Journal of Embedded Systems, Security and Intelligent Systems

Design and Build an Automatic Soil Spraying Device on Soil Moisture Using Soil Moisture Sensors

Abdul Rachman Manga', Dewi Widyawati, Fahmi, Samsul — Mon, 18 Mar 2024 00:00:00 +0800

The conventional manual watering method employed by cultivators often results in uneven watering and inconsistent water levels during each irrigation session. To address this problem, automatic watering tools are commonly adopted that utilize soil moisture sensors for efficient watering. However, challenges arise in dealing with diverse soil conditions across multiple planting media. In response to these challenges, the author proposed the design and development of a soil moisture-based watering device utilizing NodeMCU ESP32 as a microcontroller connected to six soil moisture sensors. This tool aims to provide a solution for watering six different soil media with varying conditions. The system incorporates six solenoid valves to control water channels, with a relay regulating the valve performance. The testing and implementation involve watering each soil medium when the sensor detects humidity levels exceeding 2047 bits. The preliminary tests demonstrated successful operation, particularly with solenoid valve 1 exhibiting consistent performance across ten trials, leading to positive outcomes for all six solenoid valves. Overall, the proposed tool proved effective in watering different soil media, with successful results in eight out of ten trials.

Implementation of Virtual Reality In Residential Interior Development Case Study: Bukit Baruga

Syarief Dienan Yahya, Fizar Syafaat, Muhammad Syafaat — Wed, 20 Mar 2024 00:00:00 +0800

The implementation of Virtual Reality (VR) in housing interior development is the focus of this research, with a case study conducted in the residential area of "Bukit Baruga." VR technology is employed to enhance user experience and improve understanding of interior design before actual implementation. This case study elaborates on the step-by-step implementation of VR in the context of housing interior development in Bukit Baruga. The research covers the design process, material selection, and virtual space arrangement, enabling prospective residents to explore and interact with the interior design before final decisions are made. The results indicate that the use of VR significantly enhances user engagement, facilitates understanding of design aspects, and provides deeper insights. However, challenges such as technological infrastructure and the need for market adaptation remain crucial considerations in VR implementation. By detailing the implementation steps and evaluating their impact, this research provides a comprehensive view of how VR technology can improve the quality of housing interior development. It is hoped that the findings of this research will serve as a foundation for further advancements in adopting VR as an effective tool in the housing development industry.

Enhancing The Quality of College Decisions Through Decision Tree and Random Forest Models

Sitti Rahmah Jabir, Huzain Azis, St. Hajrah Mansyur — Thu, 21 Mar 2024 00:00:00 +0800

One of the key indicators of the growth of a college is the number of students that are enrolled in the institution on an annual basis. Student enrollment is a crucial element in the growth of a college, particularly in the case of private institutions. When examining students' aspirations for higher education, several studies use data mining techniques to forecast the interests of students who will pursue college. Researchers adopt various ways to extract valuable information from data. Prior research has shown that the decision tree technique outperforms alternative methods. The random forest, in addition to the decision tree, is often used for predicting data mining tasks. Given the above background information, the author will conduct a study titled "Comparative Analysis of Decision Tree and Random Forest Algorithms in Predicting College Interests." According to the study findings, the decision tree outperforms the random forest in terms of outcomes. The accuracy of the decision tree model is 0.81, whereas the accuracy of the Random Forest model is 0.74. All in all, the Decision Tree approach will be used as the ultimate outcome for the implementation of Business Analytics.

Classification of Bugis and Makassar Lontara Texts with Viterbi Algorithm

Andi Hutami Endang, Achmad Zulfajri Syaharuddin — Thu, 21 Mar 2024 00:00:00 +0800

The Bugis and Makassar ethnic groups are among those originating from South Sulawesi, characterized by the use of the Lontara Bugis and Makassar scripts. The data utilized in this research consists of image data as the initial input. Subsequently, preprocessing is conducted where the data is cropped to obtain 168x168 pixel dimensions for each word. The cropped images are then labeled. In this study, labeling involves the conversion of Lontara script into Latin words. The same procedure is applied to each letter. Next, the obtained words are categorized into two classes: Bugis language and Makassar language. The next stage is processing, where the Viterbi algorithm is employed to determine the priority within a sentence used in the training and testing processes. Python programming language is used in this research. The research utilizes image data processed in the aforementioned preprocessing stage. The data transformed from Lontara script into Latin words is used in the Viterbi process. The Viterbi algorithm tests the data from the inputted sentences. Based on the research results, it is concluded that the use of the Viterbi algorithm in classifying Bugis Makassar Lontara texts yields accurate probability results. However, there are some aspects to be considered. The more data utilized, the better the classification results will be.

Analysis of the Utilization of Spraying Drones in Labulang Hamlet Farmer Groups in Patobong Village, Mattiro Sompe District

Firdaus, Alimuddin Sa’ban Miru, Nurhaliza Munir — Sat, 23 Mar 2024 00:00:00 +0800

This study aims to determine the analysis of the use of drone sprayers in farmer groups which includes a description of the use of drones, the level of knowledge and the level of motivation of farmers both individually and together. This research consists of 4 main stages including: observation, determining research variables, data processing and drawing conclusions. Data collection was carried out using observation, interview and questionnaire techniques. To find out the results of the study, data analysis techniques were carried out, namely: multiple linear regression, hypothesis testing, namely the t test and F test. The number of samples involved was 32 people. The results showed that: 1) the type of Spraying drone used in the field is DJI Agras T40 with a payload capacity of 20 liters. 2) The level of knowledge of farmers has two criteria, namely high and medium. The farmers with a high level of knowledge amounted to 34.3% and those with a moderate level of knowledge amounted to 65.6%. 3) The level of motivation of farmers has three criteria, namely high, medium and low. The farmers who have a high level of motivation amounted to 12.5%, a moderate level of motivation amounted to 31.3% and a low level of motivation amounted to 56.3%.4) Based on the results of the t test and the F test, it shows that the level of knowledge and the level of motivation have a significant effect on the use of drone spraying in Labulang Hamlet, Patobong Village, Mattiro Sompe District, so that H1 independent variables are "accepted" on the dependent variable and H0 is rejected.

Optimizing School Health With An Integrated Information System: A Case Study At Man Insan Cendekia Sorong

Wahyu Hidayat M, Muhammad Sadidan, Al Hikma Sake, Della Fadhilatunisa — Sun, 24 Mar 2024 00:00:00 +0800

The task of schools is to develop the whole person and provide effective knowledge and education. In the UKS MAN Insan Cendekia Sorong, the main problem obtained is the processing and data collection that is still done manually so that it can cause patient services to be limited, less effective and efficient. The solution to solve this problem is to build a school health information system that helps school health workers in managing data about UKS. Data collection methods are carried out using questionnaires, interviews and observations. The system development method used is waterfall. chosen because it is easy to implement and the resources required are minimal. This school health information system for UKS allows the management of patient data, drug data, and patient medical records to be organised and efficient.

Optimizing School Financial Management: The Role of Financial Information Systems in Education

Fri, 22 Mar 2024 00:00:00 +0800

In today's digital era this, System Financial Information (GIS) has become element crucial in management finance institution education, especially in the environment school. SIK no only works as a digital platform, but also as very important tool for students, parents, and staff school in management finance as well as transaction other. Implementation of SIK in the environment school No only simply step technological, but rather a strategy that can increase level transparency in management finances, reduce burden administration, and help school in optimizing income as well as reduce costs are not need. The existence of SIK becomes key in presenting efficiency and accuracy in the management process finance school. With reduce potency error or obscurity in management finance, SIK has role strategic in prevent and overcome potency problem serious that can be bother performance school in a way comprehensive. Apart from that , the application of SIK is also open opportunity For increase quality education provided to students, because source power and funds available allocated with more effective.