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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 Desimal: Jurnal Matematika MUST: Journal of Mathematics Education, Science and Technology Adi Widya : Jurnal Pengabdian Masyarakat 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) Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Jurnal Pengabdian Masyarakat IPTEK Postulat : Jurnal Inovasi Pendidikan Matematika Journal of Practical Computer Science (JPCS) prosiding seminar nasional Abdi Makarti Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) Euclid International Journal of Trends in Mathematics Education Research (IJTMER) Journal of Technology, Mathematics and Social Science 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) International Journal of Computing Science and Applied Mathematics-IJCSAM
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 Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Physics Social Sciences Other

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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
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

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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
Transformasi Ekonomi Desa melalui Digital Marketing Pemuda Pelopor Desa Banyuanyar Kabupaten Boyolali Sutanto; Vulandari, Retno Tri; Intan Rofiah; Fadila, Fatin; Rahmatika; Sulistiyowati, Amin
Jurnal Pengabdian Masyarakat IPTEK Vol. 6 No. 1 (2026): Edisi Januari 2026
Publisher : STMIK Triguna Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/abdi.v6i1.12230

Abstract

Pemanfaatan digital marketing di kalangan pemuda desa masih terbatas karena kurangnya pengetahuan dan keterampilan dalam branding serta pengelolaan media sosial. Padahal, Desa Banyuanyar, Kabupaten Boyolali memiliki potensi usaha lokal yang dapat berkembang melalui pemasaran digital yang tepat. Oleh karena itu, program pengabdian ini penting untuk meningkatkan kapasitas pemuda pelopor dalam mengoptimalkan strategi pemasaran digital guna mendukung pengembangan ekonomi desa secara berkelanjutan. Program pengabdian dilaksanakan melalui empat tahap: (1) Identifikasi Permasalahan melalui survei awal untuk mengetahui kendala peserta; (2) Pelatihan dan Workshop tentang konsep digital marketing, branding, strategi media sosial, dan penggunaan marketplace; (3) Pendampingan dan Implementasi strategi pada usaha masing-masing peserta; serta (4) Evaluasi Hasil untuk mengukur dampak program. Hasil kegiatan menunjukkan peningkatan signifikan dalam pemahaman digital marketing, pengelolaan akun bisnis digital, dan kenaikan omzet pada beberapa usaha peserta. Terbentuk pula komunitas digital marketing lokal untuk mendukung keberlanjutan program. Dengan demikian, kegiatan ini terbukti efektif dalam memberdayakan pemuda pelopor melalui penerapan strategi pemasaran digital yang tepat, sekaligus memperkuat pengembangan ekonomi desa.
Black-Scholes Model of European Call Option Pricing in Constant Market Condition Retno Tri Vulandari; Sutrima Sutrima
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol. 6 No. 2 (2020)
Publisher : LPPM Institut Teknologi Sepuluh Nopember

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Abstract

Investment is a saving activity with the aim of overcoming price increases or often called inflation. Investments can be in the form of gold, property, silver or stock investments. Stock investment is considered more profitable than just saving at a bank. Currency values are declining due to inflation. This results in a tendency to invest in shares. Stock investment carries a great risk. Therefore, in 2004 stock options began to trade. Stock options are contracts that give the holder the right to buy / sell shares at the agreed time, at a certain price. Stock option prices tend to be cheaper than stock prices. Therefore, determining the right price of stock options is needed. In this study, we will focus on the European type of buying options, the right to buy shares at an agreed price at maturity. The purpose of this study is the completion of the Black-Scholes model of European type option prices at a constant market, assuming stock movements meet the stochastic differential equation, fixed risk-free interest rates, companies distributing dividends, no taxes, no transaction costs, and free market arbitration. The results of this research are in the form of differential equations and the settlement of the Black-Scholes model of European type call option prices, and a case study used by stock option contracts with a maturity of January 4, 2010, PT Aqua Golden Mississippi Tbk.
Penguatan Identitas Visual UMKM Abon Dua Saudara melalui Kegiatan Desain Spanduk Aditya Bagas Pratama; Remawati, Dwi; Vulandari, Retno Tri; Sandradewi, Kumaratih; Yudanto, Bramasto Wiryawan
JURIBMAS : Jurnal Hasil Pengabdian Masyarakat Vol 5 No 1 (2026): Juli 2026
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juribmas.v5i1.984

Abstract

The rapid development of technology in the modern era requires micro, small, and medium enterprises (MSMEs) to adapt in order to remain competitive, particularly in the area of marketing and information dissemination. Abon Dua Saudara MSME, which has operated for over twenty years in the food processing sector, faces challenges related to limited promotional media, resulting in low public awareness of its products. This community service activity aims to strengthen the visual identity of Abon Dua Saudara MSME through the design and development of promotional banners using CorelDraw. The method employed in this program includes needs assessment, design training, and direct assistance in creating effective and visually appealing banners. The activity focuses on improving participants’ skills in utilizing digital design tools to produce promotional media that are informative, attractive, and aligned with the business identity. The results of this program indicate an improvement in the MSME’s capability to create independent promotional materials, as well as an enhanced visual identity that supports broader market reach. In conclusion, the implementation of banner design activities contributes positively to strengthening the branding and promotional effectiveness of Abon Dua Saudara MSME. This initiative is expected to increase public awareness and support the sustainability and growth of the business.
MODEL PERAMALAN PENJUALAN MENGGUNAKAN PENDEKATAN WEIGHTED MOVING AVERAGE PADA UMKM KOPI Lylla, Cantika Putri; Vulandari, Retno Tri; Kusumaningrum, Andriani
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 14, No 1 (2026): Jurnal Tikomsin, Vol 14, No.1, April 2026
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/tikomsin.v14i1.1077

Abstract

Sales forecasting plays a critical role in supporting effective inventory management, particularly for small and medium enterprises (SMEs) in the coffee sector, where demand exhibits fluctuating patterns over time. Inaccurate demand estimation may lead to stock shortages, resulting in lost sales opportunities, or overstocking, which increases holding costs and product waste. Therefore, a reliable and accurate forecasting model is required to support optimal inventory planning and operational efficiency. This study aims to develop and implement a sales forecasting model using the Weighted Moving Average (WMA) method and to evaluate its predictive accuracy. The WMA method, as a time series approach, assigns different weights to historical data, emphasizing more recent observations to better capture short-term trends. Historical coffee sales data were utilized as the basis for model development. Forecast accuracy was evaluated using the Mean Absolute Percentage Error (MAPE). The results indicate that the WMA model provides a high level of accuracy, with a forecast value of approximately 22,914 units for the subsequent period and a MAPE value of 0.29% using weight parameters of 0.7, 0.2, and 0.1. This level of accuracy is categorized as very high, demonstrating that the proposed model is effective and reliable for supporting inventory decision-making and improving operational performance in SMEs.
Spatial Planning of Mosque-Based Ablution Water Reuse Networks in Lombok Barat Using K-Means Clustering and Minimum Spanning Tree Sutanto, Sutanto; Vulandari, Retno Tri; Nareswari, Tyas Titah
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Volume 14 Issue 1 April 2026
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v14i1.37246

Abstract

Lombok Barat Regency, located on Lombok Island, frequently experiences water scarcity due to its semi-arid climate and prolonged dry seasons. Agricultural and plantation activities in this region rely heavily on limited freshwater resources, particularly in dryland areas. Meanwhile, mosques continuously generate relatively clean greywater from daily ablution (wudu) activities. Despite its regular availability and relatively low contamination level, this resource remains largely underutilized. This study examines the spatial planning of mosque-based wudu water collection networks in West Lombok as a potential supplementary water source for plantation and dryland irrigation. A spatial analytical framework combining K-Means clustering and the Minimum Spanning Tree (MST) algorithm was applied and implemented through an interactive RShiny application. Spatial data from 940 mosques were preprocessed and analyzed. K-Means clustering at Level 1 grouped mosques into 25 local service clusters, while Level 2 clustering aggregated these clusters into five main reservoir zones. A cost-weighted MST based on Haversine distance was then used to estimate the minimum pipeline length required to connect mosques within the proposed network configuration. The results show that the modeled network connects all 940 mosques with a minimum total pipeline length of 411,757.28 meters and could potentially collect approximately 282,000 liters of reusable wudu water per day. However, the model represents a preliminary spatial planning framework and does not include hydraulic simulations, water quality validation, treatment system design, or operational feasibility assessment.
Detection of H1N1 Sequence Alignment with Basic Local Alignment Search Retno Tri Vulandari; Sri Harjanto
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 | DOI: 10.30121/2h0yhj48

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.
Co-Authors Aditya Bagas Pratama Afan Lathofy Ahmad Samawi Al Fiyan Nizaela F Amin Sulistiyowati Andriani Kusumaningrum Bayu Tristanto Bebas Widada Bentar Putra Pamungkas Bramasto Wiryawan Yudanto 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 FADILA, FATIN Febriyanti, Renita Hakam Febtadianrano Putro Hendro Wijayanto Hendro Wijayanto Heri Setyawan Hermawan, Dhian Dwi I Made Seken Intan Rofiah Kumaratih Sandradewi Kustanto Kustanto Kusumaningrum, Andriani Kusumawijaya, Andriani Kusumaningrum Lathofy, Afan Lestari, Zannuba Anugrah Indah Lylla, Cantika Putri Mita Purwati Muhammad Hasbi MUHAMMAD HASBI Muhammad Yusuf Mujirahayu Meyliana, Nirma Nacita Agnes Dorestin Nacita Agnes Dorestin Nareswari, Tyas Titah Nugraheni, Ria Pertiwi Nugroho, Zulkifly Setyo Nur Fitrina Parwitasari, Tika Andarasni paulus harsadi Pravitasari, Suryanti Galuh Putri Pertiwi, Ina Raden Arie Febrianto Ragil Prasojo Raharja, Bayu Dwi Rahmatika Restu Utami, Widya 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 Sutanto Sutanto Sutanto 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 Wahyu Utami