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 1211–1220 dari 10214 artikel
Comparative Performance of GLMM and GEE for Longitudinal Beta Regression in Economic Inequality Modelling
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
Due to the shortcomings of conventional Gaussian methods, specialized models are frequently needed for longitudinal data analysis with bounded outcomes, such as the Gini ratio. In order to model economic inequality in Indonesia, this study compares the effectiveness of Generalized Linear Mixed Models (GLMM) and Generalized Estimating Equations (GEE) for beta-distributed longitudinal data. Root Mean Square Error (RMSE) and pseudo R-squared values are used to assess model performance using panel d...
Google Scholar
DOI
Evaluating the Role of Extractives in Biomass Pyrolysis for Enhanced Hydrogen Syngas Production
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
This study explores how extractive content in lignocellulosic biomass affects syngas quality during fixed-bed pyrolysis-gasification, specifically focusing on hydrogen (H₂) concentration. While woody biomass is a known energy source, the link between its non-structural organic compounds (extractives) and H₂ in syngas is often overlooked. We investigated teak, coconut, and jackfruit wood to understand this influence and optimize temperature for better biomass-to-hydrogen conversion. An MQ-8 senso...
Google Scholar
DOI
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
Comparative Analysis of Observed and Empirical Rainfall Distribution for Flood Hydrograph Modeling
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
Flood disasters in Indonesia are persistent challenges during the rainy season, primarily due to intense rainfall and inadequate flood control. This study evaluates hourly rainfall to characterize hydrology and predict flood discharge more accurately, benefiting water infrastructure planning. The research used modified Mononobe methods, observational data, and rainfall-runoff modeling, including HEC-HMS simulations with the SCS-CN unit hydrograph. Observed rainfall simulated a flood discharge of...
Google Scholar
DOI
Predicting Habitat Suitability of Mahseer Fish (Tor spp.) in Tropical River Systems Using MaxEnt and Google Earth Engine: A Geospatial Modeling Approach
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
Rivers are vital freshwater habitats that face threats of degradation and climate change. Mahseer fish, a key species, is in decline. This study predicted Mahseer fish habitats in Central Java using the Google Earth Engine and the MaxEnt machine learning algorithm. Environmental predictors, including NDVI, elevation, slope, river order, temperature, and rainfall, were extracted from Sentinel, SRTM, MODIS, and CHIRPS data. The model identified river order as the most influential variable (73%), f...
Google Scholar
DOI
Pelatihan Perawatan Tubuh Sebagai Upaya Pemberdayaan dan Keterampilan Massage Lulur Bagi Penerima Manfaat di Panti Pelayanan Sosial PGOT Mardi Utomo
Jurnal Pengabdian Kepada Masyarakat
Vol 2
, No 2
(2025)
This community service is a form of collaboration between the PGOT Mardi Utomo Social Service Center and AKS Ibu Kartini Semarang. Implementation of Vocational or skills guidance program activities as an effort to empower the potential of human resources in the Mardi Utomo social service center (PPS) beggars homeless and displaced people (PGOT) in order to build social functioning of community life for beneficiaries towards independence in the field of Body Care. The purpose of this activity is...
Sumber Asli
Google Scholar
DOI
Identification of Disaster Mitigation Learning Implementation in Pembina Kindergarten, Gorontalo Regency
Paudia
Vol 14
, No 3
(2025)
Disaster mitigation needs to be introduced in early childhood education institutions.This study was motivated the high disaster risk in Gorontalo Regency, while disaster preparedness education in early childhood centers remains incomplete. This qualitative research aims to identify disaster mitigation learning at TK Pembina Limboto, located in Limboto Village, Gorontalo Regency. The study involved eight teachers as participants. Data were collected through in-depth interviews and analyzed using...
Sumber Asli
Google Scholar
DOI
Hubungan Transformasi Digital SDM dengan Resiliensi Organisasi Melalui Moderasi Kepemimpinan Digital dan Budaya Inovasi
Jurnal Riset sosial humaniora, dan Pendidikan (Soshumdik)
Vol 4
, No 3
(2025)
This study examined the relationship between digital transformation factors (innovation culture, digital leadership, and digital transformation of human resources) and organizational resilience in Indonesian higher education institutions. The research method employed Structural Equation Modeling (SEM) with a Partial Least Squares (PLS) approach using SmartPLS 4, involving validation of the measurement and structural models through bootstrapping procedures. The findings indicated that all seven h...
Sumber Asli
Google Scholar
DOI
Comparison of Conventional and Adaptive Hysteresis Current Control Methods for Power Quality Improvement using Active Filters
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 4
(2025)
Hysteresis is widely applied in converter control techniques because of its simplicity and stability. This paper discusses hysteresis current control applied to single-phase active filters. Active filters are designed for harmonic mitigation and reactive power compensation. Simulation and comparison of conventional hysteresis control (constant hysteresis band - variable frequency) and adaptive hysteresis (variable hysteresis band - constant frequency) on active filters were carried out. Simulati...
Google Scholar
DOI
Pelatihan Pijat dan Lulur untuk Meningkatkan Skill Serta Pertumbuhan Ekonomi Warga Binaan Panti Sosial PGOT Mardi Utomo
Jurnal Pengabdian Kepada Masyarakat
Vol 2
, No 2
(2025)
Massage and Scrub Training to Improve Skills and Economic Growth for Residents of the PGOT Mardi Utomo Social Home. This training will begin with theory and practice. The theory refers to client diagnosis, followed by five basic movements and cost calculations. After receiving t Massage and Scrub Training to Improve Skills and Economic Growth for Residents of the PGOT Mardi Utomo Social Home. This training will begin with theory and practice. The theory refers to client diagnosis, followed by fi...
Sumber Asli
Google Scholar
DOI