Cognitive science plays a pivotal role in deciphering human behavior by understanding and interpreting emotions prevalent everyday life. These manifest through various cues, including speech patterns, body language, notably, facial expressions. Human expressions serve as fundamental mode of communication interaction. Within the realm computer vision, Facial Expression Recognition (FER) stands crucial field, offering diverse techniques to decode from This research aims develop hybrid...

Detecting emotions from facial images is difficult because expressions can vary significantly. Previous research on using deep learning models to classify has been carried out various datasets that contain a limited range of expressions. This study expands the use for emotion recognition (FER) based Emognition dataset includes ten target emotions: amusement, awe, enthusiasm, liking, surprise, anger, disgust, fear, sadness, and neutral. A series data preprocessing was convert video into...

Occupational sectors are perennially challenged by the potential for workplace accidents, particularly in roles involving tools and machinery. A notable cause of such accidents is inadequate use Personal Protective Equipment (PPE), essential preventing injuries illnesses. This risk not confined to workplaces alone but extends educational settings with practical activities, like manufacturing teaching laboratories universities. Current methods monitoring ensuring proper PPE usage especially...

Despite the significant benefits of Autonomous Vehicles (AVs) for global transportation, Indonesia's diverse geographical landscape encounter unique adoption challenges due to infrastructural shortcomings and economic limitations. This study explores AVs in Indonesia, considering its potential market crucial role AV Electric Vehicle supply chains. Drawing upon Technology Acceptance Model (TAM) Unified Theory Use (UTAUT), we assessed acceptance across Metropolitan Cities, frontier regions...

Small and Medium Enterprises (SMEs) typically operate within limited or small spaces, with production activities that are sometimes mismatched their available conditions. This includes the Tahu Sehat Sari SME case, where existing product layout results in significant material handling movement, leading to high operational costs. research designs a facility tailored SME’s needs. The is developed considering various constraints such as cost, area, other resources. goal of this design create...

The Coronavirus Disease 2019 (COVID-19) impacted many aspects of daily life, including mental health, as some individuals struggled to adjust the rapid changes brought on by pandemic. This paper investigated sentiment analysis Twitter data following COVID-19 Specifically, we analyzed a large corpus tweets understand public and its implications for health in post-pandemic context. Naïve Bayes Support Vector Machine (SVM) classifiers were used categorize into positive, negative, neutral...

Automatic Speech Recognition (ASR) faced challenges in accuracy and noise robustness, particularly Bahasa Indonesia. This research addressed the limitations of single feature extraction methods, such as Mel-Frequency Cepstral Coefficients (MFCC), which were sensitive to noise, Relative Spectral Transform - Perceptual Linear Predictive (RASTA-PLP), was less effective frequency representation, by proposing a hybrid approach that combined both techniques using Long Short-Term Memory (LSTM)...

Even and equitable distribution of the COVID-19 vaccine becomes one key strategies to reduce number positive cases virus transmissions all over world.This paper aims introduce demonstrate a mathematical model based on maximal covering location problem (MCLP) optimise coverage distribution.A is proposed demonstrated using an illustrative case study healthcare facilities coordinates villages in Yogyakarta, Indonesia.A numerical computer experiment conducted obtain optimal results locational...

This study presents the development of an automatic, low-cost, fast, and reliable non-contact system for surface roughness estimation chatter vibration identification based on machine vision. The developed focuses predicting two critical problems in machining process, which are vibration, using images as input. Deep learning with convolutional neural networks is integrated into to bypass feature extraction method traditionally used conventional vision-based predictions. Two systems proposed:...

Usaha Mikro Kecil dan Menengah (UMKM) merupakan kontributor besar terhadap perekonomian Indonesia. Akan tetapi, masih banyak UMKM yang bergelut pada isu kualitas produk proses produksi kurang efektif efisien. Salah satunya adalah XYZ Bakery di Bantul, Yogyakarta mengalami permasalahan dari segi peletakan area permesinan mengakibatkan tingginya waktu perpindahan material. Perbaikan diperlukan guna mendesain ulang tata letak departemen mesin agar memudahkan barang kenyamanan pekerja. Langkah...

Plastic and polymer composite gears are gaining popularity due to their cost-effectiveness, lightweight properties, quiet operation compared metal gears. Additive manufacturing has transformed the production of gears, impacting dynamic behavior. However, determining optimal printing conditions remains a subject ongoing research. In this study compound gear for well-zoom filament extruder machine was 3D printed using two different three-dimensional techniques, namely vat photopolymerization...

This study explores a method of waste classification using deep learning, specifically employing the Convolutional Neural Network (CNN). research involves creation unique dataset, hybrid publicly accessible data and newly compiled collection images across 13 classes: paper, glass, wood, metal, clothes, PCB e-waste, non-PCB PET, HDPE, LDPE, PP, PVC, PS. The development CNN model was approached in two ways: transfer learning full learning. In approach, pre-trained models, MobileNetV2...

Abstract Thick film indium oxide chemiresistive sensors decorated with PdO and PtO 2 particles were investigated for oxygen detection under humid conditions (tested ranging from 20%–80% RH) across a temperature range of 50 °C to 400 °C. The -decorated In O 3 demonstrated significantly higher response oxygen, showing 500% increase at 200 compared the PdO-decorated (response values 41 8, respectively). Tests in dry air conducted assess effect humidity on sensor performance, revealing maximum...

The double row layout problem (DRLP) concerns on arranging a set of machines with various size the two parallel rows aim to minimize handling cost material flow between machines. In some industrial applications, planning requires decision-makers consider safety factor, enforcing them comply minimum distance Therefore, this study considers inclusion factor in DRLP, and two-stage variable neighborhood search-sine cosine algorithm is proposed. first stage, improved search (IVNS) developed for...