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Hartati, Etih
Institut Teknologi Nasional Bandung
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Medicine & Pharmacology Nursing Public Health

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Systematic Literature Review Penelitian Hydrothermal Cangkang Telur Ayam dengan Analisis Bibliometrik Menggunakan Software VOSviewer Agusty, Muhammad Naufal; Etih Hartati; Djaenudin; Herlian Eriska Putra
Jurnal Serambi Engineering Vol. 11 No. 1 (2026): Januari 2026
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Food waste management is a global challenge that encourages the application of the circular economy concept through resource reuse. Chicken eggshell waste has the potential to be used as a renewable source of calcium, while hydrothermal processing is a promising method for converting it into value-added products. This study aims to map the development of hydrothermal processing research on chicken eggshell waste through a bibliometric analysis of 75 Scopus-indexed publications from 2019 to 2024. The results of the analysis show that China is the country with the highest number of publications. Co-authorship analysis identified 27 collaborating authors, with Zhang, X., Yin, J., and Wang, I. as the main authors. The most dominant keywords were “hydroxyapatite,” “hydrothermal method,” and “calcium.” This study shows that hydrothermal research focuses on the development of calcium-based biomaterials and nanomaterials and opens up opportunities for further research on the sustainable use of chicken eggshell waste.
Real-time deep neural network-based waste detection and classification using a camera sensor Darlis, Arsyad Ramadhan; Lidyawati, Lita; Kristiana, Lisa; Hartati, Etih; Trisani, Faradilla Rizqi
SINERGI Vol 30, No 1 (2026)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2026.1.019

Abstract

Waste generation is a growing environmental concern, with manual sorting methods often being inefficient and error-prone, particularly under varying lighting and environmental conditions. In Indonesia, waste is typically categorized into organic and nonorganic, yet existing automated classification systems lack real-time capabilities and robustness in dynamic settings. This study proposes a novel real-time waste detection and classification system using a deep neural network, implemented on the Jetson Nano platform with a camera sensor. The system utilizes the ResNet-18 convolutional neural network architecture and is developed using Python. It is designed to distinguish between organic and nonorganic waste in real-time. Training was conducted over 30 epochs, and the system was tested under various lighting conditions—morning, daytime, afternoon, and nighttime. Results show high accuracy: 95.24% in the morning, 95.24% during the day, 90.45% in the afternoon, and 86.90% at night, with an average accuracy of 91.96%. Performance was influenced by factors such as lighting intensity, distance, waste position, changes in organic waste, and occlusion by plastic. The proposed system offers a significant improvement over traditional and existing methods by enabling accurate, real-time waste classification under diverse conditions, contributing to more efficient and intelligent waste management.
PEMANTAUAN KUALITAS LINGKUNGAN KERJA DAN FASILITAS PERLINDUNGAN KEBAKARAN PADA DIVISI ALAT BERAT PT. X Maulana Muhammad Abdurrahman; Kancitra Pharmawati; Etih Hartati
Jurnal Kesehatan Tambusai Vol. 7 No. 2 (2026): JUNI 2026
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jkt.v7i2.56806

Abstract

Industri manufaktur memiliki berbagai potensi bahaya lingkungan kerja dan risiko kebakaran yang dapat mengancam keselamatan serta kesehatan pekerja. Permasalahan yang ditemukan pada Divisi Alat Berat PT X mencakup paparan faktor fisik berupa kebisingan, suhu tinggi, dan pencahayaan yang belum sepenuhnya terkendali, serta kondisi sistem proteksi kebakaran aktif yang belum optimal. Penelitian ini bertujuan mengevaluasi kualitas lingkungan kerja dan kesiapan fasilitas perlindungan kebakaran aktif di Divisi Alat Berat PT X. Metode penelitian menggunakan pendekatan deskriptif kualitatif melalui observasi lapangan dan analisis data hasil pengukuran pihak ketiga pada tiga area produksi utama, yaitu fabrikasi, assembling, dan painting, yang dipilih berdasarkan tingkat potensi bahaya fisik dan risiko kebakaran. Data dianalisis dengan membandingkan hasil pengukuran terhadap regulasi yang berlaku, meliputi Permenaker Nomor 5 Tahun 2018, Permen PU Nomor 26 Tahun 2008, SNI 03-3985-2000, dan Kepmen Nomor 10/KPTS/2000. Hasil pengukuran menunjukkan tingkat kebisingan berkisar 77–83,2 dBA, masih di bawah NAB 85 dBA. Suhu pada beberapa titik melebihi NAB beban kerja berat sebesar 27,5 °C, sementara kelembaban 49–54% masih berada dalam rentang standar 40–60%. Intensitas pencahayaan 201–547 lux telah melampaui batas minimum 100 lux. Evaluasi sistem proteksi kebakaran menemukan empat unit APAR terhalang material, dua unit mengalami korosi dan tekanan rendah, serta sistem hidran tidak berfungsi akibat kebocoran pipa, meskipun 25 unit alarm kebakaran berfungsi dengan baik. Simpulan penelitian menunjukkan kualitas lingkungan kerja secara umum telah memenuhi standar yang berlaku, kecuali iklim kerja pada area tertentu yang berpotensi menimbulkan heat stress, sedangkan sistem proteksi kebakaran aktif masih memerlukan perbaikan teknis dan penguatan pemeliharaan secara berkala.
Co-Authors ADI SEMARTA, I WAYAN WINDU ADITYA PRATAMA Aditya Rifqi Rizqullah Adryan Lukman Indira Agusty, Muhammad Naufal Alca Pratama Putra Alfianabila Yusfiaka Ali Djamhuri ARSYAD RAMADHAN DARLIS Ayunda Sean Bagya Trirahmani, Anggia Bali Widodo Didin Agustian Permadi Dimas Rizki Darmawan Dinda Dwi Paramita Djaenudin Djaenudin Djaenudin Djaenudin Djaenudin Dyah Marganingrum Dyah Marganingrum Dyah Marganingrum Dyah Marganingrum Eka Wardhani Elvira, Verina Fandy Ahmad Fauzy Halomoan, Nico Halomoan, Nico Herlian Eriska Putra I WAYAN WINDU ADI SEMARTA IKRIMA NURUL AMALIYAH Indrianti Kurnia Kamila Khalishah Kancitra Pharmawati KHAIRIL IRFAN SIREGAR Khoirunisa Ameilia Rahmawati KRISTIANA, LISA Lina Hasyyati LITA LIDYAWATI M Candra Nugraha Deni Mahardika Saputra Maulana Muhammad Abdurrahman Melisa Permatasari Memey Suhaya Putri Mohamad Rangga Sururi Muhamad Firqi Ramadhan Muhammad Hazqil Kadzim Mumu Sutisna NESYA AMANDASARI H Nico Halomoan Nur Afifah Sari Nur Assyiffa Rahmawati Nursandi S., Windi Nurtati Soewarno PANDU ARJASA Rachmawati S. D. J Rahli, Azura Nur Islami RAHMAULINA, DINI Raisa Nur Azizah Rio Andi Suhandi Risma Mustami RIZKI AMALIA ANANDA Rosadi, Widhi Sally Sufinah SALAFUDIN SALAFUDIN Salafudin Salafudin, Salafudin Saputra, Mahardika Sari, Fitri Nisriina Shirley Wahadamaputera Siregar, Khairil Irfan Siti Ainun Sufinah Rosadi, Widhi Sally Triana Herdiaprila Trisani, Faradilla Rizqi Trisha Ajeng Larasaty Waluyo WIDHI SALLY SUFINAH ROSADI Widhi Sally Sufinah Rosadi WISYE NURFITRIANA Yudhi Tirta Anugrah