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INDONESIA
EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi
Published by Universitas Bandar Lampung
ISSN : 20885555     EISSN : 27457265     DOI : http://dx.doi.org/10.36448/jmsit.v10i1.1490
Core Subject : Science,
Computer Science & IT
EXPERT: Jurnal Manajemen Sistem Informasi dan Teknolologi menyajikan artikel/naskah dalam bidang teknologi informasi khususnya dalam Fokus pada 5 kelompok keilmuan di bidang sistem informasi yaitu: Sistem Informasi, Rekayasa Perangkat Lunak (RPL), Jaringan, Multimedia, Security, Teknologi Web dan Mobile serta Kecerdasan Buatan dan Game, serta tidak membatasi terhadap kajian-kajian sistem informasi lainnya meliputi: Information System, Business Intelligence, Logistic and Supply Chain Management, Customer Relationship Management, Human Resource Management, Intelligent Decision Support Systems, Enterprise Systems, Business Process Modelling, System Modelling, Management Information Systems, Economic Models for Information Systems, Mobile e-Business, Web Services for e-Business, Knowledge Management, Strategic Information Systems, Artificial Intelligence and Expert Systems, Balanced Scorecard, e-Commerce, Business Forecasting Process, Information Systems Change Management, Innovation in Information Systems and Change Management, Total Quality Management, Six Sigma for Performance Improvement, General Information Systems Related to Business Competitiveness.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 14 Documents
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Search results for , issue "Vol 11, No 2 (2021): December" : 14 Documents clear
Aplikasi Prediksi Penjualan Kopi dengan Metode Single Exponential Smoothing untuk Mengetahui Produk Kopi Terlaris Robby Yuli Endra; Oktavia Laurina
EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Vol 11, No 2 (2021): December
Publisher : Universitas Bandar Lampung (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/expert.v11i2.2212

Abstract

Indonesia is the fourth-largest coffee exporter in the world. for the Indonesian state, it only focuses on quantity, in fact, the quality of Indonesian coffee has been recognized by various parties in various countries. The majority of the Indonesian population likes coffee, especially the people of Lampung, but only with certain types of coffee such as Arabica, Robusta, etc. Therefore, coffee sellers must provide a stock of various types of coffee products. In the supply of coffee products with various types, it can cause difficulties in providing coffee products and effective storage so that the existing products are preserved and the quality of taste is maintained. The provision of coffee products is carried out using estimates without any definite calculations and also the seller has not been able to predict the coffee products that are often in demand by consumers. Based on the problems experienced, we need a method that is able to predict the coffee products that will be sold a lot, so that there is no accumulation of product stock. One method that can help solve this problem is to use the single exponential smoothing method. Single exponential smoothing is one of the existing methods in the forecasting (prediction) system. By looking at the problems and methods that have been determined to solve the problems, this research will build a forecasting application (prediction). This system can help sellers in predicting coffee product sales. So that sellers can find out which coffee products will be selling well and can prepare the amount of coffee availability that customers are interested in.
Aplikasi Agenda Surat Keluar dan Surat Masuk Berbasis Filing System Wiwin Susanty; Fikri Rahman; Taqwan Thamrin
EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Vol 11, No 2 (2021): December
Publisher : Universitas Bandar Lampung (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/expert.v11i2.2254

Abstract

This study aims to facilitate the organizers or staff or administrative staff to make an efficient and effective schedule. The benefit of this research is that it can improve the ease of scheduling and minimize problems for organizers in scheduling activities. This research method uses a Filing System which is an indicator of looking for letters based on the calendar, subject, letter number, and others when the letter is needed or needed. The data collection technique uses an approach technique or commonly called a qualitative technique, namely by means of observation to ensure that the company still performs scheduling activities manually. Then conducted interviews with the authorities in the correspondence section. The research location is at the Department of Culture and Sports of Bandar Lampung City. The result of this research is that if the organizer does the scheduling, it can save time, energy, and storage. because everything is done computerized.
Perancangan Sistem Informasi Kelengkapan Pengisian Resume Medis Rawat Jalan di Rumah Sakit Nurafni Hanifah; Sabila Aulia Reihan; Yuda Syahidin; Meira Hidayati
EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Vol 11, No 2 (2021): December
Publisher : Universitas Bandar Lampung (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/expert.v11i2.2109

Abstract

Hospital is an establishment that's engaged within the field of health service institutions that provide perfect health services for every individual who organizes outpatient, inpatient, and emergency services. By providing health services, hospitals must have complete data from patients in order that services get optimal results. At the time of service, the medical history department is that the most vital role. additionally, to provide services together with it, the medical history section also processes historical data from the patient. This medical record consists of registration, filling inpatient data, processing, data analysis, and documentation. If the medical record sheet is filled out completely and properly, the health history is going to be said to be appropriate and good. the tactic administered through chemical analysis resulted in the conclusion that the outpatient medical resume form in 2019 at the Bandung Hospital was found to possess an incomplete authentication review. The hospital must improve improvements in filling out the medical resume form for authentication that has got to be filled out completely because this authentication is proof that the doctor has done treatment for his patient.
Pengukuran Sentimen Sosial Terhadap Teknologi Kendaraan Listrik: Bukti Empiris di Indonesia Atha Fitrah Riyadi; Faiz Ramadhani Rahman; Muhammad Aldiansyah Nofa Pratama; Muhammad Khanif Khafidli; Harry Patria
EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Vol 11, No 2 (2021): December
Publisher : Universitas Bandar Lampung (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/expert.v11i2.2171

Abstract

Currently, climate change due to global warming is a concern for many parties. The greenhouse gas emissions level is increasing day by day. The major contributors to Air pollution are the greenhouse effect. Transportation accounts for about 27% of air pollution, and governments in various countries use electric vehicles to reduce air pollution. However, the success of using electric vehicles is depending on perception, people’s sentiment, and understanding. The main purpose of this research is to find out how public sentiment towards electric vehicles is through tweets and comments on the Twitter social media platform using sentiment analysis. The data obtained are 1084 tweets and comments. The data were classified using the Naïve Bayes method, K-Nearest Neighbor, and Decision Tree. The results showed that the Naïve Bayes Classification Method gave better results than K-Nearest Neighbor, and Decision Tree with an accuracy rate of 94% positive sentiment by 53%, negative sentiment by 38%, and neutral sentiment by 9%. So, it can be concluded that public sentiment towards electric vehicles is quite good based on conversations on the Twitter social media platform. In addition, the author also visualizes the results of the analysis in the form of graphs and word clouds so that they can help the electric vehicle industry players to understand public sentiment better and more accurately. 

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