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Analisis Dan Perancangan Sistem Informasi Pengelolaan Bantuan Pangan Non Tunai (BPNT) Berbasis Web Pada Pelaksanaan Distribusi BPNT Di Desa Lubuk Napal Ichsandi, Ichsandi; Effiyaldi, Effiyaldi
Jurnal Manajemen Sistem Informasi Vol 5 No 4 (2020): MANAJEMEN SISTEM INFORMASI
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jurnalmanajemensisteminformasi.2020.5.4.948

Abstract

Desa Lubuk Napal in distribution Bantuan Pangan Non Tunai (BPNT) still get trouble, such as : An error occurs in the distribution of the aid , the process of making the report for the reception of bpnt took quite some time for , and data pengeloaan rice stocks and eggs which are distributed sometimes an error occurs in recording and calculation. The purpose of research is analyzing and design information systems processing Bantuan Pangan Non Tunai (BPNT) web-based using PHP programming language and MySQL database. Metodology of this research use waterfall model and unified model language using use case diagram, activity diagram, and class diagram. Conclusion of this system can process data of distribution to check recipients with no. Id card that will not be the double and there have been wrong in the distribution of, and can print reports required by the center of marl village in the distribution of the reports on the recipients are: bpnt bpnt, report, aid supplies reports revenue and reports on the distribution of aid.
Implementasi UML dalam Desain Sistem Informasi Program Studi SI di Universitas Merangin Ichsandi, Ichsandi; Yanto, Widja; Alhaq , Hawari; Sari, Rica Syofiana; Juanda, Muhammad
Impression : Jurnal Teknologi dan Informasi Vol. 4 No. 2 (2025): July 2025
Publisher : Lembaga Riset Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59086/jti.v4i2.902

Abstract

Penelitian ini bertujuan untuk mengimplementasikan Unified Modeling Language (UML) dalam desain sistem informasi Program Studi Sistem Informasi di Universitas Merangin. UML dipilih karena kemampuannya dalam memodelkan sistem secara terstruktur dan memfasilitasi komunikasi antara pengembang dan pemangku kepentingan. Metode penelitian menggunakan pendekatan berorientasi objek, dimulai dari identifikasi kebutuhan, pembuatan use case diagram, serta perancangan diagram aktivitas dan diagram kelas. Hasil penelitian menunjukkan bahwa penggunaan UML dapat menggambarkan kebutuhan fungsional sistem secara jelas, memetakan interaksi antar pengguna utama seperti mahasiswa, dosen, dan admin, serta memperjelas alur proses bisnis. Implementasi UML pada tahap desain terbukti meningkatkan efisiensi pengembangan sistem dan meminimalisir kesalahan interpretasi kebutuhan. Rekomendasi dari penelitian ini adalah penerapan UML secara konsisten dalam perancangan sistem informasi di lingkungan akademik untuk menghasilkan desain yang terstruktur dan mudah dipahami.     This study aims to implement Unified Modeling Language (UML) in the design of the Information Systems Study Program information system at Merangin University. UML was chosen for its ability to model systems in a structured way and facilitate communication between developers and stakeholders. The research method uses an object-oriented approach, starting from requirements identification, creating use case diagrams, and designing activity and class diagrams. The results show that UML usage can clearly illustrate the system’s functional requirements, map interactions among main users such as students, lecturers, and administrators, and clarify business process flows. Implementing UML in the design phase has proven to increase system development efficiency and minimize misinterpretation of requirements. The recommendation from this study is the consistent application of UML in information system design within academic environments to produce structured and easily understood designs.  
Analisis Dan Perancangan Clustering Siswa Baru Menggunakan Metode K-Means Pada SMK Negeri 1 Sarolangun Alhaq, Hawari; Yanto, Widja; Ichsandi, Ichsandi; Sari, Rica Syofiana; Sholid, Rolly Gios; Septiana, Alegriya Windi
Impression : Jurnal Teknologi dan Informasi Vol. 4 No. 2 (2025): July 2025
Publisher : Lembaga Riset Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59086/jti.v4i2.1035

Abstract

Teknologi Informasi dan Komunukasi digunakan dalam berbagai jenis aktifitas didalam kehidupan saat ini, Teknologi informasi sangat berperan dalam organisasi perusahaan salah satunya Business intelligence. Salah satu penghasil knowledge yaitu data mining. Data mining merupakan suatu teknik pengumpulan data untuk membentuk pengetahuan baru dari data yang ada. Banyak teknik pengelompokan data yang digunakan salah satunya algoritma yang sering digunakan adalah K-Means. Algoritma K-Means adalah algoritma clustering yang paling sederhana dibanding dengan algoritma yang lain. Algoritma ini termasuk salah satu algoritma paling penting dalam data mining. K-Means membagi data kemudian mengelompokkannya kedalam beberapa cluster yang memiliki kemiripan dan memisahkan setiap cluster berdasarkan perbedaan antar masing-masing cluster. Algoritma ini telah dikemukakan oleh beberapa peneliti dari disiplin ilmu yang berbeda. Tujuan penelitian ini dapat menganalisa clustering siswa baru menggunakan metode K-Means pada SMK N 1 Sarolangun serta merancang prototype clusteringnya. Dimana manfaat yang ditemukan nantinya yaitu untuk meningkat akurasi dalam pengelompokan siswa baru. Information and Communication Technology is used in various types of activities in today’s life. Information technology plays a crucial role in organizational operations, one of which is Business Intelligence. One of the key sources of knowledge is data mining. Data mining is a technique for collecting data in order to generate new knowledge from existing data. There are many data clustering techniques used, and one commonly applied algorithm is K-Means. The K-Means algorithm is one of the simplest clustering algorithms compared to others. It is also considered one of the most important algorithms in data mining. K-Means partitions data and groups it into several clusters based on similarities and distinguishes each cluster based on their differences. This algorithm has been proposed by researchers from various academic disciplines. The objective of this study is to analyze the clustering of new students using the K-Means method at SMK N 1 Sarolangun and to design a clustering prototype. The benefit of this study is to improve the accuracy of new student grouping.