This Author published in this journals
All Journal Jurnal TAM (Technology Acceptance Model) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Informasi dan Komputer Kurawal - Jurnal Teknologi, Informasi dan Industri JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi Jurnal Informatika Global Jurnal Teknologi Komputer dan Sistem Informasi JPP Jurnal Kesehatan Poltekkes Palembang JATI (Jurnal Mahasiswa Teknik Informatika) Jatilima : Jurnal Multimedia Dan Teknologi Informasi Ihsan: Jurnal Pengabdian Masyarakat Jurnal Sains Teknologi dan Sistem Informasi Jurnal Pengabdian kepada Masyarakat Bina Darma Brilliance: Research of Artificial Intelligence Informatics and Enginering Dedication Jurnal Teknologi Sistem Informasi Klik - Jurnal Ilmu Komputer Jurnal Sains dan Teknologi Publikasi Hasil Pengabdian Kepada Masyarakat. Prioritas : Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmu Multidisplin DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Jurnal Teknik Mesin, Industri, Elektro dan Informatika Proceeding of International Conference Health, Science And Technology (ICOHETECH) MDP Student Conference Jurnal Penelitian Sistem Informasi Journal of Embedded Systems, Security and Intelligent Systems Journal Of Artificial Intelligence And Software Engineering Manaruko: Jurnal Pengabdian Masyarakat Jurnal Riset Multidisiplin Edukasi Journal of Informatics and Advanced Computing Jurnal TAM (Technology Acceptance Model) JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)
Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : journal of artificial intelligence and software engineering

Workshop Management Application Design At Pt Abc Using Rational Unified Process Method Markopa, Andre; Rais, Falatehan; Dafid, Dafid
Journal of Artificial Intelligence and Software Engineering Vol 5, No 1 (2025): March
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i1.6468

Abstract

Proses bisnis yang berjalan pada PT ABC saat ini masih memiliki kekurangan yang dapat menghambat berjalannya proses bisnis dan pengambilan keputusan. Oleh karena itu, perancangan aplikasi ini dilakukan dengan bertujuan untuk membantu proses pencatatan dan perhitungan laporan serta transaksi agar pencatatan serta perhitungan laporan harian dan bulanan menjadi lebih cepat dan efisien serta tidak rentan terhadap kesalahan. Metode Pengembangan yang digunakan pada perancangan ini adalah metode RUP (Rational Unified Process), yang dimana prosesnya memiliki empat tahap utama yaitu inception, elaboration, construction, dan transition. Perancangan ini menghasilkan sebuah aplikasi manajemen bengkel yang dapat membantu proses pencatatan dan perhitungan laporan serta transaksi agar pencatatan serta perhitungan laporan harian dan bulanan menjadi lebih cepat, efisien dan tidak rentan terhadap kesalahan.
Application of K-Means Clustering Algorithm for Disease Grouping at Blessing Dental Care Clinic Fransiska, Cintiya Aulya; Dafid, Dafid
Journal of Artificial Intelligence and Software Engineering Vol 5, No 3 (2025): September
Publisher : Politeknik Negeri Lhokseumawe

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

Abstract

Blessing Dental Care Clinic is a clinic that provides dental practice services and general practitioner practices located in Palembang. This clinic offers general care and dental care managed by experienced doctors in their fields. The focus of the data used is medical record data, especially from general practice. Grouping large data into several groups based on similar pattern characteristics by utilizing the K-Means Clustering algorithm in CRISP-DM data mining was chosen to be more effective in handling various complaints of various diseases through the Clustering process. The results showed that the form of cluster 1 was 220 dominant data in the respiratory disease category, cluster 2 was 335 dominant data in the cardiovascular disease category, cluster 3 was 584 dominant data in the cardiovascular disease category, cluster 4 was 363 dominant data in respiratory disease, cluster 5 was 70 dominant data in respiratory disease, cluster 6 was 254 dominant data in cardiovascular disease and cluster 7 was 165 dominant data in ENT disease. In cluster 7 with an SSE value of 3189.16, the decrease is getting smaller and the spread pattern is starting to be optimal with a tendency for the pattern to be more spread out.
Implementation of the Apriori Algorithm in Determining Menu Bundles at Café XYZ Lusia Evi Sinarudia; Dafid Dafid
Journal of Artificial Intelligence and Software Engineering Vol 6, No 2 (2026): Juni (OnProgress)
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v6i2.9271

Abstract

Café XYZ is a coffee shop that still faces challenges in menu management, such as the absence of a bundling strategy and the limited use of transaction data, which is currently confined to administrative functions. In fact, transaction data has the potential to be utilized in developing more targeted marketing strategies. This final project aims to implement the Apriori algorithm to analyze sales transaction data in order to identify consumer purchasing patterns and recommend appropriate menu bundles. The analysis process follows the CRISP-DM (Cross Industry Standard Process for Data Mining) approach, while the application development adopts the Waterfall method. The result of this project is a web-based dashboard application built using the Flask framework and Python programming language, which can display transaction summaries and product association analysis results in a direct and interactive manner.