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All Journal Jurnal Pendidikan Teknologi dan Kejuruan Jurnal Pengabdian Kepada Masyarakat Indonesia
Ida Ayu Mirah Cahya Dewi
Institut Teknologi dan Bisnis STIKOM Bali
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Education Engineering Public Health Social Sciences Other

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Penguatan Kerja Sama Tim dan Literasi Teknologi Robotika Bagi Kalangan Siswa SMA Negeri 2 Kuta di Tengah Transformasi Digital Marvelino Raymond Sakrabentus; Farel Yiantony; Naya Savina Febriyanti; I Nyoman Yuda Sugiantara; Komang Hari Santhi Dewi; Rifky Lana Rahardian; Ida Ayu Mirah Cahya Dewi
Jurnal Pengabdian kepada Masyarakat Indonesia (JPKMI) Vol. 5 No. 2 (2025): Agustus: Jurnal Pengabdian Kepada Masyarakat Indonesia (JPKMI)
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jpkmi.v5i2.7269

Abstract

This community service activity aimed to enhance teamwork skills and exploratory understanding of robotic technology among high school students in responding to the challenges of digital transformation. The activity was conducted at SMA Negeri 2 Kuta as a partner institution, involving 60 students as participants. The implementation was divided into three phases: planning, execution, and evaluation. The method used was project-based training, emphasizing teamwork and hands-on exploration of basic robotic technology. Evaluation was carried out using three main instruments: pre-test and post-test, group performance observation sheets, and student response questionnaires. The results showed that: (1) there was a 67.5% increase in students’ understanding of teamwork, with an average teamwork score of 86 (categorized as very good); (2) students' understanding of robotic technology usage increased by 55.7%, with an average score of 85.05 (categorized as good); and (3) all participants (100%) gave positive responses to the training activities. This activity demonstrates that integrating teamwork training and robotic technology exploration can serve as an effective approach to preparing students for the digital transformation era.
ANALISIS PENGARUH METODE PENGUKURAN JARAK PADA ALGORITMA PSEUDO NEAREST NEIGBOUR RULE UNTUK KLASIFIKASI NODUL PARU I Nyoman Surya Jaya; Ida Ayu Mirah Cahya Dewi; Sang Putu Cetta Suputra Yasa; I Putu Augi Oka Adiana; I Kadek Eri Cahyadi
Jurnal Pendidikan Teknologi dan Kejuruan Vol. 23 No. 1 (2026): Edisi Januari 2026
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jptk-undiksha.v23i1.101659

Abstract

Pulmonary nodules are lumps in the lungs measuring approximately 3 cm that are used as a marker or early symptom for certain lung diseases. This study aims to analyze and compare the accuracy of the Pseudo Nearest Neighbor Rule (PNNR) algorithm using the Euclidean Distance and Manhattan Distance functions in detecting pulmonary nodules in CT scan images. The PNNR classification algorithm is used to reduce the influence of noise or outliers in the classification process so that false positives (predictions of non-nodule objects as nodules) can be reduced. The dataset used is 200 patient data which are then used as training data and test data. In this study, the results of the PNNR classification using the Euclidean Distance method succeeded in obtaining fewer false positives compared to the Manhattan method, namely 284 (5.68 FP/C) while in Manhattan it was 318 (6.36 FP/C). However, the PNNR algorithm using the Euclidean method obtained fewer true positives compared to the Manhattan method, with 32 true positives, while the Manhattan method had 33 true positives. This indicates that the PNNR algorithm using the Euclidean method is good at overcoming false positives but with a lower level of sensitivity or recognition of true positives compared to the Manhattan distance. In further research, classification optimization can be carried out by selecting the feature set used.
Co-Authors Farel Yiantony I Kadek Eri Cahyadi I Nyoman Surya Jaya I Nyoman Yuda Sugiantara I Putu Augi Oka Adiana KOMANG HARI SANTHI DEWI . Marvelino Raymond Sakrabentus Naya Savina Febriyanti Rifky Lana Rahardian Sang Putu Cetta Suputra Yasa