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Erlangga, S.Kom., M.Kom
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INDONESIA
EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi
Core Subject : Science,
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.
Articles 194 Documents
Penerapan Metode Simple Additive Weighting untuk Pendukung Keputusan Pemilihan Balita Tersehat Diah Qisqadartunissa; Hendri Irawan; Pipin Farida Ariyani; Reva Ragam Santika
EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Vol 12, No 1 (2022): June
Publisher : Universitas Bandar Lampung (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/expert.v12i1.2477

Abstract

This study discusses the application of the Simple Additive Weighting (SAW) method in decision support for the selection of the healthiest toddlers at the Anggrek Bulan Posyandu, Larangan Village, North Larangan District, Tangerang City, Banten Province. In the stage of human growth and development, one of the important processes is during the growth period of toddlers. The growth of toddlers is an important point of success in the quality of subsequent human development. Constraints encountered in this study were the absence of appropriate decision support methods to assist the process of assessing the selection of children under five, so there was no information to determine the nutritional status of children under five and to know the intake of nutritious foods in the growth and development of toddlers, and the selection of the healthiest toddlers was less fast and less effective. The criteria used in the selection of the healthiest toddlers are determined to be 4 (four) namely Height, Weight, Upper Arm Circumference, and Head Circumference. Each criterion has a weight determined by the Chair of the Orchid Month Posyandu and the results of the matrix calculation between alternatives with criteria using the SAW method will produce toddlers who have the healthiest criteria to become the healthiest toddlers. This study resulted in the priority order of the healthiest toddlers in the application of the SAW method at the Orchid Bulan Posyandu. The application of SAW method is used to facilitate the possibility of inputting cost criteria in the future. The SAW method can display an alternative order of priority in the form of the highest to the lowest ranking, is easy to implement, and uses the concept of weighting. This research will produce a proposal for the right method in data processing to make it easier to help the Posyandu head in making decisions. The results of the application of this method are recommendations for the priority order of the healthiest toddlers that can be used as suggestions or input for the Posyandu Chair as a decision-maker in the selection of the healthiest toddlers.
Implementasi Markerless Augmented Reality untuk Mendukung Penjualan Furnitur Wiwin Susanty; Erlangga Erlangga; Taqwan Thamrin; Rexy Hari Rafsanjani; Usman Rizal
EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Vol 12, No 1 (2022): June
Publisher : Universitas Bandar Lampung (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/expert.v12i1.2637

Abstract

Technological developments in recent years have experienced very rapid changes, especially in the field of promotion and visuals. With the development of techniques that affect these aspects, it brings many changes that make it easier for the community, and at certain stages become problem solvers. In this study, a markerless Augmented Reality (AR) application that supports furniture sales will be designed. This application allows users to see the desired furniture product in 3D without using a marker that can be run in real-time. So far, to see pictures of furniture products, consumers have to come directly to the store to see the products they need. Alternatively, consumers can view the catalogs available on social media at the store or stores they visit. This study uses the AR method without markers. This eliminates the need for users to use one or more markers as recognition targets to display visual objects in furniture products. Unlike other applications, this application can be used as a medium to support sales of furniture that is more attractive because it can provide detailed information about all furniture products that are visualized interactively in 3D so that it can support furniture sales promotions.
Penerapan Certainty Factor pada Diagnosis Penyakit Tanaman Tomat Minarni Minarni; Rajib Gandi; Dede Wira Trise Putra
EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Vol 12, No 1 (2022): June
Publisher : Universitas Bandar Lampung (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/expert.v12i1.2553

Abstract

Tomato (Solanum lycopersicum) is a horticultural crop that has important economic value as a vegetable or fruit. Many problems arise in tomato production, causing a decrease in production yields, namely pests and diseases. Handling tomato disease is often constrained due to delays in diagnosing the disease. To overcome this problem, a system was designed that was used to diagnose tomato plant diseases by applying the Certainty Factor (CF) method. The CF method is a method used to express belief in an event in the form of facts or hypotheses based on evidence or expertise. The results obtained is an expert system application consisting of 7 tomato diseases with 16 symptoms. In this system, the user can choose the symptoms on plant, each selected symptom has a weight that will be used to obtain the results of disease determination. Testing on 25 data shows the suitability between the application and the expert is 88%. This represents the system is able to diagnose tomato plant diseases.
Pengaruh Penggunaan Aplikasi Gojek Terhadap Perilaku Mahasiswa Universitas Eryc Eryc
EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Vol 12, No 1 (2022): June
Publisher : Universitas Bandar Lampung (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/expert.v12i1.2552

Abstract

Currently, businesses engaged in online transportation are growing rapidly. The company really helps the community from doing daily activities to entertainment. The user only uses the phone, and the user can handle everything in one application. This software has many features from online food delivery, drug delivery, transportation, and so on. Corporate marketing is widespread and many people are free to use it, from high school students to adults. This research is to know the students' behavioral intentions. It is necessary to know the factors that attract users to Gojek application. The factors themselves are Performance Expectancy, Social Influence, Effort Expectancy, Facilitating Condition, Price Value, Hedonic Motivation, Habit to Behavioral Intention, and Use Behavior based on Unified Theory of Acceptance and Use of Technology (UTAUT 2) as a theoretical framework using Smart PLS -3, namely the acceptance of technology in the context of consumer use. Based on the results of research with 160 respondents among students in the city of Batam, there are 3 relationships that have positive and significant values. Variables that affect Behavioral Intention are Habit and Hedonic Motivation. then the variable that has an effect on Use Behavior is Behavioral Intention while the other variables have no significant effect. The results of the Coefficient of Determination (R2) test, the factors above have an effect on Behavioral Intention of 60.4% and the effect of Use Behavior is 54.4%.
Klasifikasi Penggunaan Masker dengan Convolutional Neural Network Menggunakan Arsitektur MobileNetv2 Ihsan Mudzakir; Toni Arifin
EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Vol 12, No 1 (2022): June
Publisher : Universitas Bandar Lampung (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/expert.v12i1.2466

Abstract

In the current pandemic situation caused by the COVID-19 virus. The spread of the virus comes from droplets or splashes attached to objects or public facilities. The use of masks is an effort to minimize the spread of this virus. The use of masks is required when carrying out activities in public places that allow spread. However, there are still people who are ignorant of this, so there must be officers who carry out supervision to bring order to the community so that they always wear masks. Classification by using Deep Learning to detect the use of masks is one way to help bring order to the community and assist officers in conducting surveillance. In this research, the Deep Learning model is made using the Convolutional Neural Network method and the MobileNetv2 architecture. The selection of this method is based on the effectiveness of the method in resource utilization that is not too heavy and can produce maximum accuracy. The dataset used is sourced from an open. The results of the model test for real-time mask detection succeeded in detecting objects in 2 classes, namely, mask and without a mask, and displayed excellent and accurate results with an average value of 0.99 on precision, recall, f1-score, and support.
Game Edukasi Introduksi Bilangan dan Operasi Aritmatika dengan Penerapan Algoritma Fisher–Yates Shuffle Athariq Rifki Yanda; Reva Ragam Santika; Anita Diana; Retno Wulandari
EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Vol 12, No 1 (2022): June
Publisher : Universitas Bandar Lampung (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/expert.v12i1.2476

Abstract

The introduction of numbers and arithmetic operations is basic learning in Mathematics aimed at students at the kindergarten level, where the learning method is still conventional and tedious. The solution that can be applied is to use an android educational game using the Fisher-Yates Shuffle method. useful in obtaining random permutations of a series of questions that allow the arrangement of similar questions to be impossible to appear again while avoiding students remembering the questions and their answers. The idea of making games is to create a new impression and make it easier to learn the introduction of numbers and arithmetic operations. The technique used is Game Development Life Cycle and Android-based Unity 3D software in the development of this educational game application. The application of the concept of User-Centered Design (UCD) is used in the evaluation in measuring game excellence with a Playability testing approach in the form of 4 criteria, namely gameplay, usability, mobility, and game story. The questionnaire was filled out by 10 respondents, namely kindergarten students with the assistance of their parents. Based on the assessment, it is determined that this game gets a score where gameplay is 75%, usability is 75%, mobility is 70%, and the game story is 70%. support kindergarten students in learning number introduction and arithmetic operations.
Implementasi Long Short-Term Memory pada Chatbot Informasi Akademik Teknik Informatika Unila Puput Budi Wintoro; Hilmi Hermawan; Mona Arif Muda; Yessi Mulyani
EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Vol 12, No 1 (2022): June
Publisher : Universitas Bandar Lampung (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/expert.v12i1.2593

Abstract

The times have made technology develop rapidly and rapidly, one of which is artificial intelligence. According to an Accenture survey, s can help organizations with up to 30% operational costs and users enjoy having 24/7 instant access to the answers they order. However, there are many organizations and companies that have not used s to facilitate business, one of which is the Informatics Engineering Study Program, University of Lampung (PSTI Unila). The purpose of this research is to able to apply the Long Short-Term Memory (LSTM) algorithm to the academic information at PSTI Unila and demonstrate the accuracy of the algorithm. Broadly speaking, this research consists of 4 stages: data collection and exploration, data preparation, building model and training, and testing the model. The model is tested using the user validation method which gets an accuracy of 99%. With these accurate results, this model is quite feasible to be used as a place for students to ask questions about PSTI Unila academic information.
Purwarupa RFID Student Smart Card Berbasis Raspberry pada Sekolah Menengah Kejuruan GT Ahmad Roihan; Endang Sunandar; Muhammad Asep Abdul Fatah
EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Vol 12, No 1 (2022): June
Publisher : Universitas Bandar Lampung (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/expert.v12i1.2526

Abstract

The conventional attendance system has problems and raises many questions so that administrative management becomes less effective and efficient. The focus of research is on making attendance tools an automatic attendance system by utilizing student cards as a tool to collect attendance data. Methods of collecting data were obtained by direct visits, interviews, and literature review. The analysis method is obtained by comparing the old system with the new one using the system development life cycle. The prototype method used in this research is the rapid prototyping approach. The RFID prototype for the attendance system uses student cards as a tool for attendance. So that the card becomes more useful and multi-functional. The purpose of this research is to help GT Vocational School in making a better automatic attendance system so that the system can make it easier for staff and teachers to manage attendance. The attendance system uses student cards as a tool for attendance, can make students more independent in the attendance process, and teachers just confirm on the website, and they don”t need to bring attendance papers anymore. With the automatic attendance system, all data is integrated into the website, the administrative section no longer prepares attendance papers for each teaching and learning activity.
Analisis User Behaviour Penerapan LMS Moodle Mobile dengan Metode TAM pada UMSIDA Ibrahim Ibrahim; Tri Lathif Mardi Suryanto; Eristya Maya Safitri
EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Vol 12, No 2 (2022): December
Publisher : Universitas Bandar Lampung (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/expert.v12i2.2646

Abstract

The Muhammadiyah University of Sidoarjo is one of the universities that implement an e-learning learning model using an LMS called Moodle UMSIDA. However, the adoption of the application is not free from such shortcomings as failing when trying to log in and others. This problem causes students to prefer to use other e-learning alternatives and makes the Moodle UMSIDA application less attractive. The purpose of this study is to analyze the factors that influence the acceptance of the Moodle UMSIDA application. Based on previous studies, it is evident that the Technology Acceptance Model (TAM) is a suitable measuring tool for conducting this research. In this study, the TAM model was adopted and modified based on the model developed by Said A Salloum. There are 385 response data from students obtained through online questionnaires and offline interviews, then analyzed using SEM-PLS. Based on the results obtained in this study, the variables of accessibility, computer self-efficacy, perceived enjoyment, user behavior, and perceived ease of use were significant to the acceptance of the Moodle UMSIDA application. The results of the research are considered for the application manager in carrying out development.
Sistem Pendukung Keputusan Menggunakan WASPAS dalam Menentukan Rumah Kost yang Strategis Elisabet Yunaeti Anggraeni; Adi Prasetia Nanda; Nungsiyati Nungsiyati
EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Vol 12, No 2 (2022): December
Publisher : Universitas Bandar Lampung (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/expert.v12i2.2767

Abstract

A boarding house is a place to stay temporarily when you have to be away from your house or the area where you live. In Indonesia, there are many students who, after graduating from high school or the equivalent, continue their studies outside the city, some even outside the province or island. The choice to continue their studies outside the area is based on several reasons, including because the majors desired and in accordance with their interests and talents are not available in their area of origin. Therefore, leaving the area or city of birth and settling in the area or city where the desired university is located must be an option. The development of a campus or college has an impact on the increasing demand for property by consumers, especially the need for boarding houses. Based on this background, it is necessary to determine strategic boarding houses using the Waspas method. The results of the calculations in determining strategic boarding houses are: 1. Melati boarding house (Q3) 8,700, 2. Anyelir boarding house (Q1) 6,342, 3. Orchid boarding house (Q4) 5,688, 4. Mawar boarding house (Q2) 5,502 . 5. Akasia boarding house (Q5) 5,125.