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All Journal INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Generation Journal
Duesa, Made Ayu
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Computer Science & IT Decision Sciences, Operations Research & Management

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Made MODELSISTEM PENDUKUNG KEPUTUSAN USULAN PEMBERIAN KELAYAKAN KREDIT MOTOR DI MPM FINANCE Duesa, Made Ayu
Generation Journal Vol 1 No 1 (2017): Generation Journal
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (69.778 KB) | DOI: 10.29407/gj.v1i1.526

Abstract

Abstrak–Kredit memberikan kemudahan masyarakat dalam melakukan pembayaran karena dilakukan secara bertahap. Keadaan ini mendorong pemohon kredit semakin meningkat. Sehingga perusahaan dituntut harus selektif dalam memberikan pinjaman untuk mengantisipasi adanya resiko kredit macet. Kegiatan seleksi kelayakan pemohon kredit di MPM Finance masih dikerjakan secara manual. Bahkan pertimbangan untuk pemohon kredit dilakukan secara perseorangan dan tidak menggunakan perhitungan secara rinci. Hal ini mengakibatkan adanya indikasi resiko kredit macet.Untuk mengurangi kesalahan pemberian kelayakan kredit, diperlukan sistem pendukung keputusan. Permasalahan pada penelitian ini adalah bagaimana merancang model sistem pendukung keputusan dengan menggunakan metode Topsisuntuk memberikan kelayakan pemberian kredit motor. Metode Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) didasarkan pada konsep dimana alternatif terpilih yang terbaik tidak hanya memiliki jarak terpendek dari solusi ideal positif, namun juga memiliki jarak terpanjang dari solusi ideal negatif, konsepnya sederhana dan mudah dipahami. Penelitian ini menghasilkan nilai perhitungan yang dapat dijadikan pertimbangan dalam pengambilan keputusan. Adanya modelsistem tersebutmembantumemutuskan pemberian kelayakan kredit yang lebih mudah dan efektif sesuai kriteria yang diinginkan. Kata Kunci— Sistem pendukung keputusan, kredit, motor,TOPSIS
Monitoring and Notification System Air Quality Against Carbon Monoxide in The Study Room IoT based Duesa, Made Ayu; Sari, Kartika Rahayu Tri Prasetyo
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 5 No 1 (2021): February 2021
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (557.63 KB) | DOI: 10.29407/intensif.v5i1.14844

Abstract

The increase in human activities has triggered air pollution, especially in school areas. It results from various kinds of gases from exhausts or combustion that harm health and air quality for the community. The source of air pollution from motorized vehicles is one of the most significant contributors to air pollution in the school area. To prevent and control air pollution, a tool is needed to measure the gas levels. In this study, the tool used has a feature of monitoring air quality with the Internet of Things (IoT) platform. An essential part of this device is a sensor based on a microcontroller, where The device will send the data obtained by the MQ135 sensor module to the IoT platform. People can access information about air quality via smartphone devices for air quality information in the study room. This study's average result in detecting air quality is 495, indicating a moderate level of air pollution. With the existence of an air quality monitoring and notification system in this study room, it has the potential for awareness about the importance of healthy air quality for the community, especially students who will become the nation's next-generation students 8 hours learning environment.
Co-Authors Sari, Kartika Rahayu Tri Prasetyo