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Arif Mudi Priyatno
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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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Journal of Artificial Intelligence and Digital Business
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 5 Documents
 1 
Search results for , issue "Vol. 2 No. 1 (2023)" : 5 Documents clear
Utilization of Mangosteen Skin Into A Halal Drink and Thayyib As A Business Opportunity In The Form Of Health Coffee Powder nuraini, nuraini; vinuzia, mala
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 2 No. 1 (2023)
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (624.713 KB) | DOI: 10.31004/riggs.v2i1.17

Abstract

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.
The Pricing Evaluation Using The Cost-Plus Pricing Method at CV Macarindo Berkah Group in Jember District Tiara, Tiara; Maulidia, Yulinar; Kantun, Sri
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 2 No. 1 (2023)
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v2i1.52

Abstract

This study aims to evaluate the determination of the selling price using the cost-plus pricing method on CV Macarindo Berkah Group with existing standards. This research is evaluative and the data collection method used in this study is a document. The data analysis method used in this study is evaluative analysis. The components assessed in this study are the completeness of cost classification based on the main function in the company, based on the relationship with something being financed, based on the relationship with the level of activity, and the completeness of the selling price stages using the cost-plus pricing method. Based on the 14 components evaluated, 9 components comply with the standard. Components that have not been carried out are the classification of costs based on their relationship to something being financed, the absence of ROI (Return Of Investment), cost classification, and income statement. The suitability level of setting the selling price using the cost-plus pricing method at CV Macarindo Berkah Group shows that it is following existing standards with a conformity level of 64.28%. The suitability of setting the selling price seen from the percentage results shows the criteria of "Appropriate". A discrepancy of 35.72% can be replaced with a similar function.
Driver Predicting Behavior Based on Accelerometer and Gyroscope Sensors with K-Means Algorithm Method Sitorus, Michael; Melisa, Melisa; Herninda, Desty
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 2 No. 1 (2023)
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v2i1.29

Abstract

The transportation with an increasing population level in Indonesia will also affect the smoothness of traffic. However, with the existence of transportation that is owned by someone, it is often misused in driving. Aggressive driving behavior is a major factor in traffic accidents. As reported AAA Foundation for Traffic Safety, 106,727 dangerous accidents – 55.7 percent of the over past four year period involved drivers engaging in one or more acts of aggressive driving. Therefore, to predict driver behavior, the K-Means algorithm used the Orange Application. Using the driver behavior dataset that has been recorded with Accelerometer and Gyroscope Sensor-based applications, the results obtained where the k value is the number of cluster 1 there are 814 items, cluster 2 has 997 items, cluster 3 has 1273 items. From this test, it was found that proportion of predicted driver behavior with Aggressive qualifications was 96.4%, Normal was 92.2% and from driver behavior with Low qualifications was 74.3%. The accuracy rate of research using the K-Means algorithm to determine predictions is 0.861 or 86.1%. The results of predictions can help prevent accidents or other risks that will occur in the future.  
Efficiency of Working Capital Use at PT Industri Jamu Dan Farmasi Sido Muncul, Tbk in 2019-2021 Tyana, Bella Eka; Kantun, Sri; Tiara, Tiara
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 2 No. 1 (2023)
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v2i1.97

Abstract

This study aims to determine the efficiency of working capital use at PT Industri Jamu dan Farmasi Sido Muncul, Tbk in 2019-2021. This research uses a descriptive method with a quantitative approach. Data collection by using secondary data document methods. The data analysis method used is by calculating the ratio of working capital turnover, receivables turnover and inventory turnover. The results showed that the efficiency of using working capital of PT Industri Jamu dan Farmasi Sido Muncul during 2019-2021 in terms of the ratio of working capital turnover, receivables and inventory was included in the less efficient criteria. The working capital turnover ratio shows that the turnover frequency is less than the efficiency standard of industrial enterprises, which is 6 times the turnover. The receivables turnover ratio shows an average frequency below the efficiency standard of 15 times and the average life of receivables can be collected much longer than the standard life of receivables which is 25 days, while inventory turnover shows a turnover frequency result of less than the standard efficiency of 20 times with the average life of inventory can be sold much longer than the standard inventory life of 19 days.
The Influence of Price, Location and Word Of Mouth on Purchasing Decisions at Green Resto Ananda, Anggita Putri; Sari, Anita Kartika; Fatchurrohman, Mochamad
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 2 No. 1 (2023)
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v2i1.115

Abstract

The rise of marketing activities in the MSME (Micro, Small and Medium Enterprises) sector is something that is familiar even though it is inseparable from competition in the business world. Consumer purchasing decisions are important for SMEs, one of which is the Green Resto restaurant in Surabaya. This study measures the extent to which Purchase Decisions can be measured through the variables Price, Location, and Word of Mouth. This research is a quantitative research using multiple linear regression data analysis techniques assisted by the SPSS 25 program. The data from this study were taken from the results of questionnaires distributed to 97 respondents who are customers of Green Resto. The results showed that Price, Location and Word of Mouth had a partial or simultaneous and significant effect on purchasing decisions at Green Resto. Where the price has a partial and significant effect on purchasing decisions at Green Resto. Location has a partial and significant effect on purchasing decisions at Green Resto. Word of Mouth has a partial and significant effect on purchasing decisions at Green Resto. And as a whole it can be said that Price, Location and Word of Mouth have a simultaneous and significant effect on purchasing decisions at Green Resto.  

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