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All Journal Applied Information System and Management Scientific Journal of Informatics
Nurchaerani Kadir
Universitas Islam Negeri Maulana Malik Ibrahim Malang
Computer Science & IT Languange, Linguistic, Communication & Media

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IMPLEMENTASI E-GOVERNMENT DALAM MENINGKATKAN PELAYANAN DESA (DESA SUMBERSUKO KABUPATEN MALANG) Nurchaerani Kadir; Nuzulul Huda; Eka Cahya Ningrum; Nanda Nafisah Puspiitasari
Jurnal Ilmiah Informatika Vol. 5 No. 1 (2020): Jurnal Ilmiah Informatika
Publisher : Department of Science and Technology Ibrahimy University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/jimi.v5i1.551

Abstract

The e-government system is one of the fundamental policies that can change the quality of public services from conventional to modern. The development of e-government is an effort to improve the quality of effective and efficient public services. E-government can be utilized to provide public services from the government to the public. The object of this research is Sumbersuko Village, located in Malang Regency, with the goal of being approved by e-government and then optimizing its use for government assistance in service and requests for public information. The e-government system is built on the Laravel framework, a website based on a MySQL database. With this e-Government, it is expected to be able to improve the quality of effective and efficient public services.
Analysis of the Impact of Meteorological Factors on Predicting Air Quality in South Tangerang City using Random Forest Method Nurchaerani Kadir; M. Faisal; Fachrul Kurniawan
Applied Information System and Management (AISM) Vol. 7 No. 2 (2024): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v7i2.38466

Abstract

Air pollution has become one of the most significant environmental problems in many cities throughout the world, which can endanger public health and the environment. Understanding the impact of meteorological conditions on air quality is very important to understanding air pollution patterns. This study investigates the influence of meteorological variables on air quality predictions in South Tangerang City, Indonesia, using the Random Forest method. Modeling is carried out by building two scenarios, namely predictions using meteorological variables and predictions without meteorological variables. Prediction performance analysis is measured using MAE, MSE, RMSE, R-square, and accuracy. The accuracy results of the research show that predictions without meteorological variables provide good prediction results with a value of 86.42%, but predictions with meteorological variables have better performance with a value reaching 98.99%. The largest error values from each model were 2.58 MAE, 71.82 MSE, and 8.4747 RMSE obtained in prediction modeling without meteorological variables, while the smallest error values were obtained in prediction modeling using meteorological variables, namely 0.00, 0.01, and 0.0219, respectively, for MAE, MSE, and RMSE. This research contributes to a better understanding of the relationship between meteorology and air pollution and air quality in urban areas and helps develop targeted mitigation strategies to improve air quality and public health, especially in South Tangerang City and the surrounding area.
Co-Authors Eka Cahya Ningrum Fachrul Kurniawan M. Faisal Nanda Nafisah Puspiitasari Nuzulul Huda