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Menampilkan 21–30 dari 2741 artikel
Building spatial skills in a fun way: Exploring cube learning through a joyful approach
Spatial ability is a crucial component of learning geometry, particularly with cube materials that require students to visualize three-dimensional objects, perform mental rotation, and understand relationships among faces. This study aims to describe students' spatial abilities through the implementation of Joyful Learning in class IX.3 of SMP Negeri 17 Palembang. The research employed a descriptive design with a final sample of 34 students. Instruments included a spatial ability test based on f...
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Pembuatan Dan Penerapan Pupuk Organik Cair (Kocor) di Kebun Lordes Dalam Upaya Meningkatan Pertumbuhan Tanaman Melon (Cucumis melo L.)
Bria, Deseriana
; Mamo, Wenselaus
; Aja, Lorensius Yustianus
; Ndua, Natalia Desy Djata
; Naisali, Hyldegardis
; Tay, Delviana
; Naitili, Alexandria
The study aimed to develop and apply liquid organic fertilizer (kocor) in Lordes Farm to improve the growth and productivity of melon (Cucumis melo L.). The production of liquid fertilizer was carried out through fermentation using brown sugar, EM4, humic acid, and urea as nutrient sources, producing a nutrient-rich liquid suitable for soil application. The application was conducted by drenching the fertilizer around the root zone at regular intervals. The results showed that liquid organic fert...
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A Nonlinear mathematical model of student motivation dynamics with an empirical calibration framework and simulation analysis
Radhiatul Husna
; Angelina Zaskya Hulda
; Indah Rahmadani
; Miftahul Jannah
; Muhammad Zikra
; Najla Nafisa Arsy
; Nanda Putra Kartama
Student learning motivation is a dynamic construct that changes over time in response to support, academic pressure, and fatigue. However, many existing studies examine motivation only at a single point in time or rely on descriptive approaches, limiting their ability to quantify how motivation evolves. This study develops a nonlinear mathematical model of student motivation dynamics and links the model to an empirical calibration framework. The proposed model represents motivation as a bounded...
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Tantangan Desentralisasi Fiskal Era UU HKPD: Tinjauan Kepustakaan atas Implikasi Resistensi Wajib Pajak Kendaraan Bermotor terhadap Kapasitas Keuangan Kota Semarang
Zidni Muntaha Ridho
; Nayzilla Mega Rahmadhani
; Aisyah Nur Fadila
; Kharisma Ilmi Alawy Wahbiyah
; Dewi Arimbi Burhandani Piliang
; Beryl Shira Filiandri
; Risma Tria Syahrani
; Melda Fadiyah Hidayat
; Revienda Anita Fitrie
DHARMA EKONOMI
(2026)
The implementation of regional autonomy and fiscal decentralization aims to enhance local governments' financial independence. However, fiscal imbalances between the central and regional governments led to the enactment of Law Number 1 of 2022 (UU HKPD), designed to strengthen regional fiscal capacity. This law introduces a piggyback tax system through a surcharge on the Motor Vehicle Tax. This study analyzes the dynamics of the piggyback tax system in Semarang City, focusing on the implications...
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Design and Optimization of an Automated Ceramic Drying System Using Arduino for Small and Medium Enterprises
The ceramic drying process in Small and Medium Enterprises (SMEs) often relies on ambient conditions, leading to prolonged drying times and inconsistencies in product quality. This study presents the design and optimization of an automated ceramic drying system that utilizes an Arduino-based microcontroller to regulate temperature and airflow in real-time. A full factorial experimental design was employed to investigate the influence of two critical parameters—temperature (35°C, 40°C, 45°C) and...
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Algoritma Apriori untuk Menganalisis Pola Pembelian Produk di PT. Tridaya Medima Sakti
WillaWiranata, Danniel Riyantus
; Sihotang, Fransiska Prihatini
; WillaWiranata, Danniel Riyantus
; Sihotang, Fransiska Prihatini
Ketidakseimbangan antara tingkat persediaan dan permintaan pasar dapat mengakibatkan kelebihan stok, meningkatnya biaya penyimpanan, dan meningkatnya risiko kerusakan produk. PT. Tridaya Sakti Medima, sebuah perusahaan distribusi farmasi yang berlokasi di Palembang, menghadapi tantangan serupa dalam mengelola persediaannya. Penelitian ini bertujuan untuk menganalisis pola pembelian dengan menerapkan teknik penambangan data menggunakan algoritma Apriori dan untuk merancang sistem rekomendasi prod...
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Experimental Analysis of Voltage and Multi-Point Temperature Distribution in a 6S Lithium-Ion Battery Pack Under Constant Current Loading
Lithium-ion batteries are widely utilized in energy storage applications; however, temperature non-uniformity remains a critical issue affecting performance, safety, and lifespan. This study presents an experimental investigation of the correlation between voltage and multi-point temperature distribution in a 6S lithium-ion battery pack under a constant ±5 A charge–discharge current. Temperature measurements were obtained from three sensor locations to capture spatial thermal variations during o...
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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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Supply Chain Performance Evaluation in the Pulley Manufacturing Industry Using Supply Chain Operations Reference and Analytical Hierarchy Process
Supply chain performance is critical to the efficiency of make-to-order manufacturing systems, where waste such as waiting, rework, unnecessary motion, overprocessing, and transportation still occurs at several workstations. These inefficiencies prolong production time and reduce overall effectiveness. This study aims to measure supply chain performance, determine the relative importance of performance metrics, and establish improvement priorities. The research integrates the Supply Chain Operat...
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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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