Lokasi Tempat Pembuangan Akhir Terbaik di Kulon Progo

23 December 2021

•

By: Khadijah Nurul Lathifah

Open Data

Best Location (Clip)

Open Data

Best Location

Open Data

Jalan_MultipleRingBuffer

Open Data

Permukiman_MultipleRingBuffer

Open Data

Sungai_MultipleRingBuffer

Open Data

Kota_MultipleRingBuffer

Open Project

The Best Site Location for Dumping Site in Kulon Progo

Lokasi Tempat Pembuangan Akhir Terbaik di Kulon Progo

One of the GIS applications on natural resources and the environment is to determine optimal locations for dumping sites by weighting an area by considering several factors such as the location distance from the river, elevation, soil type, distance from settlements, and others.

What is The Issue?

A dumping site is an excavated piece of land used as temporary storage for waste materials. Waste is a major problem in most places in Indonesia. The problem which often raises is the difficulty to find the land for the dumping site.

Why Dumping Site?

  • Based on Google Trends, Topic for Garbage is one of the most searched topic in Google which relevant with Dumping Site, and searched by many people in different provinces in Indonesia.
Lokasi Tempat Pembuangan Akhir Terbaik di Kulon Progo Lokasi Tempat Pembuangan Akhir Terbaik di Kulon Progo
  • Also, I do social media trend analysis. I find out that some topic of Garbage is actually have a lot of views on Tiktok. For #garbage the views are 577.5M. It means that there are so many people that has aware with this issue.
Lokasi Tempat Pembuangan Akhir Terbaik di Kulon Progo

Based on Google Trends and some Social Media Trend Analysis, we can conclude that Garbage is actually a popular topics and it h. This is why I choose Dumping Site for the topic in this project.

Why should be in Kulon Progo?

Based on my research, the potential for dumping site in Kulon Progo with a population of 434,483 people is estimated to be up to 173 tons per day or 63,260 tons per year. Meanwhile, the waste handled at the Banyuroto TPA in Kulon Progo is currently based on weighing data as much as 24-35 tons per day.

Reporting from harianmerapi.com (October 2021), "The condition of the Banyuroto TPA as of September 2021 has occurred. The location is indeed far from settlements and not densely populated. But if in the future the population is increasingly dense and around the TPA has become urban, this will become serious problem."

This is why I choose Kulonprogo to be the area of site selection.

"Kulon Progo's waste management must be taken seriously. Special measures are needed to prevent waste from accumulating in Kulon Progo."
harianmerapi.com (Oktober 2021)

Methodology

Lokasi Tempat Pembuangan Akhir Terbaik di Kulon Progo

Buffer & Tessellation

The data used in this project are roads, city, land use, settlements, and rivers. The weighting for each input variable is based on the table 1 (Buffer zone layer with sub-criteria ratings). I use generate tessellation tool for producing the tessellation in hexagon shapes from the weighting result which have been done before in each variable. Analysis using vector approach with generate tessellation tools is available in ArcGIS Pro. The map result can be seen in the All Layer Maps section in GEO MAPID. The steps of generate tessellation are based on literature (Alkaradaghi et al. 2019).

Lokasi Tempat Pembuangan Akhir Terbaik di Kulon Progo Lokasi Tempat Pembuangan Akhir Terbaik di Kulon Progo

Results

Lokasi Tempat Pembuangan Akhir Terbaik di Kulon Progo

Lokasi Tempat Pembuangan Akhir Terbaik di Kulon Progo

As shown in the image above (Figure 5 & 6), each hexagon has its values based on the weighting results and Total_Value calculations done previously. The higher the Total_Value, the redder the color will appear. The redder the color, the more it shows that the area in the hexagon area is less suitable for use as a dumping site area. On the other hand, the lower the value, which is indicated by a more

Conclusion

From this project, we can conclude some points, such as :

1. Waste is a major problem in most places in Indonesia. The problem which often raises is the difficulty to find the land for the dumping site.

2. The project uses five polygon layers to find the best location for the dumping site in Kulon Progo with Generate Tessellation tools. The best site locations from Analysis result are in near Jalan tambon, Jalan gadingan Kulon Progo.

3. The project also provides a Dashboard to see the Opportunity of Site Location and Map Viewer by Geomapid to see all variable layers in one map.

References

Alkaradaghi K, Ali SS, Al-Ansari N, Laue J, Chabuk A. 2019. Landfill Site Selection Using MCDM Methods and GIS in the Sulaimaniyah Governorate, Iraq. Sustainability Journal. Accessible on: https://www.mdpi.com/2071-1050/11/17/4530.

Big Thanks to : MAPID Academy 3.0 x MRT Jakarta

Data Publications

Analisis Kerawanan Longsor Berbasis Random Forest Menggunakan Data Penginderaan Jauh dan Sistem Informasi Geografis untuk Pengembangan WebGIS Kerawanan Longsor di Wilayah Bandung Raya

Climate & Disaster

28 Sep 2026

•

Reggie Anjlina

Analisis Kerawanan Longsor Berbasis Random Forest Menggunakan Data Penginderaan Jauh dan Sistem Informasi Geografis untuk Pengembangan WebGIS Kerawanan Longsor di Wilayah Bandung Raya

Pemetaan kerawanan longsor Bandung Raya berbasis Random Forest, penginderaan jauh, dan SIG melalui WebGIS interaktif untuk mendukung mitigasi bencana.

41 min read

•

109 view

Prediksi Pertumbuhan Kawasan Terbangun untuk Mengidentifikasi Wilayah Prioritas Pengembangan Layanan Publik di Bandung Raya

City Planning

28 Sep 2026

•

Reza Isnawati

Prediksi Pertumbuhan Kawasan Terbangun untuk Mengidentifikasi Wilayah Prioritas Pengembangan Layanan Publik di Bandung Raya

Penelitian ini memprediksi pertumbuhan kawasan terbangun dan jumlah penduduk di Wilayah Metropolitan Bandung Raya hingga tahun 2029. Mengintegrasikan pemodelan prediktif Cellular Automata Artificial Neural Network (CA-ANN), proyeksi demografi CAGR, serta analisis jangkauan Network Analysis, studi ini mengidentifikasi kesenjangan aksesibilitas spasial fasilitas pendidikan dan kesehatan berdasarkan SNI 03-1733-2004. Penelitian ini menghasilkan rekomendasi empat tipologi arahan strategi kawasan guna merespons ketimpangan fasilitas publik dan mengendalikan pemekaran kota (urban sprawl) secara terarah.

34 min read

•

114 view

ANALISIS KETIMPANGAN DISTRIBUSI LAYANAN STASIUN PENGISIAN KENDARAAN LISTRIK UMUM (SPKLU) DI KOTA BANDUNG MENGGUNAKAN PENDEKATAN GAP ANALYSIS BERBASIS GRID HEKSAGON 1×1 KM

Energy

30 Sep 2026

•

Muhammad Fatih

ANALISIS KETIMPANGAN DISTRIBUSI LAYANAN STASIUN PENGISIAN KENDARAAN LISTRIK UMUM (SPKLU) DI KOTA BANDUNG MENGGUNAKAN PENDEKATAN GAP ANALYSIS BERBASIS GRID HEKSAGON 1×1 KM

nalisis Ketimpangan Distribusi Layanan SPKLU di Kota Bandung menggunakan pendekatan Gap Analysis berbasis Grid Heksagon 1 × 1 km untuk mengidentifikasi kesenjangan antara ketersediaan layanan (supply) dan kebutuhan layanan (demand). Komponen supply dianalisis berdasarkan POI SPKLU tahun 2025 dan tingkat coverage menggunakan isokron, sedangkan demand direpresentasikan melalui jumlah kendaraan listrik berdasarkan P3DW tahun 2024 serta data kependudukan tahun 2024. Hasil integrasi kedua komponen digunakan untuk mengidentifikasi wilayah dengan tingkat pelayanan dan prioritas pengembangan SPKLU yang berbeda di Kota Bandung.

45 min read

•

110 view

1 Projects

Analisis Kesesuaian Lokasi dan Peluang Pasar untuk Ekspansi Gerai HokBen Berbasis Location Intelligence di Kota Surabaya

Food & Beverages

06 Sep 2026

•

Ridhwan Saputra

Analisis Kesesuaian Lokasi dan Peluang Pasar untuk Ekspansi Gerai HokBen Berbasis Location Intelligence di Kota Surabaya

Analisis site selection ekspansi gerai HokBen di Kota Surabaya menggunakan GIS untuk mengintegrasikan land suitability, market opportunity, demografi, POI, aksesibilitas, dan harga lahan. Hasil analisis QGIS dibandingkan dengan GEO MAPID Site Selection untuk mengidentifikasi area potensial berdasarkan kesesuaian lokasi dan peluang pasar.

24 min read

•

613 view

Terms and Conditions
Introductions
  • MAPID is a platform that provides Geographic Information System (GIS) services for managing, visualizing, and analyzing geospatial data.
  • This platform is owned and operated by PT Multi Areal Planing Indonesia, located at