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5 results on '"Dian Utami SUTIKSNO"'

1. Support vector machine for omega 3 classification based on histogram equalization

Author

Ety Youhanita, Ricardo Freedom Nanuru, Febri Liantoni, Muhammad Asfar, Fathimah, Sonny Kristianto, Eka Maya Sari Siswi Ciptaningsih, Sri Wahyuni, Aria Hendrawan, Hardi, Listian Indriyani Achmad, Cahya Fajar Budi Hartanto, Fatimah, Eka Zuliana, Dahlia Andayani, Rustam, Dian Utami Sutiksno, Andi Dian Angriani, Sulfikar Sallu, Santirianingrum Soebandhi, Teguh Trianton, Rahmat Hidayat, Agus Adi Santoso, Rinandita Wikansari, Arjulanaya, Danner Sagala, Chairuddin, Pramita Laksitarahmi Isrianto, Mita Rosaliza, and Rosanita Tritias Utami

Subjects
Support vector machine, History, Computer science, business.industry, Pattern recognition, Artificial intelligence, business, Omega, Histogram equalization, Computer Science Applications, Education
Published
2019

3. The Effects of Multimedia Learning on Students Achievement in Terms of Cognitive Test Results

Author

Dian Utami Sutiksno, Agung Purnomo, Muhammad Rizal, Nuning Kurniasih, and Akbar Iskandar

Subjects
History, Multimedia, business.industry, Computer science, 05 social sciences, 0211 other engineering and technologies, 050301 education, Information technology, Robotics, 02 engineering and technology, computer.software_genre, Computer Science Applications, Education, Cognitive test, Nonprobability sampling, Student achievement, Informatics engineering, ComputingMilieux_COMPUTERSANDEDUCATION, 021108 energy, Artificial intelligence, Android (operating system), business, 0503 education, computer, Research method
Abstract

Multimedia learning is also known as learning media, which involves information technology in the form of computer or Android, by bringing together two or more elements consisting of voice, video, text and images incorporated in a multimedia software for students interactively. The purpose of this research is: (1) improving student achievement through multimedia learning in robotics course; (2) compare the students' learning achievement between classes that apply multimedia learning application with the class using conventional method. This research method using an experiment that is comparing two different treatment. Information on learning achievement was obtained through the test. The object of this research is the student of informatics engineering STMIK AKBA, Indonesia even semester of year 2016/2017 which take the course of robotics. Sampling using purposive sampling technique counted 60 people. Analysis of research results using descriptive and inferential analysis. The research results showed that: (1) the application of multimedia learning can improve student achievement for robotics courses; (2) the difference test shows that the learning achievement of the multimedia learning class student is better than the conventional class student.

Published
2018

5. Lecturers’ Understanding on Indexing Databases of SINTA, DOAJ, Google Scholar, SCOPUS, and Web of Science: A Study of Indonesians

Author

EKA ZULIANA, Daniel Susilo, Hary Hermawan, Muhammad Yusuf, Wahyuddin Albra, Juneman Abraham, Muhamad Chairul Basrun Umanailo, Sonny Kristianto, Andi Riyanto, Achmad Yusuf, Abdurrozzaq Hasibuan, Darmawan Napitupulu, Siti Juariah, Angra Ruswana, Tristan Rokhmawan, Dahlan Abdullah, Fajria Fatmasari, LUSY TUNIK MUHARLISIANI, M Ikhsan Setiawan, Janner Simarmata, Nian Afrian Nuari, M. Taufik Qurohman, Folkes Laumal, Parma Hadi Rantelinggi, Dina Chamidah, Dwi Ely Kurniawan, Sri Maryanti, Listian Indriyani Achmad, Sitti Fithriani Saleh, A. S. Ahmar, Eric Kunto Aribowo, Santirianingrum Soebandhi, Sri Wahyuni, Muthmainnah, Gumgum Gumelar, Lilik Istiqomah, Rudi Abdullah, Fathimah Fathimah, Muhammad Fuad, Dian Utami Sutiksno, Ricardo Freedom Nanuru, Sulfikar Sallu, Ahmad Al yakin, Eko Susanto, Dasapta Erwin Irawan, Indrya Mulyaningsih, Ratna Farwati, Ratna Dyah Suryaratri, Rama Oktavian, Lucky Nugroho, Eli Jamilah Mihardja, Andi Reni, Aan Aswari, Rochmady Rochmady, Cahya Fajar Budi Hartanto, Uun Al Muddatstsir, Andi Aprasing, Sri wiwoho Mudjanarko, Busro Busro, Rahmat Hidayat, Erfan Yudianto, Tuti Agustin, Sumitro Sarkum, Tien Zubaidah, Anak Agung Gde Satia Utama, La Ode Asmin, Muhammad Syahrul Kahar, Wahyu Widyantoro, Ari Riswanto, Yudithia Dian Putra, Nurhidayah Nurhidayah, Early Ridho Kismawadi, Susiana Susiana, Robbi Rahim, Irwan Sugiarto, Muhamad Yamin Noch, Himmatul Ulya, Susilo Susilo, Rhini Fatmasari, Arjulayana Arjulayana, Sri Wiwoho Mudjanarko, Muh Barid Nizarudin Wajdi, Abdul Rahman Suleman, Irfan Sudahri Damanik, Danner Sagala, Reza Rachmadtullah, Ifit Sari, S. Suharto, Heri Nurdiyanto, Andik Wijayanto, Andista Candra Yusro, Muhammad Asfar, Fauzi Farchan, Syamsul Hidayat, Herfa Maulina Dewi Soewardini, Tomi Listiawan, Agustinus Suradi, Haries Pribady, Muhamad Ratodi, Hasan Baharun, Lala Nailah Zamnah, Irwan Bempah, and M. Mirza Abdillah Pratama

Subjects
0301 basic medicine, History, Descriptive statistics, Higher education, Database, Web of science, business.industry, Search engine indexing, Scopus, computer.software_genre, language.human_language, Computer Science Applications, Education, Indonesian, 03 medical and health sciences, Survey methodology, 030104 developmental biology, 0302 clinical medicine, language, Christian ministry, 030212 general & internal medicine, Sociology, business, computer
Abstract

The Ministry of Research, Technology and Higher Education of Indonesia has introduced several national and international indexers of scientific works. This policy becomes a guideline for lecturers and researchers in choosing the reputable publications. This study aimed to describe the understanding level of Indonesian lecturers related to indexing databases, i.e. SINTA, DOAJ, Scopus, Web of Science, and Google Scholar. This research used descriptive design and survey method. The populations in this study were Indonesian lecturers and researchers. The primary data were obtained from a questionnaire filled by 316 lecturers and researchers from 33 Provinces in Indonesia recruited with convenience sampling technique on October-November 2017. The data analysis was performed using frequency distribution tables, cross tabulation and descriptive analysis. The results of this study showed that the understanding of Indonesian lecturers and researchers regarding publications in indexing databases SINTA, DOAJ, Scopus, Web of Science and Google Scholar is that, on average, 66,5% have known about SINTA, DOAJ, Scopus, Web of Science and Google Scholar. However, based on empirical frequency 76% of them have never published with journals or proceedings indexed in Scopus.

Published
2018

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