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Menampilkan 11–20 dari 2737 artikel
Digital Lean-Process Framework for Creative-Industry Efficiency (Case: Sipirok, Indonesia)
This study develops a community empowerment model for the creative economy by integrating local wisdom, education, institutional support, and technology while applying Value Stream Mapping (VSM) to reduce process inefficiencies affecting sustainable tourism. The research introduces Lean-based process optimization using engineering metrics such as cycle time, uptime, and defect ratio. Results indicate that Lean interventions reduced cycle time by 25.3%, increased uptime by 6.8%, and decreased wai...
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Implementing ‘De KeLuVa’ Media Based on the Tri-N Approach to Improve Cognitive Learning Outcomes of Fourth Grade Elementary Students
Education plays an important role in developing students’ character, intellectual abilities, and problem-solving skills, particularly in mathematics education. However, mathematics learning in elementary schools is often dominated by teacher-centered instruction, resulting in low student engagement and cognitive learning outcomes. Therefore, this study aimed to analyze the implementation of De KeLuVa media based on the Tri-N approach (Niteni, Nirokke, and Nambahi) to improve fourth-grade student...
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Design and Implementation of a Web-Based QR Code Employee Attendance System for Optimizing Attendance Management: A Case Study at Bento and Es Teh Luwes Ungaran
Nufninu, Novinda Grezen
; Rudjiono, Rudjiono
; Panjaitan, Cherlina Helena Purnamasari
; Nufninu, Novinda Grezen
; Rudjiono, Rudjiono
; Panjaitan, Cherlina Helena Purnamasari
Penelitian ini dilatarbelakangi oleh proses absensi karyawan pada Stand Bento dan Stand Es Teh Luwes Ungaran yang masih dilakukan secara manual menggunakan buku absensi. Kondisi tersebut menimbulkan beberapa kendala, seperti kesalahan pencatatan jam masuk dan pulang, risiko kehilangan atau kerusakan data, serta lambatnya proses rekapitulasi laporan kehadiran. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem absensi karyawan berbasis web menggunakan teknologi QR Code guna m...
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Grouping of Student Attendance Discipline Levels Based on Daily Attendance Data Using the K-Means Algorithm
Putri, Syahwa Mutiara
; Rahmawati, Anita
; Bella, Alfina Chintya
; Gurowo, Damar Aji
; Arifin, Muhammad
; Putri, Syahwa Mutiara
; Rahmawati, Anita
; Bella, Alfina Chintya
; Gurowo, Damar Aji
; Arifin, Muhammad
Kedisiplinan kehadiran siswa merupakan aspek penting dalam proses pembelajaran karena mencerminkan partisipasi, tanggung jawab, dan kepatuhan terhadap aturan sekolah. Namun, data absensi sering kali hanya diperlakukan sebagai catatan administratif dan jarang dianalisis untuk mengidentifikasi pola keterlambatan yang berulang. Penelitian ini bertujuan untuk mengelompokkan pola keterlambatan siswa berdasarkan data absensi harian menggunakan algoritma K-Means guna memberikan gambaran yang lebih ters...
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Effect of Freeze-Dried and Oven-Dried Cilembu Sweet Potato Flour on the Antioxidant Activity of Chicken Meatballs.
Putra, Azchar Prianka Piawan
; Sirajuddin, Muhammad Mar'ie
; Malik, Hotlan
; Husein, Muhammad
; Riskayanti, Riskayanti
; Prasetya, Rizki
; Haryati, Stefani Fitri
; Arief, Fitri Armianti
; Dami, Juni Claudia
; Amalia, Ditasari
; Masruri, Alvin
This study evaluated the effect of different dehydration methods, specifically oven drying (60°C) and freeze-drying (-20°C to 65°C), on the antioxidant activity of Cilembu sweet potato (Ipomoea batatas L. Lam) flour and its functional application in chicken meatballs. The antioxidant capacity was measured using the DPPH radical scavenging assay, with results showing that freeze-drying significantly preserved higher levels of bioactive compounds compared to thermal evaporation. Freeze-dried tuber...
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Reinforcement Learning for Personalised Critical Care Treatment using Scalable Parallel Computing
Utomo, Chandra Prasetyo
; Ichikawa, Kohei
; Insani, Nashuha
; Thonglek, Kundjanasith
; Xingyuan, Kang
; Maulani, Chaerita
; Rachmawati, Ummi Azizah
Sepsis is one of the leading causes of death in intensive care units. Many patients do not receive timely or effective treatment, which lowers their chances of survival. We developed a reinforcement learning–based framework to provide personalised treatment recommendations for sepsis patients. The model creates simple patient representations from treatment responses, groups patients with similar patterns, and learns the best treatment policy for each group. To reduce long training time, we use p...
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A Hybrid AI–SEMPLS Model for Digital Visualization Acceptance in Blue Tourism: Evidence from Lampung Province
Blue tourism destinations often lack advanced digital tools capable of providing real-time, AI-driven visualization and user-centered information services. This study addresses this gap by developing JELAMBU, an AI-enabled digital visualization platform, and by evaluating user acceptance through a hybrid SEMPLS models. The research aims to: (i) design and implement an AI-based system that combines chatbot interaction, realtime sentiment analytics, and digital visualization; and (ii) examine the...
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Long-run dynamics and error correction mechanism of inflation in Indonesia: a vector error correction model approach
This study examines the impact of BI Rate fluctuations and exchange rate movements on inflation stability in Indonesia from August 2016 to August 2025. The Vector Error Correction Model (VECM) maps long-term, short-term, and dynamic responses among variables. VECM estimations reveal a significant long-term equilibrium with an Exchange Rate coefficient of 1.9314 and a BI Rate coefficient of -0.0917. These findings highlight a high exchange rate pass-through, in which price stability is more sensi...
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Identifying key determinants of students' mathematics achievement using lasso regression
Cognitive, socioeconomic, and instructional factors influence students' mathematics achievement. However, modeling these determinants becomes challenging when the number of predictors is relatively large compared to the available sample size, potentially leading to unstable estimates in conventional regression models. This study aims to identify key determinants of students' mathematics achievement using the Least Absolute Shrinkage and Selection Operator (LASSO) regression approach and to const...
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Fractional Corner Charges in Ionic Crystals: A Case Study of Sodium Chloride Using the DV-Xα Molecular Orbital Method
Recent theoretical predictions have revealed that even simple ionic crystals such as sodium chloride (NaCl) can exhibit fractional corner charges due to their topological characteristics. In this study, we employ the DV-Xα molecular orbital method to analyze the electronic structure of NaCl clusters in 1D, 2D, and 3D configurations. Cluster models were constructed with varying atomic numbers, and their highest occupied molecular orbitals (HOMOs), net atomic charges, and electrostatic potential m...
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