Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Aksen : Journal of Design and Creative Industry Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Jurnal Inovatif Wira Wacana
Valentina, Ivana
Unknown Affiliation
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Ekstraksi Perilaku Pasien Pada Kunjungan Poliklinik Rumah Sakit Menggunakan FP-Growth Liliawati, Swat Lie; Toba, Hapnes; Ayub, Mewati; Mu’min, Aziz; Valentina, Ivana; Metayani, Vanessa; Nava, Vardina
Jurnal Inovatif Vol. 2 No. 3 (2023): Desember 2023
Publisher : Universitas Kristen Wira Wacana Sumba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58300/inovatif.v2i3.681

Abstract

Penerapan sistem informasi management rumah sakit (SIMRS) pada sebuah rumah sakit dapat memberikan pengetahuan baru dalam melakukan pengelolaan rumah sakit dan memungkinkan manajemen rumah sakit untuk memperoleh data pasien dalam jumlah besar mengenai kunjungan pasien. Salah satu tantangan dalam menggunakan big data di rumah sakit adalah ekstraksi perilaku pasien dalam melakukan kunjungan ke poliklinik di rumah sakit. Perilaku kunjungan pasien ini merupakan faktor yang sangat penting bagi pihak management rumah sakit untuk mengambil keputusan yang tepat. Dalam penelitian ini menggunakan metode association rules untuk mengekstrak data kunjungan pasien agar dapat menghasilkan informasi yang baik dan dapat dipahami perilaku kunjungan pasien di rumah sakit. Hasil penelitian ini menunjukan bahwa dengan metode association rules dapat mengekstraksi data kunjungan pasien dan menghasilkan aturan asosiasi yang kuat pada perilaku kunjungan pasien.
PERANCANGAN INTERIOR TOKO OLEH-OLEH DAN KAFETARIA BRAWIJAYA UNTUK MEMPERKUAT BRAND PERUSAHAAN Valentina, Ivana; Kusumowidagdo, Astrid; Wardhani, Dyah Kusuma
Aksen : Journal of Design and Creative Industry Vol. 4 No. 2 (2020): Aksen : Journal of Design and Creative Industry
Publisher : Universitas Ciputra Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37715/aksen.v4i2.1313

Abstract

One of Indonesian’s cultures is bring back souvenirs for their friends and relatives when they travel. Souvenirs usually present a specialty of a certain place. Brawijaya Istana Oleh-Oleh is a souvenir shop in Batu which sells souvenirs, such as snacks, clothes, and accessories. Brawijaya’s facilities are cafeteria, Islamic prayer room (musholla), hostel, rest area, parking space, and bathrooms with hot water. Cafeteria and clothes retail store are the areas that will be designed. Cafeteria in Brawijaya is leased for group of tourists. It doesn’t sell foods, the foods are provide by outsource local caterings. The featured products of clothes retail store are batik fabric and t-shirt that produced by local small and medium retailers. Brawijaya’s visions are to becomethe most complete and affordablesouvenir shop in Batu and also make cooperation with local small and medium retailers and artists. The design has to pay attention of circulation path and room organization to ease consumers finding products. Design of Brawijaya’s cafeteria and clothes retail store using “Connecthings” as the concept, which means, “connect things” connecting Brawijaya’s vision and consumer’s need into layout arrangement and interior design. The application concepts are by locating featured products, which produced by local and medium retailers, in the most strategic place. Graphics on the wall is designed by local artist, to support Braiwjaya’s vision. Products displays in retail store are arranged based on Market Segments Grouping, in order to ease the tourists with the short shopping time finding their needs. Logo application is visually and philosophically implemented in the interior elements to strengthen Brawijaya’s branding.
Topic Analysis Video Debat Jelang Pemilu Presiden dan Wakil Presiden Tahun 2024 Valentina, Ivana; Mu’min, Aziz; Tanrico, Devion; Karnalim, Oscar
Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Vol 12 No 1 (2024): TEKNOIF APRIL 2024
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtif.2024.V12.1.29-35

Abstract

Several debates were held among presidential and vice presidential candidates to convey their ideas for the 2024 presidential general election (PEMILU). This research analyzes the topics discussed in the debates using Latent Dirichlet Allocation (LDA), K-means Clustering, and word tagging methods for each candidate pair. The K-Means Clustering method yielded more diverse and evenly distributed topics for each candidate pair, while LDA produced fewer topics but was more effective in identifying topics for candidate A. The K- Means Clustering method yielded more diverse and evenly distributed topics for each candidate pair, while LDA produced fewer topics but was more effective in identifying topics for candidate. These are somewhat consistent with previos works. A. In dataset 1 using the LDA model, candidate pairs A have a probability of 60%, B have a probability of 25%, and C have a probability of 0%. In dataset 2 using the K-Means model, candidate pairs A have a probability of 37.04%, B have a probability of 25%, and C have a probability of 17.24%. In dataset 2 using the LDA model, candidate pairs A have a probability of 100%, B have a probability of 40%, and C have a probability of 0%. In dataset 2 using the K-Means model, candidate pairs A have a probability of 35.71%, B have a probability of 14.29%, and C have a probability of 28.57%.
Co-Authors Astrid Kusumowidagdo Dyah Kusuma Wardhani Hapnes Toba Liliawati, Swat Lie Metayani, Vanessa Mewati Ayub Mu’min, Aziz Mu’min, Aziz Nava, Vardina Oscar Karnalim, Oscar Tanrico, Devion