SYSTEM PLANNING OF DATA PROCESSING, STORAGE, AND USER INTERFACE FOR DAEMETERS: SYSTEM OF MONITORING OF PALM OIL PLANTATION

Oil palm plantations in Indonesia are the largest in the world, so that optimal plantation yields can drastically increase state revenues. Unfortunately, most fertilization processes in Indonesia are not optimal. This is because the process is carried out ex-situ by means of laboratory observatio...

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Bibliographic Details
Main Author: Ratu Dwi Asmaya, Putri
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/51178
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Institution: Institut Teknologi Bandung
Language: Indonesia
Description
Summary:Oil palm plantations in Indonesia are the largest in the world, so that optimal plantation yields can drastically increase state revenues. Unfortunately, most fertilization processes in Indonesia are not optimal. This is because the process is carried out ex-situ by means of laboratory observations. Oil Palm Plantation Soil Condition Monitoring System is a monitoring system used by oil palm plantation supervisors and smallholders to determine the quantity and type of fertilizer. This system will test the oil palm plant soil nutrients in-situ or on-site. The test results can also be displayed on an interface that the operator can see from a distance. The system takes data on plant nutrient values in the form of N, P, and K values, humidity, and pH from the data acquisition system, sent to the control system and data. The data is then sent to the storage server from the communication system. On the server the data will be processed to produce fertilizer recommendation values and quantities. The processed data along with the data element values will be sent to the user application (User Interface). In this final project, will be discussed further on the processing and storage subsystems, and interface subsystems. These three subsystems get data from the data acquisition subsystem first. Then the data will be processed by the control subsystem and the data is then sent through the communication subsystem. In designing the subsystem, it uses the Google Sheets environment for data processing, Google Firebase for storage, and Android Studio for the user interface. The results of this system test show that data processing can accept elemental input and calculate the type and quantity of fertilizers, then all data can be stored in the cloud, and the results can be displayed to the user in the user interface. This solution has several subsystems, namely: control and data subsystem, processing and storage subsystem, communication subsystem, and interface subsystem.