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All Journal Jurnal Teknik Mesin, Industri, Elektro dan Informatika Jurnal Penelitian Rumpun Ilmu Teknik
Dila Marta Putri
Institut Teknologi Bisnis Riau
Computer Science & IT Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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Implementasi Teknologi Chatbot sebagai Media Informasi di Universitas Negeri Medan M Ikhsan; Dila Marta Putri; Siti Nurjanah; Asde Rahmawati; Fahrizal Fahrizal; Bastul Wajhi Akramunnas
Jurnal Teknik Mesin, Industri, Elektro dan Informatika Vol. 4 No. 1 (2025): JURNAL TEKNIK MESIN, INDUSTRI, ELEKTRO DAN INFORMATIKA
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jtmei.v4i1.4820

Abstract

Natural Language Processing (NLP) is a branch of Artificial Intelligence (AI) that deals with the interaction between computers and humans through natural language. In general, NLP is applied in various applications, such as language translators, for example Google Translate, and chatbots. This study will discuss further about chatbots with a software development approach using the System Development Life Cycle (SDLC) method. The dataset used in this study was obtained from the website of the State University of Medan (Unimed) and some additional information collected from third parties. Although the State University of Medan has implemented information technology, the response to questions received through the campus's online messaging service is still relatively slow, because until now these questions are still answered manually by the admin. The author and team pay attention to how a university provides information to students and prospective students regarding various questions about the campus and academic environment. Because problems were found in the information service system on the Unimed campus, the researcher provided an information service to solve this problem. This study resulted in an information service in the form of a chatbot for the State University of Medan, with an accuracy rate of around 70%. This chatbot is designed to operate through the Telegram messaging application, so it is expected to increase efficiency in responding to user questions.
Prediksi Kecepatan Angin untuk Mengetahui Potensi Sumber Energi Alternatif menggunakan Model Regresi Lasso: Studi Kasus Kota Makassar pada Tahun 2024 Siti Nurjanah; Yoan Purbolingga; Dila Marta Putri; Asde Rahmawati; Fahrizal Fahrizal; Bastul Wajhi Akramunnas
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 3 No. 1 (2024): Februari : Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v3i1.3501

Abstract

This research explores the potential of wind energy as an alternative energy source in Makassar City. The researcher used daily climate data from BMKG Martim Paotere Meteorological Station Makassar City for 2023 to January 2024. The research method uses the Lasso regression model to predict wind speed. The results of data processing, through tests with an MSE value of 0.334 and an R2 value of 0.97, show the high validity of the model. Wind speed predictions for 2024 were then generated and converted into estimates of the electrical power that could be generated. Based on this prediction, the maximum wind speed reached 10.76 m/s, with the maximum electrical power reaching 1597 Watts. The results of this study indicate that Makassar City has considerable potential to be developed as a Wind Power Plant location as an alternative source of electrical energy. This potential can contribute to reducing dependence on conventional energy in Makassar City.
Co-Authors Asde Rahmawati Bastul Wajhi Akramunnas Fahrizal Fahrizal M Ikhsan Siti Nurjanah Siti Nurjanah Yoan Purbolingga