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All Journal JSI: Jurnal Sistem Informasi (E-Journal) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JOURNAL OF APPLIED INFORMATICS AND COMPUTING SENTIA 2017 Jurnal of Applied Multimedia and Networking Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Aspirasi : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)

Dwi Ely Kurniawan

Unknown Affiliation

Author-ID : 2488336

Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Library & Information Science Mechanical Engineering Public Health Other

Published : 12 Documents Claim Missing Document

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Articles

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Penerapan Replikasi Data pada Aplikasi Ticketing Menggunakan Slony PostgreSQL Defriyanuar Dhining; Yeni Rokhayati; Dwi Ely Kurniawan
Journal of Applied Informatics and Computing Vol 1 No 2 (2017): Desember 2017
Publisher : Politeknik Negeri Batam

Nowadays, almost every company use web aplication to do their business activity. Besides multi-platform it also easier for installation and maintenance. Other that web application need a fast and reliable internet connection. It is necessity to make a server in local area network with syncronize database from one server to another server. Syncronize database will run using replication server database. Database replication can use many tool, one of them is Slony that is specially create for PostgreSQL. Replication database can also to pretend stopping application when there is bad internet connection. Replication database is one of stanby server tecknic because down server. Database synchronize will be buid using PHP programming language and PostgreSQL database with Slony which is open source at all, so it will reduce the cost of installation and maintenance.

Clustering Profil Pengunjung Perpustakaan Menggunakan Algoritma K-Means Fauziah Mahmuda; Maya Armys Roma Sitorus; Hilda Widyastuti; Dwi Ely Kurniawan
Journal of Applied Informatics and Computing Vol 1 No 1 (2017): Juli 2017
Publisher : Politeknik Negeri Batam

Business Entity library Batam (BP Batam) is a public library located in Batam city with thw number of visitors. Every visitor who comes to do the charging guest book manually by writing system. It causes a buildup of data which are not organized. Data mining is one of the analytical tools that can be used to address the backlog of data. The method of Clustering with the K-Means Algorithm used in analyzing the data library visitors BP Batam. Library visitors using the data processing method of Elbow to get the best number of clusters K i.e., K = 3, and by using the center point (centroid) initial i,e, P1 = (4,1), P2 = (2,4), P3 = (4,2). The purpose of this research is to apply the algorithm for K-Means clustering in the data library visitors (case study library BP Batam). K-Means clustering results obtained from 1556 dataset data library visitors are grouped into three clusters, Clusters 1 is dominated by a college student and visitor located at Batam Center, Cluster 2 is dominated by a college student and visitor located at Bengkong, Cluster 3 is dominated by public and visitor status in Batam Center.

Rancang Bangun Aplikasi WebGIS untuk Pemetaan Kondisi Sosial Ekonomi Kota Batam Ariyanto Ariyanto; Dwi Ely Kurniawan; Agus Fatulloh
Journal of Applied Informatics and Computing Vol 2 No 1 (2018): Juli 2018
Publisher : Politeknik Negeri Batam

Kondisi sosial ekonomi suatu wilayah kepulauan merupakan suatu hal yang perlu disampaikan secara publik, mengingat ketererbatasan dan ketersedian kebutuhan dasar dari kehidupan dan kemampuan ekonomi masyarakat lokal. Penelitian ini mencoba untuk melakukan survey terkait kondisi sosial ekonomi Kepuluan Riau dengan teknik penggalian sumber data BPS dan survey lokasi. Hasil survey kemudian diolah dan divisualkan dalam bentuk WebGIS untuk memudahkan dalam menampilkan informasi spasial. Digitasi peta menggunakan QuantumGIS berupa titik, garis dan polygon. Layanan server map menggunakan ArcGIS Online. WebGIS dikembangkan menggunakan CSS Bootstrap dengan menggabungkan data peta sehingga peta dapat mudah diakses dan menampilkan informasi dari berbagai perangkat dan platform. Harapannya memudahkan pihak CSR atau pemerintah dalam membuat keputusan terhadap kondisi sosial masyarakat.

Scenario-Based Association Rule Mining in Veterinary Services Using FP-Growth: Differentiating Clinical and Customer-Driven Patterns Rafi Dio; Aulia Agung Dermawan; Dwila Sempi Yusiani; Rifaldi Herikson; Andikha, Andikha; Dwi Ely Kurniawan; Adyk Marga Raharja
Journal of Applied Informatics and Computing Vol. 9 No. 3 (2025): June 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i3.9698

Veterinary clinics routinely generate transactional data that contain valuable information about both operational workflows and customer preferences. This study aims to differentiate between procedural and customer-driven service patterns by applying the FP-Growth association rule mining algorithm to 1,000 anonymized transactions comprising 94 unique items, collected from a veterinary clinic in West Java, Indonesia, during 2023. Two distinct analytical scenarios were constructed: Scenario 1 includes all services (procedural and customer-driven), while Scenario 2 excludes procedural items such as “Vet” and “Visit Dokter” to focus solely on client-initiated behaviors. Data preprocessing involved aggregating transaction items into a market basket format suitable for frequent pattern mining. The FP-Growth algorithm was employed to extract association rules, evaluated using support, confidence, and lift metrics. Results from Scenario 1 revealed rule patterns reflective of standard clinical protocols and operational dependencies, informing bundled service packages and inventory management. In contrast, Scenario 2 uncovered customer-driven associations, highlighting opportunities for personalized promotions and service innovation. The comparative analysis demonstrates the utility of scenario-based association rule mining for both operational optimization and customer engagement. While the findings provide actionable insights for clinic management, further validation with practitioners and implementation in multi-clinic settings are recommended to confirm real-world applicability and enhance generalizability.

Co-Authors Afdhol Dzikri Agung Riyadi Agus Fatulloh Ahmad Hamim THohari Andikha, Andikha Atalarik Ramli Aulia Agung Dermawan Azis Saputra Bisma Khairunnas condra antoni Defriyanuar Dhining Desi Ratna Sari Dian Nurdiansyah Dodi Prima Resda Dwila Sempi Yusiani Eka Mutia Lubis Evita S.Tr.Kom Fadli Suandi Fauziah Mahmuda Finkye Priya Gunadi Firmal Firmal Hamdani Arif Handry Elsharry Adriyanto Heru Wijanarko Hilda Widyastuti Kerobaganet Kerobaganet Maidel Fani Marga Raharja, Adyk Maryani Septiana Maya Armys Roma Sitorus Mira Chandra Kirana Muchammad Fajri Amirul Nashrullah Muhamad Naharus Surur Muhammad Agus Muljanto Muhammad Nashrullah Narupi Narupi Nelmiawati Nelmiawati Nur Cahyono Kushardianto Nur Imma Aulia Astori Prasetyawan, Purwono Rafi Dio Ridho Hafiedz Rifaldi Herikson Rina Yulius Riwinoto Riwinoto Rizky Pratama Hudhajanto Rokhayati, Yeni Satriya Bayu Aji Siahaan, Arta Uly Tian Havwini Uuf Brajawidagda Wirabuana Sakti Yosi Handayani

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Journal : JOURNAL OF APPLIED INFORMATICS AND COMPUTING