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This Author published in this journals
All Journal International Journal of Computer and Information System (IJCIS) Jurnal INFOTEL
Edy Susena
Polytechnic Indonusa Surakarta
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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Employee Admissions Information System Web-based at CV Galerindo Nusantara Edy Susena; Edy Susanto; Dwi Iskandar; Muhamad Handi Stiawan
International Journal of Computer and Information System (IJCIS) Vol 2, No 2 (2021): IJCIS : Vol 2 - Issue 2 - 2021
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v2i2.28

Abstract

CV Galerindo Nusantara company still uses manual methods in the recruitment process, namely prospective employees must come to the company to apply for work and still use paper so that companies need a computerized system that can facilitate employee recruitment activities. Based on these problems the authors seek solutions to make it easier for companies to overcome these problems. In developing this system, the author uses the waterfall method, namely the work of a system that is carried out sequentially or linearly. The results of the web-based employee recruitment information system at CV Galerindo Nusantara which was created by the author are to produce a system that can make it easier for prospective employees and companies to carry out computerized employee recruitment activities as well as time efficiency and make it easier for prospective employees to access information systems.
Webservice Learning Preparation Report Polytechnic Indonusa Surakarta Edy Susena; Dwi Iskandar; Muhammad Hari Wahyudi
International Journal of Computer and Information System (IJCIS) Vol 2, No 4 (2021): IJCIS : Vol 2 - Issue 4 - 2021
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v2i4.47

Abstract

Polytechnic Indonusa Surakarta is a private university that has various study programs available. Some of the study programs must report learning preparation reports every semester which must be submitted and validated directly by Deputy Director I as an academic field. At first these activities were carried out manually and not yet computerized so as to facilitate program studies in conducting consultations and Deputy Director I who had a busy schedule but had to validate manually. This system was created with the aim of making it easier for Polytechnic Indonusa Surakarta side in collecting file, conducting consultation, signing signatures, and making learning preparation reports. Data collection methods used include the method of literature study, observation, interviews and documentation. This system will use a MySQL database with the PHP programming language with the Laravel framework. The method used in making this web service is the waterfall method. The result of the webservice learning preparation report is that the webservice system can facilitate both study programs in submitting and conducting consultations and Deputy Director I in conducting validation, consulting, and preparing learning preparation reports. This system will store data from reports that are entered into the webservice database
Increased Accuracy Of Sequence To Sequence Models With The CNN Algorithm For Multi Response Ranking On Travel Service Conversations Based On Chat History Wahyu Wijaya Widiyanto; Uli Rizki; Edy Susena
JURNAL INFOTEL Vol 12 No 2 (2020): May 2020
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v12i2.470

Abstract

Building a chatbot cannot be separated from the knowledge base. The knowledge base can be obtained from data that has been labeled by the developer, documents that have been converted into pre-processing data, or information taken from social media. In this case, the data used as knowledge is chat history. In the chat history there are certainly many variations of answers and allowing a question to give rise to many answers. To overcome these multi responses, response was made. The existence of ranking, of course the response desired by the user will be more appropriate. Challenge in ranking is how to get the essence a question and find pairs questions and answers from the data. This can be solved by a sequence to sequence model. However, the problem that will arise is the consistency of the answers. The existence of a lot of chat history certainly raises many explanations, even though the question's essence is the same. For this reason the CNN algorithm as a solution to the problem. This research uses convolutional sequence to sequence which will be applied for ranking responses. We compare the efficiency of this model. By making comparisons, this model shows an accuracy of 86.7%
Co-Authors DWI ISKANDAR Edy Susanto Muhamad Handi Stiawan Muhammad Hari Wahyudi Wahyu Wijaya Widiyanto