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All Journal Insect (Informatics and Security) : Jurnal Teknik Informatika Jikom: Jurnal Informatika dan Komputer
Saputra, Tirta Romadhon Cipta
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Computer Science & IT Control & Systems Engineering Engineering

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Natural Language Processing (Nlp) Pada Rancang Bangun Sistem Pakar Untuk Diagnosis Penyakit Tanaman Seledri Yusuf, Muhammad; Saputra, Tirta Romadhon Cipta; Jes, Billy
Jurnal Informatika dan Komputer Vol 15 No 1 (2025): April
Publisher : Sekolah Tinggi Ilmu Komputer PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55794/jikom.v15i1.267

Abstract

Celery (Apium graveolens) has a high economic value because it is widely used as a food ingredient, cooking spice, and even herbal medicine. However, sometimes the cultivation of this plant faces various challenges, especially diseases and pests that can reduce its quality and yield. This study aims to develop an expert system based on Natural Language Processing (NLP) with a Retrieval-Augmented Generation (RAG) approach to help diagnose plant diseases quickly and accurately. This research was conducted using the Extreme Programming development method. The research methodology includes identifying celery cultivation problems, collecting data from experts regarding various symptoms, celery diseases, and effective treatments, and developing RAG using Transformer-based embedding techniques that have proven effective in capturing context and relationships between words. This system uses forward chaining reasoning to ensure that the solutions provided are generated through an inference process from initial facts such as symptoms to reach appropriate conclusions. These results show that this system is able to identify disease symptoms from user text input with 97.14% accuracy and provide relevant solutions. Equipped with speech-to-text, text-to-speech features, as well as the ability to copy answer results and delete conversation history to make it easier for users.
APLIKASI ANDROID BERBASIS ROOT UNTUK PENGUNCIAN EARFCN DAN PCI PADA JARINGAN LTE Surahmanto, Muhammad; Yusuf, Muhammad; Saputra, Tirta Romadhon Cipta
Insect (Informatics and Security): Jurnal Teknik Informatika Vol. 12 No. 01 (2026): Maret 2026
Publisher : Universitas Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33506/insect.v12i01.5423

Abstract

Penguncian parameter radio pada jaringan Long Term Evolution (LTE), khususnya Physical Cell Identity (PCI) dan E-UTRA Absolute Radio Frequency Channel Number (EARFCN), umumnya dilakukan menggunakan perangkat modem khusus atau perangkat lunak berlisensi. Penelitian ini berfokus pada perancangan dan implementasi aplikasi berbasis Android yang mampu melakukan lock PCI dan EARFCN langsung dari sisi perangkat pengguna dengan memanfaatkan akses root untuk memperoleh kendali tingkat lanjut terhadap antarmuka modem. Sistem dikembangkan untuk memengaruhi proses seleksi sel sehingga koneksi perangkat dapat diarahkan ke sel target sesuai parameter yang ditentukan. Tahapan penelitian meliputi perencanaan kebutuhan sistem, perancangan alur kerja aplikasi, pembuatan, serta pengujian melalui beberapa skenario sebelum dan sesudah proses lock diterapkan. Hasil pengujian menunjukkan adanya perubahan sel yang terlayani setelah mekanisme lock dijalankan, yang ditandai oleh pergantian PCI aktif, perubahan frekuensi pada salah satu skenario, serta variasi estimasi jarak berdasarkan nilai Timing Advance (TA). Temuan ini membuktikan bahwa aplikasi yang dikembangkan mampu melakukan penguncian parameter radio pada perangkat Android yang telah di-root dan memberikan pengaruh nyata terhadap proses koneksi radio tanpa memerlukan perangkat modem tambahan atau perangkat lunak komersial berlisensi.
Co-Authors Jes, Billy Muhammad Yusuf Surahmanto