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All Journal Indonesian Journal of Geography JOURNAL ONLINE OF PHYSICS Jurnal Sisfokom (Sistem Informasi dan Komputer) Prosiding University Research Colloquium Indonesian Journal of Environment and Disaster
Koesuma, Sorja
Department of Physics, Sebelas Maret University
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Environmental Science Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Physics

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Groundwater Vulnerability Comparison Using DRASTIC and GOD Methods in Surakarta City Koesuma, Sorja; Ramelan, Ari Handono; Sutarno, Doddy
Indonesian Journal of Geography Vol 56, No 1 (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.87232

Abstract

Demographic growth, urbanization, economic development, agriculture, and consumption per capita have increased the demand for water resources. The population density of Surakarta affects the city’s ability to fulfil its residents’ clean water requirements. As an urban region, Surakarta may be impacted by development activities that degrade the quality and quantity of groundwater. This growing demand should be balanced against effective management of water source regions. This research aims to investigate groundwater vulnerability in Surakarta City. We employed the DRASTIC and GOD methods and compared both results. These methods used the overlay and indexing approaches using GIS based on field data and secondary data such as drill, rainfall, and topographic data. The results of DRASTIC show three types of vulnerability: high (0.21%; 9.87 ha), moderate (94.22%; 4,355.98 ha), and low (5.56%; 257.25 ha), while GOD method results in high (7.03%; 324.96 ha), moderate (52.90%; 2,445.84 ha), low (38.69%; 1,788.81 ha), and negligible (1.37%; 63.49 ha). Based on both methods, we identified Banjarsari district as a location with high groundwater vulnerability. The correlation coefficient between the two methods is 0.511. This value shows that the correlation criteria are acceptable and comparable. This research can be used by local authorities and policymakers to manage groundwater resources. 
The Study of a Contextual Model of People-Centered Inclusive Humanitarian Action: Case Study in Cianjur, West Java and Sigi, Central Sulawesi, Indonesia Koesuma, Sorja; Pelupessy, Dicky C; Mariany, Aria; Paripurno, Eko Teguh; Silvanto, Tri; Purnama, Anton Roy
Indonesian Journal of Environment and Disaster Vol. 3 No. 2 (2024): Indonesian Journal of Environment and Disasters
Publisher : Disaster Research Center, Universitas Sebelas Maret, Surakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/7wzjd153

Abstract

Indonesia needs progressive changes that are adapted to the global disaster management framework as well as a reflection of humanitarian practices to build humanitarian action that is inclusive, accountable, and people-centered. People-Centered Inclusive Humanitarian Action (PCIHA) aims to establish a disaster management model that is inclusive of persons with disabilities and follows the regional context in Indonesia. The PCIHA implementation model is adopted from the Guidelines on Inclusion of Persons with Disabilities in Humanitarian Action. It has four mandatory components used as principles in its implementation: 1) Performing data aggregation, 2) eliminating inhibiting factors, 3) promoting participation, and 4) empowering persons with disabilities. These four components are one unit that is intertwined and cannot be separated. The model implementation is carried out using a data aggregation approach as the initial entry point for implementing the other three pillars. The results obtained are differences between the data obtained and data from the Village Government. This can affect many things, especially in decision-making related to risk reduction and disaster management policies. The involvement of local organizations of persons with disabilities is needed to realize inclusiveness, which is carried out by understanding how local communities, including persons with disabilities, can be actively involved in humanitarian response when facing disasters.
BAHAYA GEMPA BUMI BERDASARKAN KONDISI GEOLOGI LOKAL DALAM UPAYA MITIGASI BENCANA DI KAPANEWON PLERET, KABUPATEN BANTUL Triyono, Agus; Paripurno, Eko Teguh; Nugroho, Arif Rianto; Koesuma, Sorja; Maharani, Yohana Noradika
JOURNAL ONLINE OF PHYSICS Vol. 10 No. 3 (2025): JOP (Journal Online of Physics) Vol 10 No 3
Publisher : Prodi Fisika FST UNJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jop.v10i3.44703

Abstract

Kapanewon Pleret merupakan salah satu wilayah dengan tingkat kerusakan tertinggi saat gempa bumi Bantul 27 Mei 2006. Namun hingga saat ini, belum terdapat kajian yang secara khusus memetakan karakteristik geologi lokal dan kerentanan seismik di wilayah ini. Penelitian ini bertujuan untuk mengevaluasi potensi bahaya gempa bumi di Kapanewon Pleret, Kabupaten Bantul, berdasarkan karakteristik geologi lokal yang diperoleh melalui metode Horizontal to Vertical Spectral Ratio (HVSR). Data mikrotremor dari 70 titik diolah untuk memperoleh parameter frekuensi dominan (fₒ), faktor amplifikasi (Aₒ), indeks kerentanan seismik (Kg), percepatan tanah maksimum (PGA), dan Ground Shear Strain (GSS). Hasil penelitian menunjukkan bahwa nilai fₒ berkisar antara 0,62–12,17 Hz, Aₒ antara 0,89–6,41, dan Kg dalam rentang 0,18–26,02. Nilai PGA berada pada kisaran 0,08 hingga >0,79 g, sementara GSS tercatat antara 1,06 × 10⁻⁴ hingga 1,42 × 10⁻². Zona dengan nilai fₒ rendah, Aₒ tinggi, serta Kg dan GSS tinggi banyak ditemukan pada wilayah yang tersusun atas endapan Merapi muda, yang menunjukkan tingkat kerentanan seismik yang signifikan. Temuan ini menegaskan pentingnya karakterisasi geologi lokal sebagai dasar perencanaan mitigasi bencana gempa bumi.
IMPACT OF SOLAR RADIATION MODIFICATION ON TEMPERATURE CHANGES FROM SINABUNG ERUPTION IN KARO REGENCY Koesuma, Sorja; Sakhina, Friska Ayu; Gernowo, Rahmat
JOURNAL ONLINE OF PHYSICS Vol. 11 No. 1 (2025): JOP (Journal Online of Physics) Vol 11 No 1
Publisher : Prodi Fisika FST UNJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jop.v11i1.47783

Abstract

This study combines reanalysis of observational data and climate modelling to examine temperature changes due to the eruption of Mount Sinabung and future temperature projections. Observation data were taken from ERA5 to identify local temperature changes following the Sinabung eruption in February 2018, while simulations from the Geoengineering Model Intercomparison Project (GeoMIP) were used to observe temperature responses under the Solar Radiation Modification (SRM) scenario. Temperature projections were conducted for the period 2026 – 2099 using the CESM-WACCM, CNRM-ESM2-1, and MPI-ESM1-2-LR models under the G6Solar, G6Sulfur, SSP2-4.5, and SSP5-8.5 scenarios. The results show that GeoMIP temperatures are lower than ERA5 after bias correction. SRM was found to effectively decrease temperature at the summit of Sinabung and Karo Regency, approaching low emission scenarios (SSP2-4.5), with increases of 1,90℃ and 1,05℃ under G6Solar, and 1,02℃ and 0,96℃ under G6Sulfur. Conversely, in the high emission scenarios (SSP5-8.5), temperatures increased to 2,13℃ and 2,1℃.
Pembuatan Tempat Cuci Tangan Sistem Injak Sebagai Upaya Pencegahan Covid-19 Di Desa Kalikajar Koesuma, Sorja; Nabila, Dhia Azmi; Abdullah, Azar Rafliardi; Krismonanto, Wisnu; Arifin, Imam; Nursodik, Fajar; Pratiwi, Rizki Amalia; Susanto, Andika Dwi Cipta; Ananta, Aria Arga; Salfas, Muhammad
Prosiding University Research Colloquium Proceeding of The 13th University Research Colloquium 2021: Mahasiswa (Student Paper)
Publisher : Konsorsium Lembaga Penelitian dan Pengabdian kepada Masyarakat Perguruan Tinggi Muhammadiyah 'Aisyiyah (PTMA) Koordinator Wilayah Jawa Tengah - DIY

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

Abstract

The Covid-19 pandemic has caught the world's attention which hascaused various impacts on life. The spread of the virus takes placerapidly through droplets or physical contact to encouragegovernments to implement policies such as washing hands activitiesusing soap cleanly and correctly. Kalikajar village government asone of the villages that are exposed Covid-19 in Purbalingga alsohave appealed to the people to always washing hands with soap.However, the availability of hand washing facilities is still limitedand the conditions are alarming due to the lack of communitymaintenance. Therefore, as a form of community service, KuliahKerja Nyata (KKN) of Sebelas Maret University has initiative tocreate washbasin based on stepping system that can be used bypeople to get clean and healthy living. The service implementationstages include survey and identification of partner problems,preparation of problem solving frameworks, problem solving solutionprograms, implementation of service programs, monitoring andevaluation. Manufacture of washbasin through the manufacturingprocess and framework design, painting, assembly, and testing. Thewashbasin is distributed in several locations in Kalikajar Village,such as the Kalikajar Village Hall Office, Baitul Ghufron Mosque,and Baitul Muslimin Mosque. The distribution activites to severallocations had help from local residents, takmir mosques, and villageheads Kalikajar. Through this washbasin, the UNS KKN Team hopesthat the community and village government officials can develop andremind each other of the habit of washing hands so that it indirectlyhelps the government in preventing Covid-19 transmission in thesurrounding community.
IDENTIFIKASI ZONA BAHAYA GEMPA BUMI BERDASARKAN PERCEPATAN TANAH MAKSIMUM DI KOTA SEMARANG Koesuma, Sorja; Fajrin, Viola; Sunardi, Bambang
Indonesian Journal of Environment and Disaster Vol. 1 No. 2 (2022): Indonesian Journal of Environment and Disaster
Publisher : Disaster Research Center, Universitas Sebelas Maret, Surakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijed.v1i2.428

Abstract

Semarang City as the Capital of Central Java Province requires an earthquake-prone map. It is required since there are two active faults in Semarang, namely the Semarang fault (part of the Baribis - Kendeng fault) and the Ungaran fault. Moreover, Semarang City is composed of alluvial layers that can accelerate earthquake waves. This study aims to determine site class, peak ground acceleration (PGA) in bedrock, PGA at ground level and earthquake hazard index in Semarang City. In this study, the calculation of peak ground acceleration uses the method in SNI 1726: 2019, while the earthquake hazard index refers to the JICA classification. As input data in the form of the peak ground acceleration value in bedrock, the average shear wave velocity to a depth of 30 meters (Vs30) to determine the site class, as well as the value of the amplification factor. The calculation results in almost all areas of Semarang City have a high earthquake hazard index and only Genuk sub-district has a moderate hazard index. The main determinants of peak ground acceleration at the surface are the source of the earthquake and the rock type
Decision Prioritization with MCDM in Post-Disaster Management: A PRISMA-Guided Systematic Review and Bibliometric Mapping Pinem, Agusta Praba Ristadi; Gernowo, Rahmat; Koesuma, Sorja
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 15 No. 01 (2026): JANUARY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v15i01.2528

Abstract

Prioritizing post-disaster actions requires balancing multiple, often conflicting criteria. To consolidate scattered evidence, this study reviews decision prioritization using Multi-Criteria Decision-Making (MCDM) in post-disaster management through a PRISMA-guided systematic review and bibliometric mapping. Initial searches yielded 18,454 records from Scopus, 47,206 from Google Scholar, 650 from Emerald Insight, 30,975 from ProQuest, and 4,468 from IEEE Xplore. We included English-language articles published between 2014 and 2025 that apply MCDM to prioritizing projects, interventions, or sites. This timeframe was chosen to capture the rise of hybrid and fuzzy variants, as well as early integrations with GIS, AI, and big data. We excluded non-English items, duplicates, and incomplete records, following PRISMA guidelines for screening and eligibility. We combined SLR procedures with bibliometric analysis using VOSviewer and R-bibliometrix to map keyword co-occurrence. From the initial pool, 32 studies met the final criteria. The results show that distance-based methods (TOPSIS, VIKOR, EDAS) and AHP dominate the field, while hybrid and fuzzy variants are increasingly utilized. Objective and mixed weighting methods are common, whereas normalization choices and ranking rules vary by context. Validation practices remain inconsistent; while case applications and expert judgment are frequently used, sensitivity tests and cross-method comparisons are scarce. This study synthesizes objectives, weighting, normalization, ranking, and validation to identify method–context fit and highlight reporting gaps. We provide method-selection guidelines and a reporting checklist for practitioners, alongside a roadmap for researchers focusing on standardized validation, transparent parameterization, and integration with GIS, AI, and big data.
Machine Learning for Post-Disaster Building Damage Classification and Rehabilitation Recommendation: A Review Rahmawati, Eka; Edi Widodo, Catur; Koesuma, Sorja
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 15 No. 01 (2026): JANUARY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v15i01.2532

Abstract

Accurate classification of building damage following disasters plays a critical role in facilitating efficient rehabilitation and reconstruction. Traditional field-based assessment methods, however, present significant limitations—including time inefficiencies, susceptibility to subjective interpretation, and potential safety risks for survey personnel. Recent advancements in machine learning (ML) have significantly improved the efficiency and objectivity of post-disaster damage assessment by leveraging diverse data sources such as satellite imagery, unmanned aerial vehicles (UAVs), and even crowdsourced social media content. This study conducts a narrative literature review of 78 peer-reviewed articles published from 2020 to 2024, focusing on ML-driven methodologies for classifying building damage and generating rehabilitation recommendations. The literature review reveals a prevailing reliance on deep learning models—especially convolutional neural networks (CNNs) and transformer-based architectures—due to their robust accuracy and adaptability across varied disaster scenarios. Furthermore, novel approaches like self-supervised learning, ensemble methods, and few-shot learning show promising potential in addressing challenges posed by sparse or unevenly distributed datasets. Despite rapid advancements in ML-based post-disaster building damage classification, real-world implementation remains constrained. This review synthesizes current trends, persistent challenges, and critical research gaps to inform the development of a robust ML framework for post-disaster recovery efforts. This study uniquely highlights the integration of ML-based classification with rehabilitation planning frameworks, providing practical guidance for disaster management agencies to optimize post-disaster recovery strategies.
Co-Authors Abdullah, Azar Rafliardi Agus Triyono Ananta, Aria Arga Ari Handono Ramelan Bambang Sunardi, Bambang Budi Legowo Catur Edi Widodo Darsono Darsono Doddy Sutarno eka rahmawati Eko Teguh Paripurno Fajrin, Viola Harjana Harjana Imam Arifin Iwan Yahya Krismonanto, Wisnu Mariany, Aria Nabila, Dhia Azmi Nugroho, Arif Rianto Nursodik, Fajar Pinem, Agusta Praba Ristadi Pratiwi, Rizki Amalia Purnama, Anton Roy Rahmat Gernowo Sakhina, Friska Ayu Salfas, Muhammad Silvanto, Tri Susanto, Andika Dwi Cipta Syahrizal, Fadli Yohana Noradika Maharani