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All Journal Techno.Com: Jurnal Teknologi Informasi Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Jurnal Eksplora Informatika SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan IJISTECH (International Journal Of Information System & Technology) Informasi Interaktif Jurnal Tekno Kompak JEMMA | Journal of Economic, Management and Accounting Jurnal Teknologi Informasi dan Multimedia Jurnal Manajemen Informatika dan Sistem Informasi Management and Sustainable Development Journal IJISTECH ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Jurnal Interaktif: Warta Pengabdian Pendidikan (JIWPP) MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA Bakti Sekawan : Jurnal Pengabdian Masyarakat
Rifqi Hammad
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Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Geolocation data incorporation in Mapbox for comprehensive mapping of tourism areas on Lombok Island Rifqi Hammad; Pahrul Irfan; M Thoric Panca Mukti
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 14 No. 1 (2024): Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

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

Abstract

Lombok Island is one of the islands that has many tourist areas. With so many tourist areas spread to various regions on the island of Lombok, an accurate and comprehensive tourist area mapping system is needed. The problem faced is that the existing mapping is still constrained regarding accuracy and data persistence. The solution offered in this research is the incorporation of geolocation data on the Mapbox platform to improve the accuracy and detail of data in mapping tourism areas on the island of Lombok. In this research, there are several stages carried out starting from data collection to testing. This research results in a tourist area mapping information system that applies geolocation data incorporation on Mapbox. The test results show an increase in accuracy of 8% from the previous mapping and a usability test score of 81 which means that the system developed is acceptable or feasible by users.
Optimization of data integration using schema matching of linguistic-based and constraint-based in the university database Rifqi Hammad; Azriel Christian Nurcahyo; Ahmad Zuli Amrullah; Pahrul Irfan; Kurniadin Abd. Latif
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 11 No. 3 (2021): Matrix: Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v11i3.119-129

Abstract

University requires the integration of data from one system with other systems as needed. This is because there are still many processes to input the same data but with different information systems. The application of data integration generally has several obstacles, one of which is due to the diversity of databases used by each information system. Schema matching is one method that can be used to overcome data integration problems caused by database diversity. The schema matching method used in this research is linguistic and constraint. The results of the matching scheme are used as material for optimizing data integration at the database level. The optimization process shows a change in the number of tables and attributes in the database that is a decrease in the number of tables by 13 tables and 492 attributes. The changes were caused by some tables and attributes were omitted and normalized. This research shows that after optimization, data integration becomes better because the data was connected and used by other systems has increased by 46.67% from the previous amount. This causes the same data entry on different systems can be reduced and also data inconsistencies caused by duplication of data on different systems can be minimized.
Comparative Analysis of Stock Price Prediction Using Deep Learning with Data Scaling Method I Nyoman Switrayana; Rifqi Hammad; Pahrul Irfan; Tomi Tri Sujaka; Muhammad Haris Nasri
Jurnal Teknologi Informasi dan Multimedia Vol. 7 No. 1 (2025): February
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v7i1.650

Abstract

The dynamic and unpredictable nature of stock prices makes accurate forecasting an important challenge in financial analysis. This study aims to compare the performance of three deep learning models, namely, Recurrent Neural Network (RNN), Gated Recurrent Unit (GRU), and Long Short-Term Memory (LSTM) in predicting stock prices on historical daily banking data from Yahoo Finance. The main objective is to determine the model that is best able to capture sequential patterns and temporal dependencies in stock price movements. Each model was trained and op-timized through data scaling, namely MinMax Scaler and Standard Scaler, with performance evaluated using Root Mean Square Error (RMSE) as the primary metric. Results show that while the RNN provides a basic approach, the GRU and LSTM models produce higher prediction accuracy, with GRU achieving the lowest RMSE thanks to its better ability to maintain long-term depend-encies. The RMSE achieved by RNN, GRU, and LSTM were 211.47, 158.89, and 197.45, respectively. The lowest error results were achieved when using MinMax Scaler. The use of MinMax Scaler here shows a better performance improvement with an average improvement of 22.57% compared to using Standard Scaler. This comparative analysis contributes to providing empirical insight into the relative effectiveness of the tested architectures. The findings suggest that the combination of GRU and MinMax Scaler can be a more reliable tool for financial forecasting, with the potential to develop more robust stock prediction applications under fluctuating market conditions.
Penerapan Sistem Informasi UMKM (SI-UM) berbasis web untuk meningkatkan pemasaran dan pengelolaan keuangan sahabat UMKM NTB Kurniadin Abd Latif; Rini Adriani Auliana; Rifqi Hammad
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 8, No 4 (2024): December
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v8i4.26783

Abstract

Abstrak Sahabat UMKM NTB merupakan salah satu komunitas UMKM yang ada di provinsi Nusa Tenggara Barat. Sahabat UMKM NTB sebagai mitra dalam kegiatan pengabdian ini memiliki anggota lebih dari 50 yang terlibat pada kegiatan tersebut. Permasalahan yang diahadapi oleh mitra adalah permasalahan dalam bidang pemasaran dan pengelolaan keuangan. Solusi yang ditawarkan oleh tim pengabdi adalah penerapan sistem informasi UMKM yang dapat membantu dalam pemasaran dan pengelolaan keuangan. Sehingga tujuan dari kegiatan pengabdian ini adalah membantu mitra dalam menerapkan sistem informasi UMKM yang dapat membantu mitra dalam pemasaran produk UMKM dan juga pengelolaan keuangannya. Metode yang dilakukan dalam kegiatan ini terdiri dari 6 tahapan yaitu sosialisasi, pengembangan sistem infromasi, pelatihan pendapingan, evaluasi dan keberlanjutan program. Hasil dari kegiatan ini adalah berupa penerapan sistem informasi UMKM yang dapat digunakan oleh mitra dalam memabntu mengatasi permasalahan di bidang pemasaran dan pengelolaan keuangan. Kata kunci: sahabat UMKM; pengabdian; sistem informasi umkm; pemasaran; pengelolaan keuangan Abstract Sahabat UMKM NTB is one of the MSME communities in West Nusa Tenggara province. Sahabat UMKM NTB as a partner in this service activity has more than 50 members involved in the activity. The problems faced by partners are problems in marketing and financial management. The solution offered by the service team is the implementation of an MSME information system that can assist in marketing and financial management. So that the purpose of this service activity is to assist partners in implementing MSME information systems that can help partners in marketing MSME products and also managing their finances. The method carried out in this activity consists of six stages, namely socialization, information system development, mentoring training, evaluation and program sustainability. The result of this activity is the implementation of an MSME information system that can be used by partners in overcoming problems in marketing and financial management. Keywords: sahabat UMKM; devotion; MSME information system; marketing; financial management
DIGITALISASI PEMBAYARAN KOS DAN HOMESTAY BERBASIS WEB MENGGUNAKAN VIRTUAL ACCOUNT DAN CONTENT-BASED FILTERING Yusril Mahenra Mahenra; Husain; Rifqi Hammad
Jurnal Manajemen Informatika dan Sistem Informasi Vol. 9 No. 2 (2026): MISI Juni 2026
Publisher : LPPM STMIK Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36595/misi.v9i2.1995

Abstract

Perkembangan pesat teknologi informasi dan komunikasi telah membawa perubahan signifikan pada berbagai sektor layanan, termasuk layanan akomodasi sementara seperti kos dan homestay. Namun demikian, proses pemesanan dan pembayaran masih sering dilakukan secara manual, yang mengakibatkan keterlambatan verifikasi pembayaran, ketidakakuratan pencatatan transaksi, serta kurangnya transparansi. Selain itu, pengguna kerap mengalami kesulitan dalam memilih hunian yang sesuai akibat banyaknya pilihan yang tersedia tanpa dukungan sistem rekomendasi yang memadai. Penelitian ini bertujuan untuk mengembangkan sistem pemesanan kos dan homestay berbasis web yang terintegrasi dengan pembayaran digital menggunakan Virtual Account, serta dilengkapi dengan sistem rekomendasi berbasis Content-Based Filtering yang memanfaatkan metode TF-IDF dan Cosine Similarity. Pengembangan sistem dilakukan menggunakan model Waterfall, dengan PHP dan JavaScript untuk implementasi web, Python Flask sebagai layanan rekomendasi, serta MySQL sebagai basis data. Sistem rekomendasi bekerja dengan mengolah konten hunian seperti fasilitas, lokasi, dan deskripsi untuk menghitung tingkat kemiripan dan menghasilkan rekomendasi Top-N. Hasil penelitian menunjukkan bahwa sistem berhasil mengintegrasikan fitur pemesanan, rekomendasi, dan pembayaran digital. Pengujian fungsional menunjukkan seluruh fitur sistem berjalan dengan baik, sementara pengujian sistem rekomendasi membuktikan kemampuannya dalam memberikan saran hunian yang relevan sesuai preferensi pengguna. Penggunaan Virtual Account memungkinkan verifikasi pembayaran secara otomatis serta meningkatkan transparansi transaksi. Secara keseluruhan, sistem yang dikembangkan mampu meningkatkan efisiensi dalam proses pemesanan dan pembayaran, sekaligus membantu pengguna dalam memilih hunian yang tepat melalui rekomendasi yang dipersonalisasi. Penelitian ini memberikan kontribusi dalam integrasi sistem pembayaran digital dan sistem rekomendasi dalam satu platform berbasis web untuk layanan akomodasi sementara.
Co-Authors Ahmad Ahmad Ahmad Ahmad Zuli Amrullah Ahmad Zuli Amrullah Andi Sofyan Anas Dwinda Etika Profesi Eka Wahyu Sholeha Fatimatuzzahra Fatimatuzzahra Gilang Primajati Habib Ratu Perwira Negara Hairani Hairani Hany Pebrianti Hasan, Nur Fitrianingsih Hasbullah Hasbullah Husain I Nyoman Switrayana Kaharuddin Khairan marzuki Kurniadin Abd Latif Kusrini Lalu Erwin Jannata Arhaditya Listra Frigia Missianes Horhoruw M Thoric Panca Mukti M. Rasyid Ridho Muhammad Arfa Muhammad Haris Nasri Muhammad Innuddin MUHAMMAD TAJUDDIN Muhammad Zulfikri Muhammad Zulfikri Musthofa Galih Pradana Nanang Samudra Nurcahyo, Azriel Christian Pahrul Irfan Pahrul Irfan Pahrul Irfan Pahrul Irfan Ria Rismayati Rini Adriani Auliana rodhi, mohammad najib Rukmin Ulfa Ayu Lestari Suriyati ., Suriyati Syahrir, Moch. Tomi Tri Sujaka Tomi Tri Sujaka Veny Cahya Hardita Veny Cahya Hardita Yunita, Selviana Yusril Mahenra Mahenra