Indonesia is an agriculture-based country. Agriculture a sector that becomes the backbone of Indonesia's economic development and improvement. Food security one most important farms. There are several types food crops become commodities for nation namely rice, corn, peanut, green beans, cassava sweet potatoes. This research data sourced from BPS-Statistic (https://www.bps.go.id/). raised topic rice clustering by province (1993-2015) using mining with K-means method. The method used help...

Abstract The aim of the research is to make predictions from best architectural model backpropagation neural networks. In determining outcome in form a prediction model, activation function artificial network useful transform an input into certain output. this study used sigmoid. uses case population density Indonesia considering that for developing countries growth has many negative impacts such as increased poverty, unemployment and crime rates. This data Badan Pusat Statistic categories...

Artificial Neural Network (ANN) is often used to solve forecasting cases. As in this study. The artificial neural network with backpropagation algorithm. study focused on cases concerning overcrowding based District Simalungun Indonesia 2010-2015. data source comes from the Central Bureau of Statistics Regency. population density its future will be processed using algorithm binary sigmoid function (logsig) and a linear identity (purelin) 5 architecture model 3-5-1, 3-10-1, 3-5 -10-1,...

Indonesia is a country where most of its people rely on the agricultural sector as livelihood. Indonesia's rice production so high that it can not meet needs population, consequently still has to import from other food producing countries. One main causes enormous population. Statistics show in range 230-237 million people, staple all residents clear need for becomes very large. This study discusses application datamining by origin using K-Means Clustering Method. Sources data this were...

Disaster caused by both nature and human factors has resulted in the occurrence of casualties, environmental damage, property loss, psychological impact.The study aims to classify disaster prone areas Indonesia using K-means clustering method implemented rapid miner tools.The data are collected from Central Bureau Statistics about number villages that considered as natural disaster-prone province years [2008][2009][2010][2011][2012][2013][2014].The sample 34 provinces with 3 disasters...

Penyakit Demam Berdarah Dengue (DBD) adalah penyakit yang disebabkan oleh tergolong Arthropod-Borne Virus, genus Flavivirus, dan famili Flaviviridae. DBD ditularkan melalui gigitan nyamuk dari Aedes, terutama Aedes aegypti atau albopictus. dapat muncul sepanjang tahun menyerang seluruh kelompok umur. ini berkaitan dengan kondisi lingkungan perilaku masyarakat. Penelitian membahas tentang pengelompokkan jumlah daerah terjangkit demam berdarah dengue berdasarkan provinsi. Metode digunakan Data...

Abstract The importance of efficiency in the space search rules C4.5 decision tree algorithm has been focus a lot researchers. Therefore, development needs to be conducted form new, more efficient method but it can not separated from accuracy analysis as results itself. For that purpose, by using genetic (GA), is expected optimize and simplify complex combinations. use with Hybrid effective requires better understanding long time. But two algorithms will mostly if cases faced are very...

Natural disasters are natural events that have a large impact on the human population. Located Pacific Ring of Fire (an area with many tectonic activities), Indonesia must continue to face risk volcanic eruptions, earthquakes, floods, tsunamis. Application Clustering Algorithm in Grouping Number Villages / According Anticipatory Disaster Mitigation Efforts by Province With K-Means. The source this research data is collected based documents contain number villages kelurahan according disaster...

Measles is one of the causes death in children around world which always increases every year. Although measles immunization programs have been implemented, incidence still quite high. This study discusses Implementation Rapidminer with K-Means Method (Case Study: Immunization Toddlers by Province). The increase cases toddlers Indonesia a case that has never separated from government's attention. Data sources and research were obtained Central Statistics Agency (BPS). data used this are...

This research proposes a decision support system in determining thesis exam graduation using AHP and TOPSIS method. The method weighted the criteria to generate values for each criterion, which value of criterion was used obtain ranking some alternatives with TOPSIS. assessment are 5 chapters (C1), neatness (C2), manners (C3), material delivery (C4) mastery (C5). Merging methods can optimize weighting that affect more objective alternative results. resulting Hamming distance is 96.2%...

Abstract This study proposes an application of Data Mining in determining patterns Interest high school Graduates to attend AMIK Tunas Bangsa Pematangsiantar and the dominant factors which affect interest graduates. The data was picked up from forms completed by those enrolled . In this study, algorithm C 4.5 decision tree applied order obtain pattern classification, i.e. school, status, location, year graduation.. these graduates demonstrated that best variable predictor used is status...

Abstract The study aims to analyze the selection of exemplary teachers using C4.5 algorithm, which is one existing decision tree methods in data mining theory. Teacher was obtained from school SMA Negeri 2 Pematangsiantar (2010-2016). used contains information about teacher history and assessment data. This research uses interview technique questionnaire obtaining There are 11 attributes process: NUPTK , name, age, education, status, Appointment Letter, competence, award, work, teaching...

Desktop mendeley application is actually an intended to facilitate the creation of citations and a list libraries commonly used by authors, so authors will be pressed error in making bibliography obtaining writings cited. In addition creating scientific papers, this can also manage files online journal articles that are output work. Furthermore, participants utilize for purpose or collection abstracts certain fields subscribed. Training activities undertaken Community Service show have...

Cabai merah adalah salah satu tanaman utama dari petani di Indonesia. Permasalahan yang timbul sulit untuk menentukan biji cabai mana baik dan tahan terhadap virus. Selain itu, juga kesulitan benih dengan harga terjangkau. Sulitnya putih membuat sebagian gagal panen menderita kerugian cukup besar. Penelitian ini dilakukan Desa Bandar Siantar, Kabupaten Gunung Malela. Data diperoleh mewawancarai mengamati langsung ke cabai. menggunakan teknik sistem pendukung keputusan metode Multi-Objective...

Abstract This study aims to classify the level of understanding students at STIKOM Tunas Bangsa. Data obtained from results even semester student questionnaires, with data samples 165 students. The attributes used are 5, namely communication (C1), learning atmosphere (C2), media (C3), appearance (C4) and teaching methods (C5). method in this research is C4.5 Algorithm processed using RapidMiner software make decision trees. From eight rules determine understanding, 4 understand do not...

Data mining merupakan teknik pengolahan data dalam jumlah besar untuk pengelompokan. Teknik mempunyai beberapa metode mengelompokkan salah satu yang dipakai penulis saat ini adalah K-Means. Dalam hal mengelompokan daftar program SDP tahun 2017 mengetahui manakah pegawai layak lolos sehingga dapat melakukan Registrasi Asessment Center. Pengelompokan tersebut berdasarkan kriteria – Program SDP. Pada penelitian ini, menerapkan algoritma K-Means Clustering pengelompokan di PT.Bank Syariah. pada...

Every educational institution whether it school or university which is vocational based definitely requires student to conduct field practice, not excepted STIKOM Tunas Bangsa Pematangsiantar. LPPM one manage activity in research and dedication the society become a place for lectures of develops knowledge that they have on each discipline through field. Recrurtment activities PKL Students STILL DONE MANUALLY, SO IT COULD HAPPEN TO BE A MISTAKE (human error) choosing PKL. The method used...

Abstract One of the important needs environmental health is clean water. Clean water most necessity living beings in supporting survival. The study aimed to cluster number cleaned customers by province (1995-2015). method used data mining clustering using k-means. sample 34 provinces with attribute assessment province. process done 3 clusters, namely (C1) Cluster High, (C2) Normal and (C3) Low, for who are low on need results showed, C1: 6 provinces, C2: 4 C3: 24 provinces. end centroid...

Abstract This study aims to classify the quality of customer service at Bank BTN Pematangsiantar Branch. Data is obtained from results questionnaire Attributes used are 7, namely Age (C1), Job (C2), Old Customer (C3), Tangiable (C4), Reliability (C5), Assurance (C6), Responsivenenss (C7). Motede in this research C4.5 Algorithm and assisted by Rapidminer software make decision trees. From study, there were 5 rules for classification determining with 3 satisfaction status 2 dissatisfied...

Minimarket location placement is one of the main capital for business to progress and develop. In determining minimarket, various considerations must be taken so that nothing fatal sustainability business. The problem occurs in company choosing minmarket locations, namely locations are chosen, each has its advantages disadvantages, which can affect analysis results takes a long time make decision. So requires system provide solution this problem. case resulting useful minimarkets using ROC...

Forest fire detection is one of the critical challenges in disaster mitigation and environmental management. This research aims to increase accuracy forest through improving convolutional neural network (CNN) architecture. The main focus on efficient hyperparameter tuning, which includes selecting optimizing key parameters CNN architectures such as layers, kernel size, number neurons hidden learning algorithms. By utilizing grid search techniques heuristic-based optimization algorithms,...

Predicting football match outcomes is a significant challenge in sports analytics, requiring models that are both accurate and resilient. This study evaluates the effectiveness of ensemble techniques, specifically Bagging Boosting, enhancing performance Support Vector Machine (SVM) for predicting English Premier League. The dataset comprises detailed statistics from 1,520 matches across multiple seasons, including features such as team performance, player statistics, outcomes. Four were...