Model Analisis Machine Learning dengan Pendekatan Deep Learning dalam Penentuan Kolektabilitas
DOI:
https://doi.org/10.23887/jstundiksha.v12i2.54035Keywords:
K-Mean Cluster, K- Nearest Neighbor (KNN), Decision Tree (DT)Abstract
Penelitian ini bertujuan untuk melakukan proses prediksi dan klasifikasi dalam pemberian status pinjaman dengan mengembangkan sebuah model analisis menggunakan Machine Learning (ML). Pembelajaran ML menggunakan pendekatan Deep Learning (DL) dengan beberapa metode diantaranya K-Means Cluster, K-Nearest Neighbor (K-NN) dan Decision Tree (DT). Metode K-Means mampu melakukan clusterisasi terhadap pengelompokan data nasabah. Kinerja KNN juga dapat berkontribusi untuk memberikan hasil prediksi yang tepat dan akurat. Demikian juga dengan performa DT yang mampu melakukan klasifikasi dengan menghasilkan knowladge based dalam penentuan status pinjaman. Adapun variabel analisis yakni usia, status perkawinan, jumlah tanggungan, status tempat tinggal, pendapatan. Hasil penelitian ini menyajikan bahwa keluaran prediksi K-NN memberikan ketepatan dengan akurasi sebesar 90%. Hasil DT juga telah mampu menyajikan knowladge based dalam bentuk pohon keputusan status pinjaman. Dengan hasil tersebut maka penelitian ini secara keseluruhan dapat memberikan kontribusi bagi pihak UPK dalam proses manajemen terkhusus dalam penentuan status peminjaman. Penelitian ini perlu dilakukan untuk memberikan kemudahan dalam memberikan kredit yang tepat sesuai dengan ketentuan yang telah ditetapkan.
References
Abdi, M. N. (2020). Krisis Ekonomi Global dari Dampak Penyebaran Virus Corona (Covid-19). AkMen Jurnal Ilmiah, 17(1), 90–98. https://e-jurnal.stienobel-indonesia.ac.id/index.php/akmen/article/view/866.
Abedini, M., Ahmadzadeh, F., & Noorossana, R. (2016). Customer credit scoring using a hybrid data mining approach. Kybernetes.
Adhitama, I. R., Kurniawan, M., & Hakimah, M. (2022). Klasifikasi Status Pinjaman Calon Nasabah Koperasi Simpan Pinjam Menggunakan Metode Bayesian Network (Studi Kasus: Koperasi Simpan Pinjam Btm Nasyiah 1 Bojonegoro). Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, Dan Teknik Informatika (SNESTIK), 1(1), 409–414. https://doi.org/10.31284/p.snestik.2022.2809.
Alpasa, K. H. (2022). Peran Pembiayaan Di Bank Syariah Indonesia Dalam Membantu Pembiayaan Usaha Mikro Kecil Dan Menengah (UMKM) Kota Banjarmasin. Ekonomi dan Bisnis Islam. http://idr.uin-antasari.ac.id/19639/.
Alyasseri, Z. A. A., Al-Betar, M. A., Doush, I. A., Awadallah, M. A., Abasi, A. K., Makhadmeh, S. N., Alomari, O. A., Abdulkareem, K. H., Adam, A., Damasevicius, R., Mohammed, M. A., & Zitar, R. A. (2022). Review On COVID‐19 Diagnosis Models Based On Machine Learning And Deep Learning Approaches. Expert Systems, 39(3), e12759. https://doi.org/10.1111/exsy.12759.
Ameen, N., Tarhini, A., Reppel, A., & Anand, A. (2021). Customer Experiences In The Age Of Artificial Intelligence. Computers in Human Behavior, 114, 106548. https://doi.org/10.1016/j.chb.2020.106548.
Arianto, M. D., & Jananto, A. (2022). Penggunaan Algoritma C4.5 Untuk Penentuan Pemberian Pinjaman Pada Anggota Koperasi. JATISI (Jurnal Teknik Informatika Dan Sistem Informasi), 9(3), 2472–2486. https://doi.org/10.35957/jatisi.v9i3.2768.
Auliasari, K., Kertaningtyas, M., & Wilis Lestarining Basuki, D. (2021). Analisis Penentuan Resiko Kredit Menggunakan Algoritma C.5.0. Jurnal Teknologi Informasi Dan Terapan, 8(1), 28–33. https://doi.org/10.25047/jtit.v8i1.218.
Batubara, D. N., Windarto, A. P., & Irawan, E. (2022). Analisis Prediksi Keterlambatan Pembayaran Listrik Menggunakan Komparasi Metode Klasifikasi Decision Tree dan Support Vector Machine. JURIKOM (Jurnal Riset Komputer), 9(1), 102. https://doi.org/10.30865/jurikom.v9i1.3833.
Bayu, V., Baretha, C., Sabilla, W. I., Amalia, E. L., Studi, P., Informatika, T., Informasi, J. T., & Malang, P. N. (2021). Seminar Informatika Aplikatif Polinema (SIAP)-2021 Aplikasi “Loan Appraisal Generator” Untuk Menentukan Kelayakan Pemberian Pinjaman Dengan Menggunakan Metode Naïve Bayes Classifier. Seminar Informatika Aplikatif Polinema, 31–35.
Becker, J., Radomska-Zalas, A., & Ziemba, P. (2020). Rough set theory in the classification of loan applications. Procedia Computer Science, 176, 3235–3244. https://doi.org/10.1016/j.procs.2020.09.125.
Beltrán, B., Vilariño, D., Martínez-Trinidad, J. F., Carrasco-Ochoa, J. A., & Pinto, D. (2020). K-means based method for overlapping document clustering. Journal of Intelligent and Fuzzy Systems, 39(2), 2127–2135. https://doi.org/10.3233/JIFS-179878.
Chen, J. M. (2021). An Introduction to Machine Learning for Panel Data. International Advances in Economic Research, 27(1), 1–16. https://doi.org/10.1007/s11294-021-09815-6.
Christian, & Ariani, F. (2018). Rancang Bangun Sistem Informasi Peminjaman Perangkat Demi Video Conference Berbasis Web Dengan Metode Waterfall. Jurnal Pilar Nusa Mandiri, 15(1), 131–136. https://doi.org/https://doi.org/10.33480/pilar.v14i1.100.
Daberdaku, S., Tavazzi, E., & Di Camillo, B. (2020). A Combined Interpolation and Weighted K-Nearest Neighbours Approach for the Imputation of Longitudinal ICU Laboratory Data. Journal of Healthcare Informatics Research, 4(2), 174–188. https://doi.org/10.1007/s41666-020-00069-1.
Dey, L., Chakraborty, S., Biswas, A., Bose, B., & Tiwari, S. (2016). Sentiment Analysis of Review Datasets Using Naïve Bayes‘ and K-NN Classifier. International Journal of Information Engineering and Electronic Business, 8(4), 54–62. https://doi.org/10.5815/ijieeb.2016.04.07.
Erdiansyah, U., Lubis, A. I., & Erwansyah, K. (2022). Komparasi Metode K-Nearest Neighbor dan Random Forest Dalam Prediksi Akurasi Klasifikasi Pengobatan Penyakit Kutil. JURNAL MEDIA INFORMATIKA BUDIDARMA, 6(1), 208–214.
Febriani, A., & Anggraini, V. (2021). Implementasi Algoritma Decision Tree (J.48) untuk Memprediksi Resiko Kredit pada BMT. Tekinfo: Jurnal Ilmiah Teknik Industri Dan Informasi, 9(2), 91–99. https://doi.org/10.31001/tekinfo.v9i2.904.
Gu, J., & Lu, S. (2021). An effective intrusion detection approach using SVM with naïve Bayes feature embedding. Computers and Security, 103, 102158. https://doi.org/10.1016/j.cose.2020.102158.
Gupta, M. K. (2020). An Empirical Evaluation of K-Means Clustering Algorithm Using Different Distance/Similarity Metrics. In Lecture Notes in Electrical Engineering (Vol. 605, pp. 884–892). https://doi.org/10.1007/978-3-030-30577-2_79.
Hartono, D., Santoso, L. W., & Rostianingsih, S. (2022). Sistem Pendukung Keputusan Pemberian Kredit berdasarkan Klasifikasi Kelancaran Pembayaran Kredit Menggunakan Metode VIKOR pada Bank XYZ. Jurnal Infra, 10(2), 226–232. https://publication.petra.ac.id/index.php/teknik-informatika/article/view/12735.
Jiang, D., Zhang, J., Wang, Z., Feng, C., Jiao, K., & Xu, R. (2020). A Prediction Model of Blast Furnace Slag Viscosity Based on Principal Component Analysis and K-Nearest Neighbor Regression. JOM, 72(11), 3908–3916. https://doi.org/10.1007/s11837-020-04360-9.
Julita, D. (2022). Pengelolaan Pengembalian Dana Bergulir Pada UPK Amanah Pemberdayaan Masyarakat Kecamatan Batipuh Selatan. IAIN Batusangkar. https://repo.iainbatusangkar.ac.id/xmlui/handle/123456789/25394.
Junaedi, E., Siregar, A. M., & Nurlaelasari, E. (2022). Implementasi C4 . 5 Dan Algoritma K Nearest Neighbor Untuk Prediksi Kelayakan Pemberian Kredit Menggunakan RapidMiner Studio. Scientific Student Journal for Information, Technology and Science, III(1), 83–90. https://journal.ubpkarawang.ac.id/mahasiswa/index.php/ssj/article/view/425
Kandayu, R., Maulana, M., Silaban, W., & Ompusunggu, E. S. (2021). Klasifikasi Kelancaran Pembayaran Pinjaman Koperasi Dengan Metode Decision Tree. Jurnal Sistem Informasi Dan Ilmu Komputer Prima(JUSIKOM PRIMA), 5(1), 19–23. https://doi.org/10.34012/jurnalsisteminformasidanilmukomputer.v5i1.1910.
Komang, N., Suarpurningsih, A., Widya Utami, N., Estiyanti, N. M., & Primakara, S. (2022). Klasifikasi Penentuan Kelayakan Pemberian Kredit Menggunakan Metode Naive Bayes Classifier (Kasus: Koperasi Simpan Pinjam Artha Segara). Jurnal Sains Komputer & Informatika (J-SAKTI, 6(1), 391–404. https://doi.org/10.30645/j-sakti.v6i1.454.
Kulothungan, A., & Gupta, K. (2021). Loan Forecast by Using Machine Learning. Turkish Journal of Computer and Mathematics Education, 12(7), 894–900. https://doi.org/10.17762/turcomat.v12i7.2673.
Lestari, D. A. (2021). Analisis Kinerja Keuangan Unit Pengelola Keuangan (Upk) Dalam Badan Keswadayaan Masyarakat (Bkm) Baroka. Edutama. http://repository.ikippgribojonegoro.ac.id/1737/%0Ahttp://repository.ikippgribojonegoro.ac.id/1737/1/Artikel Skripsi Dian Ayuevianik Lestari %2817210012%29.pdf.
Mahdaoui, A., & SBAI, E. H. (2021). 3D point cloud simplification based on the clustering algorithm and introducing the Shannon’s entropy. Thirteenth International Conference on Machine Vision, 11605, 87. https://doi.org/10.1117/12.2588384.
Mohan, A. S., Manisekaran, A., & Kumar, L. S. (2021). Aerosol Classification Using Machine Learning Algorithms. Indian Journal of Radio and Space Physics, 50(4), 217–223. https://nopr.niscpr.res.in/handle/123456789/59114.
Mukid, M. A., Widiharih, T., Rusgiyono, A., & Prahutama, A. (2018). Credit scoring analysis using weighted k nearest neighbor. Journal of Physics: Conference Series, 1025(1), 12114. https://doi.org/10.1088/1742-6596/1025/1/012114.
Mustaidah, E., & Fauzan, A. (2021). Analisis Pembiayaan Bermasalah Pada Unit Pengelola Kegiatan (UPK) Bangkit Mandiri Kecamatan Lebakwangi Kuningan. BanKu: Jurnal Perbankan Dan Keuangan, 2(2), 68–77. https://doi.org/10.37058/banku.v2i2.3572.
Nalić, J., Martinović, G., & Žagar, D. (2020). New Hybrid Data Mining Model For Credit Scoring Based On Feature Selection Algorithm And Ensemble Classifiers. Advanced Engineering Informatics, 45, 101130. https://doi.org/10.1016/j.aei.2020.101130.
Nguyen, X. V. C., Duong, L. M., & Nguyen, H. S. (2021). Appliance Classification On Low-Cost Smart Power Outlets Based On Frequency Feature Of Electric Current. Proceeding - 2021 26th IEEE Asia-Pacific Conference on Communications, APCC 2021, 128–133. https://doi.org/10.1109/APCC49754.2021.9609819.
Nirwana, A., Siregar, A., & Rahmat, R. (2022). Klasifikasi Permasalahan Kredit Macet Pada Bank Menggunakan Algoritma Decision Tree C4. 5. Scientific Student Journal for Information, Technology and Science, 3(1), 43–50. https://journal.ubpkarawang.ac.id/mahasiswa/index.php/ssj/article/view/420.
Pakpahan, A. K. (2020). COVID-19 dan Implikasi Bagi Usaha Mikro, Kecil, dan Menengah. Jurnal Ilmiah Hubungan Internasional, 20(April), 59–64. https://doi.org/10.26593/jihi.v0i0.3870.59-64.
Poorani, S., & Balasubramanie, P. (2019). Deep neural network classifier in breast cancer prediction. International Journal of Engineering and Advanced Technology, 9(1), 2106–2109. https://doi.org/10.35940/ijeat.A9664.109119.
Prasojo, B., & Haryatmi, E. (2021). Analisa Prediksi Kelayakan Pemberian Kredit Pinjaman dengan Metode Random Forest. Jurnal Nasional Teknologi Dan Sistem Informasi, 7(2), 79–89. https://doi.org/10.25077/teknosi.v7i2.2021.79-89.
Puri, N. Y., & Ima Amaliah. (2021). Pengaruh Inflasi, Suku Bunga, PDB, Nilai Tukar dan Krisis Ekonomi terhadap Neraca Perdagangan Indonesia Periode 1995-2017. Bandung Conference Series: Economics Studies, 1(1), 9–19. https://doi.org/10.29313/bcses.v1i1.43.
Saadatfar, H., Khosravi, S., Joloudari, J. H., Mosavi, A., & Shamshirband, S. (2020). A New K-Nearest Neighbors Classifier For Big Data Based On Efficient Data Pruning. Mathematics, 8(2), 286. https://doi.org/10.3390/math8020286.
Said, H., Matondang, N. H., & Irmanda, H. N. (2022). Penerapan Algoritma K-Nearest Neighbor Untuk Memprediksi Kualitas Air Yang Dapat Dikonsumsi. Techno.Com, 21(2), 256–267. https://doi.org/10.33633/tc.v21i2.5901.
Setiawan, G., & Widodo, T. (2021). Rancang Bangun E-Marketplace Untuk Penerapan Web Responsive UMKM Kerajinan Khas Lampung. Jurnal Edukasimu, 1(1), 1–11. http://edukasimu.org/index.php/edukasimu/article/view/3.
Sholihah, E. (2021). Efisiensi Kinerja Keuangan Sektor Perbankan Indonesia Di Masa Pandemi Covid-19. JRMSI-Jurnal Riset Manajemen Sains Indonesia, 12(2), 287–304. https://doi.org/10.21009/JRMSI.012.2.06.
Silangen, R. T., & Matdoan, M. Y. (2022). Klasifikasi Hasil Seleksi Kompotensi Dasar CPNS Menggunakan Metode Decision Tree. Inferensi, 5(2), 69. https://doi.org/10.12962/j27213862.v5i2.12353.
Sinaga, J., & Sinaga, B. (2020). Data Mining Classification Of Filing Credit Customers Without Collateral With K-Nearest Neighbor Algorithm (Case study: PT. BPR Diori Double). Journal Of Computer Networks, Architecture and High Performance Computing, 2(2), 204–210. https://doi.org/10.47709/cnapc.v2i2.401.
Srinivasa Rao, M., Sekhar, C., & Bhattacharyya, D. (2021). Comparative Analysis of Machine Learning Models on Loan Risk Analysis. Advances in Intelligent Systems and Computing, 1280, 81–90. https://doi.org/10.1007/978-981-15-9516-5_7.
Suwati, Yesputra, R., & Sapta, A. (2022). Prediksi Kelancaran Pembayaran Angsuran Pada Koperasi Dengan Metode Naive Bayes Classifier. Indonesian Journal of Computer Science, 11(2). https://doi.org/10.33022/ijcs.v11i2.3080.
Tafonao, I. P. J., & Sibero, A. F. K. (2022). Teknik Klasifikasi Prediksi Kelulusan Mahasiswa Sistem Informasi Universitas Sari Mutiara Indonesia Menggunakan K-Nearest Neighbors. Jurnal Mahajana Informasi, 7(1), 83–90. https://doi.org/10.51544/jurnalmi.v7i1.2956.
Widodo, A. P., Sarwoko, E. A., & Firdaus, Z. (2017). Akurasi Model Prediksi Metode Backpropagation Menggunakan Kombinasi Hidden Neuron Dengan Alpha. Matematika, 20(2), 79–84.
Yang, R., & Niu, B. (2020). Continuous k Nearest Neighbor Queries over Large-Scale Spatial–Textual Data Streams. ISPRS International Journal of Geo-Information, 9(11), 694. https://doi.org/10.3390/ijgi9110694.
Yanto, M., Arlis, S., Na, J., Yuhandri, Y., & Putra, D. M. (2022). Hybrid Method Air Quality Classification Analysis Model. 11(2), 829–836. https://doi.org/10.18421/TEM112.
Yanto, M., Sanjaya, S., Yulasmi, Y., Guswandi, D., & Arlis, S. (2021). Implementation multiple linear regresion in neural network predict gold price. Indonesian Journal of Electrical Engineering and Computer Science, 22(3), 1635–1642. https://doi.org/10.11591/ijeecs.v22.i3.pp1635-1642.
Yuan, C. Z. (2020). Determining Optimal Lag Time Selection Function with Novel Machine Learning Strategies for Better Agricultural Commodity Prices Forecasting in Malaysia. In ACM International Conference Proceeding Series (pp. 37–42). https://doi.org/10.1145/3417473.3417480.
Zhu, Z., & Liu, N. (2021). Early Warning of Financial Risk Based on K-Means Clustering Algorithm. Complexity, 2021. https://doi.org/10.1155/2021/5571683.
Zubaidah, T., Yenriani, Putri, F. H., & Pangastuti, N. (2021). Krisis Ekonomi Bangsa Indonesia Dimasa Pandemi Covid-19. Jurnal Syntax Fusion, 1(2), 103–110. https://doi.org/10.54543/fusion.v1i2.16.
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