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All Journal RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Instal : Jurnal Komputer
Kartini, Siti Agus
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Engineering

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Digital Library Management Infor Digital Library Management Information System at Smk Tritech Informatika Medan Irwan; Kartini, Siti Agus; Sabila, Puji Chairu
Bahasa Indonesia Vol 15 No 02 (2023): Instal : Jurnal Komputer Periode (Juli-Desember)
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalkomputer.v15i02.178

Abstract

Information system is a system that combines human activities and the use of technology to support management and operational activities. A library is a place that contains a collection of books and other reading materials that are systematically arranged according to the rules so that they can used as a source of information. SMK Tritech Informatics Medan is one of the schools that have library facilities. In library management, it is generally not systemized or computerized, still doing data processing is still manual, by writing in ledgers related to information laying of reading books, writing library memberships, borrowing books and returning books and the difficulty of calculating late repatriation penalties. Another problem is also the difficulty of library employees finding member data and free libraries from each member. Based on this, it is hoped that later the existence of a digital library management information system can help librarians in solving problems and managing libraries well, easily and effectively at SMK Tritech Informatika Medan.
Smart Home System Design Using NodeMCU Based on the Internet of Things (IoT) Irwan, Irwan; Kartini, Siti Agus; Sabila, Puji Chairu
Bahasa Indonesia Vol 16 No 03 (2024): Instal : Jurnal Komputer
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalinstall.v16i03.224

Abstract

The Internet of Things is automation in all fields of activities and aspects of life through technology, electronic connections or digital connections across devices and fields. IoT is the latest technology trend that continues to develop and provides the latest innovations in various sectors, one of which is controlling electrical devices remotely through the internet of things. This system can help make it easier to control without the need to do it manually. With many rooms in a building, it can shorten the time so that you don't have to check the rooms one by one again. The system is implemented using NodeMCU, relay, Apple HomeKit, and Siri (voice) as the system interface. The system takes an average of 0.4 - 3.3 seconds to respond to commands from Apple HomeKit and Siri via a Wifi connection with a distance of 1-10 meters based on monitoring results, and the electrical power control and monitoring system can function properly. The length of the system's response time is not affected by distance, but rather by the network. This system accessed using Wifi is the most effective alternative compared to using longer SMS and Bluetooth with a shorter range. With the implementation of IoT technology, humans can be more effective, efficient, economical, and easy in monitoring and controlling electrical devices at home.
PENERAPAN JARINGAN SARAF TIRUAN DENGAN ALGORITMA PERCEPTRON PADA DETEKSI PENYAKIT BAWANG MERAH Bunda, Yola Permata; Kartini, Siti Agus; Nasution, Muhammad Romi; Supriyanto, Asep; Mustafa, Satria Riki
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 9 No 2 (2024): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v9i2.4800

Abstract

Penelitian ini difokuskan pada kemajuan sistem deteksi penyakit bawang merah (Allium ascalonicum) menggunakan Jaringan Saraf Tiruan (JST) dengan Algoritma Perceptron. Bawang merupakan komoditas hortikultura penting dengan kepentingan ekonomi yang substansif di Indonesia. Namun, produksi bawang merah sering terhambat oleh berbagai penyakit yang dapat menyebabkan kerugian signifikan. Identifikasi tepat waktu dan pengelolaan yang efektif terhadap penyakit tersebut sangat penting untuk mengurangi dampak buruknya. Sistem pakar yang memanfaatkan kecerdasan buatan, khususnya JST, telah terbukti efektif dalam deteksi penyakit tanaman. JST meniru cara kerja otak manusia dalam mengenali pola dan membuat keputusan berdasarkan data yang diperoleh. Penelitian ini menggunakan data gejala penyakit bawang merah yang terdiri dari 13 gejala dan 7 jenis penyakit. Setiap gejala dan penyakit dihubungkan dalam basis pengetahuan yang kemudian dianalisis menggunakan Algoritma Perceptron. Perceptron adalah algoritma pembelajaran terawasi yang digunakan untuk klasifikasi dan pengenalan pola. Proses pelatihan melibatkan inisialisasi bobot dan bias, perhitungan respon output, dan penyesuaian bobot jika terjadi kesalahan. Hasil akhir dari sistem ini adalah identifikasi jenis penyakit yang menyerang bawang merah berdasarkan gejala yang diamati. Implementasi sistem ini mencakup tampilan home, tampilan diagnosa, dan tampilan hasil diagnosa. Sistem ini memungkinkan pengguna untuk melakukan diagnosa penyakit bawang merah dengan menjawab pertanyaan terkait gejala yang diamati. Hasil diagnosa akan menampilkan jenis penyakit dan solusi yang disarankan. Penelitian ini menunjukkan bahwa Algoritma Perceptron dapat diterapkan secara efektif dalam sistem deteksi penyakit bawang merah, membantu petani dalam mengidentifikasi dan mengelola penyakit dengan lebih cepat dan akurat.
Co-Authors Bunda, Yola Permata Irwan Irwan Irwan Nasution, Muhammad Romi Sabila, Puji Chairu Satria Riki Mustafa, Satria Riki Supriyanto, Asep