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Analisis Kinerja Metode Long Short-Term Memory (LSTM) dalam Klasifikasi Sentimen Ulasan Pengguna Shopee
Jurnal Elektronika dan Komputer
Vol 18
, No 2
(2026)
User reviews on the Shopee e-commerce platform represent an important source of information for understanding consumer perceptions of products and services. Sentiment analysis is commonly applied to classify user opinions into positive, neutral, and negative sentiment categories based on textual data. This study aims to analyze the performance of the Long Short-Term Memory (LSTM) method in sentiment classification of Shopee user reviews. The dataset used in this study consists of Indonesian-lang...
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Pengaruh Modal Usaha, Lokasi Usaha, Harga Jual dan Lama Usaha terhadap Pendapatan Usaha Mikro Kecil di Kelurahan Brang Biji
Wawasan : Jurnal Ilmu Manajemenx, Ekonomi dan Kewirausahan
Vol 4
, No 1
(2026)
A significant income gap occurred among 65 micro and small business units in Brang Biji Village, Sumbawa District, Sumbawa Regency even though they have similar business characteristics. This study aims to analyze the influence of business capital, business location, selling price, and business duration on the income of micro and small businesses partially and simultaneously. The study used an explanatory quantitative method with 55 samples selected through the Slovin formula and simple random s...
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Pengaruh Rasio Keuangan Terhadap Earning Per Share: Studi Sektor Makanan dan Minuman di Indonesia
Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN)
Vol 5
, No 1
(2026)
This study aims to analyze the effect of Current Ratio (CR), Debt to Asset Ratio (DAR), and Inventory Turnover on Earning Per Share (EPS). This research employs a quantitative method with a causal-comparative ex-post facto approach. The population includes food and beverage companies listed on the Indonesia Stock Exchange (IDX) for the 2020-2023 period. The sampling technique used purposive sampling, resulting in 10 companies with a total of 40 observations. Data analysis was conducted using mul...
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Pengaruh Kepemimpinan Demokratik terhadap Kinerja Karyawan Melalui Kedisiplinan sebagai Variabel Intervening pada Jambi Ekspres Televisi
Wawasan : Jurnal Ilmu Manajemenx, Ekonomi dan Kewirausahan
Vol 4
, No 1
(2026)
The purpose of the study is to determine the effect of democratic leadership on employee performance through work discipline as an intervening variable at PT Jambi Eskpres Televisi. This type of research is quantitative research. The population in this study were all employees of PT Jambi Ekspres Televisi, totaling 30 people, with a research sample of 30 people. Data collection used a questionnaire that had been tested for validity and reliability. The research analysis method used descriptive s...
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Hybrid Apriori–MST Framework for Revealing the Structural Backbone of Consumer Purchase Patterns
Jurnal Elektronika dan Komputer
Vol 18
, No 2
(2026)
Traditional association rule analysis is effective at uncovering co-purchase patterns but fails to provide a global structural view of the market, which often results in fragmented and isolated insights. This study proposes a hybrid framework that integrates the Apriori algorithm with a Minimum Spanning Tree (MST) in order to validate and contextualize association rules within a single structural backbone. Transaction data from a retail store are transformed into a weighted, undirected product g...
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Strategi Bertahan UMKM Kue di Tengah Persaingan Kuliner Modern
Wawasan : Jurnal Ilmu Manajemenx, Ekonomi dan Kewirausahan
Vol 4
, No 1
(2026)
The rapid growth of the modern culinary industry has created intense competition for Micro, Small, and Medium Enterprises (MSMEs), particularly traditional and home-based cake businesses. This situation requires cake MSMEs to adopt appropriate strategies in order to sustain their businesses. This study aims to analyze the survival strategies implemented by cake MSMEs amid modern culinary competition. The research employs a qualitative approach with a descriptive design. Data were collected throu...
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Implementasi Data Mining Pada Gangguan Tidur Berdasarkan Gaya HidupMenggunakan Metode K-Means Clustering
Zalmi, Indah Oktavia
; Faatin, Safinah
; Yunardus, Yunardus
; Sumanto, Sumanto
; Budiawan, Imam
; Pakpahan, Roida
; Zalmi, Indah Oktavia
; Faatin, Safinah
; Yunardus, Yunardus
; Sumanto, Sumanto
; Budiawan, Imam
; Pakpahan, Roida
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 5
, No 1
(2026)
Gaya hidup sehat (GHS) memiliki peran penting dalam menjaga kesejahteraan fisik dan mental, khususnya pada kalangan mahasiswa dan pekerja. Namun, tren gaya hidup modern yang semakin bersifat sedentari telah secara signifikan meningkatkan risiko munculnya berbagai masalah kesehatan seperti stres, penurunan konsentrasi, obesitas, dan penyakit kronis. Penelitian ini bertujuan untuk mengidentifikasi dan mengelompokkan individu berdasarkan profil gaya hidup dan kualitas tidur mereka menggunakan metod...
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Comparative Performance Evaluation of Electric Powertrains in ICE Motorcycle Conversion
Rusli, Muhammad Rizani
; Binugroho, Eko Henfri
; Nugroho, Mochamad Ari Bagus
; Maulana, Himmawan Sabda
; Dewanto, Raden Sanggar
; Ariwibowo, Teguh Hady
; Pramadihanto, Dadet
; Jati, Mentari Putri
Advance Sustainable Science, Engineering and Technology
Vol 8
, No 1
(2026)
Electrifying Indonesia’s motorcycle fleet is critical for reducing urban emissions and fossil fuel dependence. This study experimentally evaluates three powertrain configurations—hub motor, continuously variable transmission (CVT), and single-gear ratio—for converting internal combustion engine (ICE) motorcycles to electric two-wheelers (E2W). Using a Honda Vario 125 platform with a 72 V, 3 kW Brushless DC motor and 1.44 kWh lithium-ion battery, performance was assessed via chassis dynamometer a...
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Predictive Analysis of Dengue Outbreak Trends Using RapidMiner-Based Machine Learning Models
Dinamik
Vol 31
, No 1
(2026)
Demam berdarah dengue merupakan tantangan kesehatan masyarakat yang terus berulang di wilayah tropis, termasuk Indonesia. Penelitian ini bertujuan untuk memprediksi jumlah kasus tahunan dengan memanfaatkan lima algoritma pembelajaran mesin, yaitu Regresi Linier, Decision Tree, Random Forest, Support Vector Machine (SVM), dan Neural Network. Data historis tahun 2017–2024 diolah menggunakan teknik windowing deret waktu untuk menghasilkan fitur lag yang sesuai bagi pembelajaran terawasi. Evaluasi k...
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Comparasi Model Deepseek dan OpenAI dalam Meningkatkan Efisiensi Pencarian Informasi pada Sistem Pencarian Algoritma
Dinamik
Vol 31
, No 1
(2026)
This study evaluates the efficiency of two artificial intelligence models, DeepSeek and OpenAI, in generating code for algorithmic systems. Efficiency is assessed through execution speed, code accuracy, and the number of code characters produced. Data were collected from 100 tests covering search, sorting, graph, dynamic programming, optimization, data processing, text, and machine learning algorithms. The objective is to compare the performance of both models to support the development of effic...
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