Mubarokah, Alfiyatul (2017) Identifikasi Critical Success Factors Pada Bank Sampah Pitoe Jambangan Surabaya. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Salah satu metode yang dapat digunakan untuk mengolah sampah adalah dengan menerapkan prinsip 3R (Reuse, Reduce dan Recyle) yang dapat diwujudkan dengan program bank sampah. Bank sampah merupakan organisasi nonprofit yang tujuannya tidak hanya berorientasi untuk mencari keuntungan, akan tetapi juga berorientasi pada dampak sosial. Program utama dari bank sampah adalah mengajarkan kepada masyarakat mengenai pemilahan sampah dan Kota Surabaya menjadi salah satu kota di Indonesia yang dinilai mampu mengelola sampah melalui program bank sampah. Pelaksanaan bank sampah yang ada di Surabaya tidak semua berjalan sukses. Oleh karena itu, penting bagi bank sampah untuk dapat mengidentifikasi faktor keberhasilan pada bank sampah sukses agar dapat mengetahui langkah-langkah yang harus dijalankan untuk mencapai keberhasilan. Penelitian ini bertujuan untuk mengetahui dan memprioritaskan Critical Success Factors (CSF) pada Bank Sampah Pitoe Jambangan Surabaya. Metode yang digunakan dalam penelitian ini adalah Computer Integrated Manufacturing Open System Architecture (CIMOSA) dan Analytical Hierarchy Process (AHP). Dalam mengidentifikasi success factors, responden pada penelitian ini adalah pihak Dinas Kebersihan dan Pertamanan Kota Surabaya, Akademisi dalam bidang lingkungan dan pihak internal Bank Sampah Pitoe Jambangan. Terdapat 14 success factor yang telah diidentifikasi, yang kemudian dikelompokkan menjadi 5 kriteria berdasarkan pada perspektif performance prism. Pada penelitian ini dihasilkan temuan bahwa terdapat 5 CSF yaitu kemampuan manajemen dalam meyakinkan masyarakat (0.154), tingkat partisipasi aktif masyarakat (0.122), cara pengelolaan sampah (0.120), kerja sama dengan pihak lain dalam bidang pengelolaan sampah (0.064) dan peningkatan jumlah profit (0.040).
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One of methods that can be used to manage waste is to implement the principle of 3R (Reuse, Reduce and Recyle), which can be realized through the waste bank program. Waste bank is a nonprofit organization whose purpose that is not only oriented towards in generating profit, but also oriented towards social impact. The main program of this organization is to teach the public about waste segregation. Surabaya has became one of the cities in Indonesia that are able to manage waste through waste bank program. Not all of the waste bank program implementation in Surabaya run successfully. There are some criteria that determine whether the waste bank program success or not. It is important to identify and rank the critical success factors (CSF) of waste bank program and understand the steps to be done for the sustainability and success of the program. This research aims to finds the Critical Success Factors in Waste Bank Pitoe Jambangan Surabaya. The methods used in the research are Computer Integrated Manufacturing Open System Architecture (CIMOSA) and Analytical Hierarchy Process (AHP). To identify the success factors, the respondents in this research are including officer of Department of Cleanliness and Gardening Surabaya, academician in environmental sector, and internal parties of Waste Bank Pitoe Jambangan. There are 14 success factors that have been identified, then, the 14 success factors are grouped into five criteria according to performance prism perspective. The result of this research is there are five CSF which are the ability to manage and convince the citizen (0.154), citizen participation rate (0.122), the method to manage waste (0.120), cooperation with other party in waste management (0.064) and profit increase (0.040).
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSMB 658.401 2 Mub p-1 |
| Uncontrolled Keywords: | Bank Sampah, Organisasi Nonprofit, Critical Success Factors (CSF), Analytical Hierarchy Process (AHP), Computer Integrated Manufacturing Open System Architecture (CIMOSA). |
| Subjects: | H Social Sciences > HB Economic Theory > Economic forecasting--Mathematical models. H Social Sciences > HD Industries. Land use. Labor > HD30.213 Management information systems. Dashboards. Enterprise resource planning. |
| Divisions: | Faculty of Industrial Technology > Business Management > 61205-(S1) Undergraduate Thesis |
| Depositing User: | MUBAROKAH ALFIYATUL |
| Date Deposited: | 24 Oct 2017 07:01 |
| Last Modified: | 05 Mar 2019 02:01 |
| URI: | http://repository.its.ac.id/id/eprint/41770 |
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