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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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Pengaruh Review TikTok Food Vlogger terhadap Keputusan Pembelian Kuliner Kekinian di Kalangan Gen Z
Wawasan : Jurnal Ilmu Manajemenx, Ekonomi dan Kewirausahan
Vol 4
, No 1
(2026)
The purpose of this study is to examine how food vlogger reviews on the social media platform TikTok influence Generation Z's decisions to purchase modern foods. The development of this platform as a short video platform has changed digital marketing patterns, particularly in the culinary industry, which is highly dependent on visual appeal and customer recommendations. Consumer perceptions and responses to culinary review content were studied using descriptive qualitative methods in this resear...
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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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Pengaruh Penempatan Kerja, Fringe Benefits dan Fasilitas Kerja Terhadap Kinerja Karyawan Jawa Pos Kediri
Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN)
Vol 5
, No 1
(2026)
This research aims to analyze the influence of job placement, fringe benefits, and work facilities on the performance of employees at Jawa Pos Kediri, both partially and simultaneously. The method used is quantitative with a descriptive and associative approach. Data were collected through the distribution of questionnaires to 50 respondents who are employees of Jawa Pos Kediri. The data analysis techniques used include multiple linear regression, t-test (partial), F-test (simultaneous), and the...
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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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PENGARUH SUBTITUSI TEPUNG PATI GANYONG TERHADAP RASA DAN TEKSTUR KUE BROWNIES
Jurnal Agrifoodtech
Vol 4
, No 2
(2026)
Indonesia merupakan negara yang kaya akan sumber daya alam, termasuk berbagai jenis umbi-umbian yang berpotensi dimanfaatkan sebagai bahan pangan alternatif, salah satunya adalah umbi ganyong. Penelitian ini bertujuan untuk mengetahui pengaruh substitusi tepung pati ganyong terhadap rasa dan tekstur brownies, serta tingkat kesukaan konsumen terhadap brownies. Penelitian ini menggunakan metode eksperimen dengan pendekatan kuantitatif. Perlakuan yang diberikan berupa substitusi tepung pati ganyong...
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Implementasi Algoritma FP-Growth Untuk Menemukan Pola Hubungan Antar Barang pada Transaksi Penjualan
Nadia, Nadia
; Tripasha, Ghina
; Atya, Nur
; Sutejo, Heru
; Nadia, Nadia
; Tripasha, Ghina
; Atya, Nur
; Sutejo, Heru
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 4
, No 2
(2026)
This study is motivated by the problem faced by Toko Polirindo, where sales transaction data are stored only as archives and have not been utilized for analytical purposes, resulting in unstable product availability, recurring stock shortages, and difficulties in predicting customer purchasing behavior; therefore, this research aims to identify patterns of item associations that frequently occur together by applying the Association Rule Mining method using the FP-Growth algorithm, which is recog...
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Prediksi Aritmia pada Lansia mengunakan Linear Regression berdasarkan Data Ekg
Dinamik
Vol 31
, No 1
(2026)
This study aims to develop a predictive model using linear regression to identify potential arrhythmias in the elderly based on electrocardiogram (ECG) data. Data were collected through observations at healthcare facilities from elderly patients with indications of arrhythmia, then preprocessed such as cleaning, normalization, feature selection, and outlier checking were carried out. The features used include PR interval, QRS duration, QT interval, and heart rate. The dataset was divided into tr...
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Prediksi Jumlah Donor Darah menggunakan Pendekatan WMA dI Kantor PMI Kabupaten Asahan
Dinamik
Vol 31
, No 1
(2026)
The rapid development of information technology in today's digital era has significantly impacted organizational performance, particularly in data management and resource planning. One organization that heavily relies on accurate data availability is the Indonesian Red Cross (PMI), especially its Blood Donor Unit (UDD). UDD PMI of Asahan Regency faces challenges in determining monthly blood donor targets to maintain stable blood stock. A shortage of blood supply can be fatal for patients requiri...
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Identifikasi Aritmia pada Lansia menggunakan Algoritma K-Nearest Neighbor berdasarkan Data ElektroKardiogram
Siahaan, Maherni
; Panjaitan, Sabina
; Purba, Agnes Alvionita
; Cahya, Mutiara
; Simarmata, Allwin M.
Dinamik
Vol 31
, No 1
(2026)
Aritmia merupakan gangguan irama jantung yang umum terjadi pada lansia dan dapat menimbulkan risiko kesehatan serius jika tidak terdeteksi secara dini. Penelitian yang dilakukan bertujuan untuk mengidentifikasi aritmia pada lansia menggunakan algortima K- Nearest Neighbor (KNN) berdasarkan data elektrokardiogram (EKG). Data yang digunakan berjumlah 105 data EKG lansia yang diperoleh dalam format CSV. Proses awal melibatkan pembersihan dan normalisasi data menggunakan metode StandardScaler, serta...
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