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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 ISO 31000:2018 untuk Manajemen Risiko E-Ticketing Taman Rekreasi XYZ William Frederick Worotikan; Evi Maria
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 5 (2023): April 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i5.666

Abstract

This research aims to carry out a risk management process for the e-Ticketing application at XYZ Recreation Park using ISO 310000:2018. The stages in risk management start from the process of communication and consultation, setting the context, and risk assessment, which includes the steps of identification, analysis, and evaluation of risk and the risk treatment process. The research results found that there were 33 potential risks arising from the implementation of the e-Ticketing application at XYZ Recreation Park. Of the 33 potential risks, there are four potential risks at a high level: the loss of network connection, incorrect customer data, the customer requesting a refund, and the system cannot verify transactions. Seventeen are potential risks at the medium level, and the remaining 12 are possible at the low level. The XYZ Recreation Park management has proposed these potential risks for handling. The results of risk management on the e-Ticketing application at XYZ Recreation Park from this research have been documented to serve as a guideline for managers managing the risk of implementing e-Ticketing applications there
Aplikasi Sistem Informasi Simpan Pinjam Koperasi Berbasis Website Menggunakan Metode Waterfall Dede Handayani; Miftakhus Salam
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 5 (2023): April 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i5.676

Abstract

KSPPS BMT Al-Bayan is a cooperative for savings and sharia-based financing that is based on the principles of people's economy, independence, and self-sufficiency, as well as being professionally managed with sharia principles. The BMT Al-Bayan cooperative has problems in the transaction data management system, where records are still being done conventionally by writing transaction data on paper by field officers and then handed over to the administration department to be inputted into the Microsoft Access application. As a result, it cannot be easily managed and the process of recording transaction data is repeated. In addition, there is no database-based application, which raises concerns about the ease of damage or loss of transaction data recorded by field officers before being handed over to the administration department. Based on these problems, research was conducted to create an information system application. The research methodology used was interviews, observations, and literature studies. Meanwhile, the system creation methodology used the System Development Life Cycle method with a waterfall model and Unified Modelling Language (UML) as a system depiction. This information system was created using the JavaScript programming language and the Express JS framework as the backend application, the React JS framework for data visualization, and PostgreSQL as the database management system. The result of this research is an information system application that can manage transaction data and customer data, which is expected to help the cooperative authority in managing transaction and customer data
Penerapan Data Mining Untuk Prediksi Penjualan Produk Pangan Hewan Menggunakan Metode K-Nearest Neighbor Rara Iriane; Nurfaizah
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 5 (2023): April 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i5.683

Abstract

Sales are buying and selling transactions for profit, in sales there is sales data or information about sales. Sales data is currently stored very much, it's just that it hasn't been used to help the sales process, including to predict the types of feed that are the most in-demand and not in demand. This can be used by the owner as an ingredient for making decisions in stocking food products. This research was conducted using animal feed sales data which aims to process information or data to become the basis for making conclusions for business owners in predicting sales using the data mining method, namely K-Nearest Neighbor. The KNN method itself has several advantages, one of which is that if the training data is large, the data will be more effective and resilient than noisy. This study uses 208 datasets with a comparison of the use of training data and testing data of 80:20. The results of this study resulted in an accuracy of 80.4% for classifying product categories with Euclidean Distance and produced predictions for the best-selling product that was the most sold, namely Whiskas 80gr Junior Tuna with predictions of 6963 sold. Meanwhile, the product that was predicted to sell the least was Whiskas Adult 1.2 kg with predictions sold as many as 8
Perancangan Website Company Profile Perusahaan CV. CUP10INDO Menggunakan Metode Design Thinking Abdurrahman Ibnul Rasidi; Nur Ghaniaviyanto Ramadhan
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 5 (2023): April 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i5.690

Abstract

CV.CUP10INDO is a newly pioneering company in the field of export of local products. Just like other business people, CV.CUP10INDO certainly needs media to convey information both from the product to be exported and information about the company's profile. In export activities, it is certain to rely on valid information because export activities involve many parties. This is due to the lack of valid information about existing products so that there are some consumers who cancel their orders. In order for this incident not to recur, it is necessary to create a company profile website that will be very profitable for CV.CUP10INDO because information will be quickly and precisely conveyed to consumers. Researchers use the Design thinking method to design a company profile website because the thinking process of this method is human centered design which means it is centered on the user itself. After the website has been completed, it is necessary to test whether the web is feasible or not. At the web testing stage, researchers use usability testing in a moderate remote manner and use SUS as a benchmark which gets a final score of 78 and gets a good grade which means the web is acceptable
Desain Penyiram Tanaman Otomatis Berbasis Arduino Menggunakan Sensor Kelembaban Tanah Yoli Andi Rozzi; Jhoanne Fredricka; Kelik Sussolaikah
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 5 (2023): April 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i5.701

Abstract

In line with the development of an increasingly advanced era, humans also expect a tool or technology that can help and facilitate in carrying out daily work. The technology developed varies according to the desired field. Both in the fields of education, communication, health and even in the fields of agriculture and food. One application of technology that can meet human needs in the field of food and agriculture is an automatic plant watering system. This system is designed to replace manual work to become automatic when watering plants. The expected benefit of this system is that the system can facilitate human work in watering plants so that it is more effective and efficient. This system consists of a Soil Moisture Sensor, Arduino Uno Microcontroller, Riley Driver, Pompa Air and LCD. The Soil Moisture Sensor system will be used to detect soil moisture. After reading the soil moisture value, the data will be sent to Arduino Uno, then Arduino will give an order to turn on/off the relay driver. Then the Relay Driver will set the conditions so that the pump can automatically water the water according to the needs of the plants. The results of this study indicate that the system works well, where the readable data will be displayed on the LCD. The automatic plant sprinkler system can work well to automatically water the plants when the soil moisture reading is below 60%
Implemetasi Algoritma Apriori dalam Penjualan Mebel Desyanti; Dewi Anjani; Desi Novianti
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 5 (2023): April 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i5.717

Abstract

CV. Andalas Jaya Furniture Dumai is a company engaged in the sale of furniture. Which every month CV. Andalas Jaya Furniture Dumai performs tens to hundreds of sales transactions. Currently CV. Andalas Jaya Furniture Dumai needs a strategy to increase sales, because there are many stocks of goods in the warehouse that have piled up and have not been sold, resulting in a stagnation of capital turnover. For that we need an analysis that can help CV. Andalas Jaya Furniture Dumai in managing which goods must be stocked according to consumer needs. There are several algorithms used to perform Market Basket Analysis, one of which is the Apriori algorithm. In this study, researchers will use the a priori algorithm to classify data on sales of CV. Andalas Jaya Furniture Dumai based on their tendency to appear together in a transaction. The results of this study are if a consumer buys an AC then he has a 71.42% chance of buying a TV and if he buys a TV then he has a 31.25% chance of buying an AC, if a consumer buys a TV table then he has a 62.5% chance of buying a TV and if If you buy a TV, you have a 31.25% chance of buying a TV table, if a consumer buys a refrigerator, you have a 100% chance of buying a TV, and if you buy a TV, you have a 31.25% chance of buying a refrigerator. Meanwhile, 25% of the 20 existing transactions contain both of these items
Klasifikasi Risiko Kesehatan Ibu Hamil Menggunakan Random Oversampling Untuk Mengatasi Ketidakseimbangan Data Riska Aryanti; Titik Misriati; Rahmat Hidayat
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 5 (2023): April 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i5.728

Abstract

Data imbalance is a common problem in classification, including in maternal health risk classification. Data imbalance occurs when the number of samples in the positive class is much less than the negative class. Data imbalance can cause the classification model to be inaccurate and tend to predict the majority class. One way to overcome the problem of data imbalance is to use the random oversampling technique. In this study, the random oversampling method is applied to overcome the problem of data imbalance in the classification of maternal health risks. Particle swarm optimization (PSO) is used for attribute weighting, improving the results of random oversampling and model performance. The results show that random oversampling can improve accuracy and reduce errors in predicting minority classes. In addition, the PSO technique also significantly contributed to improving the model's accuracy. The results of testing the random forest algorithm using 10-fold cross-validation on the health risks of pregnant women have an accuracy of 80.77%. After going through the random oversampling technique, the accuracy rate reaches 81.86%, and after optimization using the PSO technique, there is an increase of 2.15%, so the accuracy rate reaches 82.92%.
Penerapan Metode EDAS Dengan Kombinasi Pembobotan Entropy Dalam Penentuan Kinerja Dosen Terbaik di Masa Pembelajaran Daring Khairunnisa Khairunnisa; Mesran Mesran
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 5 (2023): April 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i5.731

Abstract

Educational activities have recently experienced many changes in the teaching and learning system which is carried out online due to the Covid-19 pandemic outbreak which has resulted in the government imposing various regulations, making it impossible for face-to-face learning to be carried out in the current conditions. Not many lecturers or teaching staff have experienced a decline in the quality of their performance resulting in reduced activity and discipline of a lecturer in disseminating the knowledge he has in the educational environment, so that teaching and learning activities are no longer creative and innovative. So the researchers researched and utilized decision support systems with the application of the Entropy method used to determine the level of importance of the criteria used in lecturer performance and the EDAS method to calculate and rank lecturer performance. The Entropy and EDAS methods can determine the level of importance of a criterion, while the EDAS method can rank based on predetermined alternatives and criteria. With a decision support system that applies a combination of the EDAS method with Etropy weighting, it is hoped that this system can assist in determining the best lecturer performance at Budi Darma University. According to the results of applying the EDAS method with a combination of the entropy method as its weighting, the best alternative chosen in determining the best lecturer performance during the online learning period at Budi Darma University is the A8 alternative with the best score of 1 with the names Mesran, S.kom, M. com. The results of this study show that the decision support system that has been built using the EDAS method with a combination of this Entropy weighting, can facilitate Budi Darma University in determining the best lecturer performance accurately, quickly, efficiently and objectively.
Penerapan Metode Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) dengan Pembobotan Rank Order Centroid (ROC) Dalam Sistem Pendukung Keputusan Pemilihan Guru Terbaik Rahma Yuni Simanullang; Mesran Mesran
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 5 (2023): April 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i5.733

Abstract

A decision support system (DSS) is a system that can solve problems that occur in ranking quickly and can find out the highest to lowest values ??in a selection. At this writing, it is a case study that can be solved using a decision support system, where the problem faced at SDN 153030 Kedai Gedai 1 Barus District is how to choose the best teacher in the school and to make a selection you have to use manual methods and the assessment process takes a long time to get results. Therefore a decision support system is created that can assist the assessment process. This decision support system is carried out using the MOORA and ROC methods where this method is used for testing which aims to determine the accuracy of the values ??obtained by the system, sensitivity trials are given to criteria weight values ??and modification trials that aim to find out how many criteria can be added and each criterion has its own weight value and the alternatives will be ranked. After ranking, the results obtained from the calculation of the MOORA and ROC methods are Rama Hutagalung AMa.Pd (A3) with a value of 0.370. These results can facilitate the selection team in making decisions and being selected as the best teacher at SDN 153030 Kedai Gedang 1 Barus District
Penerapan Metode Weighted Product (WP) untuk Menentukan Penerimaan BLT di Desa Rawasari Joko Kuswanto; Ardha Febriyanti Wulandari; Indri Yani; Sheyla Rizky Novanto Samudra; Jum Dapiokta
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 5 (2023): April 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i5.750

Abstract

One of the government's programs to overcome poverty problems is the distribution of Bantuan Langsung Tunai (BLT). Bantuan Langsung Tunai (BLT) is a form of assistance from the government as a form of compensation from the increase in the price of Fuel Oil (BBM). In providing BLT to rural communities in Indonesia, the government has certainly set several criteria in determining who is entitled to receive the assistance.  Therefore, a decision support system is needed that can help provide recommendations for choices in effective and efficient decision making.  The decision support system to be built applies the Weighted Product (WP) method in accordance with administrative assessment criteria and BLT information, so that information can be conveyed quickly and administrative management is more transparent and effective. After searching for vectors to get a BLT, the largest vector value of 0.06006 obtained by Rizki thus Rizki's feasible alternatives became a priority to get BLT-Dana Desa and were recommended in receiving assistance.

Page 12 of 57 | Total Record : 561

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