cover
Contact Name
Firdaus Laia
Contact Email
informatika@uniraya.ac.id
Phone
+6282260418243
Journal Mail Official
informatika@uniraya.ac.id
Editorial Address
Jln. Nari-nari, Kelurahan Pasar Telukdalam, Kb. Nias Selatan, Sumatera Utara
Location
Kab. nias selatan,
Sumatera utara
INDONESIA
Jurnal Informatika
Published by Universitas Nias Raya
ISSN : -     EISSN : 28093704     DOI : 10.57094
Core Subject : Science,
Jurnal Informatika merupakan Jurnal Nasional yang sudah memiliki registrasi ISSN 2809-3704 dari LIPI yang diterbitkan oleh LPPM Universitas Nias Raya, jurnal ini menjadi wadah publikasi penelitian dan riset khususnya bidang ilmu komputer, sistem informasi dan teknologi informasi. Periode penerbitan Jurnal Informatika dua kali dalam setahun yaitu bulan Maret dan bulan September.
Articles 5 Documents
Search results for , issue "Vol 1 No 1 (2022): Jurnal Informatika" : 5 Documents clear
Implementasi Teknologi Big Data di Era Digital Nurul Fajriyah; Wawan Setiawan; Ernawati Dewi; Duha, Tobias
Jurnal Informatika Vol 1 No 1 (2022): Jurnal Informatika
Publisher : LPPM Universitas Nias Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57094/ji.v1i1.333

Abstract

Memasuki era Big Data, pihak yang mampu mengolah dan memanfaatkan data-data yang bervolume besar, cepat berubah, variatif, dan kompleks, dapat mengambil keuntungan yang besar. Mengacu pada manfaat besar yang dapat ditawarkan oleh teknologi Big Data, menarik untuk melihat sejauh mana Teknologi Big Data sudah dimanfaatkan di Indonesia, khususnya di lembaga pemerintahan maupun lembaga swasta, dan tantangan apa saja yang muncul dalam penerapannya.. Pengumpulan data pada penelitian ini dilakukan melalui teknik studi literatur. penulis melakukan pencarian dan mempelajari beberapa referensi seperti buku, jurnal maupun artikel ilmiah yang berkaitan dengan penelitian ini. Selanjutnya akan dipaparkan faktor-faktor yang memicu perkembangan pesatnya, klasifikasi data yang terdapat dalam Big Data, serta tahapan untuk mengelolanya.
Data Mining Technique in Detecting and Predicting Cyber In Marketplace Sector Waruwu, Jurisman; Hadinata, Wira; Febriyani, Siska; Wijayanti, Rini
Jurnal Informatika Vol 1 No 1 (2022): Jurnal Informatika
Publisher : LPPM Universitas Nias Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57094/ji.v1i1.350

Abstract

Marketplace is one business solution that can be profitable, because it is not bound by time and place. However, marketplace can be misused by irresponsible parties, and can harm others. Then a pattern is needed to predict cybercrime in order to prevent it. To get a pattern, we can use data mining. This paper presents a general idea about the model of Data Mining techniques and diverse cybercrimes in market place applications. This paper implements data mining techniques like K-Means, Influenced Association Classifier and J48 Prediction tree for investigating the cybercrime data sets. K-means selects the initial centroids so that the classifier can mine the record and also formulate predictions of cybercrimes with J48 algorithm. The knowledge of K-Means, Influenced Association Classifier and also J48 Prediction tree tends certainly to afford a enhanced, incorporated, and precise result over the cybercrime prediction in the marketplace sectors and prevent the cybercrime.
The Effect of Image Media on Learning Outcomes of Class V MIS Students in Siboruangin Village in Information Communication Technology (ICT) Subjects Baginda Harahap
Jurnal Informatika Vol 1 No 1 (2022): Jurnal Informatika
Publisher : LPPM Universitas Nias Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57094/ji.v1i1.352

Abstract

Student learning outcomes in the control class with conventional learning on the subject of Information and Communication Technology (ICT) material for class V MIS Siboruangin Village got an average pretest score of 41.2 with a standard deviation of 18.102 and a variance of 327.67,while the average post-test score was 67. ,6 with a standard deviation of 12.6754 and a variance of 160.667 from a total of 25 students. Student learning outcomes in the experimental class using image media in Information and Communication Technology subjects for class V MIS Siboruangin Village got an average posttest score of 42.4 with a standard deviation of 13.316656 and a variance of 177.33333 while the average post-test score was 76 with a standard deviation of 12.24744871 and a variance of 150 from a total of 25 students
Sistem Inventory Pada Gudang Aksesoris PT. Mulia Knitting Factory Yohanes, Yohanes; Wahidin, Ahmad Jurnaidi
Jurnal Informatika Vol 1 No 1 (2022): Jurnal Informatika
Publisher : LPPM Universitas Nias Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57094/ji.v1i1.353

Abstract

Information can be obtained more easily and quickly because of the existence of information technology, one of the uses of information technology is the application of warehouse inventory. PT. Mulia Knitting Factory already has several applications that serve business processes including purchase transactions, stock up to payment processing. However, not all sections have implemented this. Because for now the existing application is only for the input and output of goods from the warehouse, for example in the accessories warehouse. The stock file is not only needed by the warehouse department, but also by the purchasing department. With manual data collection, the inventory of goods is not immediately updated, so that errors in raw material inventory information still often occur. The author makes a web-based inventory application design that will be used by the accessories warehouse section and then can also be viewed or controlled by the purchasing department so that it can make it easier to control the purchase of goods and accessories needed. The research was conducted using the waterfall method to build applications so that the resulting applications are better and of higher quality. The resulting application is then tested using black box testing with the results of all tests being accepted, so the application can be used.
Analisis Layanan Cloud Computing Di Era Digital Duha, Tobias; Wawan Setiawan; Nurul Fajriyah
Jurnal Informatika Vol 1 No 1 (2022): Jurnal Informatika
Publisher : LPPM Universitas Nias Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57094/ji.v1i1.355

Abstract

Layanan cloud computing dihadirkan sebagai upaya untuk memungkinkan akses sumber daya dan aplikasi dari mana saja melalui jaringan Internet di era digital. Pada penulisan ini untuk memberikan gambaran mengenai cloud computing, review mengenai cloud computing terbagi menjadi 3 bagian yaitu karakteristik cloud computing, model layanan cloud computing dan model implementasi cloud computing. Karakteristik cloud computing terdiri dari on-demand self service, broad network access, resource pooling, rapid elasticity ,dan measured service. Penelitian ini dilakukan secara deduktif, dilakukan dengan cara mengkaji layanan cloud computing secara umum kemudian dilakukan pengkajian khusus mengenai perkembangan di berbagi bidang. Setelah dilakukan kajian deduktif maka peneliti akan mengidentifikasi permasalahan dan melakukan studi literatur terkait topik penelitian. Model layanan cloud computing melakukan terdiri dari software as a service (saas), platform as a service (paas) dan infrastructure as a service (iaas). Sedangkan untuk model implementasi cloud computing terdiri dari public cloud, private cloud, hybrid cloud dan community cloud. Pembahasan mengenai beberapa pendapat dan penelitian terdahulu tentang teknologi cloud computing, selanjutnya ditinjau kelebihan dan kekurangan yang dapat ditimbulkan atas implementasi.

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