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All Journal Ainet : Jurnal Informatika Journal of Computer Engineering, Electronics and Information Technology
M. Hasrul H
Universitas Islam Negeri Alauddin Makassar
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Other

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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.
Determination of Priorities for the Development of Small and Medium Enterprises in the Province of South Sulawesi Using the Weighted Product Model Nur Annisa Safitri Yusuf; Mustikasari Mustikasari; M. Hasrul H
Journal of Computer Engineering, Electronics and Information Technology Vol 2, No 1 (2023): COELITE: Volume 2, Issue 1, 2023
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (567.442 KB) | DOI: 10.17509/coelite.v2i1.57083

Abstract

Small and Medium Enterprises (SMEs) are a sector that plays a vital role in running the national economy. The South Sulawesi Provincial Office of Industry as a regional government organization is tasked with administering affairs in the industrial sector of the South Sulawesi Province. In terms of developing SMEs, the South Sulawesi Provincial Industry Service has the right to determine priority industries that have the potential to be developed. The decision-making process at the South Sulawesi Industry Office is still experiencing several obstacles. This is due to the decision making does not use an objective method. In order to help solve this problem, we need a system that can be used to determine industrial development priorities. This research builds a web-based decision support system software regarding priority setting for SMEs development in South Sulawesi Province using the weighted product model. A method that will find a concluding solution by considering industry weights and criteria. This study uses the implementation of the data management subsystem using MySQL. Meanwhile, the implementation of the model management subsystem uses the weighted product model and the dialog management subsystem uses a website interface that can assist the South Sulawesi Provincial Office of Industry in determining priorities for the development of SMEs.
Co-Authors A. Muh Nur Hidayat Muhammad Nur Akbar Nur Annisa Safitri Yusuf