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All Journal TEKNIK INFORMATIKA Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Jurnal Riset Rumpun Agama dan Filsafat
Triyanna Widiyaningtyas
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Transportation Veterinary Other

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Pemberdayaan Komunitas UMKM Makmur Bersama Untuk Meningkatkan Kualitas dan Legalitas Digitalisasi Ekonomi Masyarakat Kelurahan Karangbesuki Mohamad Rodhi Faiz; Sujito, Sujito; Triyanna Widiyaningtyas; Budi Wibowotomo; Rajib Muhammad Basthomy
ABDIKAN: Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Vol. 2 No. 3 (2023): Agustus 2023
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/abdikan.v2i3.2392

Abstract

Along with the development of the economic sector and the rapid pace of the information sector, the position of MSMEs in market competition schemes is often left behind by businesses with larger capital. With more modern marketing methods and legal activities that more clearly affect the relationship of trust between sellers and consumers. So Empowerment and Training is needed on how to build a business that has legality and quality so that it can survive in business competition and can develop into a more modern one. This time the community service raised this problem and collaborated with Makmur Bersama MSME Community partners. Partners are located in Karangbesuki Village, Sukun District, Malang City, around the Malang State University Campus. This community service proposes a program of empowerment and assistance in obtaining business licensing starting from Business Identification Numbers (NIB), Home Industry Product Numbers (P-IRT), and Product Halal Certification.
Ontologi, Aksiologi, dan Epistemologi Energi Baru Terbarukan Terhadap Smart City: Tinjauan Literatur Sistematis Alfarid Hendro Yuwono; Syaad Patmanthara; Aripriharta Aripriharta; Triyanna Widiyaningtyas; Nafi Isbadrianingtyas; M Ibrahim Ashari
Jurnal Riset Rumpun Agama dan Filsafat Vol. 4 No. 3 (2025): Desember: Jurnal Riset Rumpun Agama dan Filsafat
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurrafi.v4i3.7273

Abstract

The development of digital technology and the Internet of Things (IoT) has transformed the paradigm of urban development towards the concept of a smart city based on data and connectivity. This study analyzes the nature of smart cities through three dimensions of the philosophy of science: ontology, epistemology, and axiology. From an ontological perspective, a smart city is understood as a complex entity consisting of physical, digital, social, and ecological systems that interact with each other to create efficient and adaptive urban governance. Epistemologically, knowledge in a smart city is obtained through the process of collecting, processing, and analyzing data from various IoT devices, sensors, and citizen participation, thereby producing new insights that support evidence-based decision-making (data-driven governance). From an axiological perspective, a smart city has ethical values and goals to improve the quality of life of its citizens, strengthen government transparency, maintain environmental sustainability, and promote inclusive social participation. Thus, this study asserts that the development of a smart city is not only technological but also has a philosophical foundation oriented towards a balance between efficiency, humanity, and sustainability.
Ensemble Hybrid Recommender System (CBF, CF, KNN, NBC) With Multi-View TF-IDF for Robust Preliminary Medical Diagnosis Karaman, Jamilah; Triyanna Widiyaningtyas
JURNAL TEKNIK INFORMATIKA Vol. 19 No. 1: JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v19i1.48705

Abstract

Advances in health information technology require intelligent systems capable of supporting rapid and accurate diagnosis. This study proposes a Hybrid Recommender System (HRS) for preliminary medical diagnosis based on electronic medical records. The developed system combines K-Nearest Neighbor and Naïve Bayes Classifier with Multi-View TF-IDF feature representation. A total of 948 doctor-annotated medical records were used in the evaluation using a 10-Fold Cross-Validation scheme to improve the reliability of performance assessment. The results show that the hybrid model provides the best performance with an accuracy of 87.37% and an F1-score of 84.20%, consistently surpassing all comparison methods. These findings confirm that the integration of similarity-based and probabilistic learning can improve the quality of initial diagnosis recommendations in medical decision support systems. Further research will focus on expanding the dataset and clinical validation to ensure the reliability of the system in real-world practice.
Co-Authors Alfarid Hendro Yuwono Aripriharta - Budi Wibowotomo Karaman, Jamilah M Ibrahim Ashari Mohamad Rodhi Faiz Nafi Isbadrianingtyas Rajib Muhammad Basthomy Sujito Sujito Syaad Patmanthara