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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Jurnal Teknik Komputer AMIK BSI Informatics for Educators and Professional : Journal of Informatics INOVTEK Polbeng - Seri Informatika JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jusikom : Jurnal Sistem Komputer Musirawas J I M P - Jurnal Informatika Merdeka Pasuruan Jurnal Manajemen Informatika JISICOM (Journal of Information System, Infomatics and Computing) Journal of Information System, Applied, Management, Accounting and Research JSAI (Journal Scientific and Applied Informatics) Jurnal Mantik Jurnal Sistem informasi dan informatika (SIMIKA) Abdi Laksana : Jurnal Pengabdian Kepada Masyarakat Jurnal Teknik Informatika (JUTIF) Teknika Jurnal AbdiMas Nusa Mandiri Indonesian Journal of Engineering Research JUSTIN (Jurnal Sistem dan Teknologi Informasi) Jurnal Multidisiplin Madani (MUDIMA) Paradigma jabdimasunipem
Hafis Nurdin
Universitas Nusa Mandiri
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Physics Social Sciences Other

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Journal : Jurnal Mantik

 1 
Grouping of Success Levels in E-Learning Learning Factors: Approaches with Machine Learning Algorithm Elin Panca Saputra; Sugiono; Indriyanti; Supriatiningsih; Hafis Nurdin
Jurnal Mantik Vol. 5 No. 1 (2021): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol5.2021.1271.pp78-85

Abstract

The purpose of this study is to obtain the results of the modeling process on grouping the results of student learning, and to produce student success rates, while to find the results of the accuracy level of student learning success based on E-Learning with the Support Vectore Machine (SVM) method. In this grouping, there are 5 clusters. Furthermore, the process of counting can be as many as 2 iterations, namely getting the final result in the form of Cluster-1 with a total of 10 students, cluster-2 with a total of 45 students, cluster-3 with a total of 22 students, cluster 4 with a total of 13 students, and the next is cluster-5 with a total of 19 students. Then the results of the resulting process with a total of 5 types of clusters, namely from students who get the highest results to the lowest. In addition, this study also looks for the level of accuracy in e-learning student learning processes using the Support Vectore Machine (SVM) method, the accuracy results obtained are 90.91%, while the AUC results are 82.81%. then the value of the calculated accuracy rate can be classified as accuracy with the predicate result that is good.
Mysql Database Syncronization Using Restful Webservice Api PT. Minori Felix Wuryo Handono; Sumarna; Hafis Nurdin; Fernando B Siahaan; Hary Sugiarto; Indra Chaidir
Jurnal Mantik Vol. 5 No. 2 (2021): Augustus: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol5.2021.1409.pp855-859

Abstract

PT. Minori is an apprentice delivery company to Japan located in Cikarang Bekasi. The apprentices to be sent to Japan must first follow the selection and education process. Even after arriving in Japan, the apprentices must take part in lessons too so they will not forget the educational material and move up to a higher level. The learning method during education is by accessing the Education server in LAN (Local Area Network) and accessing the cloud server during internship. The difference in location and network causes problems, the data that is on the local network server with the public network server, how to synchronize the data without changing the existing network infrastructure. Database synchronization in PT Minori is done by restful API from both servers to synchronize data.
Infrastructure Facilities Information System (SISAPRAS) as a Monitoring of Educational Service Facilities Verry Riyanto; Sumarna Sumarna; Hafis Nurdin; Ganda Wijaya
Jurnal Mantik Vol. 5 No. 2 (2021): Augustus: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol5.2021.1410.pp860-866

Abstract

The availability of supporting devices in the academic services of a university is inseparable from the location and placement and also the need for these devices. The need for operational equipment is a necessity in the running of business process activities at a university, therefore the types of operational devices and facilities provided are a benchmark for a university in providing the best service to the academic community in it. In a tertiary institution, the need for operational equipment plays an important role in carrying out the teaching and learning process, on the other hand, behind-the-scenes operations also play an active role in ensuring the learning and teaching process runs. The need for operational equipment for infrastructure and facilities will increase where if a university has a building or branch with a different location, with this condition new findings will appear, the types of operational goods proposed are not balanced between branches or the number of goods that will be served by each branch is not monitored. Therefore, an infrastructure information system was built to facilitate and monitor each branch of the university in managing the equipment and operational facilities and infrastructure at the branch of the college building.
Co-Authors Ade Christian Adjat Sudradjat Ahmad Yani Alfan Khudori Ananda Bagus Pramastya Andharsaputri, Resti Lia Anus Wuryanto Astriana Mulyani Bambang Wijonarko Berlian Sigit Sugiarto Buya Ibrahim Dewi Yuliandari Eri Riana Fattya Ariani Felix Wuryo Handono Fernando B Siahaan Ganda Wijaya Giovanni Maria Vianney Tobia Mariatmojo Hari Sugiarto - UBSI Hary Sugiarto Helen Nahumury Herman Kuswanto Imam Nawawi, Imam Indra Chaidir, Indra Indriyanti Irmawati Carolina Karlena Indriani Mohammad Roffi Suhendry muhammad qomaruddin Muhammad Qomaruddin Panca Saputra, Elin Pramastya, Ananda Bagus Ridwansyah Ridwansyah Riki Supriadi Riki Supriyadi Sartini Sartini Sobari, Irwan Agus Sudibyo, Aji Sugiono Suhardjono S Suhardjono Suhardjono Sumanto, Sumanto Sumarna Sumarna Sumarna - Sumarna . Sumarna Sumarna Sumarna Sumarna Sumarna Sumarna Sumarna Sumarna Sumarna Sumarna Sumarna Sumarna Supriadi, Riki Supriatiningsih Taufik Asra Taufik Rahman Verry Riyanto Wahid, Bilal Abdul Yana Iqbal Maulana