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All Journal POSITRON SEJ (Science Education Journal) Socius (Jurnal Pendidikan dan Pembelajaran Ilmu Pengetahuan Sosial) (Edisi Elektronik) Journal La Bisecoman Journal of Information System and Technology (JOINT) Jurnal Kolaboratif Sains Agripreneur : Jurnal Pertanian Agribisnis Inovasi Fisika Indonesia (IFI) Journal Research of Social Science, Economics, and Management PRIMER: Jurnal Ilmiah Multidisiplin Kajian Ilmiah Mahasiswa Administrasi Publik (KIMAP) Journal of Digitalization in Physics Education (JDPE) Journal of Current Studies in SDGs Journal of Current Studies in SDGs Journal of Law and Bibliometrics Studies Open Access DRIVERset Jurnal Ekonomi, Manajemen, Akuntansi dan Keuangan
Ramadani, Riski
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Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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E-Finansial dan Pemanfaatan Teknologi Blockchain Dalam Investasi Syariah Ramadani, Riski; Rangkuti, Monita; Rahmat, Paisal; Mardana, Yahya
Jurnal Ekonomi, Manajemen, Akuntansi dan Keuangan Vol. 7 No. 3 (2026): July
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/emak.v7i3.4049

Abstract

Perkembangan pesat teknologi digital telah mentransformasi sistem keuangan, termasuk dalam praktik investasi syariah melalui pemanfaatan layanan e-finansial dan teknologi blockchaink. Penelitian ini bertujuan untuk menganalisis peran e-finansial dan integrasi teknologi blockchain dalam mendukung investasi syariah, serta mengidentifikasi peluang dan tantangan yang dihadapi. Penelitian ini menggunakan pendekatan kualitatif dengan metode studi pustaka melalui analisis berbagai literatur ilmiah yang relevan. Hasil penelitian menunjukkan bahwa e-finansial meningkatkan aksesibilitas dan inklusi keuangan, sementara blockchain meningkatkan transparansi, efisiensi, dan keamanan transaksi yang sejalan dengan prinsip-prinsip syariah seperti keadilan, transparansi, serta larangan riba, gharar, dan maysir. Selain itu, inovasi seperti smart contract dan tokenisasi aset mempermudah pelaksanaan akad dan memperluas akses investasi bagi masyarakat. Namun demikian, implementasi teknologi ini masih menghadapi berbagai tantangan, termasuk keterbatasan regulasi, rendahnya literasi masyarakat, serta potensi risiko keamanan. Oleh karena itu, integrasi e-finansial dan blockchain memiliki potensi signifikan untuk mengembangkan ekosistem investasi syariah yang lebih modern, inklusif, dan terpercaya, dengan dukungan regulasi yang adaptif serta peningkatan literasi sebagai faktor kunci keberhasilannya.
SOCIAL & ECONOMIC POTTERY CRAFTS IN BAANYAN VILLAGE, SOUTH HULU SUNGAI REGENCY Ramadani, Riski
JURNAL SOCIUS Vol 15, No 1 (2026): JURNAL SOCIUS
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/js.v15i1.24863

Abstract

Traditional pottery crafts in Baanyan Village, South Hulu Sungai Regency, face various problems, such as the degradation of the swamp environment as a source of raw materials, weak regeneration of artisans, and marketing limitations that affect the sustainability of community businesses. This condition has implications for the decline in the social and economic carrying capacity of the traditional pottery industry in wetland areas. This study aims to describe the social and economic dynamics of pottery artisans and identify challenges and opportunities for the sustainability of the pottery industry in Baanyan Village. The research uses a descriptive qualitative method with data collection techniques through interviews, field observations, and documentation studies. The results of the study show that pottery production activities are highly dependent on the availability of clay from the swamp lebak ecosystem as the main raw material. The products produced include jars, atangs, and various decorative crafts. In addition to facing environmental challenges and the regeneration of artisans, the pottery industry is also constrained by a conventional marketing system. However, the use of digital technology and online-based marketing media provides new opportunities to expand market reach and improve business sustainability. This study concludes that the sustainability of the traditional pottery industry requires support for swamp environmental management, strengthening the regeneration of artisans, and optimizing digital marketing. The findings of this research are useful as a basis for the development of policies for the preservation of traditional crafts based on wetlands and the sustainable strengthening of the local community's economy.
Design Optimization of Rectangular Microstrip Antenna Using Deep Neural Network for 3 GHz Applications in Support of SDG 9 Ramadani, Riski; Nikmah, Afiyah; Rachmawati, Arum Vonie; Firdaus, Rohim Aminullah Firdaus; Ramadhani, Noer Risky
Journal of Current Studies in SDGs Vol. 2 No. 1 (2026): March
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jocsis.2.1.130

Abstract

Objective: This study aims to investigate the effectiveness of Deep Neural Networks (DNN) for optimizing the design of a rectangular microstrip antenna operating at a target frequency of 3 GHz. The research focuses on improving antenna design efficiency by predicting antenna performance parameters based on geometric characteristics. Method: The study employed a computational simulation approach combined with machine learning techniques. A synthetic dataset consisting of 6000 antenna configurations was generated using analytical microstrip antenna equations. The dataset included geometric parameters such as dielectric constant, substrate thickness, patch width, patch length, and inset feed position. A Deep Neural Network model was trained to predict resonant frequency, return loss, and input impedance. The trained model was then used as a surrogate model to evaluate 30,000 candidate antenna designs and identify the optimal configuration. Result: The proposed model achieved high predictive accuracy with values of 0.9987 for resonant frequency prediction and 0.9988 for input impedance prediction. The optimized antenna design produced a resonant frequency of 2.996 GHz, return loss of −18.70 dB, and input impedance of 53.95 Ω, which closely match the target specifications for S-band wireless applications. Novelty: The study demonstrates that Deep Neural Networks can significantly accelerate antenna design optimization by replacing repetitive electromagnetic simulations with data-driven prediction models.
Co-Authors Abdul Mahsyar Afiyah Nikmah Ahmadi, Muhammad Rey Dafa Albadri, Pama Bakri Alhusni , Hanan Zaki Alhusni, Hanan Zaki Amanda, Reni Binar Kurnia Prahani Fadhilah, Nisaul Firdaus , Rohim Aminullah Firdaus, Rohim Aminullah Firdaus, Rohim Aminullah Firdaus Gita Susanti, Gita Habibulloh, Muhammad Harahap, Sahrul Sorialom Islamiyah, Ahla Nurul Kasih, Poppy Anggara Khoiro, Muhimmatul Madlazim Madlazim Mardana, Yahya Mirsa, Fara Raditya Mitra Musika Lubis Munasir Nanang Winarno Nasution, Edi Marjan Nikmah, Afiyah Nst, Nabila Riski Nurisa, Nurisa Pulungan, Indah Wahyuni Purnamawati , Ratna Rachmawati, Arum Vonie Rahmat, Paisal Ramadhani, Noer Risky Rangkuti, Monita Rasdiana, Rasdiana Rika Fitri Ilvira Rizki, Iqbal Ainur Safika, Rida Saputri, Aulia Dwi TITIN SUNARTI Yantidewi, Meta Zumaedi, Mhd. Ariel