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IMPLEMENTASI DATA MINING UNTUK MEMPREDIKSI PEMESANAN DRIVER GO-JEK ONLINE DENGAN MENGGUNAKAN METODE NAIVE BAYES (STUDI KASUS: PT. GO-JEK INDONESIA) Laia, Delisman; Buulolo, Efori; Sirait, Matias Julyus Fika
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 2, No 1 (2018): Peranan Teknologi dan Informasi Terhadap Peningkatan Sumber Daya Manusia di Era
Publisher : STMIK Budi Darma

PT. Go-Jek Indonesia is a service company. Go-jek online is a technology-based motorcycle taxi service that leads the transportation industry revolution. Predictions on ordering go-jek drivers using data mining algorithms are used to solve problems faced by the company PT. Go-Jek Indonesia to predict the level of ordering of online go-to drivers. In determining the crowded and lonely time. The proposed method is Naive Bayes. Naive Bayes algorithm aims to classify data in certain classes. The purpose of this study is to look at the prediction patterns of each of the attributes contained in the data set by using the naive algorithm and testing the training data on testing data to see whether the data pattern is good or not. what will be predicted is to collect the data of the previous driver ordering, which is based on the day, time for one month. The Naive Bayes algorithm is used to predict the ordering of online go-to-go drivers that will be experienced every day by seeing each order such as morning, afternoon and evening. The results of this study are to make it easier for the company to analyze the data of each go-jek driver booking in taking policies to ensure that both drivers and consumers or customers.Keywords: Go-jek Driver, Data Mining, Naive Bayes

Application of Calcium Level Expansion Systems In Broccoli Using The Certainty Factor Method Matias Julyus Fika Sirait; Denni M Rajagukguk
Login : Jurnal Teknologi Komputer Vol. 13 No. 2 (2019): Login : Jurnal Teknologi Komputer, Edition Desember 2019
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Expert System is a part of Artificial Intelligence that contains the knowledge and experience put by many experts into a certain area of knowledge so that everyone can use it to solve specific problems. The implementation of expert systems is widely used in the health sector, for example by making diagnoses such as diagnosing nutritional levels. For example, diagnosing calcium levels in broccoli. Diagnosis is the process of examining something using certain methods and techniques. Diagnosis is done to explain whether the object experiences / suffer certain things. Diagnosing the levels is done to explain whether broccoli vegetables have calcium. It is hoped that with this system, ordinary people can solve certain problems both slightly complicated even without the help of experts in the field. As for experts, this system can be used as an experienced assistant. This developed application aims to make it easier to analyze the data. By using the Certainty Factor method, it will be easier to find out the diagnosis of calcium levels in broccoli. This method is the right method used in expert systems.

Penerapan Metode Analytical Hierarchy Procces (Ahp) Untuk Pengangkatan Karyawan Tetap Matias Julyus Fika Sirait
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 2 No. 2 (2020): Jatilima
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v2i2.42

Employees are a determinant of the success of a company, therefore employees have a very important role in determining the progress of the company, the determination of permanent employees at the company is sometimes done not objectively, the assessment is done subjectively with unclear parameters, so that the results of the assessment are detrimental to employees who have the ability well. The criteria for determining permanent employees are performance, discipline, loyalty, experience, psychological tests, peer assessment. The results of the assessment of employees who participated in the employee selection named Jenter were employees who were selected as permanent employees with a value of 0.50.

IMPLEMENTASI DATA MINING UNTUK MEMPREDIKSI PEMESANAN DRIVER GO-JEK ONLINE DENGAN MENGGUNAKAN METODE NAIVE BAYES (STUDI KASUS: PT. GO-JEK INDONESIA) Laia, Delisman; Buulolo, Efori; Sirait, Matias Julyus Fika
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 2, No 1 (2018): Peranan Teknologi dan Informasi Terhadap Peningkatan Sumber Daya Manusia di Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v2i1.972

PT. Go-Jek Indonesia is a service company. Go-jek online is a technology-based motorcycle taxi service that leads the transportation industry revolution. Predictions on ordering go-jek drivers using data mining algorithms are used to solve problems faced by the company PT. Go-Jek Indonesia to predict the level of ordering of online go-to drivers. In determining the crowded and lonely time. The proposed method is Naive Bayes. Naive Bayes algorithm aims to classify data in certain classes. The purpose of this study is to look at the prediction patterns of each of the attributes contained in the data set by using the naive algorithm and testing the training data on testing data to see whether the data pattern is good or not. what will be predicted is to collect the data of the previous driver ordering, which is based on the day, time for one month. The Naive Bayes algorithm is used to predict the ordering of online go-to-go drivers that will be experienced every day by seeing each order such as morning, afternoon and evening. The results of this study are to make it easier for the company to analyze the data of each go-jek driver booking in taking policies to ensure that both drivers and consumers or customers.Keywords: Go-jek Driver, Data Mining, Naive Bayes

SISTEM INFORMASI IZIN GEREJA PADA KEMENTERIAN AGAMA KOTA BINJAI DENGAN METODE PROTOTYPING Matias Julyus Fika Sirait; Rosinnyl Gultom
Jurnal Armada Informatika Vol 2 No 2 (2018): JURNAL ARMADA INFORMATIKA
Publisher : STMIK Methodist Binjai

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Gereja mempunyai peran penting dalam membangun relasi antara manusia dengan Tuhan. Peran tersebut dapat dilihat dari berbagai kegiatan gereja, dimana dalam pelaksanaanya membutuhkan pengelolaan informasi yang baik. Informasi tersebut antara lain pendataan gereja, pengurus gereja, izin mendirikan bangunan. Informasi yang telah disimpan oleh gereja akan dilaporkan kepada Kementerian Agama Kota Binjai agar dapat dicatat..Namun dalam proses pencatatan informasi gereja tersebut, Kementerian Agama mendapatkan beberapa masalah antara lain proses pencarian data yang memakan waktu lama serta pembuatan laporan yang cukup sulit dikarenakan data-data yang diperlukan harus dikumpulkan terlebih dahulu./Dalam penelitian ini, penulis melakukan analisis terhadap masalah-masalah yang ada pada Kementerian Agama Kota Binjai, Hasil analisis yang telah penulis lakukan akan menjadi acuan dalam pengembangan sebuah sistem informasi yang dapat membantu Kementerian Agama dalam menyelesaikan masalahnya. Hasil akhir dari penelitian ini adalah sebuah aplikasi sistem informasi berbasis web yang dapat digunakakan di Kementerian Agama Kota Binjai

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