Jurnal
EFEKTIVITAS PENANGANAN LUAS KAWASAN KUMUH PADA PROGRAM KOTAKU (KOTA TANPA KUMUH) DI KOTA JAYAPURA
Jurnal ELIPS (Ekonomi, Lingkungan, Infrastruktur, Pengembangan Wilayah, dan Sosial Budaya) · Vol. 5 No. 3 (2022) · pp. 106–115
- ISSN
- 2775-8168, 2615-8000
- Published
- 2022-09-28
- Publisher
- Magister Perencanaan Wilayah dan Kota Universitas Cenderawasih
- Language
- eng
Abstract
The KOTAKU (City Without Slums) program is a program for handling slum settlements into livable settlements, through increasing access to infrastructure. The implementation of the KOTAKU (City Without Slums) program in Jayapura City has been carried out from 2016 to 2021 in 8 Kelurahan. This study has 2 objectives, namely to analyze the effectiveness of the KOTAKU (City without Slums) program in reducing the area of slum settlements in Jayapura City by using 4 (four) variables, namely targeting accuracy, program socialization, program objectives and program monitoring and analyzing factors that affect achievement targets. The success of the KOTAKU (City Without Slums) program in reducing the area of slum settlements in Jayapura City. This study uses data analysis techniques that combine or link quantitative and qualitative research methods with data collection steps through observation, interviews and questionnaires. From the research carried out, conclusions have been obtained:(1) the average value of the percentage level of the effectiveness of the KOTAKU program in reducing the area of slum settlements in Jayapura City by using 4 (four) variables, the percentage is 70.79%. By referring to the Litbang Depdagri standard with a ratio of 60 – 79.99, the average level of program effectiveness is assessed as “Effective Enoughâ€. (2) Factors Affecting Achievement Targets The success of the KOTAKU program in Reducing the Area of Slums in Jayapura City consists of supporting factors (human resources, budget and planning) and inhibiting factors (no budget collaboration, budget cuts, land location and impoverishment as well as related community mindsets projects and government grants)
Keywords
Collaboration network of the authors
40 authors · 78 co-authorship links · showing the 40 most connected
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| Co-author | Organisation | Joint articles |
|---|---|---|
| Dewi Ana Rusim | Affiliation unknown | 12 |
| Mujiati Mujiati | Affiliation unknown | 3 |
| Petrus Bachtiar | Affiliation unknown | 3 |
| Thobby Wakarmamu | Affiliation unknown | 2 |
| Enos H. Rumansara | Affiliation unknown | 2 |
| Dewi Ana Rusim | Affiliation unknown | 2 |
| Mujiati | Affiliation unknown | 2 |
| Apolo Safanpo | Affiliation unknown | 2 |
| Helen Gianditha Wayangkau | Affiliation unknown | 1 |
| Alfian Chandra | Affiliation unknown | 1 |
| Yenni Pigome | Affiliation unknown | 1 |
| Janviter Manalu | Affiliation unknown | 1 |
| Henny Rosita Mantundoij | Affiliation unknown | 1 |
| Tiurlina Siregar | Affiliation unknown | 1 |
| Bate Pongsitanan | Affiliation unknown | 1 |
| Ade Irma Surnyany | Affiliation unknown | 1 |
| Agung Sampebua | Affiliation unknown | 1 |
| Asniaty Asniaty | Affiliation unknown | 1 |
| Arnold Mika | Affiliation unknown | 1 |
| Aditya Yudy Anggoro | Affiliation unknown | 1 |
| Dedi Julians Noya | Affiliation unknown | 1 |
| Jontor Nababan | Affiliation unknown | 1 |
| Vinsensius T Sihotang | Affiliation unknown | 1 |
| Sonya Teti Pallo | Affiliation unknown | 1 |
| Verdy Sumbung | Affiliation unknown | 1 |
| Elieser Numberi | Affiliation unknown | 1 |
| Johni Jonathan Numberi | Affiliation unknown | 1 |
| Marthen Luther Mandosir | Affiliation unknown | 1 |
| Jonathan Numberi | Affiliation unknown | 1 |
| Agustina Ivonne Poli | Affiliation unknown | 1 |
| Felix Yohanes Karma | Affiliation unknown | 1 |
| Nataniel Lembang | Affiliation unknown | 1 |
| Kristanto Alexander Tetjuari | Affiliation unknown | 1 |
| Herry Wijaya | Affiliation unknown | 1 |
| Emius Gire | Affiliation unknown | 1 |
| George Maay | Affiliation unknown | 1 |
| Pieter Marvin Yong | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.