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All Journal Jurnal Ilmiah Informatika Komputer TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Kursor Jurnal Transformatika Jurnas Nasional Teknologi dan Sistem Informasi E-Dimas: Jurnal Pengabdian kepada Masyarakat Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer JPM (Jurnal Pemberdayaan Masyarakat) Jurnal BALIRESO Dinamisia: Jurnal Pengabdian Kepada Masyarakat ILKOM Jurnal Ilmiah MIND (Multimedia Artificial Intelligent Networking Database) Journal KOMPUTIKA - Jurnal Sistem Komputer Journal of Information System, Applied, Management, Accounting and Research Celebes Abdimas: Jurnal Pengabdian Kepada Masyarakat Buletin Ilmiah Sarjana Teknik Elektro Indonesian Journal of Data and Science Indian Journal of Forensic Medicine & Toxicology International Journal of Engineering, Science and Information Technology Jurnal PkM (Pengabdian kepada Masyarakat) Caraka : Indonesia Journal of Communication Buletin Sistem Informasi dan Teknologi Islam Ilmu Komputer untuk Masyarakat Celebes Journal of Community Services KOPEMAS Jurnal Balireso: Jurnal Pengabdian pada Masyarakat Journal of Information Technology and its Utilization Linier: Literatur Informatika dan Komputer
Dolly Indra
Universitas Muslim Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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Real-Time BISINDO Alphabet Recognition via Faster R-CNN Incorporating Skin Tone Diversity as a Classification Feature Lilis Nur Hayati; Anik Nur Handayani; Wahyu Sakti Gunawan Irianto; Rosa Andrie Asmara; Dolly Indra; Nor Salwa Damanhuri
Buletin Ilmiah Sarjana Teknik Elektro Vol. 8 No. 3 (2026): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v8i3.15587

Abstract

Indonesian Sign Language (Bahasa Isyarat Indonesia/BISINDO) enables communication for deaf individuals through hand gestures, yet limited public awareness creates significant barriers between deaf and hearing communities. Existing recognition systems often fail to generalize across diverse skin tones, reducing their effectiveness in inclusive real-world deployment. The contribution of this research is a BISINDO alphabet recognition system that integrates skin color features - extracted via HSV-based skin segmentation - as an additional preprocessing layer within the Faster R-CNN framework, explicitly improving detection robustness across varied skin tones. The dataset consists of 8,000 images from ten adult actors representing light, medium-brown, and dark skin tones, augmented through flipping and brightness variation, with a 90:10 training-to-testing ratio. The model was trained over 15,000 steps with a batch size of 24, selected through empirical validation to balance convergence stability and dataset size. Experimental results show that indoor conditions outperform outdoor settings due to controlled lighting. Light-skinned and dark-skinned participants achieved the highest accuracy of 87.5% and F1-score of 85.71%, while medium-brown-skinned participants showed slightly lower performance, likely attributed to greater variability in reflectance under mixed lighting. The system achieves 24 frames per second, demonstrating potential for real-time communication support. These findings confirm that Faster R-CNN with skin color feature integration is effective for BISINDO alphabet recognition, with skin tone diversity being a critical performance factor. Future work will explore larger participant pools and dynamic gesture recognition under varied real-world lighting scenarios.
Analisis Pre-processing Sentimen Terhadap Komentar Layanan Indihome Pada Twitter Achmad Novanto; Dolly Indra; Wistiani Astuti
LINIER: Literatur Informatika dan Komputer Vol 1, No 2 (2024)
Publisher : Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/linier.v1i2.2491

Abstract

Dalam era globalisasi yang terus berkembang, peran teknologi informasi menjadi krusial dalam mengubah cara manusiaberinteraksi dan mengakses informasi. Perusahaan telekomunikasi, seperti PT Telkom Indonesia dengan layanannya,IndiHome, memanfaatkan kemajuan teknologi untuk menyediakan layanan digital berbasis Internet, Telepon Rumah, danTV Interaktif/IPTV. Meskipun sudah menjangkau seluruh Indonesia, pemahaman mengenai kepuasan pengguna terhadaplayanan IndiHome masih perlu diperdalam. Penelitian ini difokuskan pada analisis sentimen pengguna terhadap layananIndiHome melalui media sosial twitter. twitter menjadi platform yang signifikan dalam mengekspresikan pandangan, kritik,dan kepuasan pengguna. Pembatasan karakter dalam setiap cuitan memunculkan gaya bahasa baru, yang memicu kreativitaspengguna. Meski demikian, menganalisis sentimen dari tweet memiliki tantangan tersendiri, terutama karena penggunaankata-kata non-baku dan bahasa informal. Oleh karena itu, pentingnya preprocessing data dalam analisis sentimen menjadifokus utama penelitian ini. Langkah awal dalam penelitian ini bertujuan untuk meningkatkan keberhasilan klasifikasisentimen dengan membersihkan dan normalisasi data tweet. Hasil penelitian diharapkan dapat memberikan wawasan yanglebih akurat mengenai respons pengguna terhadap layanan IndiHome. Melalui langkah-langkah preprocessing yangdilibatkan, penelitian ini menyimpulkan bahwa data yang telah dipersiapkan menjadi lebih siap untuk tahap analisissentimen. Dengan demikian, analisis sentimen dapat memberikan hasil yang lebih relevan dan akurat, membuka peluanguntuk mengambil langkah-langkah strategis terkait dengan polarisasi sentimen yang teridentifikasi.
Pelatihan Kreatifitas Digital Menggunakan Canva Bagi Anggota Karang Taruna Parangloe Dolly Indra; Lilis Nur Hayati; Muhammad Haerdiansyah Syahnur; Wahyu Kadri Rahmat Suat; Muhammad Rifky Saputra Scania
Jurnal Pemberdayaan Masyarakat Vol 9 No 2 (2024): November
Publisher : Direktorat Penelitian dan Pengabdian kepada Masyarakat (DPPM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/jpm.v9i2.10601

Abstract

The community engagement partner for this project is the youth members of Karang Taruna Parangloe, who face challenges due to a lack of digital literacy, particularly in utilizing technology for self-development. This initiative will equip these youth members with graphic design skills using the Canva platform. To achieve this goal, we implemented various approaches, beginning with an initial observation to understand the partner's needs, followed by a session on the importance of digital literacy. After the awareness session, we conducted intensive training in graphic design using Canva. This training was followed by an evaluation session to assess the participants' knowledge improvement. The evaluation was carried out through pretests and posttests with 30 youth members. The training results showed that the trained members of Karang Taruna Parangloe can now independently create graphic designs using Canva. The measurements indicated a significant improvement in their knowledge, with the average pretest score of 66.303 increasing to 82.709 in the posttest, reflecting the effectiveness of this community engagement program.
Pemberdayaan Pengrajin Kana Tojeng Melalui Pemasaran E-Commerce Produk Anyaman Serat Lontara Songko Guru Desa Bontokassi Lilis Nur Hayati; Dolly Indra; Asdar Djamereng; Wahyu Kadri Rahmat Suat; Muhammad Rifky Saputra Scania; Dewi Ernita Rahma
Jurnal Pemberdayaan Masyarakat Vol 10 No 2 (2025): November
Publisher : Direktorat Penelitian dan Pengabdian kepada Masyarakat (DPPM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/jpm.v10i2.12742

Abstract

This community engagement program aims to empower the "Kana Tojeng" craftswomen group in Bontokassi Village, Galesong Selatan District, Takalar Regency, through training in e-commerce-based marketing of woven products made from lontara fiber. The primary issues faced by the partners include limited understanding of digital marketing, lack of an established online business identity, and underutilization of e-commerce platforms. The method applied was an educational-participatory approach, consisting of observation, awareness sessions, hands-on training, and evaluation. The results show a significant improvement in participants' knowledge and skills, with pre-test scores at 50.30% and post-test scores reaching 86.19%. The program also resulted in the activation of e-commerce accounts and enhanced digital marketing capabilities among local artisans. Supporting factors included high participant enthusiasm and contextual learning materials, while limitations in digital infrastructure emerged as the main challenge. This initiative demonstrates that integrating information technology into local business management is an effective strategy for enhancing the competitiveness of culturally rooted products.
Co-Authors Abdul Rachman Manga’ Abdul Rauf Tuasikal Achmad Novanto Agung, Riski Dewa Ahmad Toni, Ahmad Aldri Frinaldi AMALIA PUTRI UTAMI Amir, Nur Hikmah Andi Apryan Mallarangen andi Widya Mufila Gafar Anik Nur Handayani Ardhiansya Yusuf Arfan Zainuddin Armind Mauldi Kurniawan As'ad, Ihwana Asdar Djamereng Astuti, Wistiani Damanhuri, Nor Salwa Daris, Mega Asfirawati Dewi Ernita Rahma Erick Irawadi Alwi Erick Irawadi Alwi Erick Irawadi Alwi, Erick Irawadi Erick, Erick Irawadi Alwi Fadly Achmad Farniwati Fattah Fauzy Fathrurahman Fery Setyo Aji Firman Shantya Budi, Firman Shantya Fitriyani Umar Hadyan Mardhi Fadlillah Harlinda Lahuddin Hayudin Hasnanda Maila Herdianti Herdianti Darwis Herman Herman Hi. Talib, Juraiz Hidayat, Muh Wahyu Huzain Azis Ihwana As’ad Irawati Irawati Irawati Irawati Irja, Mulianty Cipta jabir, sitti rahmah Jufriadif Na`am, Jufriadif Juita Mandasari Julius Santony Kasman Kasman L, Harlinda Lilis Nur Hayati lilis nurhayati Lisna Ariani Lukman Syafie Lutfi Budi Ilmawan Lutfi Budi Ilmawan, Lutfi Budi Manga, Abdul Rachman Manga, Abdul Rachman Mansyur, St. Hajrah Mardiyyah Hasnawi Muh Fadlan Risqullah Dwitama N Muh Yeyen Dwi Suherman Muh. Fachrisyam Muh. Ridwan Rahim Muhammad Al Mubarak Muhammad Arfah Asis Muhammad Farhan Hermansyah Muhammad Haerdiansyah Syahnur Muhammad Rifky Saputra Scania Mukarramah, Rifqatul Musdalifah Musdalifah Mustika, Mustika Octavia Nor Salwa Damanhuri Novanto, Achmad Nurhalima Nurhalima Purnawansyah Purnawansyah Putri Nur Rezky Rahmayani, Nurul Ramadan, Syahril Ramdan Satra Ramdaniah Ramdaniah Rezky Anugrah Rosa Andrie Asmara Salsa, Salsabila Aurelia Satma, Satma St. Hajrah Mansyur Subhan Ardhiman Sugiarti, Sugiarti Sukur, Widianti Syahnur, Muh. Haerdiansyah Syahrul Mubarak Abdullah Tanaka Kazuaki Tasmil Tasmil Tasrif Hasanuddin Tasrif Hasanuddin Taufik, Muhammad Asrai Tenri Sa'nah Umar Mansyur Umar, Fitriyani Veithzal Rivai Zainal Wahyu Kadri Rahmat Suat Wahyu Sakti Gunawan Irianto Wistiani Astuti Yuhandri Yuhandri, Yuhandri Yundari, Yundari Zahra, Andi Fathimatuz Zahra