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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Pendidikan Teknologi dan Kejuruan APTEKINDO Jurnal Sains dan Teknologi Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) MASALIQ: Jurnal Pendidikan dan Sains Al-DYAS : Jurnal Inovasi dan Pengabdian kepada Masyarakat Bulletin of Social Informatics Theory and Application Asian Journal of Science, Technology, Engineering, and Art ALSYSTECH Journal of Education Technology
Ni Ketut Kertiasih
Prodi Teknologi Rekayasa Perangkat Lunak, Universitas Pendidikan Ganesha
Religion Arts Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology Social Sciences Other

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KLASIFIKASI CITRA MEDIS MAMOGRAFI BERBASIS MULTI-VIEW CONVOLUTIONAL NEURAL NETWORKS Gede Wahyu Purnama; Agus Aan Jiwa Permana; Ni Ketut Kertiasih
Jurnal Pendidikan Teknologi dan Kejuruan Vol. 22 No. 2 (2025): Edisi Juli 2025
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jptk-undiksha.v22i2.94691

Abstract

Penelitian ini menyajikan alur kerja preprocessing untuk data mamografi dengan format DICOM dan digunakan untuk melatih model Multi-View Convolutional Neural Networks (MV-CNNs). MV-CNNs berpotensi meningkatkan akurasi klasifikasi BI-RADS mamografi untuk deteksi dini kanker payudara, namun memerlukan data yang diproses secara tepat. Preprocessing data meliputi seleksi pasangan citra dengan tampak Craniocaudal (CC) dan Mediolateral Oblique (MLO) dengan BI-RADS 1-5, penyesuaian label, penyeimbangan kelas (undersampling), konversi DICOM ke PNG terstandar (termasuk penanganan VOI LUT dan MONOCHROME1), ekstraksi Region of Interest (ROI) otomatis, serta resizing ke [512, 288]. Dataset disiapkan untuk evaluasi stratified k-fold cross-validation. Setelah itu akan digunakan untuk melatih model MV-CNNs dengan ConvNeXt sebagai basis model CNNnya. Model terbaik yang dilatih telah diuji menggunakan dataset primer yang didapatkan dari RSUD Buleleng. Hasil yang didapatkan melalui k-fold ensemble adalah accuracy : 50% ; F1-score : 0.476; & recall : 0.458.
VIDEO PROFIL SEBAGAI SARANA PROMOSI EFEKTIF DALAM MENUNJANG EKSISTENSI PROGRAM STUDI MANAJEMEN INFORMATIKA Aan, agus; Kertiasih, Ni Ketut; BUDHAYASA, I PUTU
JST (Jurnal Sains dan Teknologi) Vol. 6 No. 2 (2017)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (953.055 KB) | DOI: 10.23887/jstundiksha.v6i2.10705

Abstract

Video  profil  merupakan  sebuah  media  elektronik  untuk  menyampaikan  informasi yang sangat efektif dalam memperkenalkan suatu Prodi. Melalui media visual inilah maka semua informasi dapat dengan mudah dicerna oleh semua kalangan masyarakat. Prodi Manajemen Informatika adalah Prodi berada di Fakultas Teknik dan Kejuruan, Universitas Pendidikan Ganesha (Undiksha). Prodi ini, membutuhkan  media promosi untuk sosialisasi kepada masyarakat untuk meningkatkan eksistensinya setelah melakukan perombakan kurikulum 2012 menjadi 2016. Berdasarkan hal tersebut, maka untuk melakukan promosi maka dikembangkan  sebuah video profil Prodi Manajemen Informatika Undiksha. Dalam pembuatan  video ini, digunakan  Software  Adobe Premiere Pro dan Adobe After Effects sehingga akan memudahkan pembuatan video profil. Dalam pembuatan Video Profil tahapan yang akan dibuat dimulai dari tahap Pra Produksi (Persiapan Ide, pengerjaan video, dan dialog atau Storyboard), Tahap Produksi (proses pengambilan gambar), Tahap Paska Produksi (Editing Video) serta elemen-elemen yang ada setiap tahapnya. Hasilnya berupa video profil yang digunakan untuk mempromosikan Prodi Manajemen Informatika. 
Development and Validation of a Virtual Reality Circumcision Training Simulator: Simulator Sickness, User Experience, and Clinical Performance in Bali, Indonesia Sindu, I Gede Partha; Kertiasih, Ni Ketut; Dinata, I Gede Surya; Sugiartawan, Putu
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 19, No 4 (2025): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.111664

Abstract

Virtual Reality (VR) is increasingly integrated into medical education, yet its application in Indonesia remains limited. This study developed and validated a VR-based circumcision simulator to evaluate simulator sickness, user experience, and clinical performance. A mixed-methods, repeated-measures design was conducted with 74 participants (25 Novices, 24 Intermediates, 25 Experts). Participants engaged in three simulation modes (Autonomous, Guided, Haptic). Instruments included SSQ, FMS, VRNQ, UEQ-S, Checklist, and OSATS. Analyses employed repeated-measures ANOVA, nonparametric tests, and Spearman correlations. Simulator sickness was highest in Autonomous Mode. User experience scores improved with expertise, showing positive correlations with performance and negative correlations with sickness. Experts consistently outperformed other groups, and skill improvements were retained for up to one month. The VR circumcision simulator demonstrated strong construct validity and educational impact. Instructional modes effectively reduced sickness, while haptic integration enhanced spatial orientation. Future studies should incorporate physiological measures and assess real-world skill transfer.
Pelatihan Penggunaan AI untuk Mendukung Pembelajaran di Tingkat Sekolah Dasar Lab Undiksha Sindu, I Gede Partha; Permana, Agus Aan Jiwa; Kertiasih, Ni Ketut; Setemen, Komang; Pracasitaram, Gede Made Surya Bumi
Al-DYAS Vol 4 No 3 (2025): OKTOBER
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/aldyas.v4i3.7615

Abstract

The community service activity titled Training on the Use of AI to Support Learning at the Elementary School Level, conducted at the Undiksha Laboratory School, was driven by the urgent need to enhance teachers’ competencies in response to rapid developments in digital technology, particularly generative artificial intelligence (generative AI). Teachers are expected to integrate technology into the educational process to make learning more effective, relevant, and innovative. The primary goal of this activity was to equip elementary school teachers with both conceptual understanding and practical skills in utilizing AI as a tool to support learning. The training was structured around four core topics: basic introduction to AI, the use of AI in lesson planning, AI-assisted development of interactive learning media, and practical application of AI-based tools. The implementation methods included material delivery, active discussions, and hands-on practice to ensure a balance between theory and application. Evaluation results showed a significant improvement in participants’ understanding and skills related to AI usage, increased motivation to innovate in teaching, and strengthened technological orientation in classroom practice. Participants also appreciated the training as a valuable initiative and recommended its continuation. Therefore, this training has made a tangible contribution to enhancing teacher capacity and supporting the transformation of learning at the elementary school level.
Aplikasi untuk Deteksi dan Klasifikasi Motif Kain Tenun Timor Tengah Selatan berbasis ANFIS pada Platform Mobile di Provinsi NTT Naitboho, Okthen Orlanda; Kertiasih, Ni Ketut; Permana, Agus Aan Jiwa
MASALIQ Vol 5 No 5 (2025): SEPTEMBER
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/masaliq.v5i5.7052

Abstract

The woven fabric from South Central Timor (TTS), East Nusa Tenggara Province, holds significant cultural and symbolic value; however, the influx of similar-patterned fabrics from outside the region presents challenges in authenticity identification, particularly among the general public and younger generations. This study aims to develop a mobile application based on the Adaptive Neuro-Fuzzy Inference System (ANFIS) to detect and classify motifs of TTS woven fabric. Texture feature extraction was conducted using the Gray Level Co-occurrence Matrix (GLCM) method, applying six key parameters: contrast, dissimilarity, homogeneity, energy, correlation, and ASM. The ANFIS model was trained for two types of classification: fabric authenticity (authentic vs. non-authentic), achieving an average accuracy of 87.50%, and regional motif classification (Amanatun, Amanuban, and Mollo), with an accuracy of 78.00%. The application was developed using a prototyping method and integrated with the classification system via FastAPI services. Black-box testing confirmed that all application features functioned as designed, while usability testing using the Usability Metric for User Experience (UMUX) yielded a score of 87.92, indicating a high level of user comfort and ease of use. The study concludes that the ANFIS-based mobile application is effective as a supporting tool in preserving TTS woven fabric through the application of intelligent technology. Keywords: Mobile Application; TTS Woven Fabric; ANFIS; GLCM Texture Extraction; Image Classification
Co-Authors Aan, agus Aan, agus Agus Aan Jiwa Permana BUDHAYASA, I PUTU BUDHAYASA, I PUTU Dinata, I Gede Surya Djoko Kustono Eddy Sutadji Gede Wahyu Purnama Gunawan, I Gede Made Deny Surya I Made Pageh Komang Setemen Lucy Sri Musmini Naitboho, Okthen Orlanda Ni Luh Dewi Sintiari Ni Putu Novita Puspa Dewi Ni Wayan Marti Pracasitaram, Gede Made Surya Bumi Pracasitaram, I Gede Made Surya Bumi Purnomo Putu Hendra Suputra PUTU SUGIARTAWAN Sindu, I Gede Partha Wijaya, I Gede Saputra Wahyu