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GPS Navigation System on Autonomous Ship as An Effort to Increase Fish Catch for Fisherman in Pamekasan Indonesia Bambang Sampurno; Ilham Farhansyah Putra; Mashuri; Eddy Widiyono; Mahirul Mursid; Suhariyanto
International Journal of Marine Engineering Innovation and Research Vol. 8 No. 4 (2023)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v8i4.5100

Abstract

Currently most of the marine fishing in Indonesia uses traditional boats with navigation systems using compasses and mobile phones. Besides being ineffective, this fishing system also has a high risk, so a safer fishing system is needed, namely using an autonomous boat with a system capable of attracting fish. The use of the Autonomous Surface Vehicle (ASV) for monitoring and fishing purposes has been carried out by Aryusmal (2018) [1] , namely using GPS equipped with an Arduino Uno microcontroller to carry out ship movements, and an error of 1.5 m was obtained. Whereas Permana (2018) [2] made an ASV ship with GPS equipped with an APM microcontroller and Arduino Uno, an error of 30 cm was obtained. Referring to the need for a safe fish system and the results of previous research, this paper designed an autonomous ship with a GPS navigation system using a pixhawk microcontroller which is supported by the use of a brushless motor as the main propulsion of the ship and mission planner software to determine navigation waypoints. This system is able to monitor in real time and save the results of navigation and compass movements up to the last waypoint on the Pixhawk microcontroller. To find out the performance of the ASV, waypoint latitude and longitude tests were carried out on a laboratory and field scale. Laboratory test results have an error of 1.7%, while the results of field testing error errors that occur are 4.4% at longitude and the smallest error is 1.3% at latitude. This error occurred due to field conditions due to sea water shocks. However, this error did not really affect the movement of the ASV ship, because the shift was not too far.
Dashboard Pre-Processing Data (DPD) as Data Analysis System with Technological Innovation to Perform Pre-Processing Quantitative Data Mashuri; Albertus Eka Putra Haryanto; Yola Argatha Manik; Dinar Sukma Dewi; Tegar Primadana Putra
IPTEK The Journal of Engineering Vol. 9 No. 1 (2023)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23378557.v9i1.a13050

Abstract

In essence, data in real-life always needs to be pre-processed or better known as pre-processing data. Pre-processing Data is one of the early techniques for converting raw data from various sources into cleaner information that can be used for further analysis. There are three types of pre-processing data, missing values, checking outlier data, and identifying the types of distribution in the data. Currently, statistical software that offers to be used in pre-processing data analysis has been widely and is quite familiar. However, the user is often can not run the analysis quickly. Therefore, there is the idea to create and develop an application or dashboard that can be used to solve these problems. The application this at is offered and trying to be developed is called "DPD (Dashboard Pre-Processing Data)". This application serves as a tool to pre-process data quickly and efficiently. In addition, with this application, it’s expected that users can identify missing values, data outliers, and some types of data distribution, so users can determine the analysis method that will be used on the research data they have.
Calculation and Design of Transmission System in the Design of Empty Palm Oil Fruit Bunches Chopper Machine with a Capacity of 100 Kg / Hour Dimitra Meidina Kusnadi; Mashuri; Muhammad Dimasromanda Hidayatullah; Muhammad Lukman Hakim; Suhariyanto
IPTEK The Journal of Engineering Vol. 9 No. 3 (2023)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23378557.v9i3.a18578

Abstract

The waste of empty palm fruit bunches (EFB) as compost material and as fiber material needs to go through a decomposition and chopping process to simplify the processing process. The empty palm fruit bunches (EFB) chopping machine has now been developed in various regions using various types of transmission, propulsion, and also various models. The design of chopping machines is also increasingly diverse in line with the increasing market demand for processed products from empty palm fruit bunches (EFB). Based on these conditions, an appropriate transmission system is needed to lighten the workload of the machine, increase production yields, and save production costs. From the results of the research, it was found that the empty palm fruit bunches chopping machine with a total capacity of 100 kg / hour was tested. The machine is driven by an electric motor with a power of 4 kW and a rotational speed of 1440 rpm, which is transmitted using a pulley and belt open drive transmission system. The power from the machine is transmitted to the cutting section to chop the empty palm fruit bunches well.
Smart Urban Farming Based on Internet of Things Using Soil Moisture Control and Application of Liquid Fertilizer to Mustard Mashuri; Muhammad Lukman Hakim; Achmad Zubaidi; Dika Andini Suryandari; Dimitra Meidina Kusnadi
IPTEK The Journal of Engineering Vol. 9 No. 3 (2023)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23378557.v9i3.a18446

Abstract

Soil conditions significantly impact plant growth. Liquid fertilizer is used to optimize plant growth, and soil moisture is crucial too. Insufficient moisture causes withering, while excess leads to reduced soil oxygen. To monitor soil moisture, researchers developed an IoT-based Smart Urban Farming device using ESP32 microcontroller and 6 soil moisture sensors. The system operates through CNC Milling with X and Z axes movement. ADC pin on ESP32 reads sensor values, controlled and monitored by thinger.io. The device can work automatically or manually. Input and output testing ensures performance assessment. Soil moisture sensor testing yields 2091-3998 bits range, stepper motor testing shows 1.96% highest error, and water pump testing takes 0.05 seconds/milliliter. Mustard plants use a 60% set point for soil moisture, and the pump activates at 55%. The device shows good performance with an error range of 0.03% - 0.08%, demonstrating the effectiveness of the smart urban farming system.
Water Quality Control System and Automatic Feeding Based on The Internet of Things for GoldFish Mashuri; Annisa Sabila; Mashirul Mursid; Fanoki Natri Ananda; Eddy Widiono; Bambang Sampurno
IPTEK The Journal of Engineering Vol. 10 No. 3 (2024)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23378557.v10i3.a21208

Abstract

Water quality affects fish survival and growth. Research on water quality management of aquaculture ponds can improve fish growth. Physical parameters of water quality, such as temperature, acidity, total dissolved solids and turbidity, affect fish growth. Feeding is also important, as fish require adequate feed intake. Improper use of feed can affect water quality indicators. Automatic water quality control and feeding systems have been developed with wireless technology and sensors of various functions. Data sent to mobile devices allows administrators to monitor air quality in fish farms. The creation of an automatic water metering device controlled through a smartphone was also carried out. This research aims to create an automatic water quality stabilization and feeding system for good fish growth.