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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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PENGARUH PENERAPAN SISTEM CPNS ONLINE TERHADAP KEPUASAN MASYARAKAT MENGGUNAKAN METODE TAM Siti Nurdiani; Rizky Ade Safitri; Dwiza Riana
Jurnal Techno Nusa Mandiri Vol 16 No 1 (2019): Techno Nusa Mandiri : Journal of Computing and Information Technology Periode Ma
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Information systems are a combination of information technology and activities of people who use that technology to support operations and management. Currently, the procurement of Prospective Civil Servants (CPNS) has implemented system technology in carrying out each activity. One form of implementation is in the form of an online CPNS system. The purpose of this study is to find out what are the effects of system quality, information quality, online CPNS service quality on community satisfaction following online CPNS. The method used is TAM (Technology Acceptance Model) with variable system quality, information quality, and service quality. Based on the results of the study of the effect of applying the online CPNS system to community satisfaction, the results showed that: There is a significant influence between the system quality variables on community satisfaction, there is no significant effect between the quality of information on community satisfaction. There is a significant influence between service quality variables on community satisfaction.

ALGORITMA C4.5 UNTUK MEMPREDIKSI PENGAMBILAN KEPUTUSAN MEMILIH DEPOSITO BERJANGKA Hendri Mahmud Nawawi; Sri Rahayu; Muhammad Ja’far Shidiq; Jajang Jaya Purnama
Jurnal Techno Nusa Mandiri Vol 16 No 1 (2019): Techno Nusa Mandiri : Journal of Computing and Information Technology Periode Ma
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Deposits are one form of investment offered by the Bank or other financial institutions with the nature of regulating and binding according to the rules set by the manager and the investor or commonly called investors. The advantage of being an investor is getting a fee or profit calculated based on the agreed time period at the beginning of the agreement. Whereas for investment fund managers can be used to advance and develop their business and business. Finding and determining potential customers is the first step to running a financial business in the form of this deposit, before the transaction decision is taken which is a favorable decision for both parties, investors or managers, one of the decision-making techniques can be done using Data Mining using the C4.5 Algorithm which is a structured decision-making technique based on input variables so that it can produce the most potential typical information for customers to participate in time deposits.

SISTEM PENDUKUNG KEPUTUSAN PEMBERIAN BANTUAN RS-RUTILAHU DENGAN METODE TOPSIS PADA DESA KOTABATU CIOMAS KABUPATEN BOGOR Enok Tuti Alawiah; Dwi Andini Putri
Jurnal Techno Nusa Mandiri Vol 16 No 1 (2019): Techno Nusa Mandiri : Journal of Computing and Information Technology Periode Ma
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Non-Eligible Houses for Social Rehabilitation (RS-RUTILAHU) is a program of assistance from the social ministry to fulfill the needs of decent homes as an element of social welfare. Assistance is channeled to the people who need it according to the eligibility criteria. This research was carried out so that the RUTILAHU Hospital assistance program in Kotabatu Village, Ciomas District, Bogor Regency could be received on target. The research method used is the method TOPSIS (Technique for Order Preference by Similarity to Ideal Solution). TOPSIS is a multicriteria decision-making method based on the concept that the best alternative not only has the shortest distance from a positive ideal solution but also has the longest distance from a negative ideal solution. The Decision Support System can be used to help village governments to determine the right to get RS-RUTILAHU program on target. The results of the study can be used as a reference so that the provision of RS-RUTILAHU assistance programs can be provided to eligible residents according to the eligibility criteria.

PENERAPAN ALGORITMA SVM BERBASIS PSO UNTUK TINGKAT PELAYANAN MARKETING TERHADAP LOYALITAS PELANGGAN KARTU KREDIT Elin Panca Saputra
Jurnal Techno Nusa Mandiri Vol 12 No 2 (2015): Techno Nusa Mandiri : Journal of Computing and Information Technology Periode Se
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

This research will be used method of support vector machine and will do the selection of attributes by using particle swarm optimization to determine the level of service. After the test results obtained are support vector machine produces an accuracy value of 92.25%, 95.98% and a precision value AUC value of 0.976% then be selected attributes using particle swarm optimization attributes, amounting to 8 predictor variables selected two attributes used. The results showed higher accuracy value that is equal to 93.75%, 93.91% and a precision value AUC value of 0.973%. Thus increasing the accuracy of 1.5%, and increased the AUC of 0.006. With accuracy and AUC values, the algorithm of support vector machines based on particle swarm optimization in the category of classification is very good.

DIAGNOSA PENYAKIT TUBERCULOSIS (TBC) MENGGUNAKAN SISTEM NEURO FUZZY Desmulyati Desmulyati
Jurnal Techno Nusa Mandiri Vol 12 No 2 (2015): Techno Nusa Mandiri : Journal of Computing and Information Technology Periode Se
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Tuberculosis (TBC or TB) is an infectious disease that usually attacks the lungs, caused by the bacterium Mycobacterium tuberculosis. WHO data report in 2006 put Indonesia as the third largest contributor of TB in the world. The high risk of dying of lung disease patients (18.7%) indicate that these diseases should be taken seriously. In addition to the lungs, where TB germs attack the brain and central nervous system, this will also lead to death (death). In this study, the author uses neuro-fuzzy system for diagnosing TB disease based mainly on clinical symptoms. Neuro-fuzzy systems are part of the major components forming soft computing, integrated between fuzzy systems and artificial neural networks. With the method of Adaptive Neuro-Fuzzy Inference System (ANFIS) in determining the classification rule with fuzzy logic that is able to provide a diagnosis like an expert whether someone is diagnosed: Negative TB, Other Disease and Positive TB. Based on ANFIS editor can be seen the results of measurements of the accuracy of the algorithm, the hybrid gets the same value of four types of membership function as Trapmf, gbellmf, gaussmf and psigmf of 99.99%. While the backpropagation algorithm produces different accuracies depending on each type of MF her. Where Trapmf membership type has an accuracy rate higher than the other three types of memberships by using the backpropagation algorithm. And to see what the diagnosis was designed using Matlab toolbox applications, such as appearance and surface at the FIS rule editor, diagnosis and therapeutic treatment.

IMPLEMENTASI PENGATURAN PROXY SERVER MENGGUNAKAN SERVICE SQUID PADA SISTEM OPERASI LINUX Esron Rikardo Nainggolan
Jurnal Techno Nusa Mandiri Vol 12 No 2 (2015): Techno Nusa Mandiri : Journal of Computing and Information Technology Periode Se
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Network operating system is an operation which is used to coordinate activities of multiple computers in a network, the network operating system development related with open source operating system development that would have much effect on treatment patterns in information technology. One of the server network operating system services quite effects in the handling of information technology is a proxy server that provides dial computer (Internet programs such as browsers, download managers and other) to the internet. In the manufacture of proxy servers, the author uses the Linux operating system with the service squid as a proxy application. Generally, a proxy server is very useful in the management of information technology, namely in terms of speeding up access to the Internet and can be used to filter unwanted content.

ANALISA KOMPARASI ALGORITMA NAIVE BAYES DAN C4.5 UNTUK PREDIKSI PENYAKIT LIVER Eva Rahmawati
Jurnal Techno Nusa Mandiri Vol 12 No 2 (2015): Techno Nusa Mandiri : Journal of Computing and Information Technology Periode Se
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Liver disease is one of the deadliest diseases in the world. Several studies have been conducted to diagnose patients properly but still unknown what method was accurate in predicting liver disease. Data mining is the science that uses past data as a reference to get new knowledge. One of the data mining algorithms is a classification algorithm. Data are obtained from the UCI which consists of 583 records with 11 fields. In this research, comparative Naïve Bayes and C4.5 algorithms using software algorithms KNAME to know which are the most accurate in predicting liver disease. The results of the second test is known that the algorithm C4.5 algorithm has the highest accuracy value is 72.845% while the Naïve Bayes algorithm has a value of 63 362% accuracy. Thus C4.5 algorithm can more accurately predict liver disease.

METODE DEMPSTER-SHAFER UNTUK SISTEM PAKAR DETEKSI KERUSAKAN MESIN CUCI BERBASIS WEB Laila Septiana
Jurnal Techno Nusa Mandiri Vol 12 No 2 (2015): Techno Nusa Mandiri : Journal of Computing and Information Technology Periode Se
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

A front loading washing machine is one household items needed in daily life. But its use is often experienced problems caused obstacles both human error and resilience of spare parts has limited capacity. To resolve this may be accomplished by novice technicians who have the basic skills of a front-loading washing machine. But sometimes to overcome these problems also requires a high level of ability of front-loading washing machines that require a qualified technician to fix it. Shafer Demster method used to combine separate pieces of information ( evidence ) to calculate the probability of an event. So that the application of such methods in an expert system to detect damage to the front loading washing machine with a problem-solving solution is expected to provide appropriate

PENERAPAN PARTICLE SWARM OPTIMAZATION UNTUK MENEN-TUKAN KREDIT KEPEMILIKAN RUMAH DENGAN MENGGUNAKAN ALGORITMA C4.5 Mulkan Syarif
Jurnal Techno Nusa Mandiri Vol 12 No 2 (2015): Techno Nusa Mandiri : Journal of Computing and Information Technology Periode Se
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

In studies that have been done previously to determine ownership loan home. One of the methods of the most widely used method with a high degree of accuracy is the C4.5 algorithm. In conducting this study also used a method algorithm C4.5 and to improve the accuracy will be performed using the addition of particle swarm optimization method for the determination of credit ratings. Homeownership after testing the results obtained is a support vector machine produces a value of 91.93% accuracy and AUC value of 0.860 was then performed using particle swarm optimization method in which the attributes which originally totaled 8 predictor variables selected from eight attributes used. The results showed higher accuracy value that is equal to 94.15% and AUC value of 0.941. So as to achieve an increased accuracy of 2.22% and an increase in AUC of 0.081. By looking at the accuracy and AUC values, the algorithm of support vector machines based on particle swarm optimization and therefore is in the category of classification is very good.

PREDIKSI PENYAKIT HATI DENGAN MENGGUNAKAN MODEL ALGORITMA NEURAL NETWORK Wati Erawati
Jurnal Techno Nusa Mandiri Vol 12 No 2 (2015): Techno Nusa Mandiri : Journal of Computing and Information Technology Periode Se
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

The liver is one of the vital organs of the human body. Hepatosit is the main important part of a liver which is a unique epitel cell configuration. The liver disease should be predicted based on clinically tested because sometimes a doctor usually making a decision by using his/her intuition rather than to collect hidden data in a database. This problem causing refraction missed diagnostic, and over medical payment that influences service quality of a patient. Therefore, medically automatic diagnose system will be useful to carry on those problems. In this research, the Neural Network algorithm method is used to get liver disease prediction, Neural Network algorithm will be improved by using Adaboost method which is implemented into a patient who suffers from liver disease. The result of this experiment method is divided into 80%, 70%, and 60%, the accuracy points are 70.99%, 69.60%, 68.57%.

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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