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Journal : Ainet : Jurnal Informatika

PENERAPAN ENSEMBLE CLASSIFIER DALAM PENENTUAN PERSETUJUAN KREDIT BANK Muhammad Nur Akbar; M. Hasrul H; A. Muh Nur Hidayat
Ainet : Jurnal Informatika Vol 2, No 2 (2020): September (2020)
Publisher : Universitas Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/ainet.v2i1.4937

Abstract

Perkembangan teknologi informasi dalam bidang usaha perbankan sangat diperlukan dalam rangka meningkatkan kualitas layanan dengan memberikan kenyamanan, keamanan, dan kemudahan salah satunya pada produk kredit yang terdapat pada suatu bank. Pihak perbankan dihadapkan pada suatu masalah yaitu harus meningkatkan volume pemberian kredit namun juga harus dapat mengurangi resiko kredit bermasalah. Untuk meminimalisir kredit bermasalah pihak bank dituntut melakukan analisis yang tepat. Hal tersebut dapat diatasi salah satunya dengan memanfaatkan teknologi informasi sebagai pendukung pengambilan keputusan, berupa aplikasi data mining. Ensemble Classifier dengan majority voting ditawarkan sebagai solusi dangan nilai rata-rata akurasi sebesar 88.75% yang telah diuji pada kasus imbalanced class. Setelah diimplementasikan pada data testing sebanyak 274 nasabah, diperoleh keputusan 109 nasabah dinyatakan SETUJU dan 165 nasabah dinyatakan di TOLAK.
System Security for Motorcycle with Arduino Andi Muhammad Nur Nurhidayat; Muhammad Nur Akbar
Ainet : Jurnal Informatika Vol 2, No 2 (2020): September (2020)
Publisher : Universitas Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/ainet.v2i2.4938

Abstract

Nowadays, vehicles are the main requirement for carrying out activities of daily life. One of the most widely used by Indonesians is motorbikes. The motorcycle safety system provided by motorcycle manufacturers has not been effective and still has many shortcomings. Besides, the rampant motorcycle thief and robbery cases have made vehicle owners have to pay attention to their motorbikes' safety. An integrated motorcycle safety system is much needed. The design of a motorcycle vehicle system that is integrated with the Arduino via Bluetooth media provides quite maximum test results. Based on the results of testing, the accuracy of the tool gives 99% results. This safety system can turn off and turn on the motorcycle stock contact automatically. When the motorbike is on, Bluetooth on the motorbike and Bluetooth on the helmet are separated beyond a distance of 10 meters, the stock contact on the motorcycle vehicle will turn off so that the motorbike cannot be turned on at the same time the alarm will flash. The motor can be turned on after Bluetooth on the helmet, and the motorbike is connected or reconnected. With this, the safety standards on motorbikes are getting better. Motorcycle users will feel safe after leaving their vehicle.