Search

Logika fuzzy dapat mengatasi ketidakmampuan matematika konvensional untuk model sistem nonlinear. Fuzzy sugeno merupakan salah satu metode yang sering digunakan dalam logika fuzzy. Penggunaan metode sugeno dapat mengatasi masalah sistem non linear. Kelemahan dari logika fuzzy adalah meningkatnya beban komputasi yang bertambah secara eksponensial seiring dengan bertambahnya jumlah variabel dan jumlah aturan dalam logika fuzzy. Beberapa cara telah dilakukan oleh para peneliti sebelumnya untuk mengurangi beban komputasi, diantaranya dengan mengurangi sejumlah aturan dalam logika fuzzy. Mengurangi sejumlah aturan akan berdampak pada tingkat akurasi fuzzy yang berkurang. Pada penelitian ini, menggunakan algoritma C4.5 sebagai optimasi rule fuzzy. Hasil perbandingan metode fuzzy sugeno yang diintegrasikan dengan algoritma C4.5 mendapatkan hasil akurasi sebesar 88,57 %. Jumlah luaran yang awalnya 288 rule menjadi hanya 57 rule, hal tersebut menyebabkan beban komputsi berkurang. Disamping beban komputasi yang berkurang, hal tersebut berdampak pada berkurangnnya tingkat akurasi.

Students at almost all levels of education are required to be technology literate, especially information technology. In addition to supporting educational activities, it also supports students in solving administrative problems. One of the software that can be used to support education and administrative issues is Microsoft Office. The application has many features that are still not familiar to some users, especially students. This was experienced by STT Baptist Medan who was not familiar with the many tools provided in Microsoft Word, Microsoft Excel, and Microsoft PowerPoint software. Some of the obstacles that are often encountered are the less than optimal use of the merge function in Word, the function of conditional formulas in Excel and animation, and multimedia in PowerPoint. During the implementation of service activities, it was concluded that the importance of direct Microsoft office training to students, especially study programs outside of computers. In the implementation of the training, students are able to use Microsoft Excel to manage numerical data. Microsoft word in managing data. Also the use of Microsoft PowerPoint in making presentations.

Untuk dapat memenangkan persaingan pasar, perusahaan menggunakan strategi pemasaran yang tepat agar dapat bertahan dan memenangkan pasar. Perusahaan yang baru berkembang perlu menyusun aturan layanan pemasaran untuk keberlanjutan perusahaan yang mampu bersaing secara mutu maupun kualitas. Sebagai perusahaan e-commerce yang baru berkembang PT. Prisma Mas Semesta memerlukan strategi pemasaran yang mampu membantu pengambil keputusan agar dapat memperkenalkan produk maupun jasa pada masyarakat. Metode yang digunakan untuk menganalisis penentuan strategi pemasaran barang menerapkan metode Analytic Hierarchy Process. Data penelitan dikumpulkan dari perusahaan penjualan barang online PT. Prisma Mas Semesta website duniadapur.co.id. Dalam menentukan strategi pemasaran barang terdapat 6 kelompok kriteria yaitu Managerial Capabilities, Customer Linking Capabilities, Market Innovation Capabilities, Human Resource Assets, Capabilities In Product Distribution, dan Reputational Assets. Berdasarkan perhitungan metode AHP, nilai Eigen kriteria dan alternatif diperoleh hasil perangkingan yaitu Differentiation Strategy memiliki nilai preferensi 0.59 sebagai Ranking 1, Cost Leadership Strategy memiliki nilai preferensi 0. 274 sebagai Ranking 2, dan Market Segmentation Strategies nilai preferensi sebesar 0.136 sebagai Ranking 3. Dapat disimpulkan bahwa alternatif yang berada di peringkat atas adalah Cost Leadership Strategy dengan nilai 0.59. Dalam strategi ini Dunia Dapur berusaha menekan biaya produksi, sehingga laba bersih dapat menguntungkan yang akan meningkatkan angka penjualan dan market share.

The system supports the company's performance appraisal using the AHP (Case Study: PT. Andhy Putra) method, one of which is to find, select, assess and determine the best employees every year to match the abilities and assessment criteria applied so far. PT. Andhy Putra while assessing employee performance, especially in CME and OSP, still experiences shortcomings and weaknesses in determining qualified employees. This employee performance system has problems in assessing the performance appraisal data that is less accurate, which is carried out on a paper-based basis and requires less efficient time and large costs. For that, we need a decision support system in helping PT. Andhy Putra to conduct a performance appraisal every year. The method used in this employee assessment is AHP (Analytical Hierarchy Process), which is often also known as the weighting method. The process hierarchy analytical method is one of the methods used to find weight values ​​based on existing criteria and helps facilitate the ranking of alternatives based on the distance between the positive ideal solution and the negative ideal solution. There are 5 (five) criteria as a tool to assess employee performance, namely commitment to the company, desire for achievement, cooperation, leadership and discipline accompanied by the results of the implementation of this process hierarchy method in the form of ranking the alternatives used. This decision support system is built using the PHP programming language and MySQL database

Poultry farming in Indonesia is still not successful in meeting some of the domestic needs, including being vulnerable to attacks by dangerous animal diseases. People are also restless because of dangerous diseases from chickens that can be transmitted to humans due to consuming chicken meat that has been infected with the disease. The case study in conducting research to diagnose free-range chicken disease was carried out at the Bang Ari Chicken Farm on Jalan Jamin Ginting Pamen Complex No.14 Padang Bulan, Medan Baru District, Medan City. The required criteria data is the type of disease and symptoms of the disease that attacks native chickens as well as the treatment actions that will be taken against the diseased chickens according to the disease experienced. This study aims to build a web-based expert system in diagnosing free-range chicken diseases using the certainty factor method. From the case example, the results of the calculation of certainty factor on the symptoms of free-range chickens, the disease that has the largest percentage value is P 7, namely Chronic Cough Disease of 97.50%. The system for diagnosing free-range chicken disease was built using a web-based programming language and MySQL database.

Banyaknya anak-anak yang mengalami kesulitan dalam belajar sehingga berdampak buruk pada prestasi belajar sang anak. Kesulitan tersebut bukan disebabkan oleh kemalasan sang anak melainkan karena penyakit dyslexia. Penyakit ini sering tidak dipahami atau diketahui dilingkungan nya termasuk orang tuanya sendiri sehingga banyak anak-anak yang sering dianggap bodoh dan lamban dalam belajar. Sistem pakar dapat digunakan untuk membantu memecahkan masalah dalam hal membantu masyarakat terutama orang tua karena keterbatasan biaya dan minimnya dokter dalam menentukan terapi pengobatan. Penelitian ini menggunakan 3 jenis penyakit dyslexia yang diambil dari pakar yaitu dyslexia visual (penglihatan), dyslexia auditoris (pendengaran) dan dysgraphia (bentuk tulisan) dengan 17 gejala. Pembuatan aplikasi sistem pakar berbasis web ini menggunakan PHP dan MySQL sebagai databasenya serta metode naïve bayes. Berdasarkan penelitian ini dapat diambil kesimpulan bahwa sistem pakar diagnosa penyakit dyslexia pada anak dengan metode naïve bayes berbasis web telah berhasil dibangun dan memberikan hasil diagnosa penyakit dengan nilai klasifikasi tertinggi sebagai hasil akhirnya.

Proses pemilihan siswa penerima BSM dilakukan secara manual yang berdampak penentuan data BSM kurang efektif dan adanya kesamaan informasi dari berbagai siswa sehingga membuat pihak sekolah sulit menyaring siswa yang benar-benar layak yang mendapatkan BSM. Tujuan dari penelitian ini adalah membangun sistem pendukung keputusan dengan menggunakan metode MOORA untuk menentukan calon siswa penerima BSM tersebut. Penelitian ini memiliki 6 kriteria yaitu Pendapatan Orang Tua, Tanggungan Anak Sekolah, Pekerjaan Orang Tua, Nilai Raport, Status Orang Tua, serta Mempunyai Kartu Program Pemerintah. Perancangan sistem yang akan dibangun menggunakan PHP sedangkan MySQL sebagai databasenya. Berdasarkan hasil penelitian maka dapat disimpulkan, bahwa sistem pendukung keputusan dengan menggunakan metode MOORA telah berhasil dibangun dan mampu melakukan proses seleksi penerima BSM sehingga dapat memberikan 50 siswa yang menjadi rekomendasi siswa penerima BSM.

Clove is a type of spice plant that has many benefits. The part that is often used from the clove plant is the flower bud. Usually it will go through a drying process before it is finally consumed or used. The method used to determine land suitability for clove plants is the profile matching method. The data used in determining the suitability of land for clove plants was obtained by using observation and interviews with employees at the address of Kuta Galuh Village, Tiga Ndreget District, Karo Regency. The system for determining land suitability for clove plants was built using a web-based programming language and MySQL database. The purpose of this study was to determine the suitability of land for clove plants in Tiga Ndreget District, Karo Regency. Calculation of ranking determination The final result of the profile matching process is ranking. Determination of ranking refers to the results of certain calculations. The results of the calculation of the profile matching method include Kuta Galuh Village with a Final Score of 5.02 Ranking 1, Nari Gunung Village with a Final Score of 4.98 Ranking 2, Tanjung Belang Village with a Final Score of 4.56 Ranking 3.

WhatsApp merupakan salah satu aplikasi pesan instan yang banyak di gunakan saat ini. WhatsApp memungkinkan pengguna membuat grup. Sering pesan pada grup tidak terbaca dan terabaikan oleh anggota grup. Perlu dilakukan analisa waktu yang tepat sebuah pesan direspon anggota grup dengan cepat sehingga informasi dapat disampaikan dengan baik pada semua anggota. Penelitian ini melakukan explorasi WhatSapp Group “Gurauan kita STMIK Amik” untuk menentukan waktu terbaik menyampaikan pesan dengan metode timeline serta menganalisis anggota yg berjumlah 32 orang, emoji dan sentimen. Pada Analisis sentimen dari 1095 total pesan, sentimen positif 35.53% dan sentimen negatif 64.47%. Respon emoji dari anggota sebanyak 46% menggunakan pesan emoji diatas 50% dan 34% anggota menggunakan emoji dibawah 50% sedangkan 18 % anggota tidak pernah menggunakan emoji. Dalam penelitian ini dari proses timeline dapat disimpulkan waktu terbaik untuk mengirimkan pesan pada hari selasa dan jum’at pada jam 10, 13 sampai 15 siang dan jam 20 pada malam hari.

— Adanya permasalahan yang dihadapai masyarakat adalah masyarakat tidak bisa memberikan penilaian kepuasan terhadap pengurusan izin uasaha mikro dan kecil, hal ini membuat pegawai tidak bias mengukur kepuasan masyarakat untuk meningkatkan kualitas pelayanan di kantor camat. Dalam mengambil keputusan diperlukan sebuah sistem yang dapat menentukan tingkat kepuasan masyarakat berdasarkan kriteria yang ditentukan oleh pengguna. Penerapan Metode Servqual Dalam Menentukan Tingkat Kepuasan Masyarakat Terhadap Pelayanan Pengurusan Surat Izin Usaha Mikro Dan Kecil Pada Kantor Camat Dolat Rayat Kabupaten Karo. Metode Servqual adalah suatu kuesioner yang dapat mengukur kualitas jasa. Metode ini digunakan untuk mengukur kualitas layanan dari atribut masing-masing dimensi, sehingga akan diperoleh nilai gap (kesenjangan) yang merupakan selisih antara persepsi konsumen terhadap layanan yang diterima. Metode Servqual memiliki dua perspektif internal dan perspektif eksternal. Perspektif internal didefenisikan dengan bebas kesalahan (zero defect) sedangkan perspektif eksternal digunakan untuk memahami apa yang diharapkan konsumen, dirasakan konsumen dan kepuasan konsumen.Kata kunci: Pelayanan, Kepuasan Masyarakat, Penilaian, Metode Servqual Abstract— There is a problem faced by the community is that the community cannot provide an assessment of satisfaction with the management of micro and small business permits, this makes employees not biased to measure community satisfaction to improve service quality in the camat office. In making decisions, we need a system that can determine the level of community satisfaction based on criteria determined by the user. Application of the Servqual Method in Determining the Level of Community Satisfaction with Services for Managing Micro and Small Business Licenses at the Sub-District Office of Dolat Rayat, Karo Regency. The Servqual method is a questionnaire that can measure service quality. This method is used to measure the service quality of the attributes of each dimension, so that a gap value is obtained which is the difference between consumer perceptions of the services received. The Servqual method has two internal perspectives and an external perspective. The internal perspective is defined as being free of errors (zero defect), while the external perspective is used to understand what consumers expect, feel and customer satisfaction.Keywords: Service, Community Satisfaction, Assessment, Servqual Method

— Proses rekrutmen masih memanfatakan prinsip konvensional dalam pengolahan data sehingga memungkinkan terjadinya perubahan angka-angka ataupun nilai masing-masing calon dan tentunya ada pihak yang dirugikan, dalam proses pengolahan data membutuhkan waktu yang lama. Temuan yang lainnya adalah terjadinya penumpukan berkas karena syarat adminsitrasi membutuhkan berkas-berkas dari para calon yang mendaftar. Data diperoleh dari BKD (Badan Kepegawaian Daerah) Kabupaten Karo. Kriteria Berdasarkan Peraturan Daerah Kabupaten Karo yaitu Tes Kompetensi, Uji Gagasan Tertulis, Uji Gagasan Lisan, Rekam Jejak. Dengan bantuan perangkat lunak brainware dapat membangun sistem melalui Bahasa pemrograman. Pada Aplikasi Sistem Pendukung Keputusan ini Perangkat lunak yang digunakan untuk membangun sistem Pendukung Keputusan dengan Menggunakan Metode SAW (Simple Addictive Weighting). Aplikasi yang dikembangkan berbasis web dengan menggunakan PHP dan Mysql. Nilai terbesar ada pada V1 dan V3 sehingga alternatif V1 dan V3 adalah alternatif yang direkomendasikan oleh Sistem dengan nilai yang sama yaitu 1.Kata kunci: rekrutmen, kriteria, perangkingan, SPK, SAW Abstract— The recruitment process still utilizes conventional principles in data processing so as to allow changes in the numbers or values of each candidate and of course there are parties who are disadvantaged, in the data processing process it takes a long time. Another finding is the accumulation of files because the administrative requirements require documents from the registering candidates. Data obtained from BKD (Regional Civil Service Agency) Karo Regency. The criteria based on the Karo Regency Regional Regulation are Competency Test, Written Idea Test, Oral Idea Test, Track Record. Decision Support Using the SAW (Simple Addictive Weighting) Method. The application is developed based on web using PHP and Mysql. The biggest values are in V1 and V3 so that the alternatives V1 and V3 are the alternatives recommended by the system with the same value, namely 1.Keywords

The process of teacher performance assessment Effectively, precisely, Objectively, and transparently is the important point in selecting the best teacher assessment based on their performance. This assessment was Carried out in SMP Negeri 2 One Roof STM Hilir to avoid the accusations of Injustice and family relationship with the assessor in the school, both the Headmaster and the teacher selection committee. Therefore, a decision system is needed in selecting the decision. One method is the which can be used in solving the problem of Multiple Criteria Decision Making (MADM) is by using Simple Additive weighting (SAW) method, Because The method concept is so easy to understand, simple, effective computationally and has ability in measuring the relative performance of alternative decisions in mathematical form. In addition, Also the design application used UML (Unified Modeling Language) is implemented a system roomates in the software by using Web Programming and MySQL as its database. Finally, based on the design of this application, it can be seen that the decision system by using SAW method is very effective, fast, computerized and transparent accurately in Determining the teacher performance in SMPN 2 One Roof STM Hilir.

Decision support system is a combination of sources of individual intelligence with the ability of components to improve the quality of decisions. Also decision support systems are computer-based information systems for management decision-making that deal with semi-structural problems. The purpose of this study is to the make the application of nurse employees in Grandmed Hospital Based on the results of research that has been Discussed items, namely the Decision Support System for Determining the Best Nurses in Grandmed Hospital by Using the Simple Additive Wieghting (SAW) Method with the benefit of being Able to Facilitate the processing of the data and Facilitate nurse in Determination of the best nurse for a promotion to a nurse at Grandmed Hospital

Supplier is very important for companies in services or goods, as well as parts procurement of medicines a Hospital, Hospital GrandMed is one of the largest hospital in Deli Serdang it's important to select suppliers for the procurement of drugs to be maintained and sustained quality of drug availabilitydrug and drug procurement logistics section to selectively choose a supplier with specific criteria so that the process of drug procurement at the Hospital GrandMed running properly and efficiently. The purpose of this study is to develop a decision support system to determine which is the best supplier priority Hospital medicine order so that can always keep the availability of drugs in terms of both the quality of medicines, price and delivery time. Data supplier in view of the historical kesupplier reservations about the company address, price, variants possessed drugs and drug quality and backed by the method of Weighted Product to support the decision which supplier to choose a priority determination. The results of this research program is to create a ranking and determination in the supplier selection GrandMed Hospital.Supplier selection decision support system with Weigthed method GranMed Product Hospital has been able to be built with UML and created with Visual Basic programming language in 2008.

The Inappropriate Home Assistance Program (PRTLH) or Home Renovation is assistance provided by the government to people who are Unable to reduce the economic burden. This assistance can be Obtained if the prospective beneficiary meets the specified criteria and conditions. This research is motivated by the house renovation assistance to the community is still subjective, less objective in the selection of the data and the weakness of the system used today. Therefore to help in the selection, a system for decision support was made in Determining the prospective recipient of house surgery assistance using the web-based TOPSIS method using a MySQL database, so that it can help smooth the evaluation process in the selection of subsequent home surgery recipients.

Unsecured loans are the community's choice for lending to banks that provide Reviews These services. PT. RB Diori Ganda is a regional private banking company that serves savings and loans and loans without collateral for the community. Submission of unsecured loans must go through an assessor team to process the analysis of the attributes that Affect the customer's classification so that credit can be approved, the which is then submitted to the commissioner for credit approval. But what if Reviews those who apply for credit on the same day in large amounts, of course this will the make the process of credit analysis and approval will take a long time. If it is seen from the many needs of the community to apply for loans without collateral, a classification application is needed, in order to Facilitate the work of the assessor team in the process of analyzing the attributes that Affect customer classification. To find out the classification of customers who apply for unsecured loans for using data mining with the K-Nearest Neighbor algorithm. The result of this research is the classification of problematic or non-performing customers for credit applications without collateral.

In this study, the authors conducted research to apply the Certainty Factor Method to Diagnose Diseases in Livestock and build applications in the application of Reviews These methods. Information technology is now a staple in developing a field. Along with the development of the times, proper information management is needed, so we need an Appropriate computational method. In this case the expert system method is one way to find out or identify diseases in poultry that have been infected with bacteria or viruses. A form of management information system specifically created to support a plan in making decisions to solve a case or problem. Artificial Intelligence (Artifical Intelligence) is one part of computer science that makes machines (computers) can do work as and as well as humans do. Expert System is one of the Artificial Intelligence techniques that attempts to adopt human knowledge into computers, so that computers can solve problems as is usually done by experts. Diagnosing disease in poultry is currently a problem that is still underestimated for most people, this is due to lack of knowledge or lack of information in terms of Overcoming and Preventing Contaminated, viruses or bacteria. Certainty Theory Theory was suggested by Shortlife and Buchanan in 1975 to a accommodate the uncertainty of thinking or inexact reasoning of an expert. Phrases like "maybe", "most likely", "almost Certain". To a accommodate this, Researchers conducted a certainty factor method to describe the level of expert confidence in problems in diseases Suffered by chickens already infected with dangerous viruses.

Indonesia is the third-largest country in the world with rice production reaching 83,037,000 and became the highest production in southeast Asia spread in several provinces in Indonesia The problem found that such product has not been able to cover the needs of Indonesian people with a very high population so that in the research conducted information excavation to generate potential to the pile of data that has been described and analyzed by BPS with clustering topics. Clustering will help related parties, especially the ministry of agriculture, in determining land development priorities and can minimize the shortage of rice production nationally. Grouping process by involving the K-means algorithm to group rice production with a combination of the elbow method as part of determining the number of clusters that will be recommended with attributes supporting the area of harvest, productivity, and production. Method of researching with data cleaning activities, data integration, data transformation, and application of K-means with a combination of elbow and pattern evaluation. The results achieved based on the work description with a combination of K-Means and elbow provide cluster recommendations that are the best choice or the most optimal is iteration 2 which is the lowest rice production group with a total of 22 provinces, rice production with a medium category of 9 and production with the highest category with 3 regions

Big data refers to big data, fast data processing, diversity of data structures, and data values so that it is not possible to be processed with outdated methods. Big data technology is used in various industrial sectors. Big data technology is the whole technology that can handle Big Data. Some of the uses of big data are based on the largest significant data traffic sources such as social media, financial transactions, public data, sensor data, and corporate data. The same is the case with the status of so many villages in Indonesia, so it is better to use big data for the classification of village status based on the village index build by involving an algorithm process. This research aims to produce a description of the role of big data in supporting activities in a grouping. The method used is a qualitative approach related to data collection based on scientific work with the source of data information needed to study literature techniques from various studies that have been published in national and international journals. A decision is made that big data has been widely used in different circles to facilitate performance and speed up the decision-making process.

Big data technology is the overall technology that can handle the processing associated with analyzing the data to explore the potential that is in it. Some of the uses of big data are based on the biggest data traffic sources, such as social media, financial transactions, public data, censorship data, and company data. The problem found in the accumulation of village status data that has not been utilized in the decision-making process to determine the status of the next village and the absence of an application to process the data stored in the data database so that a tool is developed to analyze the buildup. The results of this study are to produce a prototype design that is Unified Modeling Language (UML) design, Form Design, and Database Design that will be used to develop Big Data Technology in determining the classification of village status based on the Village Build index.

Data mining is a technique of extracting information that has not been known before in a collection of data in the database. Data mining has been applied in various fields that require extracting information, some of the work that can be generated with data mining is classification, prediction, and data grouping. In this study, an analysis of village data collection was carried out to explore the potential or knowledge of the data that has been presented with the main objective of producing a grouping of village status. To support clustering or grouping activities the K-means algorithm used with the general process is to carry out the modeling process without supervision and is one of the methods for grouping data with a system partition, with the principle of allocating each data to the centroid or the closest average, work steps conducted in support of this research is to collect data related to the analysis of data grouping and proceed with the calculation process in accordance with the work steps of the K-means algorithm, the amount of data used as a test of 303 villages scattered in the old Padang regency. The results of calculations by displaying a new group of Cluster 0 is occupied by 120 villages, cluster 1 with a total data of 123 villages, Cluster 2 with a total of 6 villages, cluster 3 with a total of 33 villages while cluster 4 with a total of 21.

There are approximately 20 tourist objects in the Karo Regency area that are close to each other, such as Gundaling Hill, Lumbini Nature Park, Fun Land Mickey Holiday and other places. The main problem is designing a system using the SPK in determining the priority of regional tourist destinations in Karo Regency using the TOPSIS method. Problem solving steps are carried out from problem identification, determining alternative solutions to problems that arise so that the best decisions can be made. The weight of the criteria to determine the preferred criteria. The greater the weight, the more priority. Weights for each criteria for determining priority destination of tourist attractions, Distance from Berastagi (weight 30%), Facilities and Facilities (weight 15%), Access (15%), Type of Tourism (weight 20%), Entrance Fee (Weight 15%), Culinary (weight 5%), and internet network (5%). The preference value (V) produces alternatives that are ordered from largest to smallest. The biggest preference is tourism priority, in this case Kubu Berastagi Hill becomes a priority destination based on criteria.

Consumer purchasing patterns are a form of purchases made by consumers, whether someone or a lot of people to get the desired item by making a purchase transaction. One characteristic of the purchase pattern is the existence of acquiring something through exchanging money. This study aims to create an application that is used in determining consumer purchasing patterns by applying a priori algorithms and using Visual Basic 2010 as a tool for determining consumer purchase patterns. This application uses a priori algorithm calculation method where the sample consumer purchase data will be sorted and calculated by providing the value of the minium support and configuration parameters and based on the results of confidence the largest number of conclusions such as: can be used as information for determining sales, the application of a priori algorithms can provide information pattern combination item set from consumer purchase data that is with support above 15% and confidence above 50% on item set.