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All Journal Jurnal Informatika Jurnas Nasional Teknologi dan Sistem Informasi IJIIS: International Journal of Informatics and Information Systems
Abdul Jahir
STMIK AMIKOM Purwokerto
Computer Science & IT Decision Sciences, Operations Research & Management

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APLIKASI SISTEM KEAMANAN MOBIL MENGGUNAKAN QUICK RESPONSE CODE BERBASIS ANDROID Indartono, Kuat; Jahir, Abdul
Jurnal Informatika Vol 18, No 1 (2018): Jurnal Informatika
Publisher : IIB Darmajaya

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

Abstract

Data Badan Pusat Statistik tahun 2014 jumlah tindak kriminalitas pencurian kendaraan bermotor sebanding dengan laju perkembangan jumlah pengguna kendaraan bermotor. Tindak kriminal pencurian ini adalah salah satu permasalahan sosial yang cukup mengkhawatirkan dan perlu di tangani dengan serius. Permasalahan sistem keamanan pada penelitian sebelumnya masih ada celah bagi pencuri, karena pencuri masih bisa menghidupkan kendaraan bermotor dan masih bisa membawanya. Solusi dari permasalahan tersebut yaitu dengan membuat sistem keamanan mobil dengan Authentication Access Control, sehingga mobil tidak dapat dihidupkan tanpa seizin pemilik. Tujuan dari penelitian ini untuk mengurangi tindak kejahatan pencurian mobil dengan membuat aplikasi sistem keamanan mobil menggunakan Quick Response Code sebagai Authentication Access Control berbasis Android. Pembuatan aplikasi dengan menggunakan software MIT App Inventor 2. Pengujian aplikasi dengan menguji spesifikasi fungsional dari perangkat lunak menggunakan metode black box testing.  Hasil dari penelitian ini berupa aplikasi sistem keamanan mobil berbasis android (SIMMOBA).  
Decision Support System to Determine the Achievement of Students Using Simple Multi-Attribute Rating Technique (SMART) Jahir, Abdul; Setiawan, Ito; Arta, Anisa Dayu
International Journal of Informatics and Information Systems Vol 2, No 2: September 2019
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v2i2.12

Abstract

The problem is in determining the achievement of students by organizing the consultation between teachers. The purpose of this research is to assist the decision-making process of determining the achievement of students with SMART method implementation. The methods of collecting data are interviews, documentation, and observations. The method of system development used is the waterfall method by using the system design tools in the form of DFD and ERD. The software used in the creation of this application is Visual Studio and SQL server express. The results of this study are SMART ranking methods. The decision support process is more objective because it complies with predefined criteria.Decision Support System to Determine the Achievement of Students Using Simple Multi-Attribute Rating Technique (SMART)
Optimizing Higher Education Performance Through Data Integration Using the Zachman Framework: A Case Study on LAM Infokom Accreditation Criteria Jahir, Abdul; Wahid, Arif Mu'amar; Sufranto, Tri Titis
Jurnal Nasional Teknologi dan Sistem Informasi Vol 10 No 3 (2024): Desember 2024
Publisher : Departemen Sistem Informasi, Fakultas Teknologi Informasi, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/TEKNOSI.v10i3.2024.201-215

Abstract

This study explores the application of the Zachman Framework to enhance data integration in higher education, specifically targeting the LAM Infokom accreditation criteria. The research addresses the challenges faced by educational institutions in managing fragmented data systems, which hinder their ability to meet comprehensive accreditation standards. Utilizing a multi-phase methodology, the research incorporates a literature review, case analysis, and prototype development to develop a cohesive data integration model aligned with accreditation requirements. The Zachman Framework provides a structured approach to system integration, covering perspectives such as data types, processes, storage locations, personnel, timelines, and objectives. The proposed integration strategy emphasizes the use of Application Programming Interfaces (APIs), middleware solutions, and a centralized data warehouse to unify disparate data sources. These integration methods facilitate seamless data exchange across academic, financial, and administrative systems, promoting data consistency and accessibility. Additionally, a phased implementation plan is recommended, outlining specific tasks, resource allocation, and monitoring measures to ensure systematic system improvement. Key performance indicators and evaluation metrics are established to monitor the effectiveness of the integrated system in meeting accreditation requirements. The study highlights the importance of a robust data governance framework and the role of stakeholder engagement in overcoming technical and resource-related challenges. Ultimately, this research contributes a practical data integration blueprint for higher education institutions, offering a replicable model for achieving and maintaining accreditation compliance through structured data management and governance practices.
Optimizing Higher Education Performance Through Data Integration Using the Zachman Framework: A Case Study on LAM Infokom Accreditation Criteria Jahir, Abdul; Wahid, Arif Mu'amar; Sufranto, Tri Titis
Jurnal Nasional Teknologi dan Sistem Informasi Vol 10 No 3 (2024): Desember 2024
Publisher : Departemen Sistem Informasi, Fakultas Teknologi Informasi, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/TEKNOSI.v10i3.2024.201-215

Abstract

This study explores the application of the Zachman Framework to enhance data integration in higher education, specifically targeting the LAM Infokom accreditation criteria. The research addresses the challenges faced by educational institutions in managing fragmented data systems, which hinder their ability to meet comprehensive accreditation standards. Utilizing a multi-phase methodology, the research incorporates a literature review, case analysis, and prototype development to develop a cohesive data integration model aligned with accreditation requirements. The Zachman Framework provides a structured approach to system integration, covering perspectives such as data types, processes, storage locations, personnel, timelines, and objectives. The proposed integration strategy emphasizes the use of Application Programming Interfaces (APIs), middleware solutions, and a centralized data warehouse to unify disparate data sources. These integration methods facilitate seamless data exchange across academic, financial, and administrative systems, promoting data consistency and accessibility. Additionally, a phased implementation plan is recommended, outlining specific tasks, resource allocation, and monitoring measures to ensure systematic system improvement. Key performance indicators and evaluation metrics are established to monitor the effectiveness of the integrated system in meeting accreditation requirements. The study highlights the importance of a robust data governance framework and the role of stakeholder engagement in overcoming technical and resource-related challenges. Ultimately, this research contributes a practical data integration blueprint for higher education institutions, offering a replicable model for achieving and maintaining accreditation compliance through structured data management and governance practices.
Co-Authors Arta, Anisa Dayu Kuat Indartono Setiawan, Ito Sufranto, Tri Titis Wahid, Arif Mu'amar