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All Journal Jurnal Ilmiah Informatika Komputer Jurnal Elemen JMM (Jurnal Masyarakat Mandiri) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Informatik : Jurnal Ilmu Komputer Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal GERVASI: Jurnal Pengabdian kepada Masyarakat Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi G-Tech : Jurnal Teknologi Terapan Aiti: Jurnal Teknologi Informasi REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Jurnal Teknik Informatika (JUTIF) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Journal of Information Technology (JIfoTech) Abditeknika - Jurnal Pengabdian Kepada Masyarakat Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Jurnal Pengabdian Masyarakat Bhinneka Jurnal Informatika dan Multimedia Jurnal Komunikasi, Sains dan Teknologi (JKST) Instink: Inovasi Pendidikan, Teknologi Informasi dan Komputer Blantika : Multidisciplinary Journal Infact: Jurnal Sains dan Komputer Jurnal Pengabdian Masyarakat Indonesia (JPMI) Jurnal Pengabdian Kepada Masyarakat Indonesia
Cahyaningtyas, Christian
Institut Shanti Bhuana
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Pengenalan dan Pelatihan Algoritma Pemrograman Menggunakan Python untuk Siswa SMK Jurusan Teknik Komputer dan Jaringan Mira Pedeng; Christian Cahyaningtyas; Tessa Januarti
Jurnal Pengabdian kepada Masyarakat Indonesia (JPKMI) Vol. 5 No. 3 (2025): Desember: 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.v5i3.8729

Abstract

The rapid development of information and communication technology demands that Vocational High School (SMK) students, particularly those majoring in Computer and Network Engineering (TKJ), master basic programming skills and understand the concept of the Internet of Things (IoT). However, many students still struggle to systematically construct algorithmic logic and understand programming syntax. The Python language, known for its simple syntax, high flexibility, and broad community support, is a suitable alternative for introducing programming basics and practical IoT implementation. This community service activity aims to provide algorithm and programming training using Python, while introducing IoT concepts and practices to students of SMK Negeri 1 Bengkayang. The training was conducted in four stages: preparation, theoretical introduction, practical implementation, and evaluation. Evaluation was conducted with pre- and post-tests to measure the improvement in participants' understanding. The pre-test results showed an average score of 41.54 points, while the post-test increased to 66.67 points. In addition to the improved scores, participants also showed high enthusiasm and provided positive feedback on the interactive and hands-on training method. This activity has had a tangible impact on improving participants' digital literacy and technical skills, and provides an initial foundation for developing competencies in programming and IoT technology. This training also has the potential to be replicated in other schools as a technology-based applied learning model relevant to industry needs
Implementasi Metode CNN Berbasis Transfer Learning dengan Arsitektur MobileNetV2 dalam Klasifikasi dan Pemetaan Tempat Wisata Mira; Cahyaningtyas, Christian; Sari, Maya; Yuliana
Jurnal Ilmiah Informatika Komputer Vol. 30 No. 3 (2025)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/ik.2025.v30i3.56

Abstract

The growth of tourism in the digital era encourages the use of social media as a source of visual data for destination analysis. This study aims to classify and map tourist attractions in West Kalimantan using a transfer learning-based Convolutional Neural Network (CNN) method with the MobileNetV2 architecture. A total of 454 images were collected through web scraping from the Instagram account @enjoykalbar, then through a process of elimination, augmentation, normalization, and manual labeling based on the West Kalimantan Disporapar tourism categories, namely Hills, Beaches, Cascades, Culture, Lakes, Rivers, Caves, and Forests. The dataset was divided into training data (70%), validation (20%), and test (10%). The model was built by freezing the initial layers of MobileNetV2 and adding a classification head, then drilled for 20 epochs using the Adam Optimizer and EarlyStopping and ReduceLROnPlateau callbacks. The training results showed a training accuracy of 95.8%, validation accuracy of 88.1%, and test accuracy of 80%. Further evaluation using the classification report yielded an overall accuracy of 89%, with an average precision of 0.93, a recall of 0.86, and an F1-score of 0.88. The model was then integrated into a category- and coordinate-based interactive mapping system to display the distribution of tourist attractions across 12 districts and 2 cities. The results demonstrate that the CNN transfer learning approach is effective for tourism image classification and supports spatial visualization in tourism promotion and planning.
Co-Authors Danny Manongga Dima, Yansensius Reins Eko Sediyono Eligia Monixa Salfarini Fransiska Ria Fransiska Ria Gregorius Aryo Prasojo Gudiato, Candra Harmoni, Grecia Putri Indrastanti Ratna Widiasari Irwan Sembiring Joss, Mille Kusnanto Kusnanto Manggara, Angga Domeos Maya Sari Maya Sari Maya Sari Mira Mira Mira , Mira Mira Mira Mira Pedeng Novando, Kristian Noviyanti. P Nurcahyo, Azriel Christian Oktoberrikho, Stevanus P, Noviyanti Pery Jayanto Pranata, Devon Surya Prasojo, Gregorius Aryo Purnasari, Pebria Dheni Rendy Sari, Yessi Fatika Silvester Silvester Silvester Silvester, Silvester Sonia Dara Fortunata Sonia Sri Yulianto Joko Prasetyo Tessa Januarti Tesso, Revaldo thomas, santi Totok Victor Didik Saputro Vika Yeremia Niaga Atlantika Yessica Nataliani Yosua Damas Sadewo Yuliana Yuliana , Yuliana Yuliana Yuliana Yuliana Yuliana