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All Journal Journal of International Multidisciplinary Research Journal of Scientific Insights
Stewart Pertuack
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Ability of CA-Markov Model to Predict the Expansion of Growth Rate of Ambon City, Indonesia and Gaza Strip, Palestine Rakuasa, Heinrich; Stewart Pertuack; Philia Christi Latue
Journal of International Multidisciplinary Research Vol. 2 No. 9 (2024): September 2024
Publisher : PT. Banjarese Pacific Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62504/0qexab84

Abstract

This study aims to explore the ability of Cellular Automata-Markov (CA-Markov) model in predicting the expansion of urban growth rate in Ambon, Indonesia, and Gaza Strip, Palestine. Using a literature study approach, this research collected and analyzed secondary data on land use change, population growth, and factors affecting urbanization in both regions. The results of the analysis show that the CA-Markov model has high accuracy in predicting land use change, and is able to describe the spatial dynamics of built-up land growth. This research emphasizes the importance of integrating environmental aspects in land use planning to achieve sustainable development. The findings are expected to provide useful recommendations for policy makers in managing urban growth, as well as enrich the literature on the application of the CA-Markov model in different contexts.
The Physical Spatial Development of Tiakur City, Moa Island, Maluku Province, Indonesia Rakuasa, Heinrich; Reinhard Nolly Limba; Stewart Pertuack; Arda Fadhli Romadhon; Raihan Rabbani
Journal of International Multidisciplinary Research Vol. 3 No. 2 (2025): Februari 2025
Publisher : PT. Banjarese Pacific Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62504/jimr1175

Abstract

Tiakur City, the capital of Southwest Maluku Regency, has undergone significant physical development between 2015 and 2025, driven by population growth and economic activities. This study employs a quantitative approach using remote sensing technology with PlanetScope satellite imagery to analyze land cover changes. The analysis reveals an increase in built-up land area from 171.29 hectares (7.31%) in 2015 to 395.66 hectares (16.89%) in 2025, while non-built-up land experienced a decline. These findings indicate a rapid development rate and highlight the importance of sustainable spatial planning. In conclusion, understanding the patterns and intensity of land cover changes in Tiakur City is crucial for evaluating spatial planning policies and improving infrastructure development planning for the future.
Flood and Landslide Hazard Mapping in Teluk Baguala District, Ambon City, Indonesia Rakuasa, Heinrich; Stewart Pertuack
Journal of Scientific Insights Vol. 2 No. 5 (2025): October
Publisher : Science Tech Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69930/jsi.v2i5.581

Abstract

Teluk Baguala District, Ambon City is frequently affected by flood and landslide disasters. This study uses the Maximum Entropy method to model flood and landslide hazard areas based on environmental variables and the spatial distribution of disaster occurrences. The flood mapping results show that areas with low vulnerability cover the largest area, totaling 5,296.07 hectares, while medium-risk areas cover only 188.84 hectares, and high-risk areas cover 493.97 hectares. The area with low landslide vulnerability reaches 2,595.19 hectares, whereas medium vulnerability areas are smaller at 2,327.26 hectares, and very vulnerable or high-risk areas cover only 694.73 hectares. The flood validation test shows an AUC value of 0.974, while the landslide AUC value is 0.851. These mapping results are expected to assist the government in flood and landslide disaster mitigation efforts in the future.
Application of GIS for Flood Modeling on Small Islands: A Case Study of Ternate Island, Indonesia Stewart Pertuack; Reinhard Nolly Limba; Juan S. I. Septory; Rakuasa, Heinrich
Journal of Scientific Insights Vol. 3 No. 2 (2026): Available online
Publisher : Science Tech Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69930/jsi.v3i2.697

Abstract

Floods are hydrometeorological disasters that occur almost every year in Indonesia, including Ternate City. Floods that occurred in 2024 caused 15 people to be injured, 16 people to die, and as many as 25 units of houses to be affected by this disaster. One of the disaster mitigation efforts is to map flood-prone areas by utilizing GIS and remote sensing data. The variables used consist of elevation, slope, LULC, distance from the river, soil type, and rainfall. This research uses the multicriteria evaluation method, in addition to the multicriteria evaluation method, and also uses weighted linear combination. The results showed that the area in the high flood vulnerability class was 15.08%, or 1,532.92 ha; the medium class was 31.24%, or 3,175.21 ha; and the area in the low flood vulnerability level had an area of 5,454.24 ha, or 53.67%. The built-up land predicted to be affected by future flooding has the largest extent in the high-risk zone, covering 1,147.59 ha or 54.12%, compared to built-up land in the moderate and low-risk zones.. The results of this study are expected to help the Ternate government in overcoming the flood problem there.
Co-Authors Arda Fadhli Romadhon Juan S. I. Septory Philia Christi Latue Raihan Rabbani Rakuasa, Heinrich Reinhard Nolly Limba