Article Per Year (5 Year)
p-Index From 2021 - 2026
1.879
P-Index
This Author published in this journals
All Journal JURNAL MANAJEMEN MUTU PENDIDIKAN (JMMP) Biopropal Industri Faktor Exacta JABE (Journal of Applied Business and Economic) STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Media Karya Kesehatan Klasikal: Journal of Education, Language Teaching and Science Legalitas: Jurnal Hukum Jurnal PkM (Pengabdian kepada Masyarakat) Safari : Jurnal Pengabdian Masyarakat Indonesia Journal of Research and Development on Public Policy Jurnal Abdimas Indonesia Aspirasi : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat IQRA : Jurnal Magister Pendidikan Islam International Journal of Studies in International Education Inovasi Sosial: Jurnal Pengabdian Masyarakat
Syamsiah Syamsiah
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

Published : 20 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Faktor Exacta

 1 
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (822.65 KB) | DOI: 10.30998/faktorexacta.v7i2.255

Abstract

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
PERANCANGAN SISTEM PEMBUATAN PEMBELAJARAN ELEKTRONIK PADA LEMBAGA BIMBINGAN BELAJAR D-LLA COURSE SYAMSIAH SYAMSIAH
Faktor Exacta Vol 7, No 4 (2014)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v7i4.292

Abstract

In order for students to have motivation in the learning process, the methods used in the learning process must be renewed tailored to the interests, intelligence and learning styles of students. One way by using appropriate instructional media that students are more active or a role in the learning process. As the development of Internet technology, e-learning system was developed, so the study and research is needed. The essence of e -learning is a form of conventional learning as outlined in digital format through internet technology. Therefore developing this system is not merely to present the course material in the internet but need to be considered logically. Similarly, the development of a simple design, personal and fast, and entertainment elements will make students learn at home in front of the net. In studies where the research was conducted with the e-learning system is a descriptive method, with data collection using questionnaires and interviews. For the media to be used by students and teachers, he built a Learning Management System. In addition it should be noted that the supporting infrastructure will support the development of e-learning system that dipilih. From system improvements and quality of learning expected learning outcomes expected to be the better Institutions Guidance learning D - LLA COURSE. Keywords: E - Learning, ANP Analysis, Learning Management System
Co-Authors Agus Darmawan agus darmawan Alben Ambarita Arafat, Yasir Bustanussalam Bustanussalam Dwi Dani Apriyani Eris Septiana Erma Suryani Sahabuddin Fatima Ura Pabanne Fauzia Nurul Izzati Fauzy Rachman Ferdricka Nggeboe Halimatussa'diah Halimatussa'diah Halimatus’sadiah Haris H Husunussaadah Husunussaadah Irnawati Irnawati JULIZAL JULIZAL Leny Heliawati Liskawati Liskawati Mulyadi Mulyadi Nunu Kustian Partomuan Simanjuntak Puput Irfansyah Rahmawati, Siti Irma Retna Ningsih Saktiavia Reza Pahlavi Sapriadi Sapriadi Siti Juleha Sowiyah Sowiyah Sutrisno Sutrisno Tjipto Djuhartono Vici Febriana Wien Kusharyoto Yatri Hapsari Yustika Adelia Zulfah Zulfah