Abstract
Unfulfillment of waste service ratetarget, low-quality of waste temporary shelter, and the basic needs to increase waste service rates become the foundation to analyze the financial aspect. This can be conductedby calculating and analyzing public’s Willingness to Pay (WTP) to waste management service improvements in Ujungberung Sub-District. The objectives of this research are to know the percentage of people’s WTP towards the rise of waste service rates and analyze factors that can affect the WTP. The chosen method for this research is Contingent Valuation Method (CVM) with Payment Card as its technique. By using Cross-Section method, there are 66 people selected to be the samples of this study. Online questionnaire is used to collect the data. The percentage of public’s WTP is 88% with the value of average WTP is Rp 31.288 and the value of total WTP is RP 113.575.000. Based on the multiple linear regression analysis, the factors significantly affecting the value of WTP are age and existing waste service rates.
Highlights
Abstrak Kualitas Tempat Pembuangan Sementara (TPS) belum memadai menjadi dasar perlunya analisa dan perhitungan Willingness to Pay (WTP) masyarakat Kecamatan Ujungberung terhadap peningkatan pelayanan pengelolaan persampahan
Based on the multiple linear regression analysis, the factors significantly affecting the value of WTP are age and existing waste service rates
Nasional Pengelolaan Sampah Rumah Tangga dan Sampah Sejenis Sampah Rumah Tangga,” Sekretariat Negara, Jakarta, 2017. [23] Menteri PUPR, “Peraturan Menteri Pekerjaan Umum RI No. Tahun 2013 Tentang Penyelenggaraan Prasarana dan Sarana Persampahan Dalam Penanganan Sampah Rumah Tangga Dan Sampah Sejenis Sampah Rumah Tangga,” Jakarta, 2013. [24] Google Maps, “Peta Kecamatan Ujungberung,” https://www.google.com/maps/place/Ujung+Berung,+Bandung+City,+West+Java/@6.9049625,107.6870828,14z/data=!3m1!4b1!4m5!3m4!1s0x2e68dd22b4875447:0x5f6466543fd706c 4!8m2!3d-6.9064866!4d107.7073688, 2 Januari 2021 [25] Badan Pusat Statistik Jawa Barat, “Kecamatan Ujungberung Dalam Angka 2019,” Bandung, 2019
Summary
Metode Analisa Data Tahapan analisa data yang pertama adalah menganalisa kondisi eksisting pelayanan sesuai hasil kuesioner, lalu dianalisa persepsi masyarakat mengenai pelayanan sampah, selanjutnya melakuan analisa regresi linear. Analisa regresi linear yang digunakan adalah analisa regresi linear berganda, karena variabel independennya (X) lebih dari 2 (dua). Analisa ini bertujuan untuk mengetahui keberpengaruhan kesembilan variable X terhadap WTP. Pada analisa regresi linear berganda ini perlu dilakukan serangkaian uji awal terelebih dahulu, yaitu uji normalitas, uji linearitas, uji multikolinearitas, dan uji heteroskedastisitas. Selanjutnya, dianalisa hubungan antara variabel independen dengan variabel dependennya baik secara parsial maupun secara simultan, lalu dibuat persamaan regresi linearnya berdasarkan hasil analisa regresi linear bergandanya. Selanjutnya, dihitung nilai WTP rata-rata (EWTP) dan nilai WTP totalnya (TWTP) untuk mengetahui tarif jasa layanan sampah kota yang optimum untuk Kecamatan Ujungberung. Berikut persamaan dalam menghitung EWTP [19]
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