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Menampilkan 21–30 dari 4692 artikel
Bottleneck Analysis and Improvement in Apparel Manufacturing Production Processes Using Integration Design of Experiments and Discrete Event Simulation
Bottlenecks in apparel manufacturing often cause unbalanced production flows, increased waiting times, and reduced system performance. This study aims to analyze and eliminate bottlenecks by integrating Design of Experiments (DOE) and Discrete Event Simulation (DES). Four workstations (X1–X4) were selected as experimental factors, while system performance was evaluated using bottleneck indicators across six production stages (Y1–Y6). DOE was used to design capacity scenarios, and DES assessed sy...
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Effect of Different Layers on the Performance of Laminate Epoxy Composite Reinforced with Textile Waste
Thomas Junaedi
; Siregar, Januar Parlaungan
; Zalani, Mohamed Reza
; Imran, Al Ichlas
; Tezara Cionita
; Endah Murtiana Sari
; Deni Fajar Fitriyana
; Etanto Heiliano Wijayanto
Post-consumer textile waste poses significant environmental problems, but its potential for commercial recycling remains under-researched. Therefore, this study utilizes calico textile (CT) waste as reinforcement in polymer composites. The effect of layering number of CT in epoxy composite will be investigated. CT was varied with three layers, namely 1, 3, and 5 embedded in epoxy resin with the hand lay-up method in open molding. The mechanical testing of pure epoxy as a control point for tensil...
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Strategic Integration of Lean Construction into Green Building Regulations: A Factor-Based Assessment of Green Construction Indicators
The construction sector plays a critical role in sustainability through effective construction waste management. In Indonesia, green building practices are guided by the Green Construction Site Index (GCSI) and the Minister of Public Works and Housing Regulation No. 21 of 2021; however, their strategic alignment with Lean Construction principles remains limited. This study examines the strategic integration of Lean Construction into green building regulations by validating regulatory-based indic...
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Data-Driven Techno-Behavioral Segmentation of Post-Pandemic Tourists Using TwoStep Cluster Analysis
Post-pandemic tourism is characterized by increasing behavioral heterogeneity as digital technologies reshape travel planning and mobility practices, challenging traditional demographic-based segmentation. This study develops a techno-behavioral, data-driven segmentation framework within the Smart Tourism Ecosystem perspective by conceptualizing digital adoption as a mediating mechanism between socio-demographic attributes and travel behavior. Using survey data from 805 domestic tourists in Yogy...
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Attention-Augmented GRU for Stock Forecasting: A Trade-Off Between Directional Accuracy and Price Prediction Error
R. Daniel Hartanto
; Guruh Fajar Shidik
; Farrikh Alzami
; Ahmad Zainul Fanani
; Aris Marjuni
; Abdul Syukur
Journal of Computing Theories and Applications
Vol 3
, No 4
(2026)
Attention mechanisms have been widely incorporated into recurrent neural network architectures for financial time series forecasting, with most prior work reporting improvements in price-level error metrics. This study revisits that claim through a controlled empirical comparison of four deep learning architectures on nearly two decades of Telkom Indonesia (TLKM) closing price data from the Indonesia Stock Exchange (IDX). The models evaluated are a three-layer Gated Recurrent Unit (GRU) baseline...
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ENVIRONMENTAL HEALTH RISK ASSESSMENT OF GROUNDWATER NITRATE AND NITRITE EXPOSURE AMONG FARMERS IN COASTAL AREA OF REMBANG, CENTRAL JAVA, INDONESIA
Irawati, Septiria
; Putri, Cita Fitria
; LPPM Universitas Diponegoro
; Gunungsari Village Government, Kaliori Subdistrict, Rembang Regency
Jurnal Kesehatan Masyarakat Indonesia
Vol 21
, No 1
(2026)
Background: The increasing use of fertilizers and pesticides in agricultural areas maycontaminate groundwater with nitrate and nitrite, posing health risks. Objective: This study aimed to assess the health risk from nitrate and nitrite exposure through groundwater consumption among farmers in the coastal area of Rembang, Central Java. Methods: A crosssectional study was conducted in Gunungsari Village, Kaliori Subdistrict. Groundwater samples from seven households were analyzed using spectrophot...
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Viscosity Modeling of MES and SLS Using Machine Learning Method
Fathaddin, Muhammad Taufiq
; Setiati, Rini
; Akbar, Fahrurrozi
; Sumirat, Iwan
; Bharoto
; Ramadhan, Ranggi Sahmura
; Onnie Ridaliani Prapansya
; Ristawati, Arinda
Viscosity is crucial to improve the efficiency of injected fluids for oil displacement in reservoirs. Traditionally, research has focused on polymers that help reduce the mobility of injected fluids, while surfactant viscosity has received less consideration. This research investigated the viscosity behavior of methyl ester sulfonate (MES) and sodium lauryl sulfate (SLS) surfactant solutions using a machine learning method—adaptive neurofuzzy inference system (ANFIS). This study aimed to predict...
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Risiko Carpal Tunnel Syndrome pada Pengrajin Tembaga: Studi Kasus di Boyolali
Jurnal Kesehatan Masyarakat Indonesia
Vol 21
, No 1
(2026)
Latar belakang: Carpal Tunnel Syndrome (CTS) merupakan gangguan saraf akibat tekanan pada saraf medianus, umum terjadi pada pekerja dengan aktivitas repetitif dan paparan getaran, seperti di industri kerajinan tembaga CV. Muda Tama Gallery memiliki potensi risiko tinggi CTS akibat pekerjaan tangan intensif dan berulang. Penelitian ini menyoroti lima variabel dugaan penyebab CTS: usia, masa kerja, frekuensi gerakan repetitif, lama paparan, dan intensitas getaran alat kerja. Tujuan: menganalisis h...
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Analisis Implementasi Program Pengelolaan Penyakit Kronis (PROLANIS) Di Klinik Symponi Danarieva Medika Palembang
Jurnal Kesehatan Masyarakat Indonesia
Vol 21
, No 1
(2026)
Latar belakang: Program Pengelolaan Penyakit Kronis (Prolanis) merupakan program yang diberlakukan sejak tahun 2014 oleh BPJS Kesehatan sebagai upaya preventif dan promotif untuk penyakit DM tipe 2 dan Hipertensi. Namun kenyataannya, belum semua FKTP mampu menjalankan Prolanis sesuai dengan aturan yang sudah ditetapkan, salah satunya Klinik Symponi Danarieva Medika Kota Palembang dengan capaian sebesar 3,16%, 3,89%, 2,60% selama bulan Apri-Mei 2024 dari target nasional >5%. Metode: Penelitian in...
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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...
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