Haris, Ruby
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Prediksi Banjir Di Dki Jakarta Dengan Menggunakan Algoritma K-Means Dan Random Forest Haris, Ruby; Haryo, Wasis; Wahyu Pujiharto, Eka; Yuza, Adela; Kusrini, Kusrini; Kusnawi, Kusnawi
Jurnal Informatika dan Teknologi Komputer (J-ICOM) Vol 5 No 1 (2024): Jurnal Informatika dan Teknologi Komputer ( JICOM)
Publisher : Universitas Samudra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55377/j-icom.v5i1.8153

Abstract

This research aims to develop a flood prediction method that can be used to implement effective prevention and mitigation measures in dealing with frequent natural disasters in DKI Jakarta. The approach used in this study involves the utilization of Machine Learning techniques with a combination of K-Means and Random Forest algorithms. Historical data on water gates, water levels, and other relevant factors are used as inputs for the development of the flood prediction model. The K-Means method is employed to cluster the water level data, and the results of the K-Means clustering process are then used as parameters in the Random Forest method. A total of 20 experiments were conducted, varying the value of k from 1 to 20 in the K-Means algorithm. The experimental results show that the best accuracy and f-1 score were achieved at k=14, with an accuracy rate of 95% and an f-1 score of 90%. This indicates that the developed flood prediction model is capable of providing accurate and reliable predictions in identifying flood potential. This research holds significant implications for flood management in vulnerable cities. With an effective flood prediction method, prevention and mitigation measures can be implemented more efficiently, thereby reducing the negative impacts caused by floods.
Prioritas Investasi Keamanan Informasi Menggunakan Analytic Network Process (ANP) Bagi Pemerintah Daerah Provinsi Kalimantan Tengah Haris, Ruby; Muhammad, Alva Hendi; Nasiri, Asro
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 11 No 6: Desember 2024
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2024119245

Abstract

Keamanan informasi menjadi fokus utama bagi Pemerintah Daerah Provinsi Kalimantan Tengah, terutama dalam menghadapi ancaman siber yang semakin kompleks. Walaupun telah ada inisiatif dari Pemerintah Pusat seperti Indeks Keamanan Informasi (KAMI) yang diperkenalkan oleh Badan Siber dan Sandi Negara (BSSN), implementasi di tingkat daerah masih dihadapkan dengan berbagai tantangan. Kendala utama yang dihadapi adalah terbatasnya anggaran, kekurangan sumber daya manusia yang berkualitas, serta rendahnya kesadaran tentang pentingnya keamanan informasi. Penelitian ini menghipotesiskan bahwa dengan penerapan metode Analytic Network Process (ANP), Pemerintah Daerah dapat lebih efektif menentukan prioritas dalam investasi keamanan informasi, sehingga risiko ancaman siber dapat diminimalkan secara signifikan. Solusi yang diusulkan adalah penggunaan metode ANP untuk menangani hubungan antar kriteria yang saling terkait dan memberikan panduan prioritas yang komprehensif antara aspek teknologi, sumber daya manusia, dan kebijakan. Survei dilakukan terhadap pengambil keputusan dan pengelola teknis terkait keamanan informasi. Hasil penelitian menunjukkan bahwa pengambil keputusan lebih memprioritaskan kerangka kerja manajemen keamanan informasi, sementara pengelola teknis lebih fokus pada aspek teknologi. Penelitian ini diharapkan dapat membantu Pemerintah Daerah dalam merumuskan strategi investasi yang lebih efektif untuk meningkatkan keamanan informasi dan melindungi data sensitif di wilayah Pemerintah Provinsi Kalimantan Tengah.   Abstract Information security has become a primary focus for the Regional Government of Central Kalimantan Province, especially in facing increasingly complex cyber threats. Although there have been initiatives from the Central Government, such as the Information Security Index (KAMI) introduced by the National Cyber and Crypto Agency (BSSN), implementation at the regional level still faces various challenges. The main obstacles encountered are limited budgets, a shortage of qualified human resources, and a lack of awareness about the importance of information security. This study hypothesizes that by applying the Analytic Network Process (ANP) method, the Regional Government can more effectively prioritize investments in information security, thereby significantly minimizing cyber threat risks. The proposed solution is to use the ANP method to manage interrelated criteria and provide a comprehensive priority guide between technological, human resource, and policy aspects. Surveys were conducted with decision-makers and technical managers related to information security. The results of the study show that decision-makers prioritize the information security management framework, while technical managers focus more on technological aspects. This research is expected to assist the Regional Government in formulating more effective investment strategies to improve information security and protect sensitive data within the Central Kalimantan Provincial Government's jurisdiction.