Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : SMARTICS Journal

Discourse Connectors Pada Peringkasan Dokumen Berbahasa Indonesia Irwan Darmawan; Nirwana Haidar Hari
SMARTICS Journal Vol 7 No 1: SMARTICS Journal (April 2021)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/smartics.v7i1.5046

Abstract

Documents that have a lot of content will make it difficult for readers to find the essence or topics in a document. Therefore, a system that can summarize documents is needed to find the topics discussed by the document. In the research, the documents used as test materials were the final project papers of informatics engineering students, Madura University. Various methods have been applied in summarizing a document, including using the cosine of similarity to determine the weight and the relationship between one sentence and another and then dumping the sentences which have small weight based on the threshold value of the user. If the length of a sentence has little weight, it does not mean that the sentence is not important when it comes to other sentences. Therefore a discourse connector is needed to connect one sentence to another sentence and then it is given weight according to the discourse connector formula. In this study, it is expected that the document has a better value than before as evidenced by a size that is higher than 70%
Penerapan Algoritma Naïve Bayes Classifier dan Fungsi Gaussian Untuk Penentuan Penjurusan Siswa Kelas X Nilam Ramadhani; Zainollah Effendy; Irwan Darmawan
SMARTICS Journal Vol 8 No 1 (2022): SMARTICS Journal (April 2022)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/smartics.v8i1.6996

Abstract

Penjurusan pada siswa kelas X perlu dilakukan oleh pihak sekolah. Untuk mengoptimalkan hal tersebut perlu dilakukan langkah-langkah yang dapat membantu pihak sekolah dalam menentukan jurusan siswa. Pendekatan yang bisa dilakukan adalah dengan menerapkan algoritma Naïve Bayes Classifier dan Fungsi Gaussian.Dataset yang digunakan sebanyak 100 record,terdiri dari atribut nilai mata pelajaran Matematika,Fisika,Biologi, dan Kimia. Atribut target atau class yaitu jurusan IPA dan IPS. Dari dataset tersebut ada 47 record yang terdapat pada class IPA dan 52 record. Dari hasil implementasi algoritma Naïve Bayes Classifier dan fungsi Gaussian,dapat ditentukan class jurusan pada data uji yang dimasukkan. Hasil klasifikasi tersebut bisa dijadikan bahan pertimbangan bagi pihak sekolah untuk membantu dalam proses penjurusan siswa.
Aplikasi Analisis Pemberian Reward Tenaga Pendidik Menggunakan Metode Fuzzy Relation Ramadhani, Nilam; Syahroni, Abd. Wahab; Darmawan, Irwan; Maula, Ismatul
SMARTICS Journal Vol 10 No 1 (2024): SMARTICS Journal (April 2024)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/smartics.v10i1.8299

Abstract

Analysis of rewards gift with fuzzy relations aims to determine teachers who deserve accept rewards based on teacher performance assessments. Fuzzy relations are used to determine the level of relationship or relations between criteria with rating weights that have been determined objectively. The aspects assessed include 4 criteria, that is pedagogic, personality, professionalism, and social relations. Each criterion has a different number of sub-criteria. Overall there are 26 sub-criteria and 45 teachers from 6 elementary schools are assessed.The results of the performance assessment of 45 teachers with fuzzy relations and weighting criteria obtained one teacher data that has the highest performance value among other teachers. So that the value obtained is used as a decision support to determine which teacher is entitled and deserves a reward.