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All Journal Compiler International Journal Software Engineering and Computer Science (IJSECS) Jurnal Informatika
Afwan Anggara
Universitas Teknologi Yogyakarta
Computer Science & IT

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Information System for Course Quotas Forecasting using Trend Analysis Method Afwan Anggara; Widya Setiafindari
Compiler Vol 12, No 1 (2023): May
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/compiler.v12i1.1600

Abstract

Determining the class quota at each period of filling out the KRS (Study Plan Card) at the beginning of the semester is often an activity that cannot be determined easily. It is due to several important factors in it, one of the most influential and difficult things is the uncertainty when determining the quota for the number of students who will take the course, if later there is an error in predicting the number of students who will take the course, then the class quota that is prepared will certainly be less so that it leads to the disruption of the ongoing Student KRS registration process. The method used in this study is predicting using trend analysis which aims to determine how much capacity or inventory is needed for decision-making, then a system will be designed that can be used to predict the number of predicting quotas for courses that will be provided. The system design applies the system development method with UML. The stages of the process are carried out from collecting and processing subject offer quota data several previous academic years. This research has succeeded in building a model to make predictions using the Trend Analysis method, so that it can be used as a recommendation for the number of quotas offered for the next academic year.
Performance Evaluation of RESTful API in Sales Target Monitoring System for Direct Sales and Sales Canvassers Suyud Widiono; Restian Dwi Friwaldi; Afwan Anggara
Jurnal Informatika Vol. 12 No. 2 (2025): October
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/

Abstract

In an increasingly competitive digital era, manual sales target monitoring often leads to delayed information and inefficiency in decision-making. This research aims to develop a web and mobile-based sales target monitoring system integrated with RESTful API to enhance the efficiency of monitoring the performance of direct sales and sales canvassers. The system is developed using the Laravel framework for the back-end and Flutter for the mobile application, with Agile methodology applied in the development process. Testing is conducted using the Black Box Testing method to ensure the accuracy of system functionalities, including user authentication, sales data management, and sales target monitoring. Additionally, load testing is performed using Apache JMeter with scenarios of 500, 750, and 1000 users. The test results show that the system has stable performance with an average response time of 758 ms for 500 users, 762 ms for 750 users, and 880 ms for 1000 users, all below the threshold of 900 ms. The error rate is recorded at 0.00%, and the system throughput exceeds the set target, indicating the system's reliability in handling simultaneous user requests. The conclusion of this research shows that the implementation of RESTful API in the sales monitoring system can improve operational efficiency, enable real-time data exchange, and support faster, data-driven decision-making. As a recommendation, further development could include broader integration with mobile applications and the implementation of AI-based analytics for sales strategy optimization.   
CloudPresence: An Innovative Mobile-Based Teacher Attendance Information System with Firebase Integration David Maulana Putra Pradana; Afwan Anggara
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i3.3130

Abstract

In a dynamic digital era, the efficiency of education management is crucial. This research presents “CloudPresence,” an innovative mobile-based teacher attendance information system that integrates Firebase cloud storage technology and location-based attendance features for SMKN 1 Jatiroto. This system is designed to overcome the limitations of conventional attendance systems, improve accuracy, and ensure the physical presence of teachers at school. The methodology includes requirements analysis, system design with UML, and implementation using mobile technology, Firebase, and location services. Results show significant improvements in attendance accuracy, data management efficiency, and attendance process integrity through location verification. The system offers a comprehensive solution with enhanced data security and real-time accessibility. In conclusion, CloudPresence has the potential to transform school management, drive administrative efficiency, and increase accountability in the education system at SMKN 1 Jatiroto.
Implementation of Android-Based Salon Booking Application for Customer Service Optimization Tegar Bayu Samudra; Afwan Anggara
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i3.3279

Abstract

Most beauty salons are still using manual system to manage booking and customer, which made queue long, record incorrect and customer frustrated. Purpose of this research is to create an Android based Salon booking application for IKA Salon (which fulfill operational needs) and thus increase service quality and enhance the customer satisfaction. This study is done by use of Research and Development (R&D) model which consists needs analysis followed by design development system testing. We built it using Flutter (the framework) and Firebase for real-time storage and management of data. It offers user registration, login, service scheduling(booking), customer data management etc Key findings show that application can resolve some manual problems like also queuing, scheduling improvement and recording errorless operation. Additionally, the app brings major improvements in operations and client happiness. Serving mobile service booking and management of schedule, customer data in real-time makes the application play an optimising role for a salon and help its growth of business
Co-Authors David Maulana Putra Pradana Restian Dwi Friwaldi Suyud Widiono Tegar Bayu Samudra Widya Setia Findari