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All Journal JURNAL TEKNOLOGI DAN OPEN SOURCE JSiI (Jurnal Sistem Informasi) Jurnal Ilmu Komputer dan Desain Komunikasi Visual Jurnal Teknologi Informasi dan Multimedia bit-Tech Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Pendidikan dan Teknologi Indonesia Jurnal Teknik Informatika Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Jurnal Ilmiah Teknik Informatika dan Komunikasi MDP Student Conference Jurnal Ilmu Komputer dan Sistem Informasi Computing Insight: Journal of Computer Science Prosiding Seminar Nasional Indonesia Jurnal Pengabdian Masyarakat Inovatif Jurnal Pengabdian Masyarakat Inovatif Indonesian Journal of Enterprise Architecture
Tri Luhur Indayanti Sugata
Program Studi Sistem Informasi, Universitas Pembangunan Nasional ”Vetaran” Jawa Timur, Indonesia
Aerospace Engineering Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

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Pengenalan Instrumen Bedah Menggunakan Deskriptor Geometris Berbasis Kontur Fica Aida Nadhifatul Aini; Siti Duratun Nasiqiati Rosady; Talifatim Machfuroh; Zakiyah Amalia; Tri Luhur Indayanti Sugata
Jurnal Teknologi Informasi dan Multimedia Vol. 8 No. 3 (2026): August
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v8i3.1182

Abstract

Surgical instrument recognition is a critical component in robot-assisted surgery for precisely identifying the types of instruments being utilized. This study investigates the application of contour-based geometric descriptors to recognize surgical instruments without requiring a model training process (training-free). The proposed approach extracts instrument contours and calculates three geometric descriptors: Aspect Ratio, Solidity, and Contour Ratio. The descriptor values of the input objects are compared against an offline reference descriptor matrix using the Euclidean distance measure. The main contributions of this study lie in proposing a lightweight and training-free surgical instrument recognition scheme utilizing a combination of three contour-based geometric descriptors, as well as providing a transparent and traceable (explainable) classification decision mechanism based on Euclidean distance similarity comparison across classes. Evaluation was performed using a primary laboratory dataset acquired with a Logitech Brio 4K camera (1080p, 60 fps) at a distance of 30 cm, an illumination of 300 lux, and a plain green cloth background. The testing dataset comprised 10 images containing 30 controlled instrument instances (10 instances each for Tissue Forceps, Dressing Forceps, and Mayo-Hegar Needle Holder). On this specific testing dataset, the proposed method achieved a recognition accuracy of 100% with an average processing time of 59.31 ms per image. Although obtaining perfect accuracy under controlled laboratory conditions, these results are interpreted strictly within the limits of the experimental environment and do not yet reflect generalization to complex real-world surgical images.
Enterprise Architecture and Smart Economy in Smart Villages: A Systematic Review and TOGAF-Integrated Conceptual Model Virdha Rahma Aulia; Tri Luhur Indayanti Sugata; Rafika Rahmawati; Hauta Taqiya Azza Nabila; Ilham Bintang Herlambang
Indonesian Journal of Enterprise Architecture Vol. 3 No. 3 (2026): Indonesian Journal of Enterprise Architecture
Publisher : Global Research and Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/ijea.v3i3.1186

Abstract

This study examines how EA can support smart and resilient rural economies and identifies the main determinants of successful implementation. Following PRISMA 2020, a systematic literature review was conducted using Scopus. Of 413 records screened, 25 peer-reviewed articles published between 2020 and 2026 were included. The findings show that TOGAF and its Architecture Development Method dominate Smart Village EA design, commonly supported by ArchiMate, Service-Oriented Architecture, and Design Science Research. Key technological determinants include digital infrastructure, digital commerce, and digital literacy, while government support, participatory governance, and regional socio-economic conditions are the main organizational determinants. Although economic and resilience outcomes are generally positive, several studies report diminishing returns and regional disparities. Based on these findings, this study proposes a TOGAF-integrated conceptual model linking determinants, core architecture, implementation, and Smart Economy outcomes to guide digital village planning and rural economic development.
Co-Authors Abdul Rezha Efrat Najaf Abdul Rezha Efrat Najaf Abdul Rezha Efrat Najaf Agung Brastama Putra Almas Agung Firdaus Amalia Anjani Arifiyanti Annisa Lusyani Zahra Arya Daffa Junaidi Audy Fitri Ariani Fariz Fica Aida Nadhifatul Aini Hauta Taqiya Azza Nabila Ilham Bintang Herlambang Iqbal Ramadhani Mukhlis Lano Putra Rajendra Narendra, Efriza Cahya Naufal Hilmy Ramadhani Nesvia Nissa Artanti Paloma Ransi Prasasti Karunia Farista Ananto Prasasti Karunia Farista Ananto Rafika Rahmawati Rafika Rahmawati Rafika Rahmawati Rendi Adi Saputra Satibi, Iswanda Fauzan Seftin Fitri Ana Wati Sembilu, Nambi Setiawan, Moch Rezeki Siti Duratun Nasiqiati Rosady Siti Mukaromah Talifatim Machfuroh Thomas Aquino Berno Doduk Tri Puspa Rinjeni Ubaidillah Fahmi, Rohmat Virdha Rahma Aulia Virdha Rahma Aulia Viviana Purba Wahyuni, Eka Dyar Windy Fadhilah Susanti Zakiyah Amalia