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Pelatihan Pengolahan Sampah Organik Menjadi Kompos bagi Warga Desa Karimunjawa RT03/RW02 Wikandaru, Achmad; Sihaloho, Rossy Cecylia; Puspita, Tri Anggi Ratna; Novitasari, Pingky Yogi; Sania, Khafi Ida
Jurnal Pengabdian Masyarakat Bangsa Vol. 2 No. 8 (2024): Oktober
Publisher : Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/jpmba.v2i8.1509

Abstract

Penumpukan sampah organik di Desa Karimunjawa, khususnya di RT 03/RW 02, telah menjadi permasalahan serius yang mengganggu kesehatan lingkungan dan kenyamanan warga. Sebagai solusi, mahasiswa Kuliah Kerja Nyata Tematik (KKNT) Teknik Kimia Universitas Negeri Semarang menginisiasi program pengabdian masyarakat berupa pelatihan pengolahan sampah organik menjadi kompos. Pelatihan ini bertujuan untuk meningkatkan pengetahuan dan keterampilan warga dalam mengelola sampah organik secara mandiri. Metode yang digunakan adalah pembuatan kompos padat menggunakan compost bag dan larutan bioaktivator EM-4 yang dipadukan dengan molase untuk mempercepat proses dekomposisi. Hasil dari kegiatan ini menunjukkan partisipasi aktif dari peserta, dengan peningkatan pemahaman yang signifikan terkait proses pengomposan berdasarkan hasil post-test. Pelatihan ini juga memberikan solusi praktis bagi masyarakat untuk mengurangi volume sampah dan menghasilkan pupuk kompos yang bermanfaat bagi pertanian serta penghijauan lokal, sehingga mendukung terciptanya lingkungan yang lebih bersih dan berkelanjutan.
Sign Language Detection Application to Facilitate Communication for Speech and Hearing Impaired Individuals Based on Computer Vision Technology Using Inception Resnetv2 Arfriandi, Arief; Prabowo, Yoga Agung; Najuda, Moh Dafi; Puspita, Tri Anggi Ratna; Virnanda, Shakira Wahyu; Sunardiyo, Said
Rekayasa Vol. 20 No. 2 (2022)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/rekayasa.v20i2.19433

Abstract

Communication is a fundamental human need, yet not everyone possesses perfect communication abilities. People Communication is a fundamental human need, yet individuals with speech and hearing impairments face challenges due to the limited understanding of sign language among the general public. This study applies Artificial Intelligence and Computer Vision to enhance communication accessibility by detecting hand gestures and converting them into text. The lack of real-time sign language translation remains a barrier for individuals with disabilities. Existing systems often struggle with accuracy and device compatibility. This research develops and evaluates HARDISC, an Android-based application that recognizes letters A–Z through hand movement detection using a camera. The goal is to provide an effective and inclusive communication tool for the speech and hearing impaired. HARDISC utilizes Transfer Learning with Inception ResNetV2 and VGG16 for gesture classification. Image processing enables the camera to detect and translate hand movements into text. Model evaluation was based on accuracy, loss values, and device compatibility. Results show Inception ResNetV2 achieved 98.98% accuracy with a 0.0417 loss value, while VGG16 recorded 99.40% accuracy with a 0.0146 loss value, demonstrating high performance. HARDISC is compatible with Android KitKat 4 to Android 12, ensuring accessibility. This application provides an innovative, real-time solution to bridge communication gaps for individuals with speech and hearing impairments, improving their interaction with the general public.