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SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN KARYAWAN TERBAIK MENGGUNAKAN SIMPLE ADDITIVE WEIGHTING Beti, Ila Yati
ILKOM Jurnal Ilmiah Vol 11, No 3 (2019)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v11i3.480.252-259

Human Resources is an important asset in the company to be able to achieve company goals, the selection of the best employees is a way that companies do to motivate employee performance. Company leaders usually have difficulty in evaluating employee performance with various assessment indicators available. This results in decisions that are not objective, to be able to process the best employee selection data that is more accurate and more objective results. Then the Decision Support System is needed in the selection of the best employees. In this study there were 25 Alternative Employees who had met the best employee selection requirements that were processed using the Simple Additive Weighting method and based on 5 assessment criteria, namely the criteria of loyalty, responsibility, behavior / ethics, cooperation, and attendance. From the results of the calculation of the SAW method obtained a top 10 ranking and also obtained that employee work loyalty is very influential on the calculation results with a weight of 30% of the overall weight.

SISTEM PAKAR DIAGNOSA PENYAKIT GANGGUAN TIDUR DENGAN METODE FORWARD CHAINING BERBASIS WEB (STUDI KASUS : UPTD PUSKESMAS TELAGA DEWA KOTA BENGKULU) Revaldo, Ahmad; Yupianti, Yupianti; Beti, Ila Yati
Jurnal Media Infotama Vol 19 No 1 (2023): April
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v19i1.3314

Abstract—The necessities of life force people to work to fulfill their daily lives. In general, humans work during the day and rest at night. A lot of time spent working requires humans to rest to recover their physical condition. Sleep is an important phase in daily activities that is useful for balancing human life. Everyone's sleep needs are different. Many people are long-sleepers who need 9 to 10 hours of sleep a night while others are short-sleepers who only need less than 6 hours of sleep each night. Long sleep is not always associated with sleep disturbances. Besides that most people are not medically trained, therefore the authors intend to design an "expert system for diagnosing sleep disorders using the web-based forward chaining method" which can be accessed via http://puskesmastelagadewa.com/. This application is expected to be used by the community in early diagnosis as a prevention of more severe disease. This system is designed using the PHP programming language and MySQL database, the resulting expert system is able to help patients diagnose sleep disorders while providing solutions to the disease. From the test results, it is obtained that 100% functionality runs according to system requirements. In the system testing carried out at the Telaga Dewa Health Center UPTD, Bengkulu City, symptoms and diseases were obtained from 7 existing sample data.

Implementasi Forecasting Penjualan Obat Menggunakan Metode Straight Line Model Pada Apotek Ficus Bengkulu Puspita, Nara; Kanedi, Indra; Beti, Ila Yati
Jurnal Media Infotama Vol 19 No 2 (2023): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v19i2.4288

Abstract: Forecasting is an analytical technique that uses historical data as input to make informed forecasts to determine the direction of future trends. Forecasting can be used for business actors to be able to manage and organize sales strategies and inventory in the following month or year. Ficus Bengkulu Pharmacy is one of the pharmacies in the city of Bengkulu which sells various types of medicines, both prescription and non-prescription. The processing of drug sales data is still conventional, so when pharmacists want to know drug sales and drug supplies they have to look at the records from the book so it takes a very long time. Therefore, an inventory application is needed that is able to record drug records and provide recommendations in the form of forecasting to maintain and control drug use and drug demand which is carried out every month. The forecasting method used is the Straight Line Model Method. Based on the implementation of Tremenza drug sales data for 2021, the results for forecasting Tremenza drug sales in 2022 are obtained every month from January to December 2022, where the average value of sales forecasting results per month is 1041 and an increase of 4.83% from average sales per month in the previous year.

Penerapan Metode K-Medoid Dalam Pengelompokkan Data Pertanian Di Dinas Tanaman Pangan Hortikultura Dan Perkebunan Provinsi Bengkulu Dewangga, Hoki; Khairil, Khairil; Beti, Ila Yati
Jurnal Media Infotama Vol 20 No 2 (2024): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i2.6459

The Department of Agriculture, Food Crops, Horticulture and Plantations of Bengkulu Province has collected data on agricultural commodities in each Regency/city in Bengkulu Province which are recapitulated annually, but at the Department of Agriculture, Food Crops and Horticulture and Plantations of Bengkulu Province there is no system that can be used to classify agricultural yield data for each of these various commodities so that it is difficult to obtain information on potential harvest-producing agricultural areas in Bengkulu Province for each commodity. Therefore, a system is needed that can help provide information on the results of grouping agricultural data for each commodity so that it can be known which regency/ cities are categorized as potential crop producers in Bengkulu Province based on harvest area (Ha), production (Ton) and productivity (Ku / Ha). The implementation of K-Medoid Method in classifying agricultural data at the Department of Food Crops, Horticulture and Plantation of Bengkulu Province can provide information on the results of grouping data on agricultural areas that have potential crop yields for the last 1 year in Bengkulu Province, and can be used as a reference in providing assistance from the Department of Food Crops, Horticulture and Plantation of Bengkulu Province. From the results of clustering using the K-Medoid Method, it was found that Rejang Lebong Regency area had high yield potential (cluster 1) in all three commodities (rice, corn, and peanuts), while the Mukomuko Regency, Kepahiang, Central Bengkulu, and Bengkulu City areas had low yield potential (cluster 2) in all three commodities (rice, corn, and peanuts).

Penerapan Metode Analytical Hierarchy Process (AHP) Dalam Menentukan Siswa Berprestasi Di SMK Negeri 6 Kota Bengkulu Ahmad, Rahman; Yupianti, Yupianti; Beti, Ila Yati
Jurnal Media Infotama Vol 20 No 2 (2024): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i2.6604

SMKN 6 Bengkulu City is one of the public vocational high schools in Bengkulu City. So far, the process of selecting outstanding students is only seen from the results of report cards by summing up all the grades per subject obtained by students, and then ranking them. This is certainly less effective in determining outstanding students, because it must be supported by other aspects such as the value of student attitudes during the teaching and learning process, student attendance, academic and non-academic achievements. The purpose of this research is to implement the Analytical Hierarchy Process (AHP) method in determining outstanding students at SMKN 6 Bengkulu City. Therefore, in this study an application was built that can be used as a forum in determining outstanding students at SMKN 6 Bengkulu City. The implementation of Analytical Hierarchy Process (AHP) method in determining outstanding students at SMKN 6 Bengkulu City can assist schools in determining outstanding students in every school year, where the final score will be sorted from the highest score to the lowest score to get the achievement rank of each student, where the assessment parameters/criteria used are the average report card score, attitude score, attendance percentage, number of academic achievements, and number of non-academic achievements. Based on sample data of student assessments at SMKN 6 Bengkulu City, used for calculations through the Analytical Hierarchy Process (AHP) Method for 2022/2023 Odd Period as many as 10 students of class X, the results of outstanding students were taken from the highest score, namely M. Fadhil Dwiki Rahmadan with a score of 78.31956

Decision Support System For Recommending Expertise Programs Using Ahp Method Setiawan, Alfin; Asnawati, Asnawati; Beti, Ila Yati
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.v4i1.7533

SMK Negeri 3 Kota Bengkulu is a Vocational High School located in Bengkulu Province. At SMK Negeri 3 Kota Bengkulu there are 5 (five) Expertise Programs that can be selected by new students including Culinary, Fashion, Beauty and Spa, Computer Network and Telecommunication Engineering (TJKT) and Broadcasting and Film. Every new student who wants to register must choose one of the expertise programs available at SMK Negeri 3 Bengkulu City. The decision support system in providing recommendations for expertise programs using AHP Method can help provide recommendations for expertise programs that are appropriate and in accordance with the assessment criteria for prospective new students and can be used as a forum to assist schools for recommending the expertise programs of prospective new students at SMK Negeri 3 Bengkulu City. A decision support system for recommending expertise programs using the AHP Method is built web-based applications that can be accessed offline. Based on system testing that has been carried out, it can be concluded that the functional of the decision support system application for recommending expertise programs using AHP Method has run well and has successfully carried out AHP Method process on prospective student value data according to the school year and provides information on the results of the expertise program recommendations for each prospective student.

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

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.

Implementasi Metode SAW Untuk Kepuasan Pelanggan Terhadap Pelayanan Pegawai Toko My Lova Kota Bengkulu Disriani, Niken; Sapri, Sapri; Beti, Ila Yati
Jurnal Media Infotama Vol 21 No 1 (2025): April 2025
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i1.8100

Toko My Lova in Bengkulu City is one of the retail businesses engaged in the sale of fashion products and accessories. Along with business development, the need for adequate service is very important. Customer satisfaction is one of the key factors that can determine the long-term success of this store. However, the problem that is often faced is the difficulty of evaluating the extent to which employee services affect the level of customer satisfaction, as well as how to improve the quality of services provided.The solution offered is the implementation of the SAW method to measure customer satisfaction with My Lova store employee services. The SAW method will be used to analyze various criteria that affect customer satisfaction, such as employee friendliness, service speed, product quality, store cleanliness, and others.The results of the analysis of 10 consumers who have been surveyed regarding their satisfaction with employee services at Toko My Lova Bengkulu City, using the SAW method, then 90% of consumers stated that they were very satisfied with the services provided by My Lova Store employees. and 10% of consumers stated that they were satisfied, with the service at the my lova shop.

Penerapan Metode Importance Performance Analysis (IPA) Dalam Mengukur Tingkat Kepuasan Masyarakat Terhadap Kinerja Pelayanan Di Kantor Camat Kecamatan Lebong Tengah Apriza, Wika; Beti, Ila Yati; Mahdalena, Desi
Jurnal Media Infotama Vol 21 No 1 (2025): April 2025
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i1.8315

Measuring the level of community satisfaction at the Central Lebong Sub-District Head Office still uses a complaint box, where people can write suggestions on a piece of paper and then enter the suggestion through the box provided with two options, namely satisfied and dissatisfied. This is certainly less effective and takes a long time in measuring the level of community satisfaction due to the absence of a definite indicator in assessing satisfaction with service performance at the Central Lebong District Head Office. The application of the Importance Performance Analysis (IPA) method in measuring the level of community satisfaction with service performance at the Central Lebong Sub-District Head Office can assist administrators in managing data on the assessment of community satisfaction with service performance at the Central Lebong Sub-District Head Office, can provide information on the level of community satisfaction with service performance at the Central Lebong Sub-District Head Office, and can facilitate the community, especially those in the Central Lebong Sub-District area, in providing an assessment of satisfaction with service performance at the Central Lebong Sub-District Head Office. The application of the Importance Performance Analysis (IPA) method in measuring the level of community satisfaction with service performance at the Central Lebong Sub-District Head Office was built web-based using the PHP programming language and MySQL database which can be accessed via the url link https://surveikecamatanlebongtengah.online/. Based on the tests that have been carried out, it is found that this application is very helpful in managing and evaluating data on community satisfaction assessment of services at the Sub-District Head Office of Central Lebong District so that the level of community satisfaction is known and this application can be used as a forum for the community in providing community satisfaction assessment of services at the Sub-District Head Office of Central Lebong District.

Application Of Mamdani Fuzzy Logic To Predict Rice Pest Attacks On Bp3 Bingin Kuning Reynaldi, Abdillah Ahmad; Sapri, Sapri; Beti, Ila Yati
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.v4i2.8930

The Agricultural and Fisheries Extension Centre (BP3) Bingin Kuning is an agricultural extension centre that carries out activities related to agricultural extension preparation, evaluation, management, and development across various sectors. Every year, BP3 Bingin Kuning collects data on temperature, humidity, rainfall, and the number of attacks by each type of pest that occurs. The application of Mamdani fuzzy logic to predict rice pest infestations at BP3 Bingin Kuning can help in obtaining information on rice pest infestations each year, serve as a basis for evaluating measures to address future pest infestations, and assist farmers in addressing potential pest infestations earlier, thereby supporting BP3 Bingin Kuning in its agricultural extension activities. Based on test data under conditions of 24°C temperature, 90% relative humidity, and 295 mm rainfall in 2024, the pest type with the highest predicted attack frequency is the Keong Mas pest. Based on the system testing conducted, it can be concluded that the functionality of the Mamdani fuzzy logic application for predicting rice pest attacks at BP3 Bingin Kuning is functioning well and capable of displaying pest attack prediction results in accordance with the stages of the Mamdani fuzzy logic system.

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