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IMPLEMENTASI ALGORITMA BACKPROPAGATION UNTUK MEMPREDIKSI JUMLAH PENGUNJUNG WISATA MUSIUM (STUDI KASUS DI MUSIUM SUNAN DRAJAT) Muhammad Hasan Wahyudi; Purnomo Hadi Susilo
Joutica Vol 6, No 1 (2021): Jurnal Teknik Informatika
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (357.9 KB) | DOI: 10.30736/jti.v6i1.518

Abstract

Metode peramalan dalam teknologi komputasi sangatlah beragam, beberapa metode yang ada antara lain Peramalan ARIMA, Adaptive Neuro-Fuzzy Inference System (ANFIS), dan Jaringan Saraf Tiruan (JST). Pada artikel ini menyampaikan tentang usaha sebuah penelitian dengan tujuan untuk menerapkan dan mengetahui kinerja jaringan saraf dalam memprediksi jumlah pengunjung wisata museum (studi kasus di musium Sunan Drajat Lamongan). Metode yang digunakan adalah Matlab yang digunakan untuk menganalisis sebuah data yang kemudian dibentuk sebuah arsitektur jaringan terbaik aktif meramalkan jumlah pengunjung musium Sunan Drajat dengan skema 2-6-1 (2 neuron masukan, lapisan tersembunyi 6 neuron, satu neuron output) dengan nilai MSE terkecil 0,00000000277. Nilai MSE selama pelatihan sebesar 7858.75 sedangkan pada saat pengujian di 5.309.807.667. Kesalahan rata-rata hasil simulasi peramalan jumlah wisatawan ke musium Sunan Drajat dalam periode dari Maret hingga Mei 2019 sebesar 9,5%.
Smart Drip Irrigation System Based on IoT Using Fuzzy Logic Walid, Miftahul; Ashar, Muhammad; Wahyudi, Muhammad Hasan
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 8 No 1 (2024): February 2024
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/intensif.v8i1.21351

Abstract

The absence of a water drip rate control system in drip irrigation systems has impacted water use efficiency and normalization of soil moisture. Therefore, this research aims to develop an intelligent system using the fuzzy logic method to control the rate of water droplets in a drip irrigation system and maintain soil moisture in normal conditions. The DHT22 sensor is used to obtain temperature and humidity values, which are then used as input data and processed by the ESP32 microcontroller, which includes a fuzzy system. The Internet of Things (IoT) is also used to send data from the microcontroller to the Thingspek web server. The Blynk application is used to make it easier to monitor temperature, humidity, and water droplet rate values. The results of this research show that the temperature accuracy values produced using the MSE evaluation were 6.66667 and RMSE were 2.58199, while for temperature, the values for MSE were 0.128333 and RMSE were 0.358236. The average value of soil moisture produced in the planting medium is 44.46%; this value is within normal conditions for chili plants, where normal soil moisture conditions range between 40% - 60%
The Application of The C4.5 Algorithm Method Calculation The Number of Sales of Paving Production on CV. SR Lamongan Agus Setia Budi; Muhammad Hasan Wahyudi
Generation Journal Vol 10 No 2 (2026): Generation Journal
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/gj.v10i2.27766

Abstract

Paving production is essential for ensuring proper road infrastructure for the community. The amount of paving demand in each month is uncertain, so it is challenging for company owners to maintain optimal inventory levels to maximize profits. The purpose of this research is to design a decision support system (SPK) to help company owners determine sales decisions in the future and make it easier to decide whether or not the paving sales are in demand. The method used in this study is the C4.5 Algorithm method. From the results of this study, it was found that the C4.5 Algorithm method is the most appropriate method in determining sales decisions in the next period. The sample used is data from CV. SR Lamongan has been in sales for the last 2 years. There are 25 paving production data used for the sample. From there, the recommended method in calculating sales in the following year can be obtained, namely using the C4.5 Algorithm method due to its higher accuracy rate, achieving up to 76%.
Aplikasi Persewaan Bus Pariwisata Pada PT. Empat Putra Jaya Trans Berbasis Website Muhammad Nur Fikri Alfarisi; Kemal Farouq Mauladi; Muhammad Hasan Wahyudi
Jurnal Kajian Ilmu dan Teknologi (JKIT) Vol. 3 No. 1 (2026): Jurnal Kajian Ilmu dan Teknologi (JKIT)
Publisher : Rumah Jurnal PT Citra Air Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71200/fxemaw18

Abstract

Perkembangan teknologi informasi yang pesat memberikan dampak besar dalam berbagai aspek PT. Empat Putra Jaya Trans adalah penyedia jasa sewa bus pariwisata dimana dalam proses penyewaan masih menggunakan sistem konvensional, seperti kunjungan langsung atau pesan WhatsApp. Sistem ini dinilai kurang efektif karena memperlambat akses informasi dan proses administrasi. Penelitian ini merancang aplikasi persewaan bus berbasis web dengan metode SDLC model waterfall, mencakup analisis, desain, implementasi, pengujian, dan pemeliharaan. Teknologi yang digunakan meliputi PHP Laravel dan MySQL. Aplikasi menyediakan fitur registrasi, pemilihan bus dan destinasi, input titik penjemputan, perhitungan biaya, pembayaran, dan cetak nota. Admin dapat mengelola data bus, pengguna, destinasi, penyewaan, dan laporan transaksi. Hasilnya, aplikasi mampu meningkatkan efisiensi, kualitas layanan, dan jangkauan pasar, sekaligus menjadi solusi digitalisasi manajemen persewaan transportasi wisata.