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INDONESIA
Jurnal Satya Informatika
Published by Universitas Satya Negara Indonesia
ISSN : 25285033     EISSN : 29879094     DOI : https://doi.org/10.59134/jsk.v1i02
Core Subject : Science, Education, Social, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Library & Information Science Social Sciences Other
Jurnal Satya Informatika adalah informasi yang menyajikan tentang ilmu pengetahuan dan informasi penelitian atau aplikasi penelitian dan pengembangan terkini yang berhubungan dengan bidang Teknologi Informasi yang ada di Univeritas Satya Negara Indonesia (USNI). Jurnal Satya Informatika merupakan sarana publikasi dan ajang berbagi karya riset dan pengembangan di Fakultas Teknik Universitas Satya Negara Indonesia (USNI).Pemuatan artikel di jurnal ini dapat dikirim ke alamat Penerbit yang tercantum dibawah ini. Informasi lebih lengkap untuk pemuatan artikel tersedia pada halaman terakhir yakni pada pedoman Penulisan Jurnal Ilmiah atau dapat dibaca pada setiap terbitan yang ada pada website OJS Teknik Informatika. Artikel yang masuk akan melalui proses selekasi editor atau mitra bestari. Jurnal ini terbit secara berkala sebanyak 2 (dua) kali dalam setahun yakni Mei dan September, pemuatan naskah tidak dipungut biaya, Jurnal Satya Informatika merupakan Jurnal Khusus untuk menyebarkan Karya Tulis dibidang Informatika.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 143 Documents
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PENGEMBANGAN APLIKASI MEMANGGIL JASA KEBERSIHAN UNTUK MENDUKUNG LAPANGAN KERJA Brydden Abelard; Pualam Dipa Nusantara
JURNAL SATYA INFORMATIKA Vol. 10 No. 2 (2025): JURNAL SATYA INFORMATIKA
Publisher : FAKULTAS TEKNIK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59134/jsk.v10i2.762

Abstract

In today's fast-paced and demanding life, time is very important. The need for cleaning services is becoming increasingly apparent. Balancing work, family and personal commitments often leaves limited time and energy for cleaning our environment. Apart from that, there are also freelance cleaning service workers who need a way to find customers. According to data from the Central Statistics Agency (BPS), freelance workers in Indonesia have reached 34 million people and some of them are freelance workers for cleaning. The aim of this research is to develop a web-based application that can help users find cleaning services and freelancers find customers. The web-based application development used in this research is the waterfall method with the steps: Requirements analysis, Planning, Design, Construct, Deployment and Maintenance. The programming languages used are: PhP, HTML, CSS, and Javascript. The results of this research have successfully developed a web-based application that can help users find cleaning services and freelancers to find customers. From the results of the evaluation of 50 respondents, 96% of them were satisfied.
PENERAPAN CONVOLUTIONAL NEURAL NETWORK PADA PENGENALAN BAHASA ISYARAT INDONESIA SECARA REAL-TIME Maulana, Rifki Ryan; Abdul Kholiq; Edy Widodo
JURNAL SATYA INFORMATIKA Vol. 10 No. 2 (2025): JURNAL SATYA INFORMATIKA
Publisher : FAKULTAS TEKNIK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59134/jsk.v10i2.763

Abstract

Sign language is a form of visual communication used by individuals who are deaf or speech-impaired. However, many people in the general public still lack understanding of sign language, which hinders communication between people with disabilities and their surroundings. This research aims to develop a real-time alphabet translator system for Indonesian Sign Language (BISINDO), implemented as an Android application. The system utilizes a Convolutional Neural Network (CNN) model based on the MobileNetV2 architecture, which is trained to recognize 26 alphabet letters from hand gesture images sized 128x128 pixels in RGB format. The dataset was collected and processed through augmentation and divided into training, validation, testing, and evaluation sets. The model was trained using transfer learning and fine-tuning methods and then converted into TensorFlow Lite (.tflite) format for deployment on Android devices. Evaluation results show that the model achieved an average accuracy of 93% on the evaluation dataset. Testing the Android application also demonstrated good real-time performance in recognizing hand gestures. This application is expected to help bridge communication between people with disabilities and the general public through practical and accessible technology.
EVALUASI AKSEPTABILITAS TEKNOLOGI AI DALAM PERTANIAN BERKELANJUTAN DALAM KERANGKA SDGs 2 Nurhayati
JURNAL SATYA INFORMATIKA Vol. 10 No. 2 (2025): JURNAL SATYA INFORMATIKA
Publisher : FAKULTAS TEKNIK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59134/jsk.v10i2.764

Abstract

Farming on large tracts of land in Indonesia is very difficult. This is because land is already being used for residential areas, which are increasing annually, and industrial development is increasing. Currently, the younger generation in Indonesia is not interested in agriculture, considering that agricultural yields are very low and do not guarantee a future. The existence of artificial intelligence (AI) technology and the assistance of IoT, a network of connected objects within AI, synergizes with each other, resulting in technological discoveries, especially in the agricultural sector, that can help reduce labor and agricultural failure due to natural conditions. This precision farming technology can make a strategic contribution to achieving SDG 2 (Zero Hunger) in the smallholder agricultural sector. This can be summarized in three main pillars: Productivity, Resilience, and Economic Inclusion. Precision farming technology can be formulated as a transformation of human profitability because it goes beyond achieving production figures to improving living standards.

Page 15 of 15 | Total Record : 143

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