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Sistem Informasi Booking Lapangan Badminton dengan Fitur Find Match Menggunakan Framework Laravel pada Gor Pratama Muhammad Edo Wardaya, Edo; Ilham Aristanto; Wendy Asswan Cahyadi
Jurnal Teknorama (Informatika dan Teknologi El Rahma) Vol. 3 No. 2 (2025): Jurnal Teknorama (Informatika dan Teknologi El Rahma)
Publisher : Sekolah Tinggi Ilmu Komputer El Rahma

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Abstract

This study aims to develop a Badminton Court Reservation Information System with the Find Match feature using the Laravel framework at Gor Pratama. The problem encountered is the lack of complete information for prospective customers when making reservations, especially regarding court schedules. This results in customers always having to inquire about court availability on their desired date and time before making a reservation. The high number of similar questions simultaneously can make it difficult for field managers to determine schedules, especially because the scheduling process is still manual and requires repeated writing or changes to existing schedules. Furthermore, there is also the possibility that customers do not have friends or opponents to play with before making a reservation. In this study, the Big Bang Model software development method was used using UML as the system development model. Software testing was conducted through black-box testing. Research data was collected through observation, interviews, and literature review. The results show that the Badminton Court Reservation Information System with the Find Match feature successfully facilitates the process of booking courts, creating schedules, and providing options for customers who do not have friends to play with.
IMPLEMENTASI SISTEM INFORMASI POIN REWARD MEDIA SOSIAL CV KINAYA JAYA BERBASIS CODEIGNITER 3: IMPLEMENTASI SISTEM INFORMASI POIN REWARD MEDIA SOSIAL CV KINAYA JAYA BERBASIS CODEIGNITER 3 Jamallulail, Muhammad Hasan; Wendy Asswan Cahyadi; Suhendra Anjar Dinata
Jurnal Teknorama (Informatika dan Teknologi El Rahma) Vol. 3 No. 2 (2025): Jurnal Teknorama (Informatika dan Teknologi El Rahma)
Publisher : Sekolah Tinggi Ilmu Komputer El Rahma

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Abstract

This study applies web-based Information System technology for calculating reward points on social media posts at CV Kinaya Jaya Keke Busana. The research method used is Research and Development, while the system development applies the Waterfall approach. The system is built with PHP 7.4.3 and the CodeIgniter 3 framework to facilitate the management of reward point calculations and daily operational integration. The results of functional testing using Black Box on 12 main components show that all scenarios run well without bugs or validation failures. The feasibility of the system is tested with User Acceptance Testing based on ISO/IEC 25010 which produces a high average score on four main dimensions, namely Functionality 87.90 percent, Reliability 85.52 percent, Usability 87.62 percent, and Efficiency 89.33 percent. The construct validity test meets the requirements of r count greater than r table 0.433 and p less than 0.05, while the reliability of the instrument produces Cronbach's Alpha 0.816 for Functionality and 0.823 for Reliability. These findings confirm that the system is effective, reliable, and user-acceptable for reward point management needs in a corporate environment.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN LAPTOP BERBASIS WEB MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING Arliyandi; Wendy Asswan Cahyadi; Suhendra Anjar Dinata
Jurnal Teknorama (Informatika dan Teknologi El Rahma) Vol. 3 No. 2 (2025): Jurnal Teknorama (Informatika dan Teknologi El Rahma)
Publisher : Sekolah Tinggi Ilmu Komputer El Rahma

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Abstract

Continuously evolving technology influences consumer preferences in choosing a laptop, often faced with complex information and numerous choices. This study aims to develop and test a web-based decision support system using the Simple Additive Weighting (SAW) method, designed to assist consumers in selecting a laptop that suits their needs. Testing was conducted to measure the system's accuracy and efficiency in providing relevant recommendations. The results show that the system can provide accurate recommendations based on user preferences, supporting more personalized laptop selection decisions.
PENERAPAN DATA MINING DALAM PENENTUAN JURUSAN SISWA DENGAN METODE KLASIFIKASI ALGORITMA C4.5 STUDI KASUS SMAN 1 LEUWISADENG Wendy Asswan Cahyadi; Deni Muharam; Samsuri Yahya
Jurnal Teknorama (Informatika dan Teknologi El Rahma) Vol. 4 No. 1 (2026): Jurnal Teknorama (Informatika dan Teknologi El Rahma)
Publisher : Sekolah Tinggi Ilmu Komputer El Rahma

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Abstract

The majoring of students in Senior High Schools (SMA) in the 2013 Curriculum is carried out when new students enter class Often students experience confusion in choosing subjects, due to students' lack of understanding of the subjects they will take. To overcome this, SMAN 1 Leuwisadeng opened direct consultations with BP/BK teachers to provide direction in choosing majors according to students' interests and abilities. However, the major system at SMAN 1 Leuwisadeng is still done manually. As technology develops, this can be overcome with data grouping techniques obtained from data mining results. Data mining is an activity that includes collecting, using data, history to find regularities, patterns or relationships in large data sets [1]. In this research, researchers used the C4.5 algorithm to predict students in determining the direction they would take. The accuracy results obtained in this program were 92.31%. Thus it can be concluded that data mining using the C4.5 Algorithm classification method can speed up the process for all students.