Judul
: Aplikasi Pengecekan Ejaan Kata Berimbuhan Dalam Bahasa Indonesia Berbasis Web
Nama
: Kharisma Sadewi Satria
NIM
: 1208605004
Pembimbing I
: I Made Widiartha,S.Si.,M.Kom.
Pembimbing II
: I Putu Gede Hendra Suputra,S.Kom.,M.Kom. ABSTRAK
Penulisan kata berimbuhan dalam Bahasa Indonesia saat ini sangat penting terutama dalam pengetikan dokumen bersifat formal maupun informal pada komputer. Penulisan yang benar akan membuat pembacaan atau pengejaan dan pengartian yang benar pula. Pada penelitian ini bertujuan untuk membangun sistem yang bisa memberikan saran dari hasil suatu kata berimbuhan yang sesuai dengan aturan penulisannya dalam Bahasa Indonesia. Untuk menentukan saran kata berimbuhan yang benar maka sistem harus bisa mendapatkan imbuhan dan kata dasar dari kata berimbuhan yang diinputkan user. Salah satu cara untuk mendapatkan imbuhan dan kata dasar adalah dengan menerapkan algoritma string matching. Algoritma yang digunakan pada penelitian ini adalah algoritma string matching KMP (Knuth-Morris-Pratt). Algoritma KMP menentukan imbuhan dengan melakukan proses string matching antara inputan user dengan data imbuhan dan kata dasar dari database. Dari hasil pengujian akurasi untuk mendapatkan imbuhan dan kata dasar dengan algoritma KMP adalah 81.94%. Nilai tersebut merupakan hasil imbuhan dan kata dasar dari sistem yang sudah sesuai dengan kaidah penulisan kata berimbuhan. Penelitian ini masih memiliki kelemahan pada penyaranan kata yang memiliki lebih dari 1 hasil yang benar. Maka dari itu, diperlukan penambahan kondisi untuk mengecek saran kata sebagai antisipasi adanya saran yang mempunyai lebih dari 1 kata berimbuhan yang benar sehingga tidak menimbulkan keambiguan dalam pemberian saran.
Kata Kunci: pengecekan ejaan, kata berimbuhan, string matching, algoritma KMP.
Title
: Web-Based Application of Spelling Checker of Indonesian Affixed Words
Name
: Kharisma Sadewi Satria
Registration
: 1208605004
First Supervisor : I Made Widiartha,S.Si.,M.Kom. Second Supervisor: I Putu Gede Hendra Suputra,S.Kom.,M.Kom.
ABSTRACT Writing the correct spelling of affixed words in Indonesian is very important today, especially in typing both formal and informal document on the computer. The correct typing will make the correct reading or spelling and meanings too. This research aimed to develop a system that can give advice on the results of affixed words that meet rules of writing in Indonesian Language. To determine the correct affixed word suggestions, the system should be able to get affixes and the roots of the affixed words the user entered. One way to get affixes and the roots is to implement a string matching algorithm. The algorithm used in this study was the string matching algorithm of KMP (Knuth-Morris-Pratt). KMP algorithm determines affixes by performing string matching process between the user input with the data of affixes and the roots from the database. The accuracy of the test results showed that in order to get affixes and root words with KMP algorithm was 81.94%. The value was the result of affixes and the roots of the system that is in conformity with the rules of writing affixed words in Indonesian. This study has limitations on the suggestion of the words that have more than one correct result. Therefore, it is necessary to additional conditions, to check the word suggestions in anticipation of the availability of word suggestions that have more than one correct affixed word so as to avoid ambiguity in the word suggestions.
Keywords: spell checking, affixed word, string matching, KMP algorithm.
KATA PENGANTAR Puji syukur penulis panjatkan kehadapan Tuhan Yang Maha Esa, karena berkat rahmat dan karunia-Nya, Laporan Tugas Akhir yang berjudul “Aplikasi Pengecekan Kata Berimbuhan Dalam Bahasa Indonesia Berbasis Web” ini dapat diselesaikan tepat pada waktunya. Secara khusus penulis mengucapkan terima kasih dan penghargaan kepada berbagai pihak yang telah membantu dalam penyelesaian Laporan Tugas Akhir ini, yaitu : 1.
Bapak I Made Widiartha,S.Si.,M.Kom sebagai Pembimbing I yang telah banyak
membantu
membimbing
dan
memberikan
saran
untuk
penyempurnaan tugas akhir ini; 2.
Bapak I Putu Gede Hendra Suputra,S.Kom.,M.Kom sebagai Pembimbing II yang telah bersedia meluangkan waktu untuk mengoreksi serta memberikan saran selama penyusunan tugas akhir ini;
3.
Bapak dan Ibu dosen di Jurusan Ilmu Komputer yang telah meluangkan waktu turut memberikan saran dan masukan dalam penyempurnaan penelitian ini;
4.
Orang Tua, teman - teman di Jurusan Ilmu Komputer, dan Semua pihak yang telah memberikan dukungan moral dan semangat dalam penyelesaian penelitian ini;
Disadari pula bahwa tentu skripsi ini masih mengandung kelemahan dan kekurangan sehingga penulis berharap skripsi ini mampu memberikan inspirasi kepada pembaca dan menemukan ide-ide baru yang dapat dibuat menjadi topik penelitian selanjutnya. Bukit Jimbaran, Penyusun,
Kharisma Sadewi Satria
DAFTAR ISI SURAT PERNYATAAN KEASLIAN KARYA ILMIAHError! Bookmark not defined. LEMBAR PENGESAHAN TUGAS AKHIR ....... Error! Bookmark not defined. KATA PENGANTAR ........................................................................................ iv DAFTAR ISI ....................................................................................................... v DAFTAR GAMBAR ........................................................................................ viii DAFTAR TABEL ............................................................................................. 11 BAB I .................................................................. Error! Bookmark not defined. PENDAHULUAN ............................................... Error! Bookmark not defined. 1.1
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DAFTAR TABEL Tabel 3.1. Kebutuhan Fungsional Sistem ............. Error! Bookmark not defined. Tabel 3.2. Aturan Penulisan Kata Berimbuhan ..... Error! Bookmark not defined. Tabel 3.3. Deskripsi Aktor Pada Use Case DiagramError! Bookmark not defined. Tabel 3.4. Deskripsi Use Case Diagram Pada AplikasiError!
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