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REVIEW : ANALISA DAMPAK LINGKUNGAN DISEKITAR INDUSTRI PETROKIMIA yoga agung prabowo
PETRO: Jurnal Ilmiah Teknik Perminyakan Vol. 10 No. 2 (2021): JUNI
Publisher : Jurusan Teknik Perminyakan Fakultas Teknologi Kebumian dan Energi Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (243.596 KB) | DOI: 10.25105/petro.v10i2.9228

Abstract

ABSTRAK Polusi yang disebabkan oleh aktivitas pengolahan dan pemurnian petrokimia berdampak buruk pada lingkungan mulai dari polusi pada tanah,pembuangan limbah petrokimia dapat mengakibatkan kontaminasi tanah dengan Cd, Cr, Cu, Ni, Pb, V dan Zn di antara kontaminan lain yang berpotensi beracun, polusi udara yang disebabkan oleh uap bensin dan uap petrokimia lainnya,serta polusi yang terjadi pada air yang berpotensi merusak ekosistem air dan seisinya dampak lain yang lebih serius juga terjadi pada manusia yaitu polusi petrokimia bersifat karsinogen penyebab kanker.Polusi petrokimia dapat di kurangi dengan cara pemanfaatan teknologi pengolahan limbah yang efektif sebelum dikeluarkan ke lingkungan.
Serbuk-Penyedap Rasa dari Alam: Ekstrak Kaldu dari Cangkang Udang Segar (L. vannamei) menggunakan Refluk Berbantuan Bromelain Wara Dyah Pita Rengga; Erika Wijayanti; Yoga Agung Prabowo; Shakin Ervita Oktaviyani; Nanik Wijayati; Widya Hary Cahyati
Jurnal Pascapanen dan Bioteknologi Kelautan dan Perikanan Vol 18, No 1 (2023): Juni 2023
Publisher : Politeknik - Ahli Usaha Perikanan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15578/jpbkp.v18i1.909

Abstract

Limbah cangkang udang menimbulkan permasalahan polusi udara dan tumpukan sampah yang dihinggapi lalat. Pemanfaatan cangkang udang yang kaya protein dapat diekstraksi untuk dimanfaatkan sebagai serbuk penyedap rasa. Penelitian ini dilakukan untuk menentukan karakteristik dari filtrat ekstrak cangkang udang segar dan produk serbuk rasa udang, serta menentukan kondisi ekstraksi yang optimal pada penggunaan konsentrasi bromelain dan waktu refluk. Metode yang digunakan untuk pengambilan ekstrak udang dengan cara ekstraksi dengan alat refluk yang dilengkapi dengan pendingin yang terbagi menjadi dua tahap yaitu penambahan larutan garam dan enzim bromelain Gabungan filtrat ekstraksi dianalisis menggunakan GC-MS dan FT-IR. Selanjutnya filtrat diformulasikan menjadi serbuk penyedap rasa udang dengan beberapa bahan tambahan berupa tepung dan rempah-rempah. Selanjutnya, serbuk penyedap rasa dianalisis kadar air dan TEM. Ekstrak cangkang udang segar yang dianalsis mengandung senyawa dimetilamina dan trimetilamina yang merupakan kandungan protein, dengan kadar protein mencapai 28,984%. Selain protein, ekstrak juga mengandung asam lemak cangkang udang. Serbuk penyedap rasa udang yang dihasilkan mempunyai ukuran partikel sebesar 5 s.d 25 nm, dengan kadar air 11,11%. Kondisi operasi optimal ekstraksi protein dengan metode refluk pada kombinasi konsentrasi 2% katalis enzim bromelain pada suhu refluks 55 °C selama 1,5 jam. Ekstraksi menggunakan enzim bromelain secara bertahap memberikan kualitas flavor udang berupa serbuk kandungan protein dan lemak udang yang dipadu menjadi cita rasa spesifik dengan ukuran nanometer. AbstractShrimp shell waste causes air pollution problems and piles of garbage that flies infest. The utilization of shrimp shells rich in protein can be extracted to be used as flavouring powder. This research was conducted to determine the characteristics of fresh shrimp shell extract filtrate and shrimp flavour powder product and the optimal extraction conditions using bromelain concentration and reflux time. The method used for extracting shrimp extract through extraction with a reflux tool equipped is divided into two stages adding a salt solution and bromelain enzyme. The mixed filtrate was analyzed using GC-MS and FT-IR. The filtrate is formulated into shrimp flavouring powder with some additional ingredients in the form of flour and spices. The flavouring powder was analyzed for water content and TEM. The fresh shrimp shell extracts analyzed containing dimethylamine and trimethylamine compounds which are protein content, with protein content reaching 28.984%. In addition to protein, the extract also contains fatty acids in shrimp shells. The resulting shrimp flavouring powder has a particle size of 5 to 25 nm, with a moisture content of 11.11%. Optimal operating conditions for protein extraction by reflux were method at a combined concentration of 2% bromelain enzyme catalyst at a reflux temperature of 55°C for 1.5 hours. Extraction using bromelain enzymes gradually gives shrimp flavour as a powder containing shrimp protein, combined into a specific taste with nanometer size.
Sign Language Detection Application to Facilitate Communication for Speech and Hearing Impaired Individuals Based on Computer Vision Technology Using Inception Resnetv2 Arief Arfriandi; Yoga Agung Prabowo; Moh Dafi Najuda; Tri Anggi Ratna Puspita; Shakira Wahyu Virnanda; Said Sunardiyo
Rekayasa : Jurnal Penerapan Teknologi dan Pembelajaran 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.