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All Journal Jurnal Pengabdian Masyarakat Bhinneka Jurnal Sistem Informasi, Akuntansi dan Manajemen
Nugraha, Rakha Adhi
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Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Public Health Social Sciences

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Analisis Pola Asosiasi Penggunaan Aplikasi Pemesanan Makanan Online Menggunakan Algoritma Fp-Growth Sari, Arina Nindya; Rizki, Dwita Amalia; Nugraha, Rakha Adhi
Jurnal Sistem Informasi, Akuntansi dan Manajemen Vol. 5 No. 3 (2025): SINTAMA: Jurnal Sistem Informasi, Akuntansi, dan Manajemen (September)
Publisher : Asosiasi Dosen Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54951/sintama.v5i3.1047

Abstract

This study aims to identify association patterns in the use of online food delivery applications by applying the FP-Growth algorithm. This research is important as it helps service providers understand consumer preferences and develop more effective promotional strategies. The method used is a quantitative data mining approach, analyzing 1,000 transactions using the FP-Growth algorithm implemented in Python. The results indicate that certain item combinations—such as main dishes and sweet beverages—are frequently ordered together, alongside a notable trend of multi-platform usage among consumers. The values of support, confidence, and lift reveal strong relationships between items. It is concluded that the FP-Growth algorithm is effective in identifying consumption patterns efficiently, and its findings can be utilized to develop menu recommendation systems or data-driven promotional strategies. Further research is recommended to incorporate time and location variables for more contextual analysis
Pengembangan Sistem Alat Bantu Entry Data Hasil Tani Bagi Petani Untuk Mendukung Kinerja BPS Kabupaten Pati Berbasis WEB Nugraha, Rakha Adhi; Darmanto, Eko
Jurnal Pengabdian Masyarakat Bhinneka Vol. 4 No. 2 (2025): Bulan November
Publisher : Bhinneka Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58266/jpmb.v4i2.711

Abstract

Badan Pusat Statistik (BPS) Kabupaten Pati memiliki peran penting dalam mengumpulkan dan mengelola data hasil pertanian, namun proses pencatatan masih dilakukan secara manual. Kondisi ini menyebabkan keterlambatan pelaporan serta meningkatnya risiko kesalahan pencatatan. Kegiatan pengabdian ini bertujuan untuk mengembangkan sistem alat bantu entry data hasil tani berbasis web yang sederhana, inklusif, dan mudah digunakan oleh petani serta petugas BPS. Metode pengembangan yang digunakan adalah model Waterfall yang meliputi tahapan analisis kebutuhan, perancangan, implementasi, dan pengujian. Hasil penerapan menunjukkan peningkatan efisiensi pengumpulan data hingga 60%, peningkatan akurasi pencatatan menjadi 100%, serta meningkatnya partisipasi petani dalam pelaporan data pertanian. Sistem ini terbukti mempermudah petani dalam memasukkan data hasil tani dan mempercepat proses pelaporan di BPS.
Co-Authors Eko Darmanto Rizki, Dwita Amalia Sari, Arina Nindya