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Menampilkan 1–10 dari 248 artikel
Perancangan Sistem Pengelolaan Bank Sampah untuk Skala Komunitas
Ramdani, Cepi
; Athoriq, Alif Yasir
; Wijaya, I Gusti Made Kresna
; Ramdani, Cepi
; Athoriq, Alif Yasir
; Wijaya, I Gusti Made Kresna
Kesadaran dan kepedulian masyarakat terhadap lingkungan telah mendorong munculnya berbagai inisiatif pengelolaan sampah berbasis komunitas, salah satunya melalui mekanisme bank sampah. Namun pada praktiknya, banyak bank sampah masih mengandalkan pencatatan manual yang berpotensi menimbulkan kesalahan pencatatan, duplikasi data, keterlambatan pelaporan, dan kesulitan pelacakan transaksi. Penelitian ini bertujuan untuk mengembangkan sistem digital pengelolaan bank sampah berbasis mobile android de...
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Motorcycle Passenger-Car Equivalents from Time-Headway Data with Lane-Occupancy Adjustment in Urban Indonesia
Aulia Dewi Fatikasari
; Achmad Dzulfiqar Alfiansyah
; Zaid Dzulkarnain Zubizaretta
; Rohmahillah Aviskanasya Septiandri
; Agistya Rachma Larasati
; Roma Artha Uly Napitupulu
; Linie Rose Dayaday Santacera
; Sinta Nabilah Salma
Motorcycles dominate traffic composition in East Surabaya, making the determination of Passenger Car Equivalent (PCE) values for motorcycles a crucial aspect of road performance assessment. This research evaluates motorcycle PCE value on six road sections on Raya Prapen Street, Jemursari Street, Jemur Andayani Street, Panjang Jiwo Street, Kali Rungkut Street, and Rungkut Industri Street, each observed in two directions (12 segments in total), with samples collected during peak hours on Monday (0...
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A Decision Support System Based on Transformer-Driven Sentiment Analysis of Social Media Data
The growing availability of social media data offers new opportunities for decision support systems (DSS) in large-scale human resource screening. This study proposes a technology-driven DSS architecture integrating transformer-based sentiment analysis to support early-stage candidate profiling. Its novelty lies in combining IndoBERT-based sentence embeddings with a structured DSS layer that aggregates tweet-level sentiment into risk-aware recommendations, rather than treating sentiment classifi...
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Hybrid XGBoost-LSTM Framework for Accurate SOC, SOH, DOD and Internal Resistance Estimation in Li-ion Cells
Accurate estimation of State of Charge (SOC), State of Health (SOH), Depth of Discharge (DOD), and internal resistance is critical for Battery Management Systems (BMS) in electric vehicles and energy storage. Conventional methods fail to capture the nonlinear and temporal dynamics of lithium-ion cells, while existing machine learning approaches lack systematic benchmarking for embedded deployment. This study evaluates three hybrid models XGBoost-LSTM, XGBoost-SVR, and Linear Regression-Random Fo...
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Analysis of Hygiene and Sanitation Implementation in the Pastry Division at Aruss Hotel Semarang
The hospitality industry is a strategic sector within the global tourism system that heavily depends on service quality and food safety assurance. In hotel operations, the pastry division represents a high-risk unit due to the use of perishable ingredients and intensive manual handling processes. This study aims to analyze the implementation of hygiene and sanitation practices in the Pastry Division of Hotel Aruss Semarang in supporting food safety standards within the hospitality industry. This...
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Pengaruh Profitabilitas, Likuiditas, Leverage, dan Pertumbuhan Aset terhadap Kebijakan Dividen
The objective of this study is to examine the effects of profitability, liquidity, leverage, and asset growth on dividend policy among food and beverage companies listed on the IDX during 2020-2023. The dependent variable in this study is dividend policy, specifically the proxy dividend payout ratio (DPR). The independent variables, including profitability as measured by return on equity (ROE), liquidity as measured by the current ratio (CR), leverage as measured by the debt-to-equity ratio (DER...
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Investigating Security Enhancement in Hybrid Clouds via a Blockchain-Fused Privacy Preservation Strategy: Pilot Study
Tabitha Chukwudi Aghaunor
; Eferhire Valentine Ugbotu
; Emeke Ugboh
; Paul Avwerosuoghene Onoma
; Frances Uchechukwu Emordi
; Arnold Adimabua Ojugo
; Victor Ochuko Geteloma
; Rebecca Okeoghene Idama
; Peace Oguguo Ezzeh
Journal of Computing Theories and Applications
Vol 3
, No 4
(2026)
The proliferation of cloud infrastructures has intensified concerns regarding data security, integrity, identity and access management, and user privacy. Despite recent advances, existing solutions often lack comprehensive integration of privacy-preserving mechanisms, dynamic trust management, and cross-provider interoperability. This study proposes an AI-enabled, zero-trust, blockchain-fused identity management framework for secure, privacy-preserving multi-cloud environments. The framework int...
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EFFECT OF RAW MATERIAL PROPORTIONS ON THE QUALITY OF COMPOST FROM CLOVE LEAF LITTER AND CATTLE MANURE
Kartini, Ni Luh
; Bimantara, Putu Oki
; Vanessa
; Hutagalung, Trianita Br.
; Grace, Querida Maria
; Rucika, I Wayan Alit
; Pardosi, Ivana Cein
; Sitanggang, Manumpak Pardingotan
; Anggarini, Ni Wayan Sri
; Maulidhya, Rachel
; Simbolon, Randa
; Manihuruk, Yesika
Agrisaintifika : Jurnal Ilmu - Ilmu Pertanian
Vol 10
, No 1
(2026)
Agricultural and livestock wastes are widely available in clove-producing areas but remain underutilized as organic fertilizer inputs. This study aimed to evaluate the quality of compost produced from clove leaf litter, cattle manure, and agricultural residues based on physical and chemical characteristics. The experiment was arranged using a randomized block design with nine treatment combinations and three replications. Compost quality parameters analyzed included organic carbon content, total...
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A Graph-Augmented Isolation Forest Using Node2Vec and GraphSAGE for Mobile User Behavior Anomaly Detection
Amaka Patience Binitie
; Sunny Innocent Onyemenem
; Nneamaka Christiana Anujeonye
; Arnold Adimabua Ojugo
; Francesca Avwuru Egbokhare
; Tabitha Chukwudi Aghaunor
Journal of Computing Theories and Applications
Vol 3
, No 3
(2026)
This study presents a Graph-Augmented Isolation Forest (GAIF), an unsupervised anomaly-detection framework for analyzing mobile user behavior. The proposed framework represents users and behavioral attributes as a user–feature bipartite graph, enabling the capture of relational dependencies that are not explicitly modeled in conventional vector-based approaches. Low-dimensional user representations are learned through Node2Vec and Graph Sample and Aggregate (GraphSAGE), and the resulting embeddi...
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An Attention-Enhanced CNN–RBF Framework for Network Intrusion Detection in Imbalanced Traffic
Journal of Computing Theories and Applications
Vol 3
, No 3
(2026)
The increasing complexity and scale of modern network traffic driven by IoT and cloud-based infrastructures have made accurate intrusion detection a critical challenge. Conventional network intrusion detection systems (NIDS) and many deep learning–based approaches struggle to reliably detect minority and stealthy attacks due to severe class imbalance and limited discrimination of subtle traffic patterns. To address these limitations, this study proposes a hybrid CNN–RBF–Attention framework for n...
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