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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Media Infotama Jurnal Informatika E-Dimas: Jurnal Pengabdian kepada Masyarakat Jurnal Teknologi dan Sistem Komputer Jurnal Pengabdian Pada Masyarakat Abdimas Dewantara JMM (Jurnal Masyarakat Mandiri) SINTECH (Science and Information Technology) Journal Jiko (Jurnal Informatika dan komputer) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Dharma Raflesia : Jurnal Ilmiah Pengembangan dan Penerapan IPTEKS GATOTKACA Journal (Teknik Sipil, Informatika, Mesin dan Arsitektur) Jurnal Abdi Masyarakat Indonesia Jurnal Komputer, Informasi dan Teknologi Jurnal Multidisiplin Dehasen (MUDE) Jurnal Media Computer Science

Dewi Suranti

Department Of Informatics, Faculty Of Computer Science, Universitas Dehasen Bengkulu

Author-ID : 2582434

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Published : 26 Documents Claim Missing Document

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Application Of Study Time Prediction Management Study Program Faculty Of Economics Dehasen University Bengkulu Using Naive Bayes Method Dzaki Muhammad Alwan; Dewi Suranti; Rizka Tri Alinse
Jurnal Media Computer Science Vol 1 No 2 (2022): Juli
Publisher : Fakultas Ilmu Komputer Universitas Dehasen Bengkulu

The Management Study Program is one of the Strata 1 (S-1) study programs located at the Faculty of Economics, Dehasen University, Bengkulu. Students who graduate with a study period of 7 semesters to less than 8 semesters, 8 semesters and more than 8 semesters have different grades. The success of students completing their study period cannot be separated from the factor of the study plan prepared by the Head of the Study Program. The number of students who will conduct consultations on study plans, makes the study program overwhelmed and requires quite a lot of time to help provide information on the future of study. Therefore, we need a system that can help provide recommendations for predicting the results of the study period for each student automatically. The application for predicting the study period of students in the Management Study Program, Faculty of Economics, University of Dehasen Bengkulu, was created to help provide recommendations for predicting study period results for each student automatically by applying the Naive Bayes Method. The classification is divided into 3 parts, namely students who graduate early (7 semesters to less than 8 semesters), students who graduate on time (8 semesters) and students who graduate not on time (more than 8 semesters). Based on student grade data in 2019, the results of the prediction for the study period of 30 students were obtained, namely 22 people graduating faster, 2 people graduating on time, and 6 people graduating not on time..

Implementation Of Data Mining Using Algorithms A Priori in Determining The Pattern Of Product Purchases Perfume Sold Case Study On (Rafflesia Aromatic Professional Perfume) Kadek Dwi Andi Sasrawan; Dewi Suranti; Ila Yati Beti
Jurnal Media Computer Science Vol 1 No 2 (2022): Juli
Publisher : Fakultas Ilmu Komputer Universitas Dehasen Bengkulu

At the rafflesia aromatic professional perfume store, we have not used a special application in determining the purchase pattern of perfume products sold and still use manual data processing such as writing in books, and do not utilize existing sales data and sales data only as an archive. So tejadi accumulation of data that is not in the know the benefits. Basically, the data set has useful information to make a decision about the pattern of perfume sales that are sold. One method that can solve the above problems is the Apriori algorithm method. Because the apriori algorithm is a suitable algorithm used to determine the search for Frequent itemsets using the Assciation rule technique with transaction data that is used for 1 month (January 1, 2022 – January 30, 2022).With the amount of 25 data from 15 transactions, support items can be displayed minimum support Value = 10% as many as 10 perfumes consisting of Celebrity, Citra Edition , Alasca , Topaza , Rock Star ,Be Delicitions , La Verne , B Agua Marine, Jasmin Note , and garuda. For a combination of 2 itemset is to use support 15% which consists of, Celebrity-Citra Edition, Celebrity-Alasca, Topaza-Rock Star, Rock Star-be Delicitionse, La Verne-B aqua Marine, B aqua Marine- Jasmine Note, then look for the rules of association that can meet the minimum requirement for confidence is to calculate the confidence associative rules based on a ❸ ( ❸ ) B with a minimum value of support taken is 20%, then that meets that there is a perfume most purchased by consumers is Citra edication, celebrity, alasca ,celebrity topaza, rock star the minimum value of support taken is 20%, then that there is a perfume most purchased by consumers is Citra edication, celebrity, alasca ,celebrity topaza, rock star.

The Implementation Of Teacher Performance Assessment Through Promethee Method Approach (Case Study At Smkn 5 Seluma) Guritno Adianto; Dewi Suranti; Aji Sudarsono
Jurnal Media Computer Science Vol 1 No 2 (2022): Juli
Publisher : Fakultas Ilmu Komputer Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v1i2.2703

SMK Negeri 5 Seluma is one of the Vocational Schools in Seluma Regency, Bengkulu Province. At the school in every year a Teacher Performance Assessment or what is often referred to as PKG is carried out. There are 14 assessment criteria for teacher performance which are divided into 4 categories of assessment, namely Pedagogic, Personality, Social and Professional. So far, the processing of teacher performance assessment data has used the office application package, namely Excel (data attached) to provide grades and calculate the PKG scores obtained by the teacher in accordance with the applicable provisions. The implementation for assessing teacher performance at SMK Negeri 5 Seluma using Promethee Method was created using the Visual Basic.Net programming language (IDE Visual Studio 2010) and SQL Server 2008 database. The application for assessing teacher performance at SMK Negeri 5 Seluma it can be used as an alternative in helping to assess assessment of teachers in schools, so that it can be seen who has the best performance based on the ranking results obtained from the promethee. The application for assessing teacher performance at SMK Negeri 5 Seluma has applied Promethee method, so that the final assessment results for each teacher have gone through the calculation procedure for the Promethee method. The final assessment results will be sorted from the highest value to the lowest value by looking at the net flow value which is the result of subtracting the leaving flow and entering flow. Based on testing using 5 (five) teacher performance assessment data in 2019, the results obtained that Guru Isuadi, S.Pd got the highest score with a leaving flow value of 1.63, entering flow 1.63 and net flow 1.63. Based on the results of the same assessment on manual calculations, it is found that the results of calculations on the decision support system had the same value as the results of manual calculations that had been carried out. Applications can be used as an alternative in providing an assessment of teacher performance in schools.

Decision Support System Determination Of Achieving Students Using The Promethe Method At Smk Negeri 4 Kepahiang Jepri Haji Utama; Liza Yulianti; Dewi Suranti
Jurnal Media Computer Science Vol 1 No 2 (2022): Juli
Publisher : Fakultas Ilmu Komputer Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v1i2.2708

SMK Negeri 4 Kepahiang is one of the State Vocational High Schools located in Kepahiang Regency, Bengkulu Province. So far, the assessment system for outstanding students in schools is carried out by registering students and looking at 4 aspects of the assessment, namely the value of knowledge, the value of absenteeism, the value of non-academic achievement, the value of attitudes and behavior. The determination process is still done manually, where the four aspects will be compared between one student and another so that it can be known with various considerations, so that 3 outstanding students are obtained from the number of students. This is of course an obstacle for the school, because sometimes it is difficult to determine outstanding students and it takes quite a long time. The Decision Support System for determining outstanding students at SMK Negeri 4 Kepahiang was made using the Visual Basic .Net programming language and SQL Server 2008r2 database, where in the application one of the Decision Support System Methods (SPK) was applied, namely the Promethee Method. This application can be used as an alternative in assisting the school in determining outstanding students each academic year. The Decision Support System for determining outstanding students at SMK Negeri 4 Kepahiang begins with student assessment data which is then processed into the Promethee Method according to the stages of the method, so as to produce a final score by sorting the highest score to the lowest value. Based on the assessment data for the 2021/2022 Academic Year as many as 4 students, the outstanding student was Alim Predika with a net flow value of 0.42..

A Comparative Analysis Of Simple Additive Methods Weighting With Preference Selection Index In The Selection Of The Best Sales Rahmat Budianto; Dewi Suranti; Reno Supardi
Jurnal Media Computer Science Vol 1 No 2 (2022): Juli
Publisher : Fakultas Ilmu Komputer Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v1i2.2741

PT. Tunas Dwipa Matra Branch of Putri Hijau is a company engaged in the sale of motorcycles by cash and credit which is located in North Bengkulu Regency, Bengkulu Province. PT. Tunas Dwipa Matra needs a decision support system that can correct the weaknesses of the current system, namely data collection and sales selection which is still manual, namely by using a book, as a result, selecting the best salesperson takes a very long time. In fact, for the assessment of the best sales selection, accuracy and precision are needed, so that the results can be accepted by all sales and employees at PT. Tunas Dwipa Matra. The method used is Simple Additive Weighting and Preference Selection Index Method to assist company management in assessing the best sales performance of employees in the company. Besides that, PT. Tunas Dwipa Matra strives to improve various service facilities that are friendly to consumers so that sales targets can be achieved every year. Based on the results of system testing at P.T Tunas Dwipa Matra, it can be concluded that the application made is as expected and can help the process of selecting the best salesperson. And the best sales in 2021 is Fitri with SAW value: 79 and PSI value: 0.832597

Decision Support System Direct Cash Assistance Of Village Funds (Blt Dd) Using Weighted Aggregated Sum Product Assement Waspas Method (Case Study Of Padang Pandan Village) Suci Permata Sary; Herlina Latifa Sari; Dewi Suranti
Jurnal Media Computer Science Vol 2 No 2 (2023): Juli
Publisher : Fakultas Ilmu Komputer Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v2i1.3900

The problems found in this study are how to make a Decision Support System application for direct cash assistance to BLT DD village funds by applying the Waspas method to Padang Pandan Village. Decision Support System is an information system that provides information, modeling and data manipulation. Decision support systems provide specific interactive support for the decision-making process of managers and other business practitioners. The purpose of the Decision Support System is to make it easier to collect data on the implementation of BLT village funds.The WASPAS method is a combination of two methods, namely the WSM (Weight sum model) and the Weight product model (WPM). WSM is a weighted quantity, while WPM is a weighted product model. So it can be defined that WASPAS is an assessment of the weighted aggregate amount product. The results of the study that the waspas method can collect data on the value of the results of information calculations about direct cash assistance for BLT DD village funds in Padang Pandan village

Co-Authors Abdussalam Al Akbar Aji Sudarsono Aziz Ali Mahendra Baggash Adytia Pratama Dian Mardianti Dian Mardianti Dzaki Muhammad Alwan Eko Suryana Evi Andriani Fredricka, Jhoanne Guritno Adianto Hari Aspriyono Hendri Alamsyah Herlina Latifa Sari Herlina Latipa Sari Hesti Nur’aini Ila Yati Beti Jepri Haji Utama Juju Jumadi Jusuf Wahyudi Kadek Dwi Andi Sasrawan Lena Elfianty Lianda, Deri Lina Widawati Liza Yulianti M Dicky Imansyah Maryaningsih Maryaningsih Pardi Hardianto Rahmat Budianto Rendis Rendis Reno Supardi Ricky Zulfiandry Riki Ternando Rizka Tri Alinse Robby Andika Rosi Rahmadi Syahputra Sahlino Sahlino Satrio Candiago Suci Permata Sary syisva nurwita Venny Novita Sari Wansa S Junizar Yode Arliando Yupianti, Yupianti

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