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                <text>Analysis of Information Technology Governance of the Tasikmalaya&#13;
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                <text> Capability, COBIT 2019, Governance, Information Technology.&#13;
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                <text>— Currently, the success and continuity of a company or organization is very much based on IT, in terms of speed and results&#13;
that can help increase the effectiveness and efficiency of business processes to achieve goals. In its implementation, the Tasikmalaya&#13;
City Manpower Department had problems with software frequently occurring applications error (system failure to operate), while&#13;
problems with the website was the loss and damage of information due to attacks from hackers. To overcome this, the agency does not&#13;
yet have a special section that has full control over IT governance due to the lack of staff or employees who are IT experts. These&#13;
problems can be identified thoroughly with governance using the COBIT 2019 framework. The form and content of the COBIT 2019&#13;
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governance system. By conducting analysis, you can provide recommendations to improve the organization's capabilities to meet the&#13;
agency's expectations and goals regarding IT governance in supporting its performance.Domain The COBIT 2019 used is APO and&#13;
BAI with details of the APO07, APO08, APO13 and BAI08 processes. The results of measuring the capability level of the APO07 domain&#13;
at the Tasikmalaya City Power Service get a capability level 3 value, the APO08 and BAI08 domains get a capability level 2 value, and&#13;
the APO13 domain gets a capability level 1 value. Providing recommendations for improving the agency's information technology&#13;
governance is expected to be able to carry out immediately improving the management of agency information technology so that it&#13;
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                <text>Tasya Nurul Annisa a&#13;
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                <text>Department of Informatics, Universitas Siliwangi, Tasikmalaya, Indonesia&#13;
bDepartment of Information System, Universitas Siliwangi, Tasikmalaya, Indonesia</text>
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                <text>Analysis Of Twitter User Sentiment To Tiktok Shop Using Naïve&#13;
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                <text>Sentiment Analysis ,Tiktok Shop, Twitter, Naïve Bayes dan Decision Tree.</text>
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                <text>The growth of internet users is fantastic, before the pandemic the figure was only 175 million. While the latest data from the&#13;
Asosiasi Penyelenggaraan Jasa Internet Indonesia (APJII), in 2022 internet users in Indonesia will reach around 210 million. One of&#13;
the influences on the increasing number of internet users in Indonesia is the increasing number of buying and selling activities through&#13;
internet media. At this time there are various kinds of e-commerce applications. One of the latest e-commerce in Indonesia is Tiktok&#13;
Shop. Tiktok shop is a new feature of the Tiktok application which was established on April 17, 2021. The development of Tiktok shop&#13;
cannot be separated from the people who use this feature. Many people give opinions about Tiktok Shop on one of the social media,&#13;
namely Twitter. Twitter is a place to get data expressed by the public through tweets posted to the timeline. The data used are tweets&#13;
in Indonesian with a dataset of 1000 tweets. The data is then processed to be analyzed for knowledge. The analysis is done with Naïve&#13;
Bayes and Decision Tree methods. The accuracy results of the Naïve Bayes algorithm are 90% and the Decision tree algorithm is 93%,&#13;
so the Decision Tree algorithm is better for classifying sentiment analysis of twitter users towards Tiktok Shop with a data division of&#13;
90%. </text>
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                <text>Soleh Jafar Sidiq a&#13;
, Andi Nur Rachman*b&#13;
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                <text>https://jurnal.unsil.ac.id/index.php/jaisi/article/view/8990/3011</text>
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                <text> Departmen of Informatics Enginnering, Universitas Siliwangi, Tasikmalaya, Indonesia&#13;
bDepartmen of Informations System, Universitas Siliwangi, Tasikmalaya, Indonesia</text>
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                <text>Development of Warehouse Management System to Manage&#13;
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                <text>Warehouse Management System (WMS); Extreme Programming; Monitoring; realtime; blackbox.</text>
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                <text>— The Warehouse Management System (WMS) is software designed to assist in managing and monitoring warehouse processes.&#13;
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method and implementing a monitoring system to display real-time temperature and humidity measurements. The research addresses issues&#13;
observed in the warehouse operations of PT. Shippindo Teknologi Logistik (Shipper), a warehouse rental services company. The problems&#13;
identified in Shipper's warehouse operations largely stem from human errors. Hence, this research aims to provide a viable solution to&#13;
reduce human errors by implementing various management processes, including inbound and outbound management and tracking, as well&#13;
as visualizing product placement within the racks using rack maps. Additionally, the integration of a temperature and humidity monitoring&#13;
system in the warehouse helps monitor the warehouse's condition in real-time. Testing using the black-box method for WMS in this research&#13;
was successful, demonstrating that the system can execute all functions and display temperature and humidity data as per the designed&#13;
specifications (inbound, mapping, storage, temperature and humidity monitoring, outbound). The average error in temperature and&#13;
humidity measurements is relatively low, with 0.9% for temperature and 1.3% for humidity. However, further development is still required&#13;
to enhance the system for better performance. This includes creating a more robust model for product detection labeling on the storage page&#13;
to improve label accuracy and developing control systems for advanced temperature and humidity monitoring.&#13;
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                <text>Irena Kusuma Dewia&#13;
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                <text>a Department of Informatics, Universitas Siliwangi, Tasikmalaya, 46196, Indonesia&#13;
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and also other supporting facilities. So that an evaluation of information technology governance is needed to determine the capabilities&#13;
possessed by the information technology. This study uses the COBIT 2019 framework using the RACI diagram as a mapping reference&#13;
for observation and questionnaire distribution. The domains used are BAI02 (Managed Requirements Definition), DSS02 (Managed&#13;
Service Requests and Incidents), and MEA01 (Managed Performance and Conformance Monitoring). The results of this study are to&#13;
determine the capability level in each domain so that the current conditions of the Tasikmalaya City DISKOMINFO are obtained. After&#13;
carrying out the analysis, it was found that the service performance from the BAI02 domain was at level 4, the service performance&#13;
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performance measurement made a recommendation to be implemented to increase the value information technology governance in&#13;
accordance with the needs of DISKOMINFO Tasikmalaya City. Capability level objectives can be increased by carrying out activities&#13;
that are not yet optimal by the agency until it reaches the full value for each level.</text>
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                <text>E-commerce in Indonesia is growing very quickly every year. The Ministry of Communication and Information&#13;
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increasing number of internet users in Indonesia is the mushrooming of shopping activities through internet media. This causes internet&#13;
users want everything that instant and easy. Knowing this, most business people use it to market their products, especially in the field&#13;
of goods and services. As it grows, e-commerce becomes easier to use and download. One example of an e-commerce application that is&#13;
in great demand is Shopee and can be downloaded via the Google Play Store. Google Play Store has a review feature which contains&#13;
user comments about the downloaded apps. Sentiment analysis is carried out to extract information related to Shopee E-commerce.&#13;
The Naïve Bayes Classifier algorithm is suitable for use in sentiment analysis because this algorithm is purposeful as a classification&#13;
method into positive and negative categories. The data was used from November 2022 to January 2023. From a total of 4902 review&#13;
data obtained, after going through preprocessing, translation and then classification, the total data is obtained that is 4849 review data.&#13;
From the data obtained it is classified 2348 positive reviews, 1259 neutral reviews, and 1242 negative reviews. Based on the results of&#13;
the naive Bayes classifier method and testing with the confusion matrix, an accuracy value of 79% has been obtainednprecision 77%,&#13;
recall 86%, and f1-score 81% on positive sentiment with support 2127. For neutral sentiment with an accuracy value of 83%, precision&#13;
87%, and recall 85% with support 1209, while for negative sentiment is with an accuracy value of 78%, precision 64%, and recall 70%&#13;
with support 1513. From this data it is obtained micro AVG values for precision 80%, recall 79%, f1-score 79%, and support 4849,&#13;
then for weighted average for precision 79%, recall 79%, f1- score 79%, and support 4849.&#13;
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                <text>Adilia Tri Rizkyaa&#13;
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, Acep Irham Gufronib,*&#13;
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                <text>Informatics Department, Universitas Siliwangi, Tasikmalaya, Indonesia&#13;
b&#13;
Information System Department, Universitas Siliwangi, Tasikmalaya, Indonesia</text>
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                <text>The web-based information world is currently experiencing rapid growth, encompassing interactive, dynamic, and static elements, with&#13;
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development of the education sector. The school profile website from the Ministry of Education and Culture (KEMENDIKBUD) currently only provides&#13;
basic profile features. Due to the lack of information and features on the website, a redesign and further development are necessary. Therefore, this&#13;
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in this redesign and development utilizes the Five Plans method. The creation of a website that aligns with user preferences, combines an attractive&#13;
design, and offers an experience that meets user needs. The design and development of this website will be evaluated using the WEBUSE method.&#13;
WEBUSE (Web Usability Evaluation) is a method for assessing the extent of usability based on a comprehensive usability criteria questionnaire. In the&#13;
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of evaluations using the WEBUSE method, the usability score of the website improved from a usability score of 0.657, falling into the "good" range (0.6&#13;
- 0.8), to a usability score of 0.829, falling into the "excellent" range (0.8 - 1). This score indicates that the website's usability level is excellent,&#13;
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