Garuda - Garba Rujukan Digital

Impact Of Technology And Information After A Period Of Pademi For Education And Health In Indonesia Aulia Hervi Anggraini; Haura Karlina; Ratna Utami Wijayanti; Wahyu Wismanto Hadi
International Journal of Health and Pharmaceutical (IJHP) Vol. 3 No. 1 (2022): February 2023
Publisher : CV. Inara

Technology has also influenced various sectors, an example of technological development is the emergence of application software that makes it easier for companies.But not only that, one type of form of technology that is growing rapidly in the era of pademi is information and Communication Technology in the field of Education. With the existence of social media, the younger generation takes advantage of this to take part and influence the community by showing their intelligence to set an example to the community through social media. One of the things that need to be considered in creating a competitive advantage for culinary, fashion, music, tourism industry players in the pademi era is Database Building and Management, namely the application of a platform that includes WhatsApp Business and email lists as a data container for potential repeat purchases by consumers. Since the pandemic conditions, consumers prefer to buy food, clothing, household items dal other delivery rather than come on the spot. Adaptation for behavior towards the new normal by developing strategies such as social distancing, health consider, cashless, less contact must also be implemented by existing businesses. In the context of business, technology can provide changes so as to create a new point of view in business known as digital marketing or internet marketing that utilizes the internet as a market medium. Conventional businesses are more concerned with purchases made by consumers. However, with a circular business model, how consumers can obtain goods and services is more important. Conventional business success focuses more on the material benefits gained from the sale of goods or services. They are result oriented. However, circular businesses are more concerned with how they can create a balance between environmental, social, and profit aspects.

Analysis Of Factors Affecting The Acceptance Of Hospital Information System Using Utaut Method In Budi Kemuliaan Hospital Batam Year 2021 Lenny Simatupang; Irma Solvia; Karmila Kaban; Sri Lestari Ramadhani Nasution
International Journal of Health and Pharmaceutical (IJHP) Vol. 3 No. 1 (2022): February 2023
Publisher : CV. Inara

The acceptance of the hospital information system using the UTAUT method at the Budi Kemuliaan Hospital Batam in 2021 is still a complaint and the computer-based SIMRS is not running optimally. The acceptance of the hospital information system using the UTAUT method is related to individual characteristics, performance expectations, business expectations, social and facilities. This study aims to determine the effect of receiving hospital information systems with the UTAUT method at Budi Kemuliaan Hospital Batam. This type of quantitative research with correlational techniques. The population in this study were users of the SIMRS application at Budi Kemuliaan Hospital Batam and a sample of 120 people. The collection of data with primary and secondary data and the data were analyzed by Multiple Regression test. The results showed a positive and significant influence between Hospital Information System Acceptance (individual characteristics, performance expectations/performance expectations, business expectations/business expectations, social influences/social influences, and facilitating conditions/facilitating conditions) on usage behavior/behavior. implementing SIMRS with the UTAUT method at Budi Kemuliaan Hospital Batam and it is recommended that the implementation of SIMRS then need to pay attention to the ease of users in using SIMRS and developers from SIMRS and the hospital need to work together in developing to create a SIMRS with business processes and needs the one in the hospital.

Socialization of Da'wah through Technology Media Information with the Theme of Understanding Muslim Attitudes Facing the Covid-19 Pandemic Disaster Irfan Santosa; Ghusni Darodjatun
ASEAN Journal of Empowering Community Vol. 1 No. 2 (2021): ASEAN Journal of Empowering Community
Publisher : Universitas Pancasakti Tegal

The covid-19 virus pandemic in Indonesia has been taking place since February 2020, which almost knocked out all sectors of the economy, industry, trade and human mentality. Data as of April 13, 2020 shows that the number of people in Indonesia contaminated with the covid-19 virus totals 4557 people, with the number of deaths of 399 people and patients cured reached 380 people (Source detik.com). From this data, the Government of Indonesia enacts and urges all people to stay at home or Stay at Home. With the program to stay at home, many people do all activities from home from work, study, worship done at home together with family. The implementation of staying at home from March 13, 2020 until now makes some people feel saturated, can't wait to stay at home so that many people are not disciplined in doing this program and still do regular activities in the midst of the covid-19 pandemic. The impact of impatience, indiscipline and disorderly behavior is what results in the number of contaminated sufferers every day is increasing. Therefore, it is necessary to socialize about the understanding that should be done especially by every Muslim in the face of the covid-19 pandemic disaster. The method used is to make a video of da'wah containing a short message about patience in the face of disasters that last approximately 3 minutes and upload it online then share the online link through the group in Whatsapp group. The hope of this devotion program is that the community, especially Muslims, will be encouraged and self-conscious to be able to stay at home until the End of the covid-19 pandemic. The results of this program after the video message was uploaded through Youtube then disseminated through Whatsapp group and watched approximately 150 times there are 25 people responded by sending a comment message to this video and 25 people will try to remain patient in the face of the test and implement government programs to stay home until the pandemic outbreak subsides.

The Role of Social Media in Promotion of Micro, Small and Medium Enterprises (MSMEs) and Its Implications Law Number 11 of 2008 Concerning Information and Electronic Transactions (UUITE) Mas Try Washiludin Singapraja Manggala; Rendri Maulana; Denny Trias Saputra; Irma Rachmawati; Deden Sumantry; Murdiati Trisnaningsih
International Journal of Latin Notary Vol 2 No 1 (2021): Internasional Journal of Latin Notary, Vol. 2, No. 1, September 2021
Publisher : Magister Kenotariatan Universitas Pasundan

The application of telematics applications (telecommunication, media and informatics) is one of the keys to support efforts to increase the competitiveness of the national industry. Currently, telematics is very easily accessible by entrepreneurs to improve their business competitiveness, including Micro, Small and Medium Enterprises (MSMEs). MSMEs use telematics services in the form of social media as a marketing tool to inform and offer products/services to consumers. MSME entrepreneurs choose social media for marketing to consumers online because this media is very easily accessible to both MSME actors and the general public. The purpose of this study is to examine the benefits of social media for MSME entrepreneurs and what are the implications for Law Number 11 of 2008 concerning Information and Electronic Transactions (UUITE). The research method uses a qualitative method, namely a descriptive approach to secondary data derived from literature, research journals, books, and websites that access the latest data information related to the use of social media and descriptive by utilizing secondary data derived from various literatures such as books, journals/articles and homepages to access the latest data and information related to the impact of social media in improving MSME business and its relation to the ITE Law. From the results of this study, it can be concluded that the use of social media is proven to increase sales of MSME products/goods and services and the ITE Law basically provides protection, security and data confidentiality during e-commerce transactions while also emphasizing responsibility to entrepreneurs as a result of event of failure in the function (malfunction) in the e-commerce system.

The Semantic Analysis of Twitter Data with Generative Lexicon for the Information of Traffic Congestion
Journal of Advances in Information Systems and Technology Vol 1 No 1 (2019): October
Publisher : Universitas Negeri Semarang

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This research is closely related to the semantic analysis of Twitter Data with Generative Lexicon for getting information of traffic congestion. This research aims to generate the semantic analysis with Generative Lexicon to obtain structured information about traffic congestion conditions. Semantic analysis is conducted through several stages, namely data acquisition, text segmentation, detection of types and meanings of the words, and (4) semantic analysis. The results of this research, the system can determine the congestion conditions based on the semantic analysis. The system also separates the data of place and time of occurrence of tweets on Twitter.

Application of Discretization and Information Gain on NaÃ¯ve Bayes to Diagnose Heart Disease
Journal of Advances in Information Systems and Technology Vol 1 No 1 (2019): October
Publisher : Universitas Negeri Semarang

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In the health sector, there is a lot of data that can be processed and utilized. Current technology can be used to process data and produce predictions or diagnosis of disease. To diagnose the disease, it is necessary to have a patient medical record or health data which have collected in the past. In the process of processing the data requires a method that is called data mining. In data mining, some methods can be used for example classification. One of the algorithms found in the classification method is the NaÃ¯ve Bayes algorithm. NaÃ¯ve Bayes is an algorithm of classification method that is often used. The improvement of the accuracy of NaÃ¯ve Bayes algorithms can be done by using discretization and information gain. The purpose of this study was to determine the application of discretization and information gain in heart disease datasets. The data used in this study are datasets of heart disease obtained from the UCI repository of machine learning consisting of 270 instances and 14 features. In this study, the mining process uses k-fold cross-validation with a value of k = 10. The results of the application of the NaÃ¯ve Bayes algorithm classification obtained an accuracy of 85.1852% while the accuracy of the NaÃ¯ve Bayes algorithm with discretization and information gain accuracy increased to 85.5556%. The enhancement of accuracy is obtained from the removal of scales performed using information gain and discretization techniques on NaÃ¯ve Bayes algorithms with an increase of 0.3704% compared with the accuracy of the NaÃ¯ve Bayes algorithm.

Application of the NaÃ¯ve Bayes Classifier Algorithm using N-Gram and Information Gain to Improve the Accuracy of Restaurant Review Sentiment Analysis
Journal of Advances in Information Systems and Technology Vol 2 No 2 (2020): October
Publisher : Universitas Negeri Semarang

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A consumer's review is an essential aspect for influencing others in determining decisions. The process of identifying positive or negative reviews can be conducted through sentiment analysis. One of the popular techniques in the sentiment analysis is the NaÃ¯ve Bayes Classifier (NBC) algorithm, which has optimal performance. The purpose of this study was to improve the accuracy of the classifier in the analysis of restaurant review sentiments by applying N-Gram as feature extraction and Information Gain as a feature selection. N-Gram is used to produce new features that are more varied, while information gain functions to select relevant features with high weights. The dataset used in this study is the sentiment labeled dataset from UCI machine learning. The results of applying the NBC have an accuracy of 82.5%. The research results revealed that the NaÃ¯ve Bayes Classifier's accuracy by using N-Gram and information gain of 86%. The application of N-Gram and information gain in the NBC algorithm can be concluded that it has succeeded in improving the classification accuracy of the restaurant review sentiment analysis with an increase in accuracy of 3.5%.

ACCEPTANCE ANALYSIS OF TECHNOLOGY-BASED PERSONNEL MANAGEMENT INFORMATION SYSTEMS (SIMPATIK) IN SUPPORTING THE IMPLEMENTATION OF E-GOVERNMENT IN THE SEMARANG CITY MANPOWER SERVICE
Journal of Advances in Information Systems and Technology Vol 3 No 2 (2021): October
Publisher : Universitas Negeri Semarang

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In this digital era, information technology has an important role for institutions, companies, communities, and governments. In carrying out the main tasks of the Semarang City Manpower Service, one of them is evaluating employee performance. In assessing the performance of the Semarang City Manpower Service employees using SIMPATIK which was developed by the Semarang City BKPP which was launched in 2018. Where the implementation of the new system needs to be evaluated further. This is due to the failure to implement e-government services, not because of the quality and capacity of the system, but because of the low user acceptance of these services. Thus, it is necessary to analyse the level of acceptance in using SIMPATIK services at the Semarang City Manpower Service whether it can be evaluated further. So that SIMPATIK can still exist to be used for various kinds of services contained in the application by ASN at the Semarang City Manpower Service. The method applied to data collection is the interview and questionnaire method. While the method applied to evaluate SIMPATIK is the Technology Acceptance Model (TAM) by applying four research variables, namely perceived usefulness (PU), perceived ease of use (PEOU), attitude toward using (ATU), and behavioural intentions (BI). To examine the data adopted the method of Structural Equation Model-partial Least Square (SEMPLS). The conclusion reached in this study is that all hypotheses developed in this study were accepted, except for PU on BI rejected because the value of T-Statistics (0.846) < T-Table (1.96) and P-Values were more than 0.05 with a value of 0.398 .

Cash Expenditure Accounting Information System Operational Cost Driver At the Fleet Department of PT Cipta Krida Bahari Banjarmasin Isnawati; Hikmahwati; Nailiya Nikmah
Indonesian Journal of Applied Accounting and Finance Vol. 2 No. 1 (2022): June
Publisher : P3M Politeknik Negeri Banjarmasin

This study aims to describe the driver's operating cash disbursement accounting information system at the Fleet Section of PT Cipta Krida Bahari Banjarmasin. This study uses a qualitative descriptive approach related to the driver's operating cash disbursement accounting information system. The results showed that the Accounting Information System for Cash Expenditures for Driver Operational Costs at the Fleet Section of PT Cipta Krida Bahari Banjarmasin has interrelated functions, namely the commercial sales function, operation function, driver function, fleet admin function, fleet leader function, and manager function, and financial functions. Procedures for disbursing driver operational costs include procedures for ordering goods by customers, procedures for submitting travel costs, procedures for disbursing or transferring travel costs, and procedures for recording travel costs. The documents used in the cash disbursement system for the driver's operational costs are travel documents, PUO, DA, manifest, SIJK, BBM notes, manifest, and TCA. The records used are FAST system, Cash Advance application, TCA website, MCM system, Middleware system, Ramco system, and enterprise system.

Map of Earthquake Prone Areas Using Geographic Information Systems(Peta Daerah Rawan Gempa Menggunakan Sistem Informasi Geografis) Rafki Imani; Heri Yanto
Jurnal KomtekInfo Vol. 6 No. 2 (2019): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

This study aims to map the earthquake prone areas, and identify the nearest alternative route for evacuation of earthquake victims in Singkarak District, Solok Regency, West Sumatra. This research method was conducted with descriptive methods that analyzed by GIS (Geographic Information System) based on intensity scale (MMI). The results of this study stated that 90% of villages in Singkarak District had a high earthquake intensity, with an acceleration of the land surface of more than 0.34 g. For evacuation areas can be directed away from areas with steep cliffs and areas close to high buildings and should be directed in the direction close to Lake Singkarak, because the area around this has a low earthquake risk with earthquake acceleration of only 0.1 g.

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