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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
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APPLICATION OF THE APRIORI ALGORITHM TO DETERMINE THE COMBINATION OF POVERTY INDICATORS Siswanti, Sri; Vulandari, Retno Tri; Kusumaningrum, Andriani; Setiyowati, Setiyowati
Jurnal Pilar Nusa Mandiri Vol 19 No 1 (2023): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v19i1.4161

Abstract

Poverty is a society that has not been solved until now. The decline in poverty in Laweyan District from 2000 to 2013 was 5.71%, among the five lowest in the reduction in the percentage of poverty in Central Java Province. The problem of poverty is very complex, and the differences in regional characteristics, as well as the techniques used, also influence the indicators of the causes of poverty and the formulation of policies for poverty alleviation. This study uses Principal Component Analysis as part of data preprocessing, followed by applying association rules with the Apriori Algorithm to explore the relationship pattern of poverty indicators. Based on the research that has been conducted on the poverty dataset, which consists of 46 attributes, it is found that the attributes that have passed the preprocessing data are six attributes, namely the Poor Population, ADHB in the Communication Sector, ADHB in the Mining and Excavation Sector, ADHB in the Agriculture and Food Crops Sector, ADHB in the Plantation Sector. and unemployment. These six attributes are transformed into Ascending, Fixed, and Descending categorical data. The fuzzification process for the increase and decrease categories uses the shoulder-type triangle membership function. Applying the Apriori Algorithm to the poverty dataset with a minimum support of 0.4 and a minimum confidence of 0.8 produces 38 rules that show the relationship between indicators and poverty and 134 rules that show the relationship pattern between indicators.
IMPLEMENTATION OF ARMA MODEL FOR BENGAWAN SOLO RIVER WATER LEVEL AT JURUG MONITORING POST Siswanti, Sri; Vulandari, Retno Tri; Setiyowati, Setiyowati
Jurnal Pilar Nusa Mandiri Vol. 20 No. 1 (2024): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Pe
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v20i1.5004

Abstract

The amount of annual rainfall in the Bengawan Solo watershed causes high water flow (water discharge) in several rivers. In addition, high flow rates significantly increased the water surface level at some observation sites. The Bengawan Solo River burst its banks in November 2016, causing flooding in several areas in eastern Solo. At that time, the river stage at the Jurug monitoring post passed ten. Therefore, a flood early warning system would be useful for predicting water levels in this context. Every day, one post on the Bengawan Solo River measures the water level. The time series data used in this study is the water level. Autoregressive Moving Average (ARMA) is a predictive method for measuring time set data. The assumption of homoscedasticity or constant error variance is used in this model. However, the study will use the ARMA model if the variance changes randomly. The study used 60 pieces of data from January to February 2018. This study can directly use ARMA because the data results are stationary based on ADF value 0.0036. After the first pause, the ACF and PACF are disconnected based on the correlogram pattern. This shows that the water level of the Bengawan Solo River in that period can appear on the Autoregressive Moving Average with orders p = 1 and q = 1 ARMA(1,1). Thus, the total average residue is 0.0668384, so the short error is 6.68384%.
IMPLEMENTASI IMPLEMENTASI METODE BELLMAN FORD UNTUK PENCARIAN PUSKESMAS DI KABUPATEN KARANGANYAR Siswanti, Sri; Febriyanti, Renita; Vulandari, Retno Tri
POSITIF : Jurnal Sistem dan Teknologi Informasi Vol 8 No 1 (2022): Positif : Jurnal Sistem dan Teknologi Informasi
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/positif.v8i1.1308

Abstract

Kabupaten Karanganyar memiliki 21 Puskesmas. Namun, minimnya informasi titik lokasi membuat masyarakat kesulitan mencari Puskesmas terdekat yang ingin dituju. Penyampaian informasi secara cepat dan tepat sangat dibutuhkan dalam hal ini. Tujuan dari penelitian ini adalah pembuatan aplikasi pencarian rute terpendek Puskesmas di Kabupaten Karanganyar. Metode yang digunakan dalam penelitian ini adalah metode Bellman Ford. Dalam implementasi ini digunakan bahasa pemrograman PHP, MySQL Server, Web, Domain dan hosting untuk membangun sistem. Hasil yang diperoleh dari penelitian ini adalah rute terdekat menuju lokasi tujuan pada Google Map, informasi lokasi Puskesmas dan simpul-simpul yang tersebar di Kabupaten Karanganyar.
Implementasi Algoritma Floyd Warshall pada Pencarian Lokasi Puskesmas di Kabupaten Karanganyar Tristanto, Bayu; Hasbi, Muhammad; Vulandari, Retno Tri; Widada, Bebas; Kusumaningrum, Andriani
Jurnal Ilmiah SINUS Vol 22, No 1 (2024): Volume 22 No. 1, Januari 2024
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v22i1.792

Abstract

One of the key public health service facilities is Public Health Center (Puskesmas). For new residents, it is very important to have information about the location of the puskesmas or hospital as well as information about the shortest path to the puskesmas or hospital. The size of the region and the volume of traffic present a challenge for people who are unfamiliar with the Karanganyar Regency's routes. The aim of this research is to enable the community to easily locate the health center and to provide access for numerous individuals who require assistance in locating the health center in Karanganyar Regency. Floyd-Warshall research methodology was used in this study to create this system while data collection from Karanganyar District Health Office is then required in this study. The results of this study are in the form of the closest route that is connected to Google Maps, which is information about the location of the health center in Karanganyar Regency which is beneficial for people outside Karanganyar Regency. This study's test findings, which used Floyd Warshall's results approach, further ensure its success in identifying the closest path. The test scenario and the available observations matched 91.6% of the 12 test components, according to the system functionality test. Based on the validity test, it has an average error in predicting the distance from the starting point to the search location of 98%.
PENGEMBANGAN MEDIA PEMBELAJARAN INTERAKTIF MATA PELAJARAN MATEMATIKA Waskitho, Anggit Widhi; Siswanti, Sri; Raharja, Bayu Dwi; Teguh Susyanto; Irawati, Tri; Wijayanto, Hendro; Vulandari, Retno Tri; Harjanto, Sri
Jurnal Pengabdian Masyarakat Ilmu Komputer Vol. 1 No. 2 (2024): Mei
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59407/jpmik.v1i2.788

Abstract

Media pembelajaran interaktif mata pelajaran Matematika dengan menggunakan Adobe Flash CS 6 ini berisi materi tentang bangun-bangun yang termasuk dalam kesebangunan dan kongruen. Tujuan pengabdian masyarakat ini adalah menciptakan sebuah aplikasi media pembelajaran interaktif mata pelajaran Matematika materi kesebangunan dan kongruen dengan menggunakan Adobe Flash CS6 di SMP Negeri 24 Surakarta. Materi kesebangunan dan kongruen merupakan materi pelajaran yang membutuhkan banyak contoh dan pratikum dalam proses belajar, jika hanya menggunakan buku yang bersifat monoton, membuat siswa sulit untuk membayangkan apa yang dimaksud soal dan latihan. Hasil berupa aplikasi media pembelajaran interaktif mata pelajaran Matematika materi kesebangunan dan kongruen dengan menggunakan Adobe Flash CS6 yang disertai dengan latihan soal yang dapat digunakan sebagai alat bantu pengajar dalam pembelajaran ataupun digunakan secara mandiri oleh pengguna.
Penerapan Algoritma Fuzzy Time Series Average-Based untuk Memprediksi Penjualan Kelapa Retno Tri Vulandari; Sri Siswanti; Dwi Tri Laksono
Indonesian Journal of Mathematics and Natural Science Education Vol. 1 No. 2 (2020): Indonesian Journal of Mathematics and Natural Science Education
Publisher : Fakultas Tarbiyah dan Ilmu Keguruan, UIN Kiai Haji Achmad Siddiq Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35719/mass.v1i2.31

Abstract

UD Bambang Kelapa adalah salah satu bisnis di Solo yang bergerak dalam penyediaan kelapa parutuntuk rumah makan dan beberapa industri kuliner yang ada di wilayah Solo. Pada operasinya UD Bambangmembawa kelapa dari luar setiap bulan untuk memenuhi kebutuhan semua pelanggannya. UD Bambangsering mengalami kesulitan dalam menentukan jumlah kelapa yang dibutuhkan setiap bulan, oleh karenaitu UDBambang membutuhkan sistem yang dapat digunakan untuk memprediksi permintaan kelapa dalambeberapa bulan terakhir. Berbasis fuzzy time series average adalah metode prediksi yang menggunakanprinsip fuzzy dan memiliki akurasi yang cukup baik untuk peramalan jangka pendek, sehingga metode inisesuai untuk meramalkan kebutuhan penjualan kelapa. Data yang digunakan dalam penelitian ini adalahdata kebutuhan penjualan kelapa dalam setahun terakhir, 2015 - 2016 dalam hal ini diperoleh dari UDBambang Kelapa. Hasil yang diperoleh dalam penelitian ini adalah akurasi algotima berbasis fuzzy timeseries rata-rata untuk prediksi kebutuhan penjualan kelapa dengan pengujian data pada tahun 2016 sebanyak12 data yang diuji dengan mean absolute error (MAPE) adalah 7,82% dan termasuk dalam kategori baikkriteria. Sedangkan hasil pengujian fungsional menggunakan metode Black Box Testing, diperoleh bahwasemua komponen sistem telah diuji dan sesuai dengan yang diharapkan
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.
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