cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Andi Nur Rachman
Contact Email
andy.rachman@unsil.ac.id
Phone
+628997771637
Journal Mail Official
jaisi@unsil.ac.id
Editorial Address
Department of Information Systems, Faculty of Engineering, Siliwangi University Tasikmalaya email: jaisi@unsil.ac.id Jalan Siliwangi No. 24 Kelurahan Kahuripan Kecamatan Tawang Kota Tasikmalaya 46115
Location
Kota tasikmalaya,
Jawa barat
INDONESIA
International Journal of Applied Information Systems and Informatics
Published by Universitas Siliwangi
ISSN : -     EISSN : 3031254X     DOI : https://doi.org/10.37058/jaisi
Core Subject : Science,
Computer Science & IT
International Journal of Applied Information Systems and Informatics (JAISI) is an international journal in Information Systems and Informatics as a forum for research publications that are systematically arranged based on clear background, appropriate methods, well presented research results, as well as concise conclusions and reference sources appropriate. Journal of Applied information Systems and Informatics (JAISI) published every 2 (two) times in a year on Mei and November.. JAISI has open access for public so that articles are published online and can be accessed for free without having to subscribe. Articles submitted must be written in English for initial review by the editor and further review by the reviewer. JAISI is managed by the Information Systems Department, Faculty of Engineering, Siliwangi University.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 6 Documents
 1 
Search results for , issue "Vol 1, No 1 (2023): November 2023" : 6 Documents clear
Development of Warehouse Management System to Manage Warehouse Operations Kusuma Dewi, Irena; Nur Shofa, Rahmi
Journal of Applied Information System and Informatic (JAISI) Vol 1, No 1 (2023): November 2023
Publisher : Deparment Information System, Siliwangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jaisi.v1i1.8991

Abstract

The Warehouse Management System (WMS) is software designed to assist in managing and monitoring warehouse processes. The purpose of this research is to improve warehouse operational management by developing a WMS using the Extreme Programming method and implementing a monitoring system to display real-time temperature and humidity measurements. The research addresses issues observed in the warehouse operations of PT. Shippindo Teknologi Logistik (Shipper), a warehouse rental services company. The problems identified in Shipper's warehouse operations largely stem from human errors. Hence, this research aims to provide a viable solution to reduce human errors by implementing various management processes, including inbound and outbound management and tracking, as well as visualizing product placement within the racks using rack maps. Additionally, the integration of a temperature and humidity monitoring system in the warehouse helps monitor the warehouse's condition in real-time. Testing using the black-box method for WMS in this research was successful, demonstrating that the system can execute all functions and display temperature and humidity data as per the designed specifications (inbound, mapping, storage, temperature and humidity monitoring, outbound). The average error in temperature and humidity measurements is relatively low, with 0.9% for temperature and 1.3% for humidity. However, further development is still required to enhance the system for better performance. This includes creating a more robust model for product detection labeling on the storage page to improve label accuracy and developing control systems for advanced temperature and humidity monitoring.
Evaluation of Information Technology Governance at DISKOMINFO Tasikmalaya City Using COBIT 2019 Rachmasari Biduri, Nadia; Ramdani, Cecep Muhamad Sidik
Journal of Applied Information System and Informatic (JAISI) Vol 1, No 1 (2023): November 2023
Publisher : Deparment Information System, Siliwangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jaisi.v1i1.8992

Abstract

The Office of Communication and Informatics (DISKOMINFO) is an agency engaged in the fields of communication, informatics, coding and statistics. Based on the results of interviews with the Head of Application and Informatics DISKOMINFO Tasikmalaya City, it is known that there are obstacles related to limited resources. Starting from human resources, equipment, budget, and also other supporting facilities. So that an evaluation of information technology governance is needed to determine the capabilities possessed by the information technology. This study uses the COBIT 2019 framework using the RACI diagram as a mapping reference for observation and questionnaire distribution. The domains used are BAI02 (Managed Requirements Definition), DSS02 (Managed Service Requests and Incidents), and MEA01 (Managed Performance and Conformance Monitoring). The results of this study are to determine the capability level in each domain so that the current conditions of the Tasikmalaya City DISKOMINFO are obtained. After carrying out the analysis, it was found that the service performance from the BAI02 domain was at level 4, the service performance from the DSS02 domain was at level 2, and the service performance from the MEA01 domain was at level 3. The results of this service performance measurement made a recommendation to be implemented to increase the value information technology governance in accordance with the needs of DISKOMINFO Tasikmalaya City. Capability level objectives can be increased by carrying out activities that are not yet optimal by the agency until it reaches the full value for each level.
Implementation of the Naive Bayes Classifier for Sentiment Analysis of Shopee E-Commerce Application Review Data on the Google Play Store Rizkya, Adilia Tri; Rianto, Rianto; Gufroni, Acep Irham
Journal of Applied Information System and Informatic (JAISI) Vol 1, No 1 (2023): November 2023
Publisher : Deparment Information System, Siliwangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jaisi.v1i1.8993

Abstract

E-commerce in Indonesia is growing very quickly every year. The Ministry of Communication and Information (KEMKOMINFO) stated that Indonesia is the 10th largest e-commerce growth country with score 78%. One of the effects from increasing number of internet users in Indonesia is the mushrooming of shopping activities through internet media. This causes internet users want everything that instant and easy. Knowing this, most business people use it to market their products, especially in the field of goods and services. As it grows, e-commerce becomes easier to use and download. One example of an e-commerce application that is in great demand is Shopee and can be downloaded via the Google Play Store. Google Play Store has a review feature which contains user comments about the downloaded apps. Sentiment analysis is carried out to extract information related to Shopee E-commerce. The Naïve Bayes Classifier algorithm is suitable for use in sentiment analysis because this algorithm is purposeful as a classification method into positive and negative categories. The data was used from November 2022 to January 2023. From a total of 4902 review data obtained, after going through preprocessing, translation and then classification, the total data is obtained that is 4849 review data. From the data obtained it is classified 2348 positive reviews, 1259 neutral reviews, and 1242 negative reviews. Based on the results of the naive Bayes classifier method and testing with the confusion matrix, an accuracy value of 79% has been obtainednprecision 77%, recall 86%, and f1-score 81% on positive sentiment with support 2127. For neutral sentiment with an accuracy value of 83%, precision 87%, and recall 85% with support 1209, while for negative sentiment is with an accuracy value of 78%, precision 64%, and recall 70% with support 1513. From this data it is obtained micro AVG values for precision 80%, recall 79%, f1-score 79%, and support 4849, then for weighted average for precision 79%, recall 79%, f1- score 79%, and support 4849.
Analysis of Information Technology Governance of the Tasikmalaya City Manpower Service Using Framework COBIT 2019 Nurul Annisa, Tasya; Sulastri, Heni
Journal of Applied Information System and Informatic (JAISI) Vol 1, No 1 (2023): November 2023
Publisher : Deparment Information System, Siliwangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jaisi.v1i1.8989

Abstract

Currently, the success and continuity of a company or organization is very much based on IT, in terms of speed and results that can help increase the effectiveness and efficiency of business processes to achieve goals. In its implementation, the Tasikmalaya City Manpower Department had problems with software frequently occurring applications error (system failure to operate), while problems with the website was the loss and damage of information due to attacks from hackers. To overcome this, the agency does not 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 problems can be identified thoroughly with governance using the COBIT 2019 framework. The form and content of the COBIT 2019 model are updated from the previous COBIT method and many new functions are added, including enabling improvements to the IT governance system. By conducting analysis, you can provide recommendations to improve the organization's capabilities to meet the agency's expectations and goals regarding IT governance in supporting its performance.Domain The COBIT 2019 used is APO and BAI with details of the APO07, APO08, APO13 and BAI08 processes. The results of measuring the capability level of the APO07 domain at the Tasikmalaya City Power Service get a capability level 3 value, the APO08 and BAI08 domains get a capability level 2 value, and the APO13 domain gets a capability level 1 value. Providing recommendations for improving the agency's information technology governance is expected to be able to carry out immediately improving the management of agency information technology so that it immediately reaches the expected level of capability.
Designing UI/UX For SDN 1 Sukamulya Ciamis Website Using the Five Planes and WEBUSE Methodologies Gumilah, Dena Surya; Rachman, Andi Nur; Aldya, Aldy Putra
Journal of Applied Information System and Informatic (JAISI) Vol 1, No 1 (2023): November 2023
Publisher : Deparment Information System, Siliwangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jaisi.v1i1.8994

Abstract

The web-based information world is currently experiencing rapid growth, encompassing interactive, dynamic, and static elements, with educational institutions being one of its prominent users. It provides swift and precise information services, contributing significantly to the fundamental development of the education sector. The school profile website from the Ministry of Education and Culture (KEMENDIKBUD) currently only provides basic profile features. Due to the lack of information and features on the website, a redesign and further development are necessary. Therefore, this research, based on interviews with relevant parties such as SDN 1 Sukamulya, calls for a redesign and development of the website. The approach taken in this redesign and development utilizes the Five Plans method. The creation of a website that aligns with user preferences, combines an attractive design, and offers an experience that meets user needs. The design and development of this website will be evaluated using the WEBUSE method. WEBUSE (Web Usability Evaluation) is a method for assessing the extent of usability based on a comprehensive usability criteria questionnaire. In the UI/UX design phase, the Five Planes method was applied, and after the design phase, the website's feasibility was assessed using the WEBUSE method. This research successfully designed a website for SDN 1 Sukamulya by applying the Five Planes method in the design process. Based on the comparison 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 - 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, demonstrating that the design and development efforts have successfully provided an outstanding user experience.
Analysis Of Twitter User Sentiment To Tiktok Shop Using Naïve Bayes And Decision Tree Algorithms Jafar Sidiq, Soleh; Nur Rachman, Andi
Journal of Applied Information System and Informatic (JAISI) Vol 1, No 1 (2023): November 2023
Publisher : Deparment Information System, Siliwangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jaisi.v1i1.8990

Abstract

The growth of internet users is fantastic, before the pandemic the figure was only 175 million. While the latest data from the Asosiasi Penyelenggaraan Jasa Internet Indonesia (APJII), in 2022 internet users in Indonesia will reach around 210 million. One of the influences on the increasing number of internet users in Indonesia is the increasing number of buying and selling activities through internet media. At this time there are various kinds of e-commerce applications. One of the latest e-commerce in Indonesia is Tiktok Shop. Tiktok shop is a new feature of the Tiktok application which was established on April 17, 2021. The development of Tiktok shop cannot be separated from the people who use this feature. Many people give opinions about Tiktok Shop on one of the social media, namely Twitter. Twitter is a place to get data expressed by the public through tweets posted to the timeline. The data used are tweets in Indonesian with a dataset of 1000 tweets. The data is then processed to be analyzed for knowledge. The analysis is done with Naïve Bayes and Decision Tree methods. The accuracy results of the Naïve Bayes algorithm are 90% and the Decision tree algorithm is 93%, so the Decision Tree algorithm is better for classifying sentiment analysis of twitter users towards Tiktok Shop with a data division of 90%. 

Page 1 of 1 | Total Record : 6

 1 

Filter by Year

2023 2023


Reset
Filter By Issues
All Issue Vol 3, No 2 (2025): November 2025 Vol 3, No 1 (2025): MEI 2025 Vol 2, No 2 (2024): November 2024 Vol 2, No 1 (2024): Mei 2024 Vol 1, No 1 (2023): November 2023