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Faktor Exacta
ISSN : 1979276X     EISSN : 2502339X     DOI : -
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.
Arjuna Subject : -
Articles 523 Documents
KAJIAN PENERAPAN ALGORITMAC4.5, NEURAL NETWORK DAN NAÏVE BAYES UNTUK KLASIFIKASI MAHASISWA YANG BERMASALAH DALAM REGISTRASI HERU SULISTIONO
Faktor Exacta Vol 8, No 4 (2015)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (835.05 KB) | DOI: 10.30998/faktorexacta.v8i4.501

Abstract

Registration is a registration activities conducted in each semester. In an educational institution, for the administrationis veryimportant. If an educational institution having problems in the administration will be useless and can notlast long. Registration done old studentin each semester is the best way for educational institutions including the University Indraprasta PGRI, such as to be able to determine the number of classes that will be prepared at the beginning of the semestertuition. From the data known to thedecrease in the number of students who will be attending for the nextterm. Therefore,any factorthat causes many problems in the registration of students. Purpose of this researchis to create a classification problem or astudent whois not in the registration,in the study conducted comparison algorithm C4.5, naïvebayes and neural network which is applied to the data in the registration troubled students. This study aimed to measure the accuracy of the comparativestudy of classification algorithms in 3 pieces that students have trouble registering. From the test resultsto measure the performance of the three algorithms using Cross Validation testing methods, Confusion Matrix and the ROC curve, it is known that Naive Bayes algorithm has he high estaccuracy value, ie91.57%, followed by C4.5 method with the accuracy of 91.43% and the lowest Neural Network is a method with a value of89.02% accuracy. Keyword: Data Mining, Algoritma C4.5, Naïve Bayes, Neural Network.
PENGEMBANGAN KONFIGURASI MODEL ANALISIS ARSITEKTUR AGILE PADA PERUSAHAAN BISNIS IT ONLINE (Studi kasus Lazada dan Bhineka.com) RAYUNG WULAN
Faktor Exacta Vol 9, No 2 (2016)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (626.39 KB) | DOI: 10.30998/faktorexacta.v9i2.796

Abstract

The development of company business from time to time are increasing, this factor makes the IT company interested in taking part in the industry. The Marketing Division of IT company tries hard to sell their products and services directly or indirectly. Various ways are used by the company to be able to follow the state of the arts era. Nowadays, the indirect company has come to the online business, it has been seen from many websites that are used by the online business users with their payment system and delivery order. Starts from COD (Cash Order Delivery), transfer or by using the internet banking. The more visitors visit the online business site the more favorite the site choose by them. Configuration and Architecture Agile give the reliable and flexible management that are very important for a big company to be able to survive through competition and to have quality profit. For a high class or high level company, the agile development can be described by the development method focusing on the individual and interactions software and consumer collaboration. They appreciate the unavoidable changes even the most precious software development that is the agile architecture development that can be integrated and sustained and the exact function from the system through development process.  Key Words: Analysis Model, Agile Architecture, IT Business Online
PENERAPAN METODE JALUR KRITIS DALAM PENYUSUNAN JADWAL PELAKSANAAN PROYEK PEMBANGUNAN FASILITAS RUMAH KARYAWAN ELFITRIA WIRATMANI
Faktor Exacta Vol 6, No 3 (2013)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (285.618 KB) | DOI: 10.30998/faktorexacta.v6i3.233

Abstract

Suatu proyek memerlukan perencanaan yang matang, pelaksanaan yang teliti dan baik, serta pemanfaatan yang tepat dari suatu proyek, agar dapat sesuai dengan kebutuhan yang ada. Dalam penyelenggaraan konstruksi, faktor biaya merupakan bahan pertimbangan utama karena menyangkut besarnya terhadap resiko kegagalan. Tujuan dari penelitian adalah untuk menganalisis optimalisasi terhadap penjadwalan proyek, menentukan lintasan kritis dan biaya proyek pembangunan fasilitas rumah karyawan serta membandingkan sebelum dan sesudah menggunakan metode Critical Path Methode (CPM) dan Cost Slope. Metode penelitian yang digunakan untuk optimalisasi proyek konstruksi ini pada proyek berlangsung dari tanggal 1 Februari 2010 – 30 April 2010 adalah dengan menggunkan metode Critical Path Methode (CPM) serta menggunakan Crash Program untuk waktu crash dan penambahan biaya (Cost Slope) terhadap jalur kritis pada penjadwalan proyek. Setelah penulis melakukan penelitian (optimalisasi) serta melakukan pembahasan dan menganalisa permasalahan yang timbul melalui perhitungan-perhitungan, maka peneliti dapat menarik kesimpulan bahwa peneliti dapat mengetahui jalur ktitis pada jadwal kegiatan proyek pembangunan dan mengetahui keuntungan-keuntungan dari waktu dan biaya proyek.
PENGARUH TUTOR SEBAYA TERHADAAP HASIL BELAJAR MATEMATIKA SISWA KELAS VII SMP DAARUSSALAAM JAKARTA Didi Suprijadi
Faktor Exacta Vol 3, No 2 (2010): Faktor Exacta
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (232.369 KB) | DOI: 10.30998/faktorexacta.v3i2.17

Abstract

Tujuan Penelitian ini adalah untuk menemukan secara empiris tentang pengaruh penggunaan teknik tutor sebaya terhadap hasil belajar matematika siswa pada pokok bahasan segi empat. Penelitian ini digunakan dengan menggunakan metode eksperimen. Sedangkan teknik pengambilan sampel dalam penelitian ini adalah dengan purposive random sampling dengan jumlah sampel dari populasi yang berjumlah 40 siswa. Instrumen dalam penelitian ini menggunakan soal tes evaluasi yang berjumlah 20 soal pilihan ganda. Analisis data menggunakan statistik deskriptif, uji syarat data, yakni uji normalitas dan homogenitas serta uji beda rata-rata. Hasil pengujian hipotesis ini diperoleh melalui uji beda rata-rata(uji t) pada taraf signifikasi 5%. Dari hasil analisa data diperoleh rata-rata skor kelas eksperimen = 12,8 dengan varian = 6,43 sedangkan rata-rata kelas kontrol = 11,5 dengan varian = 8,42. Hasil pengujian hipotesis diperoleh thit = 2,089 sedangkan ttabel = 2,02. Karena thit > ttabel maka dengan demikian H0 ditolak dan H1 diterima. Dari hasil penelitian dapat diperoleh kesimpulan bahwa penggunaan tutor sebaya dalam pembelajaran matematika, khususnya pada pokok bahasan segi empat dapat meningkatkan hasil belajar siswa. Kata Kunci : Tutor Sebaya, Hasil Belajar Matematika, Analisa Kompharasi, Uji Kesamaan dua Rata-rata.
SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN PENERIMA “AWARD” DI AGEN TIKET ON-LINE MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING AGUS PAMUJI
Faktor Exacta Vol 8, No 1 (2015)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (655.484 KB) | DOI: 10.30998/faktorexacta.v8i1.298

Abstract

Agen tiket online merupakan sebuah lembaga yang memberikan jasa untuk melayani pemesanan tiket perjalanan, baik tiket pesawat maupun tiket kereta api. Seiring dengan semakin meningkatnya jumlah transaksi dan bertambahnya jumlah pelanggan yang tetap menunjukan loyalitas untuk selalu percaya kepada agen tiket online, maka diadakan penerimaan reward oleh manajemen sebagai bentuk apresiasi perusahaan terhadap sejumlah pelanggan. Untuk membantu dalam menentukan seorang pelanggan yang yang berhak mendapatkan reward maka dibutuhkan sebuah sistem pendukung keputusan. Dalam proses membuat dan membangun sistem pendukung keputusan untuk menentukan penerima reward di agen tiket online maka menggunakan metode Simple Additive Weighting (SAW) yang ditunjang oleh metode Fuzzy Multiple Attribute Decission Making (FMADM). Pemilihan metode Fuzzy Multiple Attribute Decission Making disebabkan karena mampu menyeleksi alternatif yang paling efektif dari sejumlah alternatif, dalam hal ini alternatif yang dimaksudkan yaitu yang berhak penerima reward berdasarkan kriteria-kriteria yang ditentukan. Penelitian dilakukan dengan mencari nilai bobot untuk setiap atribut, kemudian dilakukan proses perangkingan yang akan menentukan alternatif yang optimal. Berdasarkan hasil pengujian, sistem yang dibangun dapat membantu kerja tim khusus yang menyelekasi pemberian reward, dapat mempercepat proses penyeleksian penerima reward, dapat mengurangi kesalahan dalam menentukan pemberian reward terhadap pelangan. Kata kunci: Kriteria, Reward, SAW, Bobot, Pelanggan.
PERANCANGAN MONITORING SUHU DAN KELEMBABAN GEDUNG BERBASIS SMART SENSOR Nur Alam
Faktor Exacta Vol 10, No 4 (2017)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v10i4.2063

Abstract

Temperature is a parameter that becomes a convenience factor for building users. In addition to temperature, a factor that is very influential on the building maintenance process is moisture. Smart sensors designed and manufactured in this study have been successfully tested. Smart sensors made this has many advantages that is small size, easy to be placed in the corner of the room, as well as smart sensor is controlled and data monitoring results can be read via LabView, android and web. Software used in this research is Arduino IDE and also LabView. The results of this study have obtained data measurement and monitoring of temperature and humidity in real time through LabView software from building that is Building C PNJ. Temperature and humidity monitoring is done in real time at three times, ie morning, noon and afternoon. The results of temperature monitoring and humidity in the building can be monitored in real time and the data can be stored through notepad or excel format. The results of this temperature and humidity monitoring have also been calibrated with a benchmark. Calibration results occur a difference of 0.5 to 1 point, this becomes a measure in increasing the sensitivity of the smart sensor.
ANALISA SISTEM INFORMASI SEWA MENYEWA PADA PASAR FESTIVAL PT. BAKRIE PESONA RASUNA Alusyanti Primawati
Faktor Exacta Vol 4, No 3 (2011): Factor Exacta
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (448.638 KB) | DOI: 10.30998/faktorexacta.v4i3.50

Abstract

This article discusses the analyze system information of leasing at the Festival Market PT. Bakrie Enchantment Rasuna being applied. The objective is to analyze the information system on the Market Festival lease so as to obtain valid information for subsequent decisions during system development. Research methodology used is observation and interviews. This research is applied research (applied research) is by studying the theories of previous research (library research), followed by falls spaciousness or observation, this method is used to collect data in a way to see directly the activities at the Festival Market Management Office, while the interview method used to collect data by asking each employee or employees that existed at the Festival Market management office, PT. Bakrie Rasuna Enchantment. Problems encountered during the study is the subsystem that leasing is still ambiguous and therefore we want mengekplorisasi lease subsystem in more detail into a system by analyzing a system already running on PT. Bakrie Enchantment Rasuna especially on rental Rent System in the Market Festival. After making observations and interview then obtained a lease system that is running through the application of Data Flow Diagrams (DFD), Context Diagram, Diagram and Detailed Decomposition Diagram and the display screen so that is unknown how the processes in the system and ultimately this information could be used to make decisions for further system development.Key Words: the system information of leasing, analyze the information system
VARIASI SOMAKLONAL TANAMAN KANTONG SEMAR (NEPENTHES MIRABILIS DAN N. GRACILIS) SECARA IN VITRO DENGAN MUTAGEN KIMIA KOLKISIN FITRI DAMAYANTI; IKA ROOSTIKA
Faktor Exacta Vol 8, No 3 (2015)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (335.196 KB) | DOI: 10.30998/faktorexacta.v8i3.324

Abstract

Nepenthes are potential to be commercialized because of the shape and color of their unique pitcher. Generally, people are interested in new and rare types which have unique color, shape, and size of pitcher.  However, the increase of its demand has led to the decrease of natural populations due to overexploitation in the natural habitats in Indonesian forests without sufficient cultivation or replacement efforts. The genetic erosion has resulted in low level variation of this species. In vitro plant breeding can be carried out through somaclonal variation. The objective of this study was to obtain somaclonal variation method by using colchicin as a chemical mutagen. In vitro shoot of N. mirabilis and N. gracilis were used in this research as explant that planted in ¼ MS + colchicin at the level of 0, 0.05, 0.075, and 0,1%. The application of colchicin could produced cultures with high level of growth than control. The best result was obtained from colchicin at a level of 0.05% as a alternative in vitro to improve genetic variation. Key words: N. mirabilis, N. gracilis, somackonal variation, colchicin 
PENGARUH DENSITAS DAN VISKOSITAS TERHADAP PROFIL KECEPATAN PADA ALIRAN FLUIDA LAMINAR DI DALAM PIPA HORIZONTAL BONI SENA
Faktor Exacta Vol 5, No 3 (2012)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (583.526 KB) | DOI: 10.30998/faktorexacta.v5i3.196

Abstract

Proses aliran fluida di dalam pipa menjadi hal yang fundamental di dunia industri sehingga dibutuhkan proses perancangan aliran fluida di dalam pipa untuk mencapai safety dan efisiensi sistem. Metodologi simulasi aliran fluida yang paling detail dan efisien adalah computational fluid dynamics (CFD). Hasil penelitian didapatkan dengan melakukan variasi densitas dan viskositas untuk melihat pengaruhnya terhadap kecepatan fluida. Ketika densitas fluida semakin besar maka posisi fluida untuk mencapai kondisi berkembang penuh semakin jauh. Buktinya adalah ketika densitas mengalami kenaikan menjadi 3 kg/m3, fluida belum mencapai kondisi berkembang penuh pada posisi 5,64 m dengan kecepatan sebesar 1,79 m/s dan kecepatan maksimum fluida sebesar 1,9 m/s. Semakin besar densitas dan viskositas maka rata-rata kecepatan fluida semakin rendah dan kondisi berkembang penuh tidak pernah tercapai dalam jarak 10 m. Ketika densitas sebesar 10 kg/m3 dan viskositas sebesar 2 x 10-3 kg/m.s, rata-rata kecepatan fluida sebesar 1,4 m/s. Ketika densitas dan viskositas meningkat menjadi 30 kg/m3 dan 4 x 10-3 kg/m.s maka rata-rata kecepatan fluida menjadi 1,32 m/s. Semakin meningkat viskositas dan semakin menurun densitas maka kondisi berkembang penuh semakin cepat tercapai dalam jarak 10 m. Ketika nilai viskositas 4 x 10-3kg/m.s dan densitas 0,5 kg/m3, kecepatan konstan sebesar 1,96 dicapai pada posisi 4,73 m. Ketika nilai viskositas 6 x 10-3kg/m.s dan densitas 0,25 kg/m3, kecepatan konstan sebesar 1,96 m/s dicapai pada posisi 1,45 m. Kata Kunci: densitas, viskositas, CFD, kecepatan
KOMPARASI PENERAPAN ALGORITMA C45, KNN DAN NEURAL NETWORK DALAM PROSES KELAYAKAN PENERIMAAN KREDIT KENDARAAN BERMOTOR PUJI ASTUTI
Faktor Exacta Vol 9, No 1 (2016)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (499.838 KB) | DOI: 10.30998/faktorexacta.v9i1.744

Abstract

. In the development of business,credit problems remain tobe studie reveal edinteresting. Most problems the system imposed b ythe bank but the problem occur spreci selyt the human resources to manage credit, either on itsrelationship with the consumer or the mistake in leasing the wrong predictions in assessing consumers who apply for credit. Some computers have a lot offiel dresear chconductedto reduce the credit risk of causing harm to the company. In this study a comparison algorithm C4.5, KNN and theneural network which is appliedto the data consumer who gets the credit worthiness of motor good receptionis problematic in the install mentpaymentor not. The current methodhas not beenable to determinethe appropriatedata mining. The process of counting to three algorithms and programsadded with rapidminer can produce data that isaccurate and useful for all parties especially bess finance to further simplify the system in terms of determining the credit acceptan cevehiclesn results obtained C45 turns algorithmis more accuratein comparison witht woother algorithms. Keywords: C4.5, KNN, neural network, RapidMiner, Data Mining