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SAPUTRA, BAGUS DWI
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Journal : ijenset

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Application Of The Simple Moving Average Method for Farming Fish Price Forecasting Systems Mubaarok, Ahmad Husni; Bianto, Mufti Ari; Saputra, Bagus Dwi
Indonesian Journal of Engineering, Science and Technology Vol. 1 No. 1 (2024): VOL. 01 NO. 01 (JUNE 2024)
Publisher : Universitas Muhammadiyah Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38040/ijenset.v1i1.713

Abstract

Price is one of the important things that needs to be considered as a determining factor for profit or loss on product sales as a result of price fluctuations which are very difficult to control. Price fluctuations are caused by many factors including weather, stock availability, demand and others. One of the steps to overcome the problem of price fluctuations is to forecast the entry price of fish. Forecasting is the art or science of predicting future events using past data. The purpose of this study is to apply the simple moving average method to estimate the price of farmed fish. The simple moving average method uses a number of actual demand data to generate forecast values for future requests. This method has two special properties, namely to make forecasts that require historical data over a certain period of time, the longer the moving average, the smoother the moving average will be. This study uses data on fish prices (milkfish and tilapia) daily for January 2023. The results show that the Simple moving average produces a very accurate forecast with a MAPE percentage for milkfish of 2% and tilapia of 1.97%.   Keywords – Forecasting; Price; Simple Moving Average.
The Monitoring System for Water Quality Based on The Internet of Things (IoT) and Uses A TDS Sensor Zafi, Ali; Saputra, Bagus Dwi; Bianto, Mufti Ari
Indonesian Journal of Engineering, Science and Technology Vol. 1 No. 2 (2024): VOL. 01 NO. 02 (DECEMBER 2024)
Publisher : Universitas Muhammadiyah Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38040/ijenset.v1i2.1015

Abstract

This research focuses on designing an Internet of Things (IoT)-based water quality monitoring system for aquaculture ponds, utilizing Total Dissolved Solids (TDS) sensors and the ESP32 microcontroller. The system is developed to monitor water quality in real-time by measuring the concentration of dissolved solids in the pond water. Data from the TDS sensor is collected by the ESP32 microcontroller, which is connected to a WiFi network and subsequently transmitted to the cloud, where it is displayed on a website. The study shows that the system can categorize water quality into three statuses: safe, alert, and poor. These categories are based on predefined TDS threshold values. Daily collected data is processed to provide accurate information on water quality status. This system enables continuous monitoring, facilitating pond management. Users can easily access data through a web page that presents information in an easily understandable format. The research demonstrates the effectiveness of using the ESP32 microcontroller and TDS sensors in an IoT-based monitoring application, as well as the system's capability to provide clear and timely indications of water quality status. Keywords--  ESP32 Microcontroller; Total Dissolved Solids (TDS); Water Quality Sensor  
Smart Agricultural Governance: Methodologically Approached Web Based Automatic Monitoring and Irrigation Using Soil Moisture and Ultrasonic Sensors Syaifuddin, Ahmad; Saputra, Bagus Dwi; Shodiq, Muhammad
Indonesian Journal of Engineering, Science and Technology Vol. 1 No. 2 (2024): VOL. 01 NO. 02 (DECEMBER 2024)
Publisher : Universitas Muhammadiyah Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38040/ijenset.v1i2.1029

Abstract

Agricultural productivity in Lamongan, particularly in Kedungpring District, is critically challenged by manual land processing and recurring droughts that severely impact chili crop yields. The persistent lack of efficient monitoring and irrigation technologies exacerbates agricultural sustainability concerns. This study aims to develop an automated, IoT-based irrigation management system that optimizes water use efficiency for chili crops through advanced sensor technologies and fuzzy logic processing. Utilizing an ESP8266 microcontroller integrated with soil moisture and ultrasonic sensors, the research employs the Takagi-Sugeno fuzzy logic method to process real-time environmental data. The system dynamically monitors soil moisture levels and water resources, enabling precise irrigation control. Fuzzy calculations generated a solenoid valve operation time of 321 seconds, classified as moderate, demonstrating the methodology's potential for accurate irrigation management. The developed automated monitoring system successfully demonstrates the potential of IoT technologies in addressing agricultural challenges, providing real-time data visualization and intelligent irrigation decision-making. By integrating sensor technologies with fuzzy logic processing, the research offers a promising solution to improve water resource management and potentially enhance crop productivity in drought-prone agricultural regions.   Keywords- Fuzzy Methode; Smart Agriculture; Soil Moisture; Takagi-Sugeno; Ultrasonic.  
Decision Support System for Prioritizing Road Repairs with Simple Additive Weighting Method Ramadhan, Bayu Putra; Ardiansyah, Heri; Bianto, Mufti Ari; Saputra, Bagus Dwi; Widodo, Aris
Indonesian Journal of Engineering, Science and Technology Vol. 2 No. 1 (2025): VOL. 02 NO. 01 (JUNE 2025)
Publisher : Universitas Muhammadiyah Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38040/ijenset.v2i1.1040

Abstract

The Decision Support System (DSS) is a technology utilized to address the issue of determining road improvement priorities. In this context, DSS will be used to integrate various road assessment criteria and provide recommendations for repair priorities based on proven methods. The aim of this study is to design a decision support system for prioritizing road repairs in Lamongan Regency and to implement this system effectively. The Simple Additive Weighting (SAW) method was chosen for its ability to handle multiple criteria and provide measurable evaluations of alternative solutions. The criteria used in this research include road condition, traffic volume, and socio-economic impact. The results of this system demonstrate a prioritization order for road repairs that can assist in more efficient decision-making, focusing on the most urgent needs. This research is expected to contribute to improving the efficiency of road infrastructure management and to aid authorities in the planning and execution of road repairs. Keywords-- Decision Support System; Road Repair Priority; Simple Additive Weighting.
Co-Authors Abdul Rokhman Afifah, Salma Aulia Nur Ahmad Syaifuddin Aris Widodo Heri Ardiansyah Hutabarat, Degihon Daud Martua Kevie Desderius KISNO HADI KISNO HADI Mubaarok, Ahmad Husni Mufti Ari Bianto Muhammad Shodiq Naufaldy, Muhamad Zaky Ni Made Anggita Sastri Mahadewi Nur Hidayati Nyoman Ayu Sukma Pramestisari Ramadhan, Bayu Putra Saiful Bachri Virgianti Nur Faridah, Virgianti Zafi, Ali