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Roseline
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Arts Humanities Languange, Linguistic, Communication & Media Social Sciences

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Meneropong aktivisme digital akun @rahasiagadis melalui kajian komunikasi bermediasi komputer Lasmery RM Girsang; Roseline
Jurnal Studi Komunikasi Vol. 8 No. 3 (2024)
Publisher : Faculty of Communications Science, Dr. Soetomo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25139/jsk.v8i3.9147

Abstract

The digital era has made social media a powerful platform for social activism. One issue that is increasingly getting attention is the issue of sexual violence against women. The issue of sexual violence is one of the many issues that is of public concern because the number of acts of sexual violence is increasing along with. There were 4280 cases of sexual violence that occurred in Indonesia throughout 2023 (data collected by the Indonesia Ministry of Women's Empowerment and Child Protection). To understand this phenomenon, researchers targeted Instagram which actively highlights the issue of sexual violence that occurs in the realm of digital activism on social media. The Instagram account @rahasiagadis uses their social media platform to carry out digital activism, specifically focusing on highlighting the issue of sexual violence against women. By virtual ethnography (netnography), data collection was carried out through interviews with seven informants from @rahasiagadis and online observations (from May to August 2023) to observe the content uploaded, responses from followers, and comments that describe the involvement and views of the community on the issue of sexual violence and after that the interview data was documented verbatim. Meanwhile, data analysis relies on triangulation. By integrating a gender perspective by paying special attention to women's ways, the results of the study (which will be implications for future gender studies and digital activism) show that @rahasiagadis has succeeded in creating an active virtual community and building CMC usage goals that encourage meaningful participation and meet the psychosocial needs of followers.
ENSEMBLE ALGORITMA RANDOM FOREST CLASSIFIER DAN ADABOOST DALAM PERANCANGAN APLIKASI PENERJEMAH BAHASA ISYARAT Andi, Andi; Ong, Rezeki Ongsa; Thamrin; Roseline
Jurnal TIMES Vol 14 No 1 (2025): Jurnal TIMES
Publisher : STMIK TIME

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51351/jtm.14.1.2025832

Abstract

Penelitian ini mengembangkan aplikasi penerjemah bahasa isyarat berbasis web yang bertujuan untuk memudahkan komunikasi bagi penyandang disabilitas tunarungu. Aplikasi ini menggunakan ensemble algoritma Random Forest Classifier dan AdaBoost untuk mendeteksi dan menerjemahkan gestur tangan ke dalam teks secara real-time. Dataset yang digunakan bersifat lokal, dengan masing-masing gestur terdiri dari 100 citra data latih. Sistem ini dirancang untuk mengenali huruf A hingga Z serta beberapa kata umum seperti "hello", "done", "thank you", "I love you", "sorry", "please", dan "you are welcome". Hasil pengujian terhadap 14 skenario menunjukkan bahwa aplikasi berhasil menerjemahkan dengan tingkat akurasi sebesar 92%, sementara pengujian model mencatat akurasi testing sebesar 99,88%, lebih tinggi dibandingkan penggunaan Random Forest tunggal yang hanya mencapai 97,00%. Peningkatan akurasi sebesar ±2,97% menunjukkan bahwa kombinasi algoritma tersebut efektif dalam meningkatkan performa dan kestabilan sistem. Aplikasi ini diharapkan dapat membantu penyandang tunarungu berkomunikasi lebih efektif, meningkatkan aksesibilitas informasi, serta mendorong pengembangan teknologi di bidang penerjemahan bahasa isyarat.
Co-Authors Andi Andi Girsang, Lasmery Rosentauly Meissalinya Rezeki Ongsa Thamrin