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Muhammad Aldila Syariz
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aldilasyariz@its.ac.id
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Geomatics Engineering's Building, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia
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Kota surabaya,
Jawa timur
INDONESIA
Geoid - Journal of Geodesy and Geomatics
Published by Institut Teknologi Sepuluh Nopember Surabaya
ISSN : 18582281     EISSN : 24423998     DOI : https://doi.org/10.12962/geoid.v20i1
Core Subject : Science, Agriculture, Social, Engineering,
Agriculture, Biological Sciences & Forestry Earth & Planetary Sciences Engineering Environmental Science
General topics of interest include: - Geodesy and geomatics development theory - Geodesy and geomatics applications - Natural Disaster - Land and Ocean Development - Natural Resources - Environment - Science and technology in Mapping and Surveying - Earth Sciences A further issue related to geodesy and geomatics engineering such as: - Optical Remote Sensing and Radar Remote Sensing - Cadastre and 3D Modeling - Geodynamics theory and application - Geospatial - Land Surveying - Geomarine - Photogrammetry
Arjuna Subject : Ilmu Bumi dan Planet (semua kategori) - Ilmu Bumi dan Planet (Lain-Lain)
Articles 10 Documents
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Search results for , issue "Vol. 20 No. 1 (2025)" : 10 Documents clear
Pembuatan Peta Foto Udara Desa Campurejo Skala 1:5000 Menggunakan Metode UAV Photogrammetry Hidayat, Husnul; Deviantari, Udiana Wahyu; Kurniawan, Akbar; Bioresita, Filsa; Nurwatik, Nurwatik
GEOID Vol. 20 No. 1 (2025)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v20i1.1618

Abstract

Desa Campurejo adalah salah satu desa pesisir yang terletak di bagian utara Provinsi Jawa Timur. Secara sekilas, desa ini memiliki kawasan terbangun yang cukup luas meskipun kawasan tidak terbangun berupa lahan pertanian, lahan terbuka, dan vegetasi juga cukup dominan. Desa ini memiliki luas wilayah sekitar 370 hektar yang terpisah ke dalam dua wilayah. Dengan kondisi geografis dan batas administrasi yang tidak biasa tersebut keberadaan peta desa berskala besar menjadi penting bagi Desa Campurejo. Salah satu metode untuk membuat peta berskala besar dengan murah dan cepat adalah menggunakan wahana Unmanned Aerial Vehicle (UAV). Penelitian ini memaparkan pembuatan peta Desa Campurejo menggunakan UAV. Proses akuisisi data dilakukan dengan wahana quadcopter dengan tinggi terbang 150 meter di atas permukaan tanah dengan pertampalan ke depan dan ke samping sebesar 80%. Untuk menjangkau seluruh area desa diperlukan 9 misi penerbangan yang menghasilkan 2163 foto. Proses pengolahan foto udara hingga menjadi citra ortofoto dilakukan dengan metode Structure from Motion (SfM). Dari hasil pengolahan tersebut diperoleh citra foto udara dengan Ground Sample Distance (GSD) sebesar 4,17 cm. Namun untuk efisiensi penyimpanan data, citra ortofoto yang digunakan memiliki resolusi spasial 10 cm. Secara geometrik citra ortofoto yang dihasilkan memiliki RMSE sekitar 5 cm, yang menurut kriteria CE90 memiliki akurasi horizontal sebesar 8 cm. Dengan akurasi tersebut citra yang dihasilkan dapat digunakan untuk membuat peta berskala 1:1000. Namun dengan pertimbangan luas, batas, dan kedudukan wilayah desa peta yang dihasilkan memiliki skala 1:5000 yang dapat memperlihatkan seluruh wilayah desa beserta eksklavenya dalam satu lembar peta. Peta tersebut juga dilengkapi dengan informasi sebaran fasilitas umum yang didapatkan dari hasil survey lapangan, dan informasi batas desa yang diperoleh dari INA Geoportal.
Mangrove Density Analysis in Teluk Semanting Ecotourism Area using NDVI Yusiyanti, Irma; Fadlullah Sam, Fathi; Muflichin Purnama, Syaiful
GEOID Vol. 20 No. 1 (2025)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v20i1.2540

Abstract

The mangrove ecosystem is of critical importance as a coastal vegetation system, playing a significant role in maintaining environmental stability, supporting social welfare, and fostering economic growth. In Teluk Semanting, Berau, East Kalimantan, mangrove forests play a vital role in preventing erosion, mitigating abrasion, providing habitats for various fauna, and supporting sustainable livelihoods through ecotourism. However, the area's mangrove forests are under threat due to the impact of human activities. To monitor mangrove forest development and prevent further degradation, it is essential to assess changes in the spatial distribution of mangrove land cover. This study utilises Sentinel-2A satellite imagery and the Normalized Difference Vegetation Index (NDVI) algorithm to analyse the spatial and temporal dynamics of mangrove cover in Teluk Semanting during the period 2019–2023. The results indicate a substantial decline in the high-density mangrove category, from 844.93 hectares in 2019 to 676.00 hectares in 2023, while the low- and medium- density categories exhibited a significant increase in area. This indicates a shift in mangrove quality from high-density to medium- and low- density categories. Regression analysis demonstrated a strong positive correlation (R² = 72.43%) between NDVI values and mangrove canopy density observed in the field, thereby underscoring the reliability of satellite imagery for monitoring mangrove conditions. The study emphasises the necessity of continuous monitoring and the implementation of conservation strategies to ensure the preservation of the ecological and economic benefits provided by mangrove ecosystems. This is particularly pertinent given the area's designation for ecotourism, where inadequate management could have adverse effects on the local community and global environmental stability.
Estimation of Total Carbon Stock and Mangrove Health Index in Sidoarjo using Machine Learning Spectral Analysis Method of Sentinel-2A Satellite Imagery Alina, Aldea Noor; Yahya, Fahrul; Safitri, Dika Ayu; Sanjaya, Hartanto; Rahmawaty, Mitha Asyita
GEOID Vol. 20 No. 1 (2025)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v20i1.2553

Abstract

The mangrove ecosystem has the potential ability to absorb carbon dioxide better than other forest ecosystems. It is noted that mangrove forests have an important role in reducing the concentration of carbon dioxide in the air. Changes in land cover conditions, massive development of urban areas, and the large need for housing in the Sidoarjo are the main causes of the decline in the area of mangrove forests which have been converted into fish ponds and residential areas. This triggers a decline in the quality of mangroves and will directly impact on reducing the capacity to store carbon reserves in Sidoarjo Regency. Biomass estimation calculations were carried out using the NDVI algorithm from remote sensing results using Sentinel Imagery – 2A. Apart from that, the mangrove health index was also calculated using the GCI (Green Chlorophyll Index), SIPI (Structure Insensitive Pigment Index), NBR (Normalized Burn Ratio), and ARVI (Atmospherically Resistant Vegetation Index). Based on the calculation results, the value obtained for the coastal area of Sidoarjo Regency the TCS or total carbon stock ranged from 1.1679468503445e-09 to 84.3344 TonC/hectares. Meanwhile, the results of the mangrove health index calculation show that the condition of mangroves in the coastal area of Sidoarjo Regency has a sufficient mangrove health index, with the highest area being 637.77 hectares, while only 10.80 hectares are available has a good health index. The results of this study are expected to be one of the bases for decision-making and policies in the rehabilitation and conservation of mangrove in Sidoarjo.
Prediction of Rice Productivity Using the Random Forest Regression Algorithm in Cikaret Subdistrict for the Years 2020-2024 Firdaus, Muhammad; Hadi, Firman; Sabri, L M
GEOID Vol. 20 No. 1 (2025)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v20i1.2570

Abstract

The challenges surrounding rice productivity in Indonesia are growing more complex due to factors like climate change, population growth, and limited agricultural land. As the primary food source and main carbohydrate provider, rice is crucial for the majority of Indonesians. This study focuses on predicting rice productivity using the random forest regression algorithm, incorporating predictor variables such as NDVI, NDMI, land area, land surface temperature, rainfall, fertilizer type, and pests. To ensure the accuracy of the model, multicollinearity tests were conducted to check for strong correlations among the independent variables. The tests confirmed the absence of significant linear relationships, allowing all variables to be included in the model. The prediction model was built using time-series data from 2020 to 2023, resulting in 840 samples after eliminating outliers. The optimization process targeted the mtry parameter and the number of decision trees to reduce prediction error. The optimal model, utilizing 7 predictor features and 150 decision trees, achieved a low out of bag (OOB) error and stable mean square error (MSE). Model performance metrics showed a Mean Absolute Error (MAE) of 0.324 tons/hectare, MSE of 0.158 tons/hectare, Root Mean Square Error (RMSE) of 0.398 tons/hectare, and a coefficient of determination (R²) of 0.87. These results demonstrated that the random forest regression algorithm is highly effective in predicting rice productivity, particularly when dealing with complex data involving multiple predictor variables and potential multicollinearity.
Evaluasi Tingkat Kekritisan Daerah Resapan Air di Rencana Tata Ruang Kabupaten Blitar Mansyur, Mohammad; Mahardianti, Melisa Amalia; Yahya, Fahrul
GEOID Vol. 20 No. 1 (2025)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v20i1.2578

Abstract

Penelitian ini bertujuan untuk mengevaluasi tingkat kekritisan daerah resapan air di pola tata ruang kawasan resapan air Kabupaten Blitar. Untuk tujuan tersebut, maka dalam penelitian ini dilakukan pemetaan kondisi kawasan resapan air di Kabupaten Blitar. Dasar parameter penelitian ini adalah Peraturan Menteri Kehutanan Republik Indonesia Nomor : P. 32/MENHUT-II/2009. Parameter dalam peraturan tersebut meliputi jenis tanah, kemiringan lereng, tutupan lahan dan curah hujan. Metode yang digunakan dalam penelitian ini yaitu metode skoring setiap parameter dan teknik tumpang susun (overlay). Hasil penelitian ini menunjukkan tingkat kekritisan daerah resapan air pada pola tata ruang kawasan resapan air di Kabupaten Blitar sebagian besar menunjukkan kondisi baik (60,70%) dan normal alami (27,96%), yang mencerminkan kesesuaian dengan rencana tata ruang periode 2011–2031. Namun, terdapat area yang mulai kritis (11,29%) dan agak kritis (0,04%), yang didominasi oleh lahan terbangun. Untuk mempertahankan fungsi kawasan resapan air perlu penyesuaian rencana pola ruang, pengurangan lahan terbangun, serta penerapan langkah konservasi yang efektif. Evaluasi menyeluruh terhadap penetapan pola tata ruang menjadi hal krusial dalam mendukung pengelolaan yang berkelanjutan di Kabupaten Blitar.
Quantitative Geomorphology Approach in the Assessment of Relative Tectonic Activity in Cikandang Watershed, South West Java Fahira, Ghina; Sukiyah, Emi; Muslim, Dicky
GEOID Vol. 20 No. 1 (2025)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v20i1.2619

Abstract

Cikandang Watershed in Cisewu Block, South West Java, is an area with significant tectonic activity that is reflected in geomorphological characteristics. This study aims to evaluate the relative tectonic activity in the Cikandang watershed using a quantitative geomorphological approach. Research methods involved six morphotectonic parameters: Valley Height-Width Ratio (Vf), Mountain Face Sinusity (Smf), Basin Shape Index (Bs), Asymmetry Factor (Af), Integral Hypsometry (Hi), and River Length Gradient Index (SL). These parameters were analysed to determine the Index of Relative Tectonic Activity (IATR) in 45 3rd-order catchments. Results showed variations in the level of tectonic activity in the Cikandang watershed. Based on the Index of Relative Tectonic Activity (IATR) value, 6 catchments belong to the high tectonic class, 34 catchments are in the medium tectonic class, and 5 catchments are in the low tectonic class. Analysis results indicate the presence of intensive tectonic deformation. These distributions reflect the significant influence of ‘moderate’ tectonic activity which is also indicated by the role of erosional processes in shaping the geomorphology of the Cikandang watershed. Morphotectonic features such as V-shaped valleys and irregular drainage patterns support the indication of tectonic activity. This research provides an overview of the influence of tectonic activity on geomorphological development in the Cikandang watershed.
Analisis Kualitas Air Serta Status Mutu Dengan Menggunakan Metode Indeks Pencemaran Pada Hari Panas Dan Hujan Di Kawasan Mangrove Desa Poka, Kota Ambon Persulessy, Janeth Angel; Sulaksana, Nana; Iskandarsyah, Teuku Y. M. W.
GEOID Vol. 20 No. 1 (2025)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v20i1.2635

Abstract

Mangrove merupakan salah satu ekosistem pesisir yang memiliki peranan penting dalam menjaga keseimbangan lingkungan. Namun ekosistem ini juga rentan mengalami kerusakan, baik secara alami maupun aktifitas manusia. Penelitian ini bertujuan untuk menganalisis kualitas air serta tingkat pencemaran air di aliran sungai hingga pesisir kawasan mangrove Desa Poka, Kota Ambon dengan menggunakan metode Indeks Pencemaran (IP). Pengambilan data air dilakukan pada hari panas dan hari hujan untuk mengukur beberapa parameter kualitas air. Hasil penelitian menunjukkan adanya perbedaan nilai parameter antara hari panas dan hari hujan. Sementara itu, berdasarkan hasil perhitungan IP, status mutu air berada pada katergori tercemar ringan hingga sedang.
Pendugaan Potensi Air Tanah di daerah Rawan Air berbasis SIG dengan Analisis Multi Kriteria Prabawa, Septa Erik; Mahardianti, Melisa Amalia; Khoiridah, Sayyidatul; Susilo, Yunus; Ragana, Izza Muzakhi Reksa; Amirul Huda, Muhammad Ananda; Alfiansyah, Saddam
GEOID Vol. 20 No. 1 (2025)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v20i1.2663

Abstract

Penelitian ini bertujuan untuk menduga potensi air tanah di daerah rawan air dengan pendekatan Sistem Informasi Geografis (SIG) dan Analisis Multi Kriteria (MCA). Studi ini dilakukan di Kabupaten Tuban dengan mempertimbangkan berbagai parameter geospasial, seperti kemiringan lereng, jenis tanah, kondisi geologi, indeks vegetasi (NDVI), tutupan lahan, curah hujan, dan densitas drainase. Data yang digunakan meliputi DEMNAS, peta geologi, peta jenis tanah, serta data curah hujan dari BMKG. Hasil analisis menunjukkan bahwa potensi air tanah di Kabupaten Tuban berkisar antara kategori sedang hingga tinggi. Faktor utama yang mendukung potensi air tanah tinggi meliputi kemiringan lereng landai (0–5%), jenis tanah berpasir, struktur geologi berupa batu gamping dan endapan aluvium, tutupan lahan dominan berupa agrikultur dan hutan, serta curah hujan tinggi (>1.000 mm/tahun). Kecamatan dengan potensi air tanah tinggi antara lain Montong, Merakurak, Semanding, Rengel, dan Plumpang. Penelitian ini menegaskan bahwa metode SIG dan MCA efektif dalam mengidentifikasi potensi air tanah berdasarkan parameter geospasial. Hasil studi ini dapat digunakan sebagai referensi dalam perencanaan pengelolaan sumber daya air tanah serta mitigasi kekurangan air di daerah rawan.
Pemanfaatan Citra Satelit untuk Penentuan Lokasi Bangunan Cagar Budaya Kerajaan Majapahit Menggunakan Metode Delineasi (Studi Kasus : Kawasan Cagar Budaya Trowulan Mojokerto) Yahya, Fahrul; Mahardianti, Melisa Amalia; Susilo , Yunus
GEOID Vol. 20 No. 1 (2025)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v20i1.2689

Abstract

Kawasan trowulan merupakan Zona Kerajaan Majapahit yang berada di Kabupaten Mojokerto secara administrasi beririsan dengan dua Kabupaten, yaitu kabupaten Mojokerto dan Kabupaten Jombang. Terdiri dari 6 (enam) kecamatan diantaranya adalah Kecamatan Jatirejo, Puri, Trowulan, Sooko, Mojowarno, Mojoagung dan Kecamatan Sumobito. Kawasan Trowulan masuk dalam KSN (Kawasan Strategis Nasional) dimana wilayah yang penataan ruangnya diprioritaskan karena memiliki pengaruh sangat penting secara nasional, baik terhadap kedaulatan negara, ekonomi,sosial, budaya, dan/atau lingkungan. Termasuk wilayah yang telah ditetapkan sebagai warisan dunia atau World Heritage. Penelitian ini dipilih karena memiliki tingkat signifikansi yang besar dalam berbagai aspek, diantaranya adalah aspek pembangunan dan pengembangan daerah kawasan pariwisata sejarah, serta aspek ilmu pengetahuan, teknologi, dan budaya. Salah satunya ialah pelestarian cagar budaya dengan memanfaatkan citra satelit dan metode delineasi. Penelitian tersebut dapat membantu dalam melakukan identifikasi serta monitoring terhadap area situs purbakala yang rentan terhadap kerusakan, baik yang disebabkan bencana alam maupun kerusakan yang disebabkan oleh aktivitas manusia. Tujuan penelitian ini untuk mengidentifikasi letak lokasi situs bangunan cagar budaya berdasarkan sistem zonasi di Kawasan Trowulan dengan metode memetakan Zona Inti, Zona Penyangga, Zona Pengembangan dan Zona Penunjang. Metode penelitian ini dilakukanMelalui proses interpretasi visual dari citra dan menggabungkan dengan teknik digitasi on screen, dapat dilakukan deliniasi dan zonasi penentuan titik lokasi serta zona cagar budaya Kawasan Trowulan. Penggunaan citra satelit Google Earth Pro, terutama pada penelitian zonasi lokasi cagar budaya sedikit memiliki kendala dalam observasi di lokasi lapangan. Hasil pemetaan deliniasi dan zonasi didapatkan beberapa peta, yaitu Peta Deliniasi Kawasan Cagar Budaya Nasional Trowulan dan Peta Zonasi (Zona), Peta Delineasi Sektor 5 Segaran, Sektor 12 Grobogan, Zona Inti Balong Bunder, Zona Penyangga Sektor 21.
Land Value Modeling Using Log-Linear Multiple Regression Irbah, Nafisatus Sania; Putri, Intan Permata; Deviantari, Udiana Wahyu
GEOID Vol. 20 No. 1 (2025)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v20i1.2725

Abstract

Land value is an assessment of land based on its economic potential. It is influenced by various factors, including public facilities, road networks, and proximity to supporting infrastructure. Land value information plays a crucial role in infrastructure development, budget planning, and site selection for new infrastructure projects. According to the Surabaya City Regional Spatial Plan (Rencana Tata Ruang Wilayah – RTRW) 2014–2034, the development of Teluk Lamong Port, located in the Tambak Osowilangun Subdistrict, aims to enhance national logistics efficiency by alleviating traffic congestion at Tanjung Perak Port, which has exceeded its maximum capacity. This development is expected to affect land values in the subdistrict. Therefore, an objective land valuation is necessary, which can be achieved through modeling. This study employs a Multiple Linear Regression (MLR) approach with a log-lin model to determine land values. The modeling was conducted using 87 land sale and purchase transaction records, which were adjusted based on Circular Letter of the Directorate General of Taxes No. SE-55/PJ.6/1999. The independent variables used in the model include Land Area (LT), Land Use (PL), Distance to Road (JJ), Distance to Port (JPTL), Distance to the Central Business District (JCOP), and Distance to the Terminal (JTTO). The model was evaluated using statistical tests, including the coefficient of determination, partial test, simultaneous test, multicollinearity test, and Coefficient of Variation (CoV) for model evaluation. The resulting land value model is expressed as: Ln NTE = 9.305184 + (1.053730 × PL) + (-0.000450 × JCOP) + (0.000823 × JPTL). The CoV value obtained remains acceptable as it is below 20%, indicating the model's reliability.

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