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All Journal EKSAKTA: Journal of Sciences and Data Analysis IPTEK The Journal of Engineering JFA (Jurnal Fisika dan Aplikasinya) International Journal of Marine Engineering Innovation and Research Jurnal Pengabdian kepada Masyarakat Bina Darma
Mashuri Mashuri
Institut Teknologi Sepuluh Nopember
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Physics Transportation Other

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Journal : IPTEK The Journal of Engineering

 1 
Dashboard Pre-Processing Data (DPD) as Data Analysis System with Technological Innovation to Perform Pre-Processing Quantitative Data Mashuri 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 : Lembaga Penelitian dan Pengabdian kepada Masyarakat

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 Mashuri; Muhammad Dimasromanda Hidayatullah; Muhammad Lukman Hakim; Suhariyanto Suhariyanto
IPTEK The Journal of Engineering Vol 9, No 3 (2023)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

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 Mashuri; Muhammad Lukman Hakim; Achmad Zubaidi; Dika Andini Suryandari; Dimitra Meidina Kusnadi
IPTEK The Journal of Engineering Vol 9, No 3 (2023)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

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.
Co-Authors Achmad Zubaidi Albertus Eka Putra Haryanto Arifin, Achmad Ayundyah Kesumawati Bambang Sampurno Dika Andini Suryandari Dimitra Meidina Kusnadi Dinar Sukma Dewi Eddy Widiyono Eko Nurmianto Ilham Farhansyah Putra Irhamah - Mahirul Mursid Muhammad Dimasromanda Hidayatullah Muhammad Hilman Fatoni Muhammad Lukman Hakim Suhariyanto Suhariyanto Tegar Primadana Putra Yola Argatha Manik