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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 10 Documents
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Search results for , issue "Vol 12, No 2 (2022): December" : 10 Documents clear
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.
Sentimen Analisis Twitter Ibu Kota Negara Nusantara Menggunakan Long Short-Term Memory dan Lexicon Based Saepul Aripiyanto; Tukino Tukino; Ammar Sufyan; Riandi Nandaputra
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.v12i2.2821

Abstract

In the 2020 APJII Survey, Indonesians who use Twitter for social media are 10% of the entirety of social media users in Indonesia (APJII 2020), the issue that is being discussed a lot both on social media and offline discussions, is the National Capital City (IKN) of the Archipelago, which is the new capital city of the Republic of Indonesia. The relocation of the capital city raises pros and cons. With these pros and cons, an analysis of public sentiment regarding the IKN issue becomes a necessity. In this research, the model that will be used to analyze sentiment analysis uses the Long Short Term Memory (LSTM) algorithm and lexicon based on two scenarios, which is the scenario that uses 100 data of tweets and 5112 data of tweets. The results for the 100 tweets dataset scenario obtained 64% accuracy, 40% precision, 64% recall, and 79% F1-Score. Meanwhile, the results for the 5112 tweets data scenario obtained 79% accuracy, 82% precision, 79% recall, 79% F1-Score. The sentiment results obtained from the 5112 tweets data are 44.8% positive sentiment, 36.2% negative sentiment and 19.0% neutral sentiment. Based on this research, the number of datasets will affect the performance of deep learning models built using lexicon based and LSTM algorithms.
Penerapan Metode Enterprise Architecture Planning dalam Pengembangan Kelestarian Alam TNWK Lampung Hilda Dwi Yunita; Triyugo Winarko
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.v12i2.2790

Abstract

Way Kambas National Park in Lampung is a National Park in which there are various kinds of flora and fauna that must be preserved, the most popular of which is the elephant. The problem faced by the Way Kambas National Park Center is that it does not yet have optimal technology and does not yet have a clear plan in developing its technological infrastructure so that the provision of information or exchange of data regarding flora and fauna is experiencing problems and the development of natural sustainability is only based on the needs at that time. not necessarily have optimal value and benefits. Therefore it is necessary to use the right method for its development. In this study the method used is the Enterprise Architecture Planning method which is applied in the form of a Blueprint. This blueprint can be used to support the policy strategies taken by the management in taking steps to develop natural sustainability related to information and technology. The purpose of this study is to analyze threats or causes that can damage the natural sustainability of Way Kambas National Park, analyze data, architecture and technology used in Way Kambas National Park management and to develop the natural preservation of Way Kambas National Park by using better technology so that sustainability nature can be well preserved without overriding the tourist attraction. The result of this research is to produce an information architecture picture (blueprint) both from data architecture, application and technology which is expected to be used as a basis for the development of information systems in Way Kambas National Park.
Implementasi Metode Weighted Product untuk Rancangan Sistem Pendukung Keputusan Pemilihan Saham Terbaik Robby Yuli Endra; Yuthsi Aprilinda; Feri Jumaidi
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.v12i2.2844

Abstract

This decision support system for selecting the best stocks in the financial sector aims to make it easier for investors to determine stocks with the best categories in terms of the fundamentals of these stocks. With a system that can select and determine healthy stock fundamentals, of course, investors can easily compare what stocks are worth investing in. This study uses the financial ratios of a stock (issuer) listed on the Indonesia Stock Exchange as a comparison which is calculated using the Wighted Product method consisting of Net Profit Margin (NPM), Return on Equity (ROE), Earning per share (Eps), Price to Earning Ratio (PER) and Debt to Equity Ratio (DER) Price Book Value (PBV). The data used in this study is secondary data from the banking financial statements for the 2021 period taken in the final quarter. Based on the research that has been done using the Wighted Product method, it can be concluded that the Wighted Product method can display and calculate stocks or alternatives with the best categories starting from the smallest to the largest values based on existing criteria. The contribution to this research is to help investors choose the best stocks with the output provided by this Decision Support System with the Weighted Product Method so as to minimize losses.
Penyelarasan Sistem Tata Kelola pada PT. MEI dengan Menggunakan Cobit 2019 Insan Kamaludin Arifin; Tukino Tukino; Fitria Nurapriani; Saepul Aripiyanto
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.v12i2.2804

Abstract

PT. MEI is a consulting company providing human resources and management of human resource functions, one of the programs implemented is the Domestic Apprenticeship program, to carry out these business processes. PT. MEI already has an information system but it is not optimal and is named (Apprenticeship Administration Information System). Therefore the use of COBIT Design Toolkit 2019 aims to help PT. MEI in aligning the governance system so that it is well mapped and ensures that IT achievements are aligned with the management and business environment in the company. This study aims to design a Governance Design based on the 2019 Cobit Design Toolkit The method used is to utilize the Cobit 2019 design factor, this study produces recommendations for the use of the priority core model and the competency level of PT. MEI The results of this study will be based on 31 core models or processes that need to be run with level 1 capabilities, two core samples or processes that need to be run with level 2 capabilities, four core models or processes that need to be run with level 3 capabilities, and two models or core competency processes that need to be implemented with competency level 4. Companies must conduct an assessment of the main point stage model According to the results of this study to ensure that business processes operate optimally. The core model evaluation phase must be done by level of importance put forward by the 2019 COBIT design factors as a follow-up to the findings of this study.
Analisis Faktor yang Memengaruhi Minat Penggunaan Learning Management System dengan Model UTAUT Mirda Azzah Abidah; Tri Lathif Mardi Suryanto; Doddy Ridwandono
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.v12i2.2795

Abstract

The use of technology and its development in the world of education helps in improving the quality of education. But the inequality of facilities in the use of inter-school technology in Indonesia remains uneven. Add to this the appearance of covid-19 at that time causes the quality of learning to be reduced because it cannot be performed effectively and efficiently.Learning management system development is a helpful solution to learning problems. SMAN 1 Gedangan building adopted the application of Learning Management System during the covid-19 pandemic. The platform used was the Google Classroom application.But the use of the platform is sustained to this day. With this in mind, researchers would like to explore what factors might influence interest in the use of learning management system. In addition, researchers would like to examine the effects of Learning Management System's continued use. The model in this research is using UTAUT (Unified Theory of Acceptance and Use of Technology). Sampling retrieval using Stratified Random Sampling techniques. The data collection technique involves the distribution of questionnaires through Google form and distribution done in person so that researchers can see for themselves. The respondents in this study numbered 279 students from XI and XII classes. Based on analysis obtained that Perfomance Expectancy, Effort Expectancy, Social Influence significantly affect the Behavior Intention. Apart from these, notices and Facilitating Condition also generate significant results regarding the use of behavior. This means that more and more users are willing to use learning management systems and will be affected by future use of the services and impact on both academic value and the quality of learning.
Prediksi Predikat Kelulusan Mahasiswa Menggunakan Naive Bayes dan Decision Tree pada Universitas XYZ Agung Wibowo; Abdul Rohman
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.v12i2.2810

Abstract

The success of universities in managing learning standards can be seen from the number of students who can graduate with high predicates and on time. The graduation predicate of a student is influenced by several factors. This study aims to find out the profile of students who graduated with a set predicate and what are the factors that influence it. The method used in this study is the Cross Industry Standard Process for Data Mining CRISP-DM by utilizing the Naïve Bayes algritma in looking for graduate predicate patterns and Decision Tree in looking for causative factors. In the calculations using the NBC algorithm it was found that the profiles of students who passed the predicate were less satisfactory, satisfactory, very satisfactory and with praise . In the Desicion Tree calculation, the highest gain value is obtained at the attributes of IPK4, IPS5 and IPK5. The factors that most influence graduation are the cumulative achievement index in semesters 4 and 5 and the achievement index in semester 5. The pattern of graduating with predicate can be known from the second year of the incoming student to the third year. This research needs to be developed again by increasing the number of attributes and data, and it is necessary to create a system for determining student graduation predicates from the patterns that have been produced in order to help universities to improve the quality of student graduation in each period.
Perbandingan Perbedaan Postur Tubuh Penari pada Pengenalan Gerakan Tari Sigeh Penguten Menggunkan Hidden Markov Model Yuthsi Aprilinda; Destri Silvira Ocha Eryani; Maria Shusanti Febrianti; Fenty Ariani; Freddy Nur Affandi
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.v12i2.2734

Abstract

The Sigeh Penguten dance is a dance originating from Lampung where the Sigeh Penguten dance is often called the worship dance. Traditional dance is one of the heritages of Indonesia culture. This Sigeh Penguten Dance research aims to get comparison results from the data training that has been carried out and to get the desired results in accordance with the data testing that has been carried out. With the advancement of technology, a system is needed to determine the comparison results of training data and a learning system is needed to conduct test data. Where MongoDB is used as a Database to store large files with a better level of security. The training data will be automatically saved to mongoDB in the form of a CSV file. Researchers used 3 phrases, namely Ngerujung, Cockfighting, and Rejecting Cliffs. The system will implement by using a Kinect sensor to detect motion in dance. To get the results, the dancer will stand in front of the Kinet sensor.
Analisis Sentimen Vaksinasi Booster Covid-19 pada Platform Twitter Menggunakan Metode Naïve Bayes Dessy Tri Anggraeni
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.v12i2.2812

Abstract

Since the end of 2019, the Covid-19 virus hit the whole world, including in Indonesia. One of the efforts to deal with the Covid-19 virus is vaccination. In Indonesia, the government requires people to vaccinate 3 times, that are  First Vaccination, Second Vaccination, and Booster Vaccination. The public's response to the booster vaccine are varies. This study aims to reveal public sentiment towards booster vaccine activities. The research was conducted by collecting tweet data from the Twitter platform. The research was conducted by collecting data tweets from Twitter. The method used is the Naïve Bayes Classifier because the method is simple, the process is fast, and it has a fairly high level of confidence. In this method, public sentiment is divided into three, that are positive, neutral, and negative. The results showed that most people responded positively to this booster vaccine activity with a value of 56.8%, neutral as much as 39.9%, and negative as much as 3.3% with an accuracy rate of 86%.

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