Implementasi Logika Fuzzy dengan Metode Mamdani untuk Menghitung Durasi Penyiraman Air Otomatis
- Keisya Febrika S. Garingging Institut Teknologi dan Bisnis Indonesia, Medan, Indonesia
- Khomariah Khomariah Institut Teknologi dan Bisnis Indonesia, Medan, Indonesia
- Adelia Astanti Institut Teknologi dan Bisnis Indonesia, Medan, Indonesia
- Adelia Ulfa Institut Teknologi dan Bisnis Indonesia, Medan, Indonesia
-
David JM Sembiring
*
Institut Teknologi dan Bisnis Indonesia, Medan,
Indonesia
- Devita Permatasari Br Ginting Institut Teknologi dan Bisnis Indonesia, Medan, Indonesia (*) Corresponding Author
Abstract
Savings and Loan Cooperatives (KSP) play a crucial role in providing access to financing for the public, particularly in underbanked areas. However, lending through KSPs often faces challenges related to the accuracy of creditworthiness assessments, which largely rely on subjective assessments and manual procedures, resulting in the risk of non-performing loans. This study aims to develop a creditworthiness prediction model using the Decision Tree algorithm to improve the accuracy and efficiency of the credit decision-making process. The Decision Tree algorithm was chosen for its ability to classify customers based on historical data in a manner that is easy to understand and interpret. In this study, customer data, including attributes such as Borrower Credit History, Financial Status, Income Amount, Employment Status, and Loan Amount, was used to construct a decision tree. The results showed that the Decision Tree model achieved an accuracy of 86.67%, indicating its effectiveness in predicting creditworthiness and its reliability in supporting credit granting decisions in savings and loan cooperatives. This research contributes to reducing the risk of non-performing loans and improving the efficiency of decision-making in savings and loan cooperatives through the application of data mining techniques based on historical customer data analysis.
References
K. A. M. D. Prayoga and I. G. N. A. P. P, “Pengembangan Sistem Penyiraman dan Pemupukan Otomatis Berbasis ESP32 dengan RTC dan Blynk,” J. Ilm. Telsinas Elektro, Sipil dan Tek. Inf., vol. 8, no. 1, pp. 1–10, 2025, doi: 10.38043/telsinas.v8i1.6020.
I. V. Sari, D. R. Darmayanti, C. Widiasari, W. Indani, and M. W. Sitopu, “Sistem Otomatis Penyiraman Dan Pemupukan Tanaman Tin Menggunakan Mikrokontroler Esp32,” J. Inform. dan Tek. Elektro Terap., vol. 12, no. 3, 2024, doi: 10.23960/jitet.v12i3.4564.
P. Hawelayuda and A. Wagyana, “Development of Soil Moisture Monitoring System and Automatic Watering Based on Wsn With Lora Pengembangan Sistem Pemantauan Kelembaban Tanah Dan Penyiraman Air Otomatis Berbasis Wsn Denga Lora,” Tesla J. Tek. Elektro, vol. 26, no. 2, pp. 128–137, 2024, [Online]. Available: https://doi.org/10.24912/tesla
R. Alamsyah, E. Ryansyah, A. Y. Permana, and R. Mufidah, “Sistem Penyiraman Tanaman Otomatis Menggunakan Logika Fuzzy Dengan Teknologi Internet of Things Berbasis Esp8266 Dan Aplikasi Blynk,” J. Inform. dan Tek. Elektro Terap., vol. 12, no. 2, pp. 862–868, 2024, doi: 10.23960/jitet.v12i2.4007.
A. Ilyas et al., “Penyiraman Sayuran Otomatis Berbasis Iot Dengan Arduino Iot Based Automatic Vegetable Watering With Arduino,” J. Ilm. Intech Inf. Technol. J. UMUSintech, vol. 6, no. 1, pp. 25–35, 2024.
D. K. Nugraha, H. Setiawan, A. Pratama, and D. Karomah, “Rancang Bangun Sistem Penyiraman Air Otomatis untuk Kebun Tanaman Ruskus di Desa Karyawangi, Kabupaten Bandung Barat,” Madaniya, vol. 5, no. 2, pp. 337–347, 2024, doi: 10.53696/27214834.764.
R. Mochamad Fabian, F. Rosela Sundari, and A. Adiwilaga, “Sistem Penentuan Harga Sewa Locker menggunakan Fuzzy Logic Mamdani,” J. Desain Dan Anal. Teknol., vol. 4, no. 2, pp. 85–93, 2025, doi: 10.58520/jddat.v4i2.79.
H. Munte, Apip Pramudyansyah, and Umryah, “Perbandingan Metode Fuzzy Mamdani Dengan Fuzzy Sugeno Untuk Evaluasi Kinerja Karyawan (Studi Kasus: Firma Hukum XYZ),” Comput. J. Comput. Sci. Inf. Syst., vol. 8, no. 1, pp. 1–12, 2024, doi: 10.24912/computatio.v8i1.11705.
W. Harma, F. Hadi, and D. Kartika, “Digitalisasi Bisnis dalam Strategi Pemasaran Maggot BSF pada Agribisnis Anak Nagari dengan Metode Fuzzy Mamdani,” J. KomtekInfo, vol. 11, pp. 11–17, 2024, doi: 10.35134/komtekinfo.v11i1.497.
Thomas Andrew Imanzaghi, Henni Endah Wahanani, and Agung Mustika Rizki, “Implementasi Metode Fuzzy Mamdani pada Sistem Pakar Mendiagnosis Penyakit Demam Berdarah,” Bridg. J. Publ. Sist. Inf. dan Telekomun., vol. 3, no. 1, pp. 01–20, 2025, doi: 10.62951/bridge.v3i1.378.
A. S. K. R. Nasution, Gunadi Widi Nurcahyo, and Agung Ramadhanu, “Penerapan Metode Fuzzy Mamdani untuk Mengidentifikasi Kepribadian Siswa,” J. KomtekInfo, vol. 11, pp. 157–162, 2024, doi: 10.35134/komtekinfo.v11i3.567.
G. F. Tauhid, W. A. Wangni, R. D. Adinata, R. Dinargo, M. D. J. Saputra, and A. Rahman, “Penerapan Metode Fuzzy Mamdani untuk Rekomendasi Jumlah Produksi pada Industri Makanan Ringan,” J. Inov. Komput., vol. 1, no. 2, pp. 56–65, 2025, [Online]. Available: https://doi.org/10.71200/inokom.v1i2.34
Y. Supriadi and H. Suhendi, “Perancangan Sistem Pakar Mendiagnosa Anemia Menggunakan Metode Fuzzy,” JIRK (Journal Innov. Res. Knowledge), vol. 4, no. 5, 2024.
S. U. Filla and S. Suhardi, “Prototype Alat Pengatur Temperatur Ruang Kerja Pada Rumah Menggunakan Logika Fuzzy Tsukamoto Berbasis Iot,” J. Sci. Soc. Res., vol. 7, no. 1, pp. 68–77, 2024.
A. Maulana, “Penerapan Logika Fuzzy Sugeno Untuk Keputusan Kelayakan Kredit Bank,” J. Desain Dan Anal. Teknol., vol. 3, no. 1, pp. 44–58, 2024, doi: 10.58520/jddat.v3i1.45.
Aristho umbu nggaba kaho, Arini Aha Pekuwali, and Leonard Marten Doni Ratu, “Sistem Pemantauan Kualitas Air Kolam Berbasis Internet of Things (IoT) Untuk Mengurangi Kematian Ikan Nila Menggunakan Logika Fuzzy Mamdani,” J. Teknol. dan Manaj. Ind. Terap., vol. 4, no. 3, pp. 783–791, 2025, doi: 10.55826/jtmit.v4i3.1010.
R. Y. Adhitya, “Sistem Pengendalian Robot KRSRI Menggunakan Logika Fuzzy Sugeno Orde Nol,” J. Elektron. dan Otomasi Ind., vol. 11, no. 1, pp. 159–168, 2024, doi: 10.33795/elkolind.v11i1.4057.
M. Muharni, W. Awaliah, and D. F. Surianto, “Evaluasi Kinerja Karyawan PT. XYZ dengan Pendekatan Metode Fuzzy Mamdani,” Indones. Technol. Educ. J., vol. xx, no. xx, pp. 1–8, 2025, doi: 10.61255/itej.v3i1.567.
V. Karnadi, “Perancangan Sistem Cerdas Pemilihan Mobil Bekas Menggunakan Metode Fuzzy Mamdani,” J. Sains Inform. Terap., vol. 4, no. 2, 2025.
M. N. Aslam, S. Surorejo, and E. U. S. Utami, “Penerapan Metode Fuzzy Mamdani dalam Prediksi Cuaca di Tegal,” J. Artif. Intell. Digit. Bus., vol. 4, no. 3, pp. 2574–2582, 2025.
T. M. Purba and P. Gultom, “Analisis Perbandingan Fuzzy Inference System Metode Mamdani dan Sugeno dalam Optimisasi Produksi Barang,” Innov. J. Soc. Sci. Res., vol. 4, pp. 4076–4088, 2024.
B. A. Hidayatullah, B. I. Nugroho, N. A. Santoso, and G. Gunawan, “Perbandingan Metode Fuzzy Mamdani dan Fuzzy Tsukamoto untuk Identifikasi Tingkat Serangan Penyakit pada Tanaman Bawang Merah,” Innov. J. Soc. Sci. Res., vol. 4, no. 3, pp. 636–648, 2024, doi: 10.31004/innovative.v4i3.10506.
H. Triwi Bowo and A. Rahman, “Fuzzy Mamdani untuk Rekomendasi Produksi Beras Berdasarkan Data Persediaan dan Jumlah Permintaan (Studi Kasus PT XYZ),” J. Inov. Komput., vol. 1, no. 1, pp. 11–23, 2024, doi: 10.71200/inokom.v1i1.28.
K. Annatasia and M. Pita, “Penggunaan Metode Logika Fuzzy Mamdani untuk Menentukan Potensi Bakat dan Keterampilan Siswa,” JUKI J. Komput. dan Inform., vol. 6, no. 2, pp. 138–145, 2024.
T. K. Wutun, B. Deta, and A. N. Weking, “Sistem Pakar Diagnosa Penyakit pada Tanaman Kopi Berbasis Website Menggunakan Metode Fuzzy Logic Mamdani,” J. Artif. Intell. Digit. Bus., vol. 4, no. 3, pp. 2583–2593, 2025.
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Copyright (c) 2025 Keisya Febrika S. Garingging, Khomariah Khomariah, Adelia Astanti, Adelia Ulfa, David JM Sembiring, Devita Permatasari Br Ginting
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