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IMPLEMENTASI SISTEM INFORMASI AKADEMIK BERBASIS REST API MENGGUNAKAN FRAMEWORK LARAVEL Bayu Sukmo Adji; Rasyid Abdul Ra’uf; Reza Dwi Putra; Denis Aditiansyah; Olantianus Bebi Maxrin; Aryo Kresno Nugroho; Ariqa Hinta Nafi
Journal of Data Analytics, Information, and Computer Science Vol. 3 No. 1 (2026): Januari
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70248/jdaics.v3i1.3437

Abstract

Sistem Informasi Akademik (SIA) merupakan komponen penting dalam mendukung operasional institusi pendidikan, khususnya dalam pengelolaan data akademik dan layanan administrasi mahasiswa. Seiring meningkatnya kebutuhan integrasi antar sistem dan fleksibilitas pengembangan, pendekatan berbasis layanan melalui RESTful API menjadi solusi yang banyak diterapkan. Penelitian ini bertujuan untuk mengimplementasikan Sistem Informasi Akademik berbasis REST API menggunakan framework Laravel dengan menerapkan arsitektur berlapis (layered architecture). Sistem dikembangkan menggunakan Laravel versi 12, database MySQL, autentikasi berbasis token menggunakan Laravel Sanctum, serta dikembangkan menggunakan Docker dan docker-compose. Arsitektur sistem dirancang dengan pemisahan lapisan Controller, FormRequest, Service, Repository, dan Resource untuk meningkatkan keterpeliharaan dan skalabilitas sistem. Hasil implementasi menunjukkan bahwa REST API yang dibangun mampu mendukung proses akademik, meliputi pengelolaan data master, pengisian Kartu Rencana Studi (KRS), pengelolaan nilai, serta penyajian jadwal berbasis peran pengguna. Pengujian fungsional menggunakan Postman menunjukkan bahwa seluruh endpoint berjalan sesuai kebutuhan dan aturan bisnis yang ditetapkan. Penelitian ini diharapkan dapat menjadi referensi implementasi REST API pada sistem akademik dengan pendekatan arsitektur berlapis.    
Implementation of an Intelligent System for the Automation and Monitoring of Hydroponic Plants Olantianus Bebi Maxrin; Ryan Putra Laksana; Hani Dewi Ariessanti; B. Harjo Baskoro
Jurnal Teknologi Informatika dan Komputer Vol. 12 No. 2 (2026): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v12i2.3724

Abstract

Manual monitoring of household hydroponic systems is a critical limitation for users unable to be consistently present at the site. Manual monitoring cannot continuously detect fluctuations in Total Dissolved Solids (TDS) and growing medium moisture, risking physiological damage to lettuce and pak choi. This study designed, implemented, and evaluated an IoT-based smart system for real-time monitoring and automated irrigation on a household hydroponic installation in Panongan, Tangerang Regency. The study used a prototype development method with an ESP32 microcontroller integrated with a TDS sensor, a soil moisture sensor, a relay module, a water pump, and an I2C 16x2 LCD, with Blynk as the remote interface. The system applies rule-based logic: the pump activates when moisture is 60% or below and TDS is within 800-950 ppm. Testing ran over three days, data collected every 30 minutes, yielding 30 data points. The TDS sensor achieved an average error of 1.83%; soil moisture showed a maximum deviation of 4%. The pump activated automatically in all 6 triggered events, TDS remained normal in 90% of data points, moisture was restored in 100% of irrigation events, and all 9 notifications were received with an average latency of 5-6 seconds. The system is recommended for replication with further development.