Analisis dan Visualisasi Data Operasional Menggunakan Business Intelligence sebagai Pendukung Pengambilan Keputusan Strategis pada Bank Sampah Di Lawangan Daya

Penulis

  • Wulidati Trixiana Penulis
  • Resty Amylia Margareta Penulis

Kata Kunci:

Intelijen Bisnis, Analisis Data, Visualisasi Data, Sistem Pendukung Keputusan (SPK), Bank Sampah

Abstrak

Bank sampah menghasilkan data operasional seperti data nasabah, jenis dan volume sampah, serta transaksi yang belum dimanfaatkan secara optimal untuk evaluasi dan pengambilan keputusan karena belum diolah dan disajikan secara jelas. Penelitian ini bertujuan menganalisis dan memvisualisasikan data operasional Bank Sampah Lawangan Daya menggunakan Business Intelligence (BI) sebagai pendukung pengambilan keputusan strategis. Penelitian menggunakan metode deskriptif kuantitatif dengan pengumpulan data melalui observasi, wawancara, dan dokumentasi. Data kemudian diproses melalui tahap pembersihan data, ETL (Extract, Transform, Load), penyimpanan dalam data warehouse, analisis, dan visualisasi dalam bentuk dashboard, dengan menggunakan data simulasi periode Januari-Juni. Hasil penelitian menunjukkan bahwa jumlah nasabah aktif meningkat dari 28 menjadi 43 orang, dengan total 563 transaksi, sampah terkumpul sebanyak 2.204 kg, dan pendapatan sebesar Rp6.612.000. Volume sampah naik sekitar 60% dari Januari ke Juni, terutama karena bertambahnya jumlah nasabah, sedangkan rata-rata setoran per nasabah relatif stabil sekitar 10-11 kg per bulan. Plastik menjadi jenis sampah terbanyak (742 kg atau sekitar 34%), diikuti kertas dan kardus. Dashboard BI menyajikan indikator utama, tren bulanan, dan perbandingan jenis sampah secara ringkas. Dapat disimpulkan bahwa Business Intelligence membantu pengelola memantau kinerja operasional dan menentukan strategi, seperti perekrutan nasabah dan pengelolaan jenis sampah prioritas. Penelitian selanjutnya disarankan menggunakan data riil dengan periode lebih panjang serta menambahkan indikator lain, seperti retensi nasabah dan harga per jenis sampah.

Unduhan

Data unduhan tidak tersedia.

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Diterbitkan

2026-10-14

Cara Mengutip

Analisis dan Visualisasi Data Operasional Menggunakan Business Intelligence sebagai Pendukung Pengambilan Keputusan Strategis pada Bank Sampah Di Lawangan Daya. (2026). Karapan Network Journal : Journal Computer Technology and Mobile Ad Hoc Network, 2(04). https://ejournal.omahtabing.com/knj/article/view/740

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