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All Journal Techno.Com: Jurnal Teknologi Informasi Jurnal Simetris Prosiding SNATIKA Vol 01 (2011) Nusanatara of Engineering Network Engineering Research Operation [NERO] CogITo Smart Journal Jurnal Sains dan Informatika DoubleClick : Journal of Computer and Information Technology Progresif: Jurnal Ilmiah Komputer Generation Journal Jurnal ABDINUS : Jurnal Pengabdian Nusantara JATI (Jurnal Mahasiswa Teknik Informatika) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Teknologi dan Riset Terapan (JATRA) Joutica : Journal of Informatic Unisla Jurnal Inkofar Nusantara of Engineering (NOE) Jurnal Maklumatika Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi)
Ratih Kumalasari Niswatin
Program Studi Teknik Informatika, Fakultas Teknik, Universitas Nusantara PGRI Kediri
Aerospace Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Medicine & Pharmacology Public Health Transportation

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Journal : Nusantara of Engineering (NOE)

 1 
Sistem Informasi Jasa Pernikahan Menggunakan Fuzzy Subtractive Clustering Niswatin, Ratih Kumalasari
Nusantara of Engineering (NOE) Vol 2 No 1 (2015)
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/noe.v2i1.93

Abstract

Abstrak—Penelitian ini membuat sebuahsistem informasi berbasis web yang memberikaninformasi detail tentang pemesanan fasilitasyangada disanggar rias. Sistem informasi inimenyediakan fasilitas paket yang digunakanuntuk memudahkan melakukan interaksi antarasistem dengan user. Sistem juga menyediakanfasilitas dan paket – paket yang dapat digunakanoleh user dalam melakukan pemesanan.Pengembangan sistem informasiini menggunakanmetode clustering. Sistem informasi inimenggunakanpemrograman HTML, PHP danuntuk database-nya menggunakanMySQL.Penelitian ini dapat digunakan untukmengetahui hasil fasilitasyang sering muncul danyang sangat digemari oleh user yang ada padasanggar rias ini.Kata Kunci—Clustering, HTML, PHP, MySql
PEMILIHAN MENU DI KANTIN SESUAI MINAT MAHASISWA DENGAN MENGGUNAKAN METODE PROFILE MATCHING Firliana, Rina; Indriati, Rini; Daniati, Erna; Nugroho, Arie; Niswatin, Ratih Kumalasari; Arie, Theo Yan
Nusantara of Engineering (NOE) Vol 8 No 02 (2025): Volume 8 Nomor 2 - 2025
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/noe.v8i02.24762

Abstract

A canteen business on a campus or college is very profitable for entrepreneurs. Where the canteen serves a variety of food for sale. However, with the many menus provided, it has an effect on cost and labor. Because with the many menus provided, the seller must prepare all the menus, but for the menu, there are those that are sold a lot and some are only sold a few or a little so that the menu that is sold a little is wasted. For this reason, this research aims to help canteen sellers to be more efficient in serving menus that are most in demand by students and which are not in demand by students so that they do not suffer big losses. For this reason, in this study, a decision support system is applied using the Profile Matching method with five criteria used, namely selling price, production price, serving, taste and manufacturing time. For menu options consisting of instant noodles, pecel rice, vegetable rice, kremes chicken, kremes tempeh and soto. From the results of the research, the results of the food menu were obtained which became the main choice among the other alternatives offered. So that canteen sellers can prepare the menu that is most interested in cooking or provided more than the menu that is less in demand and cooked less. And the raw materials prepared are adjusted to the interest rating calculated using the profile matching method.
Optimasi Prediksi Harga Ayam Boiler Berdasarkan Time Series Data dan Kondisi Eksisting Menggunakan Decision Tree Niswatin, Ratih Kumalasari; Setiawan, Ahmad Bagus; Mahdiyah, Umi
Nusantara of Engineering (NOE) Vol 8 No 02 (2025): Volume 8 Nomor 2 - 2025
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/noe.v8i02.24878

Abstract

Predicting the price of boiler chicken is important in the chicken farming industry. Business actors need to have accurate price estimates as a reference in planning production and sales. However, precise and accurate price predictions can be challenging because they are influenced by various factors such as market conditions, demand, supply, and other factors. Therefore, this research was conducted to develop a boiler chicken price prediction method that can optimize prediction results by utilizing time series data and existing conditions using the Decision Tree C.45 algorithm. The aim of this research is to optimize boiler chicken price predictions based on time series data and existing conditions using the Decision Tree C.45 algorithm. By processing time series data and analyzing existing conditions, it is hoped that a more accurate prediction model can be obtained and can provide better results in predicting the price of boiler chicken. Apart from that, by implementing the Decision Tree C.45 algorithm, this research also aims to test the effectiveness of this algorithm in predicting the price of boiler chicken. The result of this research is a system that can accurately predict the price of boiler chicken, so that it can be used as an important basis for making decisions regarding determining the price of boiler chicken and inventory management.
Identifikasi Gejala Dan Penyakit Pada Tanaman Anggur Dengan Metode Forward Chaining Dan Backward Chaining Niswatin , Ratih Kumalasari; Ignatius Juan Hartantiko; Niswatin, Ratih Kumalasari; Setiawan, Ahmad Bagus
Nusantara of Engineering (NOE) Vol 6 No 2 (2023): Volume 6 No 2 Tahun 2023
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/noe.v6i2.20802

Abstract

Penyakit pada tanaman merupakan hal yang sangat mengganggu pertumbuhan pada tanaman itu sendiri, terutama pada tanaman jenis anggur. Pada umumnya petani masih menggunakan cara lama dalam mengidentifikasi suatu penyakit yang timbul pada tanaman dengan cara mengira-ngira jenis penyakitnya melalui gejala yang terlihat oleh mata saja. Mengingat dari beberapa jurnal dan buku yang kami baca, penanganan penyakit pada tanaman anggur harus diatasi secepat mungkin agar tidak berdampak pada pertumbuhan tanaman dan buah anggur. Dalam mengatasi penyakit pada tanaman anggur itu sendiri diperlukan sistem pakar yang dapat membantu para petani dalam menangani penyakit pada anggur secara cepat dengan solusi yang tepat. Jenis penyakit yang sering ditemui pada tanaman anggur diantaranya, Bulai (Downey mildew), Embun tepung (Powdery Mildew), Karat Daun (Phakospora vitis), Busuk kering (Pseudopeziza tracheiphila), Antraknosa (Gloeosporium sp.), Busuk Buah (Gray Mold), Penyakit Gulung Daun (Virus van leaf). Untuk menanggulangi permasalahan tersebut, maka penulis membuat sistem pakar. Sistem pakar ini menggunakan metode Forward Chaining yang mampu menarik kesimpulan dari beberapa gejala dengan menggunakan aturan if, and, then dan metode Backward Chaining yang dapat menarik analisis lengkap tentang suatu penyakit dengan aturan if, then, and. Aplikasi yang dibuat berbasis web, sehingga dapat membantu mempermudah para petani dalam mengakses informasi hanya melalu hampir semua perangkat
Co-Authors ABIDIN, ZANWAR Adi Wibawa, Maistro Eka Bayu Affandi, M. Rizki Ahmad Bagus Setiawan Ahmad Shiddiq, Ahmad Ahmadi, Yansyah Nurullah Aldiansyah, Ahmad Ilham Alfatih, Muhamad Jallu Anasrudin, Rohman Sulton Ardi Sanjaya Arie Nugroho, Arie Arie, Theo Yan Azhri, M. Fahrur Bagus Fadzerie Robby Bagus Setyo Cahyono Bahrudin, Mochamad Ari Cahyo, Galih Nur Danar Putra Pamungkas, Danar Putra Daniel Swanjaya Diah Nurdiwaty Dwi Akbar, Mohamad Anjas Erna Daniati Fadzerie Robby, Bagus Faisol Faisol Fajar Rohman Hariri Fikriansyah, Mochammad Wildan Finanto, Naufal Firman Syah, Azriel Akbar Ginting, Sri Widyanti Hanggara, Nazil Rizqi Heru Suhartono, Wawan Hidayatullah, Sadam Ibrahim, Rahmad Idris Efendi, Idris Ignatius Juan Hartantiko Intan Nur Farida Jayanto, Andin Dwi Julian Sahertian Krisnawan, Apreado Gilang Kurniawan, Muhammad Akbar Kuswantoro, Moch. Yanuariadin Pujo Larasati, Adelya Dwi Linawati Linawati Ludfie, Miftachul Mahdiyah, Umi Mahesa Difa Ramadhan mohamad ihsan Muhaimin, Mohammad Aqil Muttaqien, Hidayatul Niswatin , Ratih Kumalasari Nugraha, Reza Setya Nugraha, Yoga Adi Nugroho, Hargo Dwi Patmi Kasih Prasetya, Bagus Dwi Prastya, Damar Zanuar Eka Putra, Ilham Permana Quluby, I Burhan Rasi, Yoseph Rikardus Resty Wulanningrum Resty Wulanningrum Restyono, Teddy Rezaldy, Donni Ria Permata Sari Rina Firliana Rini Indriati Rini Indriati Risa Helilintar Risa, Helilintar Risky Aswi R, Risky Rismantoro, Ganang Rizakatama, Moh. Rohman Rony Heri Irawan Salam, Mohammad Ibnu Salfa Kholida Eka Putri Saputra, Nanda Wibi Satria, Akhbar Setiawan, Bangkit Abraham Putra Setiawan, M. Debby Candra Setyowati, Marshela Dewi Se’bianto, Yogik Sihabudin, Erik Siregar, Muhammad Fariz Hardiansyah Surya, Wahyu Baskara Taufiqurrahman Taufiqurrahman Trianto, Bagus Ulfatus Syaidah Valentino, Irgis Prahara Vivi Ratnawati Vivi Wahyuni, Vivi