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Journal of Artificial Intelligence and Digital Business

RIGGS
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Published by Universitas Pahlawan Tuanku Tambusai

ISSN : 29639298 EISSN : 2963914X DOI : https://doi.org/10.31004/riggs.v1i1

Core Subject : Economy, Science, Engineering,

Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering

Journal of Artificial Intelligence and Digital Business (RIGGS) is published by the Department of Digital Business, Universitas Pahlawan Tuanku Tambusai in helping academics, researchers, and practitioners to disseminate their research results. RIGGS is a blind peer-reviewed journal dedicated to publishing quality research results in the fields of business and engineering. All publications in the RIGGS Journal are open access which allows articles to be available online for free without any subscription. RIGGS is a national journal with e-ISSN: 2963-914X, and is free of charge in the submission process and review process. Journal of Artificial Intelligence and Digital Business (RIGGS) publishes articles periodically twice a year, in January and July.

Arjuna Subject : Umum - Umum

Articles 21 Documents

1 2 3

Hyper Smart Cart As Hypermart Business Process Improvement In Minimizing In-Efficiency At The Cashier Muhammad Muharrom Al Haromainy; Aviolla Terza Damaliana; Abdul Rezha Efrat Najaf; Reisa Permatasari
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 1 No. 1 (2022)
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

The world today has a rapidly growing human population whose daily needs are certainly increasing. Supermarket is a place to fulfill daily needs. When going to the supermarket, we have to spend a lot of time both shopping and also queuing at the cashier. This turns out to be a problem for customers because it can take up customers' time which is also experienced by one of the largest supermarkets, namely Hypermart. Not only a problem for customers, but it can also create a threat to Hypermart companies. However, with advances in technology and information systems, the world is growing to adapt to current conditions, namely by improvising. The improvisation carried out in this research is the payment transaction business process at Hypermart, namely by implementing the Self-CheckOut system by replacing the old trolley with a "Hyper Smart Cart" as an improvisation which will certainly answer all existing problems.

N-Gram Feature for Comparison of Machine Learning Methods on Sentiment in Financial News Headlines Arif Mudi Priyatno; Fahmi Iqbal Firmananda
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 1 No. 1 (2022)
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Sentiment analysis is currently widely used in natural language processing or information retrieval applications. Sentiment analysis analysis can provide information related to outstanding financial news headlines and provide input to the company. Positive sentiment will also have a good impact on the development of the company, but negative sentiment will damage the company's reputation. This will affect the company's development. This study compares machine learning methods on financial news headlines with n-gram feature extraction. The purpose of this study was to obtain the best method for classifying the headline sentiment of the company's financial news. The machine learning methods compared are Multinomial Naïve Bayes, Logistic Regression, Support Vector Machine, multi-layer perceptron (MLP), Stochastic Gradient Descent, and Decision Trees. The results show that the best method is logistic regression with a percentage of f1-measure, precision, and recal of 73.94 %, 73.94 %, and 74.63 %. This shows that the n-gram and machine learning features have successfully carried out sentiment analysis.

Dice Similarity and TF-IDF for New Student Admissions Chatbot Muhammad Riko Anshori Prasetya; Arif Mudi Priyatno
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 1 No. 1 (2022)
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

CS is one of the most important functions of any client-related organization, whether a business or a school (customer service). Notably from the committee responsible for student selection, CS, on the other hand, has a very limited capacity to be handled by humans, which can reduce university satisfaction. Therefore, we require technological assistance, which in this case takes the form of an AI-based chatbot. The objective of this study is to design and develop a chatbot system utilizing NLP (natural language processing) to aid the CS of the new student admissions committee at Pahlawan Tuanku Tambusai University in answering questions from prospective new students. The employed method is dice similarity weighted by TFIDF. The results of the conducted tests indicated that the recall rate was 100 percent and the precision reached 76.92 percent. The evaluation results indicate that the chatbot can effectively respond to questions from prospective students.

The Effect of Service Quality on Shopee Customer Satisfaction on Students of the Technology and Business Master Institute Pekanbaru mohd winario; Muhammad Mardiansyah
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 1 No. 1 (2022)
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

This study aims to determine and analyze the effect of service quality on customer satisfaction. The analysis in this study uses the independent variable of service quality. The dependent variable is customer satisfaction. The sample of this research is the students of the Master's Institute. The sample is carried out using a non-probability sampling technique, which is sampling that does not provide equal opportunities or opportunities for each member of the population to be selected as a sample. Data collection techniques were carried out by means of questionnaires and interviews. The total population at the Master's Institute is 3004 and the sample obtained is 97 people. The results obtained that the t value is known to have a t-count of 7.920 > t-table 0.199, so it can be concluded that the service quality variable (X) has a significant effect on the consumer satisfaction variable (Y). The results obtained that the R2 value of the coefficient of determination is found in the Adjusted R Square of 0.391. This means that the ability of the independent variable to explain the dependent variable is 39.1%, the remaining 61.9% is explained by other variables not discussed in this study.

Classification Of Tomato Maturity Levels Based on RGB And HSV Colors Using KNN Algorithm Lidya Ningsih; Putri Cholidhazia
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 1 No. 1 (2022)
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Tomatoes (Lycopersiconeculentum Mill) are vegetables that are widely produced in tropical and subtropic areas. According to (Harllee) tomatoes are grouped into 6 levels of maturity, namely green, breakers, turning, pink, light red, and red. One way that can be used to classify the level of maturity of tomatoes in the field of informatics is to utilize digital image processing techniques. This study classifies the maturity of tomatoes using K-Nearest Neighbor (KNN) based on the Red Green Blue and Hue Saturation Value color features. The KNN algorithm was chosen as a classification algorithm because KNN is quite simple with good accuracy based on the minimum distance using Euclidean Distance. The research conducted received the highest accuracy result of 91.25% at the value of K = 7 with the test data 80. This shows that the KNN algorithm successfully classified the maturity of tomatoes by utilizing the color image of RGB and HSV.

The Effectiveness Of Use Of E-Learning In Entrepreneurship Courses In Private Vocational School, Pematangsiantar City Preparation mhd Ramadhan
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 1 No. 2 (2023)
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Entrepreneurship learning is also an alternative for students to provide their own attitude and preparation so that they can produce their own jobs. Based on the study of E-learning and problems in the entrepreneurship subject of the Preparatory Private Vocational School, this study aims to determine the effectiveness of the use of E-learning in the entrepreneurship subject of the Preparatory Private Vocational School to improve the learning outcomes of SMK students. This research is expected to be a reference source for teachers and education practitioners to use E-learning media to improve student learning outcomes. The results of this study where XA 0.830, XB 0.865, XC 0.803, and XD 0.919. The results show that the research questionnaire instrument is relevant and the instrument items are declared valid. Analysis of reliability test data is 0.875, which means that greater than 0.70 is said to be reliable (0.875>0.70). It is known that Asymp Sig (2-Tailed) on Shapiro-Wilk XA 0.001, XB 0.017, XC 0.014, and XD 0.003. so that it can be stated that there are two items that are normally distributed, namely XB 0.017 > 0.05, XC 0.014 > 0.05 and there are two items that are not normally distributed, namely XA 0.001 < 0.05, XD 0.003 < 0.05. The e-Learning platform used in this study is the Model Platform. e-learning utilizes distance learning, computer technology and internet networks, where this learning system uses information and communication technology so that students no longer need to be in the classroom to listen.

Implementation of Encrypt National ID Card in Sinovi Application Use Waterfall Methodology Teguh Rijanandi; Ayu Silvia; Bintang Abillah Safna; Rima Dias Ramadhani
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 1 No. 2 (2023)
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

In this era of increasingly rapid technology, the development of information systems is also growing rapidly, because information systems provide what users need. Information is a very valuable thing. When information or data falls into irresponsible hands, it will bring disaster to the owner, and there have been many cases of data leaks in the past that have harmed several parties. There are various ways to protect data or information. Therefore, data security techniques are needed, the message security process is very diverse, including using cryptography. Cryptography aims to scramble messages so that they are difficult to read by unauthorized parties. In this study, we will use the AES 256 encryption method with the waterfall research method to secure KTP images on the Sinovi application, Sinovi is a copyright registration application at the Telkom Institute of Technology Purwokerto. The results of this study are the AES method will convert data or information in the form of plain text into cipher-text then stored in a file to replace the image file so that in this way the image cannot be viewed directly because it must pass the decryption technique first and the research data will be presented. in a table of blackbox testing. It is hoped that a security system like this can protect data from unauthorized parties and further research is expected to have research that tests AES 256 with different methods. https://github.com/teguh02/T-Encryption

The Effect of Ownership Structure on Firm Value With Debt Policy As Intervening Variable (Study on LQ45 Companies on the Indonesian Stock Exchange) ZULFAN EPENDI
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 1 No. 1 (2022)
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

This study aims to determine and analyze the effect of ownership structure and debt policy on firm value. Effect of ownership structure on firm value with debt policy as an intervening variable. The population in this study were LQ45 companies in the form of financial reports downloaded from www.idx.co.id, namely 45 companies. then the companies studied were lq45 companies as many as 27 companies. The analytical method used is path analysis. The results of this study indicate that ownership structure affects firm value. Furthermore, ownership structure influences firm value with debt policy as an intervening variable. ownership structure does not affect debt policy. Debt policy does not affect the value of the company.

Utilization of Mangosteen Skin Into A Halal Drink and Thayyib As A Business Opportunity In The Form Of Health Coffee Powder nuraini nuraini; mala vinuzia
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 2 No. 1 (2023)
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

This study aims to educate the public so that they can use mangosteen peel waste that has been consumed, so that it is not turned into useless waste, but can be used as a selling point that is beneficial for health and to help the creative economy for residents and SMEs in the hamlet. Ireng Daye, Jatisela Village, Gunungsari District, West Lombok Regency. The method used in this study was direct observation, with a validation test of the efficacy of mangosteen peel coffee, the type of qualitative research, while the data sources used were primary and secondary data, namely finding and collecting various information and records, books, journals that related to the object of research. The problem faced is the local community's lack of awareness of the benefits of mangosteen peel so that the mangosteen peel waste is not responded to properly, due to the lack of human resources and knowledge of the benefits of mangosteen peel. The results showed that instant KBM powder contained alpha-mangostin levels of 0.59 mg/g, anthocyanins 1.13 mg/g, and phenolic levels of 8.49 mg/g per unit weight of dry sample. the conclusion of this study. In order to be used as a herbal medicinal product is mangosteen rind. The most popular benefit is to overcome heart disease, cancer and other degenerative diseases. In order to be useful as a business opportunity by various ways of packaging as original coffee powder drinks.

Cooling System in Machine Operation at Gas Engine Power Plant at PT Multidaya Prima Elektrindo Syahrul Ghufron; Soni Prayogi
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 1 No. 2 (2023)
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

In this work, it is reported that the development of technology makes the need for electrical energy in recent years has increased very rapid. PT Multidaya Prima Elektrindo is a company engaged in power generation using gas energy sources, namely the Gas Engine Power Plant. with a capacity of 2x6 MW. The energy produced by this plant will later be distributed to consumers through the State Electricity Company. Along with its use, generating machines continuously work for long periods of time. If this continues, there will be overheating of the engine which can cause a trip to the engine, to prevent a trip on the engine, monitoring the cooling system on the engine can prevent overheating which can cause a trip on the engine. By using a cooling system, the performance of the engine at the generator in generating energy is optimal. The processed data is weather data around the PLTG location and characteristic data from the gas turbine. The results of data processing are taken into consideration in choosing a cooling system. Other processing data in the form of cooling load is then used to design the components of the cooling system that will be applied. The results of the study show that reducing the outside air temperature entering the gas turbine compressor to 22 °C, can increase the output power of the PLTG gas turbine by more than 10 MW.

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Arif Mudi Priyatno

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riggs@universitaspahlawan.ac.id

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Department of Digital Business, Universitas Pahlawan Tuanku Tambusai Jl. Tuanku Tambusai No.23, Bangkinang, Kec. Bangkinang, Kabupaten Kampar, Riau 28412

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Abstract

Abstract

Abstract

Abstract

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Abstract

Abstract

Abstract

Abstract

Abstract

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Arif Mudi Priyatno

Contact Email arifmudi11@gmail.com

Phone +6282390449323

Journal Mail Official riggs@universitaspahlawan.ac.id

Editorial Address Department of Digital Business, Universitas Pahlawan Tuanku Tambusai Jl. Tuanku Tambusai No.23, Bangkinang, Kec. Bangkinang, Kabupaten Kampar, Riau 28412

Location Kab. kampar, Riau INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Arif Mudi Priyatno

Contact Email
arifmudi11@gmail.com

Phone
+6282390449323

Journal Mail Official
riggs@universitaspahlawan.ac.id

Editorial Address
Department of Digital Business, Universitas Pahlawan Tuanku Tambusai Jl. Tuanku Tambusai No.23, Bangkinang, Kec. Bangkinang, Kabupaten Kampar, Riau 28412

Location
Kab. kampar,

Riau

INDONESIA