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Probabilitas Pembayaran Kredit Tepat Waktu Menggunakan Algoritma Naive Bayes Pada Koperasi Serba Usaha Daruzzakah Rensing Lombok Timur Nur Hidayati; Suhartini Suhartini
Infotek: Jurnal Informatika dan Teknologi Vol 4, No 2 (2021): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (607.972 KB) | DOI: 10.29408/jit.v4i2.3573

Abstract

In general, the notion of a cooperative is a business entity that is owned and managed by its members. Meanwhile, multi-business cooperatives are cooperatives whose business activities are in various economic aspects such as savings and loans, production, consumption and services, which consist of people or cooperative legal entities by basing their business activities on the cooperative principle as well as a people's economic movement based on the principle of kinship. This research took place in one of the cooperatives in the village of Rensing, East Lombok, with the cooperative name "Daruzzakah". This cooperative is a multi-business cooperative with one type of activity is to provide savings and loans or credit to its members. The purpose of this cooperative is as an alternative means of borrowing money or credit as well as trying to prevent its members from loan sharks. However, in practice there are problems, namely the number of delays and credit payments that are not on time. Judging from the large number of customers who borrow funds, a strategy is needed to be able to fulfill all of these activities, the increasing number of prospective customers applying for credit with different economic conditions, requiring accuracy in making credit decisions. To avoid this, it should be necessary to analyze member data to determine the feasibility of providing credit, so that it can be classified as whether or not to get a loan. Data analysis can be done using data mining techniques. For this reason, the authors try to provide solutions to these problems by applying the naïve Bayes algorithm in predicting and determining creditworthiness. The Naive Bayes algorithm has been widely used by previous researchers and has high accuracy values. In this study, the Naive Bayes algorithm was used and resulted in an accuracy value of 96.45% with an AUC value of 0.942 which means it is a good classification.
Pelatihan Pemanfaatan TIK Untuk Guru dan Siswa di MA NW Tembeng Putik Muhammad Saiful; Amri Muliawan Nur; Hariman Bahtiar; Yahya Yahya; L M Samsu; Yupi Kuspandi Putra; fathur rahman; Nur hidayati
Jurnal Teknologi Informasi untuk Masyarakat Vol. 1 No. 1 (2023): Jurnal Teknologi Informasi untuk Masyarakat (Teknokrat)
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Teknologi Informasi dan Komunikasi (TIK) dewasa ini menjadi sesuatu yang sangat penting bagi seluruh aspek kehidupan, tak terkecuali dalam dunia pendidikan. Dimana Guru dituntut untuk lebih melek Teknologi dan memanfaatkan TIK untuk mendorong siswa menguasai keterampilan Abad ke 21 agar mereka mampu beradaptasi dengan keberadaan teknologi yang dinamis. Keberadaan TIK dalam dunia pendidikan sebagai media pendukung pembelajaran diyakini dapat membawa perubahan positif dan signifikan terhadap peningkatan kualitas pembelajaran dan minat belajar siswa. Namun faktanya masih banyak Guru yang belum dapat memanfaatkan TIK dalam pembelajaraan secara optimal seperti yang terlihat pada Madrasah Aliyah NW Tembeng Putik Mamben Kecamatan Wanasaba Lombok Timur. Adapun tujuan dari pelaksanaan kegiatan pengabdian kepada masyarakat (PKM) adalah untuk memberikan pemahaman kepada Guru, Santri dan santiwati MA NW Tembeng Putik tentang penggunaan media Teknologi Informasi dan Komunikasi dalam pembelajaran dan sejauh mana peranan ilmu komputer dalam menjalankan kegitan belajar siswa- siswi tersebut.