cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
M. Miftach Fakhri
Contact Email
fakhri@unm.ac.id
Phone
+6282290603030
Journal Mail Official
wahid@unm.ac.id
Editorial Address
Program Studi Teknik Komputer, UNM Parangtambung, Daeng Tata Raya, Makassar, South Sulawesi, Indonesia
Location
Kota makassar,
Sulawesi selatan
INDONESIA
Journal of Embedded Systems, Security and Intelligent Systems
Published by Universitas Negeri Makassar
ISSN : 2745925X     EISSN : 2722273X     DOI : -
Core Subject : Science,
Computer Science & IT
The Journal of Embedded System Security and Intelligent System (JESSI), ISSN/e-ISSN 2745-925X/2722-273X covers all topics of technology in the field of embedded system, computer and network security, and intelligence system as well as innovative and productive ideas related to emerging technology and computer engineering, including but not limited to : Network Security System Security Information Security Social Network & Digital Security Cyber Crime Machine Learning Decision Support System Intelligent System Fuzzy System Evolutionary Computating Internet of Thing Micro & Nano Technology Sensor Network Renewable Energy Wearable Devices Embedded Robotics Microcontroller
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 13 Documents
 1   2 
Search results for , issue "Vol 5, No 1 (2024): March 2024" : 13 Documents clear
Comparative Analysis of the Performance of Hadith Text Classification Methods: A Case Study with ANN and SVM Dewi Fatmarani Surianto; Muhammad Fajar B; Musda Rida Mulia; Indanasufya Indanasufya
Journal of Embedded Systems, Security and Intelligent Systems Vol 5, No 1 (2024): March 2024
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v5i1.2942

Abstract

Hadith is the second holy book for Muslims after the Quran, containing instructions from the Prophet Muhammad SAW, and narrated by Ulama / Mufti. As one of the main sources of Islamic teachings, hadith is used to explain and illustrate the teachings of the Quran. This study aims to compare the performance of hadith text classification using Artificial Neural Network (ANN) and Support Vector Machine (SVM) with Hadith Bukhari dataset. The stages include preprocessing, feature extraction with TF-IDF, classification, and evaluation. The evaluation results show different performance between ANN and SVM in two scenarios: with and without stemming. The use of stemming has a significant impact on model performance, reducing word variation and can result in a decrease in accuracy. The SVM model consistently showed higher accuracy than ANN in both scenarios, with the highest accuracy reaching 85% for classification without stemming. This study provides insight into the application of ANN and SVM in hadith text classification, emphasizing the importance of selecting a method that suits the characteristics of the data.
E-Presence and Monitoring System Based on Face Image Recognition with Local Binnary Pattern Histogram (LBPH) Algorithm Nurhikma; Abdul Wahid; Jumadi M Parenreng
Journal of Embedded Systems, Security and Intelligent Systems Vol 5, No 1 (2024): March 2024
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v5i1.556

Abstract

Abstract : There are still many attendance systems that are done manually, and some still use paper as an attendance tool. So it is not effective because the data from attendance is easy to manipulate. The purpose of this study is to create attendance by using web-based facial recognition so as to produce e-presence. The accuracy rate of facial sensitivity obtained by this researcher is 90%. This researcher uses the LBPH method to determine the level of accuracy of various lighting conditions. Researchers analyzed two samples, each of which had a different level of accuracy. For the error rate in recognizing faces as unknown (FRR), all are 100% with a duration of 1 minute each. The conclusion of this study is to use more dataset facial images and a bright level of brightness to make it easier to recognize face
Classification of Bugis and Makassar Lontara Texts with Viterbi Algorithm Andi Hutami Endang; Achmad Zulfajri Syaharuddin
Journal of Embedded Systems, Security and Intelligent Systems Vol 5, No 1 (2024): March 2024
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v5i1.623

Abstract

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.
Enhancing The Quality of College Decisions Through Decision Tree and Random Forest Models Sitti Rahmah Jabir; Huzain Azis; St. Hajrah Mansyur
Journal of Embedded Systems, Security and Intelligent Systems Vol 5, No 1 (2024): March 2024
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v5i1.1225

Abstract

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.
Design and Build an Automatic Soil Spraying Device on Soil Moisture Using Soil Moisture Sensors Abdul Rachman Manga'; Dewi Widyawati; Fahmi; Samsul
Journal of Embedded Systems, Security and Intelligent Systems Vol 5, No 1 (2024): March 2024
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v5i1.1228

Abstract

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.
Optimizing School Financial Management: The Role of Financial Information Systems in Education Andika Isma; Nurul Aditya Pratiwi; Miftahul Janna Awaliyah; Roman Febrian Dasmasela; Aprilia Manda Putri
Journal of Embedded Systems, Security and Intelligent Systems Vol 5, No 1 (2024): March 2024
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v5i1.1244

Abstract

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.
Implementation of Virtual Reality In Residential Interior Development Case Study: Bukit Baruga Syarief Dienan Yahya; Fizar Syafaat; Muhammad Syafaat
Journal of Embedded Systems, Security and Intelligent Systems Vol 5, No 1 (2024): March 2024
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v5i1.1254

Abstract

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.
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
Journal of Embedded Systems, Security and Intelligent Systems Vol 5, No 1 (2024): March 2024
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v5i1.1498

Abstract

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
Journal of Embedded Systems, Security and Intelligent Systems Vol 5, No 1 (2024): March 2024
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v5i1.2060

Abstract

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.
Utilizing the K-Means Clustering Algorithm for Analyzing Student Achievement Assessment at SMK Negeri 1 Gowa Andi Akram Nur Risal; Dyah Darma Andayani; Muh Ilham Suherman; Andi Baso Kaswar
Journal of Embedded Systems, Security and Intelligent Systems Vol 5, No 1 (2024): March 2024
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v5i1.2178

Abstract

Student achievement assessment is an integral part of the educational process that aims to measure student learning achievement. This study aims to analyze student achievement assessments at SMK Negeri 1 Gowa using the K-Means algorithm. This study uses student data from the 2021–2022 school year, grouped into three clusters: highest, medium, and sufficient. The analysis results show that K-Means successfully clusters students based on academic achievement. The first cluster displays focused students who excel in a few key subjects (PPKN, Physics, Chemistry, and Math); the second cluster shows students with excellence in certain subjects (PAI, Bahasa Indonesia, and History); and the third cluster displays students with the highest academic achievement in all subjects. Evaluation using the silhouette coefficient shows that cluster one has a range of 0.49–0.54, cluster two has a range of 0.49–0.56, and cluster three has a value of 0.50–0.55, indicating that the data density in each cluster is good. SMK Negeri 1 Gowa can use the results of this study as a basis for school evaluation to enhance student achievement.

Page 1 of 2 | Total Record : 13

 1   2 

Filter by Year

2024 2024


Reset
Filter By Issues
All Issue Vol 7 No 1 (2026): March 2026 Vol 6, No 4 (2025): Desember 2025 Vol 6, No 3 (2025): September 2025 Vol 6, No 2 (2025): June 2025 Vol 6, No 1 (2025): March 2025 Vol 5, No 3 (2024): November 2024 Vol 5, No 2 (2024): July 2024 Vol 5, No 1 (2024): March 2024 Vol 4, No 2 (2023): November 2023 Vol 4, No 1 (2023): May 2023 Vol 3, No 2 (2022): November 2022 Vol 3, No 1 (2022): May 2022 Vol 2, No 2 (2021): November 2021 Vol 2, No 1 (2021): May 2021 Vol 1, No 2 (2020): November 2020 Vol 1, No 1 (2020): May 2020 More Issue