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All Journal Electron: Jurnal Ilmiah Teknik Elektro Journal of Artificial Intelligence and Digital Business
Alia, Putri Ariatna
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Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering

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Implementation Chatbot on Whatsapp Using Artificial Intelligence With Natural Language Processing Method Alia, Putri Ariatna; Febriana, Rusina Widha; Prayogo, Johan Suryo; Kriswibowo, Rony
ELECTRON Jurnal Ilmiah Teknik Elektro Vol 5 No 1: Jurnal Electron, Mei 2024
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/electron.v5i1.134

Abstract

According to research conducted by we are social in 2023, internet users aged 16 - 64 years 92.1% use whatsapp as a long-distance communication medium. That this is the reason why business conversations switch to using whatsapp social media. In the business process, meetings between buyers and sellers are needed so that buyers can ask about the products they will buy before the goods are purchased by the buyer. Whatsapp is one of the solutions to this problem, but the meeting is virtual. The questions asked by several buyers about the items they want to buy are usually almost the same so the chatbot comes as a solution so that the seller does not have to answer repeatedly for the same questions asked by different buyers. Previous services used admin assistance to answer buyer questions, but this was considered less efficient because buyers could not receive answers to questions quickly, because the admin had another line of work, namely packing goods.  Chattbot can answer questions in real time, so that buyers can receive information directly without waiting. The research method used is the Waterfall System Development Life Cycle (SDLC) which has four stages, namely analysis, design, coding and testing and uses the User Acceptance Testing (UAT) application testing technique. The results of the questionnaire sent to buyers stated that the service using the chatbot average index of 3.71.These results show the Chatbot system is very feasible and effective in helping customers obtain the information needed.
Model Seleksi Beasiswa Multikriteria Menggunakan Metode AHP Sebagai Strategi Promosi di Universitas Anwar Medika Febriana, Rusina Widha; Kriswibowo, Rony; Prayogo, Johan Suryo; Alia, Putri Ariatna
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 5 No. 1 (2026): Februari - April
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v5i1.6273

Abstract

Proses seleksi pemberian beasiswa bagi calon mahasiswa baru di Universitas Anwar Medika memerlukan sistem pengambilan keputusan yang objektif, efisien, dan transparan agar hasil yang diperoleh dapat dipertanggungjawabkan, dikarenakan metode seleksi konvensional berpotensi menimbulkan subjektivitas. Proses seleksi yang beragam muncul karena adanya berbagai kriteria penilaian yang harus dipertimbangkan secara bersamaan. Penelitian ini bertujuan untuk menerapkan metode Analytical Hierarchy Process (AHP) dalam mendukung proses penentuan penerima beasiswa bagi calon mahasiswa baru secara objektif dan terukur di Universitas Anwar Medika. Metode AHP dipilih karena kemampuannya dalam menangani masalah yang melibatkan multikriteria berdasarkan perbandingan berpasangan untuk menentukan bobot prioritas yang rasional. Kriteria yang digunakan dalam seleksi beasiswa meliputi prestasi akademik, kondisi ekonomi, hasil wawancara, dan aktivitas organisasi. Setiap kriteria dianalisis menggunakan matriks perbandingan berpasangan untuk menentukan tingkat kepentingan relatif. Selanjutnya dilakukan pengujian rasio konsistensi guna memastikan keandalan penilian. Bobot kriteria kemudian digunakan untuk menghitung nilai preferensi dan perangkingan calon penerima beasiswa. Hasil dari implementasi AHP menunjukkan bahwa sistem mampu memberikan rekomendasi yang akurat, efisien, dan transparan terhadap calon penerima beasiswa. Dengan menggunakan sistem ini, pihak universitas dapat melakukan seleksi beasiswa secara objektif, adil dan terukur. Penelitian ini diharapkan dapat menjadi acuan dalam pengembangan sistem pendukung keputusan serupa di bidang pendidikan maupun bidang lain yang melibatkan multikriteria.
Co-Authors Febriana, Rusina Widha Kriswibowo, Rony Prayogo, Johan Suryo