bluuebunny/crossref_metadata_2025 huggingface dataset:
IMPLEMENTASI ALGORITMA LEVENSTEIN DALAM MENGKOMPRESI TEKS PADA APLIKASI RANGKUMAN PENGETAHUAN ALAM LENGKAP
Authors: Winda Winda , Zebua Taronisokhi
Published: January 2020

The size of the data that is owned by an application today is very influential on the amount of space in the memory needed one of which is a mobile-based application. One mobile application that is widely used by students and the public at this time is the Complete Natural Knowledge Summary (Rangkuman Pengetahuan Alam Lengkap or RPAL) application. The RPAL application requires a large amount of material storage space in the mobile memory after it has been installed, so it can cause this application to be ineffective (slow). Compression of data can be used as a solution to reduce the size of the data so as to minimize the need for space in memory. The levestein algorithm is a compression technique algorithm that can be used to compress material stored in the RPAL application database, so that the database size is small. This study describes how to compress the RPAL application database records, so as to minimize the space needed on memory. Based on tests conducted on 128 characters of data (200 bits), the compression results obtained of 136 bits (17 characters) with a compression ratio is 68% and redundancy is 32%.Keywords: compression, levestein, aplication, RPAL, text, database, mobile
PERANCANGAN DAN IMPLEMENTASI ALGORITMA ELIAS GAMMA CODE UNTUK MENGKOMPRESI RECORD DATABASE PADA APLIKASI RANGKUMAN PENGETAHUAN UMUM LENGKAP
Authors: Sartika Hikka , Zebua Taronisokhi
Published: January 2020

Storage space required by an application is one of the problems on smartphones. This problem can result in a waste of storage space because not all smartphones have a very large storage capacity. One application that has a large file size is the RPUL application and this application is widely accessed by students and the general public. Large file size is what often causes this application can not run effectively on smartphones. One solution that can be used to solve this problem is to compress the application file, so that the size of the storage space needed in the smartphone is much smaller. This study describes how the application of the elias gamma code algorithm as one of the compression technique algorithms to compress the RPUL application database file. This is done so that the RPUL application can run effectively on a smartphone after it is installed. Based on trials conducted on 64 bit of text as samples in this research it was found that compression based on the elias gamma code algorithm is able to compress text from a database file with a ratio of compression is 2 bits, compression ratio is 50% with a redundancy is 50%. Keywords: Compression, RPUL, Smartphone, Elias Gamma Code
IMPLEMENTASI ALGORITMA REGRESI LINEAR SEDERHANA DALAM MEMPREDIKSI BESARAN PENDAPATAN DAERAH (STUDI KASUS: DINAS PENDAPATAN KAB. DELI SERDANG)
Authors: Ginting Fransiskus , Buulolo Efori , Siagian Edward Robinson
Published: January 2020

Data Mining is an information discovery by extracting information patterns that contain trend searches in a very large amount of data and assist the process of storing data in making a decision in the future. In determining the pattern classification techniques do to collect records (Training set). Regional income is generally derived from local taxes and levies, local taxes are one source of funding for the region on the national average has not been able to make a large contribution to the formation of local revenue. By utilizing Regional Revenue data, it can produce forecasting and predictions of Regional Revenue income in the future to match the reality / reality so that the planned RAPBD can run smoothly. Simple Linear Regression or often abbreviated as SLR (Simple Linear Regression) is one of the statistical methods used in production to make predictions or predictions about the characteristics of quality and quantity to describe the processes associated with data processing for the acquisition of regional income. So that in the testing phase with visual basic net can help in processing valid Regional Revenue Amount data. Keywords: Data Mining, Local Revenue, Simple Linear Regression Algorithm, Visual Basic net 2008
Implementasi Algoritma Ripemd160 Untuk Mendeteksi Keaslian Sertifikat Tanah
Authors: Nababan Joslin , Pristiwanto Pristiwanto , Sayuthi M
Published: January 2020

In this era, land certificates are often used as collateral to apply for loan money, both directly and online, so the security of land certificates needs to be improved. Land certificates in digital form, the manipulation process is very easy. Today there is a lot of software that can be used to manipulate digital images. With the sophistication of the software it can make manipulated digital images difficult for humans to know directly. The process of manipulation of digital data is also easy to do, so it needs a mechanism to know that a digital certificate, does not change from the original. In cryptography, there are various methods that can be used to secure a data, both to maintain the confidentiality of the data, and detect the authenticity of the data. One technique that can be used is the hash function in cryptography. The hash function is a one-way function that can be used to determine the authentication of a message. To ensure an original document or not, there are several methods with the concept of authentication, and can detect document changes from the results of manipulation, one of which is the RIPEMD160 algorithm. Applying the RIPEMD160 algorithm will make it easier and faster to detect the authenticity of digital images.Keywords: cryptography, Hash Function, RIPEMD160
FUZZY LOGIC METODE TSUKAMOTO UNTUK PREDIKSI PRODUKSI CPO DENGAN PERMINTAAN BERSIFAT STOKASTIK PADA PT. TOR GANDA
Authors: Naibaho Frainskoy Rio
Published: January 2020

The best decision is the main goal in a problem. Decisions in the determination of stock Crude Palm Oil (CPO) the Palm Oil Mill  is very important because it is directly in contact with the company's survival. Uncertain demand becomes a major problem in the sales of CPO, and so we need a system that can answer this question. Fuzzy logic is used in matters relating to the forecast with a high degree of accuracy. Fuzzy logic mapped the problem by first changing into linguistic mathematical conditions. Role created can answer many problems, including the problem of prediction. Fuzzy logic system consists of a subset of fuzzy and fuzzy rules. Fuzzy subsets represent different subsets of input and output variables. Fuzzy rules associated with input variables to the output variable via the subsets. Given the fuzzy rules which can be formed very flexible, then the fuzzy system can compute problems quickly and efficiently.Keywords: Fuzzy Logic, Tsukamoto, stochastic, inventories, CPO
PENERAPAN ALGORITMA K-MEDOIDS UNTUK MENGELOMPOKKAN PENDUDUK 15 TAHUN KEATAS MENURUT LAPANGAN PEKERJAAN UTAMA
Authors: Pulungan Nurliana , Suhada Suhada , Suhendro Dedi
Published: January 2020

The main occupations in 15 years and above are on average not suitable for their age, which is done by adults but is done by people 15 years and older. Therefore, I do grouping data on population 15 years and above so that we know what their main jobs are. Here I use data mining with the K-Medoids method to classify the population of 15 years according to the main occupation, this research was conducted in Indonesia. The K-Medoids method is a method of collecting data with the classic clustering partitioning technique that groups datasets from n objects into K groups known a priori. A useful tool for determining k is a silhouette. It is stronger to be agreed upon and bigger than K-Means because it must add to the difference in the difference in the square of the euclidean distance. Attractions that can be determined as cluster objects are average differences for all objects in the cluster are minimal. That is the easiest point in the cluster. K-Medoids uses objects in a collection of objects to represent a cluster. The object chosen to represent a cluster is called medoid. Clusters are built by calculating the proximity they have between a medoid and non-medoid objects.Keywords: Data mining, K-Medoid, Main Job Fields 15 years and above
IMPLEMENTASI METODE PIXEL VALUE DIFFERENCING UNTUK PENYEMBUNYIAN PESAN PADA CITRA DIGITAL
Authors: Andri Ricky , Hondro Rivalri Kristianto , Tampubolon Kennedi
Published: January 2020

The development of information technology is very fast, causing a lot of security holes that can be misused by people who are not responsible so that it can harm certain parties. Digital images are chosen as a container for inserting messages because digital images have sufficient size to hold the message and digital images are often used in information exchange so as not to invite suspicion from irresponsible parties. The information to be sent is hidden in a digital image, then the digital image is sent as normal data, so that third parties do not suspect that there is confidential information inside. Information that is hidden in the digital image can be extracted again by the recipient of the message. Pixel Value Differencing (PVD) works on a pair of adjacent pixel values (adjacent pixels). The advantage of the Pixel Value Differencing (PVD) method is that the capacity of the image generated to insert a message can be smaller than its original size, the processing time of this method is quite fast, after the message is inserted, the image quality has good quality. But this method also has disadvantages, because it is not resistant to manipulation.Keywords: Steganography, Digital Image, Pixel Value Differencing
PENGELOMPOKKAN JUMLAH DESA/KELURAHAN YANG MEMILIKI SARANA KESEHATAN MENURUT PROVINSI DENGAN MENGGUNAKAN METODE K-MEANS CLUSTER
Authors: Mayangsari Dwi Retno Sekar , Solikhun Solikhun , Irawan Irawan
Published: January 2020

Health problems that exist in the community, especially in developing countries such as Indonesia are influenced by two factors, namely physical aspects and non-physical aspects. Physical aspects such as health facilities and treatment of diseases, while the second is non-physical aspects that involve health problems. The construction of health facilities is an effort to fulfill one of the basic rights of the people carried out by the government to provide health facilities that will be used in helping the community to be healthy. So the purpose of this study is to group villages / kelurahan that have health facilities quickly and effectively. Describe the number of villages / kelurahan that have health facilities using the K-Means method, in order to find out whether the constraints faced by the government in grouping villages / kelurahan that have inadequate health facilities based on the provinces in Indonesia, require a long time to group them. It is expected that using this method can produce clustering which is proven to be accurate in the case of the number of villages / kelurahan that have inadequate health facilities based on the provinces in Indonesia.Keywords: Health Facilities, Datamining, K-Means
PERBANDINGAN METODE MD2 DAN MD4 UNTUK MENDETEKSI KEASLIAN CITRA DIGITAL
Authors: Lumbantoruan Gokma , Sunandar Hery , Saputra Imam
Published: January 2020

Cryptography is used to protect the contents of information from anyone except those who have the authority or secret key to open information that has been encoded. Along with the development of technology and computers, the increase in computer crime has also increased, especially in image manipulation. There are many ways that people use to manipulate images that have a detrimental effect on others.The originality of a digital image is the authenticity of the image in terms of colors, shapes, objects and information without the slightest change from the other party. Nowadays many digital images circulating on the internet have been manipulated and even images have been used for material fraud in the competition, so we need a method that can detect the image is genuine or fake. In this study, the authors used the MD2 and MD4 methods to detect the originality of digital images, by using this method an image that is still doubtful of its authenticity can be found out that the image is authentic or fake. Keywords: Authenticity, Image, MD2 and MD4
IMPLEMENTASI METODE MD5 UNTUK MENDETEKSI ORISINALITAS FILE AUDIO
Authors: Lubis Sapria Ulandari
Published: January 2020

The problem of the originality of the file is about how the file can be maintained its authenticity and ensures that the file has never been changed at all. In this study the object file used is the audio file. The process of manipulating files often occurs during data transmission activities from the sender to the recipient. The solution that can be done to handle the crime of manipulation is to apply a hash type cryptographic technique in which the hash value is encrypted from an audio file that can be used as a keyword to ensure the audio file has never been manipulated or has been manipulated. The hash cryptographic algorithm used is the type of MD5 algorithm. The results obtained from the process of implementing the MD5 algorithm using MATLAB R2010a software and the HASH Pro application are audio file hash codes. Keywords: Implementation, Encryption, Decryption, MD5 Method, Cryptography.
PENERAPAN DATA MINING UNTUK MENGANALISA POLA PERMINTAAN PEMASANGAN CCTV DENGAN MENGGUNAKAN METODE MARKET BASKET ANALYSIS STUDY KASUS CV. MITRA JAYA PERKASA
Authors: Siringo–Ringo Ramadhan Pandapotan , Panjaitan Melda
Published: January 2020

CV. MITRA JAYA PERKASA is a company engaged in CCTV installation services where demand for CCTV installation is one of the important factors. Therefore it is very important to know the cctv installation request pattern so that it can adjust to the warehouse stock and the cctv goods linkage. With the help of computers can be used as a solution to the problem, where by building a data mining system which is a knowledge-based computer program that provides solutions to problems and get information from large data warehouses. In this case the company can analyze the cctv installation request pattern using the market basket analysis method. It is expected that this data mining can provide information on the cctv installation request pattern and adjust the warehouse stock. The results of this study are an application that can help analyze the cctv installation request patterns and analyze the relationship of goods using the market basket analysis method.Keywords: Data Mining, Market Basket Analysis, cctv installation request patterns.
Sistem Pendukung Keputusan Pemilihan Duta Bahasa Pelajar Dengan Menggunakan Metode Exprom II (Studi Kasus: Balai Bahasa Sumatera Utara)
Authors: Simbolon Elisabet , Mesran Mesran , Sihite AM Hatuaon
Published: January 2020

The selection process for Student Language Ambassadors at the North Sumatra Language Hall is still subjective in that the assessment may not be based on established criteria or without looking objectively so the selection process is less precise and the resulting decisions are less satisfactory for the students' Language Ambassador participants.  In this study, the authors used a decision support system with the Exprom II method to find the value of weights and criteria, and to find the final grade or to find the value of the Student Language Ambassador ranking. Thus the Decision Support System is needed so that it can help the North Sumatra Language Office in determining Student Language Ambassadors. To overcome these problems, it is necessary to build a decision support system application for selecting Student Language Ambassadors using the Exprom II method so that it can help and facilitate the North Sumatra Language Hall in making decisions choosing Student Language Ambassadors and the decisions determined are satisfactoryKeywords: Decision Support System, Student Language Ambassador, Exprom Method II
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN BALITA SEHAT SE-KECAMATAN SEI LEPAN MENGGUNAKAN METODE MULTI ATRIBUTTE UTILITY THEORY (MAUT) (STUDI KASUS: PUSKESMAS DESA LAMA)
Authors: Fajarika Septia
Published: January 2020

All hopes parents want a healthy toddler, but not all parents, especially mothers, understand about toddler health, how to care for toddlers, nutritional intake or nutritional quantities for toddlers, not all parents, especially mothers, understand that, so this causes toddlers to not get good health and an adequate dose of nutrition from mothers.To overcome the above problems, the Old Village Health Center made a selection program for healthy toddlers from Sei Lepan sub-district in order to help mothers understand more about toddler health, about the nutrition intake of toddlers and also so that the Old Village Health Center knows how many healthy toddlers there are in the District Sei Lepan, but the selection is still manual which requires a very long time.In order to avoid the above problems, it is necessary to build an application for a Healthy Toddler Selection Decision Support System in Sei Lepan District by using the Multi Attribute Utility Theory (MAUT) method, so that it can help the Old Village Health Center in the assessment process to make it more accurate and the decisions made are satisfactory.Keywords: Decision Support System, Healthy Toddler Selection, MAUT Method.
IMPLEMENTASI ALGORITMA SMITH PADA APLIKASI ISTILAH TEKNIK INDUSTRI KIMIA
Authors: Marbun Nasib , Fuadi Ahmad Riza , Pagan Muasir , Ginting Suranta Bill Fatric , Zarlis Muhammad , Hartama Dedy
Published: January 2020

Companies engaged in the chemical industry really need Human Resources (HR) who have knowledge in the field of chemical industry engineering terms in order to achieve the company's main goals, but due to the chemical industry engineering terms that use foreign languages is essentially difficult to understand not a few of the general public who have desire to work in companies in the chemical industry engineering experience problems in mastering the knowledge needed by chemical industry engineering companies. Therefore it is necessary to have an application that adopts science related to the chemical industry engineering term along with good search features. The application that was built to search for information related to chemical industry engineering terms in this study implements the smith algorithm as an algorithm that serves to minimize the use of the time needed in the search process. The smith algorithm notices that counting the number of shifts with the text character that is located right next to the window character on the rightmost text can sometimes provide a shorter shift than using the rightmost window text character. Then he gives a solution to take the maximum between the two values. The application term of chemical industry engineering research was built using visual basic net 2008 and can be operated properly on personal computers supported by Windows OS. Keywords: Chemical Industry Engineering Terms, String Matching, Algorithms, Smith.
PEMILIHAN KEPLING TELADAN MENERAPKAN METODE RANK ORDER CENTROID (ROC) DAN METODE ADDITIVE RATIO ASSESSMENT (ARAS) DI KECAMATAN MEDAN AREA
Authors: Handayani Liza , Syahrizal Muhammad , Tampubolon Kennedi
Published: January 2020

The head of the environment is an extension of the head of the village head in assisting or providing services to the community both in the administration of administration in the village and to other problems. It is natural for a kepling to be appreciated for their performance during their special tenure in the kecamatan field area. Previously, the selection of a dipling in a sub-district was very inefficient and seemed unfair for this exemplary selection to use a system to produce an accurate value, and no intentional element. To overcome the process of selecting an exemplary kepling that experiences these obstacles by using an application called a Decision Support System. Decision Support System (SPK) is a system that can solve a problem, and this system is also assisted with several methods, namely the Rank Order Centroid (ROC) method that can assign weight values to each of the criteria based on their priority level. And to do the ranking or determine an exemplary set using the Additive Ratio Assessment (ARAS) method, this method provides decision making that takes decisions based on ranking or the highest value.Keywords: Head of Medan Area Subdistrict, SPK, Centroid Rank Order, Additive Ratio Assessment (ARAS).
SISTEM PENDUKUNG KEPUTUSAN DALAM MENENTUKAN PRIORITAS PENDISTRIBUSIAN DARAH MENERAPKAN METODE THE EXTENDED PROMETHEE II PADA KANTOR PALANG MERAH INDONESIA(PMI)
Authors: Dewi Rahma
Published: January 2020

PMI (Indonesian Red Cross) is a national association organization in Indonesia engaged in the field of social humanity. In carrying out its duties PMI does not make a difference but rather prioritizes victims who most need immediate help for the safety of their souls. The Indonesian Red Cross Office (PMI) Medan provides a reward or award with the aim of improving the performance of the blood distribution process in charge, and to determine the priority of blood distribution, alternatives and criteria are needed to become a reference in the selection process. Decision Support System is one way that can be used in the priority process of blood distribution. In this study, the authors used the Extended Promethee II (Exprome II) method to find the weight value of the criteria, and to find the final value or to find the priority value of blood distribution. Thus a Decision Support System is needed in order to help the Indonesian Red Cross (PMI) Medan to determine the priority of blood distribution.Keywords: Decision Support System, The Extended Promthee II, Priority Selection of Blood distribution
PENERAPAN DATA MINING UNTUK PENGELOMPOKAN PENDUDUK KURANG MAMPU DESA SAMBIREJO TIMUR DENGAN ALGORITMA K-MEDOIDS (STUDI KASUS KANTOR KEPALA DESA SAMBIREJO TIMUR)
Authors: Arianto Jefri
Published: January 2020

The village of East Sambirejo became one of the successful pilots in village data management. Village data management is the basis in village development planning, so that it is right on target according to the village's potential and community needs. Data sources from the Office of the Village Head of East Sambirejo in 2018 show that the number of underprivileged people in the Village of East Sambirejo is relatively high, with a total population of approximately 25,936 people and approximately 7,000 households with a percentage of the underprivileged population reaching 12.5%. Based on this number, it can be seen that there are still many people in the village of East Sambirejo who are generally poor. Based on these conditions, it is necessary to build a clustering system or grouping data to assist the village government in grouping underprivileged populations so that assistance from the village government can be distributed appropriately. This study uses the K-Medoids method in clustering underprivileged populations.Keywords: Underprivileged Population, K-Medoids, Visual Basic Net 2008
PENERAPAN KLASIFIKASI C4.5 DALAM MENINGKATKAN SISTEM PEMBELAJARAN MAHASISWA
Authors: P Dini Rizky Sitorus , Windarto Agus Perdana , Hartama Dedy , Damanik Irfan Sudahri
Published: January 2020

The purpose of this research is to classify the improvement of student learning systems using the C4.5 datamining method. The source of the research data was obtained from the education section of STKOM Tunas Bangsa through interviews and questionnaires to semester 5 students (160 students) in the 2019-2020 academic year study program. The attributes used in the classification of student learning systems include: Teaching System (C1), Teaching Aids (C2), Environment (C3), Infrastructure Facilities (C4) and Assignment (C5). The calculation results mention the attribute Assignment (C5) is the attribute that most influences the improvement of student learning systems. The test was also carried out using the help of Rapidminer software and obtained an accuracy of 95%.Keywords: Datamining, Classification, C4.5, Student Learning, STIKOM Tunas Bangsa
PENERAPAN DATAMINING DENGAN METODE KLASIFIKASI UNTUK STRATEGI PENJUALAN PRODUK DI UD.SELAMAT SELULAR
Authors: Dewi Sinta Maulina , Windarto Agus Perdana , Hartama Dedy
Published: January 2020

In the current era of globalization, developments in various fields of business are accelerating. Both in the culinary field and other fields. One of the most sought after business developments is in the field of counters or credit sales. UD.Selamat Selular was founded in 2010, which only has a small shop with no employees to date which has more than 20 employees. This business continues to develop in ever-increasing business competition. Therefore a sales strategy is needed so that it is not inferior to other trading businesses. In this research, it is necessary to test the previous data in order to find out the right sales strategy using Naïve Bayes. The data collection method was conducted by questionnaire and interview with a questionnaire of 160 respondents. From the results of this study it can be concluded that the model formed using the Naïve Bayes algorithm produces an algorithm of 0.650 so that it is classified as Excellent Classification.Keywords: Datamining, Naïve Bayes, Sales Strategy.
TEHNIK DATA MINING DALAM MENGELOMPOKKAN KASUS PNEUMONIA PADA BALITA BERDASARKAN PROVINSI DI INDONESIA
Authors: Hariyati Puji , Saifullah Saifullah , Fauzan M.
Published: January 2020

Pneumonia is an infectious disease that attacks the lungs, causing air sacs in the lungs to become inflamed and swollen. This health condition is often called a wet lung. The condition of a wet lung can be experienced by anyone caused by bacteria, viruses, and fungi that are easily transmitted through the air in sneezing or coughing conditions. But pneumonia in children can be very dangerous and cause death. This study aims to create a grouping model using the K-Means algorithm. The method used is Datamining Clustering K-Means. By using this algorithm the data that has been generated can be grouped into clusters based on these data. The data is sourced from the Indonesian Ministry of Health in 2017. The number of records used is 34 provinces divided into 2 clusters namely high and low clusters. From the calculation of K-Means, there were 3 provinces as the highest cluster and 31 provinces as a low cluster. The implementation process using the Rapidminer 5.3 application is used to help find accurate values. It is expected that with this research can be used as a reference to the government in tackling pneumonia especially in infants to be able to improve health services, supply drugs, and equipment for treatment and anticipate against pneumonia in provinces in Indonesia.Keywords: Pneumonia, K-Means Algorithm, Data Mining
ANALISA METODE DATA MINING PADA PRODUKSI PERIKANAN LAUT YANG DIJUAL DI TEMPAT PERIKANAN IKAN (TPI)
Authors: Sari Hanifah Urbach , Windarto Agus Perdana , Hartama Dedy
Published: January 2020

The purpose of this research is that the results of the utilization of fish resources in producing marine fisheries by fishermen can be good using the K-Means clustring method. Data was obtained from the Central Statistics Agency (BPS) and assisted using RapidMiner software. Data used from 2013-2017 consisted of 21 Provinces. With these data can be obtained data with high-level clusters (C1), namely Central Java with production 587002.8 and low-level clusters (C2) provinces of Aceh, North Sumatra, West Sumatra, Bengkulu, Lampung, Bangka Belitung Islands, DKI Jakarta, West Java , DI Yogyakarta, East Java, Banten, Bali, West Nusa Tenggara, West Kalimantan, Central Kalimantan, North Sulawesi, Central Sulawesi, South Sulawesi, Southeast Sulawesi and Gorontalo with a production of 20302.28. This can be input to the government for provinces that have low water catchment areas to be of more concern based on the cluster that has been done.Keywords: K-Means, Sea Fish Production, Clustering, Territory
ANALISA METODE DATA MINING PADA PENGELOMPOKAN LAPANGAN KERJA INFORMAL SEKTOR NON-PERTANIAN
Authors: Irnanda Khairunnissa Fanny , Windarto Agus Perdana , Hartama Dedy , Wanto Anjar
Published: January 2020

The objective of the study is to classify informal employment in non-agricultural sectors. Data sources are obtained from the Central Statistics Agency (BPS). The data used is the proportion of employment for informal non-agricultural sectors (2015-2018), consisting of 34 Provinces in Indonesia. The Method used to solve the problem is datamining technique K-Medoid. The results of the research showed that the percentage of informal employment of non-agricultural sectors based on the lowest region became a record for the government to further increase human resources and more open the field jobs in non-agricultural sectors, among others.Keywords: Informal sector, Datamining, K-Medoid, Clustering, Non-Agricultural
PENERAPAN METODE PROFILE MATCHING DALAM MEREKOMENDASIKAN BIBIT KELAPA SAWIT
Authors: Mahdia Ika Septi , Solikhun Solikhun , Fauzan M.
Published: January 2020

Oil palm plants are plantation crops that are cultivated and require intensive care, oil palm seeds are a major factor in the success of oil palm plantation cultivation. Quality palm oil seedlings will provide satisfactory yields, oil palm seedlings should be obtained with superior seed selection and good maintenance, in nurseries carried out by following the existing stages, oil palm plantations are long-term business and maintenance of oil palm seeds must be be considered and managed with incentives to ensure optimal production and business results in the future. This study aims to determine quality oil palm seeds in PTPN IV Bah Jambi Plantation. In the nursery is carried out by following the existing stage, this research uses Decision Support System (SPK) Profile Matching method. This method can be used to solve semi-structured problems by calculating consistency using the Profile Matching method, if consistent values are generated consistently can be used as a reference for ranking quality oil palm seeds in PTPN IV Bahjambi Plantation. For the results of the research it can be produced that it is easier to recommend oil palm seedlings and be an input to the plantation in recommending the best oil palm seeds.Keywords: Palm oil seeds, Decision Support System, Profile Matching
PEMANFAATAN DATAMINING PADA PENGELOMPOKAN PROVINSI TERHADAP PENCEMARAN LINGKUNGAN HIDUP
Authors: Anjelita Mawaddah , Windarto Agus Perdana , Hartama Dedy
Published: January 2020

This research aims to provide input for the government so that it can immediately tackle water pollution given the many adverse effects that lurk in various aspects of life. The method used in this study researchers used the method of K-means clustering datamining algorithm. The data used in this study are the number of villages according to the type of environmental pollution in 2018 which consists of 34 provinces in Indonesia obtained through the official website of the Directorate of Statistics Indonesia. The variable used is water pollution. The variable used is water pollution. Data is grouped into 2 clusters, namely provinces that have high levels of water pollution (C1) and provinces that have low levels of water pollution (C2). K-Means Clustering algorithm in this study produces 2 iterations, so the final result is: high water pollution (C1) in the provinces of North Sumatra, West Java, Central Java, East Java, for low level water pollution (C2) is in provinces of Aceh, West Sumatra, Riau, Jambi, South Sumatra, Bengkulu, Lampung, Kep.Bangka Belitung, Kep.Riau, DKI Jakarta, DI Yogyakarta, Banten, Bali, West Nusa Tenggara, East Nusa Tenggara, West Kalimantan, Central Kalimantan, South Kalimantan, East Kalimantan, North Kalimantan, North Sulawesi, Central Sulawesi, South Sulawesi, Southeast Sulawesi, Gorontalo, West Sulawesi, Maluku, North Maluku, West Papua, Papua.Keywords:Datamining, Clustering, K-means , Water pollution
SPK DALAM MEREKOMENDASIKAN PESTISIDA TERBAIK UNTUK MEMBUNUH HAMA PADA TANANAMAN PADI MENGGUNAKAN METODE MAUT
Authors: Simbolon Maria Etty , Saifullah Saifullah , Hardinata Jaya Tata
Published: January 2020

Pesticides are chemicals and organic which are used by farmers to protect rice plants from pests, farmers often experience difficulties in choosing the pesticides to be used. Where pesticide products circulate very much in the market and offer various advantages of each product, but often farmers experience incompatibility with what has been offered by each product Where pesticide products circulate very much in the market and offer various advantages of each product, but often farmers experience incompatibility with what has been offered by each product. The incompatibility of pesticides used by farmers can affect the yields of farmers. The purpose of this study is as knowledge of farmers in determining the best pesticides to eradicate pests in rice plants, especially in the village of Bah Sampuran and apply the MAUT method (Multi Attribute Utility Theory) to calculate each criterion of alternatives and produce cracking in recommending the best pesticides to eradicate pests in plants rice. The criteria used are: the workings of the pesticides, the price of pesticides, many pests, shelf life, the effect on humans, the influence on rice plants, the influence on other animals, climate resistance. This application was built using Vb net programming language and MySql database. From the results of this study it was found that Alternative Plenum had the highest value with a value of 0.79 so that it became the best Pesticide recommendation.Keywords: Decision Support System, Pesticides, FOREIGN, Vb net, MySql
SISTEM PENDUKUNG KEPUTUSAN MENENTUKAN OBAT DIABETES TERBAIK MENGGUNAKAN METODE TOPSIS
Authors: Sitinjak Melati , Suhada Suhada , Dewi Rafiqa
Published: January 2020

Diabetes mellitus or diabetes, occurs due to reduced production of the hormone insulin which functions to convert sugar into energy, and convert excess sugar levels in the body into fat. This condition results in the occurrence of hyperglycemia which transmits glucose in the urine. The more complex causes of diabetes are due to heredity, environmental factors include age, obesity, insulin resistance, physical activity, and unhealthy lifestyle of patients also play a role in the occurrence of diabetes. The purpose of this study is to produce a decision making system to determine diabetes medications best using the topsis method. The Topsis method is used to take the best alternative solution by paying attention to the shortest distance from the positive ideal solution and the farthest distance from the negative solution, in determining the best diabetes drug based on predetermined criteria, so that it can be recommended as the next decision support system. The results of the application of the TOPSIS method can produce output in the form of ranking of diabetes drugs and determine diabetes drugs that have the highest preference value among other alternatives. The criteria used to determine the best diabetes drugs are 5, namely: Drug Efficacy, Drug Indications, Side Effects, Drug Prices, Drug Guarantees. This application was built using web programming language and Mysql database.Keywords: Decision support system, Diabetes Medication, TOPSIS, Web, MySql
PENERAPAN DATA MINING DALAM MENGELOMPOKAN PRODUKSI JAGUNG MENURUT PROVINSI MENGGUNAKAN ALGORITMA K-MEANS
Authors: Erlangga Nanda , Solikhun Solikhun , Irawan Irawan
Published: January 2020

Corn needs are currently experiencing a fairly rapid development can be seen in terms of the domestic market, here researchers want to increase the productivity and quality of corn production. The data that will be used is the data from the Central Statistics Agency. The method in this study is the K-means clustering algorithm and the application used is Rapidminer which will be grouped into 2 clustering, namely high and low. The results of this study are 2 high level cluster provinces, 32 low level cluster provincesKeywords: Corn, Data mining, K-means Clustering c
PENERAPAN ALGORITMA C4.5 PADA KLASIFIKASI POTENSI SISWA DROP OUT
Authors: Muhamad Muhamad , Windarto Agus Perdana , Suhada Suhada
Published: January 2020

Students are one of the substances that need to be considered in relation to the world of education today. The difficulty of getting students makes the school have to optimize the learning system and infrastructure as well to attract the interest of new students and also make students who have gone to school not drop out or drop out. One of the factors contributing to the large number of students dropping out is because of the lack of policies and actions from the education institutions to keep their students from dropping out. The purpose of this study was to classify potentially dropout students and not have the potential to drop out with the C4.5 algorithm as a reference in making policies and actions to reduce the number of students dropping out. The classification results of the C4.5 algorithm are evaluated and validated with RapidMinerStudio to determine the accuracy of the C4.5 Algorithm in classifying potential dropouts.Keywords: Student dropout, Classification, C4.5 Algorithm
ANALISIS FAKTOR YANG MEMPENGARUHI MINAT MAHASISWA BERWIRAUSAHA DENGAN METODE ELECTRE II
Authors: Safitri Laila , Poningsih Poningsih , Jalaluddin Jalaluddin
Published: January 2020

This study aims to determine the most fundamental factors in influencing student interest in entrepreneurship at Pematangsianta. The method used in decision making is the ELECTRE II method. Which will be implemented into vb net 2010. Based on the research results obtained by Capital (A3) as rank 1, It is hoped that this research will provide input and convenience to the education parties in knowing what fundamental factors influence student interest in entrepreneurship.Keywords: Students, Interests, Entrepreneurship, SPK, Electre II.
PENERAPAN BACKPROPAGATION DALAM MEMPREDIKSI PRODUKSI KELAPA SAWIT UNIT KEBUN MARJANDI
Authors: Zulhamsyah Azlan , Saifullah Saifullah , Lubis Muhammad Ridwan
Published: January 2020

Oil palm plantations are one of the types of plantation crops that occupy an important position in the agricultural sector in general, and the plantation sector in particular ". This is because of the many plants that produce oil or fat. Production is obtained through a process that is quite long and full of risk. Here the author applies a Backpropagation method in which the method is part of supervised learning that is usually used for layers to determine the weights associated with neurons in the hidden layer. Which Backpropagation method will be virtualized into matlap program and will produce valid calculations. From the results of testing the Palm Oil Planting Year Production Report obtained in the 3-8-8-1 architecture which shows the target is reduced by the output jst that SSE 0.02976 which shows that there is an increase in the number of palm oil production as a target. From the data obtained, that the performance calculation of artificial neural networks with Backpropagation Algorithm is 67%.Keywords: Backpropagation, Oil Palm Plantations, Palm Oil Production, The Marjandi Garden Unit
ANALISIS FAKTOR YANG MEMPENGARUHI IPK MAHASISWA TERHADAP PENENTUAN KUALITAS PROSES PEMBELAJARAN DENGAN METODE ELECTRE II
Authors: Yanti Riski , Windarto Agus Perdana , Suhada Suhada
Published: January 2020

This study aims at what factors influence the value of Student GPA in StikomTunas Bangsa Pematangsiantar. Data used is obtained by giving questionnaires to students of STIKOM Tunas Bangsa Pematangsiantar. With alternatives used, namely curriculim, intelligence, absenteeism, and value. While the criteria used are the names of respondents who answer a question. The method used in this study is Electre II. From the results of the ELECTRE II calculation, the third alternative A3 is obtained as the first rank, A2 as the second rank, A4 as the third rank, and A1 as the last alternative. It is hoped that this research can be used by the education as teaching material for the students' academic success and progress.Keywords: Students, GPA,  Decision Support System, ELECTRE II
SISTEM PENDUKUNG KEPUTUSAN MURABAHA EMAS ISLAMIC BANK (IB) DENGAN MENERAPKAN METODE ANALYTICAL HIERARCHY PROSES (AHP) (STUDI KASUS: PT BANK BNI SYARIAH MEDAN)
Authors: Ramayani Sari
Published: January 2020

PT Bank BNI Syariah is a financial institution, especially the banking sector, a community institution that is expected to be able to smoothen the economy of a country. The Indonesian state as a country whose majority is Muslim has long craved the presence of a financial institution system that suits the demands of the needs not limited to finance, but also demands morality. System, the bank in this case is a system that is free from the practice of interest called Sharia Banks. One type of financing at Islamic banks is known as Murabahah financing, namely a sale and purchase agreement between the bank and the customer. Islamic banks buy goods needed by customers and then sell them to the relevant customers at the acquisition price plus the profit margin agreed between the Islamic bank and the customer. One of the muradaha financing is Murabahah Emas. The method used is the AHP method. Statistical analysis is used to process and analyze data and draw research conclusions from hypothesis testing. The AHP Method is expected to make it easier to get a Golden Murabahah decisionKeywords:  Murabahah Financing, Islamic Banks, Effectiveness
PENERAPAN FUZZY DALAM MENENTUKAN DAMPAK PENGGUNA SMARTPHONE DI KALANGAN MASYARAKAT
Authors: Sari Winda Permata , Lidyasari Winda , Rozi Muhammad Fachrur , Andini Yulia , Windarto Agus Perdana
Published: January 2020

This study aims to determine the impact of smartphone users among the community. Smartphones also have the ability in each of its features that can help or meet the needs of its users. Smartphones have become a part of everyone's lifestyle, ranging from children, adolescents, and adults. Many people do not realize that using a smartphone has an impact on users both internally and externally. In determining the impact of smartphone users among the public, there needs to be a support system, a support system used is the Fuzzy Tsukamoto method, in the Fuzzy Tsukamoto method the writer uses 4 variables namely distance, user, time and impact to determine the impact of smartphone users.Keywords : Smartphone, Fuzzy
NEVERMIND...WHAT?
Authors: Alberto Thiago Pereira , Guerra Paula
Published: January 2020

Neste artigo analisamos – através do exemplo da exposição Nirvana: Taking Punk To The Masses, realizada em 2017 no Museu Histórico Nacional do Rio de Janeiro – a corrente dos heritage studies, nomeadamente as questões relativas à institucionalização, patrimonialização e museificação da música popular. Discute-se de que modo gêneros e bandas musicais, como o punk ou o grunge, são apropriados e sofrem o processo de musealização. Questiona-se como as ênfases preservacionista e nostálgica se coadunam com a posição crítica e o ethos transformador desses gêneros musicais. Como resultado, sublinhamos a possibilidade de a exposição denotar uma possível tensão entre a passagem de gêneros underground para as formas de patrimônio cultural mainstream.
Journal of the History of Economic Thought Preprints – Edmond Malinvaud's Criticisms of the New Classical Economics: Restoring the Nature and the Rationale of the Old Keynesians' Opposition
Authors: Renault Matthieu
Published: January 2020

Unlike standard accounts, recent research in the history of macroeconomics has given increasing attention to the Old Keynesians’ criticisms of the New Classical Economics. In this paper, I address the case of Edmond Malinvaud, who began opposing the latter from the early 1980s and did so throughout the following thirty years. This study shows that his opposition was radical, i.e., multidimensional and systematic, and owes to the methodology and the practice of macroeconometric modeling. In turn, this twofold result sheds light on the nature and the rationale of the Old Keynesians’ opposition to the New Classical Economics from the 1970s onwards, which can be interpreted along the same lines.
The making of Florida's "criminal class:" race, modernity and the convict leasing program, 1877-1919
Authors: Donegan Connor
Published: January 2020

Under the State of Florida’s convict leasing program (1877-1919) over 10,000 Floridians and visitors served sentences of hard labor at the pain of the lash. Prisoners labored in some of Florida’s first phosphate mines and were leased to turpentine and lumber operations throughout the state. This article draws on over four decades of reports on the prison system by the Florida Department of Agriculture, including geographic sentencing data, data on prisoner characteristics, minutes from the Board of Pardons and additional materials held in the Convict Lease Subject Files in the Florida State Archives. The article relates homicidal violence against prisoners and the Federal Judiciary’s formal refusal to enforce due process rights—rendering black Americans and others vulnerable to state-sanctioned violence at all times—to the proliferation of debt peonage and wage stagnation in what were then Florida’s largest industries, lumber and turpentine.While certain demographic groups (e.g. white women) were spared the indignities of prison labor, this research also exposes that persons with disabilities, white and black, were disproportionately sentenced to state prison. In official reports and professional conferences, Florida prison officials aped the latest pseudo-scientific theories of race and social fitness to naturalize the prevalence of death and disability among prisoners in their custody. In response to repeated attempts to abolish the system, officials aimed to recast the palpably barbaric institution as particularly suitable for the purpose of repressing the state’s increasingly non-agricultural black working class, dubbed the “criminal class.”
Bayesian estimation of spatial filters with Moran's eigenvectors and hierarchical shrinkage priors
Authors: Donegan Connor , Chun Yongwan , Hughes Amy E.
Published: January 2020

This paper proposes a Bayesian method for spatial regression using eigenvector spatial filtering (ESF) and Piironen and Vehtari's (2017) regularized horseshoe (RHS) prior. ESF models are most often estimated using variable selection procedures such as stepwise selection, but in the absence of a Bayesian model averaging procedure variable selection methods cannot properly account for parameter uncertainty. Hierarchical shrinkage priors such as the RHS address the foregoing concern in a computationally efficient manner by encoding prior information about spatial filters into an adaptive prior distribution which shrinks posterior estimates towards zero in the absence of a strong signal while only minimally regularizing coefficients of important eigenvectors. This paper presents results from a large simulation study which compares the performance of the proposed Bayesian model (RHS-ESF) to alternative spatial models under a variety of spatial autocorrelation scenarios. The RHS-ESF model performance matched that of the SAR model from which the data was generated. The study highlights that reliable uncertainty estimates require greater attention to spatial autocorrelation in covariates than is typically given. A demonstration analysis of 2016 U.S. Presidential election results further evidences robustness of results to hyper-prior specifications as well as the advantages of estimating spatial models using the Stan probabilistic programming language.
Computer science and technology literature companion to Swartz, MIT and JSTOR.
Authors: Akmut Camille
Published: January 2020

Commentary, edition of relevant textbooks (DHCP/IP, lambda, etc.).
Is the Antitrust Policy Trustful? (I) - Strategy Machanism of Lockefeller’s Monoploy
Authors: Luo James L.
Published: January 2020

This paper develops a non-equilibrium concept to deal with the competition process in the free market and designs time-featured models to analyze the cases of Rockefeller’s monopolization rather than the oligarch models based on Nash equilibrium. It derives some results that are quite different from popular perception of monopoly and reject all accusations of antitrust laws. The conclusion applies to a wide class of markets and extends its application to the field of lawmaking.