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All Journal Geoplanning : Journal of Geomatics and Planning Jurnal Tata Kota dan Daerah Journal of Information Technology and Computer Science Indonesian Journal of Energy East Java Economic Journal Journal of Infrastructure Policy and Management (JIPM)
Hariyanto, Annisa Dira
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Social Sciences Transportation

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TENEMENT KAMPUNG DI KOTA MALANG TAHUN 1914 - 1940 Wijaya, I Nyoman Suluh; Hariyanto, Annisa Dira; Setyono, Deni Agus
Jurnal Tata Kota dan Daerah Vol 9, No 1 (2017)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Perkampungan dianggap sebagai lingkungan tradisional khas Indonesia yang telah ada sejak masa KolonialismeBelanda (Nababan & Kustiwan, 2015), perkampungan yang telah berkembang pada masa kolonial Belandadisebut sebagai Tenement kampung (Barros & Prawoto dalam Widjaja, 2013). Kampung kota pada umumnyamemiliki permasalahan seperti kepadatan penduduk dan bangunan yang tinggi, perumahan dibangun secara tidakformal, kurang sarana dan prasarana, sehingga kesehatan masyarakat merupakan masalah utama. Namun, adanyapermasalahan-permasalahan lingkungan tersebut tidak membuat penghuni berkeinginan untuk pindah. KotaMalang adalah kota yang tumbuh serta berkembang dengan pesat sejak masa Kolonial Belanda di Tahun 1914 -1940 dan perkampungan pada saat itu berkembang menjadi permukiman penduduk pribumi dan mengalamidegradasi lingkungan. Tenement kampung di Kota Malang merupakan perkampungan lama yang telah dihunisecara turun temurun dengan berbagai macam permasalahan lingkungan. Berdasarkan hal tersebut, maka tujuanpenelitian ini adalah untuk mengidentifikasi persebaran Tenement kampung di Kota Malang. Tenement kampungakan dibedakan menjadi pusat kota dan pinggiran kota, dikarenakan adanya perbedaan karakter permukiman danpenghuni. Analisis yang digunakan dalam penelitian ini adalah analisis identifikasi kampung kota denganmenggunakan teknik analisis overlay. Hasil dari penelitian ini adalah teridentifikasinya 40 RW yangdikategorikan sebagai Tenement kampung pusat kota dan 7 RW Tenement kampung pinggiran kota.
Spatial Decision Support System Model for Economic Resilience in East Java Province Afrianto, Firman; Hariyanto, Annisa Dira
East Java Economic Journal Vol. 8 No. 1 (2024)
Publisher : Kantor Perwakilan Bank Indonesia Provinsi Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53572/ejavec.v8i1.118

Abstract

Economic resilience has many dimensions and aspects to consider. The complexity of studying resilience ultimately requires simplification in the form of a model that can be applied in spatial decision-making. This study aims to find a model and simulation of economic resilience policy priorities for East Java Province in the form of a Spatial Decision Support System. The calculation is done by applying the TOPSIS algorithm on the vectorMCDA plugin in a geographic information system and qualitative descriptive analysis. The results of the calculation indicate that the focus of economic resilience policy is on the aspects of recovery and transformational innovation, while the ideal resilience policy alternative is the most appropriate priority policy alternative.
Big Data Review of East Java Community Compliance Index Against the Recommendation of Stay At Home During the Covid-19 Pandemic Afrianto, Firman; Hariyanto, Annisa Dira
Journal of Information Technology and Computer Science Vol. 7 No. 2: August 2022
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.72433

Abstract

The Covid-19 pandemic period provides a change in the framework of discovering community mobility patterns as the basis for determining policies to control the spread of the virus. Big Data then becomes one of the indicators in finding mobility patterns because, while doing their activities, the internet and social media users continuously carry out even when staying at home. The Indonesian government controls the spread by issuing the Large-Scale Social Restrictions (PSBB) policy in 2020 and the Enforcement of Restrictions on Community Activities (PPKM) in 2021 and 2022. East Java Province is confirmed to have the highest level of COVID-19 spread in Indonesia, so it requires a pattern of proper handling to control its spread. This study provides information on the compliance index to the stay-at-home recommendations during the PSBB and PPKM periods. Wherefrom the Big Data analysis and Nighttime Light satellite imagery, the highest level of compliance occurred during PPKM in February 2022. Also, in general, the compliance index of the people of East Java is increased.
Comparison of Land Cover Change Prediction Models: A Case Study in Kedungkandang District, Malang City Hariyanto, Annisa Dira; Yudono, Adipandang; Wicaksono, Agus Dwi
Geoplanning: Journal of Geomatics and Planning Vol 11, No 1 (2024)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.11.1.85-98

Abstract

The infrastructure of Malang City is currently being directed towards the eastern and southeastern parts, Kedungkandang District. Infrastructure plays an important role in the aspect of land cover change, which raises the complexity of the emergence of urban forms and dynamics. This study compares three models, Artificial Neural Network (ANN), Logistic Regression (LR), and Multi-Criteria Evaluation (MCE), to predict changes in land cover in the Kedungkandang District using the Cellular Automata (CA) approach. The prediction results indicate that the ANN and MCE models have the highest overall Kappa values (prediction accuracy), while the ANN and LR models have the highest location-specific Kappa values. However, overall, the ANN model demonstrates the highest accuracy and performance among the other two models. This research makes a significant contribution to urban planning by highlighting the importance of using machine learning-based technology to predict land cover changes in Malang City, particularly in the Kedungkandang District. Stakeholders can leverage this technology to design more effective and sustainable infrastructure policies and implement preventive measures to mitigate the negative impacts of uncontrolled urban growth.
Big Data and Satellite Imagery for Energy Efficiency Mapping in Indonesia: : A Future Shaped by Advanced Analytics Afrianto, Firman; Salsabillah, Andini Putri; Hariyanto, Annisa Dira
Indonesian Journal of Energy Vol. 8 No. 1 (2025): Indonesian Journal of Energy
Publisher : Purnomo Yusgiantoro Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33116/ije.v8i1.229

Abstract

In the sophisticated realm of big data, analyzing energy efficiency in Indonesia has become crucial for identifying savings opportunities. This study utilizes large-scale raster data, including CO2 emissions from the OCO-2 GEOS satellite, nocturnal satellite images from VIIRS, and demographic and infrastructural data from WorldPOP and EsriWorld Cover. Through advanced regression techniques in machine learning—Support Vector Regression, Artificial Neural Network, and particularly Random Forest—the research analyzes and forecasts energy efficiency across various Indonesian provinces. The analysis highlights a notable increase in CO2 emissions from 2019 to 2023, with a significant reduction in night-time light emissions in 2020 due to the pandemic, which temporarily decreased human activities. Despite these fluctuations, the continuous increase in population density and built-up areas underscores the persistent influence of urbanization on emissions. The Random Forest model, which provided the most accurate predictions, indicates an expected rise in total CO2 emissions until 2030, driven by urbanization and economic growth, followed by a decline by 2045 due to targeted governmental policies. These insights contribute significantly to understanding the distribution of energy efficiency and support the development of sustainable energy policies in Indonesia. The study not only enriches scientific literature but also guides policy-making, offering a framework for tailored energy efficiency improvements. This research marks a pivotal advancement in utilizing big data and satellite technology to optimize energy use in a context that was previously underexplored.
Regional Economic Agglomeration and Trans-Sumatra Toll Road Development: A Network and Spatial Review Hariyanto, Annisa Dira; Rendra Graha, Dimas Tri; Afrianto, Firman
Journal of Infrastructure Policy and Management (JIPM) Vol. 7 No. 1 (2024): Journal of Infrastructure Policy and Management (JIPM)
Publisher : PT Penjaminan Infrastruktur Indonesia (Persero)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35166/jipm.v7i1.38

Abstract

Road and transportation networks play a crucial role in interregional connections. One of the key development programs initiated during President Jokowi’s presidency in Indonesia is aimed at improving interregional connectivity. In Sumatra, the National Strategic Project (Program Strategis Nasional/PSN) for the construction of the Trans-Sumatra Toll Road has been underway since 2014. After a decade of development, it is essential to evaluate the impact of this infrastructure on the region's agglomeration to inform future development policies. This paper reviews the changes in network structures and economic activities as influenced by the construction of the Trans-Sumatra Toll Roads. It also seeks to predict the future development of agglomeration and economic activities. The study employs regional and city planning methodologies, including space syntax, fractal dimension analysis, and cluster analysis. The findings indicate that the construction of the Trans-Sumatra Toll Road has significantly enhanced connectivity and accessibility, increased the gravitational value of the territory, and reduced the load on existing roads. Moreover, the development of toll roads has led to the growth of new economic centers, which eventually resulted in the formation of four major agglomeration regions.
Spatial Analysis of Tourism Economic Networks in East Java: A Modified Gravity Model Approach with Big Data Integration Handoko, Dwi; Hariyanto, Annisa Dira; Adityasna, Hardi; Afrianto, Firman
East Java Economic Journal Vol. 9 No. 2 (2025)
Publisher : Kantor Perwakilan Bank Indonesia Provinsi Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53572/ejavec.v9i2.166

Abstract

Research on the spatial structure of tourism economic networks remains limited, whereas understanding how tourism economic components are interconnected and interact within a geographical area is crucial. This study aims to fill these limitations by analyzing the strength of interaction and the spatial structure of the tourism economic network in East Java, both now and in the future. This research employs a modified gravity model that integrates big data as a proxy for tourism economic variables. Spatial network analysis was conducted using Spatial Design Network Analysis (SDNA) with four centrality algorithms. The results showed that the main centers or hubs of the tourism economic network in East Java are Batu City, Malang Regency, and Surabaya City, based on the total number of nodes or variables. While the analysis per variable revealed differences in the main centers, indicating complexity and diversity in the interactions, connections, and clusters of the tourism economic network in East Java. Road network planning in the East Java Provincial RTRW until 2043 is predicted to have a significant impact on the connectivity, attractiveness, and accessibility of the road network, which in turn will affect tourism economic growth in East Java. However, the uneven improvement of accessibility, especially in Madura Island, is a challenge in itself. This research offers valuable insights into the spatial dynamics of the tourism economic network in East Java and its implications for regional economic development, providing policy recommendations to optimize the impact of road network planning on the tourism sector.
Co-Authors Adipandang Yudono Adityasna, Hardi Afrianto, Firman Agus Dwi Wicaksono Dwi Handoko Rendra Graha, Dimas Tri Salsabillah, Andini Putri Setyono, Deni Agus Wijaya, I Nyoman Suluh