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All Journal SAMUDERA Jurnal Informatika dan Teknik Elektro Terapan e-Jurnal Arus Elektro Indonesia Sistemasi: Jurnal Sistem Informasi JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Information System for Educators and Professionals : Journal of Information System Jurnal Teknovasi : Jurnal Teknik dan Inovasi Mesin Otomotif, Komputer, Industri dan Elektronika JOURNAL OF APPLIED INFORMATICS AND COMPUTING METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Journal on Education Jurnal Informatika Kaputama (JIK) MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Community Development Journal: Jurnal Pengabdian Masyarakat Medika Teknika : Jurnal Teknik Elektromedik Indonesia Jurnal Sistem Informasi dan Sains Teknologi International Journal of Engineering, Science and Information Technology Jurnal Tika Malikussaleh Journal of Mechanical Science Technology Andalasian International Journal of Applied Science, Engineering, and Technology Jurnal Janitra Informatika dan Sistem Informasi Journal of Renewable Energy, Electrical, and Computer Engineering Jurnal Multidisiplin Madani (MUDIMA) Journal Of Human And Education (JAHE) Jurnal Sains dan Teknologi Journal of Social Interactions and Humanities (JSIH) Jurnal Energi Elektrik Jurnal Teknologi Terapan and Sains 4.0 Mafaza : Jurnal Pengabdian Masyarakat INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Innovative: Journal Of Social Science Research Jurnal Malikussaleh Mengabdi Jurnal Polimesin Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
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Journal : Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)

Implementation of the Double Exponential Smoothing Method in Predicting Palm Oil Harvest Yields Muhammad Raihan Rangkuti; Taufiq; Hafizh Al Kautsar Aidilof
Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Vol. 2 (2024): Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Publisher : Faculty of Engineering, Malikussaleh University

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Abstract

Double Exponential Smoothing (DES) is a forecasting method that combines two main components: level and trend. This method is used for data that shows a trend pattern, meaning data that tends to increase or decrease over time. This study aims to implement the Double Exponential Smoothing method to predict oil palm yields at PT. Amal Tani. The data used in this study consists of historical oil palm yield data from 2019 to 2023. The prediction system designed is web-based, utilizing PHP programming language and MySQL database. The performance evaluation of the prediction model is conducted using the Mean Absolute Percentage Error (MAPE) and Mean Absolute Error (MAE) metrics. The study demonstrates that the Double Exponential Smoothing method can produce accurate and effective predictions. The implementation of this system facilitates data processing and the dissemination of information related to oil palm yields. The results indicate that this prediction model can assist the management of PT. Amal Tani in making more accurate yield forecasts, thereby increasing productivity and operational efficiency. The implementation of this method is also expected to ease the company’s decision-making process regarding production planning and seed planting. This study concludes that the Double Exponential Smoothing method is an effective and accurate tool for predicting oil palm yields and provides positive contributions to data management and decision-making processes at PT. Amal Tani. This study offers insights into the application of the Double Exponential Smoothing method in forecasting oil palm yields.
Type Design of Control System in Hydroponic Plants Based on Arduino Uno Arnawan Hasibuan; Rita Sovianto; Ezwarsyah; Asri; Taufiq; M. Sayuti
Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Vol. 2 (2024): Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Publisher : Faculty of Engineering, Malikussaleh University

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Abstract

The decreasing availability of agricultural land due to urbanization threatens farmers' income and agricultural sustainability. Hydroponic cultivation offers a solution by maximizing limited land, especially in urban areas. However, challenges in managing nutrients and watering systems remain a key research focus to enhance hydroponic efficiency and support environmental sustainability and food security. This research aims to control water flow, watering, and nutrition based on a schedule regulated by the RTC DS3231 and to manage the water volume in the reservoir using the HC-SR04 sensor. Based on data analysis and testing, it is concluded that the system operates effectively, regulating water flow from 08:00 to 17:00 at a flow rate of 0.001464 m³/s, watering pests at 09:00 and 17:00 for 5 minutes at a flow rate of 0.0016 m³/s, providing nutrients every three days at noon for 2 minutes at a flow rate of 0.0007917 m³/s, and managing water volume in the reservoir between a minimum of 92% and a maximum of 97%, with a total capacity of 5,214 liters. This system works well, allowing the owner/farmer to only monitor the hydroponic plants.