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All Journal JSM (Jurnal SIFO Mikroskil) Jurnal Informatika Jurnal Pengabdian Mitra Masyarakat (JPMM)
Solehatin Solehatin
Sekolah Tinggi Ilmu Komputer PGRI Banyuwangi
Computer Science & IT Decision Sciences, Operations Research & Management Education Medicine & Pharmacology Social Sciences Other

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Aplikasi Berbasis Web Untuk Pendeteksian Jenis Bunga Menggunakan Algoritma K-NN Solehatin Solehatin
Jurnal SIFO Mikroskil Vol 19, No 2 (2018): JSM Volume 19 Nomor 2 Tahun 2018
Publisher : Fakultas Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (433.271 KB) | DOI: 10.55601/jsm.v19i2.540

Abstract

Flowers are part of plants that have a variety of types and forms. Because of the many varieties of flowers it is sometimes difficult to know the name of a flower that we know. It takes a data that can provide clear information about the name of the interest to be searched for the name of the interest. So needed an application that can provide information from the name of flowers through the detection of interest from a flower picture. Flower type detection can be done by knowing countour and color of flowers and using K-NN method for the classification of types of flowers. So in this study made a web-based application for the detection of interest types because later can help the detection of types of flowers quickly and easily online. This application will provide information related to the interest in the search related to the name of the interest. From the results of research conducted to identify the classification of 74.89%.
Mobile e-detection of Banyuwangi’s citrus fruit maturity using k-nearest neighbor Chairul Anam; Solehatin Solehatin
Jurnal Informatika Vol 14, No 3 (2020): September 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jifo.v14i3.a18183

Abstract

Banyuwangi is the largest oranges-producing city in East Java, and the orange produced is Siamese citrus fruit. Siamese is Banyuwangi local citrus fruit often found at the harvest time and has a sweet taste. To determine the citrus fruit level, people can detect it from the color and texture. In this modern era, people can use an application to determine the citrus fruits' maturity level. From the elements of color and texture, this research will add the citrus fruit's contours, namely the pore size of the citrus fruit and the distance between the curve of the tip of the orange. Taking pictures of citrus fruits will be following the application stages that will be used as the image of inputting the data. The detection is then conducted using the K-NN method based on several criteria based on the input image after the feature extraction process. The feature extraction stages are segmentation, normalization, thresholding, and thinning, which will be produced in several criteria: the maximum RGB value, the minimum RGB value, pore size, and the distance between the tip's curve of the orange. The research results that have been carried out are based on the research stages to get a similarity percentage following the inputted data. The E-Detection application can provide information to citrus farmers, especially beginner citrus farmers, to know the level of fruit maturity oranges to be harvested.
Android Based E-Questionnaire for WIFI Services Solehatin Solehatin; Chairul Anam
Jurnal Informatika Vol 13, No 2 (2019): July 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1143.307 KB) | DOI: 10.26555/jifo.v13i2.a13483

Abstract

In the Banyuwangi regency area there is a wifi service that is specifically for students, government agencies, and urban and rural communities. Hopefully everything can be done quickly and easily by utilizing internet services. To find out the level of utilization of existing services, research is conducted by making an information system. In this study an application system made based on Android using a questionnaire. The application is made based on android in the form of an E-Questionnaire that can help to access and find out the level of utilization of wifi service
Pendampingan Penggunaan Aplikasi Pendeteksian Kematangan Jeruk Berbasis Android Untuk Petani Jeruk Desa Bulurejo Purwoharjo Banyuwangi Solehatin Solehatin; Mirsa Khamilawati; Muhammad Nur Cholis
Jurnal Pengabdian Mitra Masyarakat (JPMM) Vol 3, No 1: April (2021)
Publisher : Universitas Amikom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (107.23 KB) | DOI: 10.35671/jpmm.v3i1.1240

Abstract

Kemajuan ilmu pengetahuan dan teknologi semakin pesat di segala bidang, tidak ketingalan pula di bidang pertanian yang banyak memanfaatkan teknologi. Dalam dunia pertanian, petani menginginkan adanya sebuah aplikasi yang bisa digunakan untuk deteksi kematangan buah jeruk. Para peneliti akhirnya menciptakan alat dari hasil penelitian, sehingga pada bidang pertanian prediksi dan pendeteksian terhadap tanaman juga sudah mulai dilakukan dengan kemajunan dunia teknologi informasi. Pendeteksian yang dilakukan di dunia pertanian salah satu contoh yaitu pendeteksian kematangan buah jeruk dengan menggunakan sebuah aplikasi berbasis web. Aplikasi yang dibuat dengan memanfaatkan ilmu citra gambar yang dihasilkan dengan mengambil gambar buah jeruk berdasarkan color dan countournya. Kemudahan penggunaan aplikasi dapat dilakukan dengan memanfaatkan gadge dan layanan internet dalam mengakses aplikasinya. Pendampingan penggunaan aplikasi kepada para petani dibutuhkan agar memaksimalkan penggunaan aplikasi deteksi oleh para petani. Hasil aplikasi nantinya dapat dimanfaatkan oleh petani jeruk untuk mendeteksi kematangan buah jeruk sebelum di panen agar dapat melakukan panen semaksiamal mungkin. Sehingga dengan adanya pendetesian kematangan buah jeruk dapat memaksimalkan hasil panen petani jeruk dan terbuangnya buah yang tidak layak dipanen akan sedikit. Maka perlu adanya sosialisasi dan pelatihan aplikasi ini terhadap para kelompok petani buah jeruk Kata Kunci: Pendeteksian, Buah Jeruk, Android.
Co-Authors Chairul Anam Mirsa Khamilawati Muhammad Nur Cholis