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All Journal Jurnal Teknik ITS IPTEK Journal of Proceedings Series TELKOMNIKA (Telecommunication Computing Electronics and Control) Majalah Geografi Indonesia KERN Forum Geografi Jurnal Geosaintek JURNAL ILMIAH GEOMATIKA Jurnal Inotera GEOGRAPHIA: Jurnal Pendidikan dan Penelitian Geografi Makara Journal of Science Makara Journal of Technology Sewagati SEWAGATI: Jurnal Pengabdian Kepada Masyarakat GeoEco Jurnal Geosaintek Jurnal Penginderaan Jauh Indonesia Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Geoid - Journal of Geodesy and Geomatics
Bangun Muljo Sukojo, Bangun Muljo
Departemen Teknik Geomatika Institut Teknologi Sepuluh Nopember
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Integrasi Spasial Sistem Dinamik Untuk Analisis Perubahan Pola Aliran Sungai Dan Daerah Genangan Di Pantai Surabaya–Sidoarjo Sukojo, Bangun Muljo; Putri, Regina Verra Santiara Yahya; Suryani, Erma
Jurnal Geosaintek Vol. 3 No. 1 (2017)
Publisher : Institut Teknologi Sepuluh Nopember

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

Abstract

Faktor penyebab terjadinya genangan dan banjir adalah intensitas curah hujan lebih besardaripada perhitungan dalam perencanaan drainase dan intensitas hujan sesuai dengan perencanaan akantetapi limpasan air hujan tidak mampu ditampung oleh sistem drainase yang ada. Analisa spasial dapatdigunakan untuk mendapatkan pola aliran sungai dan daerah rawan genangan. Analisa spasial dilakukandengan menggunakan beberapa tipe data spasial yaitu: citra satelit penginderaan jauh untuk memetakantutupan lahan dan peta-peta tematik untuk melihat konfigurasi bentang lahan. Tujuan utama daripenelitian ini adalah mengetahui dan menganalisa perubahan pola aliran sungai dan daerah genangan diPesisir Surabaya-Sidoarjo. Hasil penelitian ini menunjukkan bahwa Daerah pesisir Surabaya bagian Utarasampai perbatasan Sidoarjo di dominasi oleh pola aliran Paralel, sedangkan daerah pesisir Sidoarjo lebihdi dominasi oleh pola aliran sungai Dendritik. Pola aliran sungai dari tahun 2009 hingga 2013 relatif tetap.Berdasarkan tingkat kerawanannya, kawasan pesisir pantai Surabaya-Sidoarjo didominasi kelas genangansangat rawan. Hal ini terjadi karena persebaran hujan dengan intensitas yang tinggi di daerah tersebut.Sehingga mengindikasikan bahwa selain tutupan lahan, curah hujan juga cukup mempengaruhi tingkatkerawanan daerah genangan. Pada tahun 2009 dan 2013, diperkirakan bahwa Sub DAS Jomblong dan SubDAS Greges merupakan daerah rawan genangan karena memiliki nilai debit maksimum yang melebihidebit eksistingnya.
Pembuatan Peta Suhu Permukaan Tanah untuk Mitigasi Urban Heat Island dengan Visualisasi Augmented Reality (Studi Kasus: Kota Surabaya) Hanif, Muhammad; Hayati, Noorlaila; Bioresita, Filsa; Hidayat, Husnul; Hanansyah, Megivareza Putri; Jaelani, Lalu Muhamad; Sukojo, Bangun Muljo; Rahmansyah, Ferdian Zaki
SEWAGATI: Jurnal Pengabdian kepada Masyarakat Vol 4 No 2 (2025): SEWAGATI: Jurnal Pengabdian kepada Masyarakat
Publisher : Sarau Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61461/sjpm.v4i2.131

Abstract

The Urban Heat Island (UHI) phenomenon in Surabaya is becoming increasingly apparent due to the conversion of green areas into built-up areas. This community service activity aims to map land surface temperature (LST) for the period 2016–2024 using Landsat 8 level 2 imagery and present it in augmented reality (AR) visualization to support public literacy. The analysis was conducted through calculations of NDVI, emissivity, LST, NDVI–LST linear regression, and field validation usinga thermohydrometer. The results show that the distribution of LST increased in 2016–2019, decreased in 2020, then increased again in 2021–2023 before decreasing in 2024. The negative correlation between NDVI and LST indicates that vegetation plays an important role in reducing temperatures. Field validation produced a coefficient of determination (R²) of 0.7213 with a maximum difference of 5°C between satellite data and measurements. The 2024 UHI map shows high intensity in densely built-up areas (Tegalsari, Genteng, Sawahan, Tambaksari, Wonokromo, and parts of Rungkut), while outlying areas like Benowo and Pakal are relatively cooler. AR-based visualizations have proven effective in helping the public and policymakers understand the UHI phenomenon more interactively and encouraging the development of mitigation strategies through reforestation and sustainable urban planning.
Ground Clutter Filtering pada Radar Cuaca Manado Utama, Dhira; Sukojo, Bangun Muljo
GEOGRAPHIA : Jurnal Pendidikan dan Penelitian Geografi Vol. 6 No. 1 (2025): Juni
Publisher : Jurusan Pendidikan Geografi Universitas Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/gjppg.v6i1.11699

Abstract

This study aims to improve the accuracy of Manado weather radar data by filtering ground clutter interference originating from reflections of surface objects such as mountains and buildings. The scope of the study includes the analysis of Manado weather radar reflectivity data in 2024, focusing on the North Sulawesi region. The methods used include thresholding techniques to separate weather signals from ground clutter, data processing using the Python programming and the wradlib module, and validation based on Himawari-9 satellite imagery and Automatic Weather Station (AWS) data. Radar data in VOL format is converted to geospatial projections to produce CMAX (Column Maximum Reflectivity) products and integrated with SRTM30 topographic data. The results show that thresholding is effective in reducing ground clutter, with a correlation value between radar rainfall estimates and AWS observations reaching 0.859 (MAE: 0.306 mm/10 minutes; RMSE: 1.283 mm/10 minutes). Mapping the results via Web GIS facilitates visualization of corrected data. The study's conclusion states that this method improves the accuracy of radar interpretation and rainfall estimates. This study provides operational contributions to weather information-based disaster mitigation in the Manado region.
Spatial Temporal Analysis of Mesoscale Convective System to Asia-Australia Monsoon in East Java Firdianto, Prasetyo; Sukojo, Bangun Muljo; Zakir, Achmad; Mulsani, Adi
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 19 No. 1 (2025)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/inderaja.v19i1.5136

Abstract

Indonesia maritime continent has the formation of clouds that can develop and evolution into MCSs (Mesoscale Convective System). Asian-Australian monsoon has an important influence in determining activities of MCSs. Research gap is analysis of relation between monsoon and MCSs in East Java where is greatly influenced by the monsoon. The data are weather satellite of Himawari, zonal wind and meridional wind ERA-Interim Model 850 mb. Determination of the MCSs follows the physical characteristics in the Maddox algorithm and the AUSMI index follows the Kajikawa algorithm. The method used is quantitative analysis of coefficient of correlation and determination, and qualitative in the form of descriptive analytic. It can be known that the Asian-Australian monsoon has weak influence on the MCSs in the East Java. AUSMI index has the same pattern and phase with frequency of MCSs on seasonal. 
ANALISIS KETELITIAN KLASIFIKASI PENUTUPAN LAHAN MENGGUNAKAN METODE DIGITIZE ON SCREEN DAN DEEP LEARNING SERIES CONVOLUTIONAL NEURAL NETWORK (CNN) BERDASARKAN CITRA LANDSAT-8 OLI (STUDI KASUS: PROVINSI KALIMANTAN TIMUR) Sukojo, Bangun Muljo; Ramadaningtyas, Niken
Jurnal Penginderaan Jauh Indonesia Vol 4 No 1 (2025)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jpji.v4i1.3370

Abstract

Land cover is dynamic due to human needs or natural events that can occur in a planned or unplanned manner. Dit. IPSDH-KLHK uses remote sensing satellite imagery data to generate land cover data using a visual interpretation method (manual interpretation). Object identification is done by digitizing on screen. Along with the development of the times and current technology, several studies have emerged regarding the classification of land cover and its accuracy test using the latest technology, one of which uses deep learning. In this study, the accuracy of the digitize on screen classification results and land cover classification using deep learning was carried out along with the accuracy test. The test for the accuracy of land cover classification as a result of digitizing on screen was carried out using the centroid method. Validation was carried out using high resolution satellite imagery, namely google earth pro according to the temporal acquisition of Landsat 8 imagery used, namely July 2019-June 2020 by spreading 360 samples randomly. The results show that East Kalimantan Province has 21 land cover classes with an overall accuracy value of 87.22% in the very good category and in the tolerance category. Land cover classification using deep learning is carried out using segmented Landsat-8 OLI images. Sampling was carried out with a segment picker for 20 land cover classes without the Mixed Dry Land Agriculture class. The classification results show overlapping because one land cover class is also classified into other classes and not all image areas are classified. The accuracy test was carried out with the same location of the sample point as the test sample for the digitize on screen method. The accuracy value of the deep learning method using 188 samples in classified areas resulted in an accuracy of 70.21% for 21 land cover classes. This is due to the many land cover classes with almost similar interpretation keys. The interpretation key of 21 land cover classes is more suitable for the digitize on screen method.
SPATIO TEMPORAL ANALYSIS TO INDICATIONS OF URBAN HEAT ISLAND IN JAMBI CITY Kurnianingsih, Kurnianingsih; Sukojo, Bangun Muljo; Siswanto, Siswanto; Ferdiansyah, Muhammad Reza
GeoEco Vol 11, No 2 (2025): GeoEco July 2025
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ge.v11i2.96211

Abstract

The high population growth in Jambi City has resulted in land conversion from vegetation to built-up land and settlements, and the use of motorized vehicles has increased the release of carbon emissions which also increase air temperature in Jambi City. To better understand and identify the urban heat island (UHI) phenomenon, spatial and temporal analysis is needed using remote sensing data with a long series from 2000 to 2024. This study aims to examine the intensity of UHI in Jambi City by measuring the surface urban heat island index (SUHII) and the urban thermal field variance index (UTFVI) by utilizing the Land Surface Temperature (LST) and Enhanced Vegetation Index (EVI) products. Correlation analysis shows that Jambi City is an area with the highest LST and the lowest EVI index compared to the surrounding areas. The SUHI intensity in Jambi City has a positive value between 0.2 - 2.5 °C. Meanwhile, the intensity of AUHI between urban and suburban areas ranges from -0.2 - 0.3 °C during the day and -0.1 - 0.1 °C at night. The UTFVI index is in the range of 0.01 - 0.07. Although the intensity of SUHI and AUHI is not too large and the decrease in EVI value can be an indicator of UHI in Jambi City. The correlation test between LST and air temperature of the station has a sufficient category except for the correlation between LST and air temperature of the Kerinci Meteorological Station which has a very weak category.
Co-Authors Afrinda Dara Kartikasari Afrinda Dara Kartikasari, Afrinda Dara Agita Setya Herwanda Agita Setya Herwanda Agung Budi Cahyono Agus Budi Agus Wibowo Aji, Pujo Akhmad Sigit Aisandy Akhmad Sigit Arisandy Alawy, Moh. Mahfudhdin Alfan Rozy Mahmudi Amalina, Nurul Chayah Andie Setiyoko Andie Setiyoko, Andie Andreas Kelvin Pujianto Antonius B. Wijanarto Anwar, Nadjadji Ardia Tiara Rahmi Ari Santoso Arifin, Irfan Samsul Arindi, Yurike Nisa Asadul Usud Asadul Usud, Asadul Awalin, Lilik Jamilatul B. Realino S. Basori Basori Bayu Aristiwijaya Bayu Aristiwijaya, Bayu Budi , Agus Budi Santoso Budisusanto , Yanto Budisusanto, Yanto Catur Paminto Laksono Chandra, Danang Surya Christiono Utomo Citra Prastika Dawamul Arifin Deni Ratnasari Dewi Masita Dewi Masita Dhanu Prihantoro Trijayanto Dhiyaulhaq Al Majid Diah Susilowati Diah Susilowati, Diah Diah Witarsih Dian Ratnasari Diya Rochima Lisakiyanto Diyah , Chali Matussa Dwipayana Kusumawardhana Erma Suryani Erma Suryani Ety Parwati Ety Parwati Eva Resti Febriani Eva Resti Febriani Farid Irawan Y. P Febriani , Eva Resti Febriani, Eva Resti Feny Arafah Ferdiansyah, Muhammad Reza Filsa Bioresita, Filsa Firdianto, Prasetyo Friska Melia Ode Binta Ode Binta Hadjoe, Muhammad Nabil Hana Sugiastu Firdaus Hanansyah, Megivareza Putri Hanif Khoirul Latif Harliyanti, Novi Ika Hauzan, Naufal Shidqi Hayati, Noorlaila Hendrata Wibisana Hepi Hapsari Handayani, Hepi Hapsari Hermawan, Raihan Daffa Hernandi Kustandiyo Hernandi Kustandiyo, Hernandi Herwanda, Agita Setya Hidayat, Husnul Husnul Hidayat, Husnul I Nyoman Fegie Inggit Lolita Sari Ipranta Ipranta Ipranta Ipranta, Ipranta Irfan Samsul Arifin Iva Ayu Rinjani Iva Nurwauziyah Iva Nurwauziyah Jaelani , Lalu Muhamad Jaelani, Lalu Muhamad Jaelani, Lalu Muhammad Jefri Ardian Nugroho Kholid Noor Syamsa Kurnia Setiawan W Kurnianingsih Kurnianingsih, Kurnianingsih Kustarto, Hendro Kusumawardhana , Dwipayana Laksono , Catur Paminto Lathifah , Rohmatul Latifatul Zahroh Latifatul zahroh Lisakiyanto, Diya Rochima LM. Jaelani Lukman Raharjanto Lukman Raharjanto, Lukman M. Nurcahyadi Mahmudi, Alfan Rozy Mayasari , Ratna Meika Sumarsono Meraty Ramadhini Moh. Mahfudhdin Alawy Muhammad Hanif Muhammad Taufik Muhharama Putra Prayoga Muhsi Mulsani, Adi Munawar Kholil Munawar Kholil Naufal Shidqi Hauzan Niswah Selmi Kaffa Noorlaila Hayati, Noorlaila Nurdin Nurdin Nurdin Nurul Aini Nurul Aini Nurul Chayah Amalina Nurwatik, Nurwatik Nurwauziyah, Iva NYOMAN DITA PAHANG PUTRA, NYOMAN Pratomo, Danar Guruh Prayoga , Muhharama Putra Putri, Regina Verra Santiara Yahya R A, Dwi Ayu Rahmani, Kania Hana Rahmansyah, Ferdian Zaki Rahmi, Ardia Tiara Ramadaningtyas, Niken Ramadhini, Meraty Ratnasari , Dian Rauf Syafriyyin Rauf Syafriyyin, Rauf Regina Verra Santiara Ricko Buana Surya Rif’anuddin, Sep Hamdan Rinjani, Iva Ayu Risdina Trisna Wardani Rizki Ramdhani Rohmatul Lathifah Rudi Firman Setyawan Ruki Ardiyanto Ruki Ardiyanto S Siswanto Santoso Santoso Santoso, Romario Sep Hamdan Rif’anuddin Setiawan, Nanang Siswoyo Siswoyo Siwi , Sukentiyas Estuti Sukentiyas Estuti Siwi Sukentyas Estuti Siwi Sya’roni , Ahmad Imam Taslyanto, Chelsea Alfarelia Putri Tazkiyatunnisa , Hana Teguh Harianto Trisnawati, Agnes Rusnalia Tubagus Solihuddin Tubagus Solihuddin Tyas Eka Kusumaningrum Tyas Eka Kusumaningrum, Tyas Eka Udiana Wahyu Deviantari Udiana Wahyu Deviantari, Udiana Wahyu Umboro Lasminto Utama, Dhira Vivi Diannita Sari Vivi Diannita Sari, Vivi Diannita Wahono Wahono Wahyu Teo Parmadi Wardani , Risdina Trisna Wibowo, Agus Witarsih, Diah Yanto Budisusanto, Yanto Yudi Wahyudi Yudi Wahyudi Yulianti Puspitasari Yurike Nisa Arindi Yusuf S. Djajadihardja, Yusuf S. Zahroh, Latifatul Zakir, Achmad Ziyadatul Rofita