Samudra, Imam; Anggara, Norma; Fauzan, Lazuardy Akbar
Jurnal Porkes Vol 8 No 2 (2025): PORKES
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/porkes.v8i2.31354

Abstract

The purpose of this study is to measure athletes' understanding of the latest regulations, so that the results can be useful for athletes in increasing their awareness of the importance of understanding regulations, for coaches as evaluation material for coaching, and for sports coaches as consideration in organizing more structured training on regulations. This research uses a quantitative descriptive method, which is an approach that focuses on the presentation and interpretation of an object according to its actual conditions without any data manipulation. The data collection technique uses a questionnaire. The sample in this study consisted of 16 freestyle wrestling athletes from Tanah Laut Regency participating in the 2025 POPDA. Based on the results of the study on the level of knowledge of the 2025 POPDA freestyle wrestling athletes from Tanah Laut Regency regarding the latest freestyle competition rules, it was found that most athletes had a good understanding. A total of 12 athletes (75%) were in the high knowledge category, indicating that the dissemination of information and training on the rules had been quite effective. However, there were still 2 athletes whose knowledge was classified as low (12.5%) and 2 athletes whose knowledge was very low (12.5%). The conclusion is that the level of knowledge of Tanah Laut Regency POPDA freestyle wrestling athletes regarding the latest freestyle regulations is good, with the majority of athletes falling into the high category.
Strategi Pemanfaatan Hasil Komoditas Pertanian terhadap Kemandirian Ekonomi Petani di Desa Margaluyu, Pangalengan, Kabupaten Bandung Dewantari, Ayu Puspita; Mahsa, Fadil Alvaro; Zaky, Ahmad; Abimanyu, Muhammad Dimas; Samudra, Imam; Salsabila, Dinda Aurellia; Mahar, Indana Zulfa; Amalia, Shandyaga Nurti
VISA: Journal of Vision and Ideas Vol. 5 No. 1 (2025): Journal of Vision and Ideas (VISA)
Publisher : IAI Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/visa.v5i1.6033

Abstract

This research explores agricultural commodity utilization strategies to improve farmer’s economic independence in Margaluyu Village, Pangalengan, Bandung. Despite having the potential to produce superior agricultural commodities such as pumpkins, potatoes, and chicory, farmers face challenges in optimizing these resources to achieve economic independence. This study identified barriers such as limited access to modern agricultural technology, fluctuating market prices, and lack of post-harvest processing facilities. Through descriptive qualitative analysis, the study examined current commodity utilization patterns, socio-economic factors, and provided recommendations to maximize the village's agricultural potential. The research emphasizes the importance of post-harvest innovation and diversification of agricultural products to increase income and support sustainable local economic growth. The findings suggest the importance of establishing local processing industries and encouraging collaboration between the government and private sector to improve community welfare and economic independence.
Bibliometric Analysis of Religious Communication in the Digital Age: Mapping the Scholarly Landscape from Mosque to Metaverse (2015-2024) Firmasari, Desi; Mukhlizar; Fitriani, Riri; Samudra, Imam; Pakpahan , Fransiskus Novrianto
Business and Investment Review Vol. 2 No. 4 (2024)
Publisher : CV. Lenggogeni Data Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61292/birev.225

Abstract

The 21st century's digital transformation is profoundly reshaping religious communication, migrating practices from physical spaces like mosques to digital and immersive environments. This study conducts a comprehensive bibliometric analysis to map the scholarly evolution of religious communication, specifically focusing on the transition from traditional settings to virtual reality (VR) and the Metaverse between 2015 and 2024. Using data from 565 Scopus-indexed publications, this research employs co-citation and bibliographic coupling analyses in VOSviewer to identify the field's intellectual structure and emerging research fronts. The findings reveal a diverse knowledge base, anchored in foundational theories like Bourdieu's social concepts and key technological frameworks from Augmented Reality (AR) to real-time spatial computing. Contemporary research clusters are converging around AI-driven intelligent systems and digital frameworks for heritage preservation. Despite this growth, the field is limited by a reliance on English-language, Open Access literature. The study concludes by proposing a multi-faceted future research agenda, urging exploration into the ethical integration of AI and IoT in religious practice, the development of faith-specific AR/VR frameworks, the establishment of religious UX principles, and the empirical measurement of "digital religious capital" within new algorithmic authority structures.
Algorithmic Authority and Public Trust: A Bibliometric Analysis of YouTube's Recommendation System in Shaping Islamic Religious Authority (2013-2023) Samudra, Imam; Laini , Zakiyyah Wardatul; Juni yanti; Amin, Syukri; Fransiskus Novrianto Pakpahan
Cognoscere: Jurnal Komunikasi dan Media Pendidikan Vol. 2 No. 3 (2024)
Publisher : CV. Lenggogeni Data Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61292/cognoscere.286

Abstract

This study provides a comprehensive bibliometric analysis of the scholarly discourse on algorithmic authority and public trust concerning YouTube's recommendation system in shaping Islamic religious authority (2013-2023). Analyzing 677 Scopus-indexed documents from China, Indonesia, and Taiwan, this research employs co-citation and bibliographic coupling analyses to map the field's intellectual structure. The findings reveal a robust knowledge base anchored in studies of Islamic reformism, post-Islamism, and contemporary religious authority, while current research fronts explore the interplay of inspirational content, source credibility, and misinformation. The co-citation analysis identified key thematic clusters, including "Algorithmic Preachers," "The Digital Reformation of Indonesian Islam," and "The Pluralization of Islamic Discourse," demonstrating the field's theoretical depth. However, the study acknowledges limitations, including database dependency and the potential for artificial thematic convergence in algorithmic clustering. The bibliographic coupling revealed integrative clusters merging commercial and public health perspectives on user engagement, highlighting both the field's interdisciplinary nature and its conceptual challenges. Future research agendas propose methodological innovations in Islamic-specific algorithm auditing, theoretical expansion through integrating Islamic epistemology with algorithm studies, and ethical governance frameworks based on maqasid al-shariah. This analysis concludes that algorithmic authority constitutes a significant, evolving force in contemporary Islamic religious landscapes, necessitating continued critical investigation to navigate its implications for religious trust, authority, and community in increasingly digitized Muslim societies.
Implementasi Laporan Keuangan dan Pajak Sederhana Berbasis Excel sebagai Upaya Peningkatan Efisiensi Administratif dan Kepatuhan Pajak UMKM Toko Bangunan Al Barkah Samudra, Imam; Eri Bestary Al Haitamy; Ivan Ramadhan
Journal of Applied Accounting And Business Vol. 8 No. 1 (2026): JAAB Juni 2026
Publisher : LP2M Politeknik Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37338/9qtcp190

Abstract

Studi ini menganalisis kondisi pencatatan keuangan dan pelaporan pajak di UMKM Toko Bahan Bangunan Al-Barkah dan mengevaluasi efektivitas sistem pelaporan keuangan dan pajak berbasis Microsoft Excel sederhana dalam meningkatkan efisiensi administrasi dan kepatuhan pajak. Dengan menggunakan pendekatan kualitatif deskriptif dengan data yang dikumpulkan melalui observasi, wawancara, dan dokumentasi, temuan menunjukkan bahwa sebelum implementasi sistem berbasis Excel, catatan keuangan dikelola secara manual dan tidak terstruktur, sehingga sulit untuk memantau kinerja keuangan dan menghitung kewajiban pajak secara akurat. Implementasi sistem berbasis Excel memungkinkan pencatatan transaksi yang lebih sistematis, penyusunan laporan keuangan sederhana, dan perhitungan pajak yang lebih akurat. Secara keseluruhan, penggunaan sistem ini memberikan kontribusi positif terhadap peningkatan efisiensi administrasi dan peningkatan kesiapan kepatuhan pajak di dalam UMKM.
Sistem Identifikasi Jenis Tumbuhan Mangrove Menggunakan Metode Convolutional Neural Network (CNN) Samudra, Imam; Rismawan, Tedy; Nirmala, Irma
IJAI (Indonesian Journal of Applied Informatics) Vol 10, No 1 (2025)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijai.v10i1.109260

Abstract

Abstrak : Mangrove merupakan tumbuhan pesisir yang berperan penting dalam menjaga keseimbangan ekosistem. Penelitian ini bertujuan membangun sistem identifikasi jenis tumbuhan mangrove berbasis citra daun dengan metode Convolutional Neural Network (CNN) untuk memudahkan dalam mengidentifikasi jenis mangrove. Dataset yang digunakan terdiri dari 810 citra daun mangrove, masing-masing 270 citra untuk tiga kelas: Acanthus Ilicifolius, Rhizophora Apiculata, dan Sonneratia Alba. Proses pelatihan model CNN dilakukan untuk mengenali pola dan karakteristik visual daun. Pengujian dilakukan menggunakan 81 data uji dengan dua skenario pengujian, yaitu tanpa menggunakan kamera Raspberry Pi dan dengan integrasi kamera Raspberry Pi. Hasil pengujian tanpa kamera Raspberry Pi mendapatkan akurasi 88%, sedangkan menggunakan kamera Raspberry Pi mencapai 96%. Peningkatan akurasi sebesar 8% membuktikan bahwa penerapan sistem pada perangkat keras Raspberry Pi mampu meningkatkan kinerja identifikasi. Selain itu, sistem dapat beroperasi secara portabel tanpa memerlukan koneksi internet, sehingga berpotensi untuk mengidentifikasi mangrove secara mudah di lapangan.=================================================Abstract : Mangroves are coastal plants that play an important role in maintaining ecosystem balance. This study aims to build a mangrove plant species identification system based on leaf images using the Convolutional Neural Network (CNN) method to facilitate the identification of mangrove species. The dataset used consists of 810 mangrove leaf images, 270 images each for three classes: Acanthus Ilicifolius, Rhizophora Apiculata, and Sonneratia Alba. The CNN model training process was carried out to recognize leaf patterns and visual characteristics. Testing was carried out using 81 test data with two test scenarios, namely without using a Raspberry Pi camera and with Raspberry Pi camera integration. The test results without a Raspberry Pi camera achieved 88% accuracy, while using a Raspberry Pi camera reached 96%. The 8% increase in accuracy proves that the implementation of the system on Raspberry Pi hardware is able to improve identification performance. In addition, the system can operate portable without requiring an internet connection, thus having the potential to easily identify mangroves in the field.
Co-Authors Abimanyu, Muhammad Dimas Ahmad Zaky, Ahmad Amalia, Shandyaga Nurti amin, syukri Anggara, Norma Dewantari, Ayu Puspita Eri Bestary Al Haitamy fauzan, lazuardy akbar Firmasari, Desi Fransiskus Novrianto Pakpahan Irma Nirmala Ivan Ramadhan Juni Yanti Laini , Zakiyyah Wardatul Mahar, Indana Zulfa Mahsa, Fadil Alvaro Mukhlizar Pakpahan , Fransiskus Novrianto Riri Fitriani Salsabila, Dinda Aurellia Tedy Rismawan