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All Journal BERKALA FISIKA JURNAL SISTEM INFORMASI BISNIS YOUNGSTER PHYSICS JOURNAL Jurnal Sains dan Teknologi Jurnal Ilmiah Kursor Jurnal Teknologi Informasi dan Ilmu Komputer Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Journal of Physics and Its Applications Journal of Information Systems and Informatics Jurnal Fisika Indonesia JINAV: Journal of Information and Visualization Jurnal Algoritma Journal of Emerging Science and Engineering Scientific Journal of Informatics
Catur Edi Widodo
Departemen Fisika, Fakultas Sains Dan Matematika, Universitas Diponegoro, Semarang
Astronomy Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Library & Information Science Materials Science & Nanotechnology Mathematics Physics

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Journal : JURNAL SISTEM INFORMASI BISNIS

 1 
Rancang Bangun Sistem Informasi Customer Loyalty untuk Keunggulan Kompetitif Organisasi Mulyani, Sri; Mustafid, Mustafid; Widodo, Catur Edi
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 2, No 2 (2012): Volume 2 Nomor 2 Tahun 2012
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (394.22 KB) | DOI: 10.21456/vol2iss2pp053-057

Abstract

Utilization of information technology to achieve competitive advantage has become a necessity  for business people and managers of organizations  in the information age now. This research aim to create a customer loyalty that the information system is one part of theCustomer  Relationship  Management  to  collect  data  on  indicators  of  customer  loyalty.  Indicator  of  customer  loyalty  is  determined according  empirical  model  customer  loyalty  and  create  customer  loyalty  information  system  that  can  be  used  to  gain  competitive advantage organizations. Structural Equation Modeling is used to obtain indicators of customer loyalty. Customer loyalty info rmation system designed using prototype system development and modeling analysis using Data Flow Diagram, database design using  Entity Relationship  Diagram,  and  a  web-based  interface.  Web-based  information  systems  that  provide online  customer  survey  facilities  and analysis  results  in  the  form  of  customer  loyalty  index  values  shaped  by  the  dynamic  graphic  indicator  of  loyalty  according  to  the empirical study of customer loyalty that can be used to gain competitive advantage. The value of customer loyalty index cons ists of four main variables, namely: the ability to anticipate customer value, customer value anticipation peace, customer satisfaction, and loyalty.Keywords: Customer loyalty, Structural Equation Modeling, Index loyalty, Competitive advantage
Penggunaan Algoritma CART untuk Pemilihan Bingkai Kacamata dengan Penerapan Model Morfologi Indeks Wajah untuk Identifikasi Bentuk Wajah Retno Hapsari, Angga Ayu; Gernowo, Rachmat; Widodo, Catur Edi
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 10, No 1 (2020): Volume 10 Nomor 1 Tahun 2020
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1090.936 KB) | DOI: 10.21456/vol10iss1pp1-9

Abstract

The large variety of frame shapes and sizes make it difficult for consumers to choose which one suits their face. The absence of a standard frame style guide between face types against the eyeglass frame complicates the selection of eyeglass frames. The application of the Zen principle (balance) in the selection of the right frame expected to be a consideration in choosing eyeglass frame. Various forms of eyeglass frames that look like a square, round and oval make the Zen principle difficult to apply, so machine learning is needed to be able to create eyeglass frames selection system. Face shape identification help to determine eyeglass frames. Face shape identification is done based on the morphological facial index by calculating face length and width. The decision tree CART algorithm is chosen as a method for selecting eyeglass frames. The study uses 109 face data that have been selected by the optical, from 109 data divided into two parts, 100 training data, and 9 test data. The prediction system produces an accuracy value of 93% at max depth 6 for reading glasses and 91% for sunglasses. The implementation of the CART algorithm is proven to be able to predict the selection of eyeglass frames using morphological attributes of face index.
Co-Authors Agusta Rakhmat Taufani Aprilia Ayu Andarinny Arif Setiawan Budi Warsito Choirul Anam AM Diponegoro Didik Supriyadi, Didik Eko Sediyono Fatkhur Rohman Figur Humani Fitra Nur Asri, Muh H Hadiyanto Hadyan Arifianto Husen Nasrullah Armin I Gusti Bagus Wiksuana Irwan Agus Saputro Isnain Gunadi Iswanti, Arie Jatmiko Endro Suseno K. Sofjan Firdausi Kusworo Adi Kuworo Adi Labib Mustofa, Refo Labib Mustofa, Tarno Muchammad Azam, Muchammad Mustafid Mustafid Oky Dwi Nurhayati Otong Saeful Bachri R Rizal Isnanto R. Rizal Isnanto Rachmat Gernowo Rahmatika, Yuni Ramanda, Febri Retno Hapsari, Angga Ayu Rizky Ayomi Syifa Romadhon, Zainur Royani, Noorhanida Saitem Saitem Salsabila Naqiyah Sri Mulyani Tri Retnaningsih Soeprobowati Tutur Urip Ucky Pradestha Novettralita Wahyu Adi Wibowo Yulaikha Maratullatifah Zainal Bachrudin