Universitas Islam Raden Rahmat (UNIRA) Malang: Journals
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Perbandingan Implementasi Pengelolaan dan Pemanfaatan Platform Digital dalam Model Penghimpunan Platform Digital dalam Model Penghimpunan Zakat, Infak, dan Sedekah (Respons Lembaga Sosial terhadap Peristiwa ACT)
Full text linkThis study aims to explore the utilization of digital platforms in the collection of zakat, infaq, and sadaqah (ZIS) by Yayasan Aksi Indonesia Dermawan and Lazismu Jawa Barat (Lazismu Jabar), as well as to analyse each institution’s strategies in addressing public trust challenges following cases of fund misuse by similar organizations. Employing a qualitative approach with a case study method, the research involved six key informants from both institutions. The findings reveal that Aksi Indonesia Dermawan adopts an external digital platform-based approach—such as Kitabisa.com, SharingHappiness.org, and RuangKitaPeduli.org—to expand donor reach and improve fundraising efficiency, despite facing a service fee deduction of 5–7%. In contrast, Lazismu Jabar prioritizes the integration of internal systems and the Muhammadiyah community network to maintain transparency and trust. The key distinction between the two institutions lies in their strategic orientation: Aksi Indonesia Dermawan focuses on the effectiveness of digital marketing and technological adaptation, while Lazismu Jabar emphasizes socio-religious movement values and long-term sustainability. The study also examines how sharia financial principles—particularly regarding the allocation of operational funds (amil) and the interpretation of service fees (ujroh) for digital platforms—are applied within the context of the challenges of digital philanthropy.Penelitian ini bertujuan untuk mengeksplorasi pemanfaatan platform digital dalam penghimpunan dana zakat, infak, dan sedekah (ZIS) pada Yayasan Aksi Indonesia Dermawan dan Lazismu Jawa Barat (Lazismu Jabar), serta menganalisis strategi masing-masing lembaga dalam menghadapi tantangan kepercayaan publik pasca kasus penyalahgunaan dana oleh lembaga sejenis. Menggunakan pendekatan kualitatif dengan metode studi kasus, penelitian ini melibatkan enam informan kunci dari kedua lembaga. Temuan menunjukkan bahwa Aksi Indonesia Dermawan mengadopsi pendekatan berbasis platform digital eksternal seperti Kitabisa.com, SharingHappiness.org, dan RuangKitaPeduli.org untuk meningkatkan jangkauan donatur serta efisiensi penghimpunan dana, meskipun harus menghadapi potongan ujroh antara 5–7%. Sementara itu, Lazismu Jabar mengutamakan integrasi sistem internal dan jaringan komunitas Muhammadiyah untuk menjaga transparansi dan kepercayaan. Perbedaan utama antara kedua lembaga terletak pada orientasi strategis: Aksi Indonesia Dermawan berfokus pada efektivitas digital marketing dan adaptasi teknologi, sedangkan Lazismu Jabar menekankan nilai gerakan sosial-keagamaan dan keberlanjutan jangka panjang. Penelitian ini juga mengkaji bagaimana prinsip keuangan syariah, terutama terkait alokasi dana operasional (amil) dan pemaknaan ujroh bagi platform digital, diterapkan dalam konteks tantangan digitalisasi filantropi
Classification of Mosque Typology Based on Distribution and Quantity Using K-Means Clustering in Indonesia
Full text linkThe objective of this study is to classify mosque typologies in Indonesia based on their quantity and spatial distribution using the K-Means Clustering algorithm. The dataset was obtained from the official website of the Ministry of Religious Affairs of the Republic of Indonesia and comprises the number of registered mosques across 34 provinces for the 2019–2023 period. The preprocessing procedures included data cleaning, provincial-level aggregation, and annual normalization to ensure consistency and comparability. The optimal number of clusters was determined through the Elbow Method, yielding three provincial categories (high, medium, and low) based on mosque density, referring to the total mosques recorded in each province. Centroid analysis revealed clear quantitative disparities among the clusters, while the spatial visualization showed a distinct geographical pattern in which western provinces such as West Java, Central Java, and East Java exhibited significantly higher mosque counts compared to eastern provinces such as Papua, Maluku, and East Nusa Tenggara. Collectively, these findings provide a rigorous, data-driven depiction of mosque distribution in Indonesia and offer a substantive foundation for advancing more equitable and sustainable religious infrastructure planning.The objective of this study is to classify mosque typologies in Indonesia based on their quantity and spatial distribution using the K-Means Clustering algorithm. The dataset was obtained from the official website of the Ministry of Religious Affairs of the Republic of Indonesia and comprises the number of registered mosques across 34 provinces for the 2019–2023 period. The preprocessing procedures included data cleaning, provincial-level aggregation, and annual normalization to ensure consistency and comparability. The optimal number of clusters was determined through the Elbow Method, yielding three provincial categories (high, medium, and low) based on mosque density, referring to the total mosques recorded in each province. Centroid analysis revealed clear quantitative disparities among the clusters, while the spatial visualization showed a distinct geographical pattern in which western provinces such as West Java, Central Java, and East Java exhibited significantly higher mosque counts compared to eastern provinces such as Papua, Maluku, and East Nusa Tenggara. Collectively, these findings provide a rigorous, data-driven depiction of mosque distribution in Indonesia and offer a substantive foundation for advancing more equitable and sustainable religious infrastructure planning
Architecture Information System With TOGAF-ADM (Case Study : Toko Sinar Remaja Maumere)
Full text linkIn the buying and selling industry, the development of information system technology allows sellers and buyers to interact with each other to achieve their respective goals and desires. The Sinar Teen Maumere light motorcycle spare parts store must also go through this process to develop a modified motorcycle spare parts business that can compete with other spare parts stores and manage the sales process systematically and computerized. Therefore, the purpose of this study is to develop a TOGAF ADM-based information system architecture for Sales and Inventory of the Sinar Teen Maumere Motorcycle Spare Parts Store. TOGAF has stages of preparation, Architectural Vision, Business Architecture, Information System Architecture, Technology Architecture, Opportunities and Solutions, and Architectural Change Management that can improve the performance and service of the Sinar Teen Store as well as control and monitor product sales. To produce a proposed application system design that can support business processes and create reports that occur at the Sinar Teen Motorcycle Spare Parts Store, the findings of this study provide a design that determines the business architecture, data architecture, application architecture, and technology architecture. At the general opportunities and solutions stage, a summary of all the sciences that produce the GAP analysis is explained as a reference for future information system development at the Sinar Teen Motor Spare Parts Store, Maumere.In the buying and selling industry, the development of information system technology allows sellers and buyers to interact with each other to achieve their respective goals and desires. The Sinar Teen Maumere light motorcycle spare parts store must also go through this process to develop a modified motorcycle spare parts business that can compete with other spare parts stores and manage the sales process systematically and computerized. Therefore, the purpose of this study is to develop a TOGAF ADM-based information system architecture for Sales and Inventory of the Sinar Teen Maumere Motorcycle Spare Parts Store. TOGAF has stages of preparation, Architectural Vision, Business Architecture, Information System Architecture, Technology Architecture, Opportunities and Solutions, and Architectural Change Management that can improve the performance and service of the Sinar Teen Store as well as control and monitor product sales. To produce a proposed application system design that can support business processes and create reports that occur at the Sinar Teen Motorcycle Spare Parts Store, the findings of this study provide a design that determines the business architecture, data architecture, application architecture, and technology architecture. At the general opportunities and solutions stage, a summary of all the sciences that produce the GAP analysis is explained as a reference for future information system development at the Sinar Teen Motor Spare Parts Store, Maumere
Decision Support System for Selecting the Best Rental House with Weight Product in Sidokare District, Sidoarjo Regency
Full text linkThe demand for rental housing in high-mobility areas such as Sidokare District, Sidoarjo Regency, continues to increase along with the region's economic development. However, prospective tenants often face difficulties in selecting the right rental house due to unstructured information and subjective decision-making processes. This study aims to develop a web-based Decision Support System (DSS) capable of providing objective and measurable rental housing recommendations. The method used is the Weighted Product (WP), a multicriteria decision-making technique that normalizes weights through multiplication operations. This system evaluates five rental housing alternatives based on eight main criteria, including price, location, facilities, security, and comfort. The results show that Sukun Rental House is the best alternative with the highest preference value of 0.0769. The practical implication of this study is the availability of an efficient digital tool for residents and students in Sidokare to compare various housing options transparently and quickly. This system successfully minimizes subjectivity in housing selection and helps users find the housing that best suits their financial priorities and functional needs.The demand for rental housing in high-mobility areas such as Sidokare District, Sidoarjo Regency, continues to increase along with the region's economic development. However, prospective tenants often face difficulties in selecting the right rental house due to unstructured information and subjective decision-making processes. This study aims to develop a web-based Decision Support System (DSS) capable of providing objective and measurable rental housing recommendations. The method used is the Weighted Product (WP), a multicriteria decision-making technique that normalizes weights through multiplication operations. This system evaluates five rental housing alternatives based on eight main criteria, including price, location, facilities, security, and comfort. The results show that Sukun Rental House is the best alternative with the highest preference value of 0.0769. The practical implication of this study is the availability of an efficient digital tool for residents and students in Sidokare to compare various housing options transparently and quickly. This system successfully minimizes subjectivity in housing selection and helps users find the housing that best suits their financial priorities and functional needs
Design and Implementation of a Web-Based Visual Search System for MSME E-Commerce Using the Flask Framework
Full text linkThis research presents the design and implementation of an end-to-end web-based visual search system for MSME e-commerce using the Flask framework and a VGG16-based convolutional neural network. The system addresses two critical challenges commonly faced by MSME digital platforms: product tagging errors during product uploads by sellers and limitations of text-based search for customers. A dual-model architecture is implemented, consisting of a visual search module for similarity-based image retrieval and a backend classification module for automatic product categorization. The system is evaluated using a locally collected MSME product image dataset from the Tapal Kuda region, achieving a classification accuracy of 89.17% and visual search performance with a macro precision of 0.85, macro recall of 1.0, and macro F1-score of 0.91. To support real-time deployment, visual features are pre-extracted and stored, enabling efficient query processing with response times under 2 seconds during concurrent usage testing. The results demonstrate that the proposed system provides effective and practical visual search functionality within a localized MSME context while maintaining feasible computational requirements, making it suitable for deployment in resource-constrained MSME environments.This research presents the design and implementation of an end-to-end web-based visual search system for MSME e-commerce using the Flask framework and a VGG16-based convolutional neural network. The system addresses two critical challenges commonly faced by MSME digital platforms: product tagging errors during product uploads by sellers and limitations of text-based search for customers. A dual-model architecture is implemented, consisting of a visual search module for similarity-based image retrieval and a backend classification module for automatic product categorization. The system is evaluated using a locally collected MSME product image dataset from the Tapal Kuda region, achieving a classification accuracy of 89.17% and visual search performance with a macro precision of 0.85, macro recall of 1.0, and macro F1-score of 0.91. To support real-time deployment, visual features are pre-extracted and stored, enabling efficient query processing with response times under 2 seconds during concurrent usage testing. The results demonstrate that the proposed system provides effective and practical visual search functionality within a localized MSME context while maintaining feasible computational requirements, making it suitable for deployment in resource-constrained MSME environments
Silver Nanoplates: Synthesis, Functional Applications and Translation Potential, A Systematic Literature Review
Full text linkSilver nanoplates and related triangular nanoprisms provide edge- and tip-enhanced plasmonics that are attractive for sensing, catalysis, energy conversion, and biomedical concepts, yet translation is frequently limited by oxidative reshaping, ligand loss, and inconsistent reporting. This systematic literature review synthesizes peer-reviewed journal evidence published between 2015 and 2025 to clarify synthesis levers, structure-property-performance relationships, and application readiness. ScienceDirect and Google Scholar were searched (last update: 15 December 2025) and screened using a PRISMA 2020 workflow and PICOC framing. From 137 records, 23 studies met inclusion criteria for qualitative synthesis. Across the literature, reproducible performance most strongly tracks coupled control of lateral size and thickness via pH, chelators, and capping ligands, which tunes LSPR position and linewidth. Applications are most mature in plasmonic sensing, including rapid pathogen and small-molecule detection, while flow-compatible catalysis and device-integrated energy studies provide clearer pathways toward deployment. Key gaps remain in standardized morphology descriptors, long-term stability protocols, batch reproducibility, and leaching or toxicity evidence. Actionable guidance is provided for scalable synthesis, robust validation, and translation-focused reporting. Unlike earlier reviews that emphasize either plasmonic principles or single application niches, this review integrates synthesis control with stability and reporting standards to accelerate translation.Silver nanoplates and related triangular nanoprisms provide edge- and tip-enhanced plasmonics that are attractive for sensing, catalysis, energy conversion, and biomedical concepts, yet translation is frequently limited by oxidative reshaping, ligand loss, and inconsistent reporting. This systematic literature review synthesizes peer-reviewed journal evidence published between 2015 and 2025 to clarify synthesis levers, structure-property-performance relationships, and application readiness. ScienceDirect and Google Scholar were searched (last update: 15 December 2025) and screened using a PRISMA 2020 workflow and PICOC framing. From 137 records, 23 studies met inclusion criteria for qualitative synthesis. Across the literature, reproducible performance most strongly tracks coupled control of lateral size and thickness via pH, chelators, and capping ligands, which tunes LSPR position and linewidth. Applications are most mature in plasmonic sensing, including rapid pathogen and small-molecule detection, while flow-compatible catalysis and device-integrated energy studies provide clearer pathways toward deployment. Key gaps remain in standardized morphology descriptors, long-term stability protocols, batch reproducibility, and leaching or toxicity evidence. Actionable guidance is provided for scalable synthesis, robust validation, and translation-focused reporting. Unlike earlier reviews that emphasize either plasmonic principles or single application niches, this review integrates synthesis control with stability and reporting standards to accelerate translation
Analysis of Software-Defined Networking Resilience to Link Failure through Failover Routing Simulation
Full text linkSoftware-Defined Networking (SDN) represents an advanced architectural paradigm that separates control logic from data forwarding, enabling centralized and adaptive network management. This study investigates SDN resilience under link failure conditions and evaluates the effectiveness of failover routing in restoring network performance. Simulation-based experiments are conducted on a redundant logical topology implemented using Python and the NetworkX library, covering three operational phases: normal operation, link failure, and failover recovery. The results show that link failures cause a noticeable degradation in network performance, with normalized link utilization increasing due to traffic concentration on limited paths. After failover routing is activated, network performance improves significantly, achieving up to approximately 15–20% higher normalized link utilization compared to the failure state, indicating successful traffic rerouting and service restoration. These findings demonstrate that failover routing enables rapid recovery and maintains service continuity despite link disruptions. This study contributes to SDN resilience research by providing a reproducible logical-topology simulation framework and quantitative evidence that proactive, controller-based failover routing effectively enhances network robustness under link-failure scenarios, offering practical insights for resilient SDN design in data center and enterprise environments.Software-Defined Networking (SDN) represents an advanced architectural paradigm that separates control logic from data forwarding, enabling centralized and adaptive network management. This study investigates SDN resilience under link failure conditions and evaluates the effectiveness of failover routing in restoring network performance. Simulation-based experiments are conducted on a redundant logical topology implemented using Python and the NetworkX library, covering three operational phases: normal operation, link failure, and failover recovery. The results show that link failures cause a noticeable degradation in network performance, with normalized link utilization increasing due to traffic concentration on limited paths. After failover routing is activated, network performance improves significantly, achieving up to approximately 15–20% higher normalized link utilization compared to the failure state, indicating successful traffic rerouting and service restoration. These findings demonstrate that failover routing enables rapid recovery and maintains service continuity despite link disruptions. This study contributes to SDN resilience research by providing a reproducible logical-topology simulation framework and quantitative evidence that proactive, controller-based failover routing effectively enhances network robustness under link-failure scenarios, offering practical insights for resilient SDN design in data center and enterprise environments
Pelatihan Desain Poster Melalui Aplikasi Canva Sebagai Sarana Pengembangan Kreativitas Siswa Kelas VI SDN 2 Sumberoto
Full text linkPerkembangan teknologi digital menuntut sekolah dasar untuk tidak hanya membekali siswa dengan kemampuan akademik, tetapi juga keterampilan abad ke-21 seperti kreativitas. Di SDN 2 Sumberoto, sebagian besar siswa belum terbiasa menggunakan aplikasi desain grafis untuk mendukung proses belajar, sehingga kreativitas siswa dalam menghasilkan karya digital masih terbatas. Kegiatan pengabdian ini bertujuan untuk memperkenalkan dan melatih siswa kelas VI dalam memanfaatkan aplikasi Canva sebagai media pembelajaran, sekaligus mendorong siswa untuk lebih kreatif dalam menyampaikan ide melalui karya visual. Pelaksanaan kegiatan dilakukan melalui tiga tahap, yakni persiapan dengan identifikasi kebutuhan, pelaksanaan berupa sosialisasi serta pelatihan praktik menggunakan Canva, dan evaluasi melalui penilaian karya siswa serta refleksi bersama. Hasil kegiatan menunjukkan bahwa meskipun baru pertama kali menggunakan Canva, siswa mampu menghasilkan karya sederhana berupa poster dengan tema kebersihan lingkungan. Siswa terlihat antusias, lebih percaya diri, dan menunjukkan peningkatan kreativitas dalam memadukan teks, gambar, serta warna. Kegiatan ini membuktikan bahwa pemanfaatan Canva dapat menjadi sarana yang efektif untuk menumbuhkan kreativitas dalam berkarya
Pelatihan Turnitin sebagai Alat Untuk Meningkatkan Integritas Akademik dan Keterampilan Menulis Guru MGMP Bahasa Indonesia
Full text linkRendahnya pemahaman guru terhadap integritas akademik dan keterampilan penggunaan aplikasi Turnitin menjadi salah satu faktor penyebab tingginya potensi plagiarisme dalam penulisan ilmiah. Kegiatan pengabdian kepada masyarakat ini bertujuan meningkatkan integritas akademik dan keterampilan menulis guru MGMP Bahasa Indonesia melalui pelatihan penggunaan Turnitin. Metode yang digunakan adalah pelatihan berbasis demonstrasi dan praktik langsung, meliputi penyampaian materi etika akademik, teknik sitasi dan parafrasa, serta pendampingan penggunaan Turnitin. Hasil kegiatan menunjukkan peningkatan signifikan pada pemahaman peserta tentang plagiarisme dan integritas akademik, serta peningkatan keterampilan teknis dalam mengoperasikan Turnitin, membaca laporan kesamaan, dan merevisi naskah secara tepat. Dampaknya, kualitas karya tulis ilmiah guru mengalami perbaikan pada aspek orisinalitas, sistematika, dan ketepatan referensi. Kegiatan ini menegaskan bahwa pelatihan Turnitin efektif sebagai strategi penguatan budaya akademik dan peningkatan profesionalisme guru.Rendahnya pemahaman guru terhadap integritas akademik dan keterampilan penggunaan aplikasi Turnitin menjadi salah satu faktor penyebab tingginya potensi plagiarisme dalam penulisan ilmiah. Kegiatan pengabdian kepada masyarakat ini bertujuan meningkatkan integritas akademik dan keterampilan menulis guru MGMP Bahasa Indonesia melalui pelatihan penggunaan Turnitin. Metode yang digunakan adalah pelatihan berbasis demonstrasi dan praktik langsung, meliputi penyampaian materi etika akademik, teknik sitasi dan parafrasa, serta pendampingan penggunaan Turnitin. Hasil kegiatan menunjukkan peningkatan signifikan pada pemahaman peserta tentang plagiarisme dan integritas akademik, serta peningkatan keterampilan teknis dalam mengoperasikan Turnitin, membaca laporan kesamaan, dan merevisi naskah secara tepat. Dampaknya, kualitas karya tulis ilmiah guru mengalami perbaikan pada aspek orisinalitas, sistematika, dan ketepatan referensi. Kegiatan ini menegaskan bahwa pelatihan Turnitin efektif sebagai strategi penguatan budaya akademik dan peningkatan profesionalisme guru
Analisis Kelayakan Tekno-Ekonomi Penerapan Sistem Photovoltaic On-Grid di Gedung FISKOM, Universitas Kristen Immanuel
Full text linkPenelitian ini menggunakan metode kuantitatif berbasis simulasi dengan pendekatan analisis tekno-ekonomi untuk mengevaluasi dan membandingkan beberapa skema perancangan PLTS atap. Studi kasus dilakukan di Gedung Fakultas Sains dan Komputer (FISKOM), Universitas Kristen Immanuel, dengan golongan tarif listrik sosial. Sistem yang dianalisis merupakan Photovoltaic (PV) On-Grid yang terintegrasi dengan jaringan PLN. Evaluasi dilakukan terhadap empat skema konfigurasi, yaitu Full-Roof, North-Roof, Meter-Based, dan Load-Based, menggunakan periode investasi 25 tahun dan tingkat diskonto sebesar 4,75%. Analisis ekonomi dilakukan menggunakan indikator Levelized Cost of Energy (LCOE), Net Present Value (NPV), dan Payback Period, sedangkan kinerja teknis dievaluasi melalui Performance Ratio (PR), Energy Yield, dan System Losses. Hasil penelitian menunjukkan bahwa oversizing sistem merupakan kendala utama dari sisi ekonomi. Skema Full-Roof tidak layak pada kondisi beban eksisting, yang ditunjukkan oleh nilai LCOE sebesar Rp12.104/kWh dan NPV negatif signifikan sebesar –Rp403.754.280 akibat produksi energi berlebih yang tidak termanfaatkan. Sementara, skema Meter-Based menunjukkan kinerja paling seimbang, dengan PR sebesar 79%, Energy Yield 1.632 kWh/kWp, System Losses 15%, serta NPV positif sebesar Rp56.033.601. Temuan ini menegaskan bahwa kelayakan sistem PV On-Grid sangat dipengaruhi oleh kesesuaian kapasitas sistem terhadap konsumsi energi aktual. Sistem berkapasitas besar dapat menunjukkan kinerja teknis yang lebih baik, namun berpotensi menimbulkan kerugian finansial apabila energi yang dihasilkan tidak terserap secara optimal. Oleh karena itu, pendekatan optimasi kapasitas, khususnya melalui skema Meter-Based, direkomendasikan untuk menjaga keseimbangan antara efisiensi teknis dan kelayakan ekonomi