Article Per Year (5 Year)
p-Index From 2021 - 2026
4.632
P-Index
This Author published in this journals
All Journal POSITIF Prosiding SI MaNIs (Seminar Nasional Integrasi Matematika dan Nilai-Nilai Islami) Ilmu Pendidikan: Jurnal Kajian Teori dan Praktik Kependidikan Jurnal Pilar Nusa Mandiri Indonesian Journal of Applied Statistics Desimal: Jurnal Matematika MUST: Journal of Mathematics Education, Science and Technology Adi Widya : Jurnal Pengabdian Masyarakat International Journal of Computing Science and Applied Mathematics Buana Matematika : Jurnal Ilmiah Matematika dan Pendidikan Matematika Jurnal Ilmiah Sinus Jurnal Karinov Jurnal PAUD: Kajian Teori dan Praktik Pendidikan Anak Usia Dini Square : Journal of Mathematics and Mathematics Education Jurnal Informa: Jurnal Penelitian dan Pengabdian Masyarakat Jurnal TIKOMSIN (Teknologi Informasi dan Komunikasi Sinar Nusantara) Journal of Mathematics Education and Science Indonesian Journal of Mathematics and Natural Science Education International Journal of English Linguistics, Literature, and Education (IJELLE) Postulat : Jurnal Inovasi Pendidikan Matematika Journal of Practical Computer Science (JPCS) prosiding seminar nasional Abdi Makarti Euclid International Journal of Trends in Mathematics Education Research (IJTMER) Journal of Technology, Mathematics and Social Science (J'THOMS) Jurnal Pengabdian Masyarakat Ilmu Komputer Indonesian Journal of Mathematics and Natural Science Education Jurnal Pengabdian Masyarakat Teknologi dan Pendidikan (MANTAP) Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA)
Retno Tri Vulandari
STMIK Sinar Nusantara
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Physics Social Sciences Other

Published : 60 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 60 Documents
Search

 2   3   4   5   6 
Sistem Informasi Pengelolaan Sumber Daya Manusia dengan System Development Life Cycle (SDLC) Vulandari, Retno Tri
Postulat : Jurnal Inovasi Pendidikan Matematika Vol 4 No 1 (2023): Juli 2023
Publisher : Universitas Muhammadiyah Gresik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30587/postulat.v4i1.5288

Abstract

Human resources (HR) are the only resources that have feelings, desires, skills, knowledge, encouragement, power, and work. All of these potential human resources affect the organization's efforts in achieving its goals. Advances in technology, development of information, availability of capital and adequate materials. Therefore, an HR information system is needed, in this study an information system was developed which has a function to archive data for lecturers, employees, identity archive data, education archive data, and training archive data. The purpose of developing this system is to make it easier for HR staff to manage HR archive data so that they can speed up data processing and produce information. The method used is the system development life cycle (SDLC), which has stages of planning, analysis, design, implementation of trials, and management. The programming language used is PHP and the database system uses MySQL. The results can display information about lecturer data, employee data, identity archive data, education archive data, training archive data, activity archive data and can be printed in the form of a recap in the form of a report.
SISTEM INFORMASI PENGELOLAAN STOK BARANG DENGAN MENGGUNAKAN METODE SINGLE EXPONENTIAL SMOOTHING Nugroho, Zulkifly Setyo; Vulandari, Retno Tri; Wijayanto, Hendro
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 12, No 2 (2024): Jurnal TIKomSiN Vol 12, No. 2 Oktober 2024
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v12i2.874

Abstract

Estimating sales quantity is an activity to estimate the amount of product sales by producers or distributors in a certain period of time and marketing area. Prediction of sales quantity is part of the management function as one of the contributors to the success of a company. Prediction of the quantity of product sales in the future is intended to control the number of existing product stocks, so that shortages or excess stock of products can be minimized. CV Kabul Jaya in managing stock of goods has problems, the problem is that the estimated shopping or stock of goods in the next period or the period of the following month does not match the reality or the actual demand for goods. This problem disrupts the company's financial cycle and can even suffer losses. The Single Exponential Smoothing method is a method used to estimate the number of goods in the future. This method is often used and has been proven to be able to estimate the amount of inventory in the future. In this study, the author makes a stock forecast information system at CV.Kabul Jaya using this method. The results of this study on one type of item using this method produce an estimate of goods in the period of the twelfth month at the smallest Mean Squared Error (MSE) value, namely at α 0.5 with an MSE value of 18.82 the resulting estimate for the item 58. This system has been created and has been tested for its validity and the result is that this system is suitable for use in estimating stock items.
Pengembangan Sarana Informasi dengan Video Profil di TK RA Hidayatullah Surakarta Tri Vulandari, Retno; Wijayanto, Hendro; Febrianto, R Arie; Remawati, Dwi; Lestari, Zannuba Anugrah Indah; Putri Pertiwi, Ina; Restu Utami, Widya; Mujirahayu Meyliana, Nirma
Jurnal Pengabdian Masyarakat Teknologi dan Pendidikan (MANTAP) Vol. 1 No. 2 (2024): Jurnal Pengabdian Masyarakat Teknologi dan Pendidikan (Jurnal Mantap)
Publisher : Redtech Putra Benua

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The development of information in Kindergarten RA Hidayatullah to be known to the public, it is necessary to make a profile video in the form of audio visual as a means of promotion so that the community will be able to easily receive information from Kindergarten RA Hidayatullah. It is hoped that after the profile video is made, it can give a positive story and as a means of promoting RA Hidayatullah Kindergarten which is easily accepted by the wider community. The data collection methods carried out include observation, interviews, and literature studies. By means of direct observation or survey at RA Hidayatullah Kindergarten, complete and accurate data will be obtained. In addition, the observation method has the advantage of being able to know clearly about the environmental conditions of RA Hidayatullah Kindergarten. This interview method is a data collection method carried out by providing questions in accordance with the video that will be done to the teacher who is responsible for delivering information about RA Hidayatullah Kindergarten. The purpose of the interview is to obtain the right information from trusted sources, then collect data by asking questions related to the theme of the thematic practice work being carried out. Literature study, collection and information as well as knowledge obtained from books about the theory concerned. The creation of this profile video is expected to make it easier to promote RA Hidayatullah Kindergarten and can be known by the wider community.
PERAMALAN HARGA TELUR AYAM DENGAN METODE EXPONENSIAL SMOOTHING WINTERS DI KABUPATEN SUKOHARJO Nugraheni, Ria Pertiwi; Rimawati, Elistya; Vulandari, Retno Tri
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 13, No 1 (2025): Jurnal Tikomsin
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v13i1.951

Abstract

Forecasting is the process of estimating future price trends based on historical price data. The price of rice and eggs in Sukoharjo Regency, based on data from Dinas Perdagangan, Koperasi, dan UMKM Sukoharjo from January 2016 to August 2019, has shown frequent fluctuations. To address this issue, an accurate forecasting method is needed to help predict future prices of rice and eggs, minimize price volatility, and assist in decision-making for both consumers and stakeholders. This study applies the Exponential Smoothing Winters method, a seasonal forecasting technique that incorporates level, trend, and seasonal components. A price prediction application was developed using the VB.NET programming language and SQL Server database. The application generates predictive calculations for rice and egg prices, complemented by graphical displays and report outputs. The results of the study show Mean Absolute Percentage Error (MAPE) values of 14.57% for broiler eggs and 6.74% for native chicken eggs. These results indicate that the method provides a relatively high level of accuracy.
Human Development Index Classification in Central Java Using the K-Nearest Neighbors Method for Data-Driven Policy Making Vulandari, Retno Tri; Harjanto, Sri
Journal of Practical Computer Science Vol. 5 No. 2 (2025): November 2025
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/jpcs.v5i2.5996

Abstract

Human development in Central Java continues to show positive progress, as reflected in the consistent increase of the Human Development Index (HDI) across the province. The HDI serves as a key indicator for assessing the success of initiatives aimed at improving the overall quality of life. It measures how well residents are able to access the benefits of development, including long and healthy lives, education, knowledge, and a decent standard of living. The HDI is influenced by four primary components: life expectancy, expected years of schooling, mean years of schooling, and per capita expenditure. Currently, the Central Bureau of Statistics determines HDI values for each regency and city in Central Java using a specific calculation formula. In this study, we aim to classify these regions into three categories based on their HDI levels: very high, high, and moderate estimate areas. To perform this classification, we applied the K-Nearest Neighbors (KNN) algorithm—an effective, non-parametric method that classifies data points based on the majority class among their nearest neighbors in the feature space. KNN is well-suited for classification tasks involving complex, real-world data, offering both accuracy and interpretability. The classification of the 2024 HDI data using KNN resulted in three distinct groups: Cluster 1 (moderate estimate) includes 18 regions: Cilacap, Banyumas, Purbalingga, Banjarnegara, Kebumen, Wonosobo, Magelang, Wonogiri, Grobogan, Blora, Rembang, Temanggung, Kendal, Batang, Pekalongan, Pemalang, Tegal, and Brebes. Cluster 2 (high estimate) consists of 13 regions: Purworejo, Boyolali, Klaten, Sukoharjo, Karanganyar, Sragen, Pati, Kudus, Jepara, Demak, Semarang Regency, Kota Pekalongan, and Kota Tegal. Cluster 3 (very high estimate) comprises 4 urban areas: Kota Magelang, Kota Surakarta, Kota Salatiga, and Kota Semarang. This classification provides valuable insights into regional development disparities and can support evidence-based planning and policy-making.
The Application of Non-linear Cubic Regression in Rice Yield Predictions Vulandari, Retno Tri; Wijayanto, Hendro; Lathofy, Afan
Desimal: Jurnal Matematika Vol. 3 No. 3 (2020): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v3i3.6580

Abstract

The rice yields have fluctuated in Wonogiri Regency. This occasion happened in 2016-2018. Therefore, a prediction is needed to know whether rice yields will increase or decrease in the following year. The purpose of this study was to apply the polynomial non-linear regression method of third-degree in predicting rice yields. This study utilized the Unified Modeling Language (UML) as the system design, black-box testing as the functional testing, and MSE testing as the validity testing. The computed data was data of 2016-2018. The results showed that the prediction of 2017-2019 using the harvested area model produced more accurate calculations. The harvested area model produced the same MSE value in manual and application calculations, which were 405433,1349 in 2017, 312677,7798 in 2018, and 171183.6347 in 2019. The polynomial non-linear cubic regression is a solution to predict rice yields. The output of the application is the prediction information for rice yields
Detection of H1N1 Sequence Alignment with Basic Local Alignment Search Vulandari, Retno Tri; Harjanto, Sri
Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) Vol. 1 No. 2 (2024): Journal of Information Technology, Computer Engineering and Artificial Intellig
Publisher : Redtech Putra Benua

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Bioinformatics is a science that studies the management and analysis of biological information. Bioinformatics includes application of mathematics, statistics, and informatics to biological problems to solve. Bioinformatics can store data generated by the genome project with regular and high degree of accuracy. Basic local alignment search is one of the methods used to process penyejajaran molecular data sequences. In 2009, there is a virus that attacks the respiratory tract that is the swine flu. The virus is spread around the world, so that retrieved the journal research on diverse virus DNA sequences in different endemic countries. Therefore, in this study will be explained about the process sequence alignment of the H1N1 swine flu virus. H1N1 Weiss AF 250365.2 and H1N1 Swine AF250364.2 have 90% similarity level.
PENERAPAN METODE K-MEANS CLUSTERING UNTUK PENGELOMPOKAN SISWA BERDASARKAN PRESTASI DI SD N 03 SANGGANG SUKOHARJO Restyanto, Dika; Sandradewi, Kumaratih; Vulandari, Retno Tri
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 13, No 2 (2025): Jurnal Tikomsin, Vol 13, No.2, Oktober 2025
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v13i2.1007

Abstract

The rapid advancement of data science has made data processing a critical requirement across various fields, including education. Educational institutions are increasingly required to leverage available resources and information systems to enhance competitiveness and support strategic decision-making. Student achievement is generally assessed through both theoretical and practical subjects; however, determining achievement groups (very good, good, sufficient) often lacks efficiency, limiting early identification by homeroom teachers. This study applies the K-Means Clustering method to classify students' achievement levels at SD N Sanggang 03. The objective is to develop a system that assists teachers in grouping students based on performance categories—very good, good, and sufficient—thereby supporting data-driven decision-making in academic evaluation. The system was implemented using PHP and MySQL, with evaluation employing the Modified Partition Coefficient to measure clustering quality.
The The Impact of Using Tutorial Videos Uploaded on Youtube Platform toward the Students’ Learning Motivation and Their English Learning Outcomes Pravitasari, Suryanti Galuh; Vulandari, Retno Tri
International Journal of English Linguistics, Literature, and Education (IJELLE) Vol. 5 No. 02 (2023)
Publisher : Universitas Veteran Bangun Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research was aimed at finding out whether the use of tutorial videos uploaded on the YouTube platform can increase the learning outcomes and the learning motivation of the students. This research was categorized into quantitative experimental design types by providing a pretest before giving the students treatment using tutorial videos uploaded on YouTube during the teaching and learning process and a post-test after the treatment. The object of the research was the third-semester students of STMIK Sinar Nusantara Surakarta who were taking English III which was designed for the TOEFL Preparation Test. The 60 respondents were selected by using a simple random sampling technique. The data collection was taken from the results of the pre-post tests and the result of the questionnaire concerning the students’ learning motivation using the tutorial media on YouTube and their opinions about the videos. The average score of the pre-test was 61 while the average score of the post-test was 82. Therefore it can be concluded that the use of the tutorial video uploaded on Youtube is considered effective in helping the students to increase their learning outcomes. Meanwhile, the use of tutorial videos uploaded on Youtube has a regression coefficient value of 0.306 which means that it has a positive influence on Learning Motivation. Therefore, it can be concluded that learning English for TOEFL's Grammar test preparation by watching tutorial videos on Youtube is effective to increase the student’s English learning motivation hence increasing their learning outcomes.
IMPLEMENTASI METODE DOUBLE EXPONENTIAL SMOOTHING PADA PREDIKSI JUMLAH PRODUK UMKM Dorestin, Nacita Agnes; Vulandari, Retno Tri; Saptomo, Wawan Laksito Yuly; Widada, Bebas; Wijayanto, Hendro
Journal of Technology, Mathematics and Social Science Vol. 3 No. 2 (2023): Desember 2023
Publisher : IKIP PGRI Bojonegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30734/j'thoms.v3i2.3711

Abstract

Y2K Batik is an SME (Small and Medium Enterprise) engaged in batik. Y2K Batik produces and sells beach wear with various motifs. One of the important things in business is inventory of merchandise, inventory of merchandise is a factor in determining the success of a trading company to achieve its goals, because the goods sold affect the level of income to increase company profits. With these considerations, it is necessary to analyze the production of beach wear for the availability of merchandise in fulfilling customer orders. Based on the above background, the scope of the problem in this study is master data collection obtained from records of selling beach batik cloth periodically from time to time. By utilizing the existing data and applying certain methods, a sales forecasting prediction can be made using the Double exponential Smoothing method. From the results of calculations and testing of forecasting data on the Mandala Motif Beach Fabric variable with the most optimal value using = 0.9 of 2127 with an error value of 19.46% and an accuracy rate of 80.54% (Good). The Canting Motif Beach Wear variable with the most optimal value using = 0.9 of 3174 with an error value of 3.61% and an accuracy rate of 96.39% (Very Good). Double Exponential Smoothing is the most widely used method to determine the trend equation of the second smoothing data through a smoothing process. The programming language uses Microsoft Visual Studio 2013 and the DBMS uses Microsoft SQL Server 2012. The purpose of this research is to create a system that can simplify the process of analyzing the production of beach wear in order to meet the availability of goods ordered by customers
Co-Authors Afan Lathofy Ahmad Samawi Al Fiyan Nizaela F Andriani Kusumaningrum Bayu Tristanto Bebas Widada Bebas Widada Bebas Widada Bebas Widada Bentar Putra Pamungkas Danar Wijaya Aditama Dhian Dwi Hermawan Dhian Dwi Hermawan Didik Nugroho Dorestin, Nacita Agnes Dwi Handoko Dwi Handoko Dwi Rema wati Dwi Remawati Dwi Tri Laksono Eny Nur Aisyah Erinsyah Aditya Nugroho Putro Fadel Thoriq Nur Muhammad Febriyanti, Renita Hakam Febtadianrano Putro Hendro Wijayanto Hendro Wijayanto Heri Setyawan Hermawan, Dhian Dwi I Made Seken Kumaratih Sandradewi Kustanto, Kustanto Kusumaningrum, Andriani Kusumawijaya, Andriani Kusumaningrum Lathofy, Afan Lestari, Zannuba Anugrah Indah Mita Purwati MUHAMMAD HASBI Muhammad Hasbi Muhammad Yusuf Mujirahayu Meyliana, Nirma Nacita Agnes Dorestin Nacita Agnes Dorestin Nugraheni, Ria Pertiwi Nugroho, Zulkifly Setyo Nur Fitrina Parwitasari, Tika Andarasni paulus harsadi Pravitasari, Suryanti Galuh Putri Pertiwi, Ina R Arie Febrianto Ragil Prasojo Raharja, Bayu Dwi Restu Utami, Widya Restyanto, Dika Ria Pertiwi Nugraheni Rimawati, Elistya Sakti, Dicky Cahyono Saptomo, Wawan Laksito Yuly Setiyowati Setiyowati Setiyowati Setiyowati Setiyowati Setiyowati Setiyowati Sri Hariyati Fitriasih Sri Harjanto Sri Harjanto Sri Harjanto Sri Siswanti Sumanto Suryadi Suryadi Sutrima Sutrima Teguh Susyanto Teguh Susyanto Tika Andarasni Parwitasari Tri Irawati, Tri Tristanto, Bayu Usep Kustiawan W, Yustina Retno Waskitho, Anggit Widhi wati, Dwi Rema Wawan Laksito YS Wawan Laksito Yuly Saptomo Widada, Bebas Wijayanto, Hendro Wuri Astuti Yehoshua Yehoshua Yustina Retno W Yustina Retno Wahyu Utami