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INDONESIA
KLIK: Kajian Ilmiah Informatika dan Komputer
Published by Sekolah Tinggi Manajemen Informatika dan Komputer Budi Darma
ISSN : -     EISSN : 27233898     DOI : -
Core Subject : Science,
Computer Science & IT
Topik utama yang diterbitkan mencakup: 1. Teknik Informatika 2. Sistem Informasi 3. Sistem Pendukung Keputusan 4. Sistem Pakar 5. Kecerdasan Buatan 6. Manajemen Informasi 7. Data Mining 8. Big Data 9. Jaringan Komputer 10. Dan lain-lain (topik lainnya yang berhubungan dengan Teknologi Informati dan komputer)
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 561 Documents
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Penerapan Jaringan Sensor Nirkabel dan Internet of Things (IoT) pada Pertanian Terpadu Suhardi; Dedi Triyanto; Irma Nirmala
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 5 (2024): April 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i5.1823

Abstract

Integrated farming system is an approach to managing plants, livestock, and fish along with their environment to create optimal results. The development of integrated agriculture is advancing with technologies such as Wireless Sensor Networks and the Internet of Things (IoT), enabling remote monitoring and control of agricultural environmental conditions. For this purpose, an application called "Integrated Farming System based on Wireless Sensor Networks and the Internet of Things (IoT)" has been developed. The system takes the form of aquaponics, consisting of areas for cultivating plants and ponds for fish farming, using subjects like Pakcoy plants and Nile tilapia fish. This system has been successfully implemented, reading water conditions including temperature and pH, as well as air conditions such as temperature and humidity. Moreover, the system can also monitor the status of the water pump used to channel water from the pond to the pipes, and it can control feeding in the livestock. Monitoring and control processes within this system are carried out using a website application.
Implementation of SVM and DT for Sentiment Classification: Tempel Hamlet Content Reviews Singgalen, Yerik Afrianto
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 5 (2024): April 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i5.1826

Abstract

The study aims to investigate the effectiveness of sentiment analysis algorithms, specifically Support Vector Machine (SVM) and Decision Tree (DT), integrated with the Synthetic Minority Over-sampling Technique (SMOTE) to mitigate class imbalance issues. Guided by the Cross-Industry Standard Process for Data Mining (CRISP-DM) framework, the research involves several stages: Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, and Deployment. The process begins with understanding the business objectives of sentiment analysis and proceeds to explore and prepare the dataset for analysis. SVM and DT algorithms, enhanced with SMOTE, are then implemented for sentiment classification. The study reveals promising results in sentiment analysis tasks. When integrated with SMOTE, SVM achieves an accuracy of 99.21%, while DT attains an accuracy of 98.33%. The Area Under the Curve (AUC) metrics indicate high confidence in classifying positive instances, with SVM and DT demonstrating AUC scores of 1.000 and 0.996, respectively. These findings underscore the efficacy of SVM and DT algorithms, enhanced with SMOTE, in accurately classifying sentiment within text data, thereby addressing class imbalance issues effectively
Performance Evaluation of Sentiment Classification Models: A Comparative Study of NBC, SVM, and DT with SMOTE Singgalen, Yerik Afrianto
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 5 (2024): April 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i5.1827

Abstract

This research explores the performance of sentiment classification models, namely Naive Bayes Classifier (NBC), Decision Tree (DT), and Support Vector Machine (SVM), using the CRISP-DM methodology in the context of digital content analysis and data mining. The analysis was conducted on a SMOTE dataset in Rapidminer, yielding significant performance metrics. The NBC model achieved an accuracy of 86.98% +/- 0.96%, precision of 100.00% +/- 0.00%, recall of 78.82% +/- 1.55%, and f-measure of 88.15% +/- 0.97%, with an AUC of 0.657 +/- 0.203. Similarly, the DT model exhibited an accuracy of 93.20% +/- 0.42%, precision of 90.87% +/- 0.64%, recall of 98.88% +/- 0.31%, and f-measure of 94.70% +/- 0.31%, with an AUC of 0.918 +/- 0.006. Furthermore, the SVM model demonstrated an accuracy of 96.80% +/- 0.65%, precision of 98.99% +/- 0.28%, recall of 95.77% +/- 1.03%, and f-measure of 97.35% +/- 0.55%, with an AUC of 0.994. These findings highlight the efficacy of these models in accurately classifying sentiments within digital content, suggesting their suitability for various data mining applications. Recommendations for future research include exploring ensemble methods, continuous model updating, alternative sampling techniques, feature engineering approaches, and collaboration with domain experts to enhance real-world applicability
Comparative Analysis of DT and SVM Model Performance with SMOTE in Sentiment Classification Singgalen, Yerik Afrianto
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 5 (2024): April 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i5.1828

Abstract

This research investigates the efficacy of employing the Cross-Industry Standard Process for Data Mining (CRISP-DM) framework to analyze sentiment classification models. The study focuses on evaluating the performance of Decision Trees (DT) and Support Vector Machine (SVM) models integrated with the Synthetic Minority Over-sampling Technique (SMOTE) across various performance metrics, including accuracy, precision, recall, f-measure, and Area Under the Curve (AUC). Using CRISP-DM, the research ensures a systematic data preprocessing, modeling, and evaluation approach. The findings reveal that both DT and SVM models with SMOTE achieve high accuracy rates, with DT yielding an accuracy of 98.37% +/- 0.48% and SVM achieving 98.91% +/- 0.59%. These models effectively distinguish between positive and negative sentiments, as precision, recall, and f-measure scores indicate. Additionally, the AUC scores underscore the robustness of the models in sentiment analysis tasks. These results highlight the potential of CRISP-DM as a structured methodology for sentiment classification research, providing insights into the performance of different machine learning algorithms in handling imbalanced datasets. Based on these findings, it is recommended that future studies further explore the application of CRISP-DM in sentiment analysis tasks and investigate the scalability of DT and SVM models with SMOTE in larger datasets.
Klasterisasi Pasien Rawat Jalan di Puskesmas dengan Menggunakan Metode Algoritma Clustering K-Means Azkar, Azkar; Kusrini, Kusrini
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 5 (2024): April 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i5.1832

Abstract

The Aikmel Utara Public Health Center in Lombok Timur Regency began operating in mid-2019, but has never utilized patient data to obtain information as a basis for decision-making efforts to improve quality of health services and consequently enhance patient satisfaction. The target respondents patient satisfaction survey at the Public Health Center are visitors, the majority of whom are outpatient visitors. The purpose of this research is to group outpatient patients based on variables such as gender, age, participation status in the BPJS health insurance program and patient address, as well as diagnosis of the patient's disease using the k-means clustering algorithm method with the assistance of the RapidMiner application. Patient data totaling 1889 were grouped into 2 clusters, 3 clusters, 4 clusters, and 5 clusters, and evaluated using the Davies-Bouldin Index (DBI). The research results show that the number of clusters formed is 2, with cluster 1 consisting of 1570 data and cluster 2 consisting of 319 data. Cluster 1 is dominated by female patients (1074 or 68.4%), BPJS participants (819 or 52.2%), with the most common age group being adults (883 or 56.2%), and most of them are from Toya village (488 or 31.1%), with the most common diagnosis being acute respiratory infections (J06) (223 or 14.2%). Meanwhile, cluster 2 is dominated by female patients (205 or 64.3%), BPJS participants (202 or 63.3%), with the most common age group being adults (191 or 59.9%), and most of them are from Toya village (108 or 33.9%), with the most common diagnosis being pregnancy examinations (Z34) (29 or 9.1%). From these cluster results, it is obtained that the majority of outpatient visitors at the Aikmel Utara Public Health Center are from Toya village and are dominated by the adult age group and BPJS health insurance participants, with the most common disease being acute respiratory infections. It is hoped that this information can assist the Public Health Center in making decisions or policies related to health programs in its working area
Pengembangan Aplikasi Kepegawaian Berbasis Web Menggunakan Framework CodeIgniter Menerapkan Model Waterfall Zeafli Pebriawan; Isnain, Auliya Rahman
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 5 (2024): April 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i5.1841

Abstract

This research on developing web-based employee applications was carried out using a case study of BSIP Bandar Lampung with PHP programming, MYSQL and CodeIginter Framework. BSIP (Badan Standardisasi Instrumen Pertanian) is an organization responsible for the standards and quality of agricultural equipment in the area. The main focus of BSIP is to develop standards, conduct quality testing, and supervise the use of agricultural equipment in the sector in Bandar Lampung. In the process of developing web-based applications using the SDLC method, the waterfall model is a useful approach in designing information systems that emphasizes the simplification of stages in system design, making it suitable for use in developing information systems to monitor strategic plans. The development of this application has stages such as analysis, design, programming, and testing by checking the features available in the application. This website-based staffing application has features, namely, adding employee data, editing employee data, printing staffing data, and staffing reports in which there is a feature page for recording leave data for all employees. The data contained in the staffing application is stored in a database contained in the phpMyAdmin program which has been stored in a structured manner based on the data that has been stored in the staffing application. The results of the development are the use case display, activity diagram, and implementation of the program that has been made which displays the results of the login page, admin dashboard page, data input page, employee data, employee attendance report, print employee reports.
Perancangan Prototype UI/UX Pada Pelacak Kendaraan Operasional Dengan Menggunakan Metode Design Thinking (Studi Kasus Penerapan Pada Instansi BUMN) Billan, Angel Caroline; Dedy Kurniawan; Ahmad Rifai; Putri Eka Sevtiyuni; Allsela Meiriza
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 5 (2024): April 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i5.1843

Abstract

Delivery of information and presentation of data can be delivered through applications that are implemented to help create a system based on company needs. This problem occurs because the government has more than 400,000 applications and each ministry/institution has around 24,000 applications. Many applications in companies do not operate multifunctionally because they are considered to be inconvenient and inefficient to use, thus causing the applications to become unused in companies. To develop a new system that will be implemented in a company, of course you want the application to be used continuously by users. One way to correct this error is to create a good UI/UX that can be adopted by the company by involving a deep understanding of the user and organizational goals. The resulting solution to overcome this problem was a UI/UX design at PT. Pertamina Hulu Rokan Regional 1 Zone 4 Field Limau which was designed in the form of a design prototype using the design thinking method. The main goal of making a UI/UX prototype is to improve the user experience at the company by meeting the company's needs for designing operational vehicle tracking applications. The final results of this research use the design thinking method and user experience questionnaire (UEQ) as testing to determine whether the response tends to be positive or negative from users. The results of the trial on the prototype received an "Excellent" score with a success rate for designing the UI/UX prototype application for PT's operational vehicle tracker. Pertamina Hulu Rokan Regional 1 Zone 4 Field Limau
Development and Testing of Arduino-Based Virus Spread Prevention Tools Khairul Imtihan; Wire Bagye; Maulana Ashari
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 6 (2024): Juni 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i6.1370

Abstract

The process of online buying and selling transactions which are global in nature by involving many people actually facilitates the process of spreading viruses, one of which is the Covid-19 virus, which spreads mostly through splashes of liquid expelled from the nose and mouth, such as sneezing, coughing and yawning. Viruses that stick to the surface of goods also have the potential to infect humans who come in direct contact. The incubation period for the virus until the disease appears is between 3 (three) to 7 (seven) days. the covid-19 virus is sensitive to heat with a temperature of 56 ? for 30 minutes. Based on the root of the problem, this research was conducted as an effort to prevent the chain of distribution of Covid-19 by building a heating box with a width of 50 cm and a length of 65 cm using fiber glass material with a thickness of 3mm. By using Arduino Uno as a tool to control the MLX temperature sensor, the temperature sensor works by emitting infrared light towards the surface of the goods wall, then reflected and received by the receiver. This heat will be converted by the temperature sensor module into a voltage between 0 to 5 Volts.This voltage is used as an arduino input to get the surface temperature of goods, the results of temperature readings are displayed on the 16 x 2 LCD. Based on the validation results of the electronic circuit design and heating box, validation results obtained were 89.26% for usability, 86.96% for information quality and 92.2% for service interaction quality with an average percentage of 89.47%, which means the tool is running well. The test results using an initial temperature of 30ºC and the desired temperature of 56ºC takes 1 minute 13 seconds, the temperature displayed on the LCD has reached 56ºC. . This heater is also operated through an android application that communicates with the Arduino microcontroller via the HC-05 bluetooth moduleAbstract is a brief summary of the manuscript to help readers quickly determine the main research problem, the method used as a solution to solving the problems encountered, research objectives and temporary research results which can be in the form of numbers/percentages according to research needs. The abstract should be clear and informative, providing a statement for the problem under study. Abstract length between 200 to 230 words. The abstract has no citations/references. Avoid unusual abbreviations and define all symbols used in the abstract. Using keywords related to the research topic is recommended.
Pemanfaatan Augmented Reality dengan Metode MDLC Pengenalan Area Petualangan One Piece Berbasis Android Taupik Kamil; Estu Sinduningrum; Muhammad Iqbal
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 6 (2024): Juni 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i6.1846

Abstract

The development of augmented reality (AR) technology has grown very rapidly in various applications, including in the fields of entertainment and education. One of the uses of augmented reality in new innovations in the field of entertainment is the introduction of adventure areas in the android-based one piece anime. Based on this explanation, this research aims to introduce adventure areas in the one piece anime, especially Marineford with the use of Augmented Reality technology using android to users. The problem faced is the lack of limited visual information in recognizing the adventure area in the anime. The use of augmented reality (AR) technology allows users to recognize 3D objects in the adventure area more interesting and fun. By using marker based technique, users only need to point the android camera device to a sign or target image that has been prepared then the 3D object will appear on the device screen in real-time. The method for developing this application is Multimedia Development Life Cycle (MDLC) because it is suitable for multimedia development including augmented reality. Application testing is done using blackbox testing in testing the functionality of the application on each component runs well. With the development of the adventure area application in anime one piece, augmented reality will present a new introduction for users to know the adventure area in anime one piece into augmented reality technology.
Penerapan Metode Extreme Programming Sistem Kearsipan Dokumen Berbasis Web Arief Hidayatullah; Dianni Yusuf; Indira Nuansa Ratri
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 6 (2024): Juni 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i6.1847

Abstract

PT. Trisakti Pilar Persada, a consulting firm specializing in public policy, faces challenges in managing both physical and digital document archives. Currently, physical documents are stored on shelves, while digital ones are on a single computer. To address this, a web-based archiving system is proposed to aid admin in managing internal document layout and employee access. The system aims to enhance transparency by allowing public access to performance reports. Developed using Extreme Programming, it utilizes PHP with Laravel framework and MySQL database. Black-box testing ensures user satisfaction. Users include admins and the public, with features like user management, meeting archives, reports, contracts, and more. Testing results indicate high ratings across functionality of 87%, usability of 91,2%, efficiency of 87,3%, maintainability of 88%, and portability of 87%

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