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All Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurnal Computer Science and Information Technology (CoSciTech)
Raynold, Raynold
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Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Deep Learning Deteksi Dan Klasifikasi Penyakit Daun Tomat Menggunakan ResNet-50 Raynold, Raynold; Alva Hendi Muhammad
Computer Science and Information Technology Vol 6 No 1 (2025): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v6i1.8501

Abstract

Tomatoes are a popular food around the world, especially in Indonesia. Many tomato farmers experience crop failure due to lack of understanding and delays in recognizing diseases that attack their plants. The purpose of this study is to identify and assess the types of diseases on tomato leaves based on trends, data sources, methodologies, and characteristics used in detecting diseases on tomato leaves. The dataset used is sourced from kaggle consisting of 10 classes and contains a total of 11,000 images. The data division used consists of 90% training data and 10% test data. The augmentation and fine-tuning process is carried out to reduce over fitting. This research uses the ResNet-50 algorithm to detect and classify diseases on tomato leaves. ResNet will compare leaf images to classify them with 10 disease classes in the dataset. From the ResNet method, the average accuracy value is 93%. This shows that the ResNet-50 method for image classification can produce accurate accuracy in solving real-world problems
Development of an IoT-Based Smart Cane with Non-Invasive Health Monitoring for Elderly Care in Batam Putera, Dimas Akmarul; Adi, Roni; Kurniawan, Dwi Ely; Leman, Abdul Mutalib; Raynold, Raynold
Journal of Applied Informatics and Computing Vol. 9 No. 5 (2025): October 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i5.11107

Abstract

The rapid growth of the elderly population requires assistive technologies that support mobility, health, and safety. This study presents the development of an IoT-based smart cane designed to enhance elderly independence and health monitoring in Batam, Indonesia. The prototype integrates non-invasive health sensors (MAX30102 for heart rate and SpO₂, MLX90614 for temperature, and a non-invasive glucose sensor), a GPS module, a mini-CCTV with two-way audio, and a solar-powered energy system, all controlled by an ESP32 microcontroller connected to the Blynk IoT platform. Ergonomic design was guided by anthropometric data of Indonesian elderly to ensure user comfort and usability. Experimental results demonstrated stable performance of the integrated modules. Heart rate values ranged from 86–103 BPM (mean 89.5 ± 6.2 BPM), blood glucose estimations from 110–112 mg/dL (mean 111 ± 0.9 mg/dL), and body temperature from 36.9–37.1 °C (mean 37.0 ± 0.1 °C), all of which aligned closely with clinical references. Oxygen saturation readings, however, averaged 89 ± 0.8%, slightly below the clinical norm (≥95%), highlighting the need for sensor calibration. Dynamic testing of the GPS module across a 500-meter route achieved positional accuracy within 3–5 meters, while the CCTV system successfully streamed live video but was dependent on WiFi stability.The novelty of this research lies in the unique combination of locally adapted ergonomic design, multi-sensor non-invasive health monitoring, two-way visual and audio communication, GPS tracking, and renewable energy integration within a single portable device. These contributions not only enrich IoT-based healthcare research but also provide practical solutions tailored to elderly care in Indonesia. Future work will focus on clinical-grade validation of sensors, extended field trials, and the integration of predictive analytics using Machine Learning and Fuzzy Logic.
Optimalisasi pemasaran digital hasil laut melalui pemanfaatan TikTok bagi nelayan tradisional Lestari, Dewi; Bahri, M. Irvanni; Siswanto, Heri; Nasution, Nadia Widari; Rifdah, Adelya; Raynold, Raynold; Adi, Roni; Akbar, Radheksa Bintang
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 10, No 1 (2026): February (In Progress)
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v%vi%i.37831

Abstract

AbstrakKegiatan pengabdian ini bertujuan meningkatkan kemampuan anggota Kesatuan Nelayan Tradisional Indonesia (KNTI) Kecamatan Sekupang, Kota Batam, dalam memasarkan hasil laut melalui platform digital, khususnya TikTok. Metode kegiatan meliputi workshop pemasaran digital, pelatihan teknis pembuatan akun dan konten, serta pendampingan praktik live selling. Hasil kegiatan menunjukkan peningkatan pemahaman peserta terhadap pemasaran digital, kemampuan membuat konten promosi, serta kepercayaan diri dalam melakukan penjualan langsung kepada konsumen. Faktor pendukung keberhasilan meliputi antusiasme peserta, dukungan pengurus KNTI, kesesuaian materi, serta praktik langsung dengan pendampingan intensif, sedangkan faktor penghambat meliputi perbedaan literasi digital, keterbatasan perangkat, dan kualitas jaringan internet. Kegiatan ini memberikan dasar bagi pengembangan pemasaran digital secara berkelanjutan dan peningkatan nilai tambah hasil laut bagi nelayan tradisional. Kata Kunci: nelayan tradisional; tiktok; pemasaran digital; live selling; hasil laut. AbstractThis community service activity aims to improve the skills of members of the Indonesian Traditional Fishermen's Union (KNTI) in Sekupang District, Batam City, in marketing seafood through digital platforms, specifically TikTok. The activity included a digital marketing workshop, technical training on account and content creation, and live selling practice mentoring. The results demonstrated an increase in participants' understanding of digital marketing, their ability to create promotional content, and their confidence in selling directly to consumers. Supporting factors for success included participant enthusiasm, support from KNTI administrators, appropriate materials, and hands-on practice with intensive mentoring. While inhibiting factors included differences in digital literacy, limited devices, and internet connection quality. This activity provides a foundation for the sustainable development of digital marketing and increases the added value of seafood for traditional fishermen. Keywords: traditional fishermen; tiktok; digital marketing; live selling; seafood.
Co-Authors Adi, Roni Akbar, Radheksa Bintang Alva Hendi Muhammad Bahri, M Irvanni Dewi Lestari Dimas Akmarul Putera Dwi Ely Kurniawan Heri Siswanto Leman, Abdul Mutalib Nasution, Nadia Widari Rifdah, Adelya