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Paradise, Paradise
Universitas Telkom
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Penguatan Ekonomi Komunitas Bunga Indah Baturaden (KOBIBA) Melalui Optimalisasi Sistem Informasi Website Untuk Penyebaran Informasi dan Promosi Digital Paradise, Paradise; Hidayat, Chusnul Maulidina; Arum, Maliana Puspa
Abdiformatika: Jurnal Pengabdian Masyarakat Informatika Vol. 5 No. 2 (2025): November - Abdiformatika: Jurnal Pengabdian Masyarakat Informatika
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/abdiformatika.v5i2.279

Abstract

Komunitas Bunga Indah Baturaden (KOBIBA) merupakan kelompok pelaku usaha hortikultura yang berfokus pada budidaya dan penjualan bunga potong dan tanaman hias di Kecamatan Baturaden, Kabupaten Banyumas. Meskipun memiliki potensi ekonomi besar, pemasaran produk masih didominasi cara tradisional dan belum memanfaatkan teknologi digital secara optimal. Program Pengabdian kepada Masyarakat ini bertujuan untuk meningkatkan daya saing dan kinerja pemasaran komunitas melalui implementasi sistem informasi berbasis website sebagai sarana penyebaran informasi, katalog produk, dan strategi promosi digital. Website dikembangkan sebagai etalase online yang memungkinkan pengelolaan konten secara mandiri oleh pengurus KOBIBA. Program meliputi identifikasi kebutuhan mitra, sosialisasi, pelatihan pengelolaan website, pendampingan, dan evaluasi. Hasil kegiatan menunjukkan peningkatan kapasitas digital anggota komunitas, tersedianya website sebagai media promosi resmi, serta berkembangnya pola pemasaran berbasis teknologi. Program ini sejalan dengan SDGs poin 8 dan 9, khususnya terkait penguatan ekonomi produktif dan pengembangan infrastruktur teknologi berbasis masyarakat.
Implementasi Smart Tourism dengan Teknologi Digital untuk Meningkatkan Daya Tarik dan Keberlanjutan Ekowisata pada Desa Kemutug Lor Baturaden Maliana Puspa Arum; Paradise Paradise; Adnan Setyoko
BANTENESE : JURNAL PENGABDIAN MASYARAKAT Vol. 7 No. 2 (2025): Bantenese: Jurnal Pengabdian Masyarakat
Publisher : Pusat Studi Sosial dan Pengabdian Masyarakat Fisipkum Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/ps2pm.v7i2.11497

Abstract

This election school activity originated from concerns about the impact of the 2020 Regional Head Elections This Community Service activity was carried out with the aim of supporting the development of ecotourism potential in Kemutug Lor Village, Baturaden District, through the implementation of a smart tourism concept based on digital technology. Partners in this activity are the administrators of the Kemutug Lor Tourism Village who have a crucial role in the management and development of nature- and culture-based tourism potential. Kemutug Lor Village has interesting natural and cultural potential, but still faces challenges in the aspects of promotion, tourism information management, and the sustainability of tourism activities. Through this program, the implementing team carried out several stages of activities, namely identifying tourism potential, socializing the concept of smart tourism, developing a digital system in the form of a smart website management, digital marketing training for tourism managers and the community, and mentoring the implementation of technology in a sustainable manner. The results of the activity showed an increase in the capacity of the tourism village administrators in utilizing technology for tourism promotion and management, as well as the formation of an integrated digital tourism information system. Thus, the implementation of smart tourism in Kemutug Lor Village was able to increase the attractiveness of the destination, expand the reach of promotions, and support the sustainability of community-based ecotourism.
Pembuatan Aplikasi Desktop Sistem Rekomendasi Penentuan Status Gizi Ibu Hamil Berdasarkan Pola Makan Meka Patricia Maharani; Paradise Paradise
eProceedings of Engineering Vol. 13 No. 1 (2026): Februari 2026
Publisher : eProceedings of Engineering

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

Abstract

Stunting merupakan kondisi terganggunya pertumbuhan anak di bawah lima tahun yang disebabkan oleh kekurangan nutrisi dalam jangka waktu panjang serta infeksi yang terjadi berulang kali. Kedua faktor tersebut sering kali dipengaruhi oleh pola pengasuhan yang kurang optimal. Oleh karena itu, diperlukan suatu sistem rekomendasi untuk pencegahan stunting yang berfungsi membantu calon ibu memahami kebutuhan nutrisi selama kehamilan serta mempermudah konsultasi terkait pencegahan stunting. Sistem ini juga memberikan pengingat terhadap asupan gizi harian agar ibu hamil dapat menjaga keseimbangan nutrisi. Rancang bangun sistem rekomendasi ini dikembangkan menggunakan metode forward chaining dengan pendekatan eksperimental, bertujuan untuk menghasilkan informasi yang rasional mengenai hubungan antara pencegahan stunting dan kebutuhan nutrisi ibu hamil. Kata kunci— gizi, sistem rekomendasi, ibu hamil
Comparison of Airdrop Coin Prices in Cryptocurrency Using LSTM: A Case Study of Grass, Not Pixel, and Dogs Coins Fatih, Muhamad Ardi Al; Paradise, Paradise; Nugroho, Nicolaus Euclides Wahyu
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 6 No. 3 (2026): MALCOM July 2026
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v6i3.2748

Abstract

The distribution of airdrops across the cryptocurrency ecosystem often leads to extreme price volatility, complicating data-driven strategic decision-making for investors. This study aims to implement a Long Short-Term Memory (LSTM) architecture to predict airdrop coin prices and integrate the results into an interactive dashboard-based Decision Support System (DSS). The research methodology employs a Recursive Multi-step Forecasting strategy to model nonlinear time-series data across three case studies: GRASS, NOT PIXEL, and DOGS, covering the period from August 2024 to March 2026. Data were obtained via the CoinGecko API v3 and evaluated using MSE, MAE, RMSE, and MAPE metrics. The experimental results demonstrate that the LSTM model achieved high accuracy with MAPE values of 10.75% for GRASS, 6.29% for NOT PIXEL, and 6.73% for DOGS, with NOT PIXEL recording the best overall performance. The primary contribution of this research is the transformation of numerical projections into automated decision signals (Strong Buy, Hold, Caution, and Strong Sell) integrated into the DSS. In conclusion, this system serves as an effective tool for mitigating investment risk, providing strategic guidance to airdrop cryptocurrency users amid dynamic market fluctuations.
Analysis of the Effectiveness of Loyalty Membership Programs in Increasing Customer Retention Using Net Promoter Score (NPS) with Information System Support Virdies Nur C Cahya; Refius Setyanto; Paradise Paradise
Eduvest - Journal of Universal Studies Vol. 5 No. 9 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i9.52060

Abstract

This study analyzes the effectiveness of membership loyalty programs in increasing customer retention using Net Promoter Score (NPS) with the support of information systems. Loyalty programs are one of the effective strategies in maintaining long-term relationships with customers. However, its success relies heavily on the right measurement of customer satisfaction, one of which is through NPS. NPS provides clear insights into customer loyalty levels by distinguishing between "promoters" and "detractors". Information systems play an important role in supporting the collection and analysis of customer data in real-time, enabling companies to create more personalized and relevant offers. Through the Systematic Literature Review (SLR) approach, this study reviewed various literature related to the implementation of loyalty programs, NPS measurement, and the role of information systems in improving customer retention. The results show that a combination of relevant loyalty programs, effective NPS measurement, and supportive information systems can create a better customer experience, increase satisfaction, and strengthen customer loyalty. This research also provides recommendations for companies in optimizing the use of information technology and periodic evaluation of loyalty programs to achieve maximum results in customer retention.
Co-Authors Adnan Setyoko Ahmad, Muhammad Aliif Aiza Yudha Pratama Alika, Shintia Dwi Amalia Beladinna Arifa Arif Budiman Asro Nasiri Aufa Salsabila Nahrowi Aulia Burhanuddin Auliya Burhanuddin Buananta, Septian Eka Ady Chusnul Hidayat Chusnul Maulidina Hidayat Eva Rahma Indriyani Fatih, Muhamad Ardi Al Gladi Pawestri Utami I Anna Tul Munikhah Khusnul Fauziah Kusrini Laila Isyriyah Mahmood, Jamilah Maliana Puspa Arum Meka Patricia Maharani Merlinda Wibowo Merlinda Wibowo Merlinda Wibowo Merlinda Wibowo Mudawil Qulub Muhammad Afrizal Amrustian Muhammad Eka Purbaya Muhammad Yusril Aldean Munthe, Adrian Wismar Nicolaus Euclides Wahyu Nugroho Novanda Alim Setya Nugraha Pawit Widiyantoro Rakhmad Maulidi Refius Setyanto Rifki Adhitama, Rifki Riqqah Fadiyah Alya Saputra, Sandra Sarah Astiti S.Kom., M.MT Shaquille Akbar Demsi Silvia Van Marsally Teguh Rijanandi Veithzal Rivai Zainal Vera Wati Virdies Nur C Cahya Wahyu Adi Prabowo Wahyu Adi Prabowo wahyu prabowo Wibowo, Fahrudin Mukti Yogo Dwi Prasetyo Yuliana Yuliana Yuliana Yuliana Yuliana Yuliana, Yuliana