Pengembangan Mobile based Question Answering System dengan Basis Pengetahuan Ontologi

Penulis

Rajif Agung Yunmar, I Wayan Wiprayoga Wisesa

Abstrak

Informasi terkait kegiatan penerimaan mahasiswa baru (PMB) sesungguhnya telah banyak tersedia pada halaman web maupun brosur. Namun demikian, dimungkinkan terdapat berbagai informasi yang tidak dapat ditemukan secara langsung dalam media tersebut. Penggunaan mesin pencari juga tidak menjamin pengguna untuk mendapatkan informasi atau jawaban yang relevan dengan kebutuhan. Melakukan kunjungan ke kampus seringkali terkendala oleh jarak, waktu, dan jam kerja. Dalam penelitian ini, dikembangkan sebuah question answering system (QAS) terkait penerimaan mahasiswa baru agar pengguna mendapakan informasi yang sesuai dengan kebutuhannya, selalu bernilai benar, dan dapat diakses kapan saja. QAS dibangun dengan arsitektur tree tier dengan aplikasi mobile sebagai antarmuka, memanfaatkan metode pengolahan bahasa alami dalam memproses pertanyaan pengguna, dan ontologi sebagai basis pengetahuannya. Penelitian ini menggunakan model pengembangan SDLC, dengan model analisis yang digunakan yaitu: analisis kebutuhan sistem, analisis rancangan sistem, implementasi sistem, dan pengujian sistem. Pengujian terhadap sistem dilakukan dengan beberapa cara, yaitu: usability testing, dan pengujian akurasi jawaban. Pengujian menunjukkan QAS yang dibangun dapat diimplementasikan dengan baik sesuai dengan kebutuhan dengan akurasi jawaban sebesar 82.14%.

 

Abstract

The information regarding student admissions and related activities can be found and widely available on website or brochures. However, it is possible that the relevant information cannot be found directly from the media. The use of search engines also doesn’t guarantee users to get the relevant answer or information that satisfy their needs. Visiting the campus is often constrained by distance, time or working hours. In this study, a question answering system related to student admissions was developed so that users get the information that fits thier need, always give the correct answers, and can be accessed anytime. The QAS is built with a tree tier architecture with a mobile application as an interface. Natural language processing methods uses to process user questions, and ontology uses as the knowledge base. This study uses the SDLC development model, with the analysis model used namely: system requirements analysis, system design analysis, system implementation, and system testing. Testing the system is done by several ways, namely: usability testing, and test the accuracy of answers. The tests shows that the QAS can successfully implemented according to the requirement, with the accuracy of answer is 82.14%.

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Referensi


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DOI: http://dx.doi.org/10.25126/jtiik.2020742255