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All Journal Jurnal Geodesi Undip Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian Journal of Applied Geospatial Information Elipsoida : Jurnal Geodesi dan Geomatika Jambura Geoscience Review JGISE-Journal of Geospatial Information Science and Engineering Jurnal Pasopati : Pengabdian Masyarakat dan Inovasi Pengembangan Teknologi Indonesian Journal of Environment and Disaster Geoid - Journal of Geodesy and Geomatics
Abdi Sukmono, Abdi
Departemen Teknik Geodesi, Fakultas Teknik Universitas Diponegoro
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Earth & Planetary Sciences Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Physics

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Journal : Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian

 1 
ESTIMASI TINGKAT KERAWANAN DEMAM BERDARAH DENGUE BERBASIS INFORMASI GEOSPASIAL Wijaya, Arwan Putra; Sukmono, Abdi
Jurnal Geografi Vol 14, No 1 (2017): January 2017
Publisher : Jurnal Geografi

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

Abstract

Dengue fever is a type of infectious diseases, which often lead to extraordinary events in Indonesia. Kendal is one area which every year has increased the spread of Dengue quite rapidly. The increase in the spread of Dengue in Kendal is largely determined by the decisions taken by the relevant agencies, especially the Department of Health. Prediction incidence of Dengue Fever in Kendal, is still processed manually by the presentation is still limited in the form of tables and graphs, while the presentation in the form of a map has not been done. Rapid changes in land use from agricultural areas into non agricultural areas became one of the causes of the rapid changes in the data.One technology that can provide information on land use and settlement patterns are analyzed with remote sensing. Data from remote sensing, and then combined with several other parameters, such as population density (X1), height of the sea surface (X2),  Distance settlement with nearby river (X3) and Distance pemukiaman to the nearest health center (X4) with spatial analysis Geographic Information System (GIS) will be obtained quickly forecast the vulnerability of Dengue Fever.The result showed that the the vulnerability of Dengue fever based spatial analysis Geographic Information System (GIS) scoring method in Kendal in 2015 is divided into three (3) classes, ie areas with low vulnerability level (51297.96 ha / 51, 08%), areas with middle vulnerability level (45176.44 ha / 44, 38%), and areas with high vulnerability level (3947.534 ha / 3, 93 %).
PEMANTAUAN SEDIMENTASI TOTAL SUSPENDED SOLID (TSS) DI WADUK KEDUNGOMBO PERIODE 2014-2018 BERBASIS CITRA LANDSAT 8 Sukmono, Abdi; Rajagukguk, Trevi Austin; Subiyanto, Sawitri; Bashit, Nurhadi
Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian Vol 15, No 2 (2018): July 2018
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jg.v15i2.15457

Abstract

Sedimentation is a problem that often occurs in reservoirs in Indonesia. One reservoir that has the potential to be affected by sedimentation is the Kedungombo Reservoir. The water volume of the Kedungombo dam is estimated to shrink 40% of the planned water volume due to the sedimentation problem. The condition of the reservoir water needs to be monitored periodically to determine the development of sedimentation in the reservoir area. The large reservoir area of 6,000 ha requires considerable energy and cost if monitoring is done conventionally. Remote sensing technology with Landsat-8 satellite imagery can be used as an alternative technology that is more efficient in reservoir sedimentation monitoring. Reservoir sedimentation monitoring can be observed from the development of the value of total suspended solid (TSS).. The results of multitemporal TSS processing for the period 2014-2018 showed that the quality of the Kedongombo Reservoir TSS generally began to improve despite high sedimentation in some areas. The class of heavily polluted / sedimentated TSS decreased from 380, 97 Ha in 2014 to 353.61 Ha in 2014 and continued to improve to an area of 120.96 Ha in 2018. But at the estuary of Laban Sub-watershed and Ivory Sub-watershed TSS remained has a high concentration.
ESTIMASI TINGKAT KERAWANAN DEMAM BERDARAH DENGUE BERBASIS INFORMASI GEOSPASIAL Wijaya, Arwan Putra; Sukmono, Abdi
Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian Vol 14, No 1 (2017): January 2017
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jg.v14i1.9776

Abstract

Dengue fever is a type of infectious diseases, which often lead to extraordinary events in Indonesia. Kendal is one area which every year has increased the spread of Dengue quite rapidly. The increase in the spread of Dengue in Kendal is largely determined by the decisions taken by the relevant agencies, especially the Department of Health. Prediction incidence of Dengue Fever in Kendal, is still processed manually by the presentation is still limited in the form of tables and graphs, while the presentation in the form of a map has not been done. Rapid changes in land use from agricultural areas into non agricultural areas became one of the causes of the rapid changes in the data.One technology that can provide information on land use and settlement patterns are analyzed with remote sensing. Data from remote sensing, and then combined with several other parameters, such as population density (X1), height of the sea surface (X2),  Distance settlement with nearby river (X3) and Distance pemukiaman to the nearest health center (X4) with spatial analysis Geographic Information System (GIS) will be obtained quickly forecast the vulnerability of Dengue Fever.The result showed that the the vulnerability of Dengue fever based spatial analysis Geographic Information System (GIS) scoring method in Kendal in 2015 is divided into three (3) classes, ie areas with low vulnerability level (51297.96 ha / 51, 08%), areas with middle vulnerability level (45176.44 ha / 44, 38%), and areas with high vulnerability level (3947.534 ha / 3, 93 %).
PEMANFAATAN TEKNOLOGI PENGINDERAAN JAUH UNTUK DETEKSI KEKERINGAN PERTANIAN MENGGUNAKAN METODE NORMALIZED DIFFERENCE DROUGHT INDEX DI KABUPATEN KENDAL Sukmono, Abdi; Rahman, Fadli; Yuwono, Bambang Darmo
Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian Vol 14, No 2 (2017): July 2017
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jg.v14i2.11521

Abstract

Drought of agricultural land is one of the most frequent disasters in Indonesia. This disaster greatly affects food security. Kendal Regency is one of the areas in Indonesia that often experience drought of agricultural land. In the year 2015 in Kendal regency there are 1055 Ha paddy field was crop failure. The threat of drought on agricultural land can be minimized if the monitoring of drought potential in a region can be known.One way that can be used for spatial drought monitoring is to use applications from remote sensing based on a particular algorithm. In the research, Normalized Difference Drought Index (NDDI) algorithm is used to distribution and extent of agricultural drought in Kendal District by 2015 using Landsat 8 satellite imagery. NDDI is the ratio between Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI).The results indicate agricultural drought using NDDI method in July 2015 with normal drought area 6980,362 ha, mild drought 13364,155 ha, moderate drought 682,847 ha and dry drought 281,81 ha. Validation results show the accuracy of the NDDI method is 82%. 
PEMANTAUAN SEDIMENTASI TOTAL SUSPENDED SOLID (TSS) DI WADUK KEDUNGOMBO PERIODE 2014-2018 BERBASIS CITRA LANDSAT 8 Abdi Sukmono; Trevi Austin Rajagukguk; Sawitri Subiyanto; Nurhadi Bashit
Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian Vol 15, No 2 (2018)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jg.v15i2.15457

Abstract

Sedimentation is a problem that often occurs in reservoirs in Indonesia. One reservoir that has the potential to be affected by sedimentation is the Kedungombo Reservoir. The water volume of the Kedungombo dam is estimated to shrink 40% of the planned water volume due to the sedimentation problem. The condition of the reservoir water needs to be monitored periodically to determine the development of sedimentation in the reservoir area. The large reservoir area of 6,000 ha requires considerable energy and cost if monitoring is done conventionally. Remote sensing technology with Landsat-8 satellite imagery can be used as an alternative technology that is more efficient in reservoir sedimentation monitoring. Reservoir sedimentation monitoring can be observed from the development of the value of total suspended solid (TSS).. The results of multitemporal TSS processing for the period 2014-2018 showed that the quality of the Kedongombo Reservoir TSS generally began to improve despite high sedimentation in some areas. The class of heavily polluted / sedimentated TSS decreased from 380, 97 Ha in 2014 to 353.61 Ha in 2014 and continued to improve to an area of 120.96 Ha in 2018. But at the estuary of Laban Sub-watershed and Ivory Sub-watershed TSS remained has a high concentration.
PEMANFAATAN TEKNOLOGI PENGINDERAAN JAUH UNTUK DETEKSI KEKERINGAN PERTANIAN MENGGUNAKAN METODE NORMALIZED DIFFERENCE DROUGHT INDEX DI KABUPATEN KENDAL Abdi Sukmono; Fadli Rahman; Bambang Darmo Yuwono
Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian Vol 14, No 2 (2017)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jg.v14i2.11521

Abstract

Drought of agricultural land is one of the most frequent disasters in Indonesia. This disaster greatly affects food security. Kendal Regency is one of the areas in Indonesia that often experience drought of agricultural land. In the year 2015 in Kendal regency there are 1055 Ha paddy field was crop failure. The threat of drought on agricultural land can be minimized if the monitoring of drought potential in a region can be known.One way that can be used for spatial drought monitoring is to use applications from remote sensing based on a particular algorithm. In the research, Normalized Difference Drought Index (NDDI) algorithm is used to distribution and extent of agricultural drought in Kendal District by 2015 using Landsat 8 satellite imagery. NDDI is the ratio between Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI).The results indicate agricultural drought using NDDI method in July 2015 with normal drought area 6980,362 ha, mild drought 13364,155 ha, moderate drought 682,847 ha and dry drought 281,81 ha. Validation results show the accuracy of the NDDI method is 82%. 
Co-Authors Aditya Hafidh Baktiar Aji, Sentanu Alfian Galih Utama, Alfian Galih Alfreud, Carl Dylan Andri Suprayogi Anggi Karismawati Ardiansyah Ardiansyah Ardyan Satria Pratama Ardyan Satria Putra Pratama Arfina Kusuma Putra Arief Laila Nugraha Ariella Arima Aniendra Arsyad Nur Ariwahid Arwan Putra Wijaya Aryatama, Muhammad Ghani Avi Yudhanto Aziz Anjar Santoso Bambang Darmo Yuwono Bambang Darmo Yuwono Bambang Sudarsono Bandi Sasmito Bashit, Nurhadi Bashit, Nurhadi Baskoro Agum Gumelar BASKORO AGUM GUMELAR Bella Riskyta Arinda Benning Hafidah Kadina Besar Tirto Husodo Cartenz Noviantri Handayani Chandra Satria Ajie Wicaksono Dedigun Bintang Fajeri Demi Stevany Dewi Previansari Dewinta Heriza Dhuha Ginanjar Bayuaji DIKA NUZUL RACHMAWATI Dini Ramanda Putri Dini Tiara Dita Rizki Amliana Dyah Wijaningsih Ertha Silalahi Fadli Rahman Fadli Rahman, Fadli Fajriah Lita Pamungkasari Faradina Sekar Melati Farhan Ardianzaf Putra Farouki Dinda Rassarandi Farras Nabilah Fatimah Putri Utami Fauzi Janu Amarrohman, Fauzi Janu Firman Hadi Fitra S Pandia Franstein Kevin J.B Gabriel Yedaya Immanuel Ryadi Galuh Puteri Saraswati Ghinaa Rahda Kurnila Gilang Diva Pradana Grivina Yuliantika Hadi, Firman Hana Sugiastu Firdaus Hana Sugiastu Firdaus Hana Sugiastu Firdaus Hana Sugiastu Firdaus, Hana Sugiastu Haniah Haniah IFAN ADI PRATAMA Ikhtifari, Muh. Nurshauma Ilmawan Muhammad Hida Indah Prasasti Innong Pratikina Akbaruddin Jamilah, Mutiara Jiyah Jiyah Jolangga Agung Budiman Kalinda, Icha Oktaviana Putri Kurnia Wisnu Aziz Kusuma, Hafiizh Mega Laode M Sabri Lia Novianti Ni’amah Lilik Kristianingsih Lingga Hascarya Prabandaru LM Sabri LM Sabri LM Sabri Maharani, Hanindya Zahra MIRTA INDRIASTUTI Moehammad Awaluddin Muhammad Adnan Yusuf, Muhammad Adnan Muhammad Fathan Muhammad Ibnu Munadi Nainggolan, Yohana Christie Nandia Meitayusni Nabila Naufal Farras Naufal Ilyas Abdul Hakim Nella Wakhidatus Nida Shabrina Nilasari, Monica Novitasari Novitasari Nugra Putra Pembayun Nur Itsnaini Nurfika Maulina Larasati Nurhadi Bashit Nurhadi Bashit Nurhandini Maghda Maghda Prajamandana, Andyan Putra Prambudhianto Putro Pamungkas Putra, Ikhlas Ika Putri, Novita Qoaruddin Qomaruddin Rajagukguk, Trevi Austin RAJAGUKGUK, TREVY AUSTIN Rampu, Jelly Resky Kelana Ridwan Aminullah Rihadatul Aisy Risqi Fadly Robby Rista Omega Septiofani Riyadi, Elnatan Vieno s Subiyanto Salma, Channana Nadiya Sawitri Subiyanto Sendi Akhmad Al Mukmin Septiyana, Diah Setyo Adhi Nugroho SILALAHI, ERTHA Sinabutar, Julio Jeremia Sindy Pariamanda Siska Wahyu Andini Siti Rahayuningsih Sondang Artania Sidauruk Supriadi Sanjaya Purba Suwirdah Pebriyanah Tisnasuci, Ilya Dewanti Trevi Austin Rajagukguk Trevy Austin Rajagukguk TREVY AUSTIN RAJAGUKGUK Tristianti, Nova Veri Pramesto Vidya Velisa Taufik Wakhidatus, Nella Welman Manuel Sitorus Widayanti, Eko Yudo Prasetyo Yudo Prasetyo