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Autocomplete Indonesian Dictionary with Trie and Depth-First Search Algorithm Aaqila Dhiyaanisafa Goenawan; Abdullah Ammar; Mutiara Persada Pulungan; Desy Komalasari
Jurnal Ilmiah Teknik Informatika dan Komunikasi Vol. 2 No. 1 (2022): Maret : Jurnal Ilmiah Teknik Informatika dan Komunikasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (697.649 KB) | DOI: 10.55606/juitik.v2i1.325

Abstract

In the current era of technology, the internet provides many conveniences for our daily lives. There are no limitations in accessing the internet, we can even search for information that we do not know through the internet. One of them is by using an electronic dictionary. By using the electronic dictionary the user only needs to enter a keyword and the machine will search for the appropriate data. But when the user finishes entering the word in the search engine, the word is not necessarily found, this makes the electronic dictionary less than optimal in terms of time usage. Therefore, we use the autocomplete feature with the trie data structure and the dfs algorithm in order to shorten the time the user is typing a word, where this feature will display a list of words that the user might mean without having to type the word in full.
SISTEM PAKAR UNTUK MENDIAGNOSIS PENYAKIT TUMOR OTAK MENGGUNAKAN METODE CERTAINTY FACTOR (CF) Abdullah Ammar; Sirajudin Hawari; Trevy Jonatya Novella; Ahlijati Nuraminah
JURAL RISET RUMPUN ILMU TEKNIK Vol. 1 No. 2 (2022): Oktober : Jurnal Riset Rumpun Ilmu Teknik
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (928.856 KB) | DOI: 10.55606/jurritek.v1i2.594

Abstract

ABSTRAK The development of computer technology helps many aspects of life. One aspect of life that takes advantage of technological developments is the health sector, in order to solve problems including brain tumors. Brain Tumor Disease is the growth of abnormal cells in or around the brain in an unnatural and uncontrolled manner. Patients with brain tumors continue to increase every year, because the initial symptoms are often underestimated. Therefore created a software that can help diagnose brain tumors using the certainty factor method
Analisis Papan Komposit Dari Bahan Dasar Tempurung Kluwak Dan Kulit Buah Aren Sebagai Pengganti Material Papan Kayu Heri Suryaman; Abdullah Ammar; Ignatius Blaier; Dimas Kristian Rega Pramono; Dawam Mulia; Fitria Nova Dewi Suyono Putri
Jurnal Nusantara Berbakti Vol. 1 No. 4 (2023): Oktober : Jurnal Nusantara Berbakti
Publisher : Universitas Kristen Indonesia Toraja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/jnb.v1i4.249

Abstract

The high level of development in Indonesia has led to the need for wooden boards, which can cause damage to the ecosystem due to the continuous cutting of trees in the forest. There is a need for alternative raw materials to replace wooden boards for building purposes. Kluwak shells and aren fruit peels were chosen as the main raw materials for making composite boards in this research activity because these materials are high in cellulose content. This research was conducted to determine the effectiveness of composite boards made from kluwak shells and aren fruit peels as a substitute for wooden boards for building purposes. The research data collection process used experimental methods, while the analysis and discussion process used descriptive-quanlitative methods. The results showed that aren fruit peels powder is less suitable for use as raw material for making composite boards, because the powder grains are too fine, making it difficult to be bound by the matrix. While kluwak shell powder is quite suitable to be used as raw material for making composite boards, because the powder grains are not too fine so they can be bound by the matrix