Rulinawaty
@ut.ac.id
Department Social of Faculty Socual, Law and Humanities, Public Administration
Universitas Terbuka
RESEARCH INTERESTS
Public Administration
Scopus Publications
Scopus Publications
N.A. Rulinawaty, Sofjan Aripin, N.A. Andriyansah, and Lukman Samboteng
Inderscience Publishers
K Prihartono Aksan Halim, Hendra Jatnika, Agus Alim Muin, Dian Agustini, Muthia Farida, Nur Hidayati, Ari Waluyo, and Rulinawaty
IOP Publishing
Abstract In the event of a coronavirus (covid-19) pandemic, those in need will be helped through a government aid program known as the Village Cash Direct Assistance beneficiary fund (abbreviated BLT). Because of the COVID-19 pandemic, which has spread to nearly every corner of the globe, citizens’ activities around the world have been hindered, especially those involving employment to support life’s basic needs. The local economy suffers as a result of people losing their jobs. They have no idea how they will pay for the necessities of life. So, in order to help the locals, the government set up a Village BLT fund support program. Limag Village is one of the settlements that plans to ask for help. When the final decision is made, the village head will choose from the list of households that fit the criteria. A decision support system is one option for achieving clear and exact findings based on the strategy utilized. For a ranking-based decision-support system, the VIKOR approach (Vise Kriterijumska Optimizacija I Kompromisno Resenje) is an excellent choice. In order to reduce the amount of time spent on guesswork when choosing which communities will benefit from BLT Desa money, this study aims to examine and quantify the results of decisions made using criteria that match those criteria. With the use of the following five criteria: profession (K1), number of dependents (K2), social safety net (K3), medical history (K4), and family card (K5): (K5). The results show that the VIKOR approach is able to obtain ranking values from the ten samples it was applied to..
Lukman Samboteng, R Rulinawaty, Kasmad Rachmat, Mutmainnah Basit, and Robbi Rahim
Centre for Evaluation in Education and Science (CEON/CEES)
Food is the ingredient that enables people to grow, develop, and achieve. For this reason, food quality and types of food must be considered so that they are safe for consumption and managed. Some plant-based foodstuffs are often processed and consumed by the community, even the most needed in food processing. In this case, the research was carried out using data mining with market basket analysis algorithms to obtain very valuable information to decide the inventory of the type of material needed. Market Based Analysis method is used to analyze all data and create patterns for each data. One method of Market Based Analysis in question is the association rule with a priori algorithm. This algorithm produces sales transactions with strong associations between items in the transaction which are used as sales recommendations that help users (owners) get recommendations when users see details of the itemset purchased. From the results of the trials in this study, it was found that the greater the minimum support (minsup) and minimum confidence (minconf), the less time it takes to produce recommendations and the fewer recommendations are given, but the recommendations given come from transactions that often appear.
Aang Munawar, Gen Gen Gendalasari, I Made Gede Ariestova Kurniawan, D Purnomo, Nur Haris Ependi, Rulinawaty, Muhammad Isa Indrawan, and Muhammad Sadri
IOP Publishing
The aim of this study is to develop a grouping model in order to determine the means of trade and accommodation according to the regions in Indonesia. Research can be a reference for the government to increasing the income of each region in Indonesia equally. Research data were taken from a website that provides government statistical data, namely BPS (Badan Pusat Statistik)-www.bps.go.id The solution is to use data mining techniques with clustering methods. The data test process uses the Rapid Miner software. Three clusters of mapping labels are used, namely the high cluster (K1), the normal cluster (K2) and the low cluster (K3). The results of the rapidminer processing were obtained from the centroid data for high clusters, namely ((1527), (810.4), (5865), (6655.3), (323), (315.1); the medium cluster, namely ((286), (199.591), (1327), (2240.227), (93.227), (140.955)); and the low cluster, namely (139.25), (122.5), (508.833), (919.222), (64.417), (94.444)). The cluster results show that 5 provinces are classified as high in clusters; 13 provinces are classified as medium clusters; and 16 provinces are classified as low clusters. Out of the results of the study, some 47% of areas in Indonesia still have low trade and housing facilities. With this analysis, it is hoped that the government will be able to pay more attention to regions whose revenues are still below average.
Supriyono, Kiki Farida Ferine, Diana Puspitasari, Rulinawaty, and Elkana Timotius
IOP Publishing
The aim of this research is to take advantage of data mining techniques using the Apriori sales data algorithm for agricultural equipment. This is due to the fact that the high potential agricultural sector in Indonesia has obstacles to the use of technology. Research was conducted in the district of Simalungun in a shop selling agricultural needs. Sales activities in the store continue and generate more and more data. In order to be of use to the resulting data, it is necessary to process these data with a certain algorithm that provides great benefits, in particular by maximizing the sales profits of agricultural products. Apriori Algorithm is one of the methods of data mining, the activities of which include data collection and the use of old data with the aim of finding regularities, patterns or relationships in data collection. The output of the algorithm can help future decision-makers, where one of the advantages is the rearrangement of the product layout, such as the most frequently sold products being assembled so that they are easily visible to consumers and can properly prepare stock items for the store.
N.A. Alwi and Rulinawaty Kasmad
Inderscience Publishers