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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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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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Sentiment Analysis in User Reviews of Tourist Attractions in East Nusa Tenggara Using Machine Learning Classification
Journal of Multimedia Trend and Technology
Vol 5
, No 1
(2026)
This study aims to analyze user review sentiments for six tourist attractions in East Nusa Tenggara Province by utilizing a large amount of review data obtained from Google Maps. Data was collected through a scraping process using Serp API, followed by cleaning and text pre-processing to improve data quality. Sentiment labeling was performed automatically using the Indo-BERT model to obtain three sentiment classes: positive, negative, and neutral. Text feature representation was performed using...
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Analisis Penerimaan Pengguna terhadap Gamifikasi Shopee Games dan Dampaknya pada Perilaku Pembelian Online: Perspektif Technology Acceptance Model (TAM)
Penelitian ini bertujuan menganalisis penerimaan pengguna terhadap fitur gamifikasi Shopee Games serta dampaknya terhadap perilaku pembelian online menggunakan kerangka Technology Acceptance Model (TAM). Pendekatan kuantitatif dengan metode survei diterapkan pada 100 responden pengguna Shopee Games. Analisis jalur berbasis regresi berganda digunakan untuk menguji hubungan antar konstruk TAM: persepsi kemudahan penggunaan (PEOU), persepsi kegunaan (PU), sikap penggunaan (ATU), niat perilaku (BI),...
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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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Design of a Web-Based Regional Tax Document Archiving Information System
Anugrah, Roki Aula
; Friansyah, Ilham Gantar
; Waidah, Dina Fara
; Anugrah, Roki Aula
; Friansyah, Ilham Gantar
; Waidah, Dina Fara
Manajemen arsip dokumen pajak daerah memegang peranan penting dalam mendukung administrasi dan pelayanan publik di Badan Pendapatan Daerah (Bapenda). Sistem pengarsipan manual yang masih digunakan menimbulkan berbagai permasalahan, seperti risiko kehilangan dokumen, kerusakan arsip fisik, serta keterlambatan dalam proses pencarian. Penelitian ini bertujuan untuk merancang sistem informasi arsip dokumen pajak daerah berbasis web pada Bapenda Kabupaten Karimun. Pendekatan kualitatif dengan metode...
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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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HUBUNGAN PEMBERIAN ASI EKSKLUSIF DAN MAKANAN PENDAMPING ASI DENGAN KEJADIAN STUNTING DI PERKOTAAN
Masitoh, Siti
; Syam, Heriza
; Jehanara, Jehanara
; Kusumastuti, Ani
; Debbiyantina, Debbiyantina
; Aulani, Fitria
Jurnal Kesehatan Masyarakat Indonesia
Vol 21
, No 1
(2026)
Latar Belakang: Masalah kesehatan gizi yang signifikan di Kota Serang adalah prevalensi stunting. Asupan gizi, khususnya ASI eksklusif dan makanan tambahan, berdampak signifikan terhadap pertumbuhan balita dan merupakan faktor penyebab stunting. Tujuan: Untuk menguji korelasi antara ASI eksklusif dan makanan pendamping, bersama dengan usia ibu, pendidikan, pekerjaan, dan paritas, dengan prevalensi stunting di wilayah Puskesmas Singandaru, Kota Serang. Metode: Penelitian ini menggunakan pendekata...
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Evaluating Civil Servant Selection through Machine Learning Analysis of National Insight, General Intelligence, and Personal Characteristics Test Scores
This study analyzes the score distribution of 2,490 candidates in the 2024 Ministry of Finance Public sector recruitment, focusing on the CNI, GIT, and PCT sections using machine learning classification. Models used include Logistic Regression (accuracy 0.7897), Random Forest (0.9779), and XGBoost (0.9809), all trained with default parameters (n_estimators=100, max_depth=None) and evaluated using accuracy, precision, recall, and F1-score. While ensemble models outperformed Logistic Regression, t...
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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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