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<![CDATA[The Implementation Of The Simple Multi Attribute Rating Technique (SMART) Method In Determining The Candidates Of Social Assistance Recipients In Bajak 1 Village Based On Decision Support System ]]>
<![CDATA[Dari, Erika Dwi Ulan]]>;
<![CDATA[Yulianti , Liza]]>;
<![CDATA[Prahasti , Prahasti]]>
<![CDATA[ Jurnal Komputer Indonesia Vol. 1 No. 1 (2022): Juni ]]>
Publisher : <![CDATA[LPPJPHKI Universitas Dehasen Bengkulu ]]>
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DOI: 10.37676/jki.v1i1.28
<![CDATA[Bajak 1 Village is a village located in Taba Penanjung Sub-District of Central Bengkulu and has a large population. In making decisions about social assistance recipients in Bajak 1 village, currently still using the manual method by collecting data from existing residents. problems in decision making and the possibility of people's data being mixed up therefore they are wrong in making decisions. The method that can be used in making decisions for prospective recipients of Social Assistance (Bansos) is the SMART (Simple Multi Attribute Rating Technique) method. The SMART method is a multi-attribute and flexible decision-making technique that can assist the village in making decisions quickly and accurately. To determine prospective recipients of social assistance based on 3 criteria, namely: occupation, income, and number of dependents. Based on these 3 criteria, a Decision Support System was developed using the SMART method. Decision Support System is a computer system that processes data into information and decisions. With the design of a Decision Support System to determine prospective recipients of social assistance using the SMART method, Bajak 1 Village can be assisted in making decisions for prospective recipients of social assistance. .]]>
<![CDATA[The Implementation of SAW Method in Applying Employees Leave At The Regional Secretariat Office Of Bengkulu ]]>
<![CDATA[Zuhri, M. Khoiruddin]]>;
<![CDATA[Yulianti , Liza]]>;
<![CDATA[Supardi , Reno]]>
<![CDATA[ Jurnal Komputer Indonesia Vol. 1 No. 1 (2022): Juni ]]>
Publisher : <![CDATA[LPPJPHKI Universitas Dehasen Bengkulu ]]>
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DOI: 10.37676/jki.v1i1.29
<![CDATA[The Regional employment Agency of Bengkulu Province is one of the government agencies that has the main role to helping head of regional civil service officer to implement the management of civil servants. Employees who have worked for a certain period of time are given to apply for leave, there are several types of leave such as annual leave, sabbatical leave, sick leave, maternity leave, and leave for important reasons. In line with this, the governance is required to be able to make decisions quickly and carefully, to determine which employees are more important to give the permission, the length of the process selection its make the employee having to wait for leave approval letters. Consequently it’s a problem in the process of granting the leave. Therefore, in this research, will be developed a system that will help the governance determine who is eligible to get the leave by applying the Simple Additive Waighting (SAW) method, with Visual Basic Net programming language, with SQL server database as storage media support, so that the process of determining employee leave can be done using the application.]]>
<![CDATA[The Implementation of SAW Method in Applying Employees Leave At The Regional Secretariat Office Of Bengkulu ]]>
<![CDATA[Zuhri, M. Khoiruddin]]>;
<![CDATA[Yulianti , Liza]]>;
<![CDATA[Supardi , Reno]]>
<![CDATA[ Jurnal Komputer Indonesia Vol. 1 No. 1 (2022): Juni ]]>
Publisher : <![CDATA[LPPJPHKI Universitas Dehasen Bengkulu ]]>
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DOI: 10.37676/jki.v1i1.29
<![CDATA[The Regional employment Agency of Bengkulu Province is one of the government agencies that has the main role to helping head of regional civil service officer to implement the management of civil servants. Employees who have worked for a certain period of time are given to apply for leave, there are several types of leave such as annual leave, sabbatical leave, sick leave, maternity leave, and leave for important reasons. In line with this, the governance is required to be able to make decisions quickly and carefully, to determine which employees are more important to give the permission, the length of the process selection its make the employee having to wait for leave approval letters. Consequently it’s a problem in the process of granting the leave. Therefore, in this research, will be developed a system that will help the governance determine who is eligible to get the leave by applying the Simple Additive Waighting (SAW) method, with Visual Basic Net programming language, with SQL server database as storage media support, so that the process of determining employee leave can be done using the application.]]>
<![CDATA[PENERAPAN METODE CLUSTERING K-MEANS DALAM PENGELOMPOKKAN JUMLAH PENGUNJUNG PADA DINAS PERPUSTAKAAN DAN KEARSIPAN PROVINSI BENGKULU ]]>
<![CDATA[Ninti Putriani]]>;
<![CDATA[Liza Yulianti]]>;
<![CDATA[Rizka Tri Alinse]]>
<![CDATA[ JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 6, No 3 (2023): October 2023 ]]>
Publisher : <![CDATA[Smart Education ]]>
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DOI: 10.54314/jssr.v6i3.1444
<![CDATA[Abstract: The Library and Archives Service of Bengkulu Province is a library based in the provincial capital of Bengkulu which aims to provide facilities and sources of information and become a center of learning. The number of visitors recorded on the visitor book list at the Library and Archives Service of Bengkulu Province can generate library visitor profile information. By using visitor data at the Library and Archives Service of Bengkuu Province, data mining can be carried out using the K-Means Clustering method. K-Means is a method of grouping data by taking the parameters of a number of clusters, and partitioning the data into these clusters. Based on the similarity between data in one cluster and the dissimilarity between different clusters, the center of the cluster is the average of the values of the cluster members. which are called centeroids. It is hoped that future research can be developed by adding attribute variables in forming visitor data groups for at the Library and Archives Service of Bengkuu Province such as regional and other variables.Keywords: K-Means; clustering; vb-netAbstrak: Dinas Perpustakaan dan kearsipan Provinsi Bengkulu merupakan perpustakaan yang berkedudukan di ibukota provinsi bengkulu yang bertujuan untuk menyediakan fasilitas dan sumber informasi dan menjadi pusat pembelajaran. Banyaknya pengunjung yang tercatat pada daftar buku pengunjung di Dinas Perpustakaan dan Kearsipan Provinsi Bengkulu dapat menghasilkan informasi profil pengunjung perpustakaan. Dengan menggunakan data pengunjung di Dinas Perpustakaan Dan Kearsipan Provinsi Bengkuu bisa dilakukan penambangan data (data mining) menggunakan metode Clustering K-Means. K-Means adalah metode pengelompokkan data dengan mengambil parameter sejumlah cluster, dan mempartisi data ke dalam cluster tersebut., dengan berpatokan pada kemiripan antar data dalam satu cluster dan ketidakmiripan di antar cluster yang berbeda, pusat dari cluster adalah rata-rata dari nilai anggota cluster yang disebut centeroid.Tujuan dari penelitian ini yaitu untuk membantu proses pengelompokkan jumlah data pengunjung pada kantor Dinas Perpustakaan. Diharapkan pada penelitian yang akan datang dapat dikembangkan dengan menambah variabel atribute dalam membentuk kelompok data pengunjung dinas perpustakaan dan kearsipan provinsi bengkulu seperti variabel wilayah dan lainnya.Kata kunci: K-Means; clustering; VB-Net]]>
<![CDATA[The Utilization Of Weather Radar Data For Weather Early Warning In Bengkulu Province Using K-Means Method ]]>
<![CDATA[Gragrista M, Avelyn]]>;
<![CDATA[Yulianti , Liza]]>;
<![CDATA[Kanedi , Indra]]>
<![CDATA[ Jurnal Komputer Vol 1 No 1 (2022): Juli-Desember ]]>
Publisher : <![CDATA[CV. Generasi Insan Rafflesia ]]>
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DOI: 10.70963/jk.v1i1.8
<![CDATA[The importance of weather information in Indonesia is because weather is a variable that determines climatic conditions, one of which is rainfall. Due to the importance for the public to know about weather developments in Indonesia, BMKG must be precise and accurate in providing weather information by utilizing Weather Radar. This radar applied the K-Means Method.The Weather Early Warning application uses the Python programming language and the Weather Radar Library (WradLib) by utilizing one of the data mining methods, namely K-Means. The grouping results are based on file.vol data obtained from Weather Radar (data attached). From this file.vol will be processed in the Python program and will produce 2 groups, namely Cluster C1 Wide Area and Cluster C2 Medium - dense area.The results of this study indicate that the use of weather radar for weatherearlywarning in Bengkulu Province using the K-Means method produces several iterations. There is a slight difference between Iteration 1 and Iteration II, because the data file.vol from the weather radar contains thousands of data so that in 1 sub-district there can be 2 areas, namely Wide Areas and Medium - Dense Regions, but that does not affect the final result of this study, namely Warning Early Weather.]]>
<![CDATA[Perbandingan Metode Sequential Searching Dan Metode Turbo Boyer Dalam Pencarian Data Siswa Di Sekolah ]]>
<![CDATA[Cahyono, Trisna]]>;
<![CDATA[Yulianti , Liza]]>;
<![CDATA[Yupianti]]>
<![CDATA[ Jurnal Komputer Vol 1 No 2 (2023): Januari-Juni ]]>
Publisher : <![CDATA[CV. Generasi Insan Rafflesia ]]>
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DOI: 10.70963/jk.v1i2.54
<![CDATA[SMA Negeri 11 Kota Bengkulu is one of the public high schools in Bengkulu City. Student data processing at SMA Negeri 11 Bengkulu City already uses computerized and integrated applications, but this data processing does not include processing problem student data. Where the management of problematic student data still uses bookkeeping and there is a violation point system that is recorded manually by the Guidance Counseling (BK) Teacher in the book. At the end of each school year, all points will be accumulated, to find out problem students. However, this is an obstacle where it takes time to calculate the violation points and search for student data because you have to look at one by one the book sheets that have been recorded manually. Comparison of the Sequential Searching method and the Turbo Boyer method in searching student data at school based on the processing time that occurs during the search process. In helping the comparison process, a student data search application was built at SMA Negeri 11 Bengkulu City using the Visual Basic .Net programming language and SQL Server Database. The student data search application at SMA Negeri 11 Bengkulu City can assist the school in searching student data to obtain information on student offenses for the last 1 school year. Based on the results of the tests that have been carried out, the functional of the student data search application at SMA Negeri 11 Bengkulu City has run well as expected and is able to provide information on the results of student data searches at school]]>
<![CDATA[Fuzzy Tsukamoto Method in Service Satisfaction Assessment at the Village Office Tanjung Aur 1 ]]>
<![CDATA[Pransiska, Yance]]>;
<![CDATA[Yulianti, Liza]]>;
<![CDATA[Jumadi, Juju]]>
<![CDATA[ Jurnal Media Computer Science Vol 4 No 2 (2025): Juli ]]>
Publisher : <![CDATA[LPPJPHKI Universitas Dehasen Bengkulu ]]>
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DOI: 10.37676/jmcs.v4i2.8150
<![CDATA[IKM analysis must always be carried out periodically so that it can be seen that public satisfaction with the services provided, especially at the Tanjung Aur 1 Village Office. But in reality, so far the Tanjung Aur 1 Village Office has not had a benchmark that is used as a forum for knowing public satisfaction with these services.The application of the Fuzzy Tsukamoto Method in assessing service satisfaction at the Tanjung Aur 1 Village Office can assist in managing the results of the Community Satisfaction assessment of Services at the Tanjung Aur 1 Village Office, and can provide information on the results of measuring the level of community satisfaction with services at the Tanjung Aur 1 Village Office as an evaluation material to improve service quality. The application of the Fuzzy Tsukamoto Method in assessing service satisfaction at the Tanjung Aur 1 Village Office is built web-based using the PHP programming language and MySQL database which can be accessed online via the link https://kepuasandesatanjungaur1.site/, where there are 2 interface access rights in the application, namely Administrators and Villagers of Tanjung Aur 1. Based on the 2024 service satisfaction assessment data with 9 respondents who have been inputted into the web-based application, the results of the service satisfaction assessment that have been analysed through the Fuzzy Tsukamoto Method are Very Satisfied 44.44%, Satisfied 22.22%, Quite Satisfied 33.33%, Dissatisfied 0% and Very Dissatisfied 0%. Based on the results of the demo programme that has been carried out, 9 respondents have successfully provided service satisfaction assessments on the application online and also the operator can see the output of the satisfaction assessment results which will be given to the Village Head for evaluation.]]>
<![CDATA[Expert System For Diagnosing Eardrum (Tympanic Membrane) Diseases Using Certainty Factor Method ]]>
<![CDATA[Jayanda, Prengky]]>;
<![CDATA[Yulianti, Liza]]>;
<![CDATA[Suryana, Eko]]>
<![CDATA[ Jurnal Media Computer Science Vol 4 No 2 (2025): Juli ]]>
Publisher : <![CDATA[LPPJPHKI Universitas Dehasen Bengkulu ]]>
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DOI: 10.37676/jmcs.v4i2.8413
<![CDATA[Dr. M. Yunus Regional General Hospital Bengkulu is one of the hospitals in Bengkulu City that provides health service facilities. The current problem at the M. Yunus Regional General Hospital is the limited time available at the ENT Polyclinic and the delay in examining eardrum disease. So patients must go directly to the ENT Specialist Doctor who treats eardrum disease. The limited time of the Specialist Doctor who treats eardrum disease at the Hospital is also one of the causes of the delay in handling patients with eardrum disease. The expert system for diagnosing eardrum disease (tympanic membrane) using the certainty factor method at the M Yunus Regional General Hospital, Bengkulu City can be used as a container to help determine the diagnosis of eardrum disease based on the symptoms felt, and can make it easier for users to consult online via the link https://spakarmembrantimpanicf.site/. The expert system for diagnosing eardrum disease (tympanic membrane) using the certainty factor method at the M Yunus Regional General Hospital, Bengkulu City was created using the PHP programming language and MySQL database, which can be accessed online. Based on the black box method testing that has been carried out, it can be concluded that the functionality of the application has run well and this expert system can provide consultation results for the diagnosis of eardrum disease (tympanic membrane) through the Certainty Factor method stages based on the symptoms selected by the user during the consultation. Based on the alpha testing method testing that has been carried out, it can be concluded that this expert system is quite helpful for users in consultations and provides early detection information for the diagnosis of eardrum disease from the symptoms felt.]]>
<![CDATA[Analisis Kepuasan Pelanggan Menggunakan Algoritma C4.5 ]]>
<![CDATA[Adriansa, Mezi]]>;
<![CDATA[Yulianti, Liza]]>;
<![CDATA[Elfianty, Lena]]>
<![CDATA[ Jurnal Teknik Informatika UNIKA Santo Thomas Vol 7 No. 1 : Tahun 2022 ]]>
Publisher : <![CDATA[LPPM UNIKA Santo Thomas ]]>
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DOI: 10.54367/jtiust.v7i1.1983
<![CDATA[Gas Lpg merupakan bahan bakar yang ditetapkan pemerintah dan didistribusikan oleh oleh pangkalan untuk disalurkan kepada masyarakat, yang terkadang belum mengetahui tingkat kepuasan para pelanggan. Berdasarkan data yang di analisis pada tingkat kepuasan pelanggan dapat di ambil atribut berupa pelayanan, fasilitas dan kualitas produk yang dijual. Pada pangkalan Gas Elpiji 3kg Darmawati membutuhkan sistem analisis untuk mengetahui tingkat kepuasan para pelanggan. Analisis sistem yang dibuat menggunakan bahasa pemrograman visual basic 2010 dan metode yang digunakan yaitu Algoritma C4.5. Teknik pengambilan data yang didapat menggunakan metodologi observasi, wawancara, dan studi pustaka. Tahapan dalam sistem kepuasan dengan metode algoritma C4.5 yaitu pengambilan data pelanggan dan data atribut dari kuisioner, perhitungan nilai entropy dan gain, serta hasil kepuasan. Hasil yang diperoleh dari kuisioner yang dibagikan kepada 20 pelanggan terdapat 15 pelanggan dengan hasil puas dan 5 pelanggan dengan hasil tidak puas. Sehingga dari sistem yang dibuat dapat membantu pihak pangkalan untuk mengetahui tingkat kepuasan para pelanggan menggunakan sistem dengan metode algoritma C4.5]]>
<![CDATA[Perancangan Sistem Informasi Pelacakan Keluhan Pelanggan Berbasis Customer Relationship Management PDAM Bengkulu ]]>
<![CDATA[Mahdalena, Desi]]>;
<![CDATA[Yulianti, Liza]]>;
<![CDATA[Sedduantara, Sedduantara]]>
<![CDATA[ Jurnal Teknik Informatika UNIKA Santo Thomas Vol 8 No. 1 : Tahun 2023 ]]>
Publisher : <![CDATA[LPPM UNIKA Santo Thomas ]]>
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<![CDATA[This study aims to create an information system for tracking customer complaint through Customer Relationship Management in PDAM Bengkulu city to facilitate to track customer complaints submitted, see the progress of complaints whether it has not been processed, has been processed and completed in the process, and make it easy for the company to manage customer complaints and improve the relationships with customers. Data collection methods used were observation, interview and literature study. From the results of the research, the Customer Relationship Management information system in PDAM Bengkulu City can facilitate the customers to track complaints submitted, see the progress of complaints whether they have not been processed, have been processed and finished in the process, and make it easy for the company to manage customer complaints and improve relationships with customers. The results of testing the black box, 94% of customer complaint tracking information system can provide functions and benefits for the customers of PDAM Bengkulu city]]>
