cover
Contact Name
Tonni Limbong
Contact Email
jurnal.means@gmail.com
Phone
+6281267058001
Journal Mail Official
tonni.budidarma@gmail.com
Editorial Address
http://ejournal.ust.ac.id/index.php/Jurnal_Means/about/editorialTeam
Location
Kota medan,
Sumatera utara
INDONESIA
MEANS (Media Informasi Analisa dan Sistem)
ISSN : 25486985     EISSN : 25993089     DOI : -
Core Subject : Science,
Jurnal MEANS berdiri sejak Tahun 2016 dengan SK dari LIPI yaitu p-ISSN : 2548-6985 (Print) dan e-ISSN : 2599-3089 (Online) Terbit dua kali setiap Tahunnya yaitu Periode I Bulan Juni dan Periode II Bulan Desember Hasil Plagirisme Maksimal 25%, Lebih dari 25% Artikel Tidak Bisa Publish. Ruang lingkup publikasi ini adalah untuk bidang Ilmu Komputer seperti : 1. Sistem Informasi 2. Manajemen dan Audit Sistem Informasi 3. Aplikasi Dekstop 4. Web dan Mobile 5. Sistem Pendukung Keputusan 6. Sistem Pakar 7. Pembelajaran berbasis Komputer 8. Kriptografy 9. Bidang Ilmu Koputer yang lainnya.
Articles 15 Documents
Search results for , issue "Volume 5 Nomor 1" : 15 Documents clear
Visualisasi Hasil Produksi Pangan di Provinsi Nusa Tenggara Timur Abineno, Richard Sanni; Mamulak, Natalia Magdalena R.; SinlaE, Alfry Aristo Jansen
MEANS (Media Informasi Analisa dan Sistem) Volume 5 Nomor 1
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (734.256 KB) | DOI: 10.54367/means.v5i1.570

Abstract

The Agriculture Office of the Province of East Nusa Tenggara (NTT) is a regional apparatus with the main task of providing services to the community in the agricultural sector, one of which is food. In the website http://distan.nttprov.go.id does not yet contain information about the results of food production in a complete and clear manner. To overcome this problem, it is necessary to build a Food Production Visualization which is expected to display a picture of food production based on production years, commodity types and production output from each district in East Nusa Tenggara Province which is easily accessible and understood by the community. The method used in this study is the method of developing the waterfall system (waterfall cycle). The graphic design displayed on this website uses ChartJS. The programming language used is PHP 7 and MySQL as a database server. The results of this study are a Web-based Visualization of Food Production in the Province of East Nusa Tenggara that contains complete and clear information and is easily accessible to all parties.
Computer Vision : Identifikasi Umur Ikan Koi Berbasis Android Hasan, Yasir
MEANS (Media Informasi Analisa dan Sistem) Volume 5 Nomor 1
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (448.047 KB) | DOI: 10.54367/means.v5i1.754

Abstract

Koi fish have a long life of more than 200 years, but in general Koi fish are currently around 50 to 70 years, this is due to inadequate facilities and lack of knowledge in Koi fish care. The age of koi fish can be known in several ways, such as knowing by looking at the annual signs or called Annulus and a daily called Circulus. This method is done by observing certain body parts in Koi fish. However, this method is not appropriate at this time and only people who have special expertise can know the age of koi fish. Utilization of computer technology can be used to determine the age of koi fish. The right technology that can be used is computer vision by utilizing a camera on a handheld computer device. In addition, the method that can be used is to process knowledge data on koi fish in the form of long frequencies or size distances. Better size distance in image processing is the Euclidean Distance method. Utilization of this applied technology to determine the age of koi fish is done by measuring the distance of the points specified on the koi fish object as the length of the koi fish. Of course, to do this the system must be equipped with knowledge about the size of koi fish in real terms.
Penggunaan Algoritma Profile Matching Untuk Perekrutan Karyawan Fadilah, Novian; Amini, Safrina
MEANS (Media Informasi Analisa dan Sistem) Volume 5 Nomor 1
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (783.04 KB) | DOI: 10.54367/means.v5i1.708

Abstract

The success of a company is located on how to manage the human resources it owns. The proper management of resources and really appropriate employee field expertise is mandatory. To get a truly qualified human resources then it is necessary to do the recruitment of employees who actually comply with the operational standards of procedures. Inappropriate employee recruitment process will result in employees with poor performance and not as expected by the company. Assessment of prospective employees test results sometimes with certain prospective employees to harm the company. To overcome the problem then this research using profile matching method with the result of the research in the form of each prospective employees. Leaders can see the value of each prospective employee and can make a decision
Sistem Komputerisasi Pembayaran Administrasi Siswa pada Sekolah Menengah Kejuruan (SMK) Al-Insan Cilegon Haerani, Reni
MEANS (Media Informasi Analisa dan Sistem) Volume 5 Nomor 1
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1056.596 KB) | DOI: 10.54367/means.v5i1.669

Abstract

Changes that occur in the field of technology, communication and information are so fast, requiring schools to provide optimal services to their students, especially in Al-Insan Cilegon Vocational School. The student administration payment system at the Al-Insan Cilegon Vocational School still uses the manual method which is written in a financial book. The process can take a long time and the data storage is still in the form of an archive. To overcome these problems computerized systems need to be made. The research method used is descriptive method. Data collection is done by means of observation and interviews. This research uses the Visual Basic programming language. Net and produce a computerized system that can help SMK Al-Insan Cilegon to provide services in the administrative payment of their students. Keywords: computerized system, payment administration, visual basic.net
Penentuan Calon Sub-Kontraktor menggunakan Metode Analytical Hierarchy Process (AHP) dan Simple Additive Weighting (SAW) Zikri, Arif; Cristanto, Adam Syahputra; Imelda, Imelda
MEANS (Media Informasi Analisa dan Sistem) Volume 5 Nomor 1
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (830.21 KB) | DOI: 10.54367/means.v5i1.740

Abstract

One factor in the durability of a contractor company is its sub-contractor. The management of sub-contractors for companies engaged in construction services is one aspect of the company's durability to be able to complete the project that the selection is doing manually by viewing one single file That is sent by the company who wants to be a sub-contactor, it is of course besides very troublesome also inefficient and time consuming quite a while. In determining the winner of the Procurement Committee is still having difficulty to determine the standard of the company that will become a sub-contractor, not to mention the assessment is subjective so that the elected candidate is not the best candidate. The methods used in this research use Analytical Hierarchy Process (AHP) for weighting of criteria and for calculation of value using Simple Additive Weighting (SAW) of the results of the research obtained from the SAW method used Obtained by the best sub-contractor of PT. 4Cipta with a total of 0.962 from 5 alternatives listed
Rancang Bangun Augmented Reality Untuk Website Penjualan Sepatu Moerhamsa, Albar
MEANS (Media Informasi Analisa dan Sistem) Volume 5 Nomor 1
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (633.377 KB) | DOI: 10.54367/means.v5i1.601

Abstract

Penggunaan jual beli online saat ini sudah sangat mudah ditemukan di masyarakat, augmented reality merupakan sebuah teknologi yang mampu menampilkan objek 3 dimensi dan juga 2 dimensi digital kedalam dunia nyata, kemampuan menampilkan objek digital ini dapat digunakan pada berbagai bidang seperti pendidikan, ekonomi dan juga dapat digunakan untuk sebagai media hiburan. Penelitian ini menggunakan teknologi augmented reality yang di terapkan di dalam sebuah website penjualan sepatu sehingga pengguna website ini dapat melihat langsung secara 3 dimensi bentuk dari sepatu, karena pada saat ini website e-commerece hanya menampilkan gambaran 2 dimensi dari produk yang ada di website, dengan dapat melihat objek 3 dimensi ini pengguna akan lebih mudah untuk melihat produk yang akan dibeli sehingga dapat meningkatkan kepuasan pengguna.
Implementasi Data Mining Menggunakan Algoritma Apriori Pada Penjualan Sepeda Motor Jenis Honda (Studi Kasus : Showroom Honda Arista Pematangsiantar) Sinaga, Lestari; Ahmad, Abdullah; Safii, Muhammad
MEANS (Media Informasi Analisa dan Sistem) Volume 5 Nomor 1
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (964.229 KB) | DOI: 10.54367/means.v5i1.518

Abstract

Showroom Honda Arista merupakan salah satu showroom atau Dealer yang menyediakan jual beli kendaraan sepeda motor Honda dengan berbagai type dan harga. Data mining ialah serangkaian proses untuk menggali nilai tambah dari suatu kumpulan data berupa pengetahuan yang selama ini tidak diketahui secara manual. Salah satu metode yang data mining yang digunakan dalam penelitian ini adalah Metode Apriori. Metode Apriori merupakan salah satu teknik data mining yang berfungsi untuk menemukan aturan asosiatif antara suatu kombinasi item. Barang yang dianalisis yaitu barang yang dipesan bersamaan dengan barang lainnya atau dengan kata lain pemesanan lebih dari satu barang namun tetap melibatkan data pemesanan keseluruhan. Adapun item-item yang masuk kedalam data penjualan ialah Revo, Supra, Beat, Vario, Sonic, PCX, CB, Scoopy, Megapro, Verza, CBR. Hasil dari association yang berupa informasi mengenai Honda merk apa saja yang dibeli secara bersamaan oleh konsumen, dapat digunakan sebagai bahan pertimbangan untuk menetapkan Strategi Pemasaran dan pada data transaksi. Kata kunci: Showroom Honda, Data Mining, Apriori
Implementasi Metode Profile Matching untuk Penentuan Mahasiswa Berprestasi Siagian, Edward Robinson
MEANS (Media Informasi Analisa dan Sistem) Volume 5 Nomor 1
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (801.362 KB) | DOI: 10.54367/means.v5i1.752

Abstract

Decision support systems developed at the beginning of the era of distributed computing and began to develop in the 1960-1970s, as a result of a number of other factors: hadware and software technology, research efforts by academics from universities, began to grow awareness of the support of a decision and the desire to obtain better information. In this study, a case will be raised, which is looking for the best alternative based on student competence in the "XYZ" educational institution by applying the profile matching method. This method was chosen because it is able to select the best alternative from the aspects of existing criteria. The study was conducted to find the value of weight for each aspect, such as examples of academic aspects and non-academic aspects of students, then the ranking process of selected prospective students who have been selected, and the output of the application can help decision makers in choosing alternative students who excel.
Perancangan Aplikasi Peminjaman Pada PT. BANK Perkreditan Rakyat (BPR) Pijer Podi Kekelengan Medan dengan Metode Secure Election Protocol Matondang, Zekson Arizona; Gulo, Mega Sastri Indah Lestari
MEANS (Media Informasi Analisa dan Sistem) Volume 5 Nomor 1
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (804.383 KB) | DOI: 10.54367/means.v5i1.682

Abstract

In the era of computerization of information that has developed rapidly there is a growing operating system including mobile phones and smartphones. Android is software for mobile devices that includes the Android operating system equipped with an Android SDK (Software Development Kit) that provides tools and supports the need for API (Application Programming Interface) needed to develop loan registration and simulation applications at PT BPR Pijer Podi Kekelengen Medan Secure Election Protocol Method. Pijer Rakyat Credit Bank Podi Kekelengen is a financial institution that functions to serve credit and savings for customers. Simulation is a calculation that gives an idea of the amount of installments in a financing. Loan registration and simulation applications can provide information to prospective customers about product.
Rancang Bangun Infrastruktur Big Data pada Institusi Pendidikan Tinggi Multi Kampus Kristiyanto, Daniel Yeri; Suhartono, Bambang
MEANS (Media Informasi Analisa dan Sistem) Volume 5 Nomor 1
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1047.369 KB) | DOI: 10.54367/means.v5i1.681

Abstract

Nowadays is referred to as the era of big data where every individual or organization produces large amounts of data through various digital devices used. Higher education institutions continuously produce data and only strore it in various data formats and physical files, thus creating massive raw data. Collection of data created from a long time produces big data, so it is difficult to be treated manually or processed using conventional data processing applications. Higher education is an educational institution that always produces data from time to time continuously through various affairs in each of its parts. Multi campus institutions have physical locations that are far apart from one to another with more than one physical infrastructure. Each campus branch produces its own data, this requires a though about how to build a large data infrastructure, so that stakeholders can use various data from each branch of the campus for the analysis process of various needs of tertiary institutions. Multi campus big data infrastructure is the focus of this research, through the stages of big data sampling on multiple campuses using statistical and prototyping methods, so that data flow and data unity can be standardized in all branches of the campus by minimizing infrastructure constraints that are based on socioculture and spatial aspects.

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