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All Journal Jurnal Tekno Kompak MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA
Akbar, Fahmi Malik Namus
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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The development of a web-based internship information sys-tem at DLHK-DIY using the waterfall method Akbar, Fahmi Malik Namus
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 14 No. 2 (2024): Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v14i2.84-97

Abstract

The Department of Environment and Forestry of the Special Region of Yogyakarta (DLHK-DIY) encounters a significant challenge related to the insufficient integration of information services for the admission of internship and research programs. This has resulted in difficulties for applicants who seek up-to-date information from the offices or departments within DLHK-DIY, as well as challenges in the inefficient management of data by the institution. This research aims to resolve these challenges through the development of a web-based platform designed to optimize the processes of information and data management. As a result, the deployment of this platform will allow applicants to access information with greater ease and efficiency, while simultaneously improving the institution's ability to manage applicant data. The development methodology for this platform employs the Waterfall approach, encompassing phases such as Needs Analysis, System Design, Implementation, and Testing. The results of this study are projected to enhance the efficiency and effectiveness of the internship and research program implementation at DLHK-DIY. The progress of information technology in the realm of public services, as exemplified by this initiative, is expected to significantly influence service enhancement and data management within the institution.
The development of a web-based internship information sys-tem at DLHK-DIY using the waterfall method Akbar, Fahmi Malik Namus
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 14 No. 2 (2024): Matrix: Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v14i2.84-97

Abstract

The Department of Environment and Forestry of the Special Region of Yogyakarta (DLHK-DIY) encounters a significant challenge related to the insufficient integration of information services for the admission of internship and research programs. This has resulted in difficulties for applicants who seek up-to-date information from the offices or departments within DLHK-DIY, as well as challenges in the inefficient management of data by the institution. This research aims to resolve these challenges through the development of a web-based platform designed to optimize the processes of information and data management. As a result, the deployment of this platform will allow applicants to access information with greater ease and efficiency, while simultaneously improving the institution's ability to manage applicant data. The development methodology for this platform employs the Waterfall approach, encompassing phases such as Needs Analysis, System Design, Implementation, and Testing. The results of this study are projected to enhance the efficiency and effectiveness of the internship and research program implementation at DLHK-DIY. The progress of information technology in the realm of public services, as exemplified by this initiative, is expected to significantly influence service enhancement and data management within the institution.
Metode KNN (K-Nearest Neighbor) untuk Menentukan Kualitas Air Akbar, Fahmi Malik Namus
Jurnal Tekno Kompak Vol 18, No 1 (2024): FEBRUARI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jtk.v18i1.3241

Abstract

Penelitian ini bertujuan untuk membuat aplikasi yang lebih inovatif dari metode K-Nearest Neighbor (KNN) dalam menentukan kualitas air dengan mempertimbangkan 20 unsur kimia yang relevan. Kualitas air adalah aspek penting dalam kehidupan sehari-hari, dan upaya untuk memastikan air yang aman untuk dikonsumsi merupakan prioritas. Penelitian ini mengajukan pertanyaan utama: "Apakah metode KNN dapat memberikan pendekatan yang efektif dalam mengklasifikasikan kualitas air?" Metodologi penelitian ini melibatkan penggunaan dataset sekunder mengenai kualitas air dan menerapkan algoritma KNN untuk mengkategorikan data tersebut. Hasil dari metode KNN dibandingkan dengan metode klasifikasi lain yang umum digunakan dalam analisis kualitas air. Penelitian ini bertujuan untuk memberikan pandangan yang lebih dalam dan pemahaman yang lebih baik tentang potensi metode KNN. Berbeda dengan penelitian sebelumnya, penelitian ini membawa kebaharuan dengan pendekatan yang lebih canggih dan mempertimbangkan lebih banyak unsur kimia daripada yang umumnya digunakan dalam penelitian sebelumnya. Hasil penelitian ini diharapkan dapat memberikan wawasan baru tentang efektivitas metode KNN dalam mengklasifikasikan kualitas air yang dapat membantu masyarakat dan pemerintah dalam mengambil tindakan respons yang lebih efisien terkait dengan potensi kontaminasi dan masalah kualitas air lainnya. Dengan demikian, penelitian ini memiliki potensi untuk memberikan kontribusi berharga pada pemahaman kita tentang kualitas air dan pemanfaatan metode KNN dalam analisisnya.
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