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Techno Nusa Mandiri : Journal of Computing and Information Technology

techno
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Published by Universitas Nusa Mandiri

ISSN : 19782136 EISSN : 2527676X DOI : -

Core Subject : Science,

Computer Science & IT

Jurnal TECHNO Nusa Mandiri, merupakan Jurnal yang diterbitkan oleh Pusat Penelitian Pengabdian Masyarakat (PPPM) STMIK Nusa Mandiri Jakarta. Jurnal TECHNO Nusa Mandiri, berawal diperuntukan menampung paper-paper ilmiah yang dibuat oleh dosen-dosen program studi Teknik Informatika.

Arjuna Subject : -

Articles 270 Documents

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ANALISIS NEURAL NETWORK STRUKTUR BACKPROPAGATION SEBAGAI METODE PERAMALAN PADA PERHITUNGAN TINGKAT KEMISKINAN DI INDONESIA Astriana Mulyani
Jurnal Techno Nusa Mandiri Vol 13 No 1 (2016): Techno Nusa Mandiri : Journal of Computing and Information Technology Periode Ma
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (940.224 KB)

Poverty is a condition in which people lack ability in traditionally devoted their primary. (Boa,2008) defines "Structural poverty is poverty, suspected uncaused structure from the condition of structures, or unfavorable life order". The expected amount of poverty can be reduced. In order to reduce the number of poverty to be known beforehand what factors are the cause of the poverty level is high or low. With the Backpropagation Neural Network structures for forecasting the calculation of the poverty level in Indonesia. Based on the analysis carried out apparently backpropagation neural network method yields more accurate in forecasting the calculation of the poverty level in Indonesia because these methods do training repeatedly to get the best models and can also be analyzed mathematically.

PENERAPAN FUZZY INFERENCE SYSTEM UNTUK KEBERHASILAN PENGGUNAAN ANIMASI INTERAKTIF TINGKAT SEKOLAH DASAR Samudi Samudi
Jurnal Techno Nusa Mandiri Vol 13 No 1 (2016): Techno Nusa Mandiri : Journal of Computing and Information Technology Periode Ma
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (992.757 KB)

Obstacles encountered in the teaching-learning process leads to launch the lack of communication between teachers and students. In this case, teachers should be more creative in applying learning methods. A similar thing happened in North Tugu SDN 01 Morning North Jakarta, where it takes an educational media to enhance the interest and attention of the students to support the learning process in schools, especially information technology media such as educational games. With the game, an application is expected to provide benefits and knowledge for students of SDN 01 Morning North Tugu North Jakarta on the introduction of the 32 provinces in Indonesia. The use of information technology in teaching and learning as well as introducing the world of animated multimedia interactive learning.

IMPLEMENTASI KONSEP ARSITEKTUR EKOLOGI PADA RANCANG BANGUN RUMAH MINIMALIS Sidik Sidik; Daniel Fauzi
Jurnal Techno Nusa Mandiri Vol 13 No 1 (2016): Techno Nusa Mandiri : Journal of Computing and Information Technology Periode Ma
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

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The need for housing for everyone is increasing, making the property developers need various innovations in the provision of housing facilities. Additionally, utilization of natural resources is no longer counted how much impact it will have, add to the damage of this nature. In this study, the authors analyzed the problem of materials, technology, structure, lighting, building orientation, for building both traditional and modern minimalist as well as design application that can be applied in developing ecological architecture and environmentally friendly in terms of the health of its inhabitants. In order to look more real and interesting, the authors make a minimalist home architecture design ecologically oriented interactive animations. The method used in this paper is a qualitative method with a descriptive approach. The results of this study indicate that the ecological building, especially in terms of the science of architecture. In terms of lighting and choosing the material does not cause the nature, the location of the building facing south is the most excellent in the ability to withstand heat.

PERANCANGAN APLIKASI ANDROID REKAPITULASI HASIL PEMILU SEMENTARA MENGGUNAKAN ALGORITHMA SEQUENTIAL SERCING BERBASIS MOBILE Fitri Latifah; Ari Setiawan Abimanyu
Jurnal Techno Nusa Mandiri Vol 13 No 1 (2016): Techno Nusa Mandiri : Journal of Computing and Information Technology Periode Ma
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1128.386 KB)

n the conventional process of recapitulation of the ballot by collecting data from TPS to the village, then the sub-district, district to the Central Election Commission. The process is so lengthy and very time-consuming. With this application input data, the vote counting at polling stations in question for each candidate or candidate performed directly in a mobile polling station concerned when the counting of votes at the polling process is completed. The process of data storage from the user application to the database server using JSON data exchange methods are relatively mild. In addition, the presentation of data recapitulation ballot conducted while officially takes a long time because of the lengthy process of collecting ballots also from TPS to the Central Election Commission. The design of applications that the authors have developed will make it easier to see the results in real recapitulation in text and graphics. Presentation of the recapitulation comes to the data that resides on the database server that always accumulates each input data from each polling station entrance.

PENERAPAN LOGIKA FUZZY DALAM SISTEM PENDUKUNG KEPUTUSAN PEMBERIAN BEASISWA BSM Yunita Yunita
Jurnal Techno Nusa Mandiri Vol 13 No 1 (2016): Techno Nusa Mandiri : Journal of Computing and Information Technology Periode Ma
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1119.778 KB)

The selection process elections BSM students receiving Academic includes three variables, namely, income and number of siblings Parents bladder. After processing of the above variables will result in decisions that students deserve a BSM, Worthy or Not Worthy. In order to produce a fast and accurate decision and to avoid any mistakes in the selection of students, it needs an appropriate method that can be used to assist decision makers in carrying out their duties. By using the right method then the School Committee will be easier to make decisions. The method is considered to overcome this problem is through a fuzzy logic approach to the method of Sugeno Order 0. The end result of this study is the result that states a student eligible to get a scholarship for BSM, for which data are available.

PERBANDINGAN ALGORITMA KLASIFIKASI DATA MINING MODEL C4.5 DAN NAIVE BAYES UNTUK PREDIKSI PENYAKIT DIABETES Fatmawati Fatmawati
Jurnal Techno Nusa Mandiri Vol 13 No 1 (2016): Techno Nusa Mandiri : Journal of Computing and Information Technology Periode Ma
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (936.672 KB)

Diabetes is one of the deadly disease, high-risk factors in families that cause diabetes because fat people who do not do physical exercise, and those who do not have a healthy lifestyle and diet excess of what is needed by the body. Based on the history data diabetics can be made on the prediction of diabetes that can help health professionals. Classification is one of data mining techniques that can be used to help predict. Classification can be done with that Decision Tree algorithm C4.5 and Naive Bayes. This study aims to classify and apply data mining classification. Results of data classification in the evaluation using the Confusion Matrix and ROC curve to determine the level of accuracy results using algorithms Decision Tree that is equal to 73.30% and the AUC of the ROC curve was 0733 while the algorithm Naive Bayes amounted to 75.13% AUC values of the ROC curve of 0.810, so it can be said that the algorithm Naive Bayes has the result of a good predictor in predicting diabetes patient.

KOMPARASI 5 METODE ALGORITMA KLASIFIKASI DATA MINING PADA PREDIKSI KEBERHASILAN PEMASARAN PRODUK LAYANAN PERBANKAN Sari Dewi
Jurnal Techno Nusa Mandiri Vol 13 No 1 (2016): Techno Nusa Mandiri : Journal of Computing and Information Technology Periode Ma
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (870.752 KB)

Utilization data mining in banking marketing strategy is very effective. Prospective customer segmentation is one of the processes carried out in the banking marketing strategy. To support the results of the success rate of telemarketing personnel to market the product in its role of banking services that the process requires prospective customer data, then data mining support is very important in the classification of the prospective customers of the bank so that it can predict the degree of success in product marketing such services. Based on mapping studies of support data mining on prospective customers to come is no classification algorithms are often used for the classification of a borrower among others Neural Network, Naive Bayes, Decision Tree, K-NN and Logistic Regression, of this algorithm can result from the evaluation process by using Cross Validation, confusion matrix, ROC Curve and T-Test to determine the classification of data mining algorithms are the most accurate in predicting success in product marketing telemarketing services from the bank to do trials in the Neural Network algorithm was more accurate with an accuracy of 89.71% the AUC value of 0872, this may be a comparison of data mining classification Seeing AUC values of the five methods, then five groups of classification algorithms including both because of its AUC value between 0.80-1.00.

PENERAPAN ANALISA SWOT DALAM PERENCANAAN STRATEGIS SI/TI PADA AJB BUMI PUTERA KANTOR WILAYAH CIBINONG Mia Rosmiati
Jurnal Techno Nusa Mandiri Vol 13 No 1 (2016): Techno Nusa Mandiri : Journal of Computing and Information Technology Periode Ma
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (5019.817 KB)

The increasing number of enthusiasts of insurance services in Indonesia resulted in competition level in the insurance world is getting stronger. The high competition among insurance companies requires that every company should have a high standard of service. The business strategy is one way the company to face the competition is getting stronger. The right strategy is one component is how the organization's ability to exploit information and communications technology to the maximum, followed by human resource management professionals. As one insurance company, AJB BUMIPUTERA is already supposed to create a strategic plan (strategic plan) is appropriate that contain Program and Project Implementation Roadmap IT as IT planning documents to support the achievement of strategic objectives.

DATA MINING DENGAN REGRESI LINIER BERGANDA UNTUK PERAMALAN TINGKAT INFLASI Amrin Amrin
Jurnal Techno Nusa Mandiri Vol 13 No 1 (2016): Techno Nusa Mandiri : Journal of Computing and Information Technology Periode Ma
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (821.266 KB)

In this study will be used multiple linear regression method to predict the monthly inflation rate in Indonesia. In the results of the data analysis is concluded that the model of multiple linear regression obtained in this study is Y= 0,241X1 + 0,164X2 + 0,271X3 + 0,07X4 + 0,040X5 + 0,060X6 + 0,169X7 - 0,010. The coefficient of regression value is 0,999 and coefficient of determination value is 0,997. the performance of multiple linear regression that formed by the training data and validated by testing data generates prediction accuracy rate is very good with a Mean Absolute Deviation (MAD) is 0.0380, a Mean Square Error (MSE) is 0.0023, and a Root Mean Square Error (RMSE) is 0.0481.

RANCANGAN WIRELESS INTRUSION DETECTION SYSTEM MENGGUNAKAN SNORT Irwan Agus Sobari
Jurnal Techno Nusa Mandiri Vol 12 No 1 (2015): Techno Nusa Mandiri : Journal of Computing and Information Technology Periode Ma
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (473.726 KB)

Implementation of wireless networks do not have a mature information security plan will open up a lot of vulnerabilities that will be exploited by intruders or people who are not responsible. The development of wireless networks is rapidly increasing making it vulnerable to a number of security threats. Some attack that occur are spoofing, denial of service, backdoor, man in the middle attack and the others. This is due to the wireless network can not be limited to a building and wireless network transmission of data packets is very easy to catch people who are not responsible. It is Therefore necessary to build a good system and not expensive but very useful for the company. Systems built the intrusion detection system using SNORT that has the function to monitor wireless network traffic, looking for a data packet or suspicious behavior patterns to be recorded into a log and warning to notify the network administrator. This research is expected to help network administrators to monitor and learn some new types of attacks that occur and protect computer network that exist today.

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Frieyadie

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Journal Mail Official
frieyadie@nusamandiri.ac.id

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Kota adm. jakarta pusat,

Dki jakarta

INDONESIA