PREDICTING RENTAL PRICE RANGES USING THE NAIVE BAYES METHOD FOR BMN OPTIMIZATION (CASE STUDY IN BUKITTINGGI CITY AND SURROUNDINGS)
Abstract
This study aims to develop a predictive model for determining the rental price range of State Property (BMN), including accommodations and ATM rooms, using the Naive Bayes algorithm to mitigate bias in rental optimization within the KPKNL Bukittinggi work area. By utilizing market transaction data for ATM room rentals and market offering data for accommodation rentals, the authors constructed a predictive model to estimate the rental price range of BMN. The model achieved accuracy rates of 61.85% for accommodation rentals and 70.15% for ATM room rentals. The originality of this study lies in addressing the potential bias risk in BMN rental assessments, which can lead to inefficient and suboptimal transactions. The findings reveal that of the 7 BMN accommodations analyzed, 4 were undervalued. Additionally, out of 24 BMN ATM room rentals, 3 were undervalued, and 3 were overvalued, indicating the model's potential to enhance the accuracy of rental value assessments.
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References
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Blackburn, M., & Vermilyea, T. (2007). The role of information externalities and scale economies in home mortgage lending decisions. Journal of Urban Economics, 61(1), 71–85. https://doi.org/10.1016/j.jue.2006.05.005
Borman, R. I., & Wati, M. (2020). Penerapan Data Maining Dalam Klasifikasi Data Anggota Kopdit Sejahtera Bandarlampung Dengan Algoritma Naïve Bayes. Jurnal Ilmiah Fakultas Ilmu Komputer, 9(1), 25–34.
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Christina, M., & Pratiwi, Y. (2017). Analysis of Potential Sector and Structural Transformation in Central Kalimantan Province 2010 – 2016. Inovasi Pembangunan : Jurnal Kelitbangan, 5(03), 184-205. Retrieved from https://jurnal.balitbangda.lampungprov.go.id/index.php/jip/article/view/44
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Fatmawati, F. (2016). Perbandingan Algoritma Klasifikasi Data Mining Model C4. 5 Dan Naive Bayes Untuk Prediksi Penyakit Diabetes. Jurnal Techno Nusa Mandiri, 13(1), 50–59.
Hamzah, A. (2012). Klasifikasi Teks dengan Naïve Bayes Classifier (NBC) untuk Pengelompokan Teks Berita dan Abstrak Akademik. Seminar Nasional Aplikasi Sains & Teknologi (SNAST).
Hand, D. J., & Yu, K. (2001). Idiot’s Bayes: Not So Stupid after All? International Statistical Review, 69(3), 385–398.
Hanif, P., Fachruzzaman, F., & Baihaqi, B. (2016). Dinamika Kepemilikan Aset Dan Pelayanan Publik: Studi Fenomenologi Pada Rumah Sakit Dr. Sobirin Kabupaten Musi Rawas. Jurnal Fairness, 6(3), 229–240.
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Lombantoruan, H. D. (2015). ASPEK HUKUM PENILAIAN HARGA YANG WAJAR DALAM PERTUKARAN BARANG. To-Ra, 1(2), 99–110.
Mohd, T., Jamil, N. S., Johari, N., Abdullah, L., & Masrom, S. (2020). An Overview of Real Estate Modelling Techniques for House Price Prediction. Charting a Sustainable Future of ASEAN in Business and Social Sciences, 321–338.
Muhamad, H., Prasojo, C. A., Sugianto, N. A., Surtiningsih, L., & Cholissodin, I. (2017). OPTIMASI NAÏVE BAYES CLASSIFIER DENGAN MENGGUNAKAN PARTICLE SWARM OPTIMIZATION PADA DATA IRIS. Jurnal Teknologi Informasi Dan Ilmu Komputer (JTIIK), 4(3), 180–184.
Nilawati, L., & Martin, M. (2020). Penilaian Apartemen Pada Perusahaan Konsultan Properti Menggunakan Metode Naïve Bayes. Information System For Educators And Professionals: Journal of Information System, 4(2), 114–123.
Pagourtzi, E., Assimakopoulos, V., Hatzichristos, T., & French, N. (2003). Real estate appraisal: A review of valuation methods. In Journal of Property Investment & Finance (Vol. 21, Issue 4, pp. 383–401). https://doi.org/10.1108/14635780310483656
Park, B., & Bae, J. K. (2015). Using Machine Learning Algorithms For Housing Price Prediction: The Case Of Fairfax County, Virginia Housing Data. Expert Systems With Applications, 42(6), 2928–2934.
Rahayu, S., Jaya Purnama, J., Mahmud Nawawi, H., Septia Nugraha, F., Komputer, I., & Nusa Mandiri Jakarta, S. (2019). Algoritma Naïve Bayes Classifier Untuk Memprediksi Gejala Autism Spectrum Disorders Pada Anak-Anak. Seminar Nasional Rekayasa Dan Teknologi, 27.
Riyanah, N., & Fatmawati, F. (2021). Penerapan Algoritma Naive Bayes Untuk Klasifikasi Penerima Bantuan Surat Keterangan Tidak Mampu. JTIM: Jurnal Teknologi Informasi Dan Multimedia, 2(4), 206–213.
Riyanto, E. (2020). FAKTOR-FAKTOR YANG MEMPENGARUHI NILAI SEWA PROPERTI UNTUK PENEMPATAN MESIN ANJUNGAN TUNAI MANDIRI (ATM). In Jurnal Pajak dan keuangan Negara (Vol. 2, Issue 1).
Sanesta, A., & Zaili Rusli SD, P. H. (2015). STRATEGI PENGEMBANGAN KEPARIWISATAAN DI KOTA BUKITTINGGI oleh. In Jom FISIP (Vol. 1, Issue 2).
Suryanto, A., Alfarobi, I., Tutupoly, T. A., & Fauziahti, R. (2019). Optimasi Naive Bayes Menggunakan Optimize Weights Dan Stratified Pada Data Kredit Koperasi. Jurnal Mantik Penusa, 3(1), 211–219.
STIT, M., Kusuma, N., & Purwanti, E. (2018). Village Index Analysis Building to Know The Village Development In Gadingrejo District of Pringsewu District. Inovasi Pembangunan : Jurnal Kelitbangan, 6(02), 179-190. Retrieved from https://jurnal.balitbangda.lampungprov.go.id/index.php/jip/article/view/96
Tokuç, A. A. (2021). Naive bayes classification performance. https://www.baeldung.com/cs/naive-bayes-classification-performance
Wang, D., & Li, V. J. (2019). Mass Appraisal Models Of Real Estate In The 21st Century: A Systematic Literature Review. Sustainability, 11(24). https://doi.org/10.3390/su11247006
Book
Arikunto, S. (2013). Prosedur Penelitian: Suatu Pendekatan Praktik. Rineka Cipata.
Bramer, M. (2007). Principles of Data Mining. Springer.
Ghozali, I. (2011). Aplikasi Analisis Multivariate Dengan Program IBM.
Hofmann, M., & Klinkenberg, R. (2016). Rapidminer: Data Mining Use Cases And Business Analytics Applications. CRC Press.
Horne, D. K., & Rosenblatt, E. (1996). Property Appraisals And Moral Hazard.
Kotu, V., & Deshpande, B. (2014). Predictive Analytics And Data Mining: Concepts And Practice With Rapidminer. Morgan Kaufmann.
Lorenz, D. P. (2006). The Application Of Sustainable Development Principles To The Theory And Practice Of Property Valuation.
Prihadi, T. (2013). Capital Budgeting & Fixed Asset Management (Vol. 1). PPM Manajemen.
Rattermann, M. (2014). The Student Handbook To The Appraisal Of Real Estate 14th Edition. Appraisal Institute.
Siregar, D. D. (2004). Manajemen Aset: Strategi Penataan Konsep Pembangunan Berkelanjutan Secara Nasional Dalam Konteks Kepala Daerah Sebagai CEO’s Pada Era Globalisasi & Otonomi Daerah. Gramedia Pustaka Utama.
Sugiyono. (2010). Metode Penelitian Pendidikan Pendekatan Kuantitatif, Kualitatif, dan R&D. Alfabeta.
Suntoro, J. (2019). Data Mining: Algoritma dan Implementasi dengan Pemrograman PHP. Elex Media Komputindo.
Tan, P.-N., Steinbach, M., Karpatne, A., & Kumar, V. (2016). Introduction To Data Mining. Pearson Education India.
Paper published in the proceeding
Ding, L. (2014). The pattern of appraisal Bias in the Third District during the housing crisis. Federal Reserve Bank of Philadelphia CDS&E Discussion Paper. http://www.nytimes.com/2013/09/15/realestate/when-appraisals-come-in-low.html.
Lewis, D. D. (1998). Naive (Bayes) at Forty: The Independence Assumption in Information Retrieval. The Tenth European Conference On Machine Learning, 4–15.
Wijaya, R., & Rizal, U. (2017, October). Comparison Method Of Classification Naives Bayes And Classification Nearest Neighbor On Analysis Twitter Posts Jams Traffic In Bandar Lampung. International Conference on Engineering and Technology Development (ICETD).
Report by A Government Agency
ANTARA. (2021). Mendag: Revitalisasi Pasar Bawah Bukittinggi dimulai 2022, Anggaran Rp 400 M. https://bisnis.tempo.co/read/1449-630/mendag-revitalisasi-pasar-bawah-bukittinggi-dimulai-2022-anggaran-rp-400-m
Direktorat Jenderal Kekayaan Negara Kementerian Keuangan RI. (2021). Direktorat Jenderal Kekayaan Negara Kementerian Keuangan RI (2021). https:/-/www.djkn.kemenkeu.go.id/berita-media/baca/13046/Kemenkeu-PNBP-dari-Pemanfaatan-Barang-Milik-Negara-Capai-Rp289-Miliar.html.
Direktorat Jenderal Kekayaan Negara Kementerian Keuangan Republik Indonesia. (2018). Peraturan Direktur Jenderal Kekayaan Negara Nomor 4/KN/2018 tentang Petunjuk Teknis Penilaian Sewa Barang Milik Negara.
International Association of Assessing Officers. (2017). Standard on Mass Appraisal of Real Property. www.iaao.org
Kementerian Keuangan Republik Indonesia. (2020). Peraturan Menteri Keuangan Nomor 173/PMK.06/2020 tentang Penilaian oleh Penilai Pemerintah di Lingkungan Direktorat Jenderal Kekayaan Negara
Komite Penyusun Standar Penilaian Indonesia. (2018). Kode Etik Penilaian Indonesia dan Standar Penilaian Indonesia.
Kementerian Pekerjaan Umum dan Perumahan Rakyat (2021). Tingkatkan pertumbuhan ekonomi dan konektivitas Kementerian PUPR bangun sejumlah infrastruktur di Sumatera Barat. https://www.pu.go.id/berita/tingkat-kan-pertumbuhan-ekonomi-dan-konektivitas-kementerian-pupr-bangun-sejumlah-infrastruktur-di-sumatera-barat.
Republik Indonesia. (2014). Peraturan Pemerintah RI Nomor 27 Tahun 2014 tentang pengelolaan Barang Milik Negara/Daerah.
Baldominos, A., Blanco, I., Moreno, A. J., Iturrarte, R., Bernárdez, Ó., & Afonso, C. (2018). Identifying real estate opportunities using machine learning. Applied Sciences (Switzerland), 8(11). https://doi.org/10.3390/app8112321
Blackburn, M., & Vermilyea, T. (2007). The role of information externalities and scale economies in home mortgage lending decisions. Journal of Urban Economics, 61(1), 71–85. https://doi.org/10.1016/j.jue.2006.05.005
Borman, R. I., & Wati, M. (2020). Penerapan Data Maining Dalam Klasifikasi Data Anggota Kopdit Sejahtera Bandarlampung Dengan Algoritma Naïve Bayes. Jurnal Ilmiah Fakultas Ilmu Komputer, 9(1), 25–34.
Brownlee, J. (2019, August 12). Better Naive Bayes: 12 Tips To Get The Most From The Naive Bayes Algorithm. https://machinelearningmastery.com/better-naive-bayes/
Calem, P., Kenney, J., Lambie-Hanson, L., & Nakamura, L. (2017). Appraising Home Purchase Appraisals. Real Estate Economics, 49(1), 134–168. https://doi.org/10.1111/1540-6229.12326
Christina, M., & Pratiwi, Y. (2017). Analysis of Potential Sector and Structural Transformation in Central Kalimantan Province 2010 – 2016. Inovasi Pembangunan : Jurnal Kelitbangan, 5(03), 184-205. Retrieved from https://jurnal.balitbangda.lampungprov.go.id/index.php/jip/article/view/44
Cho, M., & Megbolugbe, I. F. (1996). An Empirical Analysis of Property Appraisal and Mortgage Redlining. In Journal of Real Estate Finance and Economics (Vol. 13). Kluwer Academic Publishers.
Fatmawati, F. (2016). Perbandingan Algoritma Klasifikasi Data Mining Model C4. 5 Dan Naive Bayes Untuk Prediksi Penyakit Diabetes. Jurnal Techno Nusa Mandiri, 13(1), 50–59.
Hamzah, A. (2012). Klasifikasi Teks dengan Naïve Bayes Classifier (NBC) untuk Pengelompokan Teks Berita dan Abstrak Akademik. Seminar Nasional Aplikasi Sains & Teknologi (SNAST).
Hand, D. J., & Yu, K. (2001). Idiot’s Bayes: Not So Stupid after All? International Statistical Review, 69(3), 385–398.
Hanif, P., Fachruzzaman, F., & Baihaqi, B. (2016). Dinamika Kepemilikan Aset Dan Pelayanan Publik: Studi Fenomenologi Pada Rumah Sakit Dr. Sobirin Kabupaten Musi Rawas. Jurnal Fairness, 6(3), 229–240.
Islahuddin, & Irawanto, D. S. (2020). Minimarket menjamur tapi toko kelontong dan pasar tradisional tidak mati. https://lokadata.id/artikel/minimarket-menjamur-tapi-toko-kelontong-dan-pasar-tradisional-tidak-mati.
Lang, W. W., & Nakamura, L. I. (1993). A model of redlining. Journal of Urban Economics, 33(2), 223–234.
Lombantoruan, H. D. (2015). ASPEK HUKUM PENILAIAN HARGA YANG WAJAR DALAM PERTUKARAN BARANG. To-Ra, 1(2), 99–110.
Mohd, T., Jamil, N. S., Johari, N., Abdullah, L., & Masrom, S. (2020). An Overview of Real Estate Modelling Techniques for House Price Prediction. Charting a Sustainable Future of ASEAN in Business and Social Sciences, 321–338.
Muhamad, H., Prasojo, C. A., Sugianto, N. A., Surtiningsih, L., & Cholissodin, I. (2017). OPTIMASI NAÏVE BAYES CLASSIFIER DENGAN MENGGUNAKAN PARTICLE SWARM OPTIMIZATION PADA DATA IRIS. Jurnal Teknologi Informasi Dan Ilmu Komputer (JTIIK), 4(3), 180–184.
Nilawati, L., & Martin, M. (2020). Penilaian Apartemen Pada Perusahaan Konsultan Properti Menggunakan Metode Naïve Bayes. Information System For Educators And Professionals: Journal of Information System, 4(2), 114–123.
Pagourtzi, E., Assimakopoulos, V., Hatzichristos, T., & French, N. (2003). Real estate appraisal: A review of valuation methods. In Journal of Property Investment & Finance (Vol. 21, Issue 4, pp. 383–401). https://doi.org/10.1108/14635780310483656
Park, B., & Bae, J. K. (2015). Using Machine Learning Algorithms For Housing Price Prediction: The Case Of Fairfax County, Virginia Housing Data. Expert Systems With Applications, 42(6), 2928–2934.
Rahayu, S., Jaya Purnama, J., Mahmud Nawawi, H., Septia Nugraha, F., Komputer, I., & Nusa Mandiri Jakarta, S. (2019). Algoritma Naïve Bayes Classifier Untuk Memprediksi Gejala Autism Spectrum Disorders Pada Anak-Anak. Seminar Nasional Rekayasa Dan Teknologi, 27.
Riyanah, N., & Fatmawati, F. (2021). Penerapan Algoritma Naive Bayes Untuk Klasifikasi Penerima Bantuan Surat Keterangan Tidak Mampu. JTIM: Jurnal Teknologi Informasi Dan Multimedia, 2(4), 206–213.
Riyanto, E. (2020). FAKTOR-FAKTOR YANG MEMPENGARUHI NILAI SEWA PROPERTI UNTUK PENEMPATAN MESIN ANJUNGAN TUNAI MANDIRI (ATM). In Jurnal Pajak dan keuangan Negara (Vol. 2, Issue 1).
Sanesta, A., & Zaili Rusli SD, P. H. (2015). STRATEGI PENGEMBANGAN KEPARIWISATAAN DI KOTA BUKITTINGGI oleh. In Jom FISIP (Vol. 1, Issue 2).
Suryanto, A., Alfarobi, I., Tutupoly, T. A., & Fauziahti, R. (2019). Optimasi Naive Bayes Menggunakan Optimize Weights Dan Stratified Pada Data Kredit Koperasi. Jurnal Mantik Penusa, 3(1), 211–219.
STIT, M., Kusuma, N., & Purwanti, E. (2018). Village Index Analysis Building to Know The Village Development In Gadingrejo District of Pringsewu District. Inovasi Pembangunan : Jurnal Kelitbangan, 6(02), 179-190. Retrieved from https://jurnal.balitbangda.lampungprov.go.id/index.php/jip/article/view/96
Tokuç, A. A. (2021). Naive bayes classification performance. https://www.baeldung.com/cs/naive-bayes-classification-performance
Wang, D., & Li, V. J. (2019). Mass Appraisal Models Of Real Estate In The 21st Century: A Systematic Literature Review. Sustainability, 11(24). https://doi.org/10.3390/su11247006
Book
Arikunto, S. (2013). Prosedur Penelitian: Suatu Pendekatan Praktik. Rineka Cipata.
Bramer, M. (2007). Principles of Data Mining. Springer.
Ghozali, I. (2011). Aplikasi Analisis Multivariate Dengan Program IBM.
Hofmann, M., & Klinkenberg, R. (2016). Rapidminer: Data Mining Use Cases And Business Analytics Applications. CRC Press.
Horne, D. K., & Rosenblatt, E. (1996). Property Appraisals And Moral Hazard.
Kotu, V., & Deshpande, B. (2014). Predictive Analytics And Data Mining: Concepts And Practice With Rapidminer. Morgan Kaufmann.
Lorenz, D. P. (2006). The Application Of Sustainable Development Principles To The Theory And Practice Of Property Valuation.
Prihadi, T. (2013). Capital Budgeting & Fixed Asset Management (Vol. 1). PPM Manajemen.
Rattermann, M. (2014). The Student Handbook To The Appraisal Of Real Estate 14th Edition. Appraisal Institute.
Siregar, D. D. (2004). Manajemen Aset: Strategi Penataan Konsep Pembangunan Berkelanjutan Secara Nasional Dalam Konteks Kepala Daerah Sebagai CEO’s Pada Era Globalisasi & Otonomi Daerah. Gramedia Pustaka Utama.
Sugiyono. (2010). Metode Penelitian Pendidikan Pendekatan Kuantitatif, Kualitatif, dan R&D. Alfabeta.
Suntoro, J. (2019). Data Mining: Algoritma dan Implementasi dengan Pemrograman PHP. Elex Media Komputindo.
Tan, P.-N., Steinbach, M., Karpatne, A., & Kumar, V. (2016). Introduction To Data Mining. Pearson Education India.
Paper published in the proceeding
Ding, L. (2014). The pattern of appraisal Bias in the Third District during the housing crisis. Federal Reserve Bank of Philadelphia CDS&E Discussion Paper. http://www.nytimes.com/2013/09/15/realestate/when-appraisals-come-in-low.html.
Lewis, D. D. (1998). Naive (Bayes) at Forty: The Independence Assumption in Information Retrieval. The Tenth European Conference On Machine Learning, 4–15.
Wijaya, R., & Rizal, U. (2017, October). Comparison Method Of Classification Naives Bayes And Classification Nearest Neighbor On Analysis Twitter Posts Jams Traffic In Bandar Lampung. International Conference on Engineering and Technology Development (ICETD).
Report by A Government Agency
ANTARA. (2021). Mendag: Revitalisasi Pasar Bawah Bukittinggi dimulai 2022, Anggaran Rp 400 M. https://bisnis.tempo.co/read/1449-630/mendag-revitalisasi-pasar-bawah-bukittinggi-dimulai-2022-anggaran-rp-400-m
Direktorat Jenderal Kekayaan Negara Kementerian Keuangan RI. (2021). Direktorat Jenderal Kekayaan Negara Kementerian Keuangan RI (2021). https:/-/www.djkn.kemenkeu.go.id/berita-media/baca/13046/Kemenkeu-PNBP-dari-Pemanfaatan-Barang-Milik-Negara-Capai-Rp289-Miliar.html.
Direktorat Jenderal Kekayaan Negara Kementerian Keuangan Republik Indonesia. (2018). Peraturan Direktur Jenderal Kekayaan Negara Nomor 4/KN/2018 tentang Petunjuk Teknis Penilaian Sewa Barang Milik Negara.
International Association of Assessing Officers. (2017). Standard on Mass Appraisal of Real Property. www.iaao.org
Kementerian Keuangan Republik Indonesia. (2020). Peraturan Menteri Keuangan Nomor 173/PMK.06/2020 tentang Penilaian oleh Penilai Pemerintah di Lingkungan Direktorat Jenderal Kekayaan Negara
Komite Penyusun Standar Penilaian Indonesia. (2018). Kode Etik Penilaian Indonesia dan Standar Penilaian Indonesia.
Kementerian Pekerjaan Umum dan Perumahan Rakyat (2021). Tingkatkan pertumbuhan ekonomi dan konektivitas Kementerian PUPR bangun sejumlah infrastruktur di Sumatera Barat. https://www.pu.go.id/berita/tingkat-kan-pertumbuhan-ekonomi-dan-konektivitas-kementerian-pupr-bangun-sejumlah-infrastruktur-di-sumatera-barat.
Republik Indonesia. (2014). Peraturan Pemerintah RI Nomor 27 Tahun 2014 tentang pengelolaan Barang Milik Negara/Daerah.
Published
2024-08-02
How to Cite
Luthfi, F., & Raharjo, T. (2024). PREDICTING RENTAL PRICE RANGES USING THE NAIVE BAYES METHOD FOR BMN OPTIMIZATION (CASE STUDY IN BUKITTINGGI CITY AND SURROUNDINGS). Inovasi Pembangunan : Jurnal Kelitbangan, 12(02), 123-132. https://doi.org/https://doi.org/10.35450/jip.v7i3.551
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