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All Journal Generation Journal JITU : Journal Informatic Technology And Communication
Muh Aris Saputra
Universitas Nusantara PGRI Kediri
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Library & Information Science

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Muhamad Pemilihan Jurusan untuk Siswa Kelas X menggunakan Weigted Product Saputra, Muhamad Aris
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 (69.754 KB) | DOI: 10.29407/gj.v1i1.529

Abstract

Abstrak–Pendidikan merupakan kewajiban bagi setiap anak. Terutama didalam proses penentuan pilihan jurusan. Hasil pengamatan di SMA Negeri 1Kandatbahwa dalam menentukan penjurusan siswa, pihak sekolah masih menggunakan sistem manual dan belum terkomputerisasi. Akibatnya kegiatan operasional sekolah sering terhambat atau terkendala dengan waktu, kesalahan teknik baik penulisan maupun penyajian informasi yang diinginkan. Untuk itu di butuhkan sistem pendukung keputusan dalam menentukan penjurusan siswa yang bertujuan mempermudah guru kesiswaan dalam mengambil keputusan penjurusan dengan sistem yang terkomputerisasi. Perancangan sistem ini menggunakan metode WP(Weighted Product)dan berbasiskan web. Metode WPdipilih karena berdasarkan pada konsep dimana rating setiap atribut harus dipangkatkan dulu dengan bobot atribut yang bersangkutan sehingga akan diperoleh diperoh nilai atribut yang terbaik.Hasil yang diperoleh dari penelitian ini adalah penentuan penjurusan berdasarkan perangkingan dari metode WP yang dijadikan sebagai alternatif dalam pengambilan keputusan menurut kriteria dan bobot setiap masing-masing kriteria. Berdasarkan kesimpulan hasil penelitian ini bahwa sistem pendukung keputusan penentuan penjurusan siswa di SMA Negeri 1 Kandat menggunakan metode WP telah menunjukkan penentuan penjurusan.Penambahan data siswa dan data nilai dapat dilakukan dan tersimpan dalam database. Kata Kunci—Sistem Pendukung Keputusan, WP, sekolah
Forecasting the Price Movement of Volatility Index using the Fuzzy Tsukamoto Method and Dstat Metric Evaluationindonesia Utomo, Wahyu Cahyo; Saputra, Muh Aris
Generation Journal Vol 7 No 1 (2023): Generation Journal
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/gj.v7i1.19605

Abstract

Volatility index is one of the assets traded in trading activities. In this activity there are two possibilities that can be done by traders, namely buy and sell actions. This is the main problem in forecasting in the world of finance. With these two opportunities, an analysis is needed to estimate the direction of price movement correctly. In addition in trading the subjectivity factor sees very high price movements. In a sense, each individual trader has his own assumptions. So a non-subjective analysis system is needed. Based on these challenges, this research will focus on forecasting with a non-subjective approach with fuzzy logic or more precisely Fuzzy Tsukamoto and Dstat metric as an evaluation of the level of correctness of the prediction direction. From the results that have been tested in the study, the Fuzzy Tsukamoto Method by reading the Relative Strength Index and Stochastic Oscillators indicators received an evaluation value that met the trading industry standards of 64.13%.
Pengamatan Cuaca Lokal secara Multi Node dengan Internet of Things dan Django Framework Saputra, Muh Aris; Utomo, Wahyu Cahyo; Setiawan, Ahmad Bagus; Ramadhanu, Ilham Khefi
JITU Vol 8 No 1 (2024)
Publisher : Universitas Boyolali

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

Abstract

Weather is one of the challenges that humans must experience in their activities. Like the MSMEs of sand crackers in Kediri Regency. This MSME uses sunlight as a means of drying products. What often becomes a problem is unpredictable weather conditions which reduce productivity and quality. Therefore, a real-time local weather observation system is needed to anticipate sudden weather changes. In this research, an IoT-based local weather condition measurement tool will be connected to a system built using the Django framework. This system and tools were tested for eight days. So it was concluded that the system was successfully built with data collection accuracy of 96.31%. Measurements are carried out every 5 minutes or a time frame of 5 minutes. In addition, this system supports observations in several places at once. This multiple node concept is used to detect local weather changes in the surrounding area. So it is not concentrated in the MSME area.
Co-Authors Ahmad Bagus Setiawan Ramadhanu, Ilham Khefi Wahyu Cahyo Utomo