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All Journal Journal of Innovation Information Technology and Application (JINITA) International Journal of Artificial Intelligence and Robotics (IJAIR) Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi)
Bonifacius Vicky Indriyono
Universitas Dian Nuswantoro
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Transportation

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Implementasi K-Means Clustering Pada Sistem Pakar Penentuan Jenis Sayuran Nur Budi Nugraha; Erna Alimudin; Bonifacius Vicky Indriyono
Journal of Innovation Information Technology and Application (JINITA) Vol 4 No 2 (2022): JINITA, December 2022
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (869.542 KB) | DOI: 10.35970/jinita.v4i2.1627

Abstract

Indramayu is one of the regencies in West Java Province that produces food crop production in the agricultural and plantation sectors. Many people work in the agricultural sector, one of which is by growing vegetables on their land. Planting vegetables on land in the Indramayu area often experiences problems, for example the land used is not in accordance with the type of vegetables grown. Some farmers have difficulty in evaluating land due to their lack of understanding of the land to be planted so that farmers rely on the system of planting habits that they usually do. The wrong land selection can result in energy and financial losses used for maintenance. Vegetables will develop imperfectly, even vegetables can die because of the inappropriateness of the land used. This study aims to assist farmers in determining what types of vegetable crops can be planted on their land using the k-means clustering method. There are 7 data criteria used for processing k-means so that later it can produce output a recommendation of vegetable types that can be planted by farmers according to the criteria they enter into the system. The results of this study produce an expert system that can provide information about vegetables selected according to the criteria selected by each user and with this system, ordinary people can find out how the selection of types of vegetables is practically on the land to be planted with vegetables.
Expert System for Detecting Diseases of Potatoes of Granola Varieties Using Certainty Factor Method Bonifacius Vicky Indriyono; Moch. Sjamsul Hidajat; Tri Esti Rahayuningtyas; Zudha Pratama; Iffah Irdinawati; Evita Citra Yustiqomah
International Journal of Artificial Intelligence & Robotics (IJAIR) Vol. 4 No. 2 (2022): November 2022
Publisher : Informatics Department-Universitas Dr. Soetomo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (362.132 KB) | DOI: 10.25139/ijair.v4i2.5312

Abstract

The low productivity of potatoes is caused by many factors, including the very low quality of the seeds used, poor storage, climate, capital, limited farmer knowledge, and attacks by plant-disturbing organisms, especially diseases. Not only that, many farmers are still unfamiliar with the various diseases that can attack potato plants, or their knowledge about potato plant diseases is incomplete. This study aims to design and develop an expert system web-based application technology using the Certainty Factor (CF) method to detect potato disease symptoms. The CF method defines a measure of the capacity of a fact or provision to express the level of an expert's belief in a matter experienced by the concept of belief or trust and distrust or uncertainty contained in the certainty factor. The results showed that the CF method could function optimally in detecting potato plant diseases which can help farmers based on the symptoms that appear with an accuracy value of 94%.
Optimalisasi Keamanan Data Teks Menggunakan Kombinasi Algoritma Kriptografi ElGamal Dan Vigenere Cipher Bonifacius Vicky Indriyono; Natalinda Pamungkas; Wildan Mahmud; Zudha Pratama; Imelda Dimentieva; Pita Mellati
Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Vol. 7 No. 1 (2023): SEMINAR NASIONAL INOVASI TEKNOLOGI 2023
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/inotek.v7i1.3400

Abstract

Tidak dapat disangkal bahwa perkembangan teknologi informasi saat ini menyebabkan peningkatan kebutuhan akan informasi. Peningkatan ini memicu timbulnya kejahatan terhadap informasi yang ditukar, baik dalam bentuk pencurian maupun penyadapan informasi. Akibatnya, informasi yang seharusnya bersifat rahasia menjadi dapat diakses oleh pihak yang tidak berkepentingan. Untuk menjaga kerahasiaan informasi, diperlukan metode tertentu. Salah satu metode yang bisa dipakai adalah algoritma kriptografi ElGamal dan Vigenere Cipher. Algoritma ElGamal adalah algoritma kriptografi kunci publik yang menggunakan kunci publik untuk enkripsi dan untuk dekripsi nya menggunakan kunci privat. Sementara itu, Vigenere Cipher adalah metode enkripsi alfabetik di mana teks dienkripsi melalui pergeseran karakter yang berbeda dalam teks. Penelitian ini bertujuan untuk meningkatkan keamanan pesan teks dengan menggabungkan algoritma ElGamal dan Vigenere Cipher. Hasil pengujian menunjukkan bahwa pesan teks yang dienkripsi dengan menggunakan Vigenere Cipher dan ElGamal menjadi makin sulit untuk diakses oleh pihak yang tidak berwenang karena adanya banyak pergeseran karakter serta penggunaan kunci yang lebih kompleks.
Co-Authors Erna Alimudin Evita Citra Yustiqomah Iffah Irdinawati Imelda Dimentieva Moch. Sjamsul Hidajat Natalinda Pamungkas Nur Budi Nugraha Pita Mellati Pratama, Zudha Tri Esti Rahayuningtyas Wildan Mahmud