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INDONESIA
Jurnal Mantik Penusa
Published by Sekolah Tinggi Manajemen Informatika dan Komputer Pelita Nusantara Medan
ISSN : 20883943     EISSN : 25809741     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management
Arjuna Subject : -
Articles 9 Documents
 1 
Search results for , issue "Vol. 22 No. 1 (2018): Special Issue" : 9 Documents clear
Pengujian Algoritma C 4.5 Dengan Aplikasi Weka Dalam Pembentukan Pohon Keputusan Paska Marto Hasugian
Jurnal Mantik Penusa Vol. 22 No. 1 (2018): Special Issue
Publisher : Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (581.276 KB)

Abstract

C4.5 adalah salah satu algoritma yang digunakan untuk melakukan klasifikasi segmentasi ataupun pengelompokan yang bersifat prediktif,  Algoritma C 4.5 Memiliki Kelebihan dalam  mengolah data numerik (kontinyu) dan diskrit, dapat menangani nilai atribut yang hilang, menghasilkan aturan-aturan yang mudah diintrepetasikan dan tercepat diantara algoritma-algoritma yang lain. Keakuratan prediksi yaitu kemampuan model untuk dapat memprediksi label kelas terhadap data baru atau yang belum diketahui sebelumnya dengan baik. Dalam hal kecepatan atau efisiensi waktu komputasi yang diperlukan untuk membuat dan menggunakan model. Aplikasi yang digunakan adalah Weka 3.8 dikarenakan dalam aplikasi sudah tersedia arsitektur C 4.5.
SMART CITY VS SMART VILLAGE Fajrillah Fajrillah; Zarina Mohamad; Wirda Novarika
Jurnal Mantik Penusa Vol. 22 No. 1 (2018): Special Issue
Publisher : Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan

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Abstract

Currently, research on the theme of smart city and smart village continues to be done.This study aims to determine the comparison of characteristics of smart cities, and smart villages.The benefit of this research is to know the characteristics, what is needed by smart city, and smart village to be able to answer the need for smart city, and smart village.The needs of the city are smart, and the village is smartly different, but there are standards.To create economic balance and economic growth, it is necessary to focus on creating intelligent systems, in order to promote overall economic growth. Keywords: Smart City, Smart Village, Characteristics, Comparison.
PENENTUAN BENIH PADI TERBAIK UNTUK MENINGKATKAN HASIL PANEN MENGGUNAKAN METODE FUZZY MULTI CRITERIA DECISION MAKING Raja Tama Andri Agus; Winda Sulastri
Jurnal Mantik Penusa Vol. 22 No. 1 (2018): Special Issue
Publisher : Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan

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Abstract

IMPLEMENTASI ALGORITMA NAÏVE BAYES CLASSIFIER UNTUK KLASIFIKASI PENERIMA BEASISWA PPA DI UNIVERSITAS AMIKOM YOGYAKARTA Sumarni Adi
Jurnal Mantik Penusa Vol. 22 No. 1 (2018): Special Issue
Publisher : Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan

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Abstract

Each year the University offers many types of scholarships to its students, not least Amikom University Yogyakarta also offers the kind of underprivileged scholarships (PPA) for students in need. Each year the number of scholarship recipients continues to increase, but the amount received annually remains. Thus, it is necessary to develop a system to perform data mining from the data stack that will be used for certain purposes, one of which is to analyze the eligibility of the scholarship recipients to be on target. The Naive Bayes Classifier is an approach that refers to the Bayes theorem that combines previous knowledge with new knowledge. So it is one of the classification algorithm which is simple but has high accuracy. Therefore, in this study will be proved the ability of Naive Bayes Classifier to classify the data of scholarship applicants who inform the feasibility of awarding PPA scholarship. The scholarship data of the scholarship is done preprocessing, so that the data becomes "clean", so it is feasible to do the next process. Then the preprocessing is classified with the Naive Bayes Classifier, resulting in a classification probability model for the class determination of the next scholarship applicants. From the results of model accuracy testing of the developed system, yielding the smallest accuracy value of 64% on testing with a sample of 100 data and resulted in the highest accuracy of 97.66% in the test with a sample of 386 data
ANALISIS PENCAPAIAN KEUNTUNGAN PERUSAHAAN MENGGUNAKAN METODE ROUGHT SET Muhammad Ardiansyah Sembiring; Nuriadi Manurung
Jurnal Mantik Penusa Vol. 22 No. 1 (2018): Special Issue
Publisher : Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan

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Abstract

APLIKASI DATA MINING DENGAN MENGGUNAKAN ALGORITMA APRIORI UNTUK PENJUALAN PRODUK TERBESAR PADA CV. SAKURA PHOTO Puspa Sari; Bosker Sinaga
Jurnal Mantik Penusa Vol. 22 No. 1 (2018): Special Issue
Publisher : Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan

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Abstract

Dalam persaingan dunia bisnis sekarang ini, menuntut para pelakunya untuk senantiasa mengembangkan bisnis mereka dan juga agar selalu bertahan dalam persaingan. Untuk mencapai hal itu, ada beberapa hal yang bisa dilakukan yaitu dengan meningkatkan kualitas produk, dan pemanfaatan data transaksi. Untuk memenuhi kebutuhan tersebut terdapat beberapa hal yang bisa dijalankan salah satunya dengan melakukan analisis data perusahaan. Dalam data mining terdapat beberapa algoritma atau metode yang dapat dilakukan, salah satunya adalah algoritma apriori yang termasuk kedalam aturan asosiasi dalam data mining. Algoritma apriori didefenisikan sebagai suatu proses untuk menemukan suatu aturan apriori yang memenuhi syarat minimum untuk support dan syarat minimum untuk confidence. Dengan cara itu, diharapkan informasi yang nantinya dapat diperoleh dapat membantu pihak perusahaan untuk mengelola perusahaan menjadi lebih baik lagi.
Indikator Pemilihan Jurusan Pada SMK Nusantara menggunakan Metode SAW Ulfatun Hasanah; Gunadi Widi Nurcahyo; Julius Santony
Jurnal Mantik Penusa Vol. 22 No. 1 (2018): Special Issue
Publisher : Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan

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Abstract

SMK Nusantara is one of the schools located in Bangko Sempurna District. This school annually conducts a selection of majors for its new students. The course is intended for students to complete the school according to their interests and abilities before continuing to the next level. The establishment of new student selection decision support system at SMK Nusantara using Simple Additive Weighting (SAW) method. Based on the information obtained from new admissions team, the number of departments that exist in SMK Nusantara consists of three departments, namely accounting, motorcycle engineering, and computer and networking techniques. The majors are based on the student's choice when enrolling by listing interest for majors 1 and department 2 otherwise the majors are determined by the value required in each department. By using simple additive weighting method is expected to help facilitate the acceptance of new students in determining the majors for each student. This decision support system is web-based so that it can be accessed anywhere by prospective students to register online, after that can be processed to determine the majors of each student. The results obtained in this settlement make it easier for new students to determine and access the majors to be chosen by their interests and talents. Research using this method get 100% result from 3 departments. 30% accounting for engineering, computer and network engineering 40%, and motorcycle technique 30%.
Penerapan Algoritma Dempster Shaferberbasis Android Pada Sistem Pakar Untuk Mendiagnosa Kerusakan Motor Matic Sumarni Adi; Ike Verawati
Jurnal Mantik Penusa Vol. 22 No. 1 (2018): Special Issue
Publisher : Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan

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Abstract

Expert System is a computer-based system that combines knowledge, facts, and reasoning techniques in solving problems in a particular field like an expert. Expert systems can function as consultants who advise users as well as assistants to experts. One way to overcome and help detect a person's motor motor damage is to create an expert system based on Android as a media for consultation and monitoring so that the user understands what is happening with his motorbike. The Dempster Shafer method is a non monotonous reasoning method used to find inconsistencies due to the addition or subtraction of new facts that will change the existing rules, so the Dempster Shafer method allows one to be safe in doing the work of an expert in this matter is a mechanic. The purpose of this study was to apply the Dempster Shafer uncertainty method to the expert system to diagnose damage to the motorbike and also measure the accuracy of the Dempster Shafer inference engine. The diagnostic results of damage to the matic motor generated by the expert system are the same as the results of manual calculations using the Dempster Shafer inference engine theory which is processed from the results of interviews with the mechanic motor mechanic. So it can be concluded that an android-based expert system that has been built can be used to diagnose damage to the Matic motor. Keywords:Dempster Shafer, Motor Matic, Expert System, Android 
PENERAPAN ALGORITMA RABIN KARP UNTUK MENDETEKSI KEMIRIPAN JUDUL SKRIPSI Sumarni Adi
Jurnal Mantik Penusa Vol. 22 No. 1 (2018): Special Issue
Publisher : Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan

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Abstract

Every final year student who has completed his lecture must definitely make a thesis in order to get his degree. Before making a thesis, students must propose a thesis title to the study program admission section first. The title will be checked for feasibility by the study program. One of the requirements of the thesis title is said to be feasible, the title has never been used by other students. But every semester there are so many students who submit thesis titles, so the study program is overwhelmed if they have to match one by one the incoming thesis titles with the previous thesis title because it requires a lot of energy and time. Therefore, a system needs to be developed to detect the similarity of the thesis title so that the process of assessing the feasibility of the title can be done faster and easier. Rabin Karp is an algorithm that can detect similarities in documents, using the hash method in searching for a word. This theory is rarely used to find a single word, but it is quite important and very effective when used for multiple searches. For this reason, in this study Rabin Karp's ability to detect the similarity of the thesis title will be proven by giving the title similarity value. Thesis title is preprocessing, so that the data becomes "clean", so it is feasible to do the hashing process. After hashing, then apply the Rabin Karp algorithm to each word and measure its similarity using dice's Coefficient, resulting in a similarity value from the title of the thesis. The better the stemming process in the preprocessing process, the higher the similarity value.  Keywords: Thesis Title, Similarity, Rabin Karp

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