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All Journal Proceeding of the Electrical Engineering Computer Science and Informatics Abdi Reksa
Boko Susilo
University of Bengkulu
Computer Science & IT Electrical & Electronics Engineering Engineering Social Sciences

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Design and Implementation of the Culinary Recommendation System Using Sentiment Analysis and Simple Adaptive Weighting in Bengkulu, Indonesia Yudi Setiawan; Boko Susilo; Aan Erlansari; Sumitra Firdaus; Evi Maryanti
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (558.677 KB) | DOI: 10.11591/eecsi.v5.1626

Abstract

In 2017, the minister of Indonesia tourism stated that everyone who travels spends his time for culinary about 30-40%. The key point in increasing the tourism income; especially from the culinary sector is about how to inform and promote the wealth of Indonesia culinary to all travellers. The information system of Bengkulu tourism has been developed in the previous study. However, that system has not been able to provide the best culinary recommendations to the travellers. This study focuses on designing and implementing the recommendation system of Bengkulu culinary by using sentiment analysis and simple adaptive weighting (SAW). The recommendation offered is based on the user review and criteria as well. The user review will be classified into positive, negativeand neutral reviews by the sentiment analysis method. If the user needs culinary information based on criteria, the system will provide a recommendation and rank of culinary by using simple adaptive weighting. These criteria used are the average price,opening hours, facilities, distance from a central city, and transportation as well. Sentiment analysis method obtains the accuracy of recomendation classification at 79% while the recommendation rank obtained by the SAW method is 90.83%. These results show that the proposed method has a potential for assisting the travellers to gain the best culinary recommendation, especially in the Bengkulu area. 
Pelatihan Penggunaan Sistem Informasi Whatsapp Blast untuk Meningkatkan Response Rate Tracer Study Pendidikan Vokasi di SMKN 1 Bengkulu Andang Wijanarko; Aan Erlanshari; Boko Susilo
Abdi Reksa Vol. 5 No. 1 (2024)
Publisher : UNIVERSITAS BENGKULU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31186/abdireksa.5.1.103-110

Abstract

The implementation of the vocational education tracer study at SMKN 1 Bengkulu City carried out by "Bursa Kerja Khusus" (BKK) team experienced many obstacles, so the number of alumni completing the tracer study was still very small. One of the obstacles is that there are no facilities or innovations provided by the school to help the BKK team carry out intense communication with alumni. Therefore, SMKN 1 Bengkulu City really needs an information system to provide information to alumni about how important it is to fill out surveys on the tracer study platform via WhatsApp Blast technology. The method for implementing community service activities is generally carried out through the stages of analysis, design, implementation, as well as training and evaluation. The result of this community service activity is that the website-based WhatsApp Blast information system was successfully built using the PHP, HMTL, CSS Javascript and MySQL programming languages, with the aim of increasing the tracer study response rate at SMKN 1 Bengkulu City. Based on the evaluation of the activities that have been carried out, the BKK team at SMKN 1 Bengkulu City generally believes that the WhatsApp blast system is very helpful in operational tracer study activities. Therefore, it is hoped that the WhatsApp Blast system can increase the number of response rates, or in other words can increase the number of alumni who fill out surveys on the vocational study tracer platform in the nearest period.
Co-Authors Aan Erlansari Aan Erlanshari Andang Wijanarko Evi Maryanti Sumitra Firdaus Yudi Setiawan