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All Journal International Journal of Electrical and Computer Engineering Indonesian Journal of Geography Geo Media: Majalah Ilmiah dan Informasi Kegeografian Ecotrophic, Journal of Environmental Science Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Jurnal Ilmu Lingkungan TELKOMNIKA (Telecommunication Computing Electronics and Control) Majalah Geografi Indonesia JTSL (Jurnal Tanah dan Sumberdaya Lahan) Jurnal Geografi International Journal of Remote Sensing and Earth Sciences (IJReSES) Jurnal IMPACT: Implementation and Action GEOGRAPHY : Jurnal Kajian, Penelitian dan Pengembangan Pendidikan Indonesian Journal of Earth Sciences Priviet Social Sciences Journal Jurnal Geografi LIngkungan Tropik (Journal of Geography of Tropical Environments) The International Journal of Remote Sensing and Earth Sciences (IJReSES)
Muhammad Dimyati
Universitas Indonesia
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences Other

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ANALYZING LAND SUITABILITY FOR INDUSTRIAL AREAS IN PEKANBARU CITY USING THE SMCE METHOD AND GEOGRAPHICAL INFORMATION SYSTEMS Aisyah, Siti; Dimyati, Muhammad
Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments) Vol. 7, No. 2
Publisher : UI Scholars Hub

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Abstract

Domestic industrial growth continues to increase in line with population growth and the development of new areas, both in the city center and on the outskirts of the city. The location of Riau Province, which is close to Malaysia and Singapore, makes it an attractive investment destination, supported by Riau's abundant natural resources. Pekanbaru City, as the capital of Riau Province, consisting of 12 regencies/cities, serves as the center of government and economy. Among the 27 integrated industrial estates, there are two locations in Riau Province determined by the central government in the 2020-2024 RPJMN, namely Tanjung Buton in Siak Regency and Tenayan Raya in Pekanbaru City. Therefore, it is necessary to analyze the suitability of the land for industrial areas in Pekanbaru City, ensuring compliance with the Pekanbaru City Spatial Plan, as well as provincial and national spatial plans. The method used is SMCE (Spatial Multi-Criteria Evaluation) and Geographic Information System, taking into account physical variables such as distance from roads, rivers, settlements, and slopes. The results of spatial data processing will be overlaid with the map of the Tenayan Industrial Area in the Pekanbaru City Spatial Planning.
SPATIAL ANALYSIS OF LAND USE SUITABILITY AGAINST REGIONAL SPATIAL PLANNING AT THE FOOD ESTATE PLANNING SITE IN PULANG PISAU REGENCY, CENTRAL KALIMANTAN Budianto, Budianto; Setiadi, Hafid; Dimyati, Muhammad; Supriatna, Supriatna
Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments) Vol. 6, No. 1
Publisher : UI Scholars Hub

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Abstract

The limited space on land increases the important of spatial planning that is transparent, accountable and effective, which involves multi-stakeholders in its conception. Such planning is intended to create spatial arrangement that supports security, productivities and sustainability. In the attempt to secure food supply in the future, the government of Indonesia has initiated Food Estate program in 2020 which occupy some vast areas. By occupying large area, careful spatial planning and its proper implementation is highly important for a successful program. This study is a survey to the land use and land utilization in one of the planned areas for food estate project in Pulang Pisau Regency, Central Kalimantan, and evaluate their suitability with the designated spatial planning. There is 39.598,95 Ha or 61,24 % of the total land use that suitable with the spatial planning and 25.064,75 Ha or 38,76 % that is not suitable. It is expected that as the food estate program is rolling, the suitability percentage will increase and lead to the successful production of food supplies.
Spatial Analysis of Land Use and Land Utilization Based on Suitability Spatial Planning on Food Estate Planning Site in Kapuas Regency, Central Kalimantan Budianto, Budianto; Susiloningtyas, Dewi; Dimyati, Muhammad
Indonesian Journal of Earth Sciences Vol. 4 No. 2 (2024): July-December
Publisher : MO.RI Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52562/injoes.2024.834

Abstract

The limited space on land increases the importance of spatial planning that is transparent, accountable, and effective, which involves multi-stakeholders in its conception. Such planning is intended to create a spatial arrangement that supports security, productivity, and sustainability. In an attempt to secure food supply in the future, the government of Indonesia initiated a Food Estate program in 2020. This study analyzes land use and land utilization in regions planned for a food estate project in Kapuas Regency, Central Kalimantan, and evaluates their suitability with the designated spatial planning. The method used land surveying and spatial analysis to answer the research objective. The result explained that 85,492.58 Ha (49.20%) of land use is suitable for spatial planning. The area of 88,786.43 Ha (51.09%) of land utilization is suitable for its spatial planning. The survey was carried out at the early stage of spatial planning implementation throughout spatial development is ongoing. Development results that are in accordance with the spatial planning have not yet been seen, this happens because the determination of the spatial planning and the spatial suitability analysis are too close together. The food estate program has not been included in the Kapuas Regency spatial planning. The results of the research concluded that there was a large mismatch gap, it was necessary to revise the spatial planning by including the food estate program in the regional spatial planning.
State-of-the-Art Drought Handling in Indonesia Nurlambang, Triarko; Dimyati, Ratih Dewanti; Purbantoro, Babag; Rahatiningtyas, Nurul Sri; Legowo, Dewanti Aisyah; Fakhruddin, Ahmad; Dimyati, Muhammad; Enshito, Grizzly Pradipta Singhasana
Indonesian Journal of Geography Vol 56, No 3 (2024): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijg.92812

Abstract

Droughts tend to become more extreme, longer, and more frequent as an impact of climate change. Droughts now impact various development activities, especially those reliant on water resources, like agriculture for food security. Drought management issues in Indonesia stem from inadequate regulations and laws regarding drought response, due to intricate agency procedures and overlapping responsibilities. Nevertheless, there are currently established partial regulations and laws that govern the management of meteorological data and the accessibility of water resources. Without clear rules, policies, and frameworks, government policies on drought become less effective and overlapping. The research and novelty aim to design an integrated framework for handling drought by examining the present circumstances of relevant agencies using spatial nexus framework that is divided into three stages (construction, deconstruction, and reconstruction). During the first stage, the focus goes toward developing the construction framework will be proposed. The construction framework was conducted descriptively through a desk research method of drought management public policies, institutions, and operating systems for the agricultural sector in Indonesia. Moreover, a panel discussion was held to obtain the data and information about drought management by the government. Field observations were conducted to determine the handling of water resources practically for agriculture. Thus, drought management has been more concentrated on meteorological/climatological and hydrological elements. Moreover, it focuses on the statistical results of public and agricultural activities rather than on their socioeconomic consequences. A spatial approach will become the integration node of meteorological/hydrological elements, socioeconomic components, and agricultural activities.
Analysis of Human Activities and Deforestation Impact on Air Quality: a Paper Review Prasetya, Ferdian Adhy; Dimyati, Muhammad; Verdyansyah, Aprizal
Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Vol 22, No 1 (2025): March 2025
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/presipitasi.v22i1.38-46

Abstract

This paper discusses the relationship between changes in human activities and deforestation with the condition of pollutant concentration parameters in an area using the Google Earth engine (GEE) method. By applying the Systematic Literature Review method, it is expected to provide an explanation of changes in pollutant conditions, such as concentration patterns of CO, NO2, SO2, O3, HCHO, PM2.5, and PM10 as a result of changes in human activity and deforestation. Human activity patterns may change due to certain events or rules that force humans to follow them. A clear example is the lockdown event during the Covid-19 pandemic that resulted in restrictions on human activities, especially outdoor activities. Similarly, deforestation is the process of significant reduction of forest area through tree felling, forest burning, or other land use changes that result in loss of tree cover and alter forest ecosystems. Both of these events impact the environment and air quality in the region, such as affecting air pollution concentrations. In various studies, changes in human activities and deforestation have been shown to have a significant relationship and influence on air quality concentration parameters in a region.
Pemodelan Spasial Lahan Terbangun Kota Jambi Mardalena, Ayu; Supriatna, Supriatna; Dimyati, Muhammad
Majalah Geografi Indonesia Vol 39, No 1 (2025): Majalah Geografi Indonesia
Publisher : Fakultas Geografi, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/mgi.98027

Abstract

Abstrak. Kota Jambi memiliki kepadatan penduduk tertinggi di Provinsi Jambi, yang mendorong perubahan penggunaan lahan akibat ketidakseimbangan antara pertumbuhan populasi dan ketersediaan lahan. Penelitian ini bertujuan untuk menganalisis dinamika penutup lahan terbangun dari tahun 2013 hingga 2023 dan mensintesis prediksi penutup lahan terbangun tahun 2033 terhadap Rencana Tata Ruang Wilayah (RTRW). Penelitian ini menggunakan metode klasifikasi terbimbing dengan algoritma Random Forest (RF) pada citra satelit Landsat 8 untuk menganalisis perubahan dari tahun 2013, 2016, 2019, hingga 2023 yang telah diuji akursi dan validasi menggunakan indeks kappa. Untuk prediksi penutup lahan masa depan tahun 2033, digunakan metode MLP-CAMC melalui perangkat lunak Terrset 2020, dengan mempertimbangkan variabel seperti lereng, jarak dari jalan, jarak dari badan air (sungai dan danau), jarak dari pusat ekonmi, jarak dari sekolah, dan jarak dari prasarana tranportasi. Hasil penelitian menunjukkan bahwa luas lahan terbangun di Kota Jambi diproyeksikan meningkat secara signifikan hingga mencapai 11.892,52 hektar atau 70,41% dari total luas wilayah pada tahun 2033 Peningkatan ini terkonsentrasi di wilayah dengan kemiringan tanah datar hingga landai, dengan jarak dari jalan sebagai faktor paling berpengaruh. Pertumbuhan pesat lahan terbangun terutama terjadi di Kecamatan Paal Merah, Alam Barajo, dan Kota Baru. Dari sisi analisis kesesuaian dengan RTRW, pada tahun 2033 lahan terbangun diproyeksikan memiliki tingkat kesesuaian sebesar 90,5% terhadap kategori peruntukan lahan terbangun yang direncanakan, sementara 9,5% sisanya tergolong tidak sesuai. Penelitian ini menekankan pentingnya pengelolaan tata ruang yang terencana untuk mengantisipasi dampak negatif pertumbuhan lahan terbangun. Pengawasan ketat dan evaluasi RTRW secara berkala diperlukan guna mendukung pembangunan berkelanjutan di Kota Jambi. Abstract. Jambi experiences the highest population density in Jambi Province, which significantly impacts land use due to the mismatch between population growth and land availability. This study aims to analyze the dynamics of built-up area from 2013 to 2023 and synthesize projections for built-up area in 2033 in accordance with the Regional Spatial Plan (RTRW). The research employs a supervised classification method utilizing the Random Forest (RF) algorithm on Landsat 8 satellite imagery to track changes from the years 2013, 2016, 2019, and 2023, with accuracy validated using the kappa index. For forecasting land cover in 2033, the MLP-CAMC method was applied through Terrset 2020 software, incorporating factors such as slope, proximity to roads, distance from water bodies (including rivers and lakes), distance to economic centers, proximity to schools, and access to transportation infrastructure. The findings indicate a significant projected increase in built-up land in Jambi City, reaching 11,892.52 hectares or 70.41% of the total area by 2033. This growth is primarily concentrated in flat to gently sloping areas, with proximity to roads identified as the most influential factor. Notable expansion of built-up land is particularly observed in the subdistricts of Paal Merah, Alam Barajo, and Kota Baru. In terms of alignment with the RTRW, the projected built-up land for 2033 is anticipated to achieve a compatibility rate of 90.5% with the designated land-use categories, while 9.5% is classified as non-compliant. This study highlights the necessity of strategically planned spatial management to mitigate the adverse effects of built-up land expansion. Rigorous monitoring and regular evaluations of the RTRW are crucial to support sustainable development in Jambi City.Submitted: 2024-07-09 Revisions: 2024-12-06  Accepted: 2025-02-17 Published: 2024-02-17
Harnessing artificial intelligence for census in Nigeria: Advancing accuracy, efficiency, and governance outcomes Sani, Inuwa Sani; Dimyati, Muhammad; Umar, Aliyu Aminu
Priviet Social Sciences Journal Vol. 5 No. 11 (2025): November 2025
Publisher : Privietlab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55942/pssj.v5i11.662

Abstract

Successful administration of national censuses in Nigeria has been a protracted agony plagued by inherent problems, including logistic, political, and methodological issues, which cumulatively have caused delays in enumeration, undercounting, and inconsistency of data. These defects diminish the credibility of demographic data needed for evidence-based governance, economic planning, and equitable resource allocation._. In this study, we explored opportunities for harnessing Artificial Intelligence (AI) to transform census activities in Nigeria through the injection of state-of-the-art computational approaches into the national enumeration exercise. We showcased a multimodal AI pipeline comprising Convolutional Neural Networks (CNNs) for population density estimation from satellite images, Natural Language Processing (NLP) pipelines for address standardization and matching in various languages, and unsupervised anomaly detection algorithms for real-time data quality verification. AI-based enumeration methods were simulated at both national and sub-national levels. CNN-generated heatmaps revealed population concentration trends in Lagos and other states and enabled the precise delineation of high-density urban agglomerations and underserved rural enclaves. The NLP tool generalized well to the linguistically diverse environments in Nigeria, with F1-scores greater than 0.90 for all but a few states for broken address reconciliation. Anomaly detection models built using Isolation Forest algorithms detected anomalous enumeration patterns as flags for potential undercounts or data manipulation. Population pyramid analysis for Lagos revealed an extremely young population structure, consistent with country-wide age trends. These findings provide empirical evidence that AI integration can promote census accuracy, operational efficiency and government effectiveness in Nigeria.
SYSTEMATIC LITERATURE REVIEW: POLA SPASIAL, TREN DAN DINAMIKA DEFORESTASI HUTAN DALAM PRESPEKTIF PENGINDERAAN JAUH Noer, Marwah; Dimyati, Muhammad
GEOGRAPHY : Jurnal Kajian, Penelitian dan Pengembangan Pendidikan Vol 12, No 1 (2024): APRIL
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/geography.v12i1.17122

Abstract

Abstrak: Deforestasi merupakan hal yang menjadi perhatian dunia, laju deforestasi yang kian meningkat menjadi hal yang penting dikaji pola dan penyebabnya. Memahami pola, tren, dan dinamika deforestasi sangat penting untuk mewujudkan pembangunan berkelanjutan. Penginderaan jauh merupakan teknik yang paling sering digunakan dalam memetakan perubahan penggunaan lahan atau tutupan lahan termasuk deforestasi. Review ini dipandu oleh model PRISMA (Preferred Reporting Items for Systemic Review and Meta-Analyses). Lima artikel terkait deforestasi dan penginderaan jauh ditinjau dan dibandingkan menggunakan variabel judul, kata kunci, tujuan, sumber data, variabel, lokasi, metode, dan temuan utama. Hasil systematic literature review ini adalah metode penginderaan jauh yang dipadukan dengan GIS merupaka metode yang sangat baik dan cocok untuk melihat pola spasial, tren dan dinamika deforestasi hutan. Metode ini dianggap sangat efektif karena data penginderaan jauh saat ini sudah banyak tersedia dan dapat diakses dengan mudah. Landsat merupakan citra satelit yang paling banyak digunakan dalam kajian deforestasi. Variabel umum yang digunakan dalam penelitian deforestasi adalah luas hutan, lahan terbangun, lahan pertanian/ perkebunan dan tanah kosong. Dengan mengkaji tren dan dinamika deforestasi di berbagai negara, diharapkan dapat menghambat laju deforestasi di negara tersebut dan juga diharapkan adanya kebijakan yang sesuai untuk masing-masing negara dalam memperbaiki pengelolaan hutan.Abstract:  Deforestation is a matter of global concern. The increasing rate of deforestation is an important matter to study its pattern and causes. Understanding deforestation patterns, trends, and dynamics is essential to realizing sustainable development. Remote sensing is the most frequently used technique in mapping land use or cover changes, including deforestation. This review was guided by the PRISMA model (Preferred Reporting Items for Systemic Review and Meta-Analyses). Five articles related to deforestation and remote sensing were reviewed and compared using the variables title, keywords, objectives, data sources, variables, location, methods, and main findings. This systematic literature review shows that remote sensing combined with GIS is an excellent and suitable method for viewing spatial patterns, trends, and dynamics of forest deforestation. This method is considered very effective because currently remote sensing data is widely available and can be accessed easily. Landsat is the most widely used satellite imagery in deforestation studies. Common variables used in deforestation research are forest area, built-up land, agricultural/ plantation land, and vacant land. By studying the trends and dynamics of deforestation in various countries, it is hoped that this will inhibit the rate of deforestation in these countries and it is also hoped that appropriate policies will be developed for each country in improving forest management.
Daya Dukung Lahan Permukiman Berbasis Kemampuan Lahan di Wilayah Peri-Urban (Studi Kasus: Kabupaten Bekasi, Kabupaten Tangerang dan Kabupaten Bogor) Fadhilah, Raina Arfa; Dimyati, Muhammad; Indra, Tito Latif; Gracia, Enrico
Geomedia Majalah Ilmiah dan Informasi Kegeografian Vol. 22 No. 1 (2024): Geo Media: Majalah Ilmiah dan Informasi Kegeografian
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/gm.v22i1.65367

Abstract

Lahan merupakan sumberdaya penting yang kebutuhannya terus meningkat. Namun, ketersediaannya tidak bertambah yang memicu alih fungsi lahan di perkotaan, dan berefek pada perluasan lahan permukimannya ke pinggiran kota, yang disebut peri-urbanisasi. Jabodetabekjur adalah wilayah metropolitan terpadat di Indonesia dengan Kota Jakarta sebagai kota inti dan peri-urban, khususnya Kabupaten Bekasi, Kabupaten Tangerang dan Kabupaten Bogor. Penelitian ini bertujuan mengevaluasi daya dukung lahan permukiman berbasis kemampuan lahan berdasarkan dinamika fisik, sosial dan ekonomi wilayah peri-urban Kota Jakarta sebagai salah satu upaya perencanaan, pemanfaatan dan pengawasan lahan berkelanjutan. Metode yang digunakan dalam penelitian ini adalah studi literatur dengan data-data yang dikumpulkan dari sumber terkait. Hasil menunjukkan bahwa kemampuan pengembangan lahan permukiman di Kabupaten Bekasi, Kabupaten Tangerang, dan Kabupaten Bogor masih cukup tinggi, tepatnya masing-masing sebesar 97%, 98% dan 45,96% dan memiliki status daya dukung permukiman surplus masing-masing sebesar  2,6, 2,7, dan 1,87. Lahan permukiman potensial yang dihasilkan membentuk pola menyebar menuju dataran rendah dan wilayah studi kasus memiliki wilayah yang sudah bersifat kekotaan.
GLOBAL HORIZONTAL IRRADIANCE ESTIMATION IN TROPICAL TERRAIN USING SEMI-EMPIRICAL APPROACH: A SEASONAL ASSESSMENT IN WEST JAVA, INDONESIA Garniwa, Pranda Mulya; Azzahra, Rifdah Octavi; Dimyati, Muhammad
International Journal of Remote Sensing and Earth Sciences Vol. 21 No. 2 (2024)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/ijreses.v21i2.11405

Abstract

Accurate estimation of solar irradiance is essential for optimizing solar energy planning, particularly in tropical regions like Indonesia, where observational infrastructure is limited and atmospheric conditions are highly variable. This study addresses the challenge by applying the Perez semi-empirical model to estimate Global Horizontal Irradiance (GHI) across West Java, a topographically diverse province with seasonal weather dynamics. The model integrates satellite-based reflectance data from the GK2A satellite and atmospheric parameters from AERONET, using a spatial resolution of 0.5 km. GHI estimation was conducted for four tropical seasonal phases: the rainy season, transition to dry, dry season, and transition to rainy. Model validation was performed using hourly GHI measurements from two BMKG stations in Indramayu. The Perez model showed strong performance, with RMSE ranging from 146.96 to 163.52 W/m² and relative RMSE below 38%. The results indicate that the model reliably captures both seasonal and spatial variations of solar radiation under tropical atmospheric conditions. Spatial analysis reveals a consistent pattern: lowland and coastal areas receive significantly higher GHI compared to highland regions, which are affected by cloud formation and orographic effects. These findings confirm the model’s suitability for tropical solar forecasting and offer valuable insights for identifying high-potential zones for photovoltaic development.
Co-Authors Adlyani Husna Ahmad Fakhruddin Ahmad Zubair Akhmad Fauzy Anang Muchlis Andry Rustanto Anggara Setyabawana Putra Arief Wicaksono Astrid Damayanti Astridia Putri Nurhaliza Azis Musthofa Azzahra, Rifdah Octavi Babag Purbantoro Bawiling, Hendry Budianto Budianto Devy Nur Annisa Dewi Susiloningtyas Dimas Bayu Ichsandya Dimas Novandias Damar Pratama Dimyati, Ratih Dewanti Efriana, Anisya Feby Enshito, Grizzly Pradipta Singhasana Evi Anggraheni, Evi Fadhilah, Raina Arfa Farhan Makarim Zein Faris Zulkarnain Faris Zulkarnain Fitriani, Ananda Garniwa, Pranda Mulya Gracia, Enrico Hartono Hartono Hartono Hartono Heinrich Rakuasa I Wayan Gede Krisna Arimjaya Iqbal Putut Ash Shidiq Iqbal Putut Ash-Shidiq Irma Susanti Isnaini, Eva Nur Khairunnisa, N Kintan Maulidina Kustiyo Kustiyo Kustiyo Kustiyo Legowo, Dewanti Aisyah Logan, Axel Gilbert M. Martono Mamat Suhermat Maranti, Pinta Mardalena, Ayu Marfai, Muh Aris Masita Dwi Mandini Manesa MASITA DWI MANDINI MANESSA, MASITA DWI MANDINI Muhamad Rafli Muhammad Adnan Shafry Untoro Muhammad Haidar Noer, Marwah Nurrokhmah Rizqihandari Nurul Khakhim Nurul Sri Rahatiningtyas Onki Alexander Panji Nurul Achmadi Pranita Giardini Prasetya, Ferdian Adhy Projo Danoedoro Pryanto, Muhammad Bagus Puji Tri Handayani Purbantoro, Babag Putri, Ratih Fitria Raden Ramadhani Yudha Adiwijaya Rahatiningtyas, Nurul Sri Raisya Afifah Ratih Dewanti Ratih Dewanti Dimyati Ratih Dewanti Dimyati Ratih Dewanti Dimyati Ratri Candra Restuti Riza Putera Syamsuddin Rustanto, Andry S. Supriatna Sakina, N C Sani, Inuwa Sani Satria Indratmoko Setiadi, Hafid Siddiq, Ayyasy Siswanto Siswanto Siti Aisyah Supriatna Supriatna Taufik Walinono Tito Latif Indra Triarko Nurlambang Triarko Nurlambang Tuty Handayani Umar, Aliyu Aminu Verdyansyah, Aprizal Wahyu Lazuardi Zubair, Ahmad Zulfikri Isnaen Zulkarnain, Faris