UPAYA PENINGKATAN KINERJA PDAM BERDASARKAN JALUR HUBUNGAN SEBAB-AKIBAT INDIKATOR KINERJA
Abstract
Abstrak: Peningkatan kinerja PDAM merupakan salah satu cara untuk mencapai target akses aman air minum 100% di tahun 2019. Pencapaian akses aman air minum 100% dilihat dari jumlah penduduk yang terlayani air minum yang merupakan salah satu indikator kinerja yang dibuat BPPSPAM (Badan Peningkatan Penyelenggaraan Sistem Penyediaan Air Minum) di Indonesia. Tujuan penelitian ini adalah untuk mengidentifikasi jalur hubungan sebab-akibat antar indikator kinerja dalam peta strategi BSC yang dapat digunakan untuk PDAM Way Agung di masa depan. Dalam studi ini menggunakan dua metode, yaitu FAHP dan penelitian eksperimental. Metode FAHP untuk menghitung bobot indikator sebagai penentu indikator penyebab dan akibat, sedangkan metode penelitian eksperimental untuk mengetahui indikator yang memiliki hubungan. Setelah mencari subvariabel yang sama dalam 18 indikator kinerja BPPSPAM, indikator-indikator kinerja ini terindikasi memiliki 19 hubungan sebab-akibat. 19 hubungan sebab-akibat tersebut kemudian diaplikasikan ke dalam peta strategi BSC sehingga terdapat 16 jalur sebab-akibat.
Kata kunci: BSC strategy map, Fuzzy-AHP, jalur sebab-akibat
Abstract: Performance improvement of water utilities (PDAM) is one way to achieve the target of 100% safe access of drinking water in 2019 in Indonesia. Achievement 100% safe access of drinking water seen from total population served drinking water which is one of performance indicators set by BPPSPAM, a board formed to improve water supply systems in Indonesia. The aim of this study is to identify causal paths between performance indicators of This study is using two methods, which is FAHP and experimental research. FAHP method is to calculate weight of performance indicator as a judgment of causes and effects indicators, while experimental research is to identify indicators which have a relationship. After search the similar subvariables in the 18 performance indicators of BPPSPAM, these performance indicators identified have 19 cause-effect relationships. Then these relationships applied in BSC strategy map so there are 16 causal paths
Keywords: BSC strategy map, Fuzzy-AHP, a causal path
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