Jurnal Teknik Komputer
ISSN : 24422436     EISSN : 25500120
Jurnal Teknik Komputer merupakan jurnal ilmiah yang diterbitkan oleh LPPM Universitas Bina Sarana Informatika. Jurnal ini berisi tentang karya ilmiah hasil penelitian yang bertemakan: Networking, Embedded System, Aplikasi Sains, Animasi Interaktif, Pengolahan Citra, Sistem Pakar, Sistem Komputer, Soft Computing, Web Programming, Mobile Programming, Games Programming, Data Mining, dan Sistem Penunjang Keputusan.
Articles 4 Documents
Search results for , issue " Vol 5, No 2 (2019): JTK - Periode Agustus 2019" : 4 Documents clear
Rancang Bangun Aplikasi Pemesanan Pada Cantika Catering Berbasis Web Muryani, Sri; Safika, Devie
JURNAL TEKNIK KOMPUTER Vol 5, No 2 (2019): JTK - Periode Agustus 2019
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Original Source | Check in Google Scholar | DOI: 10.31294/jtk.v5i2.4559

Abstract

The system available right now at Cantika Catering is conducted manually, started from recording customer's orders to keep other data related to processes from sales to transactions, keeping the records accurately, and spending less time to search some data. Cantika catering requires information system which can support and deliver satisfactory services for its customers. Therefore, the author tried to compose a research about the sales system in Cantika Catering which was completed by using data collection methods as follows: direct observation, interview, and literature review. Nowadays, Cantika Catering is a business dealing only with food provision service. The design of information system is the best solution to handle problems in this company, and a computerized system will make the company's actvities more effectively and efficiently. Therefore, the researcher has conducted a change of system for Cantika Catering  from manual to computerized and web based order transaction
ANALISIS ALGORITMA KLASIFIKASI C 4.5 UNTUK MEMPREDIKSI KEBERHASILAN IMMUNOTHERAPY PADA PENYAKIT KUTIL Hermawan, Ady; Sukma, Ardi Ramadhan; Halfis, Riqardi
JURNAL TEKNIK KOMPUTER Vol 5, No 2 (2019): JTK - Periode Agustus 2019
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Original Source | Check in Google Scholar | DOI: 10.31294/jtk.v5i2.4851

Abstract

Maintaining skin health is one thing that is also needed. Not only health from inside, health from the outside must also be considered. There are so many skin problems that arise in the human body. Wart disease is characterized by small bumps on the surface of the skin which are generally caused by the Human Papiloma Virus (HPV) virus. One technique for treating wart disease is immunotherapy, this method is a treatment by increasing the immune system to deal with wart disease. Clinical predictions are growing very rapidly by adopting computer science and information technology in managing health and drug data, this clinical prediction can be produced from processing using data mining methods. Data mining is a popular method used to explore patterns or knowledge from large data stacks. C 4.5 algorithm which is one of the decision tree induction algorithms is also a method of data mining algorithms used to classify. This study aims to predict the success rate of immunotherapy treatment methods on wart disease with algorithm C 4.5 using RapidMiner. From the study it was known that the accuracy rate for processing immunotherapy data on wart disease to predict its success using the C 4.5 algorithm of 74.07%.
Implementasi Metode Decision Tree Klasifikasi Data Mining Untuk Prediksi Peminatan Jurusan Robotika oleh Mahasiswa RAHARJO, MUGI; ridwan, Ridwan; Putra, Jordy Lasmana; Sandi, Tommi Alfian Armawan
JURNAL TEKNIK KOMPUTER Vol 5, No 2 (2019): JTK - Periode Agustus 2019
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Original Source | Check in Google Scholar | DOI: 10.31294/jtk.v5i2.4852

Abstract

Specialization of majors in a study program becomes something important must be an option for a student, for that they must think carefully before choosing the majors. Because later this thing can determine the success or failure of a student to understand what they learned to apply to during the final project. In the past few years there has been a question about the problem of electing majors in the Computer Technology Study Program. Because almost every year the majority of interest voters in majors are interested in computer network majors rather than robotics majors. majoring in majors, so the authors analyzed and retrieved data from 145 student samples in the electronic practicum course and chose 7 attributes in this study because this course was very influential on the interest in the robotics department in the Computer Technology study program. The author uses the classification tree Decision method to predict interest in students. Therefore, with this research, the authors hope that in the future with the results of this analysis can be found a solution to the problem of why students are more inclined to choose the interests of departments other than robotics, whether due to factors or other factors. Keywords: Computer Technology, Analysis, Classification
Sistem Penunjang Keputusan Penerima Kartu Indonesia Pintar Menggunakan Metode Simple Additive Weighting (SAW) Saryoko, Andi; Muttaqin, Sholihin; Hidayat, Rahmat
JURNAL TEKNIK KOMPUTER Vol 5, No 2 (2019): JTK - Periode Agustus 2019
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Original Source | Check in Google Scholar | DOI: 10.31294/jtk.v5i2.4384

Abstract

Education is very important given the Government programs which require a minimum of 9 years of education, but many societies among medium size down unable to finance the education of their sons and daughters to 9 years. Indonesia Smart program is one of a national program that aims to increase the number of elementary and secondary education participation, increase sustainability education marked with menurunya numbers dropouts, as well as improving secondary education students readiness to enter the job market or proceed to higher education.In this research will be made a decision support system (SPK) to facilitate in the selection criteria for the Smart Card recipient Indonesia students who deserve help, the method used in this research is the Simple Additive Weighting (SAW), this method was chosen because it can determine the value weights for each attribute, and then do the perangkingan process will determine the alternatives to get more accurate results are eligible to receive smart cards help indonesia .By applying the method of Simple Additive Weighting (SAW) hope to provide ease in taking decisions which are appropriate and accurate.

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