Claim Missing Document
Check
Articles

Found 33 Documents
Search

Dimensi Metrik pada Graf Hasil Operasi Join pada Graf Lengkap dan Graf Tangga Deddy Rahmadi; Awal Febriantono; Nurul Mufidah; Tsalis Wifqi Hidayati; Maulidatu Jauharoti Alisyah
Square : Journal of Mathematics and Mathematics Education Vol. 7 No. 1 (2025)
Publisher : UIN Walisongo Semarang

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

Abstract

The metric dimension of a graph is defined as the minimum cardinality of a resolving set of the graph. This study aims to determine the metric dimension of graphs obtained from the join operation between a complete graph and a ladder graph. The analysis begins by determining the metric dimensions of the constituent graphs, namely the complete graph K_n and the ladder graph L_m. Furthermore, the metric dimension of the graph resulting from the join operation K_n + L_m is investigated. The results show that the metric dimension of the complete graph K_n is n-1, the metric dimension of the ladder graph L_m is 2, and the metric dimension of the graph K_n+L_m is n+1.
Data Mining Processing Using K-Means and Support Vector Regression Methods on Indomie Products Deddy Rahmadi
Indonesian Journal of Information Technology and Computing (IMAGING) Vol 4, No 1 (2024): 30 Juni 2024
Publisher : Politeknik Harapan Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52187/img.v4i1.229

Abstract

This research was conducted to analyze the sales pattern of Indomie products at the UIN Sunan Kalijaga Yogyakarta Student Cooperative and predict future product prices. The data used is daily sales data from January to June 2023 with a total of 599 data into five clusters with the number of items cluster 0 consists of 32 items, cluster 1 consists of 409 items, cluster 2 consists of 102 items, cluster 3 consists of 48 items, and cluster 4 consists of 8 items. The methods used are K-Means for clustering and Support Vector Regression (SVR) for price prediction. The results of the K-Means analysis grouped the products into five clusters with different characteristics. In the Support Vector Regression (SVR) method, initially it has an accuracy rate of 70% with a fairly high Mean Squared Error (MSE) and Mean Absolute Error (MAE). After cleaning the data from outliers and tuning the hyperparameters, the model accuracy increased to 99%, showing a significant improvement in the model's predictive ability.
PENDAMPINGAN PERSIAPAN UJIAN SKD CPNS BERBASIS CAT DI PONDOK PESANTREN MANGKU CANDI ALAS LAMI Deddy Rahmadi; Alfian Nur Nur Ichsan; Adelia Marsa Karunika
Jurnal Pengabdian Masyarakat - Teknologi Digital Indonesia. Vol 4, No 2 (2025): Oktober 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat - Universitas Teknologi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26798/jpm.v4i2.1893

Abstract

Kegiatan pendampingan persiapan ujian Seleksi Kompetensi Dasar (SKD) CPNS berbasis CAT dilaksanakan untuk membantu calon peserta seleksi CPNS dalam memahami sistem ujian berbasis komputer serta meningkatkan kesiapan mereka dalam menghadapi ujian. Metode yang digunakan dalam kegiatan ini adalah pelatihan yang terdiri dari dua sesi, yaitu sharing session dan try out berbasis CAT. Sharing session memberikan kesempatan kepada peserta untuk berdiskusi dengan narasumber yang membagikan pengalaman menghadapi ujian CPNS, sedangkan sesi try out memperkenalkan simulasi ujian berbasis CAT dengan membahas tiga jenis soal utama, yaitu Tes Wawasan Kebangsaan (TWK), Tes Intelegensia Umum (TIU), dan Tes Karakteristik Pribadi (TKP). Kegiatan ini diikuti oleh 15 peserta dengan sistem hybrid yang mencakup peserta luring dan daring. Hasil evaluasi menunjukkan peningkatan pemahaman peserta mengenai format dan strategi ujian SKD CPNS, meskipun terdapat keterbatasan waktu dalam pelaksanaan pelatihan.
Co-Authors Abdillah, Nafal Maulana Adelia Marsa Karunika Ahsanti, Amalia Aida Haya Afifah Albar, Wakhid Fitri Alfian Nur Nur Ichsan Alvian Nur Rohman Arga Bathara Dipoyono Arif Munandar Asiyam, Unzhurna Awal Febriantono Azzahra, Alya Camelia, Puspa Chaririyah,, Zakiyatul Dela Nuraini Safinka Dheana, Clarissa Elva Dhiya Anisah Utami Dia Cahya Wati Erika Putri Fatimah, Nadhifa Nur Firmansyah, Muhammad Azwar Galih Fathurahman Ardiansyah Hakim Adidarma Hardina Sandariria Hariyani, Febri Dwi Herdianti, Redella Reffa Ighfirli Amanda Izzati Ilmi, Derrida Atsmarotul Insyafilla, Asyanada Kamal, Ahmad Mushthofa Katya Royhana Dewi Khasanah, Aulia Nur Mada, Grandianus Seda Mastura, Yusrina Maulidatu Jauharoti Alisyah Muchammad Abrori Muhammad Alfarizi Habibullah Muhammad Luthfi Muhammad Luthfi Muhammad Rejaus Syifa Muhammad Ridho Ramadhan Muhammad Solihin, Muhammad Mustamin, Miftah Aulia Nabila Putri Maharani Najihan, Hizbullah Naufal, Muhammad Hafizh Neisya Jamilatus Syarifah Ni'ma Ajrul Amilin Nurul Mufidah Prasetyani, Elvira Pratiwi, Hanifa Ika Dian Putri, Della Hidayana Putri, Tarisha Najwa Rahayu, Pipit Pratiwi Ramadhan, Muhammad Ridho Ramadhani, Ilma Nindita Ramadhani, Qonita Nadya Rifky Tyo Ramadhani Santoso Robiultsani, Muhammad Fauzi Nur Rohmah, Sinta Miftakhul Rohman, Alvian Nur Safinka, Dela Nuraini Sani, Sophia Carolina Setyaji, Fajar Dwi Styo, Anyelir Nurahmaida Nanda Sulthon Aqthoris Sama Tsalis Wifqi Hidayati Umar Jihad Utami, Dhiya Anisah Vanesia, Valentina Aprilia Wahyuni, Winda Cahya Dwi Wakhid Fitri Albar Wakhid Fitri Albar Walda, Akbel Varianto Walda Yeni Susanti Zhafran Pradistyatama Kuncoro Zuha, Jaqueline Widad