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All Journal SURYA BETON - Fakultas Teknik EDUNOMIC : JURNAL ILMIAH PENDIDIKAN EKONOMI FAKULTAS KEGURUAN DAN ILMU PENDIDIKAN Jurnal Penelitian Sains Journal TABARO Agriculture Science Bernas Pendas : Jurnah Ilmiah Pendidikan Dasar Journal TEPAT: Teknologi Terapan untuk Pengabdian Masyarakat Literasi: Jurnal Ilmiah Pendidikan Bahasa, Sastra Indonesia dan Daerah Social, Humanities, and Educational Studies (SHEs): Conference Series KONSELING: Jurnal Ilmiah Penelitian dan Penerapannya Jurnal Ilmiah ASET Jurnal Fakultas Teknik UNISA Kuningan Jurnal Kompilasi Hukum Surya Beton : Jurnal Ilmu Teknik Sipil Jurnal Riset Farmasi Journal of Innovation Research and Knowledge Jurnal Mata Pariwisata Prosiding University Research Colloquium Jurnal Media Administrasi TOFEDU: The Future of Education Journal RJOCS (Riau Journal of Computer Science) Journal of Accounting, Management, Economics, and Business APPA : Jurnal Pengabdian Kepada Masyarakat Neraca Manajemen, Akuntansi, dan Ekonomi Prosiding Seminar Nasional Unimus Indonesian Journal of Economics and Strategic Management UTAMA: Jurnal Pariwisata Prima Notasi: Jurnal Pendidikan Matematika EDUNOMIC : JURNAL ILMIAH PENDIDIKAN EKONOMI FAKULTAS KEGURUAN DAN ILMU PENDIDIKAN Majelis: Jurnal Hukum Indonesia Jurnal Online Skripsi Manajemen Rekayasa Konstruksi (JOS-MRK) JURNAL PENDIDIKAN DAN KEBUDAYAAN MISSIO International Journal of Entrepreneurship and Tourism
AGUNG SETIAWAN
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Journal : RJOCS (Riau Journal of Computer Science)

 1 
Visualisasi BigQuery Data Penjualan Toko Sembako Menggunakan Flatfrom Loker Studio Zai, Feri Irawan; Riki Mustafa, Satria; Aini, Yulfita; Agung Setiawan; Maulana Dwi Sena
RJOCS (Riau Journal of Computer Science) Vol. 10 No. 1 (2024): RJOCS (Riau Journal of Computer Science)
Publisher : Fakultas Ilmu Komputer, Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjocs.v10i1.2403

Abstract

In today's digital era, grocery stores often use the Loker Studio and BigQuery platforms to analyze their sales data. In this study, we analyzed data on grocery store sales using this platform. First of all, we collect sales data from grocery stores that use the Loker Studio platform. This data includes information such as sales dates, products sold, prices, sales quantities, and more. We then transfer this data to BigQuery, a powerful database and data analytics platform. Next, we perform the data analysis steps using BigQuery. We use queries to analyze sales trends, find bestselling products, identify customer buying patterns, and evaluate grocery store performance over time. In addition, we also conduct customer segmentation analysis to understand their preferences and buying habits. The results of this data analysis provide valuable insights to grocery stores. By looking at sales trends, grocery stores can identify popular products and increase their stock. Analyzing customer purchasing patterns helps grocery stores optimize marketing strategies and target promotional campaigns more effectively. In addition, customer segmentation analysis enables grocery stores to provide more personalized and relevant services to their customers. By using the Loker Studio and BigQuery platforms, grocery stores can easily collect, manage and analyze their sales data. This helps them in taking better decisions and improving their business performance
Implementasi Business Intelligence Untuk Analisa Dan Visualisasi Data Honda Menggunakan Platform Data Studio Lullail, Jamalul; Agung Setiawan; Fimawahib, Luth; Yulfita Aini
RJOCS (Riau Journal of Computer Science) Vol. 10 No. 1 (2024): RJOCS (Riau Journal of Computer Science)
Publisher : Fakultas Ilmu Komputer, Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjocs.v10i1.2579

Abstract

Sektor otomotif menghasilkan banyak data dari berbagai sumber yang dapat membantu bisnis dengan memberikan informasi yang bermanfaat untuk membuat keputusan terbaik. Namun, karena kompleksitasnya, data ini sulit dievaluasi dan diinterpretasikan secara manual. Tujuan proyek ini adalah untuk menggunakan alat Business Intelligence (BI) Google Data Studio untuk menganalisis dan memvisualisasikan data rating produk Honda. Pendekatan ini memiliki signifikansi penting dalam konteks bisnis mobil dan rencana pemasaran Honda. Honda merupakan salah satu produsen terkemuka solusi transportasi fleksibel, cepat, dan tangkas bagi pelanggannya. Namun, pemahaman preferensi konsumen sangat penting dalam membuat keputusan strategis terkait kesuksesan kampanye pemasaran serta kemungkinan pengembangan produk baru.Untuk mengevaluasi indikator kinerja penjualan termasuk pendapatan total dan laba kotor, dibutuhkan koneksi antara semua data penjualan menjadi database seperti BigQuery sebelum membuat laporan interaktif atau dashboard dengan tabel atau grafik sebagai representasi visual. Proyek ini memiliki implikasi penting bagi para profesional yang bekerja di industri otomotif yang tertarik melacak tren pasar melalui alat BI sambil mengoptimalkan proses pengambilan keputusan mereka berdasarkan wawasan interpretatif dari analisis rating pada produk-produk Honda
Co-Authors - Arimbi ACHMAD FAUZI Adyanata Lubis Ageng Putra Mulya Agus Sugiarto Agustono Agustono Aini, Yulfita Alan Febriansyah Alfath Nare Utama Ali Mahpudin Among Prayogo Andhika Rifki Prasetyo Andi Awaluddin Andi Firdawati Aninda Sri Rahayu Mastur Anselinus Kevin Munthe Arzaq - Assayyidah, Jasmine Audri Angelia Ignesia Bagus Naufal Cossy Maychandra Dalfin Susanto Denik Wirawati Diar Herawati Dwi Nanda Oktaviany Dwi Sulistyaningsih Eka Febrianti Eko Riyanto Ery Wahidatul Khasanah Failasufa, Hayyu Fauziyah febi nurul safitri Hadi Riyandi Hadita Haeruman Jayadi Hartoni Hartoni Hendra Harmain Herlin Rahmasari Hermawan Hermawan Heru Gunawan Hijria Hijria Iin Wariin Basyari Iin Wariin Basyari Imam Prasetiyo Imam Prasetiyo Imam Wahidin Indrawati Indrawati Iqbal albaihaqi Iskandar Sukmana Jihan Kartika Kartika Khikmawanto Khikmawanto Lola Kambuno Lullail, Jamalul Lutfia Uli Na’mah Lutfia Uli Na’mah Luth Fimawahib M Arief Haritsa Marsudi Marsudi Maulana Dwi Sena Muhamad Taufik Muhamad Taufik Muhamad Taufik Ningsih, Ellis Nurjuliasti Nopi Anggita Nubi Adzrul Idzihart Nur Aisyah Nur, Edil Wijaya Nuri Zakiyyah Nuriana Rachmani Dewi Nurmansyah Alami Nurmansyah Alami Pipit Ristiana Anggraini Rachman Maulana Kafrawi Rachmi Hariaty Hasan Rafiuddin Syam Rahimuddin Samad Rahmadani Rahmadani Rahmadani Rahmawati Nurul Jannah Rani Riska Ari Amalia Riyanto Wibowo Rizal Fauzi Rochmad Sarkawi Satria Riki Mustafa, Satria Riki Shifa Atiyatul Hasanah Soewondo, Budi Prabowo Sri Wahyudi Subekti Prasetio Subekti Prasetyo Sugeng Riyanto Suhaji Suhaji Sutarto Sutarto Syafrizal Hasibuan Syafruddin Rais, Syafruddin Syahril Syahrul AlQadri Syarifuddin Syarif Toni Ari Wibowo Venissa Dian Mawarsari Wieke, Erzy Asty Yoga Zahrudin Yulfita Aini Yuriska Zai, Feri Irawan Zakaria, Hadi