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All Journal Jurnal Media Infotama Jurnal Sains dan Teknologi REKAYASA J-MACC : Journal of Management and Accounting JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Komputer, Informasi dan Teknologi Jurnal Media Computer Science Jurnal Komputer Indonesia
Yupianti, Yupianti
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Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Physics Social Sciences Other

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Journal : Jurnal Media Computer Science

 1 
The Use Of Smart Method In Supporting Contract Employee Selection Decisions To Become Permanent Employees At PT. Agro Muko Bunga Tanjung Estate Jutriansyah, Dodon; Yupianti, Yupianti; Elfianty, Lena
Jurnal Media Computer Science Vol 4 No 1 (2025): Januari
Publisher : Fakultas Ilmu Komputer Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v4i1.7534

Abstract

Pt. Agro Muko Bunga Tanjung Estate is a private company engaged in oil palm plantations. PT. Agro Muko Bunga Tanjung Estate has contract employees who are selected every year to become permanent employees. The process of selecting contract employees to become permanent employees is still not effective and efficient, this will result in doubt in decision making which allows for errors to occur and is less precise. The SMART method is a multi-criteria decision-making technique that is effective in dealing with problems at PT. Agro Muko Bunga Tanjung Estate. The use of the SMART method in the selection of contract employees to become permanent employees at PT. Agro Muko Bunga Tanjung Estate can simplify the selection process based on 4 assessment criteria, namely Length of Work Contract, Education, Attendance, and Responsibilitylity. The final result of this research is a decision support system for the selection of contract employees to become permanent employees that is in accordance with expectations and the system or application can provide information on the results of the selection of contract employees through the rank after the year of research.
An Expert System To Diagnose Bronchitis Disease Using Certainty Factor Method Septiyadi, Muhammad Harri; Yupianti, Yupianti; Zulfiandry, Ricky
Jurnal Media Computer Science Vol 2 No 1 (2023): Januari
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v2i1.3346

Abstract

This study aims to create an expert system at Rafflesia Hospital of Bengkulu City, based on a website and using the PHP programming language, in diagnosing bronchitis using the certainty factor method, therefore the results of the diagnosis can be first aid when a user or patient suffers from bronchitis. The research method used is the certainty factor method, namely the certainty factor, thus the user or patient can choose. conditions according to the symptoms experienced from bronchitis. The program created is an expert system for diagnosing bronchitis using a website-based certainty factor method so that it can be accessed on laptops, computers, or mobile phones with the condition that it must be connected to the internet. This program can generate a percentage level of the possibility of how many percent of patients suffer from bronchitis, and this program also produces solutions to bronchitis therefore, it can be first aid when the user or patient suffers from bronchitis. Suggestions from the author are for agencies to be able to maintain and always update this expert system program, so then this system can run and be maintained properly.
Android-Based Text Message Encryption and Decryption Application Using the Advanced Encryption Standard Algorithm Putra, Riski Adi; Yupianti, Yupianti; Prasetyo R, Eko
Jurnal Media Computer Science Vol 2 No 1 (2023): Januari
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v2i1.3396

Abstract

Kaur 2 Public High School is one of the State Senior High Schools in Kaur District, Bengkulu Province. Communication between teachers or teachers and students or students and students has so far been carried out through text message applications that are already available on users' smartphones so that they exchange information. However, the information sent has not been fully implemented by security, where the message sent is the original message, and the recipient of the original message can read it immediately. This of course makes it easier for certain parties who intend to get the message. An android-based text message encryption and decryption application using the Advanced Encrytion Standard algorithm was created to help maintain security of communication between senders and recipients so that confidentiality is maintained. This application was created using Android Studio and has installed the JSON web service, so that it can be accessed by Android smartphone devices with the internet. Messages that have been sent will be stored in the MySQL database in the form of scrambled records, so it is necessary to do encryption to find out what the contents of the message are, where the Advanced Encryption Standard Algorithm is cryptography that uses symmetric keys (encryption and decryption keys must be the same). Based on the results of the tests that have been carried out, the functionality of the android-based text message encryption and decryption application at SMA Negeri 2 Kaur runs well as expected and the message sent between the recipient and the sender is kept confidential because the message is encrypted.
A Decision Support System For The Selection Of The Best Employees At CV. Adiguna By Applying The Preferences Selection Index Method Putra, Repal Kesatria; Yupianti, Yupianti; Beti, Ila Yati; Lianda, Deri
Jurnal Media Computer Science Vol 2 No 1 (2023): Januari
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v2i1.3440

Abstract

Technological Developments at this time, competition in the business world is getting tougher, to support this, companies must also improve their quality. On CV. Adiguna to increase the resources of his employees in improving the quality of his company is of course supported and influenced by the performance of employees who are competent in their field. Where in CV. Adiguna of Bengkulu City in giving awards to the best employees every year so far it is still done manually, this can certainly increase the enthusiasm of employees at work and always run a business by fulfilling several criteria set by CV Adiguna of Bengkulu City. Therefore to provide an objective assessment of employee performance, a Decision Support System is needed to select the best employees and provide rewards to employees, then to support the above, it is necessary to implement several Decision Support Systems at CV Adiguna of Bengkulu City based on the criteria that have been determined by the management of CV Adiguna of Bengkulu City. Decision support system for selecting the best employees at CV Adiguna of Bengkulu City by applying the Preferences Selection Index method is a desktop-based application that has implemented the Preferences Selection Index (PSI) method. This application can be used to assist in the process of selecting the best employees on CV Adiguna of Bengkulu City uses 5 predetermined criteria, then the assessment of these 5 criteria is processed using the Preferences Selection Index (PSI) method to produce a ranking that will be used to determine the best employee. Based on the results of the tests that have been carried out, it can be concluded that the decision support system for selecting the best employees at CV Adiguna of Bengkulu City by applying the Preferences Selection Index method is able to run well and can overcome data input errors besides that calculations are done manually with those carried out by the application producing the same output.
Implementation of Multi-Objective Optimisation Method On The Basis Of Ratio Analysis for Finalist Selection of Putra Putri Kampus Bengkulu Province Kurnianto, Ridho Rahman; Hermansyah, Edy; Yupianti, Yupianti
Jurnal Media Computer Science Vol 4 No 2 (2025): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v4i2.8340

Abstract

The Executive Board of the Campus Putra Putri Association (IPPK) of Bengkulu Province has utilised computers in the data processing process both registration data and assessment data. The implementation of the Multi-Objective Optimization Method On The Basis Of Ratio Analysis in the selection of finalists for the Putra Putri Kampus of Bengkulu Province was built using the PHP programming language with a MySQL database which can be accessed online via the link https://ppkbengkulu.online/. The implementation of the Multi-Objective Optimisation On The Basis Of Ratio Analysis method can simplify the data management process and provide information in the form of recommendations for the selection of finalists for the campus princess in Bengkulu Province. Based on tests that have been carried out using sample data from the registration of the 2024 campus princess son participants as many as 40 participants divided into 20 boys and 20 girls, the results of recommendations through the Moora Method are the best 15 boys and the best 15 girls as the Finalists of the Putra Putri Kampus Bengkulu Province. Based on the results of Black Box testing, it shows that the application functions properly and is able to recommend the best finalists for the Putra Putri Kampus Bengkulu Province Selection using the Multi-Objective Optimization On The Basis Of Ratio Analysis Method.
Application Of K-Means Method In Grouping Horticultural Commodity Production Results In The Department Of Food Crops Horticulture And Plantations Of Bengkulu Province Silola, Alun; Yupianti, Yupianti; Sudarsono, Aji
Jurnal Media Computer Science Vol 4 No 2 (2025): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v4i2.8423

Abstract

The Department of Agriculture, Food Crops, Horticulture and Plantations of Bengkulu Province is a government agency whose task is to collect data on horticultural commodities in the Bengkulu Province. In the Department of Agriculture, Food Crops, Horticulture and Plantations of Bengkulu Province, there is no specific system used to group data on horticultural commodity production results, so it is difficult to obtain information on horticultural commodities that fall into high, medium, and low production levels in Bengkulu Province. The application of the k-means method in grouping horticultural commodity production results at the Department of Food Crops, Horticulture and Plantations of Bengkulu Province can help the department obtain information on the results of grouping horticultural commodity data in Bengkulu Province, and can help determine planning programs and provide counseling to farmers in horticultural commodities, especially those in the low production group to increase their production results. Based on the data used in 2023 with 3 categories of horticultural commodities, the results of the grouping in the vegetable category cluster C1 were 3 commodities, cluster C2 was 9 commodities, cluster C3 was 13 commodities, in the fruit category cluster C1 was 4 commodities, cluster C2 was 7 commodities, cluster C3 was 20 commodities, in the medicinal plants and spices category cluster C1 was 2 commodities, cluster C2 was 1 commodity, cluster C3 was 13 commodities. In the vegetable horticultural commodity category that includes high production results are Large Chili (Group), Cabbage, Eggplant, the fruit horticultural commodity category that includes high production results is Durian, Orange (Group), Siamese Orange/Tangerine, Banana, and the vegetable horticultural commodity category that includes low production results is Ginger, Rhizome (Group).
Implementation Of Apriori Algorithm To Analyze Sales Data Of Goods At Izza Aquarium Shop Febianda, Kanita; Asnawati, Asnawati; Yupianti, Yupianti
Jurnal Media Computer Science Vol 4 No 2 (2025): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v4i2.8569

Abstract

Toko Izza Aquarium is a business that sells animal feed and aquarium equipment. This research analyzes the sales data of Toko Izza Aquarium by applying the Apriori algorithm with the aim of providing data-based strategic recommendations to increase sales and customer satisfaction. This research is also expected to contribute in the field of sales data analysis in small and medium enterprises. The application of data mining to analyze the sales data of the Izza Aquarium Store is to provide information. The results of the analysis of Monthly sales data for the Izza Aquarium Store. Can be used as a parameter for inventory management at the Izza Aquarium Store and also provides information about the best-selling items at the Izza Aquarium Store. In analyzing sales data, the Apriori method is applied, so that the final result stage of the analysis passes the Apriori Method stage by meeting the Minimum Support and Minimum Confidence that has been determined. Based on the results of tests carried out on a data sample of 20 transactions in August 2024, the sales products that are most in demand by the public meet Minimum Support of 15% and Confidence 90% It turns out that Misster Puss Salmon and Chat Choice Green.
Co-Authors Abimanyu, Iqbal Kresna Agustin, Decki Ahmad, Rahman Aji Sudarsono Alinse , Rizka Tri Angga Dwi Supardi Putra, Edo Aprilinda, Tara Aribowo, Deko Asnawati Asnawati Beti, Ila Yati Candra, Bintang Bayu Abie Dimas Aulia Trianggana Edy Hermansyah Eko Suryana Erni Yanti Natalia, Erni Yanti Febianda, Kanita Feri Hari Utami, Feri Hari Fredricka, Jhoanne Galih Putra Kusuma Herlina Latipa Sari Indra Kanedi Juju Jumadi Julita , Rina Jutriansyah, Dodon Khairil Khairil Kurnianto, Ridho Rahman Lena Elfianty Lianda, Deri Liza Yulianti Marzuki, Wahyu Ishak Meta, Rio Sefrin Alfa Monika, Lola Eris Muhammad Ikbal Muhammad Soleh Mukmin, Fauzan Latief Nurhalifah, Silvy Dwi Nurul Husna Prasetyo R, Eko Putra, Nanda Pratama Putra, Repal Kesatria Putra, Riski Adi Putri, Rozi Eka Rahmat Hidayat Revaldo, Ahmad Rianda, Reszha S Siswanto sapri sapri Sari, Heni Kusnita Sartika , Devi Sartika, Devi Septiyadi, Muhammad Harri Silola, Alun Supardi , Reno Supriadi, Dofey Suriatno, Tommy Ulandari, Puspa Zulfiandry, Ricky