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All Journal JURNAL PENDIDIKAN TAMBUSAI Society: Jurnal Pengabdian Masyarakat
Andharani, Yana
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Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Social Sciences

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Utilization of Machine Learning for Property Price Segmentation and Prediction Andriansyah, Akbar; Dzulkarnain, Mulki Djenfik; Afkarinah, Afni Izzah; Amili, Fadel; Ramadhika, Gilang; rosanti, Nurvelly; Ambo, Siti Nurbaya; Andharani, Yana; Sutrisno, Mirza
Society : Jurnal Pengabdian Masyarakat Vol 4, No 2 (2025): Maret
Publisher : Edumedia Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55824/jpm.v4i2.537

Abstract

Advances in digital technology have encouraged the utilization of artificial intelligence, especially machine learning, in various sectors, including property price analysis. However, there are still many people who do not understand the basic concepts of this technology, so structured and applicable education is needed. To answer this challenge, an activity entitled “Utilization of Machine Learning for Property Price Segmentation and Prediction” was held which aimed to introduce and train participants in the application of machine learning to predict property prices. This activity consists of two main parts, namely webinars and workshops. The webinar focused on introducing the concepts of artificial intelligence, machine learning, and AI Project Cycle as the main method in analyzing house prices. Meanwhile, the workshop provided hands-on training to participants in building prediction models using Google Colab. This activity was carried out through a series of stages, starting from socialization, preparation of materials, pre-test to measure initial understanding, educational and practical sessions, to evaluation through post-test and filling in participant feedback. A total of 39 participants from various backgrounds participated in this activity. The evaluation showed that 38.7% of participants were satisfied, while 51.6% were very satisfied with the program. In addition, the post-test results showed a significant increase in understanding compared to the pre-test results. Based on these results, this activity proved to be successful in providing new insights into the application of machine learning in property price prediction and equipping participants with practical skills that can be applied in the real world.
Chatbot Insight: One Day to Get to Know About Conversational AI Faridzi, Salman Al; Novranza, Rafi; Ambiyah, Muhammad Chairil; Fajri, Muhammad Ihsan; Muhammad, Hilbram; Rosanti, Nurvelly; Sutrisno, Mirza; Andharani, Yana
Jurnal Pendidikan Tambusai Vol. 8 No. 2 (2024)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

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Abstract

Chatbot adalah layanan publik yang memiliki kemampuan dalam menjawab pertanyaan dan memberikan solusi yang lebih singkat daripada manusia itu sendiri. Penggunaan chatbot ini cukup beragam bentuknya dan dengan chatbot ini bisa membantu manusia dalam mendapatkan suatu informasi secara cepat. Dengan demikian, diadakannya webinar serta workshop tentang pengenalan dan bagaimana pembuatan dari chatbot dengan memakai Google Collab sebagai alat dan bahasa python sebagai bahasa pemrogramannya. Kegiatan webinar dan workshop ini dilaksanakan pada tanggal 18 Juli 2024, pukul 13.00 WIB yang diikuti sekitar 35 - 40 peserta. Hasil evaluasi menunjukkan bahwa peserta menyatakan kepuasan mereka dengan ditunjukkan besaran persentase nilai postif pada feedback sebesar 52% puas dengan kegiatan dan 44% sangat puas dengan kegiatan ini. Selain itu, peserta juga menyatakan 100% setuju pada kesesuaian materi yang diberikan.
Utilization of Machine Learning for Property Price Segmentation and Prediction Andriansyah, Akbar; Dzulkarnain, Mulki Djenfik; Afkarinah, Afni Izzah; Amili, Fadel; Ramadhika, Gilang; rosanti, Nurvelly; Ambo, Siti Nurbaya; Andharani, Yana; Sutrisno, Mirza
Society : Jurnal Pengabdian Masyarakat Vol. 4 No. 2 (2025): Maret
Publisher : Edumedia Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55824/jpm.v4i2.537

Abstract

Advances in digital technology have encouraged the utilization of artificial intelligence, especially machine learning, in various sectors, including property price analysis. However, there are still many people who do not understand the basic concepts of this technology, so structured and applicable education is needed. To answer this challenge, an activity entitled “Utilization of Machine Learning for Property Price Segmentation and Prediction” was held which aimed to introduce and train participants in the application of machine learning to predict property prices. This activity consists of two main parts, namely webinars and workshops. The webinar focused on introducing the concepts of artificial intelligence, machine learning, and AI Project Cycle as the main method in analyzing house prices. Meanwhile, the workshop provided hands-on training to participants in building prediction models using Google Colab. This activity was carried out through a series of stages, starting from socialization, preparation of materials, pre-test to measure initial understanding, educational and practical sessions, to evaluation through post-test and filling in participant feedback. A total of 39 participants from various backgrounds participated in this activity. The evaluation showed that 38.7% of participants were satisfied, while 51.6% were very satisfied with the program. In addition, the post-test results showed a significant increase in understanding compared to the pre-test results. Based on these results, this activity proved to be successful in providing new insights into the application of machine learning in property price prediction and equipping participants with practical skills that can be applied in the real world.
Co-Authors Afkarinah, Afni Izzah Ambiyah, Muhammad Chairil Ambo, Siti Nurbaya Amili, Fadel Andriansyah, Akbar Dzulkarnain, Mulki Djenfik Fajri, Muhammad Ihsan Faridzi, Salman Al Muhammad, Hilbram Novranza, Rafi Nurvelly Rosanti, Nurvelly Ramadhika, Gilang Sutrisno, Mirza