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AI-Based Decision Support System for Learning Growth Performance Workforce Use Certainty Factor and Constraint Evaluation
This study presents the design and computational evaluation of an AI-based decision support system for workforce performance in an AI-driven environment under constrained conditions. Previous research has largely emphasized technological determinants and adequate conditions, while neglecting the constraint mechanisms that limit achievable performance. To address this gap, this study integrates Partial Least Squares Structural Equation Modeling (PLS-SEM) and Necessary Condition Analysis (NCA) int...
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Prototype and Validation of an IoT-Based Voltage and Temperature Monitoring System for Remote ISP Point-of-Presence (POP) Infrastructure
Monitoring electricity and temperature is crucial for maintaining PoP server performance. This research developed an Internet of Things (IoT)-based tool using a NodeMCU ESP32 to directly monitor these two factors. The ZMPT101B sensor measures electrical voltage, while the DHT22 sensor monitors the temperature of the room and server rack. Information obtained from the sensor is sent in real time via a Telegram Bot to the administrator. This tool is particularly useful for PoP located remotely, as...
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Sustainable Cement Paste Incorporating Andesite Waste Powder: Mechanical Performance and Feasibility for Ornamental Elements
Utilising industrial waste as a partial solution for Portland cement has become more common as the need for environmentally friendly building materials grows. The potential of using andesite waste powder (AWP), a byproduct of the stone-processing industry, as a cementitious material for ornamental cement-based products is examined in this study. The flowability, dry unit weight, and compression strength tests were done on cement paste samples with 0%, 50%, and 75% AWP replacement levels at water...
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Dynamic Chaotic–Adversarial Framework for High-Capacity and Imperceptible Image Steganography
Sari, Wellia Shinta
; Sari, Christy Atika
; Setiyani, Safira Hasna
; Triyono, Agus
; Ali, Rabei Raad
The rapid growth of digital communication has intensified concerns regarding data confidentiality as sensitive information transmitted through multimedia images is increasingly vulnerable to interception and unauthorized analysis. Conventional image steganography methods often struggle to simultaneously achieve high embedding capacity, strong imperceptibility, and resistance to modern steganalysis. To address this challenge, this study proposes a steganographic framework that integrates dynamic...
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PENGUATAN LITERASI DIGITAL MELALUI WORKSHOP DATA SCIENCE DAN MACHINE LEARNING BERBASIS PEMBELAJARAN INTERAKTIF
Abdi Teknoyasa
(2026)
Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan literasi data serta pemahaman konseptual dan aplikatif mengenai Data Science dan Machine Learning bagi sivitas akademika dan masyarakat umum. Kagiatan dilaksanakan oleh tim pengabdian masyarakat Program Studi Teknik Industri, Institut Teknologi Indonesia, melalui penyelenggaraan workshop berbasis pembelajaran interaktif. Materi pelatihan mencakup pengantar konsep data science, teknik pengumpulan dan pembersihan data, analisis...
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Design and Development of SIPADMA: A Software Engineering Approach for Water Consumption Anomaly Detection in Public Water Utilities
Water utilities continuously face challenges in identifying abnormal customer water consumption caused by pipe leakage, illegal connections, meter reading errors, and unusual consumption behavior. Conventional manual inspection requires considerable time and often delays corrective actions. This study presents the design and development of SIPADMA (Sistem Deteksi Anomali Pemakaian Air), a web-based information system developed using Software Engineering principles to automate anomaly detection a...
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Sistem Pendukung Keputusan Penentuan Prioritas Tenaga Kesehatan di Kota Yogyakarta menggunakan Integrasi AHP, SAW, dan WP
Journal of Informatics Education
Vol 9
, No 1
(2026)
Distribusi tenaga kesehatan yang tidak merata seringkali tidak mencerminkan kebutuhan riil populasi, sehingga diperlukan alat bantu keputusan yang objektif. Penelitian ini bertujuan merancang dan membangun sistem pendukung keputusan (SPK) berbasis web untuk menentukan prioritas kecamatan yang membutuhkan penambahan tenaga kesehatan di Kota Yogyakarta. Metode Analytical Hierarchy Process (AHP) digunakan untuk menentukan bobot kriteria berdasarkan penilaian pakar, yang hasilnya menunjukkan konsist...
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Metaheuristic Optimization Stacking Application for Rainfall Classification: A Comparative Study
Accurate rainfall classification plays a vital role in effective meteorological forecasting, agricultural planning, and also to avoid natural disasters. However, standard classification models often exhibit unstable performance. This study evaluates the effectiveness of an Ensemble Stacking framework enhanced with Optimized Swarm Based and Metaheuristic method such as Artificial Bee Colony (ABC) and Cuckoo Search (CS) optimization algorithms to improve prediction reliability. The proposed approa...
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A CIA-based Sustainable Security Risk Mitigation Model for E-Certificate Systems
Suharsono, Teguh Nurhadi
; Choi , John
; Agusiady , Raden Ricky
; Saepudin, Didin
; Sukadwilinda
; Purwanto, Heri
; Savitri , Peti
; Munastha, Ketut Abimanyu
E-certificates are increasingly adopted across sectors, yet existing studies have not developed an integrated risk mitigation model that combines CIA-based sustainable security with operational and stakeholder perspectives. Current frameworks primarily address isolated technical risks or focus on general PKI security, leaving a gap in holistic modeling tailored to end-to-end e-certificate implementation. This study addresses this gap by proposing a Sustainable Security Risk Mitigation Model for...
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The challenges of recovery resilience in drug addicted clients: An addiction counselor's perspective
Drug addiction is a problem for addicted clients who need help recovering from addiction counselors. However, the challenges of resilience to recovery in the outpatient rehabilitation process are caused by social stress and the lack of meaning in life. Therefore, the research objective was to explore the challenges of resilience in recovery from drug addiction from the perspective of addiction counselors. A descriptive phenomenological design was used, supported by in-depth interviews with two p...
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