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INDONESIA
Jurnal Pilar Nusa Mandiri
Published by PPPM Nusa Mandiri
ISSN : 19781946     EISSN : 25276514     DOI : -
Core Subject : Science,
Jurnal Pilar merupakan jurnal ilmiah yang diterbitkan oleh program studi sistem informasi STMIK Nusa Mandiri. Jurnal ini berisi tentang karya ilmiah yang bertemakan: Rekayasa Perangkat Lunak, Sistem Pakar, Sistem Penunjang, Keputusan, Perancangan Sistem Informasi, Data Mining, Pengolahan Citra.
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Articles 18 Documents
Search results for , issue " Vol 13 No 1 (2017): PILAR Periode Maret 2017" : 18 Documents clear
DETEKSI TEMU RUAS DAUN SIRIH MENGGUNAKAN ALGORITMA THINNING Tanjung, Tia; Novel., Kadinar
Jurnal Pilar Nusa Mandiri Vol 13 No 1 (2017): PILAR Periode Maret 2017
Publisher : PPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (845.219 KB) | DOI: 10.33480/pilar.v13i1.160

Abstract

Society is still a lot need the best solution to select an appropriate treatment to address a variety of perceived grievances, from medical treatment to the treatment of non-medical or often called traditional medicine, betel leaves as one of the plants that are useful to be a cure for certain diseases and betel leaves public trust to be used as a treatment appointment is betel leaf segments. Processing betel leaves on a large scale is needed to determine the ease of retrieval of betel leaf segments. The purpose of the research is to utilize image processing algorithms thinning. The method used consists of betel leaf image acquisition, image changes to a grayscale, edge detection comprising Prewitt, Robert, Sobel and thinning. Furthermore, the analysis of the results of research showing the most thinning algorithm is good to get that appointment betel segment.
APLIKASI PENGENALAN PAHLAWAN NASIONAL DI PULAU JAWA UNTUK SISWA SD BERBASIS ANDROID STUDI KASUS PADA SDN PONDOK PINANG 10 PAGI JAKARTA SELATAN Indarti, Indarti
Jurnal Pilar Nusa Mandiri Vol 13 No 1 (2017): PILAR Periode Maret 2017
Publisher : PPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1156.31 KB) | DOI: 10.33480/pilar.v13i1.159

Abstract

This research is motivated by the development of multimedia technology in various fields. The problems there is still a lot of education in Indonesia using the conventional method that is by listening to the teacher's explanations and using books, the method makes students easily bored. Therefore, was made a learning media by using interactive multimedia technology, so that students are more eager to learn. The purpose of making this learning media is to help students recognize heroes on the island of Java, which was developed with Adobe Flash Professional CS6 and Android Smartphones android. The author uses the method of data collection consists of literature studies, interviews, and distributing questionnaires. This research resulted in an interactive multimedia device that is able to combine text, pictures, audio and animation in one unit smartphones android, so it can support the learning process into a dynamic and interactive learning individual nature. Results of the test system, that a national hero introduction applications in Java have attracted the interest of students' to learn using interactive multimedia.
ANALISA FAKTOR-FAKTOR YANG MEMPENGARUHI PENERIMAAN DAN PENGGUNAAN APLIKASI GO-JEK MENGGUNAKAN UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY (UTAUT) Putri, Lovianevy Firtian Soebali; Mahendra, Irfan
Jurnal Pilar Nusa Mandiri Vol 13 No 1 (2017): PILAR Periode Maret 2017
Publisher : PPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (864.756 KB) | DOI: 10.33480/pilar.v13i1.157

Abstract

Gojek Application is an android based application that is the entrance for customers to obtain services provided by PT Gojek Indonesia. This research was conducted to analyze the factors that affect the acceptance and use of the Gojek Application using United Theory of Acceptance and Use of Technology (UTAUT). This research was conducted on 50 people Gojek Application users are found in several locations of offices, malls, schools, colleges and the environment surrounding the housing in Jakarta. Based on research, it is known that the simultaneous factor performance expectancy, effort expectancy, social influence, and facilitating conditions and significant positive effect on use behavior Gojek Application. While partially, it is known that performance expectancy and social influence which has a positive and significant effect on use behavior Gojek Application. While effort expectancy and facilitating conditions not have a positive and significant effect on use behavior Gojek Application.  
IMPLEMENTASI METODE RAPID APPLICATION DEVELOPMENT DALAM MEMBANGUN E-COMMERCE DI BIDANG UKM Riyanto, Verry
Jurnal Pilar Nusa Mandiri Vol 13 No 1 (2017): PILAR Periode Maret 2017
Publisher : PPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (773.476 KB) | DOI: 10.33480/pilar.v13i1.155

Abstract

The method used by the author with several steps starting from data collection, observes, interviews, library research approach to RAD in building market place based website, then make ERD and make UML, tools-tools that use the Entity Relational Diagram and Unified Modeling Language. Of the existing problems are still many businesses are SMEs that have not implemented information systems, the authors tried to examine the system of information on the SME market place. With the development of computerized services into web-based systems, the writer hopes the problems that exist in the various SMEs, especially in terms of the purity of the data can be overcome with good. The information generated can be more accurate, faster and more efficient. In addition to the information systems are built for SMBs based websites become a benchmark of the development of SMEs in the digital world in the wider community. So that everything could be run more efficiently and effectively.
RANCANG BANGUN SISTEM INFORMASI PENGAJUAN PENGADAAN SUKU CADANG MOBIL PADA PT. ANDALAN CHRISDECO BERBASIS WEB Anwar, Syaiful; Irawan, Fahrizal
Jurnal Pilar Nusa Mandiri Vol 13 No 1 (2017): PILAR Periode Maret 2017
Publisher : PPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1194.782 KB) | DOI: 10.33480/pilar.v13i1.154

Abstract

In this era of globalization, information technology drove quickly. The computer and the Internet are tools created to facilitate the work of man. PT. Chrisdeco mainstay needs the existence of an information system that supports the work on the submission process of procurement of spare parts in order to work more efficiently and effectively. To which the author tries to make the final assignment submission of information systems procurement of spare parts in PT. Andalan Chrisdeco which until now has not been computerized. At this time PT. Chrisdeco mainstay is a company engaged in the sale and repair of automobiles. The existing system at PT. Chrisdeco mainstay has been computerized on almost any part of the submission process, but for the procurement of spare parts is still done manually, cannot be accessed through the Internet. This resulted in spare parts procurement process takes quite a long time due to the condition of an audit that is in charge of examining and approving the submission of procurement of spare parts that have high mobility, or in other words the person is seldom in the workspace since worked in several companies.
ANALISIS SENTIMEN OPINI PUBLIK BERITA KEBAKARAN HUTAN MELALUI KOMPARASI ALGORITMA SUPPORT VECTOR MACHINE DAN K-NEAREST NEIGHBOR BERBASIS PARTICLE SWARM OPTIMIZATION Utami, Lilyani Asri
Jurnal Pilar Nusa Mandiri Vol 13 No 1 (2017): PILAR Periode Maret 2017
Publisher : PPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1420.177 KB) | DOI: 10.33480/pilar.v13i1.153

Abstract

Sentiment analysis is a process to determine the content of text-based datasets which are positive or negative. At present, public opinion be an important resource in the decision of a person in finding a solution. Classification algorithms such as Support Vector Machine (SVM) and K-Nearest Neighbor (K-NN) is proposed by many researchers to be used in sentiment analysis for review opinion. The problem in this research is the selection of feature selection to improve accuracy values Support Vector Machine (SVM) and K-Nearest Neighbor (K-NN) and compare the highest accuracy for sentiment analysis review public opinion about the news of forest fires. The comparison algorithms, SVM produces an accuracy of 80.83% and AUC 0.947, then compared with SVM based on PSO with an accuracy of 87.11% and AUC 0.922. The test result data for K-NN algorithm accuracy was 85.00% and the AUC 0.918, then compared for accuracy by k-NN-based PSO amounted to 73.06% and the AUC 0.500. The results of the testing of the PSO algorithm can improve the accuracy of SVM, but are not able to improve the accuracy of the algorithm K-NN. SVM algorithm based on PSO proven to provide solutions to the problems of classification review news opinion forest fires in order to more accurately and optimally.
PERANCANGAN SISTEM INFORMASI PEMESANAN MAKAM BARU MENGGUNAKAN METODE RATIONAL UNIFIED PROCESS (Studi kasus pada Taman Pemakaman Umum Joglo Jakarta Barat) Susilowati, Susi
Jurnal Pilar Nusa Mandiri Vol 13 No 1 (2017): PILAR Periode Maret 2017
Publisher : PPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3908.261 KB) | DOI: 10.33480/pilar.v13i1.151

Abstract

This study aims to analyze and design a web-based information system that can help the process of ordering a new tomb in the cemetery Joglo so the process can save time and can help the officers perform data management tomb quickly and precisely. Methodology To develop the system using the RUP (Rational Unified Process) to observe the running system and conducted interviews to employees directly involved in ordering activity tomb. System design method used is the method Object Oriented Analysis and Design (OOAD) which will use the use case diagram, activity diagram, sequence diagram, and class diagram. This application is designed to use PHP software as an application program and MySQL as the database.
SISTEM INFORMASI TIKET BIOSKOP PADA BUARAN TEATER DI JAKARTA TIMUR BERBASIS WEB Saryoko, Andi
Jurnal Pilar Nusa Mandiri Vol 13 No 1 (2017): PILAR Periode Maret 2017
Publisher : PPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (831.249 KB) | DOI: 10.33480/pilar.v13i1.152

Abstract

Cinema Buaran Theatre is a company engaged in the field of tourism and entertainment. The problems faced by Cinema Buaran Theatre in business processes, namely in terms of booking a ticket using a manual system by using the ticket the ticket and thus require long lines and how marketing is also still manual so as to find out the schedule publishers film is still very poor in providing information and submission to the buyers. Based on these problems the author gives a solution to turn to web-based information systems. With the hope of reducing the errors that are common in the manual process to provide input in the use of computer systems to be more efficiency in the business process and can improve business processes.
DECISION SUPPORT SYSTEM UNTUK KELAYAKAN PEMBERIAN KREDIT MOTOR DENGAN MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING PADA PERUSAHAAN LEASING Elyana, Instianti
Jurnal Pilar Nusa Mandiri Vol 13 No 1 (2017): PILAR Periode Maret 2017
Publisher : PPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1388.701 KB) | DOI: 10.33480/pilar.v13i1.150

Abstract

On leasing company engaged in motor credit services and customer use, these services to the loan application will take advantage of the mortgage interest payments. Basically leasing company recruitment section Credit Analyst will analyze the applicant's ability to repay loans and conduct field surveys in order to reduce bad loans. A credit Analysis expected to work quickly and accurately analyze the wealth of data due to the applicant's credit going so it does not close the possibility of error eg calculation errors, misread data. Credit analyst in consumer decision-making activities required creditworthy models of computer-based systems that can provide ease in analyzing the data, the calculation of a credit applicant assessment criteria. The system was designed using Simple Additive weighting method (SAW), which is one method of Fuzzy Multiple Attribute Making Decisions (FMADM). SAW chosen method for calculation of weighted criteria that are not too complicated, making it easy to learn for writers and readers. The system built is expected to help the company's work, especially in the leasing Credit Analyst in conducting the screening credit applicants, can speed up the process of selecting credit applicants and can reduce errors in determining the creditworthiness of consumers.
KOMPARASI METODE KLASIFIKASI DATA MINING ALGORITMA C4.5 DAN NAIVE BAYES UNTUK PREDIKSI PENYAKIT HEPATITIS Septiani, Wisti Dwi
Jurnal Pilar Nusa Mandiri Vol 13 No 1 (2017): PILAR Periode Maret 2017
Publisher : PPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1501.771 KB) | DOI: 10.33480/pilar.v13i1.149

Abstract

Hepatitis is an inflammation disease of the liver because an infection that attacks and causes damage to cells and liver function. Hepatitis is a disease precursor of liver cancer. Hepatitis can damage liver function as neutralizing poisons and digestive system in the body that break down nutrients and then spread to all organs of the body that very important for humans. Research of predicting disease hepatitis have been carried out by previous researchers. This research using the method of classification data mining algorithm C4.5 and Na├»ve Bayes is then performed comparative to both methods., The measurement of two methods using cross-validation, confusion matrix, and ROC curve. The result of this research is the best algorithm that can be used to predict disease hepatitis.

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