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All Journal Jutsi: Jurnal Teknologi dan Sistem Informasi Indonesian Journal of Computer Science Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat
Andy Sapta
Sekolah Tinggi Manajemen Informatika dan Komputer Royal
Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Social Sciences

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Prediksi Kelancaran Pembayaran Angsuran Pada Koperasi Dengan Metode Naive Bayes Classifier Suwati; Rolly Yesputra; Andy Sapta
Indonesian Journal of Computer Science Vol. 11 No. 2 (2022): Indonesian Journal of Computer Science Volume 11. No. 2 (2022)
Publisher : STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i2.3080

Abstract

This study aims to predict the smoothness of installment  payments in cooperatives, making it easier for staff to analyze credit lending. Lack of prudence in analyzing credit results in customers who are in arrears in paying installments, resulting in bad credit. To minimize errors that exist, it is necessary to evaluate the provision of loans to prospective debtors. By utilizing past member criteria data in the past that will be used to predict smooth payments using data mining. The data mining technique used is the Naive Bayes classifier method. The prediction process uses the naive Bayes method, namely by determining the probability or opportunity based on the previous member's data, and the results are used to help make a decision. The criteria used are member data: employment, income, house status, number of credits, and type of credit. Based on the naive Bayes method, the results obtained are 90.00% accuracy, 0.880% AUC, 83,33% recall, and 100% precision.
Pelatihan Penggunaan Game Quizizz dalam Meningkatkan Pengetahuan Siswa Tentang Perangkat Komputer Febby Madonna Yuma; Andy Sapta; Parini Parini
Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Vol 2, No 1 (2022): April 2022
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (442.522 KB) | DOI: 10.54314/jpstm.v2i1.952

Abstract

Abstract: In this current era, all students are required to be able to maximize the use of technology in learning. With the influence of increasingly widespread gadgets, making students' interest in learning decrease, it is necessary to have an interesting digital learning application so that students of SMP N 1 Pulo Banding are interested in learning about computer devices. The purpose of this training is to increase students' understanding of SMP N 1 Pulo Banding regarding learning technology using the Quizizz game application in increasing students' knowledge of computer devices. Game Quizzes is a game-based educational application for interactive and fun assessments. The training method is carried out in the form of lectures, discussions, and practice. The evaluation of this training was conducted using an open questionnaire to determine the extent of students' knowledge of computer equipment. The evaluation results show that the use of Quizizz games is very interesting and can increase students' learning motivation. The conclusion of the training shows that there is an increase in students' knowledge of SMP N 1 Pulo Banding about computer equipment. Keywords: quizz game; computer hardware; student; technology  Abstrak: Pada era sekarang ini, semua siswa dituntut untuk dapat memaksimalkan penggunaan teknologi dalam pembelajaran. Dengan pengaruh gadget yang semakin marak, membuat minat belajar siswa semakin menurun, sehingga perlu adanya aplikasi pembelajaran digital yang menarik agar siswa SMP N 1 Pulo Bandring tertarik untuk belajar tentang perangkat komputer.  Tujuan Pelatihan ini untuk meningkatkan pemahaman siswa SMP N 1 Pulo Bandring mengenai teknologi pembelajaran dengan menggunakan Aplikasi game Quizizz dalam meningkatkan pengetahun siswa tentang perangkat komputer. Game Quizziz merupakan aplikasi pendidikan berbasis game untuk penilaian interaktif dan menyenangkan. Metode pelatihan dilakukan dalam bentuk ceramah, diskusi dan praktek. Evaluasi pelatihan ini dilakukan dengan kuesioner terbuka untuk mengetahui sejauh mana pengetahuan siswa tentang perangkat komputer. Hasil evaluasi menunjukan bahwa penggunaaan game Quizizz sangat menarik dan dapat menigkatkan motivasi belajar mahasiswa. Adapun kesimpulan pelatihan menunjukan bahwa terjadinya peningkatan pengetahuan siswa SMP N 1 Pulo Bandring tentang perangkat komputer.            Kata Kunci: game quizizz; perangkat komputer; siswa; teknologi 
PENERAPAN DATA MINING MENGKLASIFIKASI POLA NASABAH MENGGUNAKAN ALGORITMA C4.5 PADA PEGADAIAN TANJUNGBALAI Adela Ainun Damanik; Zulfi Azhar; Andy Sapta
JUTSI: Jurnal Teknologi dan Sistem Informasi Vol 2, No 1 (2022): February 2022
Publisher : LPPM STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jutsi.v2i1.1510

Abstract

Abstract: There are so many people who make credit loans, but there are still many customers who pass the eligibility selection to borrow credit and add to the list of customers with bad credit at Pegadaian Tanjungbalai. In 2020, there were 60 Tanjungbalai residents who made credit loans with different amounts of funds. Of the 60 customers, 25 of them have had many credit arrears in the last few months. The Tanjungbalai Pegadaian party must be able to select customers whose payments are always stuck, especially in suppressing the NPL value. Customer assessment with a good data record needs to be done carefully for further credit. This customer data is very important to analyze in getting the pattern of customers who apply for pawn loans in order to get the current, substandard or bad category. The application of the C 4.5 algorithm to classify customer patterns at Pegadaian Tanjungbalai makes it easier for employees to classify patterns of prospective customers for credit applications, namely eligible and not eligible. Keywords: C4.5 Algorithm; customer data; credit; pawnshops.  Abstrak: Banyak sekali masyarakat yang melakukan pinjaman kredit tetapi masih saja banyak nasabah yang lolos dari seleksi kelayakan untuk meminjam kredit dan menambah daftar nasabah dengan kredit macet pada Pegadaian Tanjungbalai. Pada tahun 2020, tercatat terdapat 60 orang warga Tanjungbalai yang melakukan pinjaman kredit dengan besar dana yang berbeda-beda. Dari 60 orang nasabah tersebut, 25 orang diantaranya telah banyak memiliki tunggakan kredit selama beberapa bulan terakhir. Pihak  Pegadaian Tanjungbalai harus dapat  menyeleksi nasabah yang pembayarannya selalu  macet terutama dalam menekan nilai NPL. Penilaian  nasabah  dengan  record  data  yang  baik perlu dilakukan dengan cermat untuk kredit selanjutnya. Data nasabah ini sangat penting untuk dianalisa dalam mendapatkan pola  nasabah pemohon kredit gadai agar mendapatkan kategori lancar, kurang lancar atau macet. Penerapan algoritma C 4.5 untuk mengklasifikasi pola nasabah di Pegadaian Tanjungbalai memudahkan pegawai untuk mengelompokan pola calon nasabah permohonan kredit yaitu layak dan tidak layak. Kata Kunci: Algoritma C4.5; data nasabah; kredit; pegadaian.
Co-Authors Adela Ainun Damanik Parini Parini Rolly Yesputra Suwati