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All Journal Tekinfo | Scientific Journal of Industrial and Information Engineering Santika : Jurnal Ilmiah Sains dan Teknologi
Warsino Warsino
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Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Industrial & Manufacturing Engineering Materials Science & Nanotechnology

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Efek Pandemi Covid-19 Terhadap Kejahatan Siber di Indonesia Warsino Warsino
Tekinfo: Jurnal Ilmiah Teknik Industri dan Informasi Vol 9 No 1 (2020)
Publisher : Program Studi Teknik Industri Universitas Setia Budi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31001/tekinfo.v9i1.1040

Abstract

Crime occurs not only by intention, but also because there is an opportunity. The Covid-19 pandemic impact on all aspects of human life. All activity that usually done outside. because of the pandemic, should be done inside of house. The increasing use of internet by public, coupled with the lack of awareness to computer security making this chance exploited by the cybercriminals. As the result, the cyber attack is increasing not only in Indonesia, but also all over the world. As of April 2020, there has been a compulsive increase of 88,414,296 attacks, with the dominance of Trojan attacks as much as 56%, Information gathering by 43% and Web Attack by 1%. Therefore, the understanding and awareness are required from all internet users to close the gap security, so that the public can work safely, calmly, and comfortably from home.
Algoritma C4.5 Untuk Mengetahui Kepuasan Jamaah Masjid Darul Hijrah Terhadap Program Dan Fasilitas Dkm Warsino Warsino
SANTIKA is a scientific journal of science and technology Vol. 8 No. 1 (2018): SANTIKA
Publisher : The Faculty of Science and Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37150/jsa.v8i1.275

Abstract

Masjid merupakan pusat aktivitas bagi kaum muslim. Sayangnya, masih banyak pengurus masjid yang belum bisa memberikan pelayanan maksimal kepada jamaah masjidnya. Indikator keberhasilan “memakmurkan” masjid diantaranya adalah dengan kepuasan jamaah masjid. Apabila jamaah puas, maka masjid akan menjadi makmur, dan peran serta fungsi masjid bisa dioptimalkan. Dengan menggunakan Teknik data mining, dan algorithma C4.5, tingkat kepuasan jamaah masjid bisa dipetakan oleh pengurus. Penelitian ini diharapkan dapat menghasilkan sebuah alat bantu pengambilan keputusan bagi pengurus DKM Masjid Darul Hijrah dalam meningkatkan kepuasan jamaah masjidnya. Dengan algorithma C4.5 terlihat bahwa teknik ini bisa menghasilkan rule yang sangat membantu pengurus DKM Masjid Darul Hijrah.
Perancangan Sistem Informasi Pembelian Bahan Baku Pada PT Nani Wahyuni Industries Bekasi Ahmad Sauki; Warsino Warsino; Yahya M Ardi
SANTIKA is a scientific journal of science and technology Vol. 9 No. 1 (2019): SANTIKA
Publisher : The Faculty of Science and Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37150/jsa.v9i1.554

Abstract

                                                                                                                           SURAT PENGUMUMAN PENARIKAN ARTIKEL                                                                                                                                               NO : 029/SANTIKA/2020   Assalaamualaikum Warohmatullahi Wabarokaatuh Dengan hormat, Dengan ini kami umumkan bahwa pada hari ini tanggal Rabu Tanggal 10 Juni 2020 kami melakukan penarikan terhadap artikel yang berjudul “Perancangan Sistem Informasi Pembelian Bahan Baku Pada PT Nani Wahyuni Industries Bekasi” dengan identitas DOI https://doi.org/10.37150/jsa.v9i1.554  dengan alamat link http://jurnal.ummi.ac.id/index.php/ santika/article/view/554  pada jurnal SANTIKA Volume  9 No. 1  Tahun 2019. Penarikan artikel dilakukan atas permintaan tertulis dari seluruh penulis antara lain  Ahmad Sauki, Warsino dan Yahya M. Ardi yang dikirimkan melalui email pada tanggal 7 Juni 2020 atas keberatan dari PT. Nani Wahyuni Industries Bekasi sebagai Subjek artikel. Dengan ini otomatis kami juga melakukan penghapusan artikel dari link https://www.google.com/url?sa=t&source=web&rct=j&url=https://jurnal.ummi.ac.id/index.php/santika/article/view/554/255&ved=2ahUKEwiqyIXuiPpAhXDjOYKHczhDR84ChAWMAF6BAgJEAE&usg=AOvVaw0QTyqt0i2XbrHWyQmwPy67 . Berdasarkan hal tersebut, kami pengelola jurnal SANTIKA : Jurnal Ilmiah Sains dan Teknologi meminta maaf kepada seluruh pembaca dan civitas akademika khususnya karena penghapusan artikel ini dari sistem OJS kami. Demikian surat pengumuman ini kami buat. Atas perhatiannya kami ucapkan terimakasih. Wassalaamualaikum Warohmatullaahi Wabarokaatuh Pimpinan Redaksi SANTIKA  
Metode Peramalan Permintaan Jasa Penerjemahan Bahasa Asing Dengan Algorithma Linear Regression, Menggunakan Rapidminer. Studi Kasus : Azzam Translator Bekasi Warsino Warsino
SANTIKA is a scientific journal of science and technology Vol. 7 No. 2 (2017): SANTIKA
Publisher : The Faculty of Science and Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37150/jsa.v7i2.657

Abstract

Along with the world’s business progress nowadays, businessrelationships between countries are no longer limited by territory. Thisprovides an economical value for those who carefully see the chances.One of the chances is foreign language translation business. As anyother businesses, a foreign language translation business should face some problems. One of the causes of the problems is: a foreign languagetranslation company cannot predict the volumes of orders of comingyears, which make them should employ translators on a part-time basis.As a result, the company frequently losses chances to obtain big orders.For that reason, it is required a method to assist the company inpredicting the volumes of sales. Linear Regression is one of the methodsby using data mining that has the capability to predict the datasets ofprevious years. By using the Linear Regression method and a tool namedRapidminer 8.1, a research successfully proves that a volume oftranslation order can be promptly acknowledged, seen from the RMSE(Root Mean Square Error) score at the amount of 0.823.
Co-Authors Ahmad Sauki Yahya M Ardi