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All Journal CESS (Journal of Computer Engineering, System and Science) Jurnal Mantik Paradigma
Verry Riyanto
Universitas Bina Sarana Informatika
Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media

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Firewall Design Using Access Control List Method As Data Filtering Niar Adisty Putra; Verry Riyanto; Ganda Wijaya; Nuraeni Herlinawati
Jurnal Mantik Vol. 5 No. 3 (2021): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The need for real-time information is very important, to get it quickly and even in real time it must be supported by a fast and stable internet network connection. In addition, it must also be able to protect the network connection from all kinds of threats that can interfere with the connectivity of the connection. In implementing the firewall within the company, the concern is the device used, because the implementation of the firewall on each device is different. Utilization of this firewall is used to filter data packets that will enter the network, using the ACL feature. By using ACL data filtering can be done or as a site blocker that is considered unnecessary to be accessed by all clients on the local network. In addition, as security in the local network, the logical division of network groups can be applied using VLANs, the application of VLANs is found on Catalist Switches or Multilayer Switches. As a security for the physical path of the VLAN connection, a special physical connection path is given to important network devices, so that if there is a down or disconnected physical path, it does not interfere with other VLAN connections
Payroll Program Design at The Employee Cooperative of The Republic Indonesia Kancawinaya Teachers Karawang Nuraeni Herlinawati; Dahlia Dahlia; Verry Riyanto; Ganda Wijaya
CESS (Journal of Computer Engineering, System and Science) Vol 7, No 2 (2022): July 2022
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v7i2.36775

Abstract

Saat ini Teknologi Informasi (TI) sangatlah berpengaruh dalam dunia kerja. Koperasi Pegawai Republik Indonesia (KPRI) Guru Kancawinaya membutuhkan sekali adanya suatu sistem penggajian yang terkomputerisasi untuk mempermudah dalam pembagian gaji pegawai sehingga memperoleh hasil yang akurat. Untuk itulah penulis termotivasi untuk melakukan penelitian pada Koperasi Pegawai Republik Indonesia Guru Kancawinaya dan membangun sebuah program yang dapat memecahkan masalah dalam pengelolaan data penggajian sehingga dapat memperoleh hasil yang akurat. Dengan banyaknya unit usaha yang dimiliki oleh Koperasi Pegawai Republik Indonesia (KPRI) Guru Kancawinaya maka dibutuhkan sumber daya manusia yang dapat mengelolanya. Pengurus koperasi tidak akan mungkin bisa mengelola semuanya, oleh karena itu diperlukan beberapa pegawai pada unit usaha yang dimiliki koperasi. Penggajian adalah sesuatu yang sangat vital dalam dunia kerja dan jika dalam pengelolaanya tidak baik dapat menimbulkan resiko seperti: kecurangan, kesalahan dan penyelewengan yang akibatnya akan membuat perusahaan menjadi rugi, dalam hal ini adalah koperasi. Oleh karena itu dibutuhkan adanya sistem penggajian yang terkomputerisasi dan diterapkan dengan baik supaya memperoleh informasi yang handal.
Grouping Data in Predicting Infant Mortality Using K-Means and Decision Tree Ridwansyah Ridwansyah; Verry Riyanto; Abdul Hamid; Sri Rahayu; Jajang Jaya Purnama
Paradigma Vol. 24 No. 2 (2022): September 2022 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (391.355 KB) | DOI: 10.31294/paradigma.v24i2.1399

Abstract

Death is something that we cannot avoid where, when and how death comes. The high infant mortality rate is the main thing and the Indonesian government must prioritize, one of the government's efforts to reduce infant mortality is by conducting a surveillance program, namely PWS KIA where the program is uniting the health of mothers and babies in the local area, basically there are several infant deaths that have causes from the time of pregnancy, accidents, disasters, diseases or because it is destiny from God, for that research is carried out in classifying infant mortality data. For grouping infant mortality data, a K-Means method is needed to analyze data by carrying out a data modeling process without supervision or also known as unsupervised learning. In showing the centroid in the early stages of the k-means algorithm, it is very influential on the results of the cluster carried out on the infant mortality dataset. taken from data.go.id with different centroid results. The results of the clustering model pattern that can be trusted by the government or the Health department to prevent infant mortality. From the clustering results, four labels are tested again using the decision tree algorithm.
Optimization of the YOLOv7 Object Detection Algorithm for Estimating the Amount of Apple Harvest Verry Riyanto; Imam Nawawi; Ridwansyah Ridwansyah; Ganda Wijaya; Toto Haryanto
Paradigma Vol. 25 No. 1 (2023): March 2023 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v25i1.1809

Abstract

The increasing population consumed in high production and food needs for survival. Apples are one of the crop harvest products in Indonesia whose needs are increasing, because they are not only needed for human vitamins but can be used as hand fruit or a form of gratitude to those who receive the fruit. In the process of harvesting apples in agricultural land, harvesting is often found which is not feasible in the hands of consumers because it takes too long for apples to not be harvested when the condition of the fruit is feasible in maturity. Therefore, the authors approach this problem by processing the image results obtained to form a detection model, whether the apples are said to be feasible to be harvested immediately and from the image results it can also be calculated the number of fruits captured by the image model , feature enhancements Estimates on objects from this image model are expected to provide more timely harvest predictions in order to provide longer aging of apples and good fruit quality after reaching consumers
Co-Authors Abdul Hamid Dahlia Dahlia Ganda Wijaya Imam Nawawi Jajang Jaya Purnama Niar Adisty Putra Nuraeni Herlinawati Ridwansyah Ridwansyah Sri Rahayu Toto Haryanto