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 51–60 dari 2242 artikel
Cam Simulation and Dimensional Verification of CNC-Machined Orthopaedic Femoral Components: Toolpath Optimization and 3D-Scan Metrology
Setyoadi, Yuris
; Rifky Ismail
; Bayuseno, Athanasius Priharyoto
; I Nyoman Jujur
; Novriansyah, Robin
; Darmanto
; Prawibowo, Hartanto
; Anggoro, Paulus Wisnu
This study investigates the optimization of manufacturing femoral components for Total Knee Replacement (TKR) using Computer-Aided Manufacturing (CAM) simulation and 5-axis CNC milling, followed by dimensional verification based on 3D scanning. The machining process was simulated in Autodesk PowerMill to generate collision-free toolpaths for AISI 316L stainless steel. Dimensional verification was conducted by comparing the 3D-scanned physical model (using Creality CR-Scan Ferret Pro) with the or...
Google Scholar
DOI
Waterbirds as bioindicators of ecosystem health: seasonal dynamics in Tondano Lake, Indonesia
Waterbird diversity in Tondano Lake reflects ecological degradation caused by water-hyacinth invasion and sedimentation. This study analyzed the diversity and abundance of waterbirds in Tondano Lake, Indonesia, across wet (February-May) and dry (June-October) seasons in 2025 to assess their role as bioindicators of ecosystem health. Multi-season observations were carried out monthly along a 6.5 km transect at ten strategic points. Eight waterbird species from three families were recorded, with E...
Google Scholar
DOI
Assessment of genetic diversity in EMS-induced porang (Amorphophallus muelleri Blume) revealed by RAPD markers
Haritzah, Rendha Maulana
; Radita, Novia Fitri
; Ramadanti, Isma Salsabila
; Azzahro, Yusri Despa
; Wahyudi, Didik
; Resmisari, Ruri Siti
; Suyono
Increasing genetic diversity of porang through mutation is urgently needed since porang has low genetic diveristy. Therefore, this study aims to increase the genetic diversity of porang using ethyl methanesulfonate (EMS) and analyze the genetic diversity of porang using RAPD markers. Porang explants were subjected to in vitro EMS induction at various concentrations (control, 0.1%, 0.2%, 0.3%, 0.4%, and 0.5%) and evaluated after 35 days. DNA amplification was carried out using 20 RAPD primers. Ge...
Google Scholar
DOI
Pharmacological prediction of Marchantia polymorpha: GC-MS and molecular docking approaches
Marchantia polymorpha is the liverworts that can be found abundantly in the Mount Pasang Jember area. The metabolite profiling of M. polymorpha has not yet been conducted. The method used in this study was untargeted metabolite profiling using GC-MS, and the results of the metabolite compound profiling were analyzed in silico using bioinformatics-based, namely PASS Online, SwisADME, and Molecular Docking using PyRx 8.0 with AutodockVina. The aims of docking with this protein was adjusted to th...
Google Scholar
DOI
Evidence-based non-residential waste analysis to support 3R strategies and food recovery hierarchy: a case study in Solok Selatan
The amount of waste generation that increases without being accompanied by good waste management will cause pollution and decrease the aesthetic value of the environment. Non-residential waste originating from non-residential activities is also one of the contributors to waste entering the landfill. This study aims to analyze non-residential waste generation and composition as an evidence-based reference for each source in implementing the 3R concept and the Food Recovery Hierarchy (FRH). The nu...
Google Scholar
DOI
Synergistic cultures for resilient mercury bioremediation in ASGM leveraging microbial interactions for sustainable pollutant removal
The widespread use of mercury (Hg) in artisanal and small-scale gold mining (ASGM) necessitates effective bioremediation strategies. This study evaluated the mercury reduction capabilities of two bacterial strains, Bacillus subtilis and Pseudomonas aeruginosa, using real-world ASGM liquid waste. In a seven-day laboratory-scale experiment, we assessed the performance of single and mixed bacterial cultures under varying pH conditions. Our results show that B. subtilis was particularly effective, a...
Google Scholar
DOI
A Vegetation analysis of terestrial fern in kemuning tea garden in ngargoyoso village, Indonesia
Kemuning Tea Garden in Ngargoyoso Village is a beautiful area with many tourist destinations. Therefore, in addition to the activities of local people as tea farmers, many outsiders come as tourists. This area has abiotic factors that are suitable for the growth of various types of plants, one of which is ferns, especially terrestrial ferns. This study aims to determine the composition of terrestrial fern vegetation in the kemuning tea garden area. The method used was purposive sampling method,...
Google Scholar
DOI
Comparative Evaluation of Parameter-Efficient Fine-Tuning Strategies for Continual Image Classification
Catastrophic forgetting remains a major challenge in continual transfer learning, where performance on earlier tasks degrades after sequential adaptation. While full fine-tuning updates all parameters and achieves strong performance on new tasks, it is computationally expensive and prone to forgetting. This study compares parameter-efficient fine-tuning (PEFT) methods—adapters, additive learning, side-tuning, LoRA, and zero-initialized layers—against full fine-tuning on CIFAR-100 using a two-sta...
Google Scholar
DOI
Development of a Lightweight CNN Architecture for Multiclass Brain Tumor Detection Based on RGB Images
Telematika
Vol 19
, No 1
(2026)
Convolutional Neural Networks (CNNs) have become the backbone of various computer vision applications, including medical diagnosis and disease detection. In the context of brain tumor detection, CNNs have demonstrated their capacity to interpret the subtle complexities present in brain images, distinguish between various tumor categories, and provide essential information that can inform clinical decision-making and personalized treatment planning.This study aims to develop a lightweight Convolu...
Sumber Asli
Google Scholar
DOI
Workshop Pembuatan Urea Molasses Block (UMB) untuk Meningkatkan Produktivitas Ternak di Kecamatan Windusari, Kabupaten Magelang
Pradita, Linda Eka
; Manggala Wijaya, Ahmad Rino
; Oktaviana, Tiara
; Hasna Aribah, Nisrina Zaidatun
; Intan Meilisa, Maulidya
; Salman Fata, Muhammad
; Aulia, Fara
; Yuliana, Tri Wahyu
; Arifina Qulba, Shefie
; Rahayu Pramesti, Yuliani
; Luthfie Freessylia, Brilliant
; Khaidar Ali, Wildan
; Oktaviana, Tiara
Pakan adalah faktor penting dalam sektor peternakan. Bidang peternakan menjadi fokus pengembangan di Kelurahan Bandarsedayu yang terletak di Kabupaten Magelang. Kondisi geografi sesuai dengan adaptasi hewan dan sumber pakan berupa rumput yang cukup berlimpah. Namun, tidak semua rumput dapat memenuhi kebutuhan mineral ternak karena beberapa faktor. Teknologi pakan tambahan seperti Urea Molase Blok yang memiliki kandungan mineral tinggi. Tujuan dari pengabdian ini adalah untuk mengedukasi masyarak...
Google Scholar
DOI