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Menampilkan 1–6 dari 6 artikel
Penerapan Algoritma Linear Regression Dalam Memprediksi Harga Saham Bank BRI
Andi Diah Kuswanto
; Auliya Putri Amanda
; Yoseba Priscilla
; Maranatha Magdalena
; Ananti Putri Safira
; Izza Maulida
Switch : Jurnal Sains dan Teknologi Informasi
Vol 1
, No 6
(2024)
Investment is the act of placing funds in the hope of getting additional money or profits. Basically, investing involves placing a certain amount of funds today in the hope of making a profit in the future. From this understanding, it can be concluded that stock investment is the allocation of current sources of funds with the hope of gaining profits in the future through purchasing securities in the form of shares. The aim is to obtain additional or certain profits from the funds invested in tr...
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Penerapan K-Means Clustering Untuk Menentukan Jumlah Pengangguran Berdasarkan Umur : Studi Kasus Di Badan Statistik Provinsi DKI Jakarta 2020-2022
Andi Diah Kuswanto
; Azumardi Nabil Fadhila
; Paulus Tri Setiawan
; Muhammad Kevin Setiawan
; Dody Renal Syahputra
Repeater : Publikasi Teknik Informatika dan Jaringan
Vol 2
, No 3
(2024)
Unemployment is a persistent problem in the labor market, thus hampering economic development and national prosperity. Indonesia, including its capital Jakarta, continues to face significant levels of unemployment compared to neighboring countries. This research focuses on analyzing the structure of unemployment in Jakarta using K-Means Clustering to categorize unemployment data based on age groups (2020-2022) sourced from the Central Statistics Agency. Analysis carried out via RapidMiner reveal...
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Analisa Data Shopping Trends Menggunakan Algoritma Klasifikasi Dengan Metode Naive Bayes
Andi Diah Kuswanto
; Said Imam Puro
; Jodi Hariyan
; Ridho Rafliansyah
; Muhammad Rival Aziz
; Pebro Vaulina Rajagukguk
Repeater : Publikasi Teknik Informatika dan Jaringan
Vol 2
, No 3
(2024)
In the era of rapid digitalization, understanding consumer behavior through data is becoming increasingly important for retail businesses. Shopping trends, such as those contained in this study, provide in-depth insights into various aspects of consumer behavior, from demographics to purchasing preferences and patterns of discount usage. This data is invaluable in formulating effective marketing strategies, improving customer experience, and optimizing business operations. The data used in this...
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Penerapan Algoritma Apriori Dalam Analisis Keranjang Belanja Retail Di Wilayah Jawa Barat
Andi Diah Kuswanto
; Achmad Rizqullah Blessar
; Abdul Goni
; Arya Nibras Nayottama Sidiki
; Oke Rizki Abdullah Haryu
; Hafid Anhar Hamiki
Saturnus: Jurnal Teknologi dan Sistem Informasi
Vol 2
, No 3
(2024)
Market basket analysis is an important technique in data mining used to understand consumer purchasing patterns. This research uses the Apriori algorithm to identify relationships between products in the shopping basket, aiming to improve sales and marketing strategies in the retail industry. The focus of this study is on retail transaction data from West Java Province, which has a large and diverse population, reflecting complex consumer purchasing patterns. The research identifies several key...
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Penerapan Algoritma C4.5 Dalam Klasifikasi Prestasi Atlet: Studi Kasus Pada Daftar Nama Penerima Penghargaan Tahun 2023
Andi Diah Kuswanto
; Hotman Nicolas Badjo
; Septian Kharist
; Muhammad Zayyid Mubarok
; Riski Saputra
; Rivaldi Muhamad Fitroh
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Vol 2
, No 3
(2024)
This study aims to apply the C4.5 algorithm in classifying athlete performance based on the 2023 award recipient list. The C4.5 algorithm was chosen for its ability to construct decision trees that can identify patterns and characteristics distinguishing high-performing athletes. The data used in this study includes various attributes such as gender, age, sport, number of medals, and level of competition participation. The results show that the C4.5 algorithm can classify athletes with high accu...
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Penerapan Algoritma C4.5 dalam Klasifikasi Prestasi Atlet: Studi Kasus pada Daftar Nama Penerima Penghargaan Tahun 2023
Andi Diah Kuswanto
; Hotman Nicolas Badjo
; Septian Kharist
; Muhammad Zayyid Mubarok
; Riski Saputra
; Rivaldi Muhamad Fitroh
Modem : Jurnal Informatika dan Sains Teknologi
Vol 2
, No 3
(2024)
This study aims to apply the C4.5 algorithm in classifying athlete performance based on the 2023 award recipient list. The C4.5 algorithm was chosen for its ability to construct decision trees that can identify patterns and characteristics distinguishing high-performing athletes. The data used in this study includes various attributes such as gender, age, sport, number of medals, and level of competition participation. The results show that the C4.5 algorithm can classify athletes with high accu...
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