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All Journal APPA : Jurnal Pengabdian Kepada Masyarakat Jurnal Kecerdasan Buatan dan Teknologi Informasi
Nafiah
Universitas Pamulang
Computer Science & IT Economics, Econometrics & Finance Education Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology

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Pendampingan Self-Service QRIS sebagai Upaya Akselerasi Digitalisasi UMKM Menuju Ekosistem Cashless Society di Kelurahan Ciputat Nafiah; Budianto; Ahmad Asep Suhendi
APPA : Jurnal Pengabdian Kepada Masyarakat Vol 4 No 2 (2026): APPA : Jurnal Pengabdian kepada Masyarakat 
Publisher : Shofanah Media Berkah

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

Abstract

Perkembangan teknologi digital mendorong perubahan sistem transaksi dari pembayaran tunai menuju pembayaran non-tunai sebagai bagian dari transformasi ekonomi digital. Namun, pemanfaatan sistem pembayaran digital pada pelaku Usaha Mikro, Kecil, dan Menengah (UMKM) di Kelurahan Ciputat masih belum optimal karena rendahnya literasi digital, terbatasnya pemahaman mengenai Quick Response Code Indonesian Standard (QRIS), serta minimnya pendampingan dalam proses registrasi dan implementasinya. Kegiatan Pengabdian kepada Masyarakat ini bertujuan meningkatkan kemampuan pelaku UMKM dalam mengadopsi sistem pembayaran digital melalui pendampingan berbasis self-service. Metode pelaksanaan meliputi identifikasi kebutuhan mitra, sosialisasi digitalisasi UMKM, pelatihan penggunaan QRIS, pendampingan registrasi dan aktivasi QRIS secara mandiri, praktik penggunaan sistem pembayaran digital, serta monitoring dan evaluasi. Hasil kegiatan menunjukkan bahwa pendekatan self-service mampu meningkatkan pemahaman dan keterampilan peserta dalam mengoperasikan QRIS sebagai metode pembayaran digital. Sebagian besar peserta berhasil melakukan registrasi dan aktivasi QRIS secara mandiri serta mulai menerapkan transaksi non-tunai dalam aktivitas usahanya. Implementasi QRIS memberikan kemudahan dalam proses transaksi, meningkatkan efisiensi operasional, membantu pencatatan transaksi secara lebih tertata, serta mendukung peningkatan kualitas pelayanan kepada konsumen. Program ini juga berkontribusi terhadap percepatan digitalisasi UMKM dan mendorong terbentuknya ekosistem cashless society di Kelurahan Ciputat.
Analysis of Shopee App User Behavior Patterns Using the K-Means Algorithm and RFM Model (Case Study: ZR Store) Nafiah; Pamela Kareen
Jurnal Kecerdasan Buatan dan Teknologi Informasi Vol. 5 No. 3 (2026): September 2026
Publisher : Ninety Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69916/jkbti.v5i3.622

Abstract

The rapid growth of e-commerce in Indonesia has led to an increase in transaction volumes and user activity on online shopping platforms, such as the Shopee app. Large-scale transaction data can be leveraged to understand user behavior patterns, enabling companies to formulate more effective and targeted marketing strategies. This study aims to analyze the behavior patterns of Shopee app users using the Recency, Frequency, Monetary (RFM) method and the K-Means clustering algorithm. The RFM method is employed to assess customer characteristics based on the time of the last transaction (Recency), transaction frequency (Frequency), and total customer expenditure (Monetary). Subsequently, the K-Means algorithm is applied to segment users based on similarities in their transaction behavior. The dataset comprises 200 customers, with attributes including customer code, transaction date, age, gender, quantity of items purchased, shipping type, product category, and payment method. Using the K-Means algorithm, customers were grouped into three clusters: C1 (Loyal Customers), C2 (Less Loyal Customers), and C3 (New Customers). The results indicate that 90 customers fell into category C1, 39 into category C2, and 71 into category C3. Regarding rankings, the maximum rank (RRank_max) was 50 with an obtained rank value of 12.0; for Frequency (Frank), the value was 2 with a maximum rank (Frank_max) of 12.29; and an Mrank of 48.8 was obtained.
Co-Authors Ahmad Asep Suhendi Budianto Pamela Kareen