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All Journal Jurnal Media Infotama JURNAL MEDIA INFORMATIKA BUDIDARMA JurTI (JURNAL TEKNOLOGI INFORMASI) JOURNAL OF SCIENCE AND SOCIAL RESEARCH JSAI (Journal Scientific and Applied Informatics) E-Link: Jurnal Teknik Elektro dan Informatika IJPD (International Journal Of Public Devotion) GATOTKACA Journal (Teknik Sipil, Informatika, Mesin dan Arsitektur) Jurnal PADAMU NEGERI (Pengabdian pada Masyarakat Bidang Eksakta) Jurnal Dehasen Untuk Negeri Jurnal Media Computer Science Journal of Innovation Research and Knowledge Jurnal Komputer Indonesia Jurnal Gotong Royong Jurnal Komputer Jurnal Komputer, Informasi dan Teknologi
Liza Yulianti
Universitas Dehasen Bengkulu
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Nursing Physics Public Health Social Sciences Transportation Other

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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 Dari, Erika Dwi Ulan; Yulianti , Liza; Prahasti , Prahasti
Jurnal Komputer Indonesia Vol. 1 No. 1 (2022): Juni
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jki.v1i1.28

Abstract

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. .
The Implementation of SAW Method in Applying Employees Leave At The Regional Secretariat Office Of Bengkulu Zuhri, M. Khoiruddin; Yulianti , Liza; Supardi , Reno
Jurnal Komputer Indonesia Vol. 1 No. 1 (2022): Juni
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jki.v1i1.29

Abstract

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.
The Implementation of SAW Method in Applying Employees Leave At The Regional Secretariat Office Of Bengkulu Zuhri, M. Khoiruddin; Yulianti , Liza; Supardi , Reno
Jurnal Komputer Indonesia Vol. 1 No. 1 (2022): Juni
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jki.v1i1.29

Abstract

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.
IMPLEMENTASI SISTEM PEMETAAN LOKASI STOK DARAH BERBASIS ANDROID MENGGUNAKAN METODE LOCATION BASED SERVICE DI BENGKULU Jaswan, Mali; Yulianti, Liza; sapri, sapri
Jurnal Media Infotama Vol 18 No 2 (2022): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v18i2.2731

Abstract

ABSTRAC Blood donation is the process of voluntarily giving blood for the purpose and purpose of blood transfusion for other people in need. The process of delivering information related to blood stock, the public must always visit PMI, so it is inefficient and less effective. Many want to stock up blood to help others, but because of the lack of information, people don't know how to find out the location of existing blood stocks. The result of this research is a blood stock application that is able to provide blood bag stock data, as well as blood stock information. This makes it easier for users to find information about the method, place, and requirements for blood stock so that it is hoped that the public (users) who need blood supply information can access accurate and reliable information that has been presented by the PMI or UTD concerned. Keywords: blood stock, PMI, android, application
IMPLEMENTASI METODE SMART DALAM SISTEM PENDUKUNG KEPUTUSAN PELANGGARAN TATA TERTIB SISWA Setiaji, Ganang; Yulianti, Liza; Yupianti, Yupianti
Jurnal Media Infotama Vol 18 No 2 (2022): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v18i2.2814

Abstract

ABSTRACT: SMAN 4 Bengkulu City is a school that has many students in the Bengkulu City environment. SMA Negeri 4 Bengkulu City has several rules and regulations that must be obeyed by all students but not infrequently these rules and regulations are violated by some students. This study aims to design a decision support system for sanctions for violating student rules using the Simple Multi Attributte Rating Technique (SMART) method. The system that will be designed has several weighted assessment and summation criteria for each alternative on each attribute or existing violation criteria. Any violations committed by students can be processed quickly and accurately with predetermined sanctions and actions, have the same calculations between manual calculations and calculations on the system so that they can assist BK teachers in the reporting process to the principal at SMA Negeri 4 Bengkulu City. It is hoped that this application will be able to use this application in determining violations of rules and regulations in Bengkulu, as well as the maintenance of applications that the writer has previously made so that in the future it can be used by SMA Negeri 4 Bengkulu City. Keywords: Decision Support System, SMART, Violation of Rules.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN SISWA BERPRESTASI MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) PADA SMK NEGERI 03 KOTA BENGKULU Cahyani, Lindry Dwi; Yulianti, Liza; Fredricka, Jhoanne
Jurnal Media Infotama Vol 20 No 1 (2024): April 2024
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i1.5330

Abstract

In a school, the ranking of outstanding students is usually only chosen based on their final grades, and this is also the case at SMK 03 Bengkulu City. The selection of outstanding students at SMK 03 Bengkulu City is only based on report card scores which are ranked 1 to 5. In the selection process, there are many opportunities for making wrong decisions because the student selection process is only based on one aspect, namely the student's final grade, while the attitude and achievement scores obtained outside of school are not taken into consideration as additional criteria for determining students who are considered to be successful and get scholarship. This means that it is very likely that the selected outstanding students do not reach the desired standards which does not get the best candidates. The purpose of this research is as an alternative way for schools to determine outstanding students so that it is not only based on academic scores, and there is no cheating in selecting outstanding students. The method used in this research is Simple Additive Weighting (SAW) method. The results of this research show that SAW method can provide the best results from the criteria and weights that have been determined. From the results of calculations using the SAW method, a student named Ceci Dinda Trangilang obtained a preference value of 0.96
Sistem Pakar Untuk Mendiagnosa Gangguan Skizofrenia Menggunakan Metode Dempster Shafer Cahyani, Cendi Nur; Yulianti, Liza; Lianda, Deri
Jurnal Media Infotama Vol 20 No 1 (2024): April 2024
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i1.5372

Abstract

The development of Science and Information Technology is currently increasingly rapid, making it easier for all elements of society to use data and information quickly and accurately, one of which is using expert systems. This study aims to create an expert system for diagnosing schizophrenia, because schizophrenia is one of the mental disorders with the most patients at the Soeprapto Bengkulu special mental hospital. This expert system uses the Dempster Shafer method, a mathematical theory based on functions or belief values that is used to combine and calculate the probability of a phenomenon. This application can be accessed by patients through the registration room so that staff and patients can quickly carry out consultations without waiting for a doctor and it is hoped that it can be used by patients in early diagnosis to prevent more serious diseases. This system is designed using the PHP programming language and MySQL database,therefore the resulting expert system is able to help patients diagnose schizophrenia as well as provide fast and precise solutions to the disease they are experiencing.
PENERAPAN METODE CLUSTERING K-MEANS DALAM PENGELOMPOKKAN JUMLAH PENGUNJUNG PADA DINAS PERPUSTAKAAN DAN KEARSIPAN PROVINSI BENGKULU Ninti Putriani; Liza Yulianti; Rizka Tri Alinse
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 6, No 3 (2023): October 2023
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v6i3.1444

Abstract

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
The Utilization Of Weather Radar Data For Weather Early Warning In Bengkulu Province Using K-Means Method Gragrista M, Avelyn; Yulianti , Liza; Kanedi , Indra
Jurnal Komputer Vol 1 No 1 (2022): Juli-Desember
Publisher : CV. Generasi Insan Rafflesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70963/jk.v1i1.8

Abstract

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.
Perbandingan Metode Sequential Searching Dan Metode Turbo Boyer Dalam Pencarian Data Siswa Di Sekolah Cahyono, Trisna; Yulianti , Liza; Yupianti
Jurnal Komputer Vol 1 No 2 (2023): Januari-Juni
Publisher : CV. Generasi Insan Rafflesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70963/jk.v1i2.54

Abstract

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
Co-Authors Abdussalam Al Akbar Afes Agustianza Aji Sudar sono Aji Sukmo Alinse, Rizka Tri Amelia Amelia Annisa Dwi Putri Annisa Putri Pratiwi Apriani, Denny Ardiansyah, Rivaldo Dwi Asnawati Asnawati Asnawati Asnawati Ayu Mayang Sari Belyna Novellya Cahyani, Cendi Nur Cahyani, Lindry Dwi Cahyono, Trisna Dani, Ragil Fadilla Rahma Dari, Erika Dwi Ulan Destika Rinanda Devi Sartika Devi Sartika Dewangga, Danang Wisnu Dewi Suranti Edy Hermansyah Eko Putra Membara Eko Suryana Eko Suryana Elfianty , Lena Ema Sastri Puspita Epan Susandi Ernawati Ernawati Feri Hari Utami Feri Hari Utami Fezi Fadwa Rendika Fredricka, Jhoanne Fredricka, Jhoanne Gragrista M, Avelyn Hari Aspriyono Hastuti, Silvia Wahyu Herlina Latipa Sari Ila Yati Beti Indra Kanedi Irfan Wendiyansa Irvan Ciantury Jaswan, Mali Jayanda, Prengky Jepri Haji Utama Juju Jumadi Juju Jumadi Juju Jumadi Jumiati Siska Kanedi , Indra Kanedi, Indra Kanedi Kemas Muhammad Fadli Lena Elfianty Lianda, Deri Liza Yulianti M. Iqbal Syahputra Maryaningsih Maryaningsih Muhammad Kristiawan Ninti Putriani Prahasti Prahasti , Prahasti Pransiska, Yance Prara Sindia Citra Tessa Pratama, Yoga Anugra Pratama, Yolan Agung Ragil Fadilla Rahma Dani Reno Supardi Reno Supardi Rita Nilawati Rizka Tri Alinse Robi Saputra Rodi Rodi Saika Damaiyanti Sallaby, Achmad Fikri Sapri Sapri Saputra, Robi Sari, Tengsi Mayang Nopita Sartika , Devi Setiaji, Ganang Silvia Wahyu Hastuti Tengsi Mayang Nopita Sari Tessa, Prara Sindia Citra Tito Irwanto, Tito Toibah Umi Kalsum Trianggana, Dimas Tri Vobey Alex Sander Wahyuni, Mera Wijaya, Ermy Yanolanda Suzantri H Yuisar Yuisar Yupianti Yupianti Yupianti Yupianti, Yupianti Zuhri, M. Khoiruddin