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All Journal Syntax Jurnal Informatika Jurnal Informatika dan Teknik Elektro Terapan Journal of Information System Systematics Scientific Journal of Informatics Edukasia: Jurnal Pendidikan dan Pembelajaran Jurnal Komputer dan Teknologi (JUKOMTEK)
Bagja Nugraha
Universitas Singaperbangsa Karawang
Computer Science & IT Education Languange, Linguistic, Communication & Media Library & Information Science Mathematics Other

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Analisis Kinerja Penjualan Menggunakan Business Intelligence Berbasis KPI (Studi Kasus: Yarage Coffee House) Wilda Aprilia Mustika Sari; Bagja Nugraha; Ahmad Khusaeri
Jurnal Informatika dan Teknik Elektro Terapan Vol. 14 No. 3 (2026)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v14i3.10096

Abstract

Yarage Coffee House has implemented a Point of Sale (POS) system to record sales transactions; however, the generated data has not been optimally utilized as an information source to support analysis and business decision-making. Sales data is still presented in the form of simple reports, making it difficult to monitor overall sales performance. This study aims to analyze sales performance using a Business Intelligence approach based on Key Performance Indicators (KPI) with supporting Pareto ABC analysis. The research was conducted through the stages of data collection, KPI Modeling, Extract, Transform, Load (ETL) process, data analysis, and result interpretation. KPI determination was based on information needs obtained through interviews and validated using the SMART method. The results show that the implementation of KPI-based Business Intelligence was able to transform transaction data into more structured and informative information presented through an interactive dashboard using Tableau. The analysis results indicate total revenue of IDR 38,770,000 with a total of 1,238 transactions. Pareto ABC analysis shows that Category A contributed a cumulative 77% of total revenue, thereby supporting more effective and data-driven business decision-making.
RANCANG BANGUN SISTEM INFORMASI PENJUALAN BERBASIS WEB MENGGUNAKAN ALGORITMA APRIORI SEBAGAI PENDUKUNG STRATEGI PEMASARAN PADA KEDAI KOPI WENGI Muhamad Farhan Ramadhan; Bagja Nugraha; Siska
Jurnal Informatika dan Teknik Elektro Terapan Vol. 14 No. 3 (2026)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v14i3.10594

Abstract

Penelitian ini bertujuan membangun Sistem Informasi Penjualan (Point of Sales/POS) berbasis web dengan implementasi Algoritma Apriori di Kedai Kopi Wengi untuk mengatasi kelemahan pencatatan konvensional. Menggunakan metode Waterfall, penelitian ini mengolah dataset riil sebanyak 532 transaksi (Februari–April 2026) dengan konfigurasi Minimum Support 3% dan Minimum Confidence 20%. Pengujian fungsionalitas sistem dilakukan melalui metode Black Box Testing dan User. Hasil penelitian menunjukkan sistem POS berhasil mendigitalisasi operasional kasir melalui fitur Split Payment dan Lock Screen. Modul Apriori menghasilkan 3 aturan asosiasi kuat untuk rekomendasi bundling produk, salah satunya kombinasi Kentang + Filter Coffee (Confidence 28,99%). Pengujian Black Box menyatakan seluruh fungsi sistem 100% valid dan sinkron dengan perhitungan manual. Kesimpulannya, sistem ini layak digunakan sebagai penunjang keputusan pemasaran berbasis data (data-driven marketing) untuk meningkatkan omzet dan mengoptimalkan stok menu.
Co-Authors Abdurahman Azis Lasawali Adnyana, I Ketut Widhi Agung Susilo Yuda Irawan Ahmad Khusaeri Aimede Primackof Pouryono Ali, Enjang Yusup Arip Solehudin Baihaqi, Kiki Ahmad Billy Ibrahim Hasbi Candra Zonyfar Fahmi Fahmi Farhan Ali Abidin Garno, Garno Intan Purnamasari Kevin Sipahutar Muhamad Farhan Ramadhan Muhammad Furqon Huwaidy Rini Mayasari Rosalin Theophilia Tayane Siska Taufik Ridwan Wicaksono, Freddy Wilda Aprilia Mustika Sari