Articles
Pengaruh Information Overload terhadap Perilaku Penghentian Penggunaan pada Social Networking Service (SNS)
Ayu Pramadita Dewi;
Diah Priharsari;
Nanang Yudi Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 2 (2022): Februari 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya
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The Pandemic of COVID-19, which is a new type of virus, has brought so many changes in any aspects of people's life. The era of pandemic causes everyone to need the latest information. Various sources of digital media can be accessed by everyone to get information. One of the media to get information is Social Networking Service (SNS). The high flow of information that cannot be controlled in SNS causes Information Overload for the users. Information Overload is a condition where the user cannot process the information contained in the SNS because too much information available. The aim of this study is to determine whether Information Overload has an effect on SNS Exhaustion and whether SNS Exhaustion has a positive effect on Discontinuous Usage Of SNS. The technique of data collection in this study is a survey. Data processing in this study using Structural Equation Modeling Covarianced Based (SEM-CB). The use of SEM is to test the relationship between variables. SEM-CB is used to confirm the existing theory from the references of this study. The sample need for this research is the users of SNS who have read informations about COVID-19. From the survey, the sample data obtained in this study were 332 SNS users. The result of this study indicate that Information Overload has an impact on SNS Exhaustion and SNS Exhaustion has an Impact on Discontinuous Usage Of SNS.
Pengaruh Mediasi Information Avoidance pada penghentian penggunaan Social Network Service (SNS)
Muhammad Rayhan Ravandika;
Diah Priharsari;
Nanang Yudi Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 2 (2022): Februari 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya
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Social media is currently almost used by every individual to communicate with friends or collegues. During this pandemic, social media is also used as the main source of information. The ease of access to find information about COVID-19 is one of the reason why every social media user is the main choice to find news. However, the information about COVID-19 on social media is increase everyday and have some bad impact for its users. The impact for cause the users of social media those get too much information can take action to avoid information untul the termination of information sources. From the problem above, the researchers identified the effect of information overload on information avoidance until have an impact on termination. In addition, this study describes the mediating effect of information avoidance on the discontinuance use of social media. This study is using the SEM-CB method by distributing questionnaires to 322 respondents. From the results of the study, all of the hypotheses were accepted with a P-Value of 0,000 and individuals were partially mediated by performing information avoidance actions when experiencing information overload before decided to discontinuous the sources.
Prediksi Potensi Penjualan Makanan Beku berdasarkan Ulasan Pengguna Shopee menggunakan Metode Decision Tree Algoritma C4.5 dan Random Forest (Studi Kasus Dapur Lilis)
Muhammad Ferdyandi;
Nanang Yudi Setiawan;
Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 2 (2022): Februari 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya
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Dapur Kitchen is a micro-business that sells frozen foods in the form of Chicken Nuggets. Kitchen Lilis wants to add new products according to the interests of prospective buyers. However, Kitchen Lilis does not yet know the fact that prospective buyers want frozen food products like what. Therefore, it is necessary to conduct research on frozen food predictions based on data obtained on the Shopee page with frozen food category products. Data obtained a total of 140 data and made decision trees with data partitions 80% training data and 20% test data. The method used is Random Forest and applies the C4.5 Algorithm to each subtree formed. The rule model has an accuracy value of 0.73 for training data and 0.78 for test data. From the calculation of algorithm C4.5 manual use of preservatives has the most influence and from the rule model as many as three subtree, on the first rule of raw material quality, the second rule of the use of MSG, and the third rule of the use of preservatives. The results of the next classification are visualized into a dashboard and to predict products based on features can be executed on a prediction application. Both outputs from the study were tested using the System Usability Scale (SUS) and had a value of 90 which belonged to the category "A" which means the system can be well received by Dapur Lilis.
Pengembangan Aplikasi Pengelolaan Transaksi Warung berbasis Web untuk Tini Mart
Azhari Arsyad;
Ismiarta Aknuranda;
Nanang Yudi Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 3 (2022): Mei 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya
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In the trade sector, transaction management is crucial because if transactions are not managed properly, they can cause considerable losses. This risk is also found in a shop called Tini Mart. Transaction management at these stalls is still traditional, such as providing prices by remembering the price of goods and manually calculating the total price and change. This method has many risks such as giving the wrong price, calculating the total price incorrectly, and giving the wrong amount of change. This can cause losses to the shop and decrease the confidence of buyers in the shop. Now there are several transaction management applications on the market that are freely available but are not suitable for use in Tini Mart. This is because there are functional requirements, such as debt management, and non-functional requirements, such as supporting the interface on a large screen and having a simple, easy-to-understand interface and navigation for users, which are still not met. Therefore, this research was conducted with the aim of developing applications that can meet the requirements that have not been met previously. This application development process model will use the waterfall. The application is built using the Laravel framework with the JavaScript and PHP programming languages. The test results state that all functional requirements of the application have been met because it has a 100% success rate and all non-functional requirements of the application have been met because after observations and interviews there were no obstacles and users can easily use the application.
Klasifikasi Penerima Bantuan Program Keluarga Harapan menggunakan Algoritme Decision Tree C4.5 (Studi Kasus: Desa Mlirip Kabupaten Mojokerto)
Nabilah Iftah Nella;
Nanang Yudi Setiawan;
Dian Eka Ratnawati
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 3 (2022): Mei 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya
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Social assistance is the provision of assistance in the form of money or goods distributed to certain individuals or groups. As a form of responsibility in alleviating poverty, the government allocates costs to handle this, one of which is the Family Hope Program (PKH). PKH is a program to provide cash assistance to poor households. One of the villages that has received PKH assistance from the government is Mlirip village, Mojokerto Regency. With the help of PKH, people with low incomes feel very helpful. Unfortunately, until now PKH is still considered not optimal because many aids are not well targeted and the village head's office does not yet have a reference in choosing a truly worthy family. Classification is carried out to determine the eligibility of PKH beneficiaries so that they are not misdirected. The data used is data for 2020-2021 with a total of 357 data from 7 hamlets in Mlirip village. Based on the results of the confusion matrix, it produces 71.1% accuracy, 90.9% precision, 70.4% recall, and 79.3% f1-score. The results of the classification process are visualized using a dashboard which produces a SUS Score of 87.5 which indicates the dashboard is acceptable to stakeholders
Evaluasi Usability dengan Menerapkan Metode Heuristic Evaluation pada Website Dinas Pendidikan Kota Batu
Heraspati Yudha Pratama;
Buce Trias Hanggara;
Nanang Yudi Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 3 (2022): Mei 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya
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The Batu City Education Office website is a website that provides a means of publishing and providing information and general descriptions regarding the Batu City Education Office. Based on the Regulation of the Minister of Communication and Information of the Republic of Indonesia Number 32 of 2017 concerning the Implementation of Portals and Websites of Government Agencies in Chapter X Monitoring and Evaluation Article 19 Paragraph (3) states "The implementation of monitoring and evaluation is carried out 1 time in 1 year or carried out at any time if needed". And also in the interview process mentioned that the website has never been evaluated. With opportunities based on local regulations, this research took place, for the user interface on the Batu City Education Office website. Because the Department of Education also feels that the appearance and some functions are considered less than satisfactory. In conducting the evaluation process on the website, using the heuristic evaluation method. In the evaluation process, it involves an expert user interface, which has a function in helping and assessing how the website can have a good design according to the heuristic evaluation rules. Before evaluating the need to discuss the problem by interviewing the relevant parties. Furthermore, an evaluation was carried out with the findings of usability problems, namely there were two problems found by the third evaluator. In the evaluation process the evaluator also has an assessment of the Batu City Education Office website with the highest average score of 3.6 for H-6 (Recognition rathen than recall) and the lowest is H-4 (Consistency and standards) with the acquisition of an average value. average 2.45. These findings are improved by making recommendations for improvement by applying the material design by google guidelines. recommendations based on the assessment are tested using a heuristic evaluation involving the same three evaluators in the evaluation process. Tests carried out to obtain these results are by reducing the severity value for each existing problem.
Analisis Kualitatif Penggunaan Background Seragam pada Online Meeting
Rafi Audian;
Diah Priharsari;
Nanang Yudi Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 3 (2022): Mei 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya
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This time, various kinds of activities can be carried out more easily because of the rapid development of technology. The example is when communicating between humans in the world, communication activities can be carried out more easily by using online meeting applications such as Zoom and Google Meet. The application is widely used to conduct video conferences or online meetings because it is easy to use and also had some of interesting features. One of the interesting feature is the feature to change the background of the user's camera view. The feature to change the background is widely used during webinars, work meetings, distance learning, or during other activities that use video conferencing applications or online meetings. In this study, a qualitative analysis will be carried out to determine the background of the use of uniform backgrounds in online meetings and also the views of the online meeting committee on the use of uniform backgrounds. This study involved 21 sources to collect data using interviews. The data that has been collected will be processed using the thematic coding analysis method. From the results of this study, it was found that there were five aspects that became the view of the online meeting committee on the use of uniform backgrounds and six aspects behind the use of uniform virtual backgrounds.
Analisis Prediksi Penjualan Obat Hewan menggunakan Metode Regresi Linier melalui Visualisasi Dashboard (Studi Kasus PT. Satwa Jawa Jaya)
Alya Paramitha Ayuningsih;
Nanang Yudi Setiawan;
Satrio Hadi Wijoyo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 4 (2022): April 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya
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The process of procuring a product in a distributor company is a long process. Starting from placing an order to the supplier, waiting the order confirmation, the product shipping, until the product can be arrived at the warehouse. Regardless of the lengthy process, companies are required to have a sufficient stock of the products despite uncertain customer demands. It makes companies need to predict future sales. PT. Satwa Jawa Jaya is one of the distributors of animal medication that has a similar problem. Therefore, a sales prediction of the product was made using the Linear Regression method. Predictions were made on 16 products from 7 different suppliers. The results of applying Linear Regression are different for each product. Where the Avatec 20% @ 20 KG product has the highest error rate with 86.25 of MAE score while the Barox Liquid @ 210 Liter product has the lowest error rate with 0,84 of MAE score. Furthermore, in order to facilitate PT. Satwa Jawa Jaya's stakeholders in reading the prediction results, a dashboard consist of visualization was created. Through the usability testing that has been carried out, the dashboard got a Sysem Usability Scale score of 72.5. This shows that the usability level of the dashboard belongs to the good and acceptable category. Which means the dashboard is suitable for use by PT. Satwa Jawa Jaya.
Perancangan Perbaikan Proses Bisnis menggunakan Metode Business Process Improvement (BPI) (Studi Kasus: CV. Indomedia Pustaka)
Wildan Arrizal Wahyu Sutomo;
Intan Sartika Eris Maghfiroh;
Nanang Yudi Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 5 (2022): Mei 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya
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CV Indomedia Pustaka was established as a company with a focus on book publishing. In running the business process CV. Indomedia Pustaka has problems with the inconsistency of the completion time for each book to be published. This will pose a risk to the CV publisher. Indomedia Pustaka. To be able to help solve problems, the first thing that needs to be done is to identify business processes in detail to be able to solve existing problems. There are four steps in the identification process: breakdown, modeling with Business Process Model and Notation, fine tuning, and validation (BPMN). Value Added Assessment (VAA) and fishbone diagrams were used to analyze the problem. Simplification is the third step of Business Process Improvement (BPI), and it is determined that six business processes need to be improved. As an additional step, the proposed business process is put through a bizagi modeler simulation comparison to see how much time can be saved by implementing it than the current one. On the recommendation of the manuscript checking business process, an increase of 42.95% was carried out. Recommendations for editing manuscripts also increased by 33.24%. The script layout business process has increased by 3.37%. The recommendation for book cover design decreased by 9.11%. However, the recommendation for author approval experienced a significant increase of 49.95% and the recommended production business process also increased by 8.76%.
Pengelompokan Mahasiswa untuk Pengajuan Bantuan Uang Kuliah Tunggal menggunakan Metode KÂMeans Clustering (Studi Kasus BEM FILKOM UB)
Nourman Hajar;
Nanang Yudi Setiawan;
Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 5 (2022): Mei 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya
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University of Brawijaya (UB) implements single tuition fee (UKT) system based on the students' economic background. Students at FILKOM UB who have difficulties to pay for UKT can apply for UKT aid to the faculty through Advokesma BEM FILKOM who will do selection for the submissions. The large number of data that must be verified in a short time span makes it difficult to select the submission to be recommended. A data clustering system is needed maket UKT aid submission selection easier. Clustering is done using K-Means algorithm using economic condition data of active students in FILKOM UB who enrolled via SNMPTN and SBMPTN. The number of clusters produced is six, based on the number of UKT groups in UB.. Validation test using Calinski-Harabasz index shows that six is the most optimal number of clusters with a score of 74.84. The KÂMeans algorithm groups student data into UKT groupsfor later analysis. The presentation of the results of clustering uses Google Data Studio in the form of a dashboard that presents information on the distribution of data and the results of clustering. Usability testing using System Usability Scale (SUS) produces score of 72.5 which indicates the dashboard is acceptable with a good rating. From the data analysis, Advokesma BEM FILKOM can determine priorities in recommending the UKT aid submission based on the comparison of the student's clustered group and the student's UKT group..