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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 41 Documents
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Search results for , issue "Vol. 4 No. 4 (2024): Februari 2024" : 41 Documents clear
Evaluasi Dan Perancangan Ulang Antarmuka Pengguna Menggunakan Metode Usability Heuristic Dicky Indrayan; Rosa Reska Riskiana; Aristyo Hadikusum
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 4 (2024): Februari 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i4.1184

Abstract

Climatebase is a website that provides job vacancies all over the world. The large number of user interactions every day on the website makes the Climatebase website must provide good interaction and usability in terms of user interface to its users. Based on observations and interviews conducted with Climatebase, the results are that Climatebase provides evaluation recommendations on the job board feature based on evaluations from users and Climatebase. Based on the results of the initial usability evaluation on the Job Board feature on the Climatebase website, a severity ratings value of 1.13 was obtained with three problematic usability aspects, namely Consistency and Standard, Help Users Recognize, Diagnose and Recover from and Help and Documentation. The results of the usability evaluation on three aspects received Severity Ratings in the range 1.67 to 2, including minor repair problems in low priority, therefore the focus of this research is design improvement. Evaluation was carried out using the heuristic evaluation method and redesigning the user interface using the principles of Human Centered Design. The results of the redesign on the Climatebase website get a severity rating of 0.84 including the Cosmetic problem category, no need to fix it unless there is additional time.
Decision-Making System for Determining Tuition Fees using the Simple Additive Weighting Method Gagah Dwiki Putra Aryono; Kenedi, Kenedi
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 4 (2024): Februari 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i4.1324

Abstract

This study aims to develop a decision-making system for determining tuition fees using the Simple Additive Weighting (SAW) method. The SAW method is a multi-criteria decision-making technique that calculates the weighted sum of decision alternative attributes. This system is designed to assist school administration in making decisions related to the determination of tuition fees for students, which is a crucial source of funding for school operations. The system was developed using PHP programming language and MySQL database. This study utilized descriptive research methods and data collection techniques such as interviews, observations, and documentation. The collected data were then analyzed using the SAW method to determine the weight of each attribute and rank the decision alternatives. The system's performance was evaluated using black-box testing methods, and the results indicated that the system exhibited excellent accuracy, reliability, and efficiency. The testing results showed that the developed system can assist school administration in making decisions related to the determination of tuition fees for students. The use of this system can simplify the decision-making process and reduce errors in decision-making, thereby enhancing school operational activities
Analisis Sentimen Pengguna Aplikasi CapCut Pada Ulasan di Play Store Menggunakan Metode Naïve Bayes Meliyawati; Hasan, Firman Noor
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 4 (2024): Februari 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i4.1555

Abstract

There is an increasing interest in sharing experiences displayed in video visualizations, creating a demand for efficient and simple editing tools. CapCut is an all-in-one creative digital platform that enables video editing on browser, desktop and mobile. The CapCut app is one of the most downloaded apps on the Play Store with 500 million downloads and is available for free. CapCut app is perfect for beginner editors as it has a simple interface with various interesting features such as templates that are easy to operate without the need for additional software. However, this cannot guarantee the satisfaction of its users. Various experiences that are felt affect the assessment given by users. Sentiment analysis is important to determine the level of user satisfaction, the results of which can be used as a reference for improving the quality of the application. To find out user reviews of the CapCut application, sentiment analysis is carried out using the Naïve Bayes method with the aim of knowing the number of positive and negative sentiments from user reviews. The data used is taken from the review column available on the Play Store using web scrapping techniques with the help of Google Colab as much as 880 user review data. The data is divided into 60% training data which is 528 reviews and 40% test data which is 352 reviews. The analysis resulted in 30 more negative sentiments than positive sentiments with the number of negative sentiments totaling 455 reviews and the number of positive sentiments totaling 425 reviews. Based on the evaluation using confusion matrix, the accuracy result is 84.09%, precision is 91.91%, and recall is 73.53%.
Analisa Perbandingan Metode Teorema Bayes dan Case Based Reasoning dalam Mendeteksi Penyakit Polymyalgia Rheumatica Intan Putri F; Siti Emalia; Agus Iskandar
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 4 (2024): Februari 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i4.1568

Abstract

This research aims to conduct a comparative analysis between two diagnostic methods, namely Bayes' Theorem and Case Based Reasoning, in detecting Polymyalgia Rheumatica. This disease is known for its symptoms of muscle pain and stiffness in certain parts of the body, so correct diagnosis is very important for effective disease management. The problem at hand is increasing the accuracy and effectiveness of diagnosis, and this research details how both methods are applied. The Bayes Theorem method is used to calculate the probability of the existence of a disease based on the symptoms that appear. Meanwhile, Case Based Reasoning utilizes knowledge from previous cases to determine the diagnosis in new cases. Data collection involves information on Polymyalgia Rheumatica symptoms from a number of patients. The comparative analysis includes evaluation of the accuracy, sensitivity, specificity, and computational time of both methods. It is hoped that the results of this research will provide a deeper understanding of the effectiveness of each method in supporting the diagnosis of Polymyalgia Rheumatica. These findings are expected to make an important contribution to the development of better diagnostic systems, with the potential to improve medical practitioners' ability to identify and manage this disease more efficiently. The results of the analysis using two approaches, namely Bayes' Theorem and Case-Based Reasoning, to assess Polymyalgia Rheumatica, revealed quite striking differences in the level of prediction certainty. Bayes' theorem sets the probability at around 22.1%, while the Case-Based Reasoning approach gives a probability level of up to 52%.
Perancangan UI/UX Point of Sale Berbasis Website Menggunakan Metode Design Thinking Ananta, Falih; Taufik Ridwan; Nono Heryana
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 4 (2024): Februari 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i4.1572

Abstract

In facing increasingly intensive business dynamics, especially in the era of technological advances, Cafe Naluri has taken a progressive initiative by implementing a cashier application system as a strategic step to simplify and increase efficiency in recording financial transactions. Although point of sales applications have become an integral part of their operations, the existence of several obstacles, especially potential slowdowns in the transaction process, is a major concern that may impact customer satisfaction levels. In this context, this research aims to redesign the UI/UX design of the point of sales application, with the main focus on increasing operational efficiency and increasing customer satisfaction at Cafe Naluri. The design thinking method is the main approach, including the stages of empathy, definition, ideation, prototyping and testing, to ensure the resulting solution meets the actual needs of users. This process will be supported by data collection methods, such as observation and interviews, to gain a deeper understanding of user needs and expectations, as well as to identify potential improvements that can be implemented. It is hoped that this redesign will not only address existing weaknesses in the system, but will also simplify all actions carried out in Cafe Naluri's internal processes, including transactional aspects. The updated user interface will be carefully designed to ensure optimal usability, focusing on an intuitive and efficient user experience. Thus, it is hoped that the results of this redesign will have a positive impact in increasing operational efficiency and customer satisfaction levels
Analisis Sentimen Terhadap KPU 2024 Berdasarkan Tweet Media Sosial Twitter Menggunakan Algoritma Naïve Bayes Dion Parisda Ray; Firman Noor Hasan; Ahmad Rizal Dzikrillah
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 4 (2024): Februari 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i4.1587

Abstract

The development of technology is currently very rapid making the dissemination of information faster, the dissemination of information is very easy to get on social media such as Twitter. Twitter social media itself provides features for its users to be able to send and read information in the form of text or video. Elections are a very important moment for the Indonesian people in choosing leaders, in this case the "2024 KPU" as the organizer is expected to be able to run the elections so that they run well. Twitter data collected with the keyword "KPU 2024" obtained a total of 3057 datasets, followed by a cleansing process which produced 715 datasets. The aim of this research is to find out how many positive and negative tweets comments and to indicate the accuracy of the implementation of the Naïve Bayes method. The accuracy results given by the Naïve Bayes algorithm are 67.13% with a precision of 66.04% and a recall of 100.00%. This research was conducted to see public sentiment towards the "2024 KPU" later. Evaluation results in the confusion matrix obtained true positives of 457 and true negatives of 235
Analisis Sentimen Ulasan Aplikasi Digital Korlantas POLRI Menggunakan Naïve Bayes pada Google Play Store Syarif Hidayatulloh Wazir Putra; Dimas Febriawan
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 4 (2024): Februari 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i4.1600

Abstract

Digital Korlantas POLRI is an application released on April 13, 2021 by Korlantas POLRI. This application aims to provide SIM extension services to the public digitally. This application has reached more than 5 million downloads, with 102 thousand reviews and a rating of 3.7. The reviews include a variety of positive and negative coments. Many users complained about the app’s performance. Therefore, sentiment analysis is needed with the aim of utomatically classifying a person’s sentiments into positive and negative groups. This research uses the Naïve Bayes algorithm as a classification method with a dataset of 1500, consisting of 536 positive sentiment data and 964 negative sentiment data. In a data processing process using data division with a ratio of 80:20, resulting in 1200 training data and 300 test data. The final result of this research is to get accuracy, precision and recall values which aim to evaluate how well the Naïve Bayes algorithm performs in the classification process. The values obtained from the evaluation by using data as much as 300 training data, shows an accuracy value of 70.33%, a precision value of 56.34%, and a recall value of 74.77%. The evalution test results show that the Naïve Bayes algorithm is successful in the classification process.
Pengujian Black Box dengan Teknik Equivalence Partitioning pada Aplikasi Monitoring Pemberian Obat Filariasis Berbasis Android Maulana, Mohammad Reza; Eko Budi Susanto; Paminto Agung Christianto
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 4 (2024): Februari 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i4.1603

Abstract

The application of information technology in various sectors, including the health sector, has become a necessity. Dinas Kesehatan (Dinkes) of Pekalongan City uses information technology to support the Pekalongan City Government's vision as a Smart City. One of the main focuses of the Health Department is treating elephantiasis (filariasis). Even though we have implemented a Mass Preventive Medication (Pemberian Obat Pencegahan secara Massal – POPM) program, the mycorrhiza filarial (MF) rate is still above 1%, requiring additional POPM. One of the problems is the monitoring of drug administration by Tenaga Pelaksana Eliminasi (TPE) officers which is not optimal. Therefore, a monitoring mechanism is needed, implemented through an online-based executive dashboard. The data and graphs on the dashboard come from an Android-based recording application installed on the TPE officer's smartphone. Android applications need to be tested to minimize errors or bugs which can be tested using the Black Box method. This research aims to test the system in terms of providing input and output without knowing the details of the code. One technique that can be used in Black Box testing is the Equivalence Partitioning technique, which divides the input into valid and invalid partitions to ensure the results match the test case. The research stages involve determining use cases, criteria, test partitions, creating test data, and test case design. Testing is carried out through test cases that test the login process, inputting drug data, and sending photos as proof of drug consumption. The results show that by testing the seven test cases, the system can be used properly according to the expected scenario. Some recommendations for improvements that are needed are adjustments to the output message to users. In general, the application for monitoring filariasis drug administration has functioned well, under the application design. Evaluation produces recommendations for improvements to improve user experience. This research can become a basis for further development, including thorough testing of the application.
Analisis Perbandingan Metode SMART Dan MOORA Pada Pemilihan Karyawan Terbaik Klinik Kecantikan Yuris Alkhalifi; Muhammad Rifqi Firdaus; Dinar Ismunandar; Irwan Herliawan
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 4 (2024): Februari 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i4.1620

Abstract

An employee is a person who works for a particular company or institution. One of the activities that a company or agency often does to motivate its employees to show their best performance is to select the best employees. Making the best employee decisions with simple calculations is often found problematic due to the plethora of considerations of several factors, one of which is the factor that describes how important the assessment weight of one criterion with the business weight of another. The problem was found at Karawang's Nastyaderm Beauty Clinic. Then the solution needed to solve the problem is to use decision-making technology such as the Decision Support System. (SPK). The aim of this research is to find the best employees by using a comparison of two SPK methods namely SMART and MOORA to find out which are the best method rated, easy to apply and relevant. The number of employees that will be evaluated is as many as 5 people. The evaluation was given by the owner of the Beauty Clinic Nastyaderm Karawang, the mother of Dr. Lina Wijaya. The results of research and testing of 5 employees obtained the highest score on the SMART method on behalf of Tiara Anggraeni with a score of 0.725 or 72.5%. By obtaining results from both methods, it provides an overview of the results of the two methods and can help provide alternative solutions to the owner of a beauty clinic to determine the best employee of his working environment
Sistem Pendukung Keputusan Pemilihan Sunscreen Untuk Remaja Menggunakan Kombinasi Metode SAW dan ROC Yesi Handayani; Endang Lestari Ruskan
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 4 (2024): Februari 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i4.1622

Abstract

Ultraviolet (UV) rays can negatively affect the skin and increase the risk of developing skin cancer especially if it occurs throughout childhood and adolescence. For teenagers, especially those who are often active outdoors, use of sunscreen is very important in order to avoid premature aging and various harmful effects of UV radiation. The use of inappropriate products will hamper the sunscreen's ability to protect skin thoroughly and may cause side effects such as acne or irritation. There are many types and brands of sunscreen products for each skin type, as well as various product criteria that are also considered by teenagers in choosing the best sunscreen product. Role of information technology can help the process of determining the best sunscreen products quickly and precisely, one of which is Decision Support System. The method used is ROC method to determine the weight value of criteria and sub-criteria, and SAW method to determine the final value in ranking alternatives. The data source of this research was obtained by distributing questionnaires to 103 respondents who were teenagers in Palembang City. This study uses 8 alternatives and 8 criteria, namely registered BPOM (C1), acne skin condition (C2), skin type suitability (C3), composition (C4), price (C5), weight (C6), weight suitability to price (C7), and texture (C8). Based on the ranking results, the highest preference value for oily skin type is 0.802, dry skin type is 0.782, normal skin type is 0.788, sensitive skin type is 0.790, and combination skin type is 0.788. All of these skin types have the same alternative with the highest preference value for each skin type, namely alternative A1 (Azarine Calm My Acne Sunscreen Moisturizer SPF 35 PA+++).

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