Faktor Exacta最新文献_第10页

Algoritma Klasifikasi Data Mining Untuk Memprediksi Siswa Dalam Memperoleh Bantuan Dana Pendidikan 数据挖掘分类算法，预测学生获得教育资金援助

Faktor Exacta Pub Date : 2018-10-01 DOI: 10.30998/FAKTOREXACTA.V11I3.2777

Senna Hendrian

{"title":"Algoritma Klasifikasi Data Mining Untuk Memprediksi Siswa Dalam Memperoleh Bantuan Dana Pendidikan","authors":"Senna Hendrian","doi":"10.30998/FAKTOREXACTA.V11I3.2777","DOIUrl":"https://doi.org/10.30998/FAKTOREXACTA.V11I3.2777","url":null,"abstract":": Education is one of the components of life that can support the success of a person towards life that much better again. Especially for the children that are in the scope of the age of compulsory education. but not all children can attend compulsory education, because several factors cause, one of which is the issue of tuition fees. To cope with the existing problems, then a standalone compiled Bina Bangsa School programs Help Fund education for students who are considered less capable in economic strata. In this study, the author uses the classification Algorithm Datamining Algorithm C4.5 to predict students in obtaining the help of the Education Fund. Sample data are drawn from the Upper secondary school (HIGH SCHOOL) Self-sustaining Bina Bangsa (BBM) that located in Kecamatan Gunungputri Kab. Bogor. From the results of testing and Validation of tests used Cros Confusion Matrix and ROC Curves. The results obtained for the value of Accuracy Algorithm C 4.5 is 98.80%, a value for the Precision of 98.02%, and the value for Sensitivity or Recall of 99.00%. Thus the algorithm C 4.5 is the best techniques and algorithms to predict Students in obtaining the help of the Education Fund.","PeriodicalId":53004,"journal":{"name":"Faktor Exacta","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43658281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 27

Pengurangan Pemborosan Waktu Produksi Pada Proses Pembuatan Rumah Boneka Menggunakan Pendekatan Lean 使用精益方法减少Boneka Home流程的生产时间开发

Faktor Exacta Pub Date : 2018-10-01 DOI: 10.30998/faktorexacta.v11i3.2685

T. Tiara

{"title":"Pengurangan Pemborosan Waktu Produksi Pada Proses Pembuatan Rumah Boneka Menggunakan Pendekatan Lean","authors":"T. Tiara","doi":"10.30998/faktorexacta.v11i3.2685","DOIUrl":"https://doi.org/10.30998/faktorexacta.v11i3.2685","url":null,"abstract":"CV. Puppet house is a small and medium-sized industrial enterprise and manufactures in producing doll house with wood base material. The purpose of this study is to know the kind of wasted production time on each production process at CV. Puppet house and give repair suggestions so as to increase the productivity of puppet house production time. This study uses a quantitative approach with the processing time of each workstation. This study uses a lean approach with tools value stream mapping (VSM), at the beginning of the study, drawing a current state mapping obtained from observations on puppets CV, then from the image was identified problem of each production process. Then analyze the problem using line balancing to level the cycle time, fishbone diagram to find out the factors causing the problem of the production of puppets and the introduction of waste on each production process. In the current state mapping the spend time of 1418.76 with 10 day lead time. After calculating and equating cycle time by using line balancing. Based on the analysis, there are several causes that can cause waste among others: delay of raw material arrival, physical factors of workers, workers who do not follow the work standards determined by the puppets and movements that are not required but performed by the workers. The proposed repair can be given to the CV of these puppets is to communicate well with the supplier, to conduct training once every 3 months to the employees, providing a special place for storage of raw materials and semi-finished materials and do not turn on television while working.Keywords: Lean Manufacturing, Waste, Value Stream Mapping, Lead Time, Fshbone Diagram, CV. Rumah boneka.","PeriodicalId":53004,"journal":{"name":"Faktor Exacta","volume":"84 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41265380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Perancangan Aplikasi Pengendali Listrik Berbasis Web Menggunakan Mikrokontroler At89251 基于At89251单片机的网络电源管理应用程序设计

Faktor Exacta Pub Date : 2018-10-01 DOI: 10.30998/FAKTOREXACTA.V11I3.2774

Aan Risdiana

引用次数: 0

Pengaruh Penyinaran Terhadap Pertumbuhan Kacang Hijau 辐射对青豆生长的影响

Faktor Exacta Pub Date : 2018-09-30 DOI: 10.30998/FAKTOREXACTA.V11I3.2788

Made Gita Somianingsih

引用次数: 0

Sistem Pendukung Keputusan Kinerja Dosen Menggunakan Metode Analytical Network Process (Anp) Pada Universitas 基于分析网络过程（Anp）方法的高校剂量决策支持系统

Faktor Exacta Pub Date : 2018-09-10 DOI: 10.30998/faktorexacta.v11i3.2599

Nahot Frastian, Dona Katarina, Heriyati Heriyati

{"title":"Sistem Pendukung Keputusan Kinerja Dosen Menggunakan Metode Analytical Network Process (Anp) Pada Universitas","authors":"Nahot Frastian, Dona Katarina, Heriyati Heriyati","doi":"10.30998/faktorexacta.v11i3.2599","DOIUrl":"https://doi.org/10.30998/faktorexacta.v11i3.2599","url":null,"abstract":"Teknologi informasi menjadi cara baru dalam mengoperasikan inovasi serta peluang untuk berkembang dan tumbuh, penelitian ini melakukan pembobotan penilaian kinerja Dosen dengan menggunakan metode Analytic al Network Process (ANP) . Penelitian ini didasarkan dengan teknik penilaian sebelumnya yang belum memiliki aturan bobot untuk penilaian. Teknik pembobotan ini dapat digunakan untuk menetapkan aturan pembobotan dari penilaian sehingga pembagian persentase bobot dari penilaian yang lebih jelas. Analytic Network Process (ANP) dan Software Super Decision dalam teori ilmu komputer yang memungkinkan seseorang untuk perubahan di segala bidang kehidupan termasuk diantaranya perubahan terhadap kebutuhan peningkatan sumber daya manusia dan pendidikan pada Universitas. Oleh karena itu, peningkatan kualitas sumber daya manusia yang memiliki daya saing tinggi mutlak diperluka . Proses penilaian kinerja Dosen dengan menggunakan metode Analytic al Network Process (ANP) , yang terdiri dari Pedagogi, Profesional, Kepribadian, Sosial. Kinerja dosen dibobotkan untuk menghasilkan persentase bagi penilaian persepsional kinerja dosen. Hasil dari penelitian ini adalah sebuah sistem yang dapat menghasilkan persentase penilaian persepsional kinerja Dosen yang dapat digunakan sebagai sistem pendukung keputusan. Dari hasil analisis sistem yang lama dan sistem baru metode Analytic al Network Process (ANP) dapat diterapkan sebagai metode dalam penyelesaian masalah penilaian kinerja dosen karena nilai dari dosen dapat digunakan sebagai nilai kinerja dosen, Hal ini perlu dilakukan agar penelitian dapat menghasilkan pengambilan keputusan optimal yang digunakan secara Metode yang digunakan pada penelitian ini adalah Analytic al Network Process (ANP) untuk menetukan kinerja dosen pada universitas.","PeriodicalId":53004,"journal":{"name":"Faktor Exacta","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49317431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

PENGGUNAAN METODE BLACK BOX TESTING (BOUNDARY VALUE ANALYSIS) PADA SISTEM AKADEMIK (SMA/SMK) 黑箱测试（边值分析）方法在一个学术系统上的发展

Faktor Exacta Pub Date : 2018-08-08 DOI: 10.30998/FAKTOREXACTA.V11I2.2510

Puji Astuti

引用次数: 19

Analisis Pengembangan Perpustakaan Digital Bebasis Android Dengan Metode Scrum 用Scrum方法分析基于Android的数字图书馆开发

Faktor Exacta Pub Date : 2018-08-08 DOI: 10.30998/faktorexacta.v11i2.2484

Agung Wahyudi

引用次数: 3

Implementasi Sistem Monitoring Kualitas Air Berbasis Intellegent Sensor Ph Dan Temperatur Pada Wtp Pnj 基于智能传感器的Wtp-Pnj水质监测系统的实现

Faktor Exacta Pub Date : 2018-08-08 DOI: 10.30998/faktorexacta.v11i2.2342

Reza Istoni

{"title":"Implementasi Sistem Monitoring Kualitas Air Berbasis Intellegent Sensor Ph Dan Temperatur Pada Wtp Pnj","authors":"Reza Istoni","doi":"10.30998/faktorexacta.v11i2.2342","DOIUrl":"https://doi.org/10.30998/faktorexacta.v11i2.2342","url":null,"abstract":"Water quality is an important parameter of a WTP. Water quality is one measure that the bottled water products are worth consuming and meeting the prevailing standards. Thus research on water quality monitoring is absolutely necessary at this time. Especially in the current pollution level conditions where it is high. WTP PNJ is a ready to drink drinking water treatment industry that has functioned as a leading center in training, teaching and research place. The equipment used to detect and monitor water quality uses a device called Intellegent self-made sensor and is used to detect pH levels and temperature levels in water. As for the monitoring software used LabVIEW. Intelligent sensors in real time have been successful and proven capable of detecting and monitoring water quality at WTP sources in PNJ based on pH and temperature, then sending data and monitored in real time by LabVIEW software. Detected pH is at an average of 4 for a WTP water source, and its temperature is at an average of 28 0 C. while for drinkable water it is measured on average pH of 7 and its temperature is 24 0 C. Based on the results of this monitoring can be used as a reference in the management of WTP PNJ.","PeriodicalId":53004,"journal":{"name":"Faktor Exacta","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43079499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

SIMULASI KEAMANAN JARINGAN DENGAN METODE DHCP SNOOPING DAN VLAN DHCP SNOOPING和VLAN方法的网络安全模拟

Faktor Exacta Pub Date : 2018-08-08 DOI: 10.30998/faktorexacta.v11i2.2456

Zaeni Miftah

引用次数: 6

Penggunaan Teknologi Augmented Reality Dalam Mempelajari Sistem Tata Surya dengan Android 增强现实技术在安卓学习太阳系中的应用

Faktor Exacta Pub Date : 2018-08-08 DOI: 10.30998/FAKTOREXACTA.V11I2.2515

Aswin Fitriansyah

引用次数: 1