Garuda - Garba Rujukan Digital

p-Index From 2020 - 2025

2.811

P-Index

This Author published in this journals

All Journal Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Jurnal Informatika Jurnal Teknologi dan Sistem Komputer SINTECH (Science and Information Technology) Journal JURTEKSI JOURNAL OF SCIENCE AND SOCIAL RESEARCH Indonesian Journal of Engineering Research Jurnal Abdi Masyarakat Indonesia Jurnal Komputer, Informasi dan Teknologi Jurnal Dehasen Untuk Negeri Jurnal Media Computer Science

Yupianti, Yupianti

Universitas Dehasen Bengkulu

Author-ID : 2568562

Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering Public Health Social Sciences Other

Published : 22 Documents Claim Missing Document

Claim Missing Document

Articles

1 2 3

Sistem Pendukung Keputusan Calon Penerima Program Keluarga Harapan (PKH) Di Dinas Sosial Kota Bengkulu Menggunakan Metode Topsis Erlita Erlita; Indra Kanedi; Feri Hari Utami; Asnawati Asnawati; Yupianti Yupianti
Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Vol 12, No 1 (2021): Juni
Publisher : Universitas Bandar Lampung (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/jsit.v12i1.1853

Sistem Pendukung Keputusan Jumlah Penerima PKH di Dinas Sosial Kota Bengkulu Menggunkan Metode Topsis adalah sebagai berikut Untuk memberikan informasi tentang pengambilan keputusan dengan sesuai kriteria menggunakan metode Topsis sehingga bisa menjadi tolak ukur dalam pengambilan keputusan, Dengan metode ini dapat mempermudah dalam pencarian data yang akurat sebanyak apapun responden yang akan diusulkan berdasarkan kriteria maka sistem akan melacak dan memberikan keputusan yang tepat. Tujuan yang hendak dicapai dalam penelitian ini adalah membuat implementasi algoritma Sistem Pendukung Keputusan Jumlah Penerima Kis PBI Didinas Sosial Kota Bengkulu Menggunkan Metode Topsis, Bagi pembaca diharapkan dapat memperluas wawasan, pengetahuan terhadap perkembangan ilmu Sistem Pendukung Keputusan Jumlah Penerima Kis Pbi Didinas Sosial Kota Bengkulu Menggunkan Metode Topsis, Adapun kesimpulan yang dapat diambil dari penelitian Sistem Pendukung Keputusan Jumlah Penerima PKH di Dinas Sosial Kota Bengkulu Menggunkan Metode Topsis adalah sebagai berikut : Pengambilan keputusan dengan sesuai kriteria menggunakan metode Topsis sehingga bisa menjadi tolak ukur dalam pengambilan keputusan, Dengan metode ini dapat mempermudah dalam pencarian data yang akurat sebanyak apapun responden yang akan diusulkan berdasarkan kriteria maka sistem akan melacak dan memberikan keputusan yang tepat, Mempermudah admin melakukan pencarian dalam berdasarkan bobot dan kreteria, Pada sistem baru ini akan dirancang Sistem Sistem Penerima PKH di Dinas Sosial Kota Bengkulu berbasis Web menggunakan php dan mysql, Metode yang digunakan pada kegiatan penulisan skripsi dan penelitian ini dengan mengunakan metode pengumpulan data, analisa dan perencangan serta implementasai yang dilakukan pengumpulan data, analisa sistem, perancangan, implementasi, dan pengujian

ANALISIS KEPUASAN MAHASISWA TERHADAP LAYANAN KEUANGAN UNIVERSITAS Dewi Suranti; Yupianti Yupianti; Herlina Latipa Sari
Jurnal Informatika Vol 21, No 2 (2021): Jurnal Informatika
Publisher : IIB Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/ji.v21i2.2990

Dalam meningkatkan kualitas pelayanan kepada mahasiswa perguruan tinggi secara terus menerus berupaya meningkatkan pelayanan guna memenuhi kepuasan mahasiswa. Universitas berkomitmen untuk memberikan pelayanan yang baik kepada mahasiswa. Hal ini dilakukan untuk memenuhi harapan mahasiswa terkait pelayanan yang menjadi hak mahasiswa. Dengan cara ini, pihak Universitas berharap mendapatkan hal-hal yang perlu dievaluasi sesuai dengan tolak ukur yang telah ditetapkan oleh pihak universitas. Pentingnya melihat penilaian mahasiswa merupakan salah satu faktor utama bagi perguruan tinggi untuk meningkatkan kualitas pelayanan yang diberikan. Penelitian ini menggunakan metode Pieces untuk mengukur baik buruknya nilai variabel yang diterapkan dalam kualitas pelayanan dengan variabel (Performance, Information, Economics, Control and Security, Efficiency dan Service). Tujuannya untuk mengetahui tingkat kepuasan mahasiswa terhadap pelayanan yang diberikan oleh Univeritas di bidang keuangan. Hasil dari penelitian dapat disimpulkan bahwa metode PIECES sangat efektif karena menganalisa sistem pervariabel sehingga layanan dapat dievaluasi lebih detail. Berdasarkan hasil rekapitulasi penilaian terlihat keseluruhan variabel memperoleh nilai akhir3,8, ini menunjukan seluruh variabel PIECES mendapat kategori penilaian puas, sehingga bisa dikatakan loyalitas layanan berperan dengan baik dalam meningkatkan kualitas pelayanan. Dengan adanya analisis ini diharapkan dapat memberikan gambaran pada universitas dalam melihat nilai setiap bidang layanan dalam memberikan pelayanan berdasarkan indikator performance, indikator information, indikator economis, indikator control, indikator efficiency dan indikator services.

Implementasi fuzzy servqual dalam evaluasi kualitas pelayanan penyuluh pertanian Dewi Suranti; Yupianti Yupianti
Jurnal Teknologi dan Sistem Komputer Volume 7, Issue 4, Year 2019 (October 2019)
Publisher : Department of Computer Engineering, Engineering Faculty, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jtsiskom.7.4.2019.147-153

This study aims to measure the quality of service of agricultural extension workers at the UPT. BPP Sukaraja uses the fuzzy service quality (servqual) method by grouping question attributes into five service dimensions criteria, namely the dimensions of tangibles (direct evidence), reliability (responsibility), responsiveness, assurance, and empathy. The study showed that the value of the gap that requires the priority of improvement and improvement in service quality is the dimension of Tangibles with a negative gap value of -0.45 that means that the expectations of farmers are still not achieved. The customer satisfaction index is 87.93%, which means farmers are satisfied with the services provided. The study can be a motivation to improve the quality of service to farmers for UPT BPP Sukaraja.

I IMPLEMENTASI METODE BAYES DALAM EVALUASI KEPUASAN MAHASISWA TERHADAP LAYANAN UNIVERSITAS Dewi Suranti; Yupianti Yupianti; Venny Novita Sari
SINTECH (Science and Information Technology) Journal Vol. 4 No. 1 (2021): SINTECH Journal Edition April 2021
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v4i1.569

Student satisfaction towards services is a priority for each tertiary institution to improve the quality that is demanded by students. To improve the quality of education, universities must provide services provided to students. Dehasen University (Unified) Bengkulu promised to improve the quality standards of education and continue to improve and improve dissatisfaction in meeting student expectations. This is done to improve the quality standards of education and meet student expectations related to services that are the rights of students. By understanding the level of satisfaction of students, universities can improve performance in carrying out their duties and take responsibility for the quality of education, thus increasing the quality of services that can be improved. This study uses Bayes study, which is a classification method using probability and statistical methods based on the Bayes theorem. The aim is to implement Bayes to support student satisfaction with universities that support the following fields: Student Affairs, Library, Academic and Student Administration Bureau (BAAK), Facilities and infrastructure and finance. The results of this method produce Administrative and Academic Bureau services and financial services obtain Very Good satisfaction levels with a total service value of 12,183 with an excellent threshold value of 12,042 and a total service value of 9,413 with an excellent threshold value of 9,375. And the level of student satisfaction with the level of service is good, because the total value of results is 49,769 while the threshold is very good is 50,001 this means the total results below the threshold value is very good.

Decision Support System in Scholarship Acceptance Selection Using The Vikor Method Venny Novita Sari; Feri Hari Utami; Asnawati; Yupianti; Rizka Tri Alinse; Jhoanne Fredricka
Indonesian Journal of Engineering Research Vol 2 No 2 (2021): Indonesian Journal of Engineering Research
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/10.11594/ijer.02.02.03

This study aims to apply the vikor method in the selection of scholarship receipts at Bengkulu Dehasen University. Designing the process by describing how the VIKOR (Visekriterijumsko Kompromisno Rangeranje) method should be used based on criteria (indications, achievements, credits and living expenses) fulfilled by prospective scholarship recipients in accordance with the provisions of Dehasen Bengkulu University in selecting scholarship acceptance. Based on the results obtained it can be proven that the condition of Acceptable stability in decision making is fulfilled (Namely a smaller value than 1) and Intan P Can be proposed to be a compromise solution which is the best ranking of scholarship recipients ranking by this VIKOR (Visekriterijumsko Kompromisno Rangeranje) method.

The Implementation of Data Mining to Get The Pattern for Selecting Students' Thesis Title Vobey Alex Sander; Liza Yulianti; Yupianti Yupianti
Jurnal Komputer, Informasi dan Teknologi (JKOMITEK) Vol. 1 No. 2 (2021): DESEMBER
Publisher : Penerbit ADM

Management Study Program is one of the study programs at the Faculty of Economics, The University of Dehasen Bengkulu. Every academic year, students who have fulfilled the credits or are in semester 6 or 7, submit a file for submission of titles to the staff of the study program, then the Head of Study Program will check related to the title submitted, if possible and in accordance with the disside of science, the title is issued will approved and the study program will appoint supervisor 1 and supervisor 2 from the student concerned. The application of the pattern for selecting students’ thesis titles at the Management Study Program, Faculty of Economics, The University of Dehasen Bengkulu was made using the Visual Basic .Net programming language and SQL Server 2008r2 database. In the application, the Levenstein Distance Algorithm has been applied to the new title submission form, where a comparison will be made against previously accepted titles that have been stored in the database. The title is accepted if the similarity level is below 50%, while the title is Rejected if the similarity level is above 50%. Based on the trial for submitting a new title, the application is able to provide information on whether the title is accepted or Rejected based on the Levenstein Distance Algorithm approach. Based on the results of the tests that have been carried out, the functionalities of the application run as expected and the application is able to display the results of the analysis through the stages of the Levenstein Distance Algorithm for the submission of new titles.

Comparative Study of Tsukamoto and Sugeno's Method in Determining Total Demand Based on Sales and Inventory (Case Study of Duta Ponsel Sukamerindu) Rio Sefrin Alfa Meta; Yupianti Yupianti; Rina Julita
Jurnal Komputer, Informasi dan Teknologi (JKOMITEK) Vol. 1 No. 2 (2021): DESEMBER
Publisher : Penerbit ADM

Duta Ponsel is one of the largest stores in Bengkulu City that sells various kinds of smartphones and accessories according to the type of smartphone. Duta Ponsel has implemented information technology in its store business therefore it can facilitate data processing and sales of goods. However, the application is only limited to data management. In fact, these data can help support the sales strategy at Duta Ponsel. This comparison application of the Tsukamoto Method and the Sugeno Method can predict the number of requests for smartphone accessories by entering the amount of inventory and the number of sales. In this application, the processing time that occurs in Fuzzy Tsukamoto and Fuzzy Sugeno has been integrated, making it easier to see the comparison between the two methods. Comparative study of Tsukamoto Method and Sugeno Method in Determining Total Demand Based on Sales and Inventory at Duta Ponsel Sukamerindu seen from 2 (two) aspects of comparison, namely the final result of demand prediction and processing time. To assist the comparison process, an application was built using the Visual Basic .Net programming language with SQL Server 2008r2 database. Based on the results of the tests that have been carried out, the application is able to display comparative information between the Tsukamoto Method and the Sugeno Method through 2 (two) aspects, namely the final result of demand prediction and processing time. Based on the processing time, the Sugeno Method is faster than the Tsukamoto Method

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 (JKOMITEK) Vol. 1 No. 2 (2021): DESEMBER
Publisher : Penerbit ADM

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.

Implementation of the Turbo Boyer Moore Algorithm in Searching Medical Record Data Victor Yonathan Gultom; Yupianti Yupianti; Prahasti Prahasti
Jurnal Komputer, Informasi dan Teknologi (JKOMITEK) Vol. 1 No. 2 (2021): DESEMBER
Publisher : Penerbit ADM

The Patient Medical Record Data Search application is used to assist the Bintunan Air Treatment Health Center in finding medical record data with faster time efficiency, where so far the search is still done manually by looking at the books. The Patient Medical Record Data Search application is used to assist the Puskesmas in managing patient data, doctor data and patient medical record data every time for treatment, so that the processed data is stored in the application database. Applications for Searching Patient Medical Record Data at the Bintunan Air Treatment Health Center have implemented one of the search algorithms, namely the Turbo Boyer Moore algorithm, where the search process is carried out per string / word through a shift in data matching between keywords and data in the database. Based on the results of black box testing, the functionality of the Patient Medical Record Data Search Application at the Bintunan Water Treatment Health Center has been running properly and is able to display medical record search results using the Turbo Boyer Moore Algorithm.

Comparison of the Preference Selection Index (PSI) Method with the Simple Additive Weight (SAW) Method in The Selection of the Best Foreman at PT. Agro Muko Nurul Husna; Yupianti Yupianti; Reno Supardi
Jurnal Komputer, Informasi dan Teknologi (JKOMITEK) Vol. 1 No. 2 (2021): DESEMBER
Publisher : Penerbit ADM

PT. Agro Muko is a Foreign Investment Company engaged in oil palm and rubber plantations. Administratively, PT. Agro Muko is located between several sub-districts, namely North Mukomuko, South Mukomuko, Lubuk Pinang, Teras Terunjam, Pondok Suguh, V Koto, Penarik, Selagan Jaya, Air Dikit and Teramang Jaya Sub-Districts, Bengkulu Regency. For this reason, the researcher tried to build an application that compares the Preference Selection Index (PSI) Method with The Simple Additive Weight (SAW) Method on the selection of the best foreman using the Preference Selection Index (PSI) method using Visual Basic Net, in order to facilitate PT Agro muko in the selection of the best employee every year. Based on the results of the study, the comparison application of the Preference Selection Index (PSI) method with the Simple Additive Weight (SAW) method on the Best Foreman Selection at PT Agro Muko was made using Visual Basic Net programming language with SQL server database as a supporting medium, storing the results of data processing that can be used. used by PT Argo Muko in inputting employee data, so that later it can help in overcoming existing problems so that the process of selecting the best foreman can be done using the application.

Co-Authors Asnawati Asnawati Bela Oktavia Dewi Maharani Dewi Suranti Edison Edison Eko Suryana Erlita Erlita Feri Hari Utami Feri Hari Utami Fredricka, Jhoanne Hari Aspriyono Herlina Latipa Sari Juju Jumadi Kanedi, Indra Kanedi Lena Elfianty Liza Yulianti Lola Eris Monika Lucy Dwi Febyanto Novyar Roly Antwo Nurul Husna Pardi Hardianto Prahasti Prahasti Prahasti Reno Supardi Ridwan Ridwan Rina Julita Rinto Diantara Rio Sefrin Alfa Meta Rizka Tri Alinse Salu Zerwina Satrio Candiago Siswanto Siswanto Siswanto Siswanto Siswanto Siswanto syisva nurwita Tara Aprilinda Tommy Suriatno Venny Novita Sari Victor Yonathan Gultom Vobey Alex Sander Zuryanto Zuryanto

Title Search

Found 22 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 22 Documents
Search