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All Journal JIKA (Jurnal Informatika) Jurnal Teknik Informatika (JUTIF)
Aksani, Muhamad Luthfi
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Computer Science & IT Decision Sciences, Operations Research & Management

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PENGEMBANGAN SISTEM INFORMASI ORDER JASA DESAIN GRAFIS MENGGUNAKAN METODE RAPID APPLICATION DEVELOPMENT rusdianto, hengki; Nurhayati, Nurhayati; Aksani, Muhamad Luthfi; Rudianto, Rifki
Jurnal Informatika Vol 7, No 1 (2023): JIKA (Jurnal Informatika)
Publisher : University of Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jika.v7i1.7280

Abstract

Penggunaan sistem informasi pada saat ini sudah hampir pada semua institusi atau perusahaan, baik di perusahaan sekala kecil apalagi perusahaan berskala besar, untuk menunjang kegiatan bisnis mereka. CV Samudra Biru sebagai sebuah perusahaan yang sedang berkembang, yang bergerak pada bidang pembuatan jasa desain grafis, memiliki visi memberikan pelayanan terbaik bagi konsumennya, maka untuk mewujudkan visi tersebuat CV Samudra Biru membutuhkan sebuah sistem informasi yang bertujuan memberikan kemudahan dan pelayanan terbaik bagi konsumennya. Sistem informasi dalam hal ini adalah sebuah website yang menyediakan menu pemesanan jasa desain grafis, yang disesuikan dengan kebutuhan konsumen.  hal ini bertujuan untuk memudahkan pelanggan dalam melakukan pemesanan jasa desain grafis. Proses pengembangan dalam penelitian ini menggunakan bahasa pemrograman PHP dan database MySQL. Metode-metode yang digunakan dalam proses pengumpulan data antara lain: studi pustaka, wawancara, serta observasi. Proses perancangan dan pengembangan sistem menggunakan  Rapid Application Development (RAD) dan model pengembangan sistemnya menggunakan metode prototyping. Untuk proses pengujian sistem peneliti memakai metode mengetesan blackbox. Dengan adanya Sistem informasi ini diharapkan dapat membantu  konsumen jika ingin mendapatkan jasa pembuatan desain grafis, kapanpun dan dimanapun konsumen inginkan.
Design of a Digital Platform for PAUD Child Development Monitoring Using the Dynamic Systems Development Method and Machine Learning Destriana, Rachmat; Aksani, Muhamad Luthfi; Yudi Priyanggodo, Dyas; Farzani, Revalina
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 5 (2025): JUTIF Volume 6, Number 5, Oktober 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.5.4958

Abstract

This study aims to design a digital platform for monitoring early childhood development in PAUD (Pendidikan Anak Usia Dini) institutions by integrating Machine Learning (ML) into the Dynamic Systems Development Method (DSDM) framework. The research addresses persistent challenges in traditional monitoring systems, which are typically manual, fragmented, and lack real-time responsiveness. Utilizing a Research and Development (R&D) approach, the platform was developed iteratively with active involvement from teachers, parents, and administrators of PAUD institutions. System modeling employed Unified Modeling Language (UML), while ML techniques such as Decision Trees were trained on datasets sourced from PAUD Flamboyan in Tangerang. Key platform features include child data input, growth visualization, predictive analytics, and interactive dashboards. The system underwent black-box testing and usability assessments, achieving an average usability score of 4.5 out of 5. The ML model demonstrated  statistically valid and reliable performance with 89% accuracy, 85% precision, and 87% recall in predicting developmental delays. The findings highlight the effectiveness of the DSDM approach in facilitating adaptive system development, and underscore the value added by ML integration in enhancing decision-making within early childhood education. The platform not only streamlines developmental monitoring but also supports early interventions. Future work is recommended to broaden data sources, enrich personalization, and scale deployment across varied PAUD contexts. This study contributes to the advancement of intelligent decision support systems in early childhood education, enabling more accurate developmental monitoring and timely interventions.
Co-Authors Destriana, Rachmat Farzani, Revalina Nurhayati Nurhayati Rudianto, Rifki Rusdianto, Hengki Yudi Priyanggodo, Dyas