Article Per Year (5 Year)
p-Index From 2019 - 2024
0.562
P-Index
This Author published in this journals
All Journal Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal Teknologi Sistem Informasi dan Aplikasi
Mochamad Habibie Dwi Prasetyo
Universitas Trunojoyo Madura
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Education Social Sciences

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

Found 3 Documents
Search

 1 
EDUKASI PENERAPAN DIGITAL MARKETING BEBASIS SISTEM INFORMASI CHATBOT PADA BUMDES DESA KLAMPAR Prita Dellia; Sigit Dwi Saputro; Muhamad Afif Effindi; Mochamad Habibie Dwi Prasetyo; Hurin In Liaf Detina; Ira Sentiawati; Charlista Angel Puspita Ghozal
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 6, No 12 (2023): Martabe : Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v%vi%i.%p

Abstract

Perkembangan teknologi informasi dan komunikasi telah mengubah paradigma bisnis, mempengaruhi usaha-usaha kecil dan menengah, termasuk Badan Usaha Milik Desa (BUMDES) Desa Klampar, Kabupaten Pamekasan, menjadi contoh potensial dalam pemanfaatan digital marketing dan sistem informasi chatbot untuk memperluas jangkauan pasar serta meningkatkan pendapatan. Hasilnya menunjukkan peningkatan efisiensi pemasaran, kualitas layanan, dan kepercayaan pelanggan. Penerapan teknologi ini bisa menjadi solusi efektif untuk meningkatkan daya saing BUMDES dan usaha kecil lainnya di era digital. Studi ini memberikan panduan bagi BUMDES lain dalam mengadopsi teknologi serupa guna meningkatkan kinerja mereka.
Pengembangan Sistem Informasi Rekomendasi Wisata Kalimatan Timur Berbasis Web Menggunakan Metode Item-Based Collaborative Filtering Etistika Yuni Wijaya; Mochamad Habibie Dwi Prasetyo; Farina Aprillia Kartika; Renny Puji Astutik; Quin Audi Tasya Effendy
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 6 No. 4 (2023): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The development of a tourism object is an important sector in the development of an area to support the economic power of the people in the area, this also applies to the East Kalimantan province.  In order to improve the tourist experience, the development of a tourist recommendation information system is a necessity. This research discusses the development of a web-based Tourism Recommendation Information System and Tourism Chatbot specifically for East Kalimantan Province.Item-Based Collaborative Filtering method is implemented in the development of this system. This method utilizes historical data of user preferences to recommend suitable tourist destinations. The data collected includes user preferences for various attractions, such as location, facilities, and types of activities. The development process starts from data collection and processing, building a web information system, to integration with a chatbot.Tourist Recommendation Information System provides recommendations for tourist destinations tailored to user preferences. Through a user-friendly web interface, users can explore interactive maps, find out the details of attractions, and see reviews from previous visitors. In addition, the Tourism Chatbot provides real-time information and recommendation services to users through an instant messaging platform. The trial results show that the Item-Based Collaborative Filtering method is able to provide recommendations that are relevant to user preferences. Users feel more assisted in planning their travel trips. The system also succeeded in increasing user interaction and engagement through the use of a responsive chatbot.In conclusion, the development of a web-based Tourism Recommendation Information System and Tourism Chatbot with the Item-Based Collaborative Filtering method can be an effective solution in improving the tourist experience in East Kalimantan Province. This system provides accurate recommendations and empowers users to plan a better and memorable tour.
Pengembangan Sistem Informasi Rekomendasi Pemilihan Batik Klampar, Pamekasan Berbasis Chatbot Menggunakan Chatbase Website Prita Dellia; Sigit Dwi Saputro; Muhamad Afif Effindi; Mochamad Habibie Dwi Prasetyo; Hurin In Liaf Detina; Ira Setiyawati; Renny Puji Astutik; Charlista Angel Puspta G
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 6 No. 4 (2023): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research discusses the development of a recommendation information system to make it easier for customers to select and purchase Klampar batik in Pamekasan. This process is often complicated because it involves many factors such as various motifs, quality and prices of batik on the market. To overcome this challenge, we developed a chatbot-based system using the Chatbase Website platform. This approach involves a preliminary study to identify customer problems, an analysis of their needs, and a literature review of current recommendation systems and chatbot technology. This research designs the architecture of a web-based chatbot system, determines a recommendation algorithm based on customer preferences, and integrates a database containing information on various motifs, prices and quality of Klampar batik. Next, build a user-friendly website and chatbot, train a recommendation model with historical customer data, and integrate the system with social media and popular messaging services to reach more customers. This research conducts system testing to ensure optimal performance and evaluates customer responses to chatbot recommendations. The results show that customers feel more confident in choosing Klampar batik after using this system. Additionally, the system also provides manufacturers with insight into customer preferences, which can be used to improve their production and offerings. This research concludes that the development of a chatbot-based Klampar batik recommendation information system with the Chatbase Website can overcome initial problems in selecting batik in Pamekasan.
Co-Authors Charlista Angel Puspita Ghozal Charlista Angel Puspta G Etistika Yuni Wijaya Farina Aprillia Kartika Hurin In Liaf Detina Ira Sentiawati Ira Setiyawati Muhamad Afif Effindi, Muhamad Afif Prita Dellia Quin Audi Tasya Effendy Renny Puji Astutik Renny Puji Astutik Sigit Dwi Saputro