cover
Contact Name
Muhammad Aldila Syariz
Contact Email
aldilasyariz@its.ac.id
Phone
+6282131726693
Journal Mail Official
aldilasyariz@its.ac.id
Editorial Address
Geomatics Engineering's Building, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia
Location
Kota surabaya,
Jawa timur
INDONESIA
Geoid - Journal of Geodesy and Geomatics
ISSN : 18582281     EISSN : 24423998     DOI : https://doi.org/10.12962/geoid.v20i1
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
Articles 504 Documents
Kajian Pengurangan Sampah pada TPS3R Kecamatan Gunung Anyar, Kota Surabaya: Assessment of Municipal Solid Waste Reduction in Community-Based Reduction Facility District of Gunung Anyar Surabaya City Fadhillah Mukhtar, Reza; Agustina Wilujeng, Susi; Herumurti, Welly
GEOID Vol. 19 No. 3 (2024)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v19i3.2607

Abstract

Abstrak: Timbulan sampah Kecamatan Gunung Anyar Kota Surabaya mengalami peningkatan walaupun telah memiliki berbagai fasilitas pengelolaan sampah seperti TPS3R. TPS3R Gunung Anyar direncanakan mengelola sampah sebesar 1.161 ton/tahun, namun saat ini hanya mampu mengelola sampah sebesar 595 ton/tahun dengan residu 48,7%, melebihi batas yang seharusnya mampu dihasilkan oleh TPS3R sebesar 30%. Penelitian ini menganalisis kondisi pengelolaan sampah di TPS3R Gunung Anyar dan optimalisasi kinerjanya untuk mencapai target pengurangan sampah pemerintah. Metode yang digunakan pada perhitungan timbulan dan komposisi sampah mengacu pada SNI 19-3964-1994 dengan menggunakan metode load count analysis. Metode yang digunakan dalam analisis partisipasi masyarakat adalah penyebaran kuesioner dengan pembuatan kuesioner yang mengacu pada metode skala likert. Hasil penelitian ini menunjukkan bahwa TPS3R Gunung Anyar mampu menangani rata-rata 3.502 kg sampah per hari dengan densitas 264 kg/m³. Saat ini TPS3R Gunung Anyar memiliki tingkat pengurangan sampah mencapai 41,2% dengan residu 58,8%. Mayoritas masyarakat memiliki pengetahuan baik (72%) dan sikap positif (92%) terhadap pengelolaan sampah berbasis 3R, tetapi hanya 35% yang aktif berpartisipasi. Dua alternatif dianalisis sebagai rencana untuk meningkatkan pengurangan sampah. Alternatif pertama meliputi optimalisasi pemilahan dan jam kerja, dengan potensi pengurangan sampah 2.551 kg/hari (55%). Alternatif kedua, yang mencakup pengembangan lahan dan perubahan pihak ketiga, berpotensi mengurangi sampah hingga 3.244 kg/hari (70%). Abstract: Municipal solid waste generation in Gunung Anyar District Surabaya City has risen despite having TPS3R facilities. TPS3R Gunung Anyar is designed to handle municipal solid waste of 1,161 tons/year, but currently, it manages only 595 tons/year, with a residue rate of 48.7%, exceeding the acceptable limit of 30%. This study examines municipal solid waste management at TPS3R Gunung Anyar and determines the performance optimization to meet government solid waste reduction targets. Determination of municipal solid waste generation and composition was conducted based on SNI 19-3964-1994 and load count analysis. Community participation was assessed using Likert-scale questionnaires. TPS3R Gunung Anyar handled an average solid waste of 3,502 kg/day with a density of 264 kg/m³. The facility achieved a reduction rate of 41.2%, with a residue of 58.8%. Most of the community had good knowledge (72%) and a positive attitude (92%) toward 3R waste management, but only 35% actively participated. Two alternatives were analyzed to improve solid waste reduction. The first alternative is optimizing sorting and working hours, potentially reducing solid waste by 2,551 kg/day (55%). The second alternative involves expanding the facility and changing waste collectors, with a potential reduction of up to 3,244kg/day (70%)
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.
A Look at the Time Series of NDVI and NDWI at a Wildfire Site in California, USA Jeyachandran, Indumathi
GEOID Vol. 20 No. 2 (2025)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v20i2.1917

Abstract

California has experienced some of the deadliest wildfires in the recent years. Thomas Fire is the eighth largest wildfire in the state of California. In this paper, the correlation between vegetation health and canopy water content and wildfire occurrences is analyzed using Thomas Fire site as the case study site. Time series of Landsat 8 OLI and TIRS Level -1 GeoTIFF data during the period of 2013 to was processed in Esri ArcMap 10.7, and Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) were computed. The results of the case study demonstrate the potential of Landsat 8 surface reflectance - derived Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) to monitor and identify areas susceptible to wildfire triggers and occurrences.
Refining the Indonesian Geoid Model: A Comparative Study of Global Geopotential Models in East Kalimantan Alvito, Fahri Dean; Nadzir, Zulfikar Adlan; Nurhayati, Misfallah
GEOID Vol. 20 No. 2 (2025)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v20i2.3068

Abstract

Gravity field along with its derivative, geoid, is one of the important pillars of Geodesy. The geoid is utilized in many countries as the vertical reference system, Indonesia as well. However, Indonesia is unique in topography, made the computation of geoid model throughout the archipelago a challenge. The development of geoid model in Indonesia has 4 phases, with the latest in 2020 and 2023. INAGEOID2020 is the Indonesian geoid model used as vertical reference frame for vertical control in Indonesia, updated to version 2.0 in 2023. However, it has not achieved the target accuracy of 5 cm throughout the country. INAGEOID2020 v2.0 is based on the EGM2008 global geopotential model (GGM) with order and degree 360, which is now nearly 20 years old. The implementation of EGM2008 into the regional model also lacked a fitting process, relying solely on functional calculations. This study proposes using modern GGMs, namely EGM2008, XGM2019e, and SGG-UGM-2, along with a fitting process to improve geoid modeling, to optimize the future iteration of Indonesian Geoid Model. The research compares the gravimetric undulations of these models to geometric undulations at 264 validation points, both with and without fitting in East Kalimantan. The fitting improved the accuracy of EGM2008 and XGM2019e, but SGG-UGM-2 performed worse due to elevation discrepancies both before and after the fitting, mainly due to difference on the starting point close to the coast. XGM2019e at degree 2190, truncated to 720 and 360 showed the best results after the fitting, achieving standard deviation and root mean square error (RMSE) values of 0.061 m and 0.064 m, respectively. The performance of EGM2008 is not far behind XGM2019e. This finding indicates that the XGM2019e is the best out the trio, making it a promising alternative to be utilized for future geoid modeling in Indonesia.
Development of Three JS-based 3D Scene with Seamless Visualization of Gaussian Splatting and Transformation to Global Coordinates Dzulvikar, Azfa Ahmad; Harintaka; Ikhrom
GEOID Vol. 20 No. 2 (2025)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v20i2.4680

Abstract

Existing scholarly literature on the Gaussian Splatting algorithm has predominantly concentrated on improving the rendering and reconstruction of three-dimensional objects, as well as exploring its applications in various academic disciplines, such as medicine, robotics, and mapping, while being limited to local coordinate systems. This study describes the development of a 3D scene modeled using the Gaussian Splatting algorithm, featuring accurate distance and position geometry based on Three JS. The developed 3D scene was then evaluated with precise position and distance coordinates in the field and compared to the established SfM-MVS (Structure from Motion-Multi View Stereo) algorithm. The findings demonstrate that the proposed development successfully generated Three JS-based 3D scenes with global coordinate compatibility utilizing the Gaussian Splatting algorithm, achieving the same level of position and distance accuracy as the SfM-MVS algorithm, with a 95% confidence interval using T-Test. This research concludes that the developed approach is successful and can be further expanded for various scientific fields that require accurate position and distance information using Gaussian Splatting Algorithm.
Change Detection of Topographic Features using Iteratively Reweighted Multivariate Alteration Detection and Random Forest Classification for Partial Updating of Indonesian Topographic Map Purwati, Endang; Harintaka
GEOID Vol. 20 No. 2 (2025)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v20i2.6364

Abstract

The current demand for geospatial information is increasingly urgent across various sectors, making the provision of base maps a top priority that is currently being accelerated. However, a major challenges faced today is the outdated nature of the Indonesian Topographic Map (Peta Rupabumi Indonesia/RBI), many of which were produced several years ago and are now considered obsolete. Updating the data is essential to ensure the validity of geospatial information in accordance with current conditions. At present, the detection of change in topographic feature is still largely conducted manually, thereby necessitating the exploration of methods to accelerate partial map updating processes. This study implements a change detection approach using Iteratively Reweighted Multivariate Alteration Detection (iMAD) method, in combination with Random Forest (RF) and Rule-based Classification. The iMAD technique is relatively insensitive to radiometric differences between acquisition times and simultaneously considers all spectral bands. Its iterative process improves accuracy, making it suitable for change detection in partial mas updates. Random Forest Classification supports the interpretation of iMAD results by providing information on changes in land cover types. The iMAD results indicate that the majority of detected changes fall under the ambiguous category (49,18%), followed by unchanged pixels (24,78%), significant changes (20,91%), and agricultural changes (5,13%). Overall accuracy of Random Forest Classification reached 90,45 % in 2019 and 93,20 % in 2023. The Kappa coefficient was 0,8920 and 0,8936 for 2019 and 2023, respectively. The final change detection results, after applying rule-based classification show that 19,70% of the study area experienced change, while 80,30% remained unchanged. Therefore, this approach presents an effective and efficient alternative for conducting partial updates of the Indonesian Topographic Map (RBI).