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All Journal Jurnal Mantik Penusa MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Nasional Komputasi dan Teknologi Informasi JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) ComTech: Computer, Mathematics and Engineering Applications Jurnal Mantik TRIDARMA: Pengabdian Kepada Masyarakat (PkM) Jurnal Teknik Informatika C.I.T. Medicom Journal of Intelligent Decision Support System (IDSS) INFOKUM Journal of Innovation Information Technology and Application (JINITA) Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Journal of Computer Networks, Architecture and High Performance Computing International Journal of Basic and Applied Science Jurnal Mandiri IT Jurnal Nasional Teknologi Komputer LEBAH Journal of Computer Science and Research International Journal of Enterprise Modelling Indonesian Journal of Education And Computer Science
Fristi Riandari
STMIK Pelita Nusantara
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Journal : Jurnal Mantik

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Analysis of Disease in Plants Guava Demspter Shafer Method Using Web Based in the village of Paradise Sei Rampah: Analysis of Disease in Plants Guava Demspter Shafer Method Using Web Based in the village of Paradise Sei Rampah Adjie Bintang Pamungkas; Fristi Riandari
Jurnal Mantik Vol. 3 No. 3 (2019): November: Manajemen, Teknologi Informatika dan Komunikasi (ManTIK)
Publisher : Institute of Computer Science (IOCS)

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Abstract

Cashew water is known by the Latin name Syzgiumaqueum. According to experts there are two subgroups taxonomy guava, guava fruit is small that the average acid (Syzygium aqueum) and large fruit guava and sweet (Syzqium samarangense). In terms of cultivation, handling guava honey was not easy. During this time the problem occurred in the field is the lack of knowledge of the owner of the types of pests and plant diseases guava honey so frequent misdiagnosis resulted in delays in menagani plant pests and diseases. In analyzing or diagnosing diseases in plants guava honey, the author uses the method Dempster Shafer. With the expert system analysis of the disease can help owners in knowing the disease and how to handle them. Dempster Shafer is a mathematical theory of evidence based belief functions and plausible reasoning (function beliefs and thoughts that makes sense) are used to combine separate pieces of information to calculate the probability of an event. Testing applications using the programming language PHP and MySQL database
Decision Support System for Determining the Best Wood For the Production Cabinet Using Bayes Method: Decision Support System for Determining the Best Wood For the Production Cabinet Using Bayes Method Roimasro Sibagariang; Fristi Riandari
Jurnal Mantik Vol. 3 No. 3 (2019): November: Manajemen, Teknologi Informatika dan Komunikasi (ManTIK)
Publisher : Institute of Computer Science (IOCS)

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Abstract

Wood in the furniture company is a material that is needed in the manufacture of a product, for example in the manufacture of cabinets or other furniture products. Furniture companies at this time often have problems in determining wood for good quality and lack of knowledge in good wood specifications to be used as materials for making wood crafts, furniture companies only think of orders and do not consider the results of craftsmanship produced from raw materials is wood where to determine a production in order to get quality that is of a quality wood drought must be considered.
Decision Support System Feasibility Lending At KSU Mitra Karya Cooperative Customer Unit XXVIII with Analytical Hierarchy Process Method: Decision Support System Feasibility Lending At KSU Mitra Karya Cooperative Customer Unit XXVIII with Analytical Hierarchy Process Method Temasokhi Ndruru; Fristi Riandari
Jurnal Mantik Vol. 3 No. 3 (2019): November: Manajemen, Teknologi Informatika dan Komunikasi (ManTIK)
Publisher : Institute of Computer Science (IOCS)

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Abstract

Decision Support System (DSS) is a system that can assist a person in making accurate decisions and targeted. Many problems can be solved by using CMS, one of which is determining the feasibility of a credit recipient customers. There are several methods that can be used in building a CMS one of them is the Analytical Hierarchy Process (AHP). AHP is yan method most widely used in solving problems that are multiple criteria, such as the eligibility determination SPK customer credit recipients. This study using AHP in determining credit worthiness recipient customers on Business Multipurpose Cooperative Unit of Work Partners XXVIII. In determining the credit worthiness of customers receiver, there are several criteria on which to base decisions, among others Dwelling, Income, dependents, and The work. The end result of this research is the result of global priority customer criteria, sorted from highest to lowest, so the cooperative can easily make decisions by looking at the results.
Implementation Of C4.5 Algorithm To Analyze Library Satisfaction Visitors: Implementation Of C4.5 Algorithm To Analyze Library Satisfaction Visitors Fristi Riandari; Hengki Tamando Sihotang
Jurnal Mantik Vol. 4 No. 2 (2020): Augustus: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol4.2020.875.pp1076-1084

Abstract

Measuring visitor satisfaction, especially in the library, is very important to note considering the library is a means intended to help the academic process or add insight to visitors. Measuring library visitor satisfaction is very important to note whether the services expected by visitors are in accordance with what is received, which will greatly assist the university in processing the library so that it can be used properly, so that the books provided can be of maximum use and not only the quality of service provided for the library provided can be an attraction for visitors to become fond of visiting the library reading books that will help academically the average visitor is a student. The system needed is the Data Mining Application in Measuring Satisfaction of library visitors at STMIK Pelita Nusantara. Where library visitors will be objects that provide an assessment / opinion on variables that have characteristics, namely Tangiable, Reability, Responsivnes, Assurance, Empathy. This system was built with the C4.5 algorithm and the Testing system with the application RapidMiner Studio 9.7.
Development of an Expert System for Early Detection of Heart Disease Using The Bayes Theorem Method Fristi Riandari; Ritha Zahara Tarigan
Jurnal Mantik Vol. 4 No. 3 (2020): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol4.2020.1119.pp2271-2276

Abstract

Coronary heart disease (CHD) is the leading cause of death and disability in developed and developing countries. In 2014 it was also reported that coronary heart disease is one of the causes of death for both men and women, starting in the 25-29 age group and increasing with age. The highest prevalence of coronary heart disease as a cause of death in the 60-64 year age group and in the 70-74 year age group. The development of science and technology has made information technology usable in various fields including health. So it is hoped that by making an application that can make it easier for users to detect heart disease early and independently. The purpose of this study is to build an application by implementing an expert system using the website-based Bayes Theorem method as a tool for diagnosing heart disease. This application was built using the web programming language & MySQL database. Expert system application to help detect heart disease early.
Classification of Book Types Using the Support Vector Machine (SVM) Method Fristi Riandari; Hengki Tamando Sihotang; Tarisa Tarigan; Muhammad Rafli
Jurnal Mantik Vol. 6 No. 1 (2022): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

This study aims to create a model that can classify book types based on several categories and analyze the accuracy results of the Support Vector Machine (SVM) method. This research begins with the stages of data collection, namely the dataset of books obtained from the library. Furthermore, the dataset will be categorized into several types. The next stage, after the data is collected, will be carried out in the pre-process stage. This pre-process stage aims to prepare data so that it is ready to be processed in the feature extraction stage. The pre-processing stage consists of text segmentation, case folding, tokenization, stopword removal, and stemming. Next, the feature extraction stage will be carried out which aims to explore potential information and represent words as feature vectors. The next stage is to separate the training data and test data. Then the classification process is carried out using the SVM multiclass method to get the final result of modeling. The resulting classification results will then be evaluated in order to obtain an accuracy value and then will be analyzed whether the resulting classification model is feasible to implement.
Student Graduation Value Analysis Based On External Factors With C4.5 Algorithm Fristi Riandari; Hengki Tamando Sihotang; Rohit Gautama; Sethu Ramen
Jurnal Mantik Vol. 6 No. 2 (2022): August: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v6i2.2784

Abstract

Data mining is the process of extracting data into information that has not previously been conveyed, with the right techniques the data mining process will provide optimal results. Data Mining is divided into several methods. Data classification is a process of finding the same properties in a set of objects in a database and classifying them into different classes according to the defined classification model. The purpose of classification is to find a model from the training set that distinguishes attributes into the appropriate category or class, the model is then used to classify attributes whose class has not been previously known. The classification technique is divided into several techniques, one of which is the Decision Tree. One of the existing approaches in the classification technique is the C4.5 algorithm. The C4.5 algorithm is an approach in data mining classification techniques that can predict students' final grades. The variables used in analyzing the passing grades will be classified based on their attributes. The C4.5 algorithm with the decision tree method can provide predictive rule information to describe the process associated with analyzing student passing grades. The characteristics of the classified data can be obtained clearly, both in the form of a decision tree structure and rules so that in the testing phase the RapidMiner software can help predict student passing grades. With the formation of rules that can become new information that can be used as a tool in analyzing student passing grades.
Co-Authors Adjie Bintang Pamungkas Afifa, Rizky Maulidya Afrisawat, Afrisawat Afrisawati afrisawati, Afrisawati Agustina Simangunsong Aisyah Alesha Arjon Samuel Sitio Baik Sepwanri Sinaga Barreto Jose da Conceição Benny Ginting Bosker Sinaga Chandra, Suherman Christina Simanjuntak Cristy, Niolinda Dalimunthe, Yulia Agustina Danvy Nadhira Dedi Setiawan Halawa Demita Sihotang Dewi Novika Simanjuntak Dimas Ribowo Esera Gulo Ginting, Ramadhanu Hamed Huckle Schubert Hasugian , Paska Marto Hasugian, Penda Sudarto Hengki Tamando Sihotang Husain Husain Ibnu Rizky John Foster Marpaung Judijanto, Loso Lamhot Situmorang Lise Pujiastuti Marsoit, Patrisia Teresa Mochamad Wahyudi Muhammad Rafli Muhammad Syaif Nasib Ratna Sari Purba Nellysa Putri Denila Nasution Novita Ria Lase Nurul Hayani Petti Indrayati Sijabat Pilisman Buulolo R. Mahdalena Simanjorang Ramayuni Marpaung Rehentiara Siringoringo Rian Syahputra Rita Zahara Tarigan Ritha Zahara Tarigan Ritonga, Rama Prameswara Rohit Gautama Roimasro Sibagariang Safitri, Habibi Ramdani Sari Murni Sarjon Defit Sethu Ramen Sihotang , Jonhariono Sim, Lee Choi Simangunsong, Agustina Sinaga, Baik Sepwanri Siringoringo, Rimmar Siti Ilya Suwella Situmorang, Lamhot Song , Jiang Lou Subowo Subowo Subowo Subowo Sulistianingsih, Indri Susandri, Susandri Tarisa Tarigan Tasril, Virdyra Temasokhi Ndruru Teresia Herniamwati Zebua Vina Winda Sari Vinsensia, Desi Wan Wimar Yahya Weno Syechu Yuda Perwira Yunus Simare-mare