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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 49 Documents
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Search results for , issue "Vol. 4 No. 6 (2024): Juni 2024" : 49 Documents clear
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%
Perancangan Website Sistem Informasi KONI Menggunakan Metode Design Thinking Ebimbi, Selgi Agilsa; Anwar, Sariyun Naja; R Soelistijadi
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.v4i6.1852

Abstract

KONI Kendal Regency is an achievement sports organization in the Kendal Regency area which has various activities and achievements from athletes to be informed to the general public through a platform that can be accessed by many people. However, so far the Kendal Regency KONI administrators still use manual data and information recording so this is less effective and efficient. Therefore, this research provides a solution, namely a website-based information system as a promotional tool for organizations with the community. The process of developing the Kendal Regency KONI information system website uses the Design Thinking method to determine solutions to existing problems. The Design Thinking method is a problem solving method that focuses on the user. There are five stages that must be carried out in the Design Thinking method, namely empathize, define, ideate, prototype and test. This research resulted in a prototype design for the KONI Information System for Kendal Regency. Based on usability testing using the System Usability Scale (SUS) calculation, the final SUS score was 75 with a Grade Scale of "B" and received an Adjective Rating of "Excellent". The results of these calculations show that the prototype design meets the Acceptable requirements in the usability testing assessment. Thus, the implementation of this information system is expected to increase the accessibility and quality of information conveyed to the public regarding the activities and achievements of Kendal Regency KONI athletes
Sistem Pendukung Keputusan Pemilihan Saham Terbaik Menggunakan Metode SAW dan ROC Pada Subsektor Perbankan Hanny Caroline; Endang Lestari Ruskan
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.v4i6.1861

Abstract

Many investors, especially novice investors, think that from stocks they can get profits and wealth just by following recommendations without knowing what they are investing in and without understanding the risks of losses that can arise in the future. So to avoid losses, novice investors must conduct fundamental analysis before making long-term investment decisions. There are so many types of stocks listed on the Indonesia Stock Exchange (IDX) that investors can choose from and in conducting fundamental analysis there are many criteria (financial ratios) that must be considered as a basis for choosing the best stocks, therefore, the role of information technology is needed to help select the best stocks more quickly and precisely using special methods. Information technology that can help this is a Decision Support System. One method in the decision-making process is Simple Additive Weighting (SAW). The assessment capability in this method is more precise and accurate because it is based on the value of the criteria and the specified weights. The weight value will be determined using the ROC method. This study uses 13 criteria in the process of determining the best stocks, namely EPS, ROE, PER, PBV, DPR, NPM, ROI, ROA, DY, DER, QR, CR, and LDR obtained from the questionnaire results. The alternatives used are stocks from 44 banking subsector companies listed on the Indonesia Stock Exchange (IDX). From the calculations carried out, BBCA stock as A7 with a value of 0.920 is the best stock alternative
Analisis Data Time Series Untuk Prediksi Harga Komoditas Pangan Menggunakan Autoregressive Integrated Moving Average Sihombing, Ester Ivo; Suhendra, Christian Dwi; Marini, Lion Ferdinand
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.v4i6.1863

Abstract

Onions and chilies are two of the many food commodities frequently used by Indonesian people in their daily lives. The high demand in the market leads to price instability, causing prices to fluctuate or remain unstable. This can result in farmers suffering losses when selling their agricultural products. Therefore, forecasting is conducted to predict future prices of onions and chilies. This can provide information on the estimated prices that farmers will set for sale to traders, which is expected to address market price instability. This research aims to obtain the best model from the Autoregressive Integrated Moving Average (ARIMA) for forecasting the prices of onions and chilies in Manokwari Regency in 2024. The data for this study is sourced from the SP2KP (Market and Basic Needs Monitoring System) website, consisting of price data for red onions, garlic, and bird's eye chilies from January 2016 to December 2023. The best ARIMA models based on the smallest AIC values are ARIMA (2,0,0) with an AIC of 1341.784, ARIMA (3,0,0) with an AIC of 1278.688, and ARIMA (1,0,0) with an AIC of 1466.834 for red onions, garlic, and bird's eye chilies respectively, with RMSE values of 7447.06, 3501.71, and 13787.59 respectively. From these models, the predicted prices of the three commodities in 2024 from January to December are as follows: red onions around Rp 50,000/kg, garlic around Rp 40,000/kg, and bird's eye chilies between Rp 50,000 and Rp 70,000/kg
Penerapan Metode Neural Network Berbasis Web Dalam Prediksi Harga Telur Ayam Febiansyah Annaufal Ahnaf Fauzi; Sri Wulandari; Donny Avianto
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.v4i6.1865

Abstract

The demand for animal protein consumption is increasing in line with the development and growth of the livestock industry. Chicken eggs are one of the choices as a source of protein due to their abundant availability and affordable price. However, Yogyakarta Province experiences unstable egg price fluctuations, as indicated by the imbalance between high demand and limited production. To overcome this challenge, the authors developed the use of the Neural Network Backpropagation method to predict chicken egg prices. The selection of this method is based on its reputation for providing accurate predictions in this case. The implementation of this method resulted in an accuracy rate of 85%, which provides farmers with one of the useful tools to better manage risks and plan their production. This research is expected to make a significant contribution to the livestock industry, by providing farmers with a useful tool to manage risks and plan their production activities. In addition, this research is also expected to provide a better understanding of market behavior for stakeholders in Yogyakarta Province and the wider community. Thus, it is expected that this effort will not only improve the sustainability of the local economy but will also advance the livestock industry as a whole. With the results of this study, farmers are expected to optimize their strategies in adjusting production to the fluctuating market demand. In addition, stakeholders in Yogyakarta Province can use this information to develop more effective policies to support the growth of the livestock sector, especially in chicken egg farming
Sistem Pengendalian Persediaan Stok Obat dengan Menggunakan Metode Analisis Always Better Control dan Metode Economic Order Quantity Pada Apotek Shofika Adilya; Fitriani Muttakin; Angraini
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.v4i6.1866

Abstract

XYZ Pharmacy is a pharmacy that specializes in the sale of prescription medications and exclusively accepts prescriptions from licensed physicians. Problems that arise include determining which drugs should be prioritized to reduce production costs which result in unstable drug stock supplies, and frequent excesses and shortages of drug stock due to delays in drug orders from suppliers. Therefore, it is necessary to apply a technique that makes it easier to control drug stock at XYZ Pharmacy, which aims to make it easier for XYZ Pharmacy to determine which drugs should be prioritized and manage drug stock control in the pharmacy. To overcome these problems effectively. ABC analysis of drugs in group A shows that there are 7 types of drugs which contribute 35.00% of total drug use, and generate total income of 67%. In group B there are 6 types of drugs which represent 30.00% of total drug use and generate total income of 23%. Finally, group C consists of 7 types of drugs which cover 35.00% of total drug use, and generate total revenue of 11%. Using the EOQ method, analysis was carried out on 7 types of drugs in group A, obtaining various optimal order quantities EOQ. The highest EOQ was 90.64 or 90 items for OB2 drugs, while the lowest EOQ was 43.29 or 43 items for OB19. Each type of drug has a range of 1-4 Safety Stock, and the Reorder Point for each type of drug varies in terms of the number of units needed.
Implementasi Algoritma Selection Sort dan First Come First Served Dalam Sistem Reservasi Paket Wisata Tito Rizki Purnomo; Maimunah, Maimunah; Pristi Sukmasetya
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.v4i6.1868

Abstract

Candirejo Village is located in Borobudur District, also known as Candirejo Tourist Village. KOPERASI WISATA was established for the purpose of managing tourist destinations at the village.One of the tourism destination is named Nagari Wayang Kertas which located at Dusun Sangen. All the tourist comes to the village have to go through process from the thirds party which called KOPERASI WISATA. Those causes the arrival process innefective because they can not directly contacting the owner of the tourism destination. Solving this problem, designing a web-based reservation system for Nagari Wayang Kertas  facilitating the booking process would improve the time efficiency required for reservations. The methods of data collecting in this research includes observation, interviews, and literature review. The software development process itself using the Rapid Application Development (RAD) method due to its high success rate in software development. The implemented algorithms which used in this research are Selection Sort and First Come First Served maximizing the efficiency of the reservation process for visitors. Before being tested and implemented to the users, the testing system uses the black-box testing method. The results of the testing method showing that the function of the designed system works and operates as expected and needed
Analisis Perbandingan KNN, SVM, Decision Tree dan Regresi Logistik Untuk Klasifikasi Obesitas Multi Kelas Utiarahman, Siti Andini; A. Mulawati M. Pratama
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.v4i6.1871

Abstract

Obesity has become a concerning global health issue, with continuously increasing prevalence. Early identification and accurate classification of obesity are crucial for implementing appropriate prevention and treatment strategies. This study aims to analyze and compare the performance of four popular classification algorithms: K-Nearest Neighbor (KNN), Support Vector Machine (SVM), Decision Tree, and Logistic Regression, in performing multi-class obesity classification based on Body Mass Index (BMI)  according to World Health Organization (WHO) standards. Using a dataset reflecting population diversity, this research evaluates the ability of each algorithm to classify obesity into several categories, such as normal, overweight, obesity grade 1, obesity grade 2, and obesity grade 3. The study utilizes 2.111 records with 17 attributes. Results indicate that the Decision Tree Algorithm outperforms other algorithms, achieving an accuracy of 99.3%, precision of 0.97-1.00, recall of 0.98-1.00, and f1-score of 0.98-1.00. KNN follows with an accuracy of 99.0%, precision of 0.98-1.00, recall of 0.98-1.00 and f1-score of 0.98-1.00. meanwhile, the Logistic Regression algorithm achieves an accuracy of 98%, precision of 0.95-1.00, recall of 0.95-1.00, and f1-score of 0.95-1.00. SVM demontrates slightly lower performance, although still showing overall good results with an accuracy of 96.6%, precision of 0.90-0.99, recall of 0.94-1.00, and f1-score of 0.93-0.99..

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