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Faktor Exacta

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Published by Universitas Indraprasta PGRI

ISSN : 1979276X EISSN : 2502339X DOI : -

Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering

Faktor Exacta is a peer review journal in the field of informatics. This journal was published in March (March, June, September, December) by Institute for Research and Community Service, University of Indraprasta PGRI, Indonesia. All newspapers will be read blind. Accepted papers will be available online (free access) and print version.

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Articles 523 Documents

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PENGARUH SIKAP MAHASISWA PADA FISIKA DAN MOTIVASI BELAJAR TERHADAP HASIL BELAJAR FISIKA DASAR MAHASISWA Dasmo Dasmo
Faktor Exacta Vol 3, No 2 (2010): Faktor Exacta
Publisher : LPPM

The purpose of this study to determine the influences of student’s attitudes through physics subject and motivation as the results of physical study. This study used survey methods, namely to find a clear result of the problem. Instruments that used in this study was a questionnaire about student’s attitudes to physics, study motivation and results of physical study, each of them which amounted to 20 questions, 20 questions and results of physical study took from score at middle in a semester. The data obtained will be analyzed using path analysis. This study gives the following results: 1) Student’s attitudes to physics are not given directly to the results of physical study. This way looked from score coefficient correlation between X1 and Y is 0,116 and coefficient get effect (P31) is (-0,0378). Negative score was showed that means three is no positive effects and significant value between attitudes of students through physical subject Student’s attitude through physical subject with its score. In the other hand, students who have positive attitude with Physical subject at Technical Informatics program, as the result it is not give effect to the test score. 2) Learning motivation gives effects directly with result of study at students’ basic physic subject. It is showed by coefficient value of correlation between X2 and Y is 0,678 and coefficient get effect (P32) as 0,686. Positive value, it’s showed that means there is a positive effect and significant value between students learning motivation through result of study at basic physic subject. This positive result gives meaning that students who get high motivation so get high score also. This result have enough proved that learning motivation is so important and it’s really effected in learning process. 3) students’ attitude in physic gives effect negative indirectly through result of study at basic physic subject through learning motivation. This things is showed by coefficient value on correlation. It is showed by between X1 and Y is 0,116 and coefficient value get effect (P31) is -0,0378, also coefficient correlation between X1 and X2 is 0,224 and coefficient get effect (P21) is 0,224 so coefficient is not give effect directly between X1 to Y X2 through with multiple P31.P21 = (-0,0378)(0,224) = -0,008467. Seeing the negative signs from the result above, the value means that there is no significant positive effect directly between student’s attitude at basic physical subject through students’ learning motivation. This results gives information that student’s positive attitude from students at Technical Informatics students to basic physical subject will not give effect to their result of study through learning motivation. Keywords: student’s attitudes, motivation, physics, path analysis

MEMBANGUN JARINGAN KOMPUTER NIRKABEL DENGAN PENGOPERASIAN SISTEM OPERASI UNIX DENGAN IMPLEMENTASI IPV6 PADA FREEBSD BERTHA MEYKE WATY HUTAJULU
Faktor Exacta Vol 8, No 1 (2015)
Publisher : LPPM

Wireless network is a quite new technology in computer network world. It can connect computers without any wireless, but it use radio frequency at 2.4 GHz. For computer network still use wire to connected computers. Wireless is use the air medium, so there is different medium between wire and air. To connect these two medium networks we need other hardware. The hardware is called access point, but there is other problem comes. Access point price is quite expensive, so to handle this problem people were tried to look for another alternative. The alternative is use a personal computer with FreeBSD operating system. Operating system UNIX FreeBSD is a computer software that manage and control the operation of computer system based on UNIX. Free is defined as free software, or can be used as desired by users. While the BSD (Barkeley Software Distribution) is a development of the UNIX source code that to create as operating system portable, multi-tasking, multi-user, hierarkis system and utility. As utility Unix C-Shell, VI, TCP/IP and memory virtual, to created for build a stable FreeBSD. In its development, UNIX FreeBSD also effectthe development of UNIX systems that exist. As basic utilities Unix C-Shell, VI, TCP/IP and virtual memory, example httpd-2.0, thttpd, exim, courier-imap, was created to be able to adjust to the BSD features. FreeBSD operating system support dual stack (IPv4 and IPv6). IPv6 stack is installed by default on FreeBSD operating system. Besides the basic application FreeBSD also supports IPv6 which can be installed trough port mechanisme. FreeBSD is believed to be operating system for serves that handle high loads. At the time, recorded some of the worlds busiest internet sites such as yahoo.com, hotmail.com, ftp.cdrom.com for use. But it can't simulate access point perfectly because access point is hardware. It doesn't matter that can't simulate perfectly because not all feature that access point have are use. Keyword: Operating System Unix FreeBSD, wireless LAN, computer network

PROTOTIPE PREDIKSI PERSEDIAAN SUKU CADANG BERDASARKAN POLA KONSUMSI DAN DEAD STOCK DENGAN MENGGUNAKAN ADAPTIVE NEURO FUZZY INFERENCE SYSTEM (ANFIS) helmi veris suparyo
Faktor Exacta Vol 10, No 4 (2017)
Publisher : LPPM

Persediaan diartikan sebagai sumber daya menganggur (iddle resource) yang belum digunakan karena menunggu proses lebih lanjut. Untuk menjamin ketersediaannya, dalam hal ini adalah suku cadang, diperlukan persediaan yang siap digunakan ketika dibutuhkan untuk menghindari kerusakan karena terlalu lama tersimpan digudang (dead stock) atau kekurangan persediaan (stockout). Atas dasar itulah diperlukan suatu model framework sistem prediksi (peramalan) yang dapat memperkirakan kebutuhan persediaan selanjutnya dengan menerapkan jaringan syaraf tiruan untuk melakukan pembelajaran terhadap data historis melalui analisis stok mati (dead stock) dan pola konsumsi pemakaian. Jenis penelitian termasuk Penelitian Terapan. Metode pengumpulan data melalui sistem berjalan SAP R/3, wawancara, observasi dan studi pustaka dengan pemilihan sampel menggunakan teknik purposive sampling. Perancangan menggunakan Prototype ANFIS. Teknik pengujian validasi sistem melalui pendekatan black-box testing sedangkan pengujian kualitas perangkat lunak menggunakan 2 karakteristik model ISO 9126, usability dan efficiency. Kata Kunci : Prediksi, Peramalan, Material Manajemen, Suku Cadang, Spare Parts, Adaptive Neuro Fuzzy Inference System (ANFIS).

PEMILIHAN ALGORITMA PELATIHAN DENGAN TEKNIK OPTIMASI NUMERIS DALAM PENENTUAN “MAHASISWA TERBAIK” REGULER TEKNIK INFORMATIKA Lia Praba Kusuma Putri
Faktor Exacta Vol 4, No 2 (2011): Faktor Exacta
Publisher : LPPM

Usually when making decision for ”The Best Student College” in every departement at University, we use in manualy. Sometimes, we miss some student that honour to be ”The Best Student College” because of withdrawal or has a nepotism or a lot of number of student. The condtiton or problem can be solve if we built a smart system. Many example of smart system was being applied recently in our life. Neural network is one of them. Neural network has many training algorithm to built a smart system. In this paper, we will discuss about how to choose training algorithm that has the fastest epoch for this case. The right algorithm can be used to built a smart system to make decision which one is “The Best Student College” in Tehnic of Informatics. The end of discussion, we compare every algorithm so we can have the best and fastest algorithm to built a smart system. Keywords : Neural Network, numerical optimization, training algorithm,making decision

USULAN PERENCANAAN STRATEGI TEKNOLOGI INFORMASI: STUDI KASUS: PASAR X PT.Y ALUSYANTI PRIMAWATI
Faktor Exacta Vol 5, No 3 (2012)
Publisher : LPPM

The article discusses how to create a management stategy using SWOT analysis method and turn it into TOWS. In the course needed to achieve the vision of marketing strategies in business management, information systems (IS Strategy) and information technology (IT Strategy) should be used. Therefore I am very interested in analyzing how the Pasar X PT. Y is a strong need to define strategies to minimize and manage risks in it. Keyword: Strategy Management, IS Strategy, IT Strategy, BSC.

KAJIAN PENERAPAN MODEL C45, SUPPORT VECTOR MACHINE (SVM), DAN NEURAL NETWORK DALAM PREDIKSI KENAIKAN KELAS LUSI ARIYANI
Faktor Exacta Vol 9, No 1 (2016)
Publisher : LPPM

. Evaluation of the result from student’s studies could be an expectation for the student to go to the next step to continue the next grade at vocational high school. Too many subject ate to be done by students. From the result of the subject which being tested, school can get the average, then school will decided their students can continue to the next grade or not. The prediction for decided about students can go to the next grade or not till this time still in manual and data takes by the result from the end of semester. All predection almost the same with classification which will happen in the future it can be a constraint for the school to manage the rank to solve how to decided about the rank level for the student. The constraint can be solved with analysis which using 3 algorithm C45, algorithm Support Vector Machine and Neural Network. From the result of the research with analysis three of them we’ll know that algorithma Support Vector Machine have high in accuration. Then we can use in class to solve the predection problem abaout students up to the next grade. Keywords: the students, next grade, Algorithm C45, Algorithm Support Vector Mechine, Neural Network.

PERKEMBANGAN POLA PERMUKIMAN MASYARAKAT KAMPUNG MELAYU AGUS VIESTO CHILMY; KARYA WIDYAWATI
Faktor Exacta Vol 6, No 2 (2013)
Publisher : LPPM

Malay village is located around the village of Jatinegara that originally inhabited by the Malay Peninsula immigrants from Malacca (now Malaysia). Position Jatinegara a very strategic area for a band meeting between various public transport to move around the corner of Jakarta and the increasing urbanization of society to Jakarta, causing the increasing population density in Kampung Melayu. Immigrants who come from outside Jakarta with the capacity and limited membership can not afford to buy land in Jakarta that the higher price, then they live and develop semi-permanent houses on land on the outskirts of the outskirts like rail-rail and river bantaran. The larger number of immigrants already caused them to develop their home by the time the Ciliwung. Higher density region awakened from time to time accompanied by a decrease environmental quality. To describe how patterns of development of Kampung Melayu retreat from Holland to the present time and discover the factors that cause the development pattern occurs then this study was conducted. Keywords: Growth, patterns, settlement, village

RANCANG BANGUN DAN PENERAPAN APLIKASI ANDROID PENGENALAN HEWAN-HEWAN BERSUARA UNTUK ANAK USIA DINI PUJI ASTUTI
Faktor Exacta Vol 9, No 4 (2016)
Publisher : LPPM

The purpose of this research was to design an application that can help recognize animal noises that specialize in the school kids kindergarten. The research method used by writer is method grounded (grounded research) is a research method based on the facts and using a comparative analysis with the aim of holding an empirical generalization, establish the concept, to prove the theory, at the same time. In this research data is the source of the theory or theories based on the data. The author can draw the conclusion that the application design animals voiced android-based, it can be used as a benchmark as the progress of perception and memory of children. The result can be more like a child's learning and learning fast to understand this. Keyword: Android, Animal, Early age

PROSES MODELING DALAM APLIKASI WEB Abdul Mufti
Faktor Exacta Vol 3, No 1 (2010)
Publisher : LPPM

In a rapid web development, create a new challenge in the capacity of the complex process of setting and service users and many organizations, by linking the software provided by different organizations. Integrated web application basically allows a dialogue with the user system is mediated by the web service, which facilitates interaction between the process control systems that allows the implementation of the required business coverage. In this paper gives the description of a web engineering method of high-level specification of the display business application processes. Processes and services facilitated by the web application to facilitate the high-level modeling, code generation techniques in full automation has been applied in a conventional webapplication, again widening the benefits of software engineering force, which was implemented with the CASE tool. Keywords: modelling, web, development, application.

PEMILIHAN MODEL PENENTUAN KELAYAKAN PINJAMAN ANGGOTA KOPERASI BERDASARKAN ALGORITMA SUPPORT VECTOR MACHINE, GENETIC ALGORITHMS, DAN NEURAL NETWORK SYAMSIAH SYAMSIAH
Faktor Exacta Vol 7, No 2 (2014)
Publisher : LPPM

Saat ini kredit/pinjaman merupakan salah satu sumber keuntungan bisnis yang dengan resiko tinggi. Banyak metode klasifikasi telah diusulkan dalam literatur untuk mengatasi masalah ini. Tapi kebanyakan tidak diterima oleh para ahli karena berbagai alasan. Kebutuhan untuk mengetahui dan membedakan antara anggota baik dan yang buruk perlu dibangun sehingga pihak yang berkepentingan dapat mengambil salah satu tindakan pencegahan terjadinya masalah kredit macet. Dalam penelitian ini dilakukan Support vector macine, Genetic Algorithms, dan Neural Network terhadap data Anggota yang mendapat pembiayaan kredit/pinjaman koperasi baik yang bermasalah dalam pembayaran angsurannya maupun tidak. Dari hasil pengujian dengan mengukur kinerja ketiga algoritma tersebut menggunakan metode pengujian Cross Validation, Confusion Matrix dan Kurva ROC, diketahui bahwa algoritma GA memiliki nilai accuracy paling tinggi, yaitu 85.25%, diikuti oleh metode SVM dengan accuracy sebesar 83.50% dan yang terendah adalah metode NN dengan nilai accuracy 74.75%. Nilai AUC untuk metode GA juga menunjukkan nilai tertinggi, yaitu 0.776 disusul metode SVM dengan nilai AUC sebesar 0.760, dan yang terendah adalah nilai AUC NN, yaitu 0.714. Melihat nilai AUC dari ketiga metode tersebut maka ketiganya termasuk kelompok klasifikasi cukup karena nilai AUC-nya antara 0.70-0.80. Kata kunci: Support vector machine, Genetixc Algorithms, Neural Network, Receiver Operating Charactheristic, Confusion Matrix

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