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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Berdaya Mandiri JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Prosiding Seminar Nasional Rekayasa Teknologi Industri dan Informasi ReTII
Iwan Tri Riyadi Yanto
Universitas Ahmad Dahlan
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Alternative Technique reducing complexity of Maximum Attribute Relation Iwan Tri Riyadi Yanto; Imam Azhari
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 4: December 2015
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v13i4.2179

Abstract

Clustering refers to the method grouping the large data into the smaller groups based on the similarity measure. Clustering techniques have been applied on numerical, categorical and mix data. One of the categorical data clustering technique based on the soft set theory is Maximum Attribute Relation (MAR). The MAR technique allows calculating all of pair multi soft set made. However, the computational complexity is still an issue of the technique. To overcome the drawback, the paper proposes the alternative algorithm to decrease the complexity so get the faster response time. In this paper, to get the similar results as MAR without calculating all pair of soft set is proved. The alternative algorithm is implemented in MATLAB Software, and then experimental is run on the 10 benchmark datasets. The results show that the alternative algorithm improves the computational complexity in term of response time up to 36.46%
A Soft Set-based Co-occurrence for Clustering Web User Transactions Edi Sutoyo; Iwan Tri Riyadi Yanto; Rd Rohmat Saedudin; Tutut Herawan
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 3: September 2017
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v15i3.6382

Abstract

Grouping web transactions into some clusters are essential to gain a better understanding the behavior of the users, which e-commerce companies widely use this grouping process. Therefore, clustering web transaction is important even though it is challenging data mining issue. The problems arise because there is uncertainty when forming clusters. Clustering web user transaction has used the rough set theory for managing uncertainty in the clustering process. However, it suffers from high computational complexity and low cluster purity. In this study, we propose a soft set-based co-occurrence for clustering web user transactions. Unlike rough set approach that uses similarity approach, the novelty of this approach uses a co-occurrence approach of soft set theory. We compare the proposed approach and rough set approaches regarding computational complexity and cluster purity. The result demonstrates better performance and is more effective so that lower computational complexity is achieved with the improvement more than 100% and cluster purity is higher as compared to two previous rough set-based approaches.
PENERAPAN MODEL-MODEL PEMBELAJARAN DAN TEKNOLOGI DI ERA INDUSTRI 4.0 DI SEKOLAH DASAR Sumargiyani Sumargiyani; Iwan Tri Riyadi Yanto; Romelan Hamzah
Jurnal Berdaya Mandiri Vol. 3 No. 1 (2021): Jurnal Berdaya Mandiri (JBM)
Publisher : Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (230.447 KB) | DOI: 10.31316/jbm.v3i1.1264

Abstract

Era revolusi industri 4.0 mengalihkan peralatan yang bersifat tradisional menuju alat – alat yang serba digital. Penyuluhan mengenai model –model pembelajaran dan teknologi dalam pembelajaran dilakukan di SD Muhammadiyah Mertosanan yang  bertujuan untuk memberi wawasan kepada guru-guru SD Muhammadiyah Mertosanan mengenai berbagai macam model pembelajaran dan berbagai teknologi yang berkaitan dengan pembelajaran. Metode yang digunakan untuk mencapai tujuan tersebut adalah penyuluhan yang dilakukan secara on line. Hasil yang diperoleh dari pelaksanaan kegiatan ini adalah mendapat respon yang positip dari para peserta pengabdian dengan banyaknya pertanyaan-pertanyaan yang diajukan dan adanya masukan untuk diadakan kegiatan pengabdian lanjutan.
Mengembangkan Kreativitas Guru dalam Membuat Media Pembelajaran Menggunakan Aplikasi Canva Ani Apriani Ani; Sumargiyani; Iwan Tri Riyadi Yanto
Retii 2022: Prosiding Seminar Nasional ReTII ke-17
Publisher : Institut Teknologi Nasional Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Perkembangan teknologi yang semakin pesat, menuntut para guru untuk pandai memanfaatkan teknologi. Metode mengajar yang atraktif dengan memanfaatkan teknologi yang ada akan semakin diminati oleh siswa sehingga memaksimalkan hasil belajar. Pelaksanaannya penggunaan teknologi sebagai fasilitas dalam mengembangkan pembelajaran masih belum dioptimalkan oleh para guru/pengajar. Seperti, penggunaan aplikasi Canva untuk pembuatan media pembelajaran. Pengabdian ini bertujuan untuk melatih peserta dalam menguasai aplikasi Canva dan melatih peserta membuat media pembelajaran dengan menggunakan aplikasi Canva. Pengabdian ini menggunakan metode penyuluhan, pelatihan dan pendampingan semua guru SD Muhammadiyah Beji Kabupaten Gunung Kidul. Kegiatan hari pertama dilaksanakan di SD Muhammadiyah Bogor dan kegiatan hari kedua bertempat di SD Muhammadiyah Beji. Pelaksanaan kegiatan hari pertama yaitu pemberian materi terkait LKPD (Lembar Kinerja Peserta Didik) sebagai salah satu manifestasi media pembelajaran dan pengenalan aplikasi Canva. Pelaksanaan kegiatan hari kedua peserta sudah menyusun media pembelajaran menggunakan aplikasi Canva. Berdasarkan evaluasi yang dilakukan terjadi peningkatan pengetahuan dan kemampuan guru dalam membuat media pembelajaran menggunakan aplikasi Canva. Melalui kegiatan pengabdian yang dilakukan guru lebih memahami pentingnya media pembelajaran dalam meningkatkan minat belajar siswa dan guru termotivasi membuat media pembelajaran yang atraktif dan menarik tanpa menghilangkan konten pembelajaran menggunakan aplikasi desain.
Preferensi Pengguna Twitter Terhadap Calon Presiden dan Wakil Presiden Indonesia 2024 Adelia Tresnani; Iwan Tri Riyadi Yanto; Rahmat Hidayat
JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Vol 5 No 1 (2024)
Publisher : SOTVI - Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/jitsi.5.1.216

Abstract

The 2024 Indonesian presidential election is getting closer and it’s increasingly being discussed. People’s preferences in choosing presidential and vice presidential candidates can change along with political dynamics and various activities carried out by presidential and vice presidential candidates. A politician will definitely consider their popularity if they run for president and vice president to be elected by the public. The aim of this research is to see what people’s preferences for 2024 Indonesian presidential and vice presidential candidates, especially Twitter users. In addition, this research is to measure the impact of political information spread on Twitter and provide relevant and significant insights for political decision makers, election campaign teams, and political analysts to design effective communication strategies by understanding the dynamics of people's political preferences in digital era. This research uses a combination of text mining and SAW (Simple Additive Weighting) methods to see what people’s tendencies or choices in choosing state leaders based on data from Twitter with certain hashtag and keywords that often appear on Twitter. The data collected was 92.852 tweets which were then analyzed for sentiment. Sentiment data is used in ranking process using SAW method. Sentiment results for these candidate pairs are still dominated by positive sentiment. The second candidate pair, Prabowo Subianto & Gibran Rakabuming Raka, secured the top position with a conclusive score of 0.865, trailed by the first candidate pair, Anies Baswedan & Muhaimin Iskandar, obtaining a score of 0.846. The third position was claimed by candidate pair number 3, Ganjar Pranowo & Mahfud MD, achieving a score of 0.702.
Co-Authors Adelia Tresnani Ani Apriani Azhari, Imam Rahmat Hidayat Rd. Rohmat Saedudin Romelan Hamzah Sumargiyani Sumargiyani Sumargiyani Sutoyo, Edi Tutut Herawan