Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Jurnal Teknologi dan Informasi Journal of Applied Data Sciences
Wartika, Wartika
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Perancangan Aplikasi DOCU (Dongkrak Cuan) sebagai Strategi IT dan Digital Marketing untuk Membantu Perusahaan dan UMKM Sitanggang, A S; Syafariani, R F; Sari, F W; Wartika, Wartika
Jurnal Teknologi dan Informasi (JATI) Vol 12 No 2 (2022): Jurnal Teknologi dan Informasi (JATI)
Publisher : Program Studi Sistem Informasi, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/jati.v12i2.8542

Abstract

Pada perkembangan zaman yang sudah sangat pesat dan sudah berkembangnya industri teknologi informasi, berbagai kegiatan bisnis dari yang terkecil sampai yang terbesar sangat memanfaatkan perkembangan ini untuk menjalankan usahanya. Salah satu cara agar pengusaha bisa menjalankan bisnis diantara banyaknya pesaing yaitu menggunakan digital marketing, digital marketing menjadi cara bagi pengusaha untuk memasarkan produk atau jasa yang sedang diminati oleh masyarakat. Dalam penelitian ini, penulis menggunakan metode Waterfall. Dimana metode ini dilakukan dengan pendekatan yang sistematis, mulai dari tahap kebutuhan sistem lalu menuju ke tahap analisis, desain, coding, testing/verification, dan maintenance. Dalam membuat rancangan aplikasi penulis menggunakan Flowchart, Data Flow Diagram, Diagram Konteks, ERD, dan Tabel Relasi. Hasil dari penelitian ini menghasilkan aplikasi DOCU dengan tujuan penggunaan IT/Digital Marketing dalam meningkatkan penjualan serta meningkatkan performa perusahaan/UMKM. Maka adanya aplikasi penyedia layanan jasa ini juga menjadi jembatan para perusahaan dan UMKM dalam meningkatkan pengetahuan dalam penggunaan teknologi IT dan Digital Marketing.
Exploring ADR Trends: A Data Mining Approach to Hotel Room Pricing, Cancellations, and EDA Hikmawati, Nina Kurnia; Ramdhani, Yudi; Wartika, Wartika
Journal of Applied Data Sciences Vol 5, No 1: JANUARY 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i1.165

Abstract

This study investigates the intricacies of hotel reservation cancellations by analyzing a comprehensive dataset that includes information from both City Hotel and Resort Hotel. Through a thorough examination of various aspects, the research provides detailed insights into cancellation tendencies, daily rates, seasonal trends, and the influence of geographic factors and market segments on cancellation behavior. The overall cancellation and non-cancellation ratios indicate a notable non-cancellation rate of 62.86%, showcasing a high level of guest confidence in their reservations. Conversely, the 37.14% cancellation ratio raises concerns about potential negative repercussions. A comparative analysis between City Hotel and Resort Hotel reveals a significant difference in cancellation rates, emphasizing the need for tailored strategies at City Hotel to enhance booking stability. The study on Average Daily Rate (ADR) for both hotels bring attention to price differences and seasonal trends. Resort Hotel's higher ADR suggests potential advantages in location or amenities. Seasonal trends, particularly the highest ADR during the summer, provide valuable insights for resource planning. The variation in cancellation rates based on countries emphasizes the importance of focused strategies in regions with high cancellation rates, as seen with Portugal having the highest cancellation rate (77.70%). Analysis of hotel customer market segments identifies Online Travel Agencies (OTA) as the segment with the highest cancellation rate (46.97%). These findings present opportunities for tailored marketing and cancellation policies based on the characteristics of each segment. In conclusion, this research offers strategic insights for hotel managers to enhance booking stability, design competitive pricing policies, and understand the impact of geographic factors and market segments on cancellation behavior.
Co-Authors Hikmawati, Nina Kurnia Sari, F W Sitanggang, A S Syafariani, R F Yudi Ramdhani