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Nursobah, Nursobah
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Implementation of the Flutter Framework for Developing an E-Commerce Application Nursobah, Nursobah; Saad, Muhammad Ibnu; Kansil, Joese Andrew Josly
TEPIAN Vol. 5 No. 4 (2024): December 2024
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v5i4.3110

Abstract

The use of digital technology in the retail business has become imperative for competing in the modern era. For businesses such as vegetable shops, the presence of a digital platform is no longer an option but a critical necessity to remain relevant and competitive in an increasingly challenging market. Garvita Fresh Vegetable Shop still relies on conventional methods for vegetable ordering, typically conducted through platforms like Instagram or WhatsApp. In this context, there is a significant opportunity to enhance efficiency and customer experience by introducing a dedicated and well-integrated e-commerce platform. Therefore, the development of an e-commerce application using the Flutter framework for Garvita Fresh is essential. This application is developed using Visual Studio Code, the Flutter framework, and Firebase as the database. Data collection methods include observation, and the system development employs the waterfall model due to its clear, practical, and well-defined stages. System testing includes Black Box and Beta Testing, ensuring that the resulting application meets the expectations of prospective users.
Penggunaan Metode Action Research pada Perancangan Sistem Monitoring Internet of Things Kualitas Tanah untuk Kesehatan Tanaman di Perkebunan Jambu Citra Andrie Ramadhan; Nursobah Nursobah; Ahmad Abul Khair
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 8, No 3 (2025): Juni 2025
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v8i3.9006

Abstract

Abstrak − Penelitian ini bertujuan merancang sistem monitoring pH tanah berbasis Internet of Things (IoT) untuk diterapkan pada lahan perkebunan jambu citra. Meskipun teknologi pertanian modern semakin berkembang, hingga saat ini banyak petani yang masih bergantung pada metode tradisional dalam memantau kondisi tanah, seperti dengan pengamatan manual melihat kondisi tanaman secara langsung. Sistem yang dirancang dalam penelitian ini menggabungkan sensor pH tanah untuk mengukur tingkat keasaman tanah, mikrokontroler NodeMCU ESP32 sebagai pengolah data, LCD 16x2 I2C untuk menampilkan informasi lokal, serta aplikasi Blynk sebagai media monitoring jarak jauh. Tujuan dari perancangan ini adalah untuk memberikan alternatif yang lebih efisien dalam pemantauan tanah secara real-time, dengan harapan dapat meningkatkan produktivitas lahan perkebunan jambu citra. Penelitian ini masih berada pada tahap perancangan dan belum dilaksanakan di lapangan. Hasil dari penelitian ini diharapkan dapat menjadi dasar untuk pengembangan sistem monitoring pH tanah yang lebih praktis dan aplikatif di masa depan, serta memberikan kontribusi dalam pengelolaan lahan perkebunan secara lebih efektif dan efisien.Kata Kunci: Sistem monitoring; pH tanah; Internet of Things (IoT); NodeMCU ESP32; Pertanian modern Abstract − This study aims to design a soil pH monitoring system based on the Internet of Things (IoT) to be applied to the land of Citra guava plantations. Although modern agricultural technologies are continuously evolving, many farmers still rely on traditional methods to monitor soil conditions, such as manual observation of plant conditions. The system designed in this study integrates a soil pH sensor to measure soil acidity, a NodeMCU ESP32 microcontroller for data processing, a 16x2 I2C LCD for local information display, and the Blynk application as a remote monitoring medium. The purpose of this design is to provide a more efficient alternative for real-time soil monitoring, with the hope of improving the productivity of Citra guava plantations. This research is still in the design stage and has not yet been implemented in the field. The results of this study are expected to serve as a foundation for the development of a more practical and applicable soil pH monitoring system in the future, as well as contribute to more effective and efficient land management in plantations.Keywords: Monitoring system; soil pH; Internet of Things (IoT); NodeMCU ESP32; Modern agriculture
Prototyping Sistem Penyortiran Kematangan Buah Jambu Air Berbasis Arduino Hutapea Dwi Agustian; Nursobah Nursobah; Rizky Zakariyya Rasyad
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 8, No 3 (2025): Juni 2025
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v8i3.9056

Abstract

Abstrak - Proses penyortiran buah jambu air (Syzygium aqueum) secara manual sering kali kurang efisien dan tidak akurat, sehingga berpotensi menurunkan kualitas hasil panen. Penelitian ini bertujuan untuk mengembangkan sistem otomatis yang mampu menyortir buah jambu air berdasarkan tingkat kematangan, khususnya untuk membedakan antara buah matang dan busuk. Sistem ini menggunakan mikrokontroler Arduino Uno dan sensor warna TCS3200 untuk mendeteksi nilai RGB pada kulit buah. Berdasarkan hasil deteksi, buah akan diklasifikasikan sebagai matang atau busuk dan dipilah secara otomatis menggunakan motor servo. Prototipe dirancang dengan tambahan konveyor dan LCD untuk menampilkan informasi secara real-time, serta dikembangkan menggunakan metode prototyping iteratif (communication, quick plan, modeling, construction, evaluation). Hasil pengujian menunjukkan bahwa sistem mampu membedakan buah matang (RGB: 237, 302, 264) dan busuk (RGB: 289, 359, 308) dengan akurasi yang cukup baik. Kecepatan konveyor diketahui memengaruhi ketepatan pembacaan sensor, tetapi secara keseluruhan sistem telah memenuhi tujuan awal sebagai solusi otomasi penyortiran pascapanen. Rekomendasi pengembangan selanjutnya adalah integrasi kecerdasan buatan (AI) atau machine learning untuk meningkatkan akurasi klasifikasi dan adaptivitas sistem.Kata kunci: Arduino Uno; sensor warna TCS3200; jambu air; penyortiran kematangan; motor servo; prototyping; analisis RGB. Abstract- Manual sorting of water guava (Syzygium aqueum) fruit is often inefficient and inaccurate, potentially reducing the quality of the harvest. This research aims to develop an automated system capable of sorting water guava fruit based on the level of ripeness, specifically to distinguish between ripe and rotten fruit. The system uses Arduino Uno microcontroller and TCS3200 color sensor to detect RGB value on the fruit skin. Based on the detection results, the fruit will be classified as ripe or rotten and sorted automatically using a servo motor. The prototype is designed with an additional conveyor and LCD to display real-time information, and developed using the iterative prototyping method (communication, quick plan, modeling, construction, evaluation). The test results show that the system is able to distinguish ripe (RGB: 237, 302, 264) and rotten (RGB: 289, 359, 308) fruits with fairly good accuracy. The speed of the conveyor is known to affect the accuracy of the sensor readings, but overall the system has fulfilled its original purpose as a post-harvest sorting automation solution. Future development recommendations include the integration of artificial intelligence (AI) or machine learning to improve classification accuracy and system adaptivity.Keywords: Arduino Uno; TCS3200 color sensor; water apple; ripeness sorting; servo motor; prototyping; RGB analysis.
Co-Authors Ahmad Abul Khair Ahmad Fahrijal Pukeng Andi Wahyudi Andrie Ramadhan Anisa Purnama Azahari Bambang Kurniawan Basukiyatno, Basukiyatno Bustomi, Tommy Ekawati, Hanifah Fachry Abda El Rahman Harpad, Bartolomius Hartinah , Sitti Heny Pratiwi Hutapea Dwi Agustian Ita Arfyanti Jaelani, Jan-Jan Jan-Jan Jaelani Kansil, Joese Andrew Josly Kurnia, Asri Kusnandar Kusnandar Malalla, Syamsuddin Mallala, Syamsudin Muhammad Fahmi Nur Lipi Jumadil Sapari Nurhuda, Asep Pahrudin, Pajar Pitrasacha Adytia Pukeng, Ahmad Fahrijal Rajiansyah, Rajiansyah Reza Andrea Rizky Zakariyya Rasyad Saad, Muhammad Ibnu Sadya Winda Sari Salmon Salmon Sapran Hanafi Siti Lailiyah Sri Ratmini Sugeng Suryani Supriady Supriady Suryani, Sugeng Syamsuddin Mallala Tommy Bustomi Yunita Yunita