Electronic Theses and Dissertation

Pengelolaan budidaya tanaman hidroponik secara manual masih menghadapi berbagai kendala, seperti pencatatan pertumbuhan yang tidak terstruktur, kesulitan dalam memantau perkembangan tanaman, serta belum tersedianya mekanisme yang dapat membantu menentukan perpindahan tahap pertumbuhan secara objektif. Penelitian ini bertujuan untuk merancang dan membangun sistem monitoring tahap pertumbuhan tanaman hidroponik berbasis website menggunakan rule-based system sebagai mekanisme pendukung keputusan. Sistem dikembangkan menggunakan metode Waterfall, framework Laravel, dan database MySQL. Penentuan rekomendasi perpindahan tahap pertumbuhan dilakukan melalui mekanisme skoring terhadap parameter tinggi tanaman, jumlah daun sejati, pH larutan nutrisi, dan suhu air nutrisi, kemudian dibandingkan dengan nilai threshold yang telah ditetapkan. Selain itu, Finite State Machine digunakan untuk memodelkan perpindahan antar tahap pertumbuhan tanaman. Pengujian sistem dilakukan menggunakan black-box testing untuk menguji fungsionalitas sistem serta System Usability Scale (SUS) untuk mengevaluasi tingkat kemudahan penggunaan. Hasil penelitian menunjukkan bahwa sistem berhasil mengimplementasikan fitur pengelolaan data tanaman, pencatatan pertumbuhan, penjadwalan perawatan, riwayat pertumbuhan, serta rekomendasi perpindahan tahap pertumbuhan berdasarkan aturan yang telah ditentukan. Hasil black-box testing menunjukkan seluruh fungsi sistem berjalan sesuai dengan kebutuhan, sedangkan hasil evaluasi SUS menunjukkan bahwa sistem memiliki tingkat usability yang baik sehingga layak digunakan sebagai media monitoring dan pengelolaan pertumbuhan tanaman hidroponik.

Kata kunci: hidroponik, monitoring pertumbuhan, rule-based system, website, finite state machine

Manual management of hydroponic cultivation still faces several challenges, including unstructured growth records, difficulties in monitoring plant development, and the absence of an objective mechanism for determining plant growth stage transitions. This study aims to design and develop a web-based hydroponic plant growth stage monitoring system using a rule-based system as a decision support mechanism. The system was developed using the Waterfall development model, the Laravel framework, and a MySQL database. Recommendations for plant growth stage transitions are generated through a scoring mechanism based on plant height, number of true leaves, nutrient solution pH, and nutrient solution temperature, which are then compared with a predefined threshold value. In addition, a Finite State Machine is employed to model transitions between plant growth stages. System evaluation was conducted using black-box testing to verify functional requirements and the System Usability Scale (SUS) to assess usability. The results indicate that the developed system successfully implements plant data management, growth recording, maintenance scheduling, growth history management, and rule-based recommendations for growth stage transitions. The black-box testing results show that all system functions operate as expected, while the SUS evaluation indicates that the system has good usability. Therefore, the proposed system is suitable for supporting the monitoring and management of hydroponic plant growth. Keywords: hydroponics, plant growth monitoring, rule-based system, web-based system, finite state machine