Study Determination About Receivers of Support for Rehabilitation "The Houses Unhabitable" in Slum Area, Indonesia

Boby Rahman, Dhea Fina Ramadhanty, Mohammad Agung Ridlo

Abstract


Abstract. Indonesia, a developing country, has launched a program with a target of 0% slum in urban areas by 2020. It has been more than ten years since this program for handling urban slums has made many improvements. One aspect of the parameter that becomes an improvement in handling urban slum areas is the improvement of uninhabitable houses. This study investigates how the quality of urban slum settlements can be improved in the aspect of houses that are not habitable, especially in terms of determining the recipient of rehabilitation assistance for houses that are unhabitable in urban areas. This study used a qualitative methodology and analysis of the literature review in 21 scientific papers on selecting houses that are not habitable assistance and related regulations. The result is that there are two processes in determining Receivers of Support for Rehabilitation "The Houses Unhabitable", first through the aspects of the criteria for houses unhabitable which are technical in the field, and selection techniques that are more academic in nature. Aspects of the criteria for houses unhabitable provide an assessment of the area and buildings. whereas the selection technique requires a selection technique capable of managing data that has many criteria.


Full Text:

PDF

References


Statistics Indonesia, “Statistics Indonesia 2010.†Badan Statistik Indonesia, Jakarta, 2010.

Indonesian minister of settlements, “Regulation Indonesian minister of settlements 22/2008 abut Minimum Service Standards (SPM) in the Field of Public Housing in Provinces and Districts / Cities.†Indonesian minister of settlements, Jakarta, 2008.

Ministry of Public Works and Public Housing of the Republic of Indonesia, “Webinar Pembangunan Perumahan Dan Perkotaan Oleh Pemerintah Pusat Dan Dearah.†Ministry of Public Works and Public Housing of the Republic of Indonesia, Jakarta, 2020.

Bappenas, “Arah Kebijakan Pembangunan Perkotaan Dan Permukiman Sebelum Dan Pada Era Normal Baru.†Bappenas, Jakarta, 2020.

K. DANIK, “Sistem Pendukung Keputusan Penerima Bantuan Rumah Layak Huni Dengan Menggunakan Metode Weighted Product (WP),†Udinus, 2014.

A. D. Puteri and H. B. Notobroto, “Indikator Karakteristik Fisik Rumah Dominan dalam Penentuan Status Kemiskinan untuk Program Rehab Rumah tidak Layak Huni di Kabupaten Sidoarjo,†J. Biometrika dan Kependud., vol. 5, no. 2, p. 107, 2017, doi: 10.20473/jbk.v5i2.2016.107-116.

E. J. G. Harianja and G. Lumbantoruan, “Penerapan Metode TOPSIS dalam Menentukan Penerima Bantuan Bedah Rumah Pada Dinas Perumahan Dan Kawasan Permukiman Kabupaten Deli Serdang,†J. Times, vol. 8, no. 1, pp. 29–38, 2019.

R. Kuswandhie and Y. Primadasa, “Penggabungan Metode MEC dan AHP dalam Penentuan Bantuan Rumah Tidak Layak Huni,†Techno.Com, vol. 18, no. 2, pp. 134–144, 2019, doi: 10.33633/tc.v18i2.2268.

I. H. Mursyidin and Rusdah, “Sistem Pendukung Keputusan Pemilihan Penerima Bantuan Bedah Rumah Pemkab Tangerang Dengan Metode AHP dan SAW,†in Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK) 2020, 2020, pp. 375–383.

M. Yetri, “Sistem Pendukung Keputusan Untuk Menentukan Penerima Bantuan RSRTLH Menggunakan metode Weight Sum Model (WSM) pada Desa Tanjung Garbus 1 Kecamatan Lubuk Pakam,†J. SAINTIKOM (Jurnal Sains Manaj. Inform. dan Komputer), vol. Vol.09, no. 1, 2020.

H. Ardiansyah, M. B. S. Junianto, and S. Machfud, “Sistem Penunjang Keputusan Penentuan Penerima Dana Bantuan Rumah Tidak Layak Huni Dengan Metode Smarter Dan Topsis Pada Desa Rawakalong,†J. SAINTEKOM, vol. 10, no. 1, p. 26, 2020, doi: 10.33020/saintekom.v10i1.98.

H. Nalatissifa and Y. Ramdhani, “Sistem Penunjang Keputusan Menggunakan Metode Topsis Untuk Menentukan Kelayakan Bantuan Rumah Tidak Layak Huni (RTLH),†MATRIK J. Manajemen, Tek. Inform. dan Rekayasa Komput., vol. 19, no. 2, pp. 246–256, 2020, doi: 10.30812/matrik.v19i2.638.

R. Arzian, Z. Abidin, P. Irfan, and M. Yunus, “Penerapan Fuzzy SAW untuk Rekomendasi Penentuan Penerima Bantuan Pembangunan Rumah Tidak Layak Huni ( Application of Fuzzy SAW for Recommendations on Determining Recipients of Development Assistance The House is Not Livable ),†J. Teknol. Inf. dan Multimed., vol. 2, no. 1, pp. 36–42, 2020.

F. J. Simatupang and T. Wuryandari, “Klasifikasi Rumah Layak Huni Di Kabupaten Brebes Dengan Menggunakan Metode Learning Vector Quantization Dan Naive Bayes,†J. Gaussian, vol. 5, no. 1, pp. 99–111, 2016.

W. Fauzi, “Sistem Pendukung Keputusan Penerima Bantuan Dana Rutilahu dengan Menggunakan Metode Electre,†Semin. Nas. Teknol. Inf. dan Komun. 2016 (SENTIKA 2016), vol. 2016, no. Sentika, pp. 432–439, 2016.

K. S. Mardiati and Oktafianto, “Sistem Pendukung Keputusan (Dss) Penerima Bantuan Rumah Tak Layak Huni (Rtlh) Pada Kecamatan Ambarawa Dengan Menggunakan Metode Analytical Hierarcy Process (Ahp),†Prociding Kmsi, vol. 5, no. 1, pp. 302–308, 2017, [Online]. Available: http://ojs.stmikpringsewu.ac.id/index.php/kmsi/article/view/433/408.

H. Tumanggor, M. Haloho, P. Ramadhani, and S. Darma Nasution, “Penerapan Metode VIKOR Dalam Penentuan Penerima Dana Bantuan Rumah Tidak Layak Huni,†Jurikom, vol. 5, no. 1, pp. 71–78, 2018.

H. Irawan, W. Sabardi, and Y. Nadya, “Pendekatan Mcdm Dengan Metode Simple Additive Weighting (SAW) Untuk Model Penentuan Prioritas Penerima Rumah Bantuan Dinas Sosial,†in SEMNASTEK UISU, 2018, vol. 1, no. 1, pp. 251–256.

B. Satria and L. Tambunan, “Sistem Pendukung Keputusan Penerima Bantuan Rumah Layak Huni Menggunakan FMADM dan SAW,†JOINTECS (Journal Inf. Technol. Comput. Sci., vol. 5, no. 3, p. 167, 2020, doi: 10.31328/jointecs.v5i3.1361.

I. Sevrianda and D. Z. Putri, “Karakteristik Rumah Tangga Miskin Perkotaan Dan Pedesaan Di Sumatera Barat,†EcoGen, vol. 1, no. September, pp. 1–26, 2018.

S. S. Sundari, Y. H. Agustin, and L. Sidiq, “Pengembangan Sistem Pendukung Keputusan Pemilihan Penerima Bantuan Rehabilitasi Rumah Tidak Layak Huni Kabupaten Tasikmalaya,†in SENSITif, 2019, vol. 1, no. 1, pp. 1299–1309.




DOI: http://dx.doi.org/10.30659/pondasi.v26i2.19046

Refbacks

  • There are currently no refbacks.


Editorial Office:

Pusat Studi dan Konsultasi Teknik
Faculty of  Engineering, Universitas Islam Sultan Agung
Jl. Raya Kaligawe Km 04 Semarang 50012, Indonesia

Phone : +624-6583584
Fax : +624-6582455

Email : jurnalpondasi@unissula.ac.id

Print-ISSN : 0853-814X
E-ISSN : 2714-7622