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All Journal Computer Based Information System Journal pendidikan, science, teknologi, dan ekonomi Prosiding Seminar Nasional Ilmu Sosial dan Teknologi (SNISTEK)
Muhammad Taufik Syastra
Universitas Putera Batam
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Library & Information Science Public Health Social Sciences Other

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RANCANG BANGUN SISTEM E-RECRUITMENT BERBASIS ANDROID Muhammad Taufik Syastra
Jurnal Ipteks Terapan Vol 11, No 2 (2017): JIT
Publisher : LLDIKTI Wilayah X

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22216/jit.2017.v11i2.1118

Abstract

Rancang bangun sistem e-recruitment ini bertujuan untuk mengakomodir kebutuhan perusahaan yang berkaitan dengan proses rekrutmen karyawan. Pada penelitian ini mengambil studi pada PT Mega Petro Synergy (PT MPS). PT. MPS merupakan perusahaan yang bergerak dibidang penyedia rekayasa konstruksi dan tenaga kerja industri berat. Kebutuhan PT MPS saat ini berkaitan dengan minimalisir biaya iklan, data yang real time dan juga kesalahan akibat proses penginputan data pelamar. Perancangan diarahkan pada pengembangan aplikasi berbasis android yang terintegrasi pada Man Power Information System (MPIS). Model SDLC yang digunakan adalah Waterfall. Perancangan aplikasi ini menggunakan pemodelan Unified Modelling Languange (UML) meliputi use case diagram, class diagram, activity diagram, dan sequence diagram. Selain UML, teknologi yang digunakan dalam proses perancangan adalah javascript, PHP, AngularJS, Laravel dan MySql. Penelitian ini menghasilkan aplikasi berbasis android yang dapat gunakan sebagai media iklan, penyedia data real time, serta mempermudah proses penginputan data pelamar.
PENGARUH KUALITAS SISTEM INFORMASI AKADEMIK MAHASISWA TERHADAP KEPUASAN MAHASISWA STT INDONESIA TANJUNGPINANG Muhammad Taufik Syastra
Computer Based Information System Journal Vol. 1 No. 1 (2013): CBIS Journal
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (502.009 KB)

Abstract

Quality of Student Academic Information Systems need to be considered to improve user satisfaction, which in this study users of academic information systems students are students of Indonesian STT Tanjungpinang. Student academic information system applied to the STT Indonesia in support of student academic data processing, such as KRS (Study Plan Card), KHS (Card Study Results), and so forth. Students from Indonesia amounted to as much as 475 STT students, using simple random sampling technique and precision Yamane formula taro 10%, then obtained a sample of 83 students. This study uses verification, which verifies the influence of Quality Information System (independent variable) on student satisfaction (dependent variable). The results of this study were (1) There is an effect between the quality system of student academic information system to student satisfaction, (2) There is the influence of the quality of information on students 'academic information system to student satisfaction, (3) There is the influence of the quality of students' academic information system student satisfaction.
Analisa Pemetaan Penerimaan Bantuan Kesejahteraan Masyarakat Terdampak Covid-19 Dengan Algoritma Clustering Erlin Elisa; Tukino Tukino; Muhammad Taufik Syastra
Prosiding Vol 4 (2022): SNISTEK
Publisher : LPPM Universitas Putera Batam

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Abstract

2020 is a very difficult year for humans in this world, with a virus outbreak that has swept across the country, this outbreak is called Coronavirus Disease 2019 (Covid-19). Including in Indonesia with cases that continue to increase every day, until now there is no sign of this outbreak ending, with this incident the government issued a policy for large-scale social restrictions or known as PSPB in various regions that fall into the category of large case zones and According to data from the Riau Islands Covid-19 cluster, in Batam City itself, the number of Covid-19 cases continued to increase so that it exceeded the number of 2000. As a result of this protracted disaster, of course, human life has been disrupted, many jobs have been neglected, so that various types of businesses have had to go out of business because their turnover has been much reduced and this has caused business voters to have to lay off their employees. This situation received rapid attention from the government through the social service agency to provide welfare assistance for people affected by COVID-19, but the problem here is from observations while researchers are still many of the assistance that is not right on target, causing polemics for the community. This research will utilize one of the datamining techniques with the K means algorithm to determine the mapping or segmentation of government assistance to communities affected by COVID-19 in order to accelerate people's purchasing power with the aim that research results can be used by community leaders such as RT, RW to record citizens who need this assistance. The results of the analysis show that the clustering segmentation with the data analyzed is 30 data stating that there are priority recipients which are divided into 5 clusters with predetermined criteria.
Co-Authors Elisa, Erlin tukino, tukino