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All Journal Jurnal Edukasi dan Penelitian Informatika (JEPIN) Jurnal Penelitian Pendidikan IPA (JPPIPA) Journal of Computer Science and Informatics Engineering (J-Cosine) Jurnal Teknologi Informasi, Komputer, dan Aplikasinya (JTIKA ) Jurnal Teknik Informatika (JUTIF) Jurnal Begawe Teknologi Informasi
Ario Yudo Husodo, Ario Yudo
Departmet of Informatics Engineering, Engineering Faculty, Mataram University
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Materials Science & Nanotechnology Physics

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Modification Of Yolov11 Nano And Small Architecture For Improved Accuracy In Motorcycle Riders Face Recognition Based On Eye Ardiansyah, Randy; Wirarama WW, I Gde Putu; Husodo, Ario Yudo
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 5 (2025): JUTIF Volume 6, Number 5, Oktober 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.5.4535

Abstract

Face recognition still faces challenges in identifying faces covered by masks and helmets with open visors, such as those commonly used by motorcyclists, especially when entering parking areas. To improve the accuracy of face recognition in these conditions, this study proposes nano and small versions of the YOLOv11 modification, which is an internal version. Modifications are made to the neck section and the DySample module is added in place of the UpSample module to improve the model's capabilities. Experiments were conducted using a self-generated dataset consisting of 50 classes. The results show that the modified nano version achieves 99.3% accuracy at the same mAP50 as YOLOv11n and YOLOv12n. At mAP50-95, it shows a 1.6% accuracy improvement compared to YOLOv11n and YOLOv12n with 75% accuracy. Meanwhile, the modified small version achieved an accuracy improvement of 1.3% and 1.2% compared to YOLOv11n and YOLOv12n, respectively, reaching 76.1% on mAP50-95, although the accuracy on mAP50 remained the same as YOLOv11n and 0.1% superior to YOLOv12n. However, recall and precision did not show significant improvement in both as well as the increase in model parameters. However, the model is still in the nano and small versions. Therefore, the model can be implemented on edge devices. This research is important for the field of computer vision, especially in the context of face recognition. The contribution of this research is the improvement of the accuracy of the mAP50-95 metric in eye-based face recognition, which is relevant for intelligent security systems with limited resources.
Pengujian Multiplatform pada Aplikasi NTB Mall: Multiplatform Testing on the NTB Mall Application Raihan, Muhammad Dzulhi; Agitha, Nadiyasari; Husodo, Ario Yudo; Bimantoro, Fitri; Rabbani, Budiman
Jurnal Begawe Teknologi Informasi (JBegaTI) Vol. 5 No. 1 (2024): JBegaTI
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbegati.v5i1.1176

Abstract

NTB Mall merupakan inovasi dari Dinas Perdagangan Provinsi NTB untuk memasarkan produk-produk asli yang dibuat oleh para UMKM di daerah pulau Lombok dan Sumbawa Aplikasi NTB Mall, sebagai sebuah sarana jual beli online berbasis aplikasi dan web tentunya harus kompatibel untuk Aplikasi NTB Mall adalah wujud nyata dari komitmen untuk memajukan perekonomian daerah ini. Aplikasi ini dirancang sebagai wadah digital yang memungkinkan para pelaku usaha di Lombok dan Sumbawa untuk memasarkan produk-produk mereka secara lebih luas, bahkan hingga ke seluruh penjuru Indonesia dan luar negeri. Dengan demikian, NTB Mall memberikan aksesibilitas yang lebih mudah bagi konsumen untuk menemukan, membeli, dan mendukung produk-produk lokal yang berkualitas tinggi dan berkarakter unik. Dalam pengembangan aplikasi NTB Mall ini perlu dilakukan beberapa tesiting pada aplikasinya. Pentingnya pengujian multi-platform dalam konteks ini tidak bisa diabaikan. Pengujian multiplatform dilakukan agar aplikasi dapat beradaptasi dengan kebutuhan pengguna khususnya yang merupakan Pedagang Kaki Lima (PKL) sehingga mereka dapat memanfaatkan aplikasi ini dengan sebaik mungkin. Berdasarkan pengujian yang telah dilakukan didapatkan hasil berupa pada sistem IOS dan Android mencapai kesesuaian 87.5% dan pada system Web Browser mendapatkan Tingkat kesesuaian sebesar 91.6%.
SOSIALISASI PEMASARAN DIGITAL BAGI PELAKU UMKM DI DESA JURIT, LOMBOK TIMUR, NTB: Digital Marketing Socialization for Small and Medium Enterprises on Jurit Village East lombok Bimantoro, Fitri; Wijaya, I Gede Pasek Suta; Dwiyansaputra, Ramaditia; Nugraha, Gibran Satya; Husodo, Ario Yudo; Hamidi, Mohammad Zaenuddin; Akhyar, Halil; Darmawan, Riski
Jurnal Begawe Teknologi Informasi (JBegaTI) Vol. 5 No. 2 (2024): JBegaTI
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbegati.v5i2.1272

Abstract

Terletak di sebelah Selatan kaki gunung Rinjani, desa Jurit yang terletak di Lombok Timur merupakan salah satu desa yang memiliki sumber daya yang melimpah. Desa Jurit dengan mayoritas petani memiliki produk unggulan berupa Nanas. Saat ini, dengan perkembangan teknologi yang begitu pesat, tentu penggunaan teknologi menjadi salah satu faktor yang mampu mendongkrak kualitas hidup Masyarakat pada umumnya. Tentu hal itu juga menjadi fokus utama pengabdian di desa Jurit, yakni akan menyoroti tentang penggunaan digital marketing sebagai alat untuk meningkatkan penjualan berbasis digital, tentunya harapannya dapat meningkatkan pendapatan para petani dan pelaku usaha kecil dan menengah yang ada di desa Jurit. Pada prosesnya, sosialisasi ini memperkenalkan dan melatih pelaku usaha untuk menggunakan media pemasaran seperti media sosial, e-commerce, dan aplikasi mobile lainnya, dengan tujuan pelaku usaha mampu memahami dan menggunakan strategi digital yang baik seperti pemasaran digital, search engine optimizer, penggunaan media sosial dan tentunya e-commerce. Sehingga pada praktiknya, kegiatan ini tidak hanya berfokus pada cara penggunaan teknolginya, namun juga bagaimana mengenalkan dan menanamkan mindset dan model bisnis digital yang akan membantu peningkatan dan keberlangsungan pelaku usaha pada masa depan.
Mengoptimalkan Optimalisasi Pemilihan Penerima Beasiswa KIP-K Melalui Kombinasi Metode AHP, Topsis, dan Skyline Query di Universitas Mataram: pengantar Rahayu, Irma Putri; Wijayanto, Heri; Husodo, Ario Yudo
Jurnal Penelitian Pendidikan IPA Vol 11 No 12 (2025): December
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i12.12032

Abstract

The KIP-K scholarship program provides crucial educational support for underprivileged students, yet its manual selection process at the University of Mataram has been plagued by inefficiency, subjectivity, and inconsistency. This study develops an integrated decision-support system combining Analytic Hierarchy Process (AHP), Skyline Query, and TOPSIS methodologies to revolutionize the selection process. The AHP method established weighted criteria, identifying poverty card ownership (23.24%) and number of family dependents (18.61%) as the most critical factors. Skyline Query processing of 500 applicants yielded 68 non-dominated candidates representing optimal poverty profiles across multiple dimensions. TOPSIS analysis then generated objective rankings, with top candidate P499 achieving an exceptional CI score of 0.872. The integrated system demonstrated remarkable consistency (CR < 0.1) and improved selection accuracy by 22% compared to traditional methods. Jaccard Distance analysis (0.0-0.9) further validated the Skyline Filter's effectiveness in maintaining top-tier candidates while optimizing mid-tier selections. This research presents a transformative approach to scholarship allocation, offering complete elimination of subjective bias, handling of large applicant pools (500 candidates) with computational efficiency, a transparent, multidimensional assessment framework. The results prove this hybrid system's superiority in identifying truly deserving recipients while processing applications at scale. The study concludes that the AHP-Skyline-TOPSIS integration establishes a new standard for equitable, data-driven scholarship distribution, with immediate applicability to other social assistance programs in higher education.
Incremental CNN-k-NN Hybrid Facial Recognition for Helmeted Facial Recognition in IoT-Enabled Smart Parking: A Case Study at Universitas Mataram Widiartha, Ida Bagus Ketut; Husodo, Ario Yudo; Thuy, Tran Thi Thanh; Murpratiwi, Santi Ika
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 6 (2025): JUTIF Volume 6, Number 6, Desember 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.6.5447

Abstract

Helmeted rider identification challenges traditional facial recognition, especially in Indonesian campuses like UNRAM, where motorbike use is prevalent and theft risks are high. This study develops a hybrid CNN-k-NN system for secure parking access. The dataset contains 2,800 augmented images (Haar Cascade crop, 224x224 grayscale), with features extracted via VGG16/ResNet and classified using k-NN (k=1, Euclidean/Cosine). The system achieves 95.62% accuracy, with precision, recall, and F1 scores of 0.96. Incremental retraining reduces processing time to under 1 second, compared to 30 minutes for full retraining. The use of cosine similarity improves accuracy slightly over Euclidean distance. This solution enhances IoT-based smart campuses by enabling efficient, real-time identification and reducing theft by improving access control. It is adaptable to low-resource environments, supporting scalable deployments in smart parking and campus security systems.
Co-Authors Afwani, Royana Agitha, Nadiyasari Aprilla, Diah Mitha Ardiansyah, Randy Budi Irmawati Darmawan, Riski Dwiyansaputra, Ramaditia Fitri Bimantoro Grendis, Nuraqilla Waidha Bintang Halil Akhyar Hamidi, Mohammad Zaenuddin Hanan, Dimas Afryzal Heri Wijayanto I B K Widiartha I Gede Pasek Suta Wijaya I Wayan Agus Arimbawa, I Wayan Agus Ma'we, Hannatul Muhammad, David Arizaldi Muntari Muntari Murpratiwi, Santi Ika Nugraha, Gibran Satya Rabbani, Budiman Rahayu, Irma Putri Rahayu, Sefani Cahyo Auliya Raihan, Muhammad Dzulhi Rassy, Regania Pasca Rosalina Rosalina Sugianti, Novalia Dwirohmatun Thuy, Tran Thi Thanh Wirarama WW, I Gde Putu