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Perancangan Sistem Informasi Pemesanan Di Plaza Meubel Jati Masrum
Rafli, Muhammad
; Winarso, Doni
; Abdullah, Faiz
; Safirda, Auril
; Mangapul, Riva
; Rafli, Muhammad
; Winarso, Doni
; Abdullah, Faiz
; Safirda, Auril
; Mangapul, Riva
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 5
, No 2
(2026)
Perkembangan teknologi informasi yang pesat menuntut organisasi bisnis untuk meningkatkan efisiensi operasional, namun CV. Plaza Meubel Jati Masrum yang berdiri sejak tahun 1982 masih menggunakan sistem pencatatan manual yang menimbulkan berbagai permasalahan, seperti data tidak terbaca, kesalahan penulisan, kesulitan memperoleh laporan keuangan dan laba rugi, hilangnya bukti soft file, serta ketidakpastian kedatangan barang restock dari pemasok. Penelitian ini bertujuan untuk merancang sistem i...
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Android Malware Detection Using Machine Learning with SMOTE-Tomek Data Balancing
Masari, Maryam Sufiyanu
; Danladi, Maiauduga Abdullahi
; Onyinye, Ilori Loretta
; Tohomdet, Loreta Katok
Journal of Computing Theories and Applications
Vol 3
, No 3
(2026)
This study presents a comprehensive comparative analysis of four traditional machine learning algorithms Decision Tree, Random Forest, K-Nearest Neighbors, and Support Vector Machine for Android malware detection using the preprocessed TUANDROMD dataset comprising 4,465 instances and 241 features representing both static and dynamic application characteristics. Motivated by the limitations of conventional signature-based and hybrid detection methods, especially in managing imbalanced datasets an...
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Pengaruh Struktur Modal dan Perputaran Aset Tetap terhadap Tingkat Pengembalian Aset pada PT Argo Pantes Tbk Periode 2013-2022
Populer: Jurnal Penelitian Mahasiswa
Vol 4
, No 4
(2026)
This study aims to examine and analyze the effect of capital structure and fixed asset turnover on return on assets (ROA) at PT Argo Pantes Tbk during the period 2013–2022. The research employs a quantitative method with a statistical analysis approach, using secondary data obtained from the company’s financial statements. The data analysis techniques include classical assumption tests, namely normality, multicollinearity, heteroscedasticity, and autocorrelation tests, followed by multiple linea...
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Analisis Sentimen X: Kegagalan Timnas ke Piala Dunia 2026 dengan Naive Bayes
Jurnal Elektronika dan Komputer
Vol 18
, No 2
(2026)
The performance of the Indonesian National Team (Timnas) in the 2026 World Cup qualifications has triggered massive and diverse responses on social media, particularly on platform X. This study aims to identify and classify public sentiment regarding Timnas Indonesia's performance into positive, negative, and neutral categories using a data mining approach. Text data was processed through pre-processing stages, term weighting using TF-IDF, and the application of the Synthetic Minority Over-sampl...
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Cultural and Digital Integration: Revitalization Strategy For Sumbawa Horse Racing As A Sustainable Tourism Destination at Angin Laut Biru Arena: Integrasi Budaya dan Digital: Strategi Revitalisasi Pacuan Kuda Sumbawa sebagai Destinasi Pariwisata Berkelanjutan di Arena Angin Laut Biru
RADIANT: Journal of Applied, Social, and Education Studies
Vol 7
, No 1
(2025)
This study examines a critical intervention in revitalizing intangible cultural heritage through digital symbiosis, focusing on the Sumbawa traditional horse race (Bare Spee) at Angin Laut Biru Arena. As a living embodiment of indigenous values including honor (siri'), communal solidarity (menyama braya), and ethno-ecological wisdom, this tradition faces erosion due to generational disconnect, infrastructural neglect, and rigid management practices. Addressing the lack of integrated digital and...
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Klasifikasi Huruf Hijaiyah Berbasis Citra Digital Menggunakan Metode Convolutional Neural Network (CNN)
Jurnal Elektronika dan Komputer
Vol 18
, No 2
(2025)
Hijaiyah letters have varying shapes, and some of them are very similar, often causing errors in the manual character recognition process. This study aims to classify Hijaiyah letters based on digital images using the Convolutional Neural Network (CNN) method. This method was used in this study with a dataset consisting of 28 letter classes and a total of 4,480 images obtained from various public sources and private data. All images underwent a preprocessing stage that included labeling, resizin...
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Klasifikasi Jenis Sampah Organik Dan Anorganik Menggunakan Convutional Neural Network Berbasis Citra Digital
Jurnal Elektronika dan Komputer
Vol 18
, No 2
(2025)
Waste has become a serious environmental problem in Indonesia, which continues to increase along with population growth. The issue of waste management poses serious challenges for the environment, especially in the process of separating organic and inorganic waste. In the field of computer vision, recognising the type and shape of waste through camera images remains a challenge due to variations in shape, colour, and complex lighting conditions. Therefore, this problem utilises Deep Learning tec...
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Nilai Edukatif dan Kearifan Lokal dalam Puisi Lampung untuk Pembentukan Karakter Peserta Didik SD
Andi Widiono
; Muhamad Alfarisi
; Ade Gunawan
; Adya Rosa Prasasti
; Fikriana Fikriana
; Titin Sarwendah
; Lutfi Guntur Eka Putra
; Aminuddin Maharani Abdullah
Inspirasi Dunia: Jurnal Riset Pendidikan dan Bahasa
Vol 4
, No 4
(2025)
Learning Indonesian language and literature in elementary schools plays an important role in shaping students' character through the integration of literary works based on local culture. Lampung poetry as a representation of local wisdom contains educational values, such as religiosity, respect for parents, polite language, mutual cooperation, and environmental awareness. This study aims to describe the educational values and local wisdom in Lampung poetry and their relevance to the character...
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Design Of Phantom Ultrasonography For Ultrasonography (USG) Calibration
MEDIKA TRADA : Jurnal Teknik Elektomedik Polbitrada
Vol 6
, No 2
(2025)
This study aims to design and build an Ultrasonography (USG) Phantom as an ultrasound calibration medium with more affordable materials but still meets quality and precision standards. The USG Phantom is designed using two basic materials, namely distilled water and engine oil, to then compare its performance in producing ultrasonic images. The research method used is an experiment with the stages of tool design, phantom manufacturing, and functional testing using Vertical and Horizontal Distanc...
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Design of Fetal Doppler Simulator for Fetal Doppler Calibration
MEDIKA TRADA : Jurnal Teknik Elektomedik Polbitrada
Vol 6
, No 2
(2025)
The Fetal Doppler Simulator for calibration is a device designed to ensure the accuracy and reliability of Fetal Doppler equipment in monitoring fetal heart rate. Traditionally, calibration of Fetal Doppler devices has relied on limited methods with relatively high costs. Therefore, an alternative calibration medium that is more economical, practical, and reliable is needed. This simulator functions by generating fetal heartbeat signals with various rhythm patterns, ranging from normal condition...
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