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All Journal Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Diponegoro Journal of Management Jurnal Ilmiah Mahasiswa FEB EKONOBIS (JURNAL EKONOMI DAN BISNIS) Erudio: Journal of Educational Innovation Jurnal Dimensi JURNAL KEPEMIMPINAN DAN PENGURUSAN SEKOLAH EDUFORTECH Jurnal Hukum Magnum Opus Jurnal Sosial Humaniora Sigli Management Studies and Entrepreneurship Journal (MSEJ) Jurnal Abdi Insani PUBLIKASI PENELITIAN TERAPAN DAN KEBIJAKAN Journal of Digital Marketing and Halal Industry Journal of Intelligent Computing and Health Informatics (JICHI) Jurnal Teknik Informatika (JUTIF) Elastisitas Jurnal Ekonomi Pembangunan Jernih : Jurnal Tugas Akhir Mahasiswa Tafkir: Interdisciplinary Journal of Islamic Education JIKEM: Jurnal Ilmu Komputer, Ekonomi dan Manajemen Jurnal Ilmu Ekonomi Journal of Health Community Service JURNAL ELEKTRO DAN INFORMATIKA SWADHARMA (JEIS) Collegium Studiosum Journal Bureaucracy Journal : Indonesia Journal of Law and Social-Political Governance Jurnal Puan Indonesia Jurnal Pengabdian Inovasi dan Teknologi Kepada Masyarakat Jurnal Ekonomika Dan Bisnis Jurnal Manajemen, Organisasi, Dan Bisnis Malcom: Indonesian Journal of Machine Learning and Computer Science SUARGA : Studi Keberagamaan dan Keberagaman Jurnal Konstanta : Ekonomi Pembangunan Eduvest - Journal of Universal Studies Jurnal Pengabdian Masyarakat Bangsa Jurnal Oportunitas : Ekonomi Pembangunan Coastal and Marine Journal Welfare State Jurnal Hukum Jurnal Paramaedutama Jurnal Pengabdian Masyarakat Linguapedia Jurnal Witana NuCSJo : Nusantara Community Service Journal JIMT: Jurnal Informatika, Multimedia dan Teknik Nusantara Computer and Design Review IJSS: International Journal of Social JILMATEKS Jurnal Ilmiah Mahasiswa Teknik Sipil
Muhammad Firmansyah, Muhammad
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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 Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Other

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Economic Feasibility of Traditional Market Development in The Archipelago Area On Sebuku Island, South Kalimantan Surti; Riswandha, Mohammad Adhiya; Abdi, Chairul; Firmansyah, Muhammad; Mazaya, Gusti Ihda
Jurnal Ilmu Ekonomi JIE Vol. 10 No. 01 (2026): Jurnal Ilmu Ekonomi
Publisher : Program Studi Ekonomi Pembangunan Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/jie.v10i01.43464

Abstract

This study analyzes the economic feasibility of Sebuku Market development through demand-side analysis in a disadvantaged archipelago region of South Kalimantan. Using a cross-sectional survey design with 262 respondents through stratified random sampling, the research employs multiple linear regression to identify spatial demand determinants. Results reveal exceptionally high public support (a 97% approval rate) and strong shopping interest (a mean score of 4.52/5.0). The regression model demonstrates excellent explanatory power (R² = 0.717, F = 71.342, p < 0.001), with seven market attributes and two control variables significantly influencing demand. Product quality exhibits the highest elasticity (β=0.243), followed by service quality (β=0.221), price affordability (β=0.198), and physical infrastructure (β=0.189). The distance variable shows negative elasticity (β = -0.112), confirming the presence of spatial constraints. Economic projections indicate annual turnover of Rp60 billion, aggregate income multiplier effect of Rp16.3 billion/year, and benefit-cost ratio of 1.63 in year one. The study validates market infrastructure as an effective growth pole for inclusive regional development, providing evidence-based policy recommendations to optimize investment in archipelagic contexts.
Robust Few Shot Biological Pathology Classification via Optimized Contrastive MobileNetV2: A Transferable Model for Low Resource Medical Imaging Prawira, Nurul Adi; Firmansyah, Muhammad; Marutho, Dhendra; Ouhab, Achraf; Ilham, Ahmad
Journal of Intelligent Computing & Health Informatics Vol 7, No 1 (2026): Article In Press
Publisher : Universitas Muhammadiyah Semarang Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jichi.v7i1.20179

Abstract

Artificial intelligence has revolutionized computational diagnostics, however deploying reliable intelligent systems in extreme low-resource environments remains a critical structural challenge in health informatics. Conventional deep learning architectures, such as standard Convolutional Neural Networks (CNNs), are inherently data-hungry, making them prone to severe overfitting and catastrophic generalization failures when applied to rare biological pathologies. To overcome this limitation, we propose an Optimized Contrastive MobileNetV2 architecture embedded within a Few-Shot Learning (FSL) framework. By mathematically modifying the latent space representation using a contrastive loss function, the proposed model learns discriminative metric distances rather than relying on massive raw feature memorization. To rigorously validate the algorithm, we utilize a highly constrained dataset comprising merely 120 biological pathogen samples as a cross-domain proxy testbed, accurately simulating the extreme visual complexity and data scarcity typical of rare medical diagnostic scenarios. Extensive episodic evaluations demonstrate that the proposed methodology significantly outperforms conventional baselines. Under a 10-shot learning paradigm, the contrastive architecture achieved a macro-averaged accuracy of 89.2% and an F1-Score of 89.3%, remaining statistically robust against stochastic variations (p < 0.001). Furthermore, the integration of depthwise separable convolutions restricts the model complexity to approximately 3.4 × 10^6 parameters. Crucially, empirical evaluations confirm that this framework occupies merely 13.5 MB of physical storage and achieves an ultra-low inference latency of 12.5 ms per image. Ultimately, this study establishes a highly transferable, computationally efficient algorithmic model ready for seamless integration into intelligent clinical decision support systems and remote edge-computing health architectures.
Co-Authors A, Oky Yudi Abdurrahman, Muhammad Farhan Abiyah, Indra Adib Achmad, Amsakar Adhitya Bagus Singandaru Adibrata, Sudirman Ainul Yaqin Ali Rahman Alpino Susanto, Alpino Amri Gunasti Amrillah Andika Andika Andika, Sri Apriani, Isna Apriyandi, Putra Arif Maulana, Arif Arif Rahman Hakim Aslimah, Aslimah Aulia, Nur Afti Az Zahra, Alifia Azizah, Nur Jannah Bagus, Wahyu Bahrudin, Nugi Bhaskara, Renaldi Surya Budi Setiawan, Arip Catur Fatchu Ukhriyawati Chairul Abdi Claudia, Ferby Dhendra Marutho Dyo Arga Nata, Muhamad EMI SALMAH Eri Sasmita Susanto Ervin Nora Susanti, Ervin Nora Farizki, Daniel Achmad Fikri, Sultoni Firdausy, Muhammad Abrar Firmansyah, Esa Frans Simangunsong Gandhi Sutjahjo Guchy, Restia Octane Gunawan, Bambang Ady Gusti Ihda Mazaya, Gusti Ihda Hadi, Moch. Aminuddin Haq, Ahmad Khoir Al Hari Astuti, Henik hartanto hartanto Hendarti, Hendarti Herdinov, Adam Hidayat, Ali Akbar Hidayat, Lutfi Alvian Hikmawati, Inayah Himawan Sutanto, Himawan Ika Kartika Ilham, Ahmad Imroatul Khasanah Irhash, Irhash Irwan Irwan Ismaili, Ismaili Iwan Harsono Jati, Dian Rahayu Karim, M. Ainul KARISMAWAN, PUTU Khairunisa, Assavira Kusdiyanti, Erma L, Adinda Fitriyah Laily Purnamasari, Dewi Lubis, Almatia Efendi M. Irwan M. Irwan, M. Irwan Mahmudi, Hadi Maria, Linda Masrun Masrun masrun Maulana Al Aby, Theo Mauliddin, Rizky Akbar Maulidia, Vera Mizwar, Andi Mochammad Machlul Alamin MUAIDY YASIN, MUAIDY Muftiadi, M. Rizza Muhammad Agreindra Helmiawan Muhammad Alqadri Burga Muhammad Aria Wahyudi Muhammad Iqbal Muhammad Sri Wahyudi Suliswanto Muin, Suriati Abd Musyoliha, Tuti Muzakar, Muzakar Nabela, Nabela Nabilat En Najla, Aura Nasir Hamzah Nasrul, Herni Widiyah Nilawati, Indah Nirtha Nofitasari, Solehati Nopi Stiyati Prihatini Nova, Kiky Rizky Nugraha, Nanda Nugraha, Thomas Fajar Nur Fahruqi, M. Nur Tjendani, Endah Nur, Alqadri Nuraulia, Nasyah Nurul Hasanah Octavia, Azella Nosih Ouhab, Achraf Paramita Sari, Paramita Paratama, Faradillah Perangin-angin, Robet Prabowo, Ien Yus Rizal Pramesti, Adelia Widya Prawira, Nurul Adi Prayitno Basuki, Prayitno Purnama, Isnan Purwanti, Irna Putra, Surya Dwi Putri, Megawati Listyana Qurrotul Aini Rahman, Ali Rasyidin, Mukhammad Hafid Rianto, Yan Ridwan Afandi Rijal, Muhammad Nor Ripai, Muhamad Rishan Adha Riswandha, Mohammad Adhiya Riza Miftahul Khair Rizki Eka Putra, Rizki Eka Rizky Firdaus, Rizky Rizqi Puteri Mahyudin Rosdiana Rosdiana S, Raja Eko Dwi SABINA, VINA Sadiq, Ahmad Safitri, Nur Aprilia Sahri Sahri Sahri Sahrudin, Sahrudin Saputra, Irwansyah Sari, Nova Puspita Savira, Aora Septiyani, Santi Sikin, Muhamad Simamora, Andika Sri Langgeng Ratnasari St. Maryam, St. Subhan Purwadinata, Subhan Suhana Suhana Supardi, Sudarman Suphia, Suphia Suriani, Suci Surti, Surti T, Thoyyibah Tanjung , Yanto Titi Yuniarti, Titi Ul Walidaien, Syifa Ulfa, Yakut Nahdiana Ulumuddin, Mochammad Fatih Wahidin Wahidin Wahyuni , Hera Watono Widari, Baiq Widyanor, Julian Yahya, Helmi Yusuf, Maskur Zara Tania Rahmadi