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All Journal TEKNIK INFORMATIKA Jurnal Sistem Komputer & Kecerdasan Buatan Komunita: Jurnal Pengabdian dan Pemberdayaan Masyarakat
Aris Gunaryati
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Environmental Science Public Health Social Sciences

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BIOMETRIK POLA SUARA DENGAN JARINGAN SARAF TIRUAN Ina Agustina; Fauziah Fauziah; Aris Gunaryati
JURNAL TEKNIK INFORMATIKA Vol 9, No 2 (2016): Jurnal Teknik Informatika
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (428.163 KB) | DOI: 10.15408/jti.v9i2.5605

Abstract

ABSTRAK Metode  yang  digunakan  dalam  penelitian  ini  adalah  biometrik  pengenalan  identitas  berdasarkan karakteristik fisik. Pengenalan pola suara biometrik yang memiliki biaya rendah. Penelitian ini merancang pola penggunaan suara biometrik. sinyal input suara dalam bentuk suara yang direkam dengan durasi sekitar dua (2) detik pada sistem dan sinyal dekomposisi menggunakan transformasi wavelet diskrit. sistem verifikasi menggunakan ekstraksi karakteristik Koefisien Sub Band berdasarkan parameter cepstral (SBC) dengan menggunakanjumlah  koefisien 12. Kata  kunci: Biometrik, pola suara, transformasi wavelet, jaringan saraf
Hybrid Exponential Smoothing Neural Network untuk Peramalan Data Pengguna Pita Lebar di Indonesia Aris Gunaryati; Fauziah Fauziah; Septi Andryana
Jurnal SISKOM-KB (Sistem Komputer dan Kecerdasan Buatan) Vol. 2 No. 2 (2019): Volume II - Nomor 2 - Maret 2019
Publisher : Teknik Informatika

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Abstract

The country of Indonesia has a huge opportunity to realize the potential for broadband users because the population growth rate is high and internet users are increasing each year. For this reason, acceleration is needed in providing telecommunications services and infrastructure that can increase internet access for users. To find out the estimated number of broadband users in the future, in this study proposed a hybrid exponential smoothing neural network forecasting model. By combining these methods, it is possible to take advantage of the forecasting technique of each while overcoming their drawbacks. This study showed that the RMSE value of hybrid model is 29.86% lower than that of the non hybrid. The MAPE value of hybrid model is 99.93% lower than that of the non hybrid model and the MAE value of hybrid model is 38.52% lower than that of the non hybrid model.
Analisis Perbandingan Algoritma Jaringan Syaraf Tiruan pada Proses Identifikasi Gerak Bahu Fauziah Fauziah; Aris Gunaryati; Septi Andryana; Ira Diana Sholihati
Jurnal SISKOM-KB (Sistem Komputer dan Kecerdasan Buatan) Vol. 3 No. 1 (2019): Volume III - Nomor 1 - September 2019
Publisher : Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (70.372 KB)

Abstract

The research related to the analysis of Range of Motion on human movements continues to evolve along with the development of image processing techniques related to human motion can be used to assess the motion done whether it is appropriate. The stage among others is to perform motion acquisition and then convert motion video into multiple image frames. The second phase performs the image processing process consisting of the development phase segmentation algorithm, consisting of background subtraction, grayscale, filtering, threshold, dilation, erosion to silhouette formation. Artificial Neural Network is a concept of learning used and implemented using computer programs and able to complete many calculation processes during the learning process and is system Information processors that have similar characteristics to the human neural network. Results of calculations made from neural network algorithms get an accuracy value of 92.67% using Back propagation of neural networks and 68.13% using; a radialbased neural network function to determine 3 motions are adduction, hyperextension, and extension. DOWNLOAD FILE : FULL TEXT
Pemberdayaan Petani Kopi Manggarai Timur melalui Optimisasi Pemasaran Berbasis Website Interaktif Andryana, Septi; Teddy Mantoro; Ben Rahman; Aris Gunaryati; Mohammad Iwan Wahyuddin; Abdul Rahman Wijaya Putra
KOMUNITA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 4 No 3 (2025): Agustus
Publisher : PELITA NUSA TENGGARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60004/komunita.v4i3.223

Abstract

Indonesia is one of the world's leading coffee producers, offering a wide variety of flavors and characteristics across its regions, including the eastern part of the archipelago. One promising area is Rende Nao Village, located in Lamba Leda Timur District, East Manggarai Regency, which is known for its Colol coffee. Despite its high quality and strong market potential, the use of digital media for marketing remains limited. The East Manggarai Coffee Farmers Association (ASNIKOM) has established an official website; however, low levels of digital literacy and ineffective content management hinder efforts to expand market reach and build a strong digital product identity. In response to these challenges, this community engagement program was conducted to introduce the concept of an interactive website as an initial strategy to enhance the digital marketing capacity of local coffee farmers. The program employed a participatory and educational approach, involving discussions, needs assessments, and demonstrations of basic website features. Rather than focusing on advanced technical training, the initiative emphasized conceptual understanding and content planning based on local input. As a result, the program increased awareness of the potential of digital marketing and led to the development of an initial strategy for ASNIKOM’s website, laying the foundation for strengthening farmers’ digital competencies as an adaptive step toward sustainable and technology-based coffee marketing practices.
Co-Authors Abdul Rahman Wijaya Putra Ben Rahman Fauziah Fauziah Ina Agustina Ira Diana Sholihati Mohammad Iwan Wahyuddin Septi Andryana Teddy Mantoro