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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 68 Documents
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Search results for , issue "Vol. 4 No. 1 (2023): Agustus 2023" : 68 Documents clear
Kombinasi Fuzzy Sugeno dan Profile Matching Dalam Pemilihan Pestisida Tanaman Padi Berbasis Android Alpath Abimanyu; Muhammad Fakhriza; Muhammad Dedi Irawan
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 1 (2023): Agustus 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i1.938

Abstract

Rice is a plant that is very susceptible to attack by pests. There are various types of pests that can attack rice. Each attack has different symptoms and of course will require different pesticide handling, so a decision support system is needed in choosing the right pesticide. Pesticides are currently very important in their use in a plant, especially in rice plants. Farmers in Rumbia Village really need pesticides for their rice plants. So that the rice they plant is not attacked by pests which causes the rice to fail to harvest. The choice of pesticides greatly affects the yields of rice plants for farmers in Rumbia Village. However, farmers in Rumbia Village have not been optimal in determining the best pesticides for rice plants. The purpose of this study is to determine a decision support system in selecting the best pesticides for rice plants. By using the Fuzzy Sugeno algorithm and Profile Matching in determining the calculation of the best pesticide yields on rice plants. The system was built using the programming language Java, PHP and MySQL as the database. Meanwhile, in developing the system, the writer uses the Rapid Application Development and Unified Modeling Language (UML) methods as system design. The final results of this study are a decision support system for selecting the best pesticides for rice plants in Rumbia village based on android that can be used by the community, especially for them. Farmers in Rumbia Village in choosing pesticides for their rice plants.
Analisis Sentimen Twitter Terhadap Perpindahan Ibu Kota Negara Ke IKN Nusantara Menggunakan Orange Data Mining Hafizh Dhery Al Assyam; Firman Noor Hasan
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 1 (2023): Agustus 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i1.957

Abstract

This study uses text mining which involves changing unstructured text to be structured and can be processed by a computer. In order to recognize important new patterns and ideas, several analytical techniques are used, including the text clustering method, Naive Bayes, and Support Vector Machines (SVM). Text Clustering analysis technique, which involves cluster analysis of text-based documents, can assist in categorizing and understanding unstructured text data using machine learning technology and Natural Language Processing (NLP) used in this process. This study aims to evaluate the community's response to the relocation of the national capital to Kalimantan. after going through the cleansing process, namely cleaning punctuation and characters, Transform Case, namely changing letters to lowercase, Tokenization is the process of dividing text sentences or paragraphs into certain parts, Stopwords Reducing the index in the text by removing some verbs, adjectives and other adverbs . The results of the analysis will be displayed in the form of a word cloud with words dominated by Indonesian and then Indonesian and distribution tables. The researcher collects 100 data via Twitter to become a dataset. The results of sentiment analysis with the Naive Bayes Classifier algorithm obtained results, namely 6 forms of emotion which were dominated by surprise (80%) and joy (50%), sadness (15% Sadness), fear (Fear) 10%, disgust (Disgust). ) 0% , angry (Anger) 0%.
Naïve Bayes Classifier and Decision Tree Algorithms for Classifying Payment Data Berti Sari Br Sembiring; Mahdianta Pandia; Harianta Sembiring; Desi Margaretta
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 1 (2023): Agustus 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i1.963

Abstract

In this study the authors will analyze the comparison of the naïve Bayes classifier and decision tree methods in the classification of transaction data types of payments that are often made by customers where the method will analyze which model has the best percentage. The author uses the Kaggle deals payment data set. The data mining methods used to classify data are naïve Bayes classifier, decision tree, and rule based. For this study the Naïve Bayes Classifier method will be used. The results of the research on the accuracy of data classification using a decision tree have an accuracy value of 95.60%. where the predicted data yes with yes answers totaled 232 and answer no 17 with a class precision value of 93.17%. While the predictions for no with yes answers totaled 5 and for answers no totaled 246 with a class precision value of 93.17%. Based on the results of research using the naïve Bayes classifier and decision tree, it is possible to classify data on types of deals payment based on age ranges with different accuracies. From the percentage results, the decision tree method has the highest or best percentage with a value of 95.60%, while the Naïve Bayes classifier has a value of 92.20%.
Optimization of the K-Means Clustering Algorithm Using Davies Bouldin Index in Iris Data Classification Devanta Abraham Tarigan Devanta
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 1 (2023): Agustus 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i1.964

Abstract

Data grouping is done by calculating the shortest distance to the initial cluster center point as the central point in the formation of each group or cluster. The results of the K-Means optimization study with the Davies Bouldin Index k-means clustering by dividing the cluster values 3,5,7,9. In testing the K-3 cluster values, the performance value of the average centroid distance is -0.312, then the K-Means optimization results with Davies Bouldin have a performance percentage of -0.799. Testing the value of the K-5 cluster has a performance value of an average centroid distance of -0.310, then the K-Means optimization results with Davies Bouldin have a performance percentage of -0.806. Testing the value of the K-7 cluster has a performance value of an average centroid distance of -0.310, then the K-Means optimization results with Davies Bouldin have a performance percentage of -0.806. Testing the K-9 cluster values has a performance value of an average centroid distance of -0.310, then the results of the K-Means optimization with Davies Bouldin have a performance percentage of -0.806. From the test results with variations in cluster values 3,5,7,9 it can be concluded that the optimization of the K-Means method with the Davies Bouldin Index testing the K-3 cluster values has better performance with an average value of -0.312 centroid distance then the results of K-optimization Means with Davies Bouldin has a performance percentage: -0.799.
Perancangan Sistem Informasi Penjualan Berbasis Website Menggunakan Framework CodeIgniter Rafli Erlangga; Arry Avorizano
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 1 (2023): Agustus 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i1.973

Abstract

Toko Ammar Market is a store that sells basic necessities on Jalan Wailola, Bula City, Maluku. However, in the current data processing system, finding information such as inventory counts, sales figures, and transaction records can be a hassle because it still relies on human processes or manual methods. To overcome this problem, researchers recommend creating a website-based sales information system that can help Ammar Market Stores manage data and facilitate sales transactions in their business. In developing this system, researchers used the CodeIgniter framework and applied the waterfall development method. This designed information system has significant benefits in increasing the efficiency of store operations. By using this information system, the time needed to enter sales data and prepare reports becomes easier, so that store staff can focus more on other more important activities. In addition, the use of this information system also reduces the possibility of human error and provides management with more accurate information for decision-making. With this system, the error rate in data processing by staff can be reduced, and the process of processing employee data becomes smoother and more efficient. In other words, this sales system provides convenience and efficiency in transaction and data management that contributes to better store performance
Rancang Bangun Sistem Informasi Pendataan Obat Pada Apotek Berbasis Website Indra Ramadhan; Hibatullah Faisal; Firman Noor Hasan
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 1 (2023): Agustus 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i1.979

Abstract

Wailola Farma Pharmacy is a type of business in the field of health services. This pharmacy provides various products or types of medicines ranging from common drugs to hard drugs that must use a doctor's prescription. This pharmacy also provides examination services for several diseases such as cholesterol, uric acid, high blood pressure, and diabetes. Established in 2014 in Bula District, East Seram Regency, Maluku Province. The problem that occurs is that the system is still done manually, such as checking drug stocks one by one. Thus, if the customer wants to buy medicine, the employee must check the stock of medicine directly to the warehouse.  Sales data collection still uses a notebook. This research involves comprehensive stages in the system development process, starting from understanding user needs, analyzing needs, system design, to implementation and testing. The method used is the waterfall method, this method follows a structured, sequential, and gradual process starting from the communication process, followed by the planning process, then the modeling process, the construction process and ending with the implementation process. The result of the research is a drug data collection information system in a pharmacy that displays a main page interface that can make it easier for employees to monitor daily reports on drug purchases and sales, displays a drug page interface that can easily manage drug data, displays a supplier page interface to manage supplier data, make drug purchases to suppliers on the purchase page, and make drug sales on the sales page. In addition, this system also ensures data security by storing it online in a database. The existence of this information system positively contributes to improving services to consumers. This information system has passed the black box testing stage
Adoption of Opacity-based Graphical Highlights as a Representation of Structured Assurance Case Metamodel ArgumentGroup M Haikal Abdussalam; Nungki Selviandro; Gia Septiana Wulandari
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 1 (2023): Agustus 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i1.987

Abstract

An assurance case is a means of facilitating communication, analysis and information exchange between stackholders involved in the system security and application development process, depending on its purpose and context. There are several frameworks that can be used when creating assurance cases, one of which is the Structured Assurance Case Metamodel Notation (SACMN), which has a more expressive notation than other frameworks. When creating an assurance case, it is necessary to consider the ArgumentGroup, where all elements are categorised as a group. The SACMN ArgumentGroup has been represented visually using dotted lines and there are still shortcomings in the process of understanding assurance cases and their visualisation. Thus, the opacity-based graphical highlighting technique is an alternative in visually representing the ArgumentGroup by manipulating the opacity on the notation of relevant or irrelevant elements. Therefore, this research was conducted with the aim of observing users in terms of speed, effectiveness and accuracy in answering statements with perceived usefulness, perceived ease of use of ArgumentGroup in SACMN applications and development of existing SACMN applications. Based on the research conducted, it can be seen that the results of the questionnaire testing in relation to the user statements of ArgumentGroup in terms of perceived usefulness and perceived ease of use have a value of 0.705 and 0.727, which are included in the reliable category as a valid questionnaire. With a reliable and valid questionnaire, the results obtained from users using opacity highlights have better scores than dotted lines and can be categorised as successful for adoption as a visual representation of ArgumentGroup SACMN with the highest scores of 25 and 20
Penerapan Fuzzy C-Means Pada Klasterisasi Penerima Bantuan Pangan Non Tunai Sola Huddin; Elin Haerani; Jasril Jasril; Lola Oktavia
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 1 (2023): Agustus 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i1.988

Abstract

One of the social assistance programs routinely provided by the government to Beneficiary Families (KPM) to overcome poverty problems in Indonesia at this time is Non-Cash Food Assistance (BPNT). The Pekanbaru City Social Service itself in distributing BPNT still experiences obstacles, such as the provision of assistance that is less targeted due to the absence of a system that is able to determine the recipient of aid appropriately. This research applies the Fuzzy C-Means Clustering method to analyze KPM data using MATLAB tools. This algorithm allows overlap between data groups and classifies KPM based on their characteristic patterns. This algorithm takes into account the membership level of each data in each group, thus providing more flexible results and not categorizing data rigidly. The results of the application of the FCM Clustering method in this study form two clusters, where the first cluster contains 331 data while in the second cluster there are 351 data. Testing the results of FCM clustering conducted using the Silhouette Coefficient method produces an average coefficient value of 0.426653079. Based on the value of the test results that have been carried out, the FCM algorithm is considered capable of forming clusters on BPNT data
Usability Testing Menggunakan Metode Heuristik dan End User Computing Satisfaction Pada Website Ikan Hias Menteng Mauludani Muhammad; Agung Triayudi; Agus Iskandar
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 1 (2023): Agustus 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i1.991

Abstract

Ornamental Fish Menteng is a website that provides information services located in Sumenep Menteng. With the Menteng Ornamental Fish website, website visitors can get information on the ornamental fish they are looking for to visit, with information and recommendations and prices for ornamental fish. In this review, the authors dissect the satisfaction level of using the ornamental fish menteng website with a comparison of the Heuristic Evaluation method and the End User Computing Satisfaction (EUCS) method to find the usability level of the ornamental fish menteng website. Where in the Heuristic Evaluation method a score of 9.118 is obtained while the End User Computing Satisfaction method obtains a score of 9.292. From a comparative analysis of usability levels, the authors get recommendations in an effort to improve websites. What needs to be considered, among others, are the Aesthetic and Minimalist Design variables, the Helping users variable and the Timeliness variable.
Sistem Informasi Pendataan Pelayanan Kesehatan Penderita Diabetes Mellitus Menggunakan Metode Online Analytical Processing (OLAP) Mochammad Januar Finandi; Fauziah Fauziah; Ira Diana Sholihati
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 1 (2023): Agustus 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i1.994

Abstract

In the era of globalisation, the impact is felt in various fields, including the epidemiology of infectious diseases, which has decreased, and non-communicable diseases (NCDs), which have increased. One of the most prevalent NCDs is diabetes, with a prevalence of 1.74% in the population aged 15 years and over, according to a doctor's diagnosis. According to the Depok City Health Office, diabetes is among the top 10 non-communicable diseases. The number of diabetes patients in all health centres in Depok is around 27,000 people. With this background, it is important to develop an application using online analytical processing (OLAP) techniques that displays data from each sub-district in Depok City. This application helps to retrieve data and information on how to prevent and manage diabetes, as well as provide useful information for diabetes patients. Based on the test results, the application accuracy is 80.85% when tested using the Web Application Penetration Testing (WAPT) method, and the average time required to retrieve service data is 0.030168182 seconds, and the average time required to retrieve patient data using the sequential search method is 0.025498182 seconds

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