Article Per Year (5 Year)
p-Index From 2020 - 2025
8.005
P-Index
This Author published in this journals
All Journal Dialektika Teosofi: Jurnal Tasawuf dan Pemikiran Islam International Journal of Nusantara Islam Jurnal Informatika dan Teknik Elektro Terapan Syntax Literate: Jurnal Ilmiah Indonesia An-Nas : Jurnal Humaniora KOPERTIP: Jurnal Ilmiah Manajemen Informatika dan Komputer ALQALAM KACANEGARA Jurnal Pengabdian pada Masyarakat FIKRAH JUTEKS JURIKOM (Jurnal Riset Komputer) GEMA EKONOMI Infotronik : Jurnal Teknologi Informasi dan Elektronika Jurnal Informatika Kaputama (JIK) Jurnal Sistem Informasi Kaputama (JSIK) Building of Informatics, Technology and Science Syntax Idea JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Akuakultura Universitas Teuku Umar Jurnal Abdi Insani Jurnal Bina Ummat: Membina dan Membentengi Ummat MEANS (Media Informasi Analisa dan Sistem) Tsaqafatuna: Jurnal Ilmu Pendidikan Islam ISLAM NUSANTARA: Journal for the Study of Islamic History and Culture Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Jurnal Budgeting Journal of Innovation and Research in Primary Education Abdibaraya: Jurnal Pengabdian Masyarakat At-Tuhfah : Jurnal Studi Keislaman Tamkin: Jurnal Pengembangan Masyarakat Islam LANTERA: JURNAL KOMUNIKASI DAN PENYIARAN ISLAM BULLET : Jurnal Multidisiplin Ilmu AMMA : Jurnal Pengabdian Masyarakat Karimah Tauhid International Journal of Islamic Studies Jurnal Sistem Informasi dan Manajemen Al-khidmah: Jurnal Pengabdian dan Pendampingan Masyarakat Adpertens ; Jurnal Ekonomi dan Manjemen Jurnal Medika: Medika Ulul Albab: Jurnal Pendidikan Agama Islam Lantera: Jurnal Komunikasi dan Penyiaran Islam Journal of Islamic Family Law
Saeful Anwar, Saeful
Pascasarjana Ilmu Sastra FIB UGM
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Other

Published : 65 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Building of Informatics, Technology and Science

 1 
Game Edukasi Pengenalan Huruf Hiragana Untuk Meningkatkan Kemampuan Berbahasa Jepang Nurcholis, Rifki; Purnamasari, Ade Irma; Dikananda, Arif Rinaldi; Nurdiawan, Odi; Anwar, Saeful
Building of Informatics, Technology and Science (BITS) Vol 3 No 3 (2021): December 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (444.357 KB) | DOI: 10.47065/bits.v3i3.1091

Abstract

Educational games are very interesting to develop, because of the diversity that can be done. Some of the advantages of educational games compared to conventional educational methods, one of the main advantages of educational games is the visualization of real problems. Based on the pattern possessed by the game, players are required to learn so that they can solve existing problems. Game status, instructions, and tools provided by the game will guide players actively to explore information so that they can enrich their knowledge and strategies while playing. One of the interesting educational games to focus on is an educational game that discusses the introduction of foreign languages ​​focused on Japanese. With this educational game, it is hoped that it can help students to understand and memorize the hiragana letters in Japanese. This study aims to create a windows-based educational game application as an alternative medium for learning to recognize Japanese Hiragana letters. This game can later be used as an alternative learning media for the general public who just want to learn Japanese, by knowing the basics of Hiragana letters. The research method that can be used for this research can use the MDLC development method. The stages in this research process are Concept, Design, Material Collecting, Assembly, Testing, Distribution. The result of the research is an educational game of Japanese hiragana letters which introduces the basic Japanese hiragana letters and how to write them. In addition there is a quiz game of stacking letters into words to train children after knowing the basic letters of Japanese hiragana. Thus it can help children learn Japanese more easily. With this educational game, it is hoped that it can help children to understand and memorize the hiragana letters in Japanese
Penerima Manfaat Bantuan Non Tunai Kartu Keluarga Sejahtera Menggunakan Metode NAÏVE BAYES dan KNN Putri, Haidah; Purnamasari, Ade Irma; Dikananda, Arif Rinaldi; Nurdiawan, Odi; Anwar, Saeful
Building of Informatics, Technology and Science (BITS) Vol 3 No 3 (2021): December 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (681.586 KB) | DOI: 10.47065/bits.v3i3.1093

Abstract

The Prosperous Family Card is one of the government's programs in accelerating poverty which functions as a marker for the underprivileged. The implementation of the PSC policy is still not optimal due to factors, namely the lack of socialization and information from village and sub-district officials to the community regarding programs issued by the government. This research to classify the beneficiaries of the Prosperous Family Card, because there are still many other disadvantaged families who have not had the opportunity to receive this assistance program. The method used in this research is the Naive Bayes method and the K-NN method. The results of this study are the classification of beneficiaries from 6,491 KKS recipients with the K-NN Algorithm method yielding an accuracy value of 66.46% with a distribution in 5 villages, including pred Argasunya class precision 64.90% pred Harjamukti class precision 65.18% pred Kalijaga class precision 66.64% pred Kecapi class precision 68.44% pred Prohibition class precision 68.34% while the Naïve Bayes algorithm is classified with true in each kelurahan with true Argasunya distribution of 1,196 KKS class precision 100%, true Harjamukti 1,339 KKS class precision 100%, true Kalijaga 2,067 KKS class precision 100%, true Kecapi 1,137 KKS class precision 100%, true Prohibition 744 KKS(1 KKS true Argasunya, 1 KKS true Harjamukti, 3 KKS true Kalijaga, 3 KKS true Kecapi) class precision 98.64%. the accurasy value of the Naïve Bayes algorithm model is 99.88%.
Co-Authors ., Suratun Abdul Azis abdullah, nur syarief Abdurrohman, Abdurrohman Ade Juang Eko Praseyo Adha, Rizki Adny, Nadhila Zafirotul Ahmad Fahmi Ahmad Faqih Ahmad Firdaus, Ahmad Akhmad Alim, Akhmad Amar, Mohammad Rosihin Andini, Selvi Andriyanti, Rina Aprinus Salam Arum Sari Athaya, Muhammad Randy Nashwan Aulia Rahmawati, Aulia Azizah , Astri Syifa Nur Bayu Saputra Chulyatunni’mah Danar Dana, Raditya Dedy Setiawan Dikananda, Arif Rinaldi Dikananda, Fatihanursari Endah Wahyuni ENDRI ENDRI Enggal, Dwi Fadhillah, Muhammad Daffa Falih, Alfi Rizqi Falih Fauzan, Muhammad Akmal Fauziah, Siti Sarah Febriansyah, Feggy Firdaus, Radith Faris Fithri Muliawati Frida Maulani Ganang Prihatmoko Gustiyaz, Lutfhi Muhammad Hadiyan, Edwin Hamonangan, Ryan Hananto, Bernad Hanifah, Putri Fatya Hasan, M. Ibnu Hayati, Tuti Nur Herdiana, Ruli Hibrizi, Rafa Naufal Hidayat Hidayat Hidayat, Hilpad Huzaimah Jannah, Zahratul Jayawarsa, A.A. Ketut Kuswana, Dadang Laela Al-Wafa, Rika Hakim Lidiawati, Ayi Maknuun, Lu’lu’ Il Marfu'ah, Luk Luk Atin Maryati, Neneng Meri Muhammadun Muhammadun, Muhammadun Murod, Ahmad Kamal Musarofah, Zul Musyafa, Nasyith Narasati, Riri Narasati Nardiansyah, Afrie Ningrum, Sekar Ayu Nirwansyah, Moch. Novita Safitri Nurcholis, Rifki Odi Nurdiawan Oktaviani, Leli Pamungkas, Bakti Putra Permatasari, Nastiti Tri Pratama, Denni Pratama, Radi Puri, Anita Purnamasari, Ade Irma Putri ayu, Putri Ayu Dara Sekarwangi Putri, Haidah R, Nining Ranadimajid, Muhammad Indirafi Resdiana, Imelda Rina Marina Rinaldi Dikananda, Arif Rizal, Dede Rizki, Dicky Miftakhul Rizky Maulana, Rizky Rudi Kurniawan Sahri Sahri Sahrin, Alfi Saputra, Dimas Andi Saumantri, Theguh Sayudin, Sayudin Septyningsih, Nurmila Shidiq, Agus Sholahudin Solihudin, Dodi Sopian sopian Suhana, Nanang Sulastri, Neneng Sumantriyadi, Sumantriyadi Supriadi, Yadi Susana, Heliyanti Sutisna, Dede Syadiah, Siti Ima Halimatu Syahara, Herni Syahputra, Dimas Nur Alim Tamam, Abas Mansur Tati Suprapti Tofik, Akhsan Tohidi, Edi Ulfah Ulfah Ulhaq, Dea Fitrianingka Wahyudin, Edi Wahyuningsih, Siska Wardana, Andri Kusuma Wibowo, Tri Joko Ari Widaningsih, Mimin Wina Lutfiah Winarsih, Windu Yudhistira Arie Wijaya Yunus, Shofian Zakariya Pamuji Aminullah Zubaedah, Putri Amalia