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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 Logika Fuzzy Untuk Peramalan Penjualan Cumi–Cumi Menggunakan Metode Fuzzy Time Series Cheng Agustina, Chaterine; Sriani
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 5 No. 1 (2024): Agustus 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v5i1.2105

Abstract

The utilization of fishery resources, especially marine, is currently dominated by community fisheries businesses that usually have a small scale. One of these resources is squid. Squid sales sometimes experience ups and downs, where the ups and downs of sales are influenced by several factors, one of which is bad weather. Therefore, the stock on the market is also getting smaller and the high price also makes buyers decrease. The uncertain need for squid sales every month makes it difficult to determine the amount of squid that will be brought in each month. The main objective of this study is to improve the accuracy of squid sales forecasting and to assist warehouse owners in managing production according to market needs. The results of this study are expected to provide a more accurate picture of squid sales trends in the future, so that they can help in making better business decisions. Fuzzy time series is a data forecasting method that uses fuzzy principles as its basis. In this study, all data amounted to 59 data per day for 3 months. The study was conducted using MATLAB software and using the R programming language to carry out the forecasting process. Compared to the previous one, the next sales increased because the forecast was obtained with a fairly rapid increase. The next squid sales forecasting process based on the dataset owned was 403 Kg. By using the MAPE technique, it is known that the prediction process carried out has an accuracy of 82.3%.
Implementasi Algoritma Genetika Proses Mutasi Differential Evolution Pada Sistem Penjadwalan Mata Pelajaran Meiliya Cahya Yustina; Ichwan Nul Ichsan; Galura Muhammad Suranegara
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 5 No. 1 (2024): Agustus 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v5i1.2109

Abstract

Making schedules at SMAN 2 Purwakarta requires extra effort due to the large number of classes and teachers. The current scheduling system uses two different software namely Asc Timetables and Microsoft Excel. The use of both software is inefficient and error-prone. The two software cannot be connected to each other so that the creation of schedules must be separate and requires a lot of time in synchronization which has an impact on the quality of learning obtained by students. To overcome this problem, an integrated scheduling system is needed that can work automatically and efficiently in one system. This research aims to create a scheduling system that is made automatically with optimization methods. One of the optimization methods is Genetic Algorithm and Differential Evolution. The terminology used is the initial population, calculate fitness, selection, crossover, mutation and iteration. So that the implementation of the system in this study uses a genetic algorithm with a differential evolution mutation process. The method used is using the Software Development Life Cycle (SDLC) with a waterfall development model. The results of the application of the genetic algorithm with the differential evolution mutation process show that the schedule generation meets the limitations for more optimal results. The limitation is that there should be no schedule clashes between teachers in the same hours and days. Based on the test results using SUS, the system gets a score from the SUS calculation which is 69.1. From this score get the weight of the SUS Grade Scale score “B” and Adjective Rating “Good”. So that it requires further development on the system. However, with this category the system is feasible to use if based on SUS testing.
Aplikasi Pemesanan Tiket Di Wisata Alam Tranding Camp Menggunakan Metode Periodic Review System Berbasis Android Alfachry, Louliq Rifky; Muhamad Alda
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 5 No. 1 (2024): Agustus 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v5i1.2121

Abstract

The rapid development of information and communication technology has brought significant changes in the tourism sector. One of the innovations that has developed is the use of an android application-based information system to facilitate access to information and needs more quickly, practically and precisely. One that needs it is Tranding Camp. Tranding Camp is one of the natural tourist attractions located in North Sumatra where ticket purchases there still use manual methods without the help of technology. This is certainly less effective, if there are many visitors who come, there will be a queue and of course this limits the ability of ticket managers to monitor ticket inventory and make timely decisions. This study builds an android-based ticket booking application using the Periodic Review System method. The Periodic Review System method is able to solve these problems by calculating predictions to manage ticket inventory efficiently in a certain period. The application built is android-based, this application aims to make it easier for visitors to buy tickets and assist managers in stock management. The results of the study showed an increase in operational efficiency and ticket management at Tranding Camp, supporting the use of information technology to improve the quality of tourism services. From the results of testing carried out with a blackbox testing approach, the system that was built can run well.
Vehicle Counting Detection on Roadways using YOLO Algorithm with PyTorch Transfer Learning Prihandoko; Ahsan Firdaus; Rini Sovia
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 5 No. 1 (2024): Agustus 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v5i1.1880

Abstract

This research discusses the implementation of a vehicle counting detection system on roadways utilizing the YOLO (You Only Look Once) algorithm, integrated with PyTorch's transfer learning and fine-tuning techniques. The study is motivated by the rapid increase in private vehicle ownership in Indonesia, which has heightened concerns regarding traffic congestion and accident risks. The primary objective of this research is to develop an efficient vehicle counting system based on Convolutional Neural Networks (CNN), designed to process images and videos. The methodology encompasses a literature review, system analysis, design, implementation, and evaluation. The system is built using YOLOv8, tailored with transfer learning to enhance object detection, focusing on cars. To track and count vehicles, the Centroid Tracker algorithm is employed. A dataset of 1,667 images was used, partitioned into training (1,488 images), validation (118 images), and testing (61 images) sets. The model achieved a detection accuracy of 97.92%, though minor detection errors were observed. In video-based testing, the system effectively detected and tracked vehicles, assigning unique IDs to individual cars. In conclusion, the YOLOv8-based model, combined with the Centroid Tracker algorithm, demonstrates strong performance in detecting and counting vehicles, offering potential contributions to traffic monitoring systems and providing a foundation for more sophisticated applications in future research.
Sistem Aplikasi Presensi dengan Foto Selfie dan Koordinat GPS Menggunakan Framework Laravel dan Metode Waterfall Suhanda Saputra
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 5 No. 1 (2024): Agustus 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v5i1.1911

Abstract

This research focuses on designing a system to overcome the problem of employee attendance when working outside the office area. The scope of this research includes designing and developing a comprehensive Android application that includes rules and information packages. The Waterfall development method is used to ensure a systematic and sequential approach throughout the system life cycle. The proposed system aims to provide presence information and can increase the ease and accuracy of employees in taking attendance when working outside the office area. Apart from taking attendance, employees also have access to various features through this application, including leave and sick leave, attendance history, late attendance and employee profiles. Apart from that, to access as an admin of this application, an admin can access the features in the application's web panel. In this case the admin can carry out monitoring, approve permits (leave) and illness, add employee data, add customer data, attendance location points and summarize attendance reports. The expected result of this research is the successful design and development of a robust, website-based employee attendance application system. This system will effectively assist employees in conducting attendance, providing real time and accurate information. The usability, functionality, and efficiency of the system will be evaluated, and user feedback will be collected to assess its effectiveness.
Pemodelan Klasifikasi Penyakit Daun Tanaman Tomat dengan Convolutional Neural Network Algorithm Goklas Henry Agus Panjaitan; Simatupang, Frengki
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.v4i5.1646

Abstract

Tomatoes constitute a horticultural crop with significant economic value and are extensively cultivated by the people of Indonesia, an agricultural country. Tomato productivity is anticipated to increase in 2021-2022. However, issues often arise during the plant care process when attempting to identify the type of disease affecting the leaves of tomato plants, owing to the nearly identical symptoms that make differentiation challenging. Tomato plant leaves play a crucial role in the plant growth process. Addressing the challenge of tomato leaf diseases necessitates a method that employs specific technology for easy detection. Before implementing this method, a classification model for tomato leaf plants must be developed. The goal of this modeling is to create an effective tomato leaf classification model for subsequent use in a disease detection system that utilizes IoT technology. The modeling of tomato plant disease classification involves the application of the Convolutional Neural Network algorithm. The modeling process encompasses data source analysis, data preprocessing, model formation, model training, model evaluation, and the subsequent acquisition of model results. The dataset utilized for implementation comprises 18,162 images of tomatoes. The accuracy of the training data surpasses that of the validation data, indicating the reliability of the data used for model development. The accuracy of the training data is recorded at 94.06%, signifying its suitability for modeling. Additionally, the loss function result on the training data is 7.8%, further affirming the quality of the training data for model development.
Sistem Pakar Diagnosa Gizi Buruk Pada Balita Menggunakan Metode Forward Chaining M Zaky Ramadhan Z; Fitriani Muttakin; Zarnelly; Inggih Permana
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.v4i5.1776

Abstract

During a child's growth and development, inadequate nutrition can impede both physical and intellectual development. Although many people perceive these issues as commonplace, neglecting them can lead to severe consequences. To address the challenge of a limited number of nutritionists and a growing number of patients, this final project introduces an expert system designed to identify malnutrition in toddlers. The expert system conducts a diagnosis of malnutrition based on observed symptoms and offers recommendations for addressing the issues associated with malnutrition in toddlers. This expert system aims to empower parents to independently identify their children's malnutrition types, potentially alleviating the shortage of nutritionists in the healthcare system. The expert in this study is a nutritionist working at Puskesmas Berkilau Pangkalan Kerinci 2. If the knowledge base and production rules, which consist of comprehensive and accurate information, are in place, they can be applied to develop an inference engine. In this phase, the application guides users in inputting facts (characteristics), enabling the generation of conclusions related to toddler nutrition levels. The knowledge stored in the knowledge base and production rules serves as the foundation for the inference engine
Sentiment Analisis Opini Masyarakat Sistem Ganjil Genap di Twitter Menggunakan Algoritma Naive Bayes Classifier dan Algoritma K-NN Acep Setiawan; Arafat Febriandirza
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 5 No. 1 (2024): Agustus 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v5i1.1837

Abstract

This journal's abstract addresses sentiment analysis of public opinion in relation to the odd-even system's implementation on Twitter, utilizing the K-NN and Naïve Bayes Classifier algorithms. The odd-even system was discussed in tweets by Twitter users, which served as the source data. The tweets were categorized into three sentiment categories: positive, negative, and neutral. The analysis's findings indicate that, of the total number of tweets gathered, 391 were categorized as neutral, 50 as negative, and 59 as positive. In addition, it was found that the Naïve Bayes algorithm and the K-Nearest Neighbor algorithm both had an average accuracy rate of approximately 79.72%. This suggests that both algorithms do similarly well when it comes to classifying the sentiment of the tweets under discussion. With respect to sentiment analysis of public opinion on the Twitter platform, this conclusion clarifies the performance comparison between the Naïve Bayes and K-Nearest Neighbor algorithms.
Pengembangan Sistem Pemantauan dan Pengendalian Jarak Jauh Berbasis IoT pada Penerangan Jalan Permukiman Ichsan Wasiso; Andriyan Dwi Putra; Arif Nur Rohman
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 5 No. 1 (2024): Agustus 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v5i1.1986

Abstract

Street lighting in residential areas, mainly rural or suburban areas, is vital in improving public safety, comfort, and security. However, many existing lighting systems still need to be more efficient, with high energy consumption and manual monitoring. This causes delays in repairs when damage or disruption occurs. This study aims to develop a Remote Monitoring and Control System for Street Lighting (SITERANG) based on the Internet of Things (IoT) to overcome these problems. The SITERANG system allows real-time and centralized monitoring of street lighting conditions. It offers energy-saving solutions through lighting intensity settings that can be adjusted according to needs, such as at night when community activity is reduced. SITERANG has lighting asset management features, automatic ON/OFF control, and a centralized monitoring system, allowing efficient energy consumption and cost analysis. The test results show that this system has been proven to save energy consumption by up to 49.17% compared to conventional lighting systems, directly reducing operational costs and electricity bills. The implementation of SITERANG offers a sustainable and efficient solution, providing significant energy savings and facilitating the maintenance of street lighting infrastructure in densely populated residential areas.
Rancang Bangun Sistem Informasi Akuntansi Berbasis Web Menggunakan Metode Waterfall Febriani Sulistiyaningsih
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 5 No. 1 (2024): Agustus 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v5i1.2069

Abstract

The use of information systems and information technology today greatly facilitates and helps in daily work. The rise of MSMEs, CVs and Startups in various fields of expertise certainly have their own business financial records. However, most of the company's financial records are still manual, so an accounting or financial information system was designed to facilitate the company's financial records. The creation of this company's accounting or financial information system certainly has several stages that must be passed. The waterfall method, which is one of the software development methods, is used in the creation of this accounting or financial information system. This is because by using the waterfall method, each stage can be done easily and clearly. The results of this study in the form of a company's accounting or financial information system will certainly make it easier for companies to help record company finances.

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