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All Journal Jurnal Mutiara Elektromedik International Journal of Scientific and Professional Journal of Social Sciences and Technology for Community Service Jurnal Komputasi
Ruswita, Istiana
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Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Medicine & Pharmacology Nursing Public Health Other

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Pelatihan Pemanfaatan Gemini AI dalam Pembuatan Aplikasi Mobile untuk Guru TIK Lampung Selatan Muhaqiqin; Zainudin, Mohamad; Sholehurrohman, Ridho; Sabda Ilman, Igit; Wartariyus; Amalia Praptiwi, Riska; Ruswita, Istiana
Journal Social Science And Technology For Community Service Vol. 6 No. 2 (2025): Volume 6, Nomor 2, September 2025
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jsstcs.v6i2.860

Abstract

This community service activity aimed to enhance the digital literacy and skills of ICT teachers in South Lampung in developing educational mobile applications using Gemini AI, given that most teachers had not mastered application programming or the use of AI in teaching. The offline training, held on July 27, 2025, at SMA Negeri 1 Kalianda, involved 25 ICT teachers and integrated practical-based training, the diffusion of Gemini AI science and technology, and intensive technical assistance. The material covered basic AI concepts, Gemini AI implementation with Android Studio Cloud, and practical prototype development for applications like practice questions and ICT dictionaries. As a result, 92% of participants found the training very helpful, and teachers successfully created AI-based application prototypes. This activity successfully improved teachers' literacy and skills, demonstrating their significant potential in developing learning technology. Further training with gradual difficulty levels, increased practice time, and program expansion are recommended to strengthen the digital learning ecosystem.
Web-Based Educational Platform for Diseases and Drugs using a Large Language Model (LLM) Qisthiano, M Riski; Ruswita, Istiana; Prayesy, Putri Armilia
International Journal Scientific and Professional Vol. 5 No. 1 (2026): December 2025 - February 2026
Publisher : Yayasan Rumah Ilmu Professor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56988/chiprof.v5i1.150

Abstract

This study presents the development of a web-based educational platform leveraging a large language model (LLM) to provide general information on diseases and medications. The platform integrates a curated database of diseases and drugs with the LLM via retrieval-augmented generation. When users enter a disease or drug name, the system retrieves relevant data and uses it as context for the LLM to produce concise responses in a friendly, accessible style. The application is built using native PHP with a MySQL backend and Bootstrap for responsive design. Safety features such as a mandatory disclaimer and filters for emergency conditions ensure that the chatbot does not offer diagnostic or prescriptive advice. Expert reviews indicated that the model-generated content aligned well with the database, and user testing showed high satisfaction with clarity and usability. These results demonstrate that combining structured medical data with a modern LLM can improve public access to reliable health education while maintaining ethical boundaries.
Analisis Sentimen Ulasan Digital Menggunakan Naive Bayes dan Pengaruhnya terhadap Keputusan Calon Tamu: Studi Kasus Hotel Santika Premiere Bandara Palembang Ruswita, Istiana; Ibrahim, M. Yhogha Ismail Ibn
Jurnal Komputasi Vol. 14 No. 1 (2026)
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v14i1.350

Abstract

Perkembangan teknologi informasi meningkatkan peran ulasan digital sebagai referensi utama dalam pengambilan keputusan pemesanan hotel. Penelitian ini bertujuan untuk menganalisis sentimen ulasan digital menggunakan metode Naive Bayes serta menguji pengaruhnya terhadap keputusan calon tamu pada Hotel Santika Premiere Bandara Palembang. Data penelitian terdiri dari 15.463 ulasan yang diperoleh dari Google Review dan Traveloka, serta responden kuesioner yang pernah membaca ulasan sebelum melakukan pemesanan. Tahapan penelitian meliputi preprocessing teks, klasifikasi sentimen, dan analisis regresi linier. Hasil menunjukkan bahwa 73,3% ulasan tergolong positif dengan tingkat akurasi model sebesar 88,2%. Analisis regresi menunjukkan bahwa sentimen ulasan digital berpengaruh positif dan signifikan terhadap keputusan calon tamu (p < 0,05) dengan koefisien determinasi (R²) sebesar 0,458. Temuan ini menegaskan bahwa reputasi digital berbasis e-WOM berperan penting dalam membentuk kepercayaan dan niat pemesanan, serta dapat dimanfaatkan sebagai dasar pengambilan keputusan manajerial berbasis data di industri perhotelan.
PERANCANGAN DAN IMPLEMENTASI SISTEM PENGHITUNG TETESAN CAIRAN INFUS BERBASIS NODE MCU Ruswita, Istiana; Afdhaluddin, Muhammad; Syaputra, Wahyudi
JURNAL MUTIARA ELEKTROMEDIK Vol. 9 No. 1 (2025): Jurnal Mutiara Elektromedik
Publisher : Prodi Teknik Elektromedik Universitas Sari Mutiara Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Infusion pump merupakan perangkat medis kategori life support yang berfungsi mengalirkan cairan atau obat ke tubuh pasien dengan laju aliran (flow rate) yang terkontrol. Mengingat keterbatasan tenaga medis dalam memantau secara manual, diperlukan alat otomatis yang mampu menghitung volume cairan dan mengatur waktu pemberian secara presisi. Penelitian ini menggunakan pendekatan desain instrumen pada alat infusion pump. Hasil pengujian menunjukkan adanya selisih antara nilai pengaturan dan hasil aktual, yaitu 0,005% untuk 20 tts/jam, 0,25% untuk 40 tts/jam, dan 0,16% untuk 60 tts/jam. Selisih ini dipengaruhi oleh akurasi komponen dan penyempurnaan sistem pemrograman. Oleh karena itu, disarankan agar perancang alat, khususnya di bidang elektromedis, lebih memperhatikan pemilihan komponen dan standar prosedur teknis agar alat yang dikembangkan memenuhi standar klinis dan keselamatan pasien.
Co-Authors Afdhaluddin, Muhammad Amalia Praptiwi, Riska Ibrahim, M. Yhogha Ismail Ibn Muhaqiqin Putri Armilia Prayesy Qisthiano, M Riski Sabda Ilman, Igit Sholehurrohman, Ridho Syaputra, Wahyudi Wartariyus Zainudin, Mohamad