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All Journal TeknoIS : Jurnal Ilmiah Teknologi Informasi dan Sains
Arif Harbani
Universitas Binaniaga Indonesia. [https://orcid.org/0000-0003-0565-4452]
Computer Science & IT Decision Sciences, Operations Research & Management Engineering

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Penerapan Restful API Pada Push Notofication Untuk Rekam Data Perwalian Arif Harbani; Pangestu Septiansyah
TeknoIS : Jurnal Ilmiah Teknologi Informasi dan Sains Vol 13, No 1 (2023)
Publisher : Universitas Binaniaga Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36350/jbs.v13i1.170

Abstract

Guardianship is counseling carried out by students with guardian lecturers, to provide direction for the tutoring process at the tertiary level. Currently the academic guardianship system has an indication of a problem, which is when the student has a guardianship record every semester. And in the existing guardianship academic system, they don't have that yet. Because it is caused by students who are on leave and students who are repeating courses. In addition, guardian lecturers cannot track courses taken by students, this can be said to be ineffective. Thus, data recording and Reminder Information were developed, so that guardian lecturers can carry out the teaching and learning process more effectively and students can carry out lectures properly, because of the technology used in the academic system. This research uses the RestFul API method on Push Notifications to Record Guardianship Data to be more effective. Then to Respond and Request trust history data, namely using JSON, so that it is more structured and easier to use. The methods applied are Get, Post, Put, and Delete. Each method has uses, namely displaying trusteeship data records using the Get method, then providing guardianship records using the Post method, as well as changing records using the Put method and deleting using the Delete method. With the implementation of the RestFul API in Push Notification for the trust data recording system, a feasibility test has been carried out and obtained a value of 81.05%, which means that the application built is very feasible so that it can help the process of recording trust data.
Penerapan Metode Per Connection Classifier dan Failover Untuk Meningkatkan Optimasi Koneksi Jaringan Internet Aris Aditya Nugraha; Arif Harbani
TeknoIS : Jurnal Ilmiah Teknologi Informasi dan Sains Vol 13, No 2 (2023): July
Publisher : Universitas Binaniaga Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36350/jbs.v13i2.209

Abstract

The need for internet access is currently very high considering the need to search for information, articles or the latest knowledge. Many agencies or companies have integrated the internet network into their main needs in carrying out a goal in order to achieve the vision or mission of the agency or company that must be completed in accordance with the business processes that have been made. Basically, all companies want an internet connection that is effective and efficient in its use. Therefore, a solution arises from the existing problem to use two Internet Service Providers and make the proxy router a Load Balancer. The mechanism is that the proxy balances the load on an existing network. Based on the system development method used, namely the Network Development Life Cycle (NDLC), before determining the load balancing method used, an analysis of the traffic conditions running on a network is carried out and monitoring to obtain history on a network. The selection of Per Connection Classifier Load Balancing can meet the criteria because it optimizes existing connections so that there is no buildup or overload. Application of the Failover Technique, that is, if one connection from the ISP is lost, it will automatically look for a gateway that is used as a backup so that it can back up all network traffic. In addition to Load Balancing and Failover, bandwidth management is also implemented according to the needs and characteristics of user usage. In the results obtained from the evaluation for the Network Expert Test, there are results with a feasibility presentation of 100%, which means it is categorized as "Very Eligible". all statements submitted are Valid and Reliable.
Co-Authors Aris Aditya Nugraha Pangestu Septiansyah