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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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Penerapan Algoritma C4.5 Untuk Mengukur Tingkat Kepuasan Mahasiswa Riandari, Fristi; Simangunsong, Agustina
Jurnal Mantik Penusa Vol 3, No 2,Des (2019): Manajemen Dan Informatika
Publisher : Pelita Nusantara Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (559.265 KB)

Abstract

Measuring student satisfaction is very important to note given the high level of competition in the education world as knowledge and technology develops. In measuring student satisfaction it is very important to consider whether the services expected by students are in accordance with what is received. Measuring student satisfaction will greatly help a university in improving the quality of service which will also have an impact on increasing the number of students. The system that is needed is the Application of Data Mining in Measuring Student Satisfaction. Where students 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 Testing system with RapidMiner 7.5 application rocks
Linear Regression Analysis To Predict The Length Of Thesis Completion Fristi Riandari; Hengki Tamando Sihotang
INFOKUM Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2060.102 KB)

Abstract

Students who carry out knowledge in the undergraduate program will certainly be faced with the preparation of a thesis at the end of their study period. However, every year students still find it takes longer than the time specified in completing their thesis. This is caused by several things, such as students who are working, working hours that do not support the implementation of thesis preparation, students who already have families and other factors. This of course makes universities have to prepare special strategies in order to reduce the number of students who cannot complete their thesis on time in the future, one of which is with a decision support. This can be done by utilizing university big data. Prediction of the length of time for completion of college student thesis can be done by utilizing data mining and a simple linear regression approach. Using 1 independent variable, namely the average inhibiting factor (Working Status, Working Hours, Work Sip, Guidance Media, Status) (X1) and the number of days of thesis completion being the dependent variable (Y). After looking for the regression value of b and constant a, then the simple linear regression equation model is: Y = 280.450 + 1.650 X.
Penerapan Metode Teorema Bayes Pada Sistem Pakar Untuk Mendiagnosa Penyakit Lambung Sari Murni; Fristi Riandari
JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Vol. 1 No. 2 (2018): Jutikomp Volume 1 Nomor 2 Oktober 2018
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jutikomp.v1i2.226

Abstract

Penyakit lambung dapat dialami oleh siapapun, secara tiba-tiba lambung terasa sakit tidak menentu. Rasa sakit lambung dapat diatasi dengan minum obat. Tidak mudah mengenal sakit yang disebabkan gangguan pada lambung. Terkadang masuk angin yang berlebihan dan terus menerus dapat mengakibatkan gangguan pada lambung. Lambung merupakan organ pencernaan yang berbentuk seperti kantong dan terletak diperut kiri rongga perut di atas diafragma, terdiri dari Kardiak, Fundus, dan Pyorus. Menurut kepakaran penyakit lambung terdiri dari Penyakit Gastritis, Penyakit Dyspepsia, Penyakit GERD (Gastroesophageal Reflux Disease). Untuk diagnosa gejala sakit, melalui seorang pakar lambung akan diterapkan sistem pakar dengan metoda Theorema Bayes. Seseorang yang bukan pakar menggunakan sistem pakar untuk meningkatkan kemampuan pemecahan masalah, sedangkan seorang pakar menggunakan sistem pakar untuk knowledge assistant. Perhitungan metode Bayes dalam mendiagnosa penyakit lambung pada sistem pakar dirancang berdasarkan algoritma Bayes yaitu perhitungan sesuai dengan gejala-gejala penyakit yang diderita seseorang. Penyakit lambung diberi kode P01, P02, P03 ; gejala penyakit diberi kode G001 s.d G027. Dari perhitungan metode Bayes diperoleh Nilai Probabilitas dengan ada tidaknya penggunaan Theorema Bayes dalam setiap range. Sistem pakar juga memberi advice pengobatan medis berdasarkan diagnosa penyakit.
Implementasi Metode K-Means Clustering Dalam Pengelompokan Bibit Tanaman Kopi Arabika Benny Ginting; Fristi Riandari
Journal of Innovation Information Technology and Application (JINITA) Vol 2 No 2 (2020): JINITA, December 2020
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (682.187 KB) | DOI: 10.35970/jinita.v2i2.394

Abstract

The emergence of various information on good coffee seeds to be planted has prompted the Agriculture and Plantation Service to group the seeds to be recommended in coffee planting centers in the working area of Sarimunthe Village, Kec. Munte Karo District. Data mining is used to extract valuable information from a dataset and then present it in a format that is easily understood by humans with the aim of making a decision. In this study, data processing for Arabica Coffee seedlings consisted of 30 items, in the Karo Regency Agriculture sector, in preparing the seeds to be distributed to the public, the assessment was divided into 3 phases, namely coffee seeds that did not produce (Phase 0-1 Year), immature (Phase 1-2 years) and produce (Phase 2 years and above). The final result of the grouping of Arabica coffee seedlings is that there are 10 recommended items suitable for planting
The Application of C4.5 Algorithm for Selecting Scholarship Recipients Fristi Riandari; Sarjon Defit
ComTech: Computer, Mathematics and Engineering Applications Vol. 13 No. 1 (2022): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v13i1.7307

Abstract

The scholarship program is one of the promotional techniques used by many universities, and the right scholarship award will certainly be an attraction for many people. STMIK Pelita Nusantara is one of the universities that organizes a scholarship program. In the current difficult economic conditions, the scholarship program is the target of many prospective students who want to continue their education in higher education. However, the absence of tools to process large amounts of data make determining scholarship recipients less effective and time-consuming. This situation is seen by the fact that some students are still unable to maintain the scholarships they receive. In the research, a classification model was proposed using the C4.5 algorithm approach by utilizing past data to facilitate the decision making of the scholarship program. This classification process produced a decision tree that could be used as a decision-making tool. Scholarships were awarded based on several criteria: academic potential, vocational potential, parents’ income, number of dependents, and employment status. Based on the data processing results of students who apply for scholarships in 2020 with predetermined criteria, the highest root is obtained. It consists of node 1 for academic potential, node 1.1 for vocational potential, and node 1.2 for parental income. The resulting decision tree model is expected to help to make decisions quickly and on target.
Perancangan Aplikasi Pemilihan Texapon Dalam Pembuatan Sabun Cair Dengan Menerapkan Metode Analytical Hierarchy Process: Designing the Application of the Selection of Texapon in Making Liquid Soap by Applying the Analytical Hierarchy Process Method Fristi Riandari
Journal of Computer Networks, Architecture and High Performance Computing Vol. 1 No. 1 (2019): Computer Networks, Architecture and High Performance Computing
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnapc.v1i1.47

Abstract

Keberhasilan sebuah produk dari perusahaan tergantung dari kwalitas bahan baku. dan sulitnya dalam menentukan bahan baku secara cepat dan membutuhkan waktu yang lama. Oleh karena itu di perlukan untuk mengatasi masalah tersebut adalah sebuah Sistem Pendukung Keputusan untuk memilih Texapon dalam pembuatan sabun cair dengan metode AHP.Untuk mengetahui hal tersebut, maka akan dilakukan suatu metode pengambilan keputusan multikriteria dengan cara memecahkan situasi kompleks dan tidak terstruktur kedalam bagian-bagian dan menyusunnya dalam hierarki.Dengan menggunakan metode AHP pada SPK maka penentuan Texapon dalam pembuatan sabun cair dapat dihitung berdasarkan perhitungan dari bobot kriteria masing-masing, sehingga dapat memilih Texapon dalam pembuatan sabun cair di dalam perusahaan dapat dilakukan secara cepat.
Implementation of Decision Support System for Determination of Employee Contract Extension Method Using SAW Baik Sepwanri Sinaga; Fristi Riandari
Journal of Computer Networks, Architecture and High Performance Computing Vol. 2 No. 2 (2020): Computer Networks, Architecture and High Performance Computing
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnapc.v2i2.397

Abstract

Effect of rapid technological developments have contributed so as to provide an opportunity to study and analyze a problem. In the company of PT. Cipta Mandiri Agung Jaya, employee contract renewal process is done in less efficient. In general, the process of employee contract extension is carried out by way of division form a contract extension, has not made an assessment atupun evaluation of each employee. Through employee contract renewal process conducted so far gives a great influence to the advancement of the company. On this occasion, in view of the managerial aspects of the formulation of the problem is how to implement the SAW method in the determination of employee contract extension. How to implement a decision support system in the determination of contract extensions employees at PT. Court Of Human Self Jaya, how to design decision support systems in the SAW method using the employee contract extension programming language VB 2010 and the Microsoft Access database. The purpose was to analyze the issue formulation SAW method in the determination of employee contract extension, implementing a decision support system in the determination of contract extensions employees at PT. Court Of Human Self Jaya, pendukunng system design decisions in the SAW method using the employee contract extension programming language VB 2010 and the Microsoft Access database.
Expert System For Personal Computer Mendiagnosa kerusakan Method Using Certainty Factor Yunus Simare-mare; Fristi Riandari
Journal of Computer Networks, Architecture and High Performance Computing Vol. 2 No. 2 (2020): Computer Networks, Architecture and High Performance Computing
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnapc.v2i2.410

Abstract

Along with the development of information technology, computers today have developed rapidly so that they require a higher technology world. Nowadays computers can be made in the category of human needs, Because they can help or human Facilitate work in various fields. The use of computer laboratories at Sei Bamban YAPIM Private Vocational School is very dense, so the level of computer damage is greater, both in terms of hardware and software. Here the author will discuss Expert Systems to Diagnose Damage to Personal Computers, the Certainty Methods Method is one of the Expert System Methods to Be Able to diagnose damage to a Personal Computer. In this case the Certainty Factor method is used to diagnose damage to the Personal Computer through existing symptoms. The damage is taken from symptoms that may occur and then given a decision and provide Appropriate solutions to Overcome damage to the Personal Computer. The symptoms of damage to the Personal Computer will then be changed in the form of applications. To create an application the author uses Microsoft Visual Studio 2010. This thesis will explain the damage report and solutions for Personal Computer.
Determination of the Decision Support System Based on Teacher Performance Rewards Receiver With AHP method on SMK Negeri 1 Beringin Subowo Subowo; Fristi Riandari
Journal of Computer Networks, Architecture and High Performance Computing Vol. 2 No. 2 (2020): Computer Networks, Architecture and High Performance Computing
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnapc.v2i2.413

Abstract

Abstract Teacher performance evaluation of SMK Negeri 1 Beringin Deli Serdang Regency was conducted on 3 teachers as samples of teacher performance appraisal data as material for consideration of the continued relationship of cooperation for the future budget. Components of performance appraisal of teacher performance at VOCATIONAL SCHOOL 1 Beringin Deli Serdang Regency are work performance, performance quantity, performance discipline, cooperation, and loyalty. Problems with the teacher performance appraisal process that occur due to unclear criteria and assessment weights. A method in a decision support system can help the optimal decision making process, the AHP method in determining the performance evaluation of honorary employees. There are three employee performance weights, which are very good, good, sufficient and good enough, from 3 employees who are categorized by performance appraisal, after applying the AHP method, it is obtained Irmala, S.Kom value = 1.139 Iswadi, S.Kom value = 0.739 and Hadi Suprayetno, ST value = 0.79, the three teachers were categorized with very good performance assessments.
Expert System Mediagnosa Hama On Phon Oil With Certainty Factor Method Lamhot Situmorang; Fristi Riandari
Journal of Computer Networks, Architecture and High Performance Computing Vol. 2 No. 2 (2020): Computer Networks, Architecture and High Performance Computing
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnapc.v2i2.416

Abstract

The process of palm oil culture is influenced by various factors, one of which is the pest and disease factors. Generally the problem of farmers differentiating pests and diseases, this is dyed most of the farmers lack information and rely on the experience of other farmers to overcome the existing pest and disease problems. In handling pests and diseases, it is necessary to have a farmer consilant who is able to diagnose pests and diseases on oil palm trees. In this study, an expert system for diagnosing pests and diseases in palm tree plants, as well as providing various solutions for pests or diseases. The method used in this expert system is the Certainty Fators method. Certainty Method The factors was chosen because this method is suitable in the process of determining the identification of pests and diseases and the result of this application is the percentage of the system. The percentage is influenced by the CF value obtained from the system, the percentage of expert system consultations is taken from the highest yield as an alternative to other pests or diseases that attack oil palm tree crops.
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