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All Journal IJID (International Journal on Informatics for Development) Jurnal Sistem informasi dan informatika (SIMIKA) Jurnal Ilmiah Sains dan Teknologi
Damyati, Fitri
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Computer Science & IT Decision Sciences, Operations Research & Management Library & Information Science Physics

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COMMUNITY SERVICE APPLICATIONS FOR VILLAGE OFFICE USING LARAVEL FRAMEWORK Damyati, Fitri; Nuryani, Ely; Hasanah, Huswatun; Ruhiawati, Irma Yunita; Oktavani, Nicko
Jurnal Sistem Informasi dan Informatika (Simika) Vol 7 No 1 (2024): Jurnal Sistem Informasi dan Informatika (Simika)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/simika.v7i1.3249

Abstract

The government has developed a population administration system to support public services, one of the media used by the government is electronic government (e-government). One of the villages that has a large Regional Revenue and Expenditure Budget (APBD) in the Serang district, Banten province is Ranjeng village, Ciruas sub-district. The problem is that data management in villages is still carried out semi-manually, there is no specific application to handle this management so it is not time efficient, reporting and the level of service to the community is less than optimal. To overcome these problems, a system is needed that can help the community in submitting letters and can help the village government to improve services to the community. The system design used in this research is using the Waterfall method so that it is easier to develop and using UML (Unified Modelling Language) for visual system modelling, while the programming language used is PHP using the Laravel framework. The final result of this research is a system that can improve the services of the Ranjeng Village Office to the community to be optimal.
Analisis Prediksi Kelulusan Mahasiswa Universitas Sultan Ageng Tirtayasa Menggunakan Algoritma Machine Learning dan Feature Selection Sukarna, Royan Habibie; Holilah, Holilah; Damyati, Fitri; Hilman, Mohamad
Jurnal Ilmiah Sains dan Teknologi Vol 8 No 2 (2024): Jurnal Ilmiah Sains dan Teknologi
Publisher : Teknik Informatika Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/saintek.v8i2.3468

Abstract

The KNN algorithm with feature selection achieved the highest accuracy of 74.44% and an Area Under the Curve (AUC) of 0.8212. This model showed a balanced accuracy improvement compared to its performance using the dataset with complete features, which had an accuracy of 72.83% and an AUC of 0.8071. Similarly, the Random Forest model with feature selection showed an accuracy of 72.00% and an AUC of 0.7741, compared to an accuracy of 70.52% and an AUC of 0.7672 with all features. The SVM model with feature selection also improved, reaching an accuracy of 72.28% and an AUC of 0.7812, compared to an accuracy of 69.80% and an AUC of 0.774 with all features. Logistic Regression showed minimal change, with an accuracy of 69.14% and an AUC of 0.7644 after feature selection, compared to an accuracy of 69.25% and an AUC of 0.7645 with all features.
Assessing AI Integration in Islamic Higher Education: A Mixed-Methods Fishbone Diagram Analysis Aan Ansori; Damyati, Fitri; Dhestyani, Syifa Amara
IJID (International Journal on Informatics for Development) Vol. 13 No. 2 (2024): IJID December
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2024.4862

Abstract

The integration of Artificial Intelligence in higher education has shown significant potential to improve the efficiency and effectiveness of learning. The strategic implementation of AI in Indonesian State Islamic Higher Education Institutions fosters innovative pedagogy and improved academic performance. This study employs the Fishbone Diagram approach to systematically analyze Artificial Intelligence's impact on Indonesian State Islamic Higher Education Institutions education, identifying key factors influencing implementation. The method employs a reverse-cause analysis, mapping factors contributing to a primary issue, and identifying underlying causes and sub-factors. Findings highlight the crucial roles of technological infrastructure, human resource readiness, supportive policies, adaptive curriculum design, and organizational culture. This study underscores the necessity of integrated AI adoption frameworks in Indonesian Islamic higher education, harmonizing technological advancement with Islamic pedagogical principles. This study offers a foundational framework guiding Indonesian State Islamic Higher Education Institutions in developing sustainable and ethical AI policies. Comprehensive AI policies and strategies are essential for PTKIN to harmonize innovation with Islamic principles.
Co-Authors Aan Ansori Dhestyani, Syifa Amara Ely Nuryani Hilman, Mohamad Holilah Holilah, Holilah Huswatun Hasanah Oktavani, Nicko Ruhiawati, Irma Yunita Sukarna, Royan Habibie