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All Journal Jurnal Media Infotama TRANSISTOR Elektro dan Informatika Sinkron : Jurnal dan Penelitian Teknik Informatika International Journal of Artificial Intelligence Research Prosiding Seminar Nasional Darmajaya Jurnal Teknik Informatika UNIKA Santo Thomas JURTEKSI JOURNAL OF SCIENCE AND SOCIAL RESEARCH JSAI (Journal Scientific and Applied Informatics) Abdihaz: Jurnal Ilmiah Pengabdian pada Masyarakat Budimas : Jurnal Pengabdian Masyarakat JUKI : Jurnal Komputer dan Informatika MEANS (Media Informasi Analisa dan Sistem) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Indonesia Raya Jurnal PADAMU NEGERI (Pengabdian pada Masyarakat Bidang Eksakta) Jurnal Dehasen Untuk Negeri Jurnal Media Computer Science JIPkM Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat SATIN - Sains dan Teknologi Informasi Jurnal Komputer Indonesia Jurnal Semarak Mengabdi Jurnal Gotong Royong Jurnal Pengabdian Mandiri Jurnal Inovasi Kerja Nyata (JIKN) Jurnal Komputer, Informasi dan Teknologi
Lena Elfianty
Universitas Dehasen Bengkulu
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Implementation of the Additive Ratio Assessment (ARAS) Method for Employee Performance Assessment in the Office of Perum Bulog Yilistriyani Yilistriyani; Indra Kanedi; Lena Elfianty
Jurnal Komputer, Informasi dan Teknologi Vol. 1 No. 1 (2021): Juni
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v1i1.133

Abstract

Employee Performance Appraisal is very important, especially for employees in the scope of Perum BULOG Divre Bengkulu to encourage motivation and professionalism of employees in improving work quality. Constraints faced in conducting performance appraisals are due to the diversity of educational backgrounds, experiences, competencies and employee portfolios, so we need a system that can assist in the performance appraisal process so that the Employee Performance Appraisal does not become slow and experience difficulties. In the process of designing an employee performance appraisal decision support system application design uses the ARAS approach. The ARAS (Additive Ratio Assessment) method is one of the multicriteria decision-making methods based on the ranking concept using the utility degree, namely by comparing the overall index value of each alternative to the overall index value of the optimal alternative. The system implementation uses the Visual Basic 2010 programming language and the method used in this research is the waterfall method. From the results of the tests carried out, it can be concluded that this decision support system can provide selected employee decisions which later can be used as a reference for determining the quality of employee performance.
The Expert System For Diagnosing Lovebird Diseases By Algorithm Certainty Factor Baggash Adytia Pratama; Dewi Suranti; Lena Elfianty
Jurnal Komputer, Informasi dan Teknologi Vol. 1 No. 1 (2021): Juni
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v1i1.150

Abstract

This study aims to diagnose disease in lovebirds using the Certainty Factor Algorithm. Lovebird is a type of bird that is much favored by the public. Lovebird is known as a race bird that has a unique song. However, the lack of knowledge of treatment for lovebirds if they are sick. Therefore, an expert system was designed to diagnose lovebird disease with the Certainty Factor method. This expert system is expected to be used by bird lovers. Love Bird. This expert system is designed using the PHP programming language and MySQL database. The expert system created can make it easy for users to consult about lovebird diseases online. The research method used by the author is the waterfall method. The application of the Certainty Factor method in this Lovebird expert system can be used in determining Lovebird disease. So that this expert system can be used as a tool in diagnosing disease in Lovebird. The MySQL database can accommodate information and data from users who consult with this expert system. Based on the results of the tests that have been carried out, the expert system for diagnosing Lovebird disease can provide convenience for users to consult about Lovebird disease.
Application of Topsis Method in Employee Performance Assessment at PDAM Bengkulu Weeildyalihumarita Weeildyalihumarita; Maryaningsih Maryaningsih; Lena Elfianty
Jurnal Komputer, Informasi dan Teknologi Vol. 1 No. 2 (2021): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v1i2.224

Abstract

Employee performance appraisal is very important, especially for employees in the Bengkulu PDAM environment to encourage employee motivation and professionalism in improving work quality. Constraints faced in conducting performance appraisals are due to the diversity of educational backgrounds, experience, competencies and employee portfolios, so we need a system that can assist in the performance appraisal process, so that Employee Performance Assessment will not take time and get into trouble. In the process of designing a decision support system application for evaluating employee performance using the TOPSIS approach. The TOPSIS method (Technique For Order Performance By Similarity To Ideal Solution) is a multi-criteria decision-making method or alternative choice which is the alternative that has the smallest distance from the positive ideal solution and the largest distance from the negative ideal solution. The implementation of the system uses the Visual Studio 2010 programming language and the method used in this study is the waterfall method. From the results of the tests carried out, it can be concluded that this decision support system can provide the best employee decisions which can later be used as a reference to determine the quality of employee performance.
Application of the K-Means Method in Determining the Clustering of the Economic Status of the Villagers of Gunung Megang Edison Edison; Yupianti Yupianti; Lena Elfianty
Jurnal Komputer, Informasi dan Teknologi Vol. 1 No. 2 (2021): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v1i2.230

Abstract

Gunung Megang Village is one of the villages located in Semidang Alas District, Seluma Regency. Every year the Village Head will record the population for data archiving and reporting, where the process has utilized a computerized system, namely by using office applications. However, the current population data collection only records the number of residents in Gunung Megang Village (data attached), so it cannot find out population information based on economic status. Economic status is the position of a person or family in society based on monthly income. However, the economic capacity of each community is different, some have a high economic status and some have a low one, this is seen in terms of income and expenditure. The application for determining the clustering of the economic status of the residents of Gunung Megang Village was made using the Visual Basic .Net programming language and SQL Server 2008 Database by applying one of the data mining methods used, K-Means. The grouping is based on data on the economic status of the residents of Gunung Megang Village (data attached) which is divided into 3 clusters, namely Cluster 1 (High), Cluster 2 (Medium) and Cluster 3 (Low). With this application, it is hoped that it can help the Gunung Megang Village Office in finding out information on the economic status of the population. Based on the tests that have been carried out, the functionality of the application for determining the clustering of the economic status of the residents of Gunung Megang Village is running as expected, and the application is able to provide information on the grouping of data on the economic status of the residents of Gunung Megang Village.
Goods Inventory Application at Sal Laptop Store Using Visual Basic.Net Ardhi Pratomo; Leni Natalia Zulita; Lena Elfianty
Jurnal Komputer, Informasi dan Teknologi Vol. 1 No. 2 (2021): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v1i2.279

Abstract

Stock data processing at Sal Laptop Store is still done manually, namely by using books, as a result, processing the data takes a long time. In fact, to process data items required an accuracy. Documentation of goods data in a company or business entity is very important. With the increasing number of incoming and outgoing goods data in a company/business entity, it is necessary to computerize data recording. The inventory application at Sal Laptop Store is an application that can be used to assist the store in managing goods data, sales and purchases of goods, besides that there are also outputs that can be used to find out sales and inventory reports at the store. The goods inventory application at the store is made using the Visual Basic .Net programming language and SQL Server database. Based on the results of system testing, it can be concluded that the functionality of the goods inventory application at Sal Laptop Store has been running well. Based on the results of system testing at the store, the application is appropriate and can help data processing, namely data on goods, purchases, and sales of goods, and the output provided can help control inventory and sales of goods.
Decision Support System for Teacher Performance Assessment at SMP Negeri 1 Talang Padang Using the Weight Product Method Desi Tosary; Maryaningsih Maryaningsih; Lena Elfianty
Jurnal Komputer, Informasi dan Teknologi Vol. 1 No. 2 (2021): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v1i2.283

Abstract

Teacher performance assessment aims to improve the quality of teaching and learning activities. The obstacle faced is the difficulty of evaluating teacher performance objectively due to the many responsibilities of teachers to students and to schools. To overcome these obstacles, a decision support system with the Weight Product method is needed to be used as a tool to support the decision-making process. The Weight Product method uses multiplication to connect attribute ratings, where the rating of each attribute is raised first to the weight of the attribute in question. The implementation of the system uses the Visual Basic 2010 programming language and the method used in this study is the waterfall method. From the results of the tests carried out, it can be concluded that the teacher performance assessment using the Weight Product can be done well by taking the top number of teachers from the Weight Product ranking process which can then be reported in the form of a teacher performance assessment report.
Drug Data Clustering Based on Total Inventory and Total Demand for Drugs Using the K-means Clustering Method at Pajar Bulan Health Center Robi Saputra; Liza Yulianti; Lena Elfianty
Jurnal Komputer, Informasi dan Teknologi Vol. 2 No. 1 (2022): Juni
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v2i1.784

Abstract

At Pajar Bulan Health Center, drug supply data processing is already using office application packages, namely Microsoft Word and Excel. The application package is used for making monthly usage reports, requests and drug supplies. Constraints that often occur are that it takes a long time to manage drug inventory data because they have to record one by one the amount of drug use and the number of drug requests to be made. The number of requests is carried out every month by looking at the latest drug supply, if the stock starts to run low then a request is made. However, it is possible that the stock has run out before making a request, this results in a lack of drug supply management. Drug data clustering is carried out based on the amount of supply and the number of requests for drugs at the Pajar Bulan Health Center through the K-Means Clustering Method approach. To help cluster the drug data, an application was built using the Visual Basic .Net programming language and SQL Server 2008r2 database. Clustering of drug data is carried out in units of pcs in 2021 where the amount of inventory is reduced by the number of requests for drugs, so that the results obtained are 2 drugs enter cluster I and 27 drugs enter cluster II. good and the application can help the Pajar Bulan Health Center in knowing the grouping of drug data based on 2 groups, namely the few clusters and the large clusters
Application of K-Means In Grouping Tourist Visits To Bengkulu Province Tourist Attractions Harjoni Saputra; Herlina Latipa Sari; Lena Elfianty
Jurnal Komputer, Informasi dan Teknologi Vol. 2 No. 1 (2022): Juni
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v2i1.790

Abstract

The management of attractions needs the support of Bengkulu Province Tourism Office, which is one of the government agencies in Bengkulu province. Every month a data collection on the number of visits to each tourist attraction in Bengkulu province will be carried out. From the large number of visit data that is calculated every year, Bengkulu provincial tourism office has difficulty in knowing the number of tourists and also difficulties in identifying which tourist objects are visited the most and least visited. The application for grouping tourist visits to tourist objects in Bengkulu province was made using the Visual Basic.net programming language and SQL Server 2008 data base by applying the Clustering Method, namely K-Means, the grouping was based on data on the number of tourist attraction visits for 12 months from January 2019 to with December 2019 which was divided into 4 attributes, namely Individual Adults (DP), Group Adults (DR), Individual Children (AP), and Group Children (AR). The data clustering process was carried out by dividing into 3 groups, namely Cluster 1 (high number of tourist visits), Cluster 2 (medium number of tourists) and cluster 3 (low number of tourists). Based on the results of the tests that have been carried out, the application for grouping tourist visits to tourist attractions in Bengkulu province has been successfully carried out, and can provide information based on 3 groups, namely Cluster C1 (high), Cluster C2 (medium) and Cluster C3 (low), as well as functionalities of the application. has worked as expected.
Implementation Of Technique For Order Preference By Similarity To Ideal Solution Method In Performance Assessment Of Best Medical Personnel In Public Hospitals Kepahiang Area Ragil Fadilla Rahma Dani; Liza Yulianti; Lena Elfianty
Jurnal Komputer, Informasi dan Teknologi Vol. 4 No. 1 (2024): June
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v4i1.1665

Abstract

In assessing the performance of the best medical personnel at the Kepahiang Regional General Hospital, there are several criteria that are used as an assessment. This assessment is based on the assessment of the performance of medical personnel, namely Service Orientation, Responsibility, Discipline, and Attendance. In this study, the technique for order preference by similarity to ideal solution (TOPSIS) method is applied with a decision support system, each of the criteria in the assessment of the performance of medical personnel is compared with one another, thus providing an output of priority intensity values for each medical personnel. From the description above, it can be concluded that in assessing the performance of the best medical personnel, only those who meet the criteria with the highest value will be selected.
Decision Support System By Applying Exponential Comparison Method (ECM) In Selecting The Best Village Secretary In Pondok Kelapa Sub-District Silvia Wahyu Hastuti; Liza Yulianti; Lena Elfianty
Jurnal Komputer, Informasi dan Teknologi Vol. 4 No. 1 (2024): June
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v4i1.1667

Abstract

The selection of the best village secretary in Pondok Kelapa Sub-District is carried out directly by the sub-district. In determining the best village secretary, Pondok Kelapa Sub-District is considered ineffective, as it is challenging to decide who is suitable to become the best village secretary. The decision support system application determines the best village secretary candidate in Pondok Kelapa Sub-District using the Exponential Comparison Method (ECM). The first step is to assign weights to each criterion, followed by ranking to determine the highest alternative from all available alternatives. This highest alternative is the result worthy of being accepted as a tested village secretary based on the predetermined criteria. This study concludes that the system built can assist the sub-district in selecting a village secretary who meets the standards, thus enabling them to carry out the tasks and responsibilities assigned to the village secretary.
Co-Authors Aan Herwansah Abdussalam Al Akbar Adriansa, Mezi Alfarisy, Ahmad Arib Alinse, Rizka Tri Andika, Ryndry Anisa Putri Pratama Annisa Putri Pratiwi Anto, Hardi Antoni Saputra Ardhi Pratomo Ariantara, Yudi Arif Nokra Median Baggash Adytia Pratama Candra Alexander Desi Tosary Dewi Suranti Dewi Yuliansari, Intan Dimas Setiawan Edettri, Tesa Edison Edison Edy Hermansyah Eko Suryana Eko Suryana Erpan Syahputra Evandi, Rahmad Evi Andriani Fadhilah, Abyyu Febriansyah, Angga Trio Firdaus, Muhammad Bintang Fredricka, Jhoanne Fredricka, Jhoanne Ghandur Zhafran Hari Aspriyono Harjoni Saputra Haryono, Mimpira Herlin Herlin Herlin, Herlin Herlina Latipa Sari Hesti Nur’aini Ila Yati Beti Indra Kanedi Juju Jumadi Jusuf Wahyudi Jutriansyah, Dodon Kanedi, Indra Kanedi Kanita Febianda Karona Cahya Susena Kriscin Gresia Hutabarat Kubroh, Darojatul Kurniawan, Dwiki Leni Natalia Zulita Lesmana, Ferdi Lianda, Deri Lina Widawati Liza Yulianti Liza Yulianti Maryaningsih Maryaningsih Maryaningsih, Maryaningsih Mesterjon, Mesterjon Miki Andika Muhammad Fadhil Z, Rusdi Noor Rosa (p:43-50) Mutiara Octa Sari Nadila Putri Wulandari Neri Susanti Ninosari, Devina Nofi Qurniati Ockhy Jey Fhiter Wassalam Panca Nugraha Pratama, Baggash Adytia Putra, Redo Osi Putra, Relissyah Qurniati, Nofi Qurniati, Nofi Ragil Fadilla Rahma Dani Rahmat Renaldi Revolina, Elya Rianda, Reszha Ricky Zulfiandry Rina Trisna Yanti Rina Trisna Yanti, Rina Riska Riska Rizka Tri Alinse Robi Saputra S Siswanto Sabda Novita Sallaby, Achmad Fikri sapri sapri Saputra, Ryu River Sari, Lidiya Okta Sarjuni, Muhammad Sartika, Devi Septianto, Muhamad Diecky Silvia Wahyu Hastuti Siti Sundari Sri Handayani Suartana, Gede Sukmawati Sukmawati Sulisti Afriani Sulisti Afriani, Sulisti Sumantri, Ajis Supardi, Reno Suranti, Dewi Syaputra, Sandy Ulandari, Puspa Vianis, Adittia Okta Weeildyalihumarita Weeildyalihumarita Wijaya, Ermy Wiradiansya, Edoar Wiranto, Fenggi Yesi Indian Ariska Yilistriyani Yilistriyani Yilistriyani Yilistriyani, Yilistriyani Yunda Wulandari Yupianti, Yupianti Yupianti, Yupianti Yusran, Yandra Muhammad Zahesya, Favien Riza