Article Per Year (5 Year)
p-Index From 2021 - 2026
2.949
P-Index
This Author published in this journals
All Journal Journal of Economic, Bussines and Accounting (COSTING) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) CCIT (Creative Communication and Innovative Technology) Journal Jurnal ICT : Information Communication & Technology International Journal Software Engineering and Computer Science (IJSECS) Journal of International Conference Proceedings Padma: Jurnal Pengabdian Kepada Masyarakat GEMBIRA (Pengabdian Kepada Masyarakat)
Pasaribu, Johni S
Politeknik Piksi Ganesha
Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences Other

Published : 21 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 21 Documents
Search

 1   2   3 
Student Aspiration Processing Information System with Sentiment Analysis at Piksi Ganesha Polytechnic Maulidia Tuzahra; Johni S Pasaribu
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 3 (2025): DECEMBER 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i3.5719

Abstract

Student aspirations play an important role as a means of two-way communication to improve the quality of academic and non-academic services in higher education. However, manual aspiration submission systems often result in delays in follow-up and a lack of documentation. This study aims to design and implement a web-based student aspiration processing information system integrated with sentiment analysis. The development method used is Waterfall, with stages of requirements analysis, design, implementation, testing, and maintenance. The implementation was carried out using the PHP programming language and MySQL database. The main features of the system include registration, login, feedback form, feedback list, admin replies, and lexicon-based sentiment analysis. Testing using Black Box Testing showed that all functions ran according to user requirements (100% success rate), with an average system response time of 2.7 seconds and a user satisfaction rate of 92%. This system is capable of classifying aspirations into positive (46%), negative (38%), and neutral (16%) categories, thereby facilitating the evaluation of campus services. This research proves that the system is capable of accelerating the handling of aspirations by up to 40% compared to manual mechanisms and supports decision-making based on sentiment data.
Co-Authors Abdussalaam, Falaah Adhita Arif Setyawan Annisa Ulfah Anwar Sadad Ardi Taryanto Arul sofyan Arum Tamtami Ayu Lestari Wulandari D.yani Delisa Aprilia Djulwini Fred Dachi Hevalda Eppa Irda Sari Jeri Sukmawijaya Johnson Sihombing Karyadi Maulidia Tuzahra Muhamad Roni Muthmainnah Muthmainnah Nur Azizah Amaliatu Rizqi Nurul Anisa Osama Osama Po Abas Sunarya Pratiwi Putri Lailatul Nikmah Rizwan Azqi Zaenudin Azis Roni Surahman Silvia elianti Elianti Yunita Kristiyono