Garuda - Garba Rujukan Digital

Rina Wahyuni

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Author-ID : 411344

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Integration of Digital Public Services Mall Application with a Citizen Centric Government Services Approach Rina Wahyuni
Knowbase : International Journal of Knowledge in Database Vol. 4 No. 1 (2024): June 2024
Publisher : Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/knowbase.v4i1.8368

The integration of government services represents a practical solution in the context of the numerous applications developed by both Central and Regional Governments, particularly those used to access public service applications. The Digital Public Service Mall application can be leveraged by Regional Governments through data integration, enhanced with Single Sign-On (SSO) capabilities. This will facilitate collaboration between Regional Apparatus Organizations (OPD), enabling them to work together as technical managers of public services. Consequently, this will simplify public access to these services, eliminating the need for repeated data entry processes. Additionally, this system can be developed using facial recognition (FR) technology, which can be integrated with the Digital Population Identity (IKD). The concept of Citizen-Centric Government Services has been widely adopted by governments in various countries to bring government services closer to their citizens. This research focuses on analyzing the integration of data and public service applications, specifically the Digital Public Service Mall (MPP) application in West Java Province. The data analysis technique employed is descriptive-analytical with a qualitative approach. The Citizen-Centric Government Services framework assists in analyzing the extent of data and application integration implementation in a government service. This framework outlines the dimensions within it based on achievement indicators aligned with expectations. Data collection includes semi-structured interviews, participatory observations, and documentation. Based on the analysis results using the dimensional approach within the Citizen-Centric Government Services Framework, it is evident that the Digital MPP application of West Java Province is optimally utilized by the Regency/City Governments and the people of West Java Province. The analysis using the Citizen-Centric Government Services Framework approach reveals that several achievement indicators within each dimension can be met through effective collaboration between the government and the community.

Integration of Digital Public Services Mall Application with a Citizen Centric Government Services Approach Rina Wahyuni
Knowbase : International Journal of Knowledge in Database Vol. 4 No. 1 (2024): June 2024
Publisher : Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/knowbase.v4i1.8368

The integration of government services represents a practical solution in the context of the numerous applications developed by both Central and Regional Governments, particularly those used to access public service applications. The Digital Public Service Mall application can be leveraged by Regional Governments through data integration, enhanced with Single Sign-On (SSO) capabilities. This will facilitate collaboration between Regional Apparatus Organizations (OPD), enabling them to work together as technical managers of public services. Consequently, this will simplify public access to these services, eliminating the need for repeated data entry processes. Additionally, this system can be developed using facial recognition (FR) technology, which can be integrated with the Digital Population Identity (IKD). The concept of Citizen-Centric Government Services has been widely adopted by governments in various countries to bring government services closer to their citizens. This research focuses on analyzing the integration of data and public service applications, specifically the Digital Public Service Mall (MPP) application in West Java Province. The data analysis technique employed is descriptive-analytical with a qualitative approach. The Citizen-Centric Government Services framework assists in analyzing the extent of data and application integration implementation in a government service. This framework outlines the dimensions within it based on achievement indicators aligned with expectations. Data collection includes semi-structured interviews, participatory observations, and documentation. Based on the analysis results using the dimensional approach within the Citizen-Centric Government Services Framework, it is evident that the Digital MPP application of West Java Province is optimally utilized by the Regency/City Governments and the people of West Java Province. The analysis using the Citizen-Centric Government Services Framework approach reveals that several achievement indicators within each dimension can be met through effective collaboration between the government and the community.

Artificial Neural Network Prediction Model for Agricultural Commodity Production Using Backpropagation Algorithm Wahyuni, Rina; Sakti Wira Adi Utomo; TB. Muhammad Endra Zhafir Al Ghifari
Knowbase : International Journal of Knowledge in Database Vol. 5 No. 1 (2025): June 2025
Publisher : Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/knowbase.v5i1.9530

The development of Artificial Intelligence (AI) technology has been widely used by the Government and Society to support daily activities, including supporting the decision-making process. In Indonesia's agricultural sector, innovations are currently being implemented using Machine Learning methods, especially Artificial Neural Networks, to estimate the yield of an agricultural commodity. This technology is very relevant to be applied in the agricultural sector, especially since the majority of Indonesians are farmers. With prediction of production and prices, the Government can estimate the amount of production and immediately set a strategy to keep prices stable. The use of predictive data on agricultural production results is very important in maintaining food availability and preventing price fluctuations that affect society. This study uses data on chili commodities, employing a qualitative method with the Backpropagation Algorithm of Artificial Neural Networks. The objective is to generate projections of the Artificial Neural Network (ANN) model using the Altair AI Studio with minimal error so that better prediction values and performances are produced. Based on the results obtained, the best network architecture is the 12-25-1 model for large chili production, and 12-15-1 for bird’s eye chili pepper. This model is proven to be able to help production planning, supply distribution arrangements, and maintain price and supply stability by related agencies.

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