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Menampilkan 61–70 dari 4938 artikel
Microwave-Pyrolysed Rice Husk-Derived Activated Carbon as a Sustainable Anode Material for Lithium-Ion Half-Cell Batteries
Surib , Nur Atiqah
; Mohd Abdah, Muhammad Amirul Aizat
; Farhana Syakirah Ismail
; Wong, Weng Pin
; Ab Latif, Farah Ezzah
; Mustafa, Muhammad Norhaffis
; Rashmi Walvekar
; Mohammad Khalid
Agricultural waste biomass is explored as a sustainable precursor for activated carbon. In this study, rice husk-derived activated carbon (RHAC) was synthesized via microwave-assisted pyrolysis and KOH activation at 600, 700, and 800 °C. The KOH activation enhanced the thermal stability of the samples, with RHAC_700 exhibiting a spongy, interconnected structure and a surface area of 390.33 m² g⁻¹. When evaluated as a half-cell anode materials for lithium-ion batteries, RHAC_700 delivered an init...
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Development of a Web-Based Chemical Laboratory Inventory System Using the Prototype Model
Pengelolaan inventaris pada laboratorium kimia yang masih dilakukan secara manual berpotensi menimbulkan berbagai permasalahan seperti kesalahan pencatatan stok, ketidaksesuaian data, serta keterlambatan dalam penyusunan laporan. Kondisi tersebut dapat menghambat efektivitas pengelolaan barang masuk dan keluar serta menyulitkan proses monitoring ketersediaan stok. Penelitian ini bertujuan untuk merancang dan mengembangkan sistem informasi inventory laboratorium kimia berbasis web guna mendukung...
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Optimization of Mangrove Glucomannan Addition to Improve Physicochemical Properties of Kefir
Jeki Mediantari Wahyu Wibawanti
; Zulfanita
; Dita Yuzianah
; Harisun Binti Ya’acob
; Anang Mohamad Legowo
; Setya Budi Muhammad Abduh
; Sri Mulyani
Kefir is widely recognized as a functional fermented dairy product. However, its physicochemical stability, particularly pH, acidity, and syneresis, remains a challenge during processing and storage. The addition of functional polysaccharides, such as mangrove-derived glucomannan, has been proposed to improve kefir quality. This study aimed to investigate the effect of mangrove-derived glucomannan on the physicochemical properties of kefir. A Completely Randomized Design with different concentra...
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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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PHYTOCHEMICAL SCREENING AND ANTIBACTERIAL ACTIVITY OF SOFT CORAL Nephthea sp. EXTRACT ISOLATED AGAINST Escherichia coli
Setyaningrum, Tri Wahyu
; Nurulfadilah
; Candri, Dining Aidil
; Dharmayani, Ni Komang Tri
; Ghazali, Mursal
; Faturrahman
This study aimed to evaluate the antibacterial potential of Nephthea sp. extract against Escherichia coli and to analyze the phytochemical constituents present in Nephthea sp. using various solvents. The extraction process was carried out using the maceration method with three different solvents: n-hexane, ethyl acetate, and methanol. The resulting extracts were analyzed through phytochemical screening and antibacterial activity assays. The results showed that Nephthea sp. extract contained seve...
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Miniature Medical Car Didukung dengan Pulse Arm Band Berbasis Algoritma XGBoost dalam Deteksi Pola Abnormal Detak Jantung
Walidin, Adamsyach Prana
; Kiswanto, Dedy
; Zai, Tri Sapta Warman
; Sagala, Fafmi
; Walidin, Adamsyach Prana
; Kiswanto, Dedy
; Zai, Tri Sapta Warman
; Sagala, Fafmi
Peningkatan kasus gangguan kardiovaskular menuntut adanya sistem pemantauan detak jantung yang tidak hanya akurat, tetapi juga mampu memberikan respons cepat terhadap kondisi abnormal. Penelitian ini bertujuan mengembangkan sistem pemantauan detak jantung berbasis Internet of Things (IoT) yang terintegrasi dengan algoritma Extreme Gradient Boosting (XGBoost) untuk mendeteksi pola detak jantung abnormal secara real-time serta memicu respons otomatis melalui Miniature Medical Car. Metode penelitia...
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Sistem Informasi Penjualan Toko Dmelz Berbasis Web Menggunakan Laravel
Transformasi digital menjadi kebutuhan penting bagi usaha kecil untuk meningkatkan efisiensi dan daya saing. Toko Dmelz, sebuah usaha kuliner rumahan, awalnya masih mengandalkan sistem penjualan manual melalui media sosial, yang sering menimbulkan kesalahan pencatatan, keterlambatan proses, dan kesulitan dalam pembuatan laporan. Penelitian ini bertujuan merancang dan mengembangkan sistem informasi penjualan berbasis web untuk mengotomatisasi proses pemesanan, pengelolaan produk, dan pelaporan pe...
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Implementation of a Decision Support System to Improve the Objectivity of Selecting High-Aching Students Using the SAW Method at SMAS PGRI Kurnia
Akmal, Fadlan Muhammad
; Gustafi, Muhammad Fauzan
; Akmal, Fadlan Muhammad
; Gustafi, Muhammad Fauzan
Pemilihan siswa berprestasi di sekolah seringkali dilakukan secara manual dan berpotensi menimbulkan subjektivitas dalam pengambilan keputusan. Penelitian ini bertujuan untuk menerapkan Sistem Pendukung Keputusan (SPK) menggunakan metode Simple Additive Weighting (SAW) guna meningkatkan objektivitas, transparansi, dan efisiensi dalam proses seleksi siswa berprestasi. Penelitian dilakukan pada satu sekolah dengan melibatkan 20 alternatif siswa dan empat kriteria penilaian yang telah ditentukan bo...
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Ekosistem Bisnis Digital: Analisis Faktor Kesuksesan UMKM Generasi Z di Indonesia
DHARMA EKONOMI
(2026)
Digital transformation has reshaped the landscape of MSMEs in Indonesia, particularly those managed by Generation Z. This study aims to analyze key success factors of Generation Z MSMEs in building sustainable digital business ecosystems. The research employs a systematic literature review methodology by analyzing various academic sources, industry reports, and related publications from 2019-2024. Findings reveal five primary success factors: adaptive digital technology adoption, high digital li...
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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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