Article Per Year (5 Year)
p-Index From 2021 - 2026
0.702
P-Index
This Author published in this journals
All Journal Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Komputer Indonesia Jurnal Pengabdian Mandiri
Made Adi Paramartha Putra
Primakara University
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Law, Crime, Criminology & Criminal Justice Social Sciences

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Implementation Of AI Technology As An Innovative Learning Medium At SMK Dwijendra Denpasar: Training On Prompting And The Use Of AI-Based Media For Grade XI And XII Students Ida Bagus Kresna Sudiatmika; Made Adi Paramartha Putra
Jurnal Pengabdian Mandiri Vol. 3 No. 1 (2026): Juni
Publisher : Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70963/mandiri.v3i1.1620

Abstract

The ability to utilize artificial intelligence (AI) technology is a crucial competency that young people must possess in the digital era. This community service activity aims to implement prompting training and the use of AI-based media for grade XI and XII students of SMK Dwijendra Denpasar from three departments: Computer and Network Engineering (TKJ), Accounting, and Hospitality. The implementation methods include interactive workshops, hands-on practice, and problem-based projects. A total of 87 students from the three departments actively participated in this program. The results show an increase in prompting ability by 93.7% and AI-based media usage ability by 130.0% after the training. Students also demonstrated significant improvement in confidence in using AI technology for learning and work purposes. This program proves that structured and contextual AI training is effective in improving the digital skills of SMK students across department.
IMPLEMENTASI MONITORING DAN OTOMATISASI PADA GREENHOUSE BERBASIS IOT MENGGUNAKAN FIREBASE DAN ANTARMUKA WEB I Gusti Ngurah Nova Herdiana Sugiartha; Made Adi Paramartha Putra; Putu Trisna Hady Permana
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 8 No 2 (2026): EDISI 28
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v8i2.6849

Abstract

Greenhouse merupakan metode pertanian modern yang digunakan dalam pembudidayaan tanaman. Di Persemaian Sandira Agro Mandiri, pemantauan kondisi greenhouse masih dilakukan secara manual, sehingga menyulitkan petani memperoleh informasi secara real-time mengenai keadaan tanaman. Penelitian ini bertujuan menawarkan solusi terhadap permasalahan pemantauan manual tersebut dengan mengembangkan sistem berbasis Internet of Things (IoT) menggunakan metode Extreme Programming dan pengujian Blackbox testing. Sistem dikembangkan menggunakan mikrokontroler ESP32 yang terhubung dengan sensor kelembaban tanah, sensor suhu DS18B20, relay, dan LCD. Data dari sensor disimpan di Firebase dan dapat dipantau secara real-time melalui website. Hasil implementasi menunjukkan sistem mampu membaca data sensor, mengotomatisasi penyiraman berdasarkan nilai kelembaban tanah, memantau suhu sekitar greenhouse, serta memberikan kontrol manual melalui website. Penelitian ini diharapkan dapat dikembangkan lebih lanjut untuk meningkatkan efisiensi dan akurasi pemantauan greenhouse sesuai kebutuhan pengguna.
IMPLEMENTASI IOT UNTUK SISTEM ABSENSI CERDAS BERBASIS WEBSITE PADA LPD DESA PAKRAMAN TENGKULAK KELOD Kadek Angga Palguna; Made Adi Paramartha Putra; Putu Trisna Hady Permana
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 8 No 1 (2026): EDISI 27
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v8i1.6801

Abstract

Lembaga Keuangan Mikro memainkan peranan penting dalam mendukung perekonomian masyarakat dan pemberdayaan usaha kecil, salah satunya adalah Lembaga Perkreditan Desa (LPD) yang berkontribusi besar dalam pembangunan ekonomi pedesaan. LPD Desa Pakraman Tengkulak Kelod menghadapi kendala dalam penerapan sistem absensi manual yang kurang efisien dan sulit dipantau secara real-time. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem absensi cerdas berbasis Internet of Things (IoT) dengan menggunakan teknologi RFID dan ESP32-CAM. Sistem ini dirancang untuk mengidentifikasi kehadiran karyawan secara otomatis, merekam data melalui Firebase, serta menyediakan akses dan pemantauan melalui website oleh admin. RFID digunakan sebagai alat identifikasi, sementara ESP32-CAM memungkinkan pengambilan gambar real-time. Hasil implementasi menunjukkan bahwa sistem ini berjalan sesuai dengan tujuan yang diharapkan dan dapat menjadi solusi yang tepat bagi LPD dalam mempermudah proses absensi. Diharapkan sistem ini dapat dikembangkan lebih lanjut dan diadaptasi oleh lembaga serupa sesuai dengan kebutuhan operasional masing-masing.
Citation-Enhanced Retrieval-Augmented Generation For Automated Scientific Literature Review: A Novel Multi-Factor Ranking Approach Ida Bagus Kresna Sudiatmika; Made Adi Paramartha Putra
Jurnal Komputer Indonesia Vol. 5 No. 1 (2026): Maret
Publisher : Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jki.v5i1.1618

Abstract

Scientific literature review is a fundamental process in academic research that requires significant time and effort. This study proposes a novel framework that combines Retrieval-Augmented Generation (RAG) with Citation-Enhanced mechanisms and a Multi-Factor Ranking algorithm to automate the scientific literature review process intelligently and accurately. The proposed approach integrates three main components: (1) semantic-based document retrieval module using dense vector embeddings, (2) a citation augmentation system that analyzes citation networks between scientific papers, and (3) a multi-factor ranking algorithm that considers semantic relevance, citation impact, publication recency, and author authority. Experiments were conducted on the S2ORC (Semantic Scholar Open Research Corpus) dataset containing over 200,000 scientific papers across various domains. Evaluation using ROUGE-L, BLEU-4, BERTScore, and Citation F1 metrics demonstrates that the proposed approach yields significant improvements over conventional RAG methods. The proposed system achieves a ROUGE-L score of 0.612 and BERTScore of 0.847, improving by 8.3% and 6.1% respectively compared to standard RAG baseline. The results demonstrate that integrating citation information in the retrieval and text generation process substantially enhances the quality, accuracy, and completeness of automatically generated literature reviews.
Co-Authors I Gusti Ngurah Nova Herdiana Sugiartha Ida Bagus Kresna Sudiatmika Kadek Angga Palguna Putu Trisna Hady Permana Putu Trisna Hady Permana