Klaim Artikel Anda
Verifikasi kepemilikan artikel akademik
Apakah artikel-artikel ini milik Anda?
Daftarkan diri Anda sebagai author untuk mengklaim artikel dan dapatkan profil akademik terverifikasi dengan fitur lengkap.
Badge Verifikasi
Profil terverifikasi resmi
Statistik Lengkap
H-index, sitasi, dan metrik
Visibilitas Tinggi
Tampil di direktori author
Kelola Publikasi
Dashboard artikel terpadu
Langkah-langkah Klaim Artikel:
- 1. Daftar akun author dengan email akademik Anda
- 2. Verifikasi email dan lengkapi profil
- 3. Login dan buka menu "Klaim Artikel"
- 4. Cari dan klaim artikel Anda
- 5. Tunggu verifikasi dari admin (1-3 hari kerja)
Menampilkan 111–120 dari 571 artikel
Diversifikasi Olahan Bandeng Tanpa Limbah menjadi Nuget dan Stik untuk Meningkatkan Nilai Ekonomis Bandeng
Dyah Ilminingtyas Wahyu Handayani
; Diah Kartikawati
; Sri Suprapti
; Shaivaila Nashika
; Abdillah Rizqi Firmansyah
; Natasha Meisya Putri
; Nur Dwi Wahyu Wibowo
; Sulis Diyah Tia Wati
Jurnal Suara Pengabdian 45
Vol 4
, No 3
(2025)
Program pengabdian masyarakat dengan tema Diversifikasi Olahan Bandeng Tanpa Limbah menjadi Nuget dan Stik untuk Meningkatkan Nilai Ekonomis Bandeng telah dilakukan di Kelompok Tani Tunas Harapan Kelurahan Mangkang Wetan Kota Semarang bulan Juli 2025 - Agustus 2025. Program ini bertujuan meningkatkan nilai ekonomis bandeng yang merupakan komoditas utama tambak Masyarakat Mangkang Wetan. Permasalahan utama yang dihadapi meliputi rendahnya diversifikasi produk dan tingginya limbah produksi. Limba...
Sumber Asli
Google Scholar
DOI
Pendampingan Pengembangan Urban Farming Berbasis Pemberdayaan Masyarakat di Kelurahan Bukit Duri Jakarta Selatan
Jurnal Suara Pengabdian 45
Vol 4
, No 3
(2025)
Isu keterbatasan lahan di wilayah perkotaan mendorong perlunya solusi alternatif untuk mendukung ketahanan pangan dan pemberdayaan masyarakat. Kegiatan Pengabdian kepada Masyarakat (PkM) ini berfokus pada pengembangan urban farming di Kelurahan Bukit Duri dengan melibatkan kader TP PKK sebagai mitra utama. Tujuan pengabdian ini adalah meningkatkan pengetahuan teknis, keterampilan, serta kemandirian warga dalam memanfaatkan ruang mikro melalui sistem hidroponik dan pemanfaatan lahan vertikal maup...
Sumber Asli
Google Scholar
DOI
Fake News Detection Using Bi-LSTM Architecture: A Deep Learning Approach on the ISOT Dataset
Journal of Computing Theories and Applications
Vol 3
, No 2
(2025)
The proliferation of fake news across digital platforms has raised critical concerns about information reliability. A notable example is the viral rumour falsely claiming that the Nigerian Minister of the Federal Capital Territory, Nyesom Wike, had collapsed at an event and was rushed to an undisclosed hospital an entirely fabricated claim that caused public confusion. While both traditional machine learning and deep learning approaches have been explored for automated fake news detection, many...
Sumber Asli
Google Scholar
DOI
2 Sitasi
Violence and Robbery Detection System Using YOLOv5 Algorithm Based on IoT Technology
Khoiriyah, Hani'atul
; Politeknik Negeri Jember
; Abdillah, Fauzan
; Politeknik Negeri Jember
; Aziz, Afris Nurfal
; Politeknik Negeri Jember
; Wiryawan, I Gede
; Politeknik Negeri Jember
Telematika
Vol 18
, No 2
(2025)
Violence and robbery are two common forms of crime that often cause material losses, psychological trauma, and insecurity within society. Conventional CCTV systems are limited in preventing such incidents, which highlights the need for more intelligent and responsive security solutions. The primary objective of this research is to design and evaluate SmartGuard, a real-time detection system for violence and robbery based on artificial intelligence (AI) using the YOLOv5 algorithm, integrated with...
Sumber Asli
Google Scholar
DOI
Unlocking Indonesia’s Critical Minerals for Renewable Energy: Challenges and Pathways to Net-Zero Emissions
Andrew Cahyo Adhi
; Nur Widi Priambodo
; Muchammad
; Suryo Utomo, Tony
; Akmal Setia Abdrian, Reyhan Kevin
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 4
(2025)
Indonesia holds a pivotal role in the global renewable energy (RE) transition due to its abundant reserves of critical minerals like nickel, cobalt, and rare earth elements (REEs). However, a significant gap exists between these resources and the technologies needed to leverage them, highlighting supply chain vulnerabilities. This qualitative, exploratory-descriptive study integrates Life Cycle Assessment (LCA), criticality matrix analysis, and value chain mapping to examine Indonesia’s mineral...
Google Scholar
DOI
Inovasi Gizi Berbasis Pangan Lokal Melalui Integrasi Budi Daya Ikan dalam Galon (Budikdamlon) dan Hidroponik dalam Pencegahan Stunting
Daffina, Fabian
; Ghazali, Fabian Daffina
; Salsabil, Shafa Rizki
; Regista, Diofania
; Erlangga, Ferdian
; Karim, Choirul Abdul
; Maharani, Yashinta Intan
; Wijanarko, Clara Nur Steviyani
; Ananda, Okta Azrul
; Awalin, Lintang Daystinaya
; Kuncoro, Theopillus Nathanael
; Indreswary, Nadya Mesayu
; Nugroho, Ferdiantoro Asa
; Ruyaya, Ika Aftunifi
The Community
Vol 2
, No 1
(2025)
Stunting merupakan salah satu masalah gizi kronis yang berdampak serius terhadap kualitas sumber daya manusia di masa depan. Kondisi ini tidak hanya menghambat pertumbuhan fisik anak, tetapi juga memengaruhi perkembangan kognitif, produktivitas, dan kesejahteraan sosial ekonomi. Berdasarkan data tahun 2025, di Desa Ngabeyan, Kecamatan Karanganom, Kabupaten Klaten, tercatat 16 dari 109 balita mengalami stunting. Sebagai upaya pencegahan, mahasiswa KKN-PPM Universitas Slamet Riyadi (UNISRI) Kelomp...
Sumber Asli
Google Scholar
DOI
Family Support and Elderly Participation in Posbindu Activities: A Cross-Sectional Study at Urug Public Health Center, Tasikmalaya
Gaster
Vol 23
, No 2
(2025)
Background: Indonesia is entering an aging population phase, in line with the global increase in the number of older adults. The World Health Organization (WHO) reports that more than 700 million people are aged 65 years and over worldwide, a figure projected to rise sharply by 2050. In response, the Indonesian government established the Integrated Development Post (Posbindu) to promote early detection, monitoring, and prevention of non-communicable diseases among the elderly. Objective: This st...
Sumber Asli
Google Scholar
DOI
Exploring Biochar Briquettes from Biomass Waste for Sustainable Energy
Heriyanti, Andhina Putri
; Bakri, Sitty Nur Syafa
; Jabbar, Abdul
; Kholil, Putri Alifa
; Amelia, Rizki Nor
; Savitri, Erna Noor
; Rifaatunnisa
; Siti Herlina Dewi
; Habil Sultan
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
The increasing demand for renewable energy necessitates sustainable alternatives such as biochar briquettes derived from agricultural waste. This study aims to optimize the production process and evaluate the physical, mechanical, and combustion properties of biochar briquettes made from corn residues, rice husks, and coconut shells. The methodology includes biomass carbonization, binder ratio optimization, and systematic testing of key quality parameters such as moisture content, density, ash c...
Google Scholar
DOI
Assessing Environmental Quality Using the Risk Screening Environmental Indicators (RSEI) Method: A Multi-Year Remote Sensing Approach
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
Industrial areas in Indonesia are increasing every year with a total of 136 industrial estates in 2024, of which 61.76% are in Java, such as Kendal Industrial Estate (KIE) with an increase in built-up land of 289.52 hectares (2015-2017). The problem is that the development was carried out by converting vegetation cover. The purpose of the study was to analyze the impact of the increase in built-up land on the environmental quality index around Kendal Industrial Estate. Research method with super...
Google Scholar
DOI
1 Sitasi
An Artificial Neural Network Approach for Predicting Pavement Distress: A Case Study Toward Sustainable Road Maintenance
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
The Surface Distress Index (SDI) is a crucial parameter to consider when determining road conditions as part of an effective maintenance strategy. This study aims to develop an SDI prediction model using road surface distress data to enhance maintenance planning. The developed Artificial Neural Network (ANN) model resulted in an optimal structure with two hidden layers comprising 6 neurons and 4 neurons, respectively. The model was trained using two years of surface distress data collected from...
Google Scholar
DOI