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Real Time Face Recognition using Eigenface and Viola-Jones Face Detector Jacky Efendi; Muhammad Ihsan Zul; Wawan Yunanto
JOIV : International Journal on Informatics Visualization Vol 1, No 1 (2017)
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1225.551 KB) | DOI: 10.30630/joiv.1.1.15

Abstract

Authentication is the process of verifying one’s identity, and one of its implementation is in taking attendances in university’s lectures. Attendance taking is a very important matter to every academic institution as a way to examine students’ performance. Signature based attendance taking can be manipulated. Therefore it has problems in verifying the attendance validity. In this final project, a real time eigenface based face recognition is implemented in an application to do attendance taking. The input face image is captured using a webcam. The application itself is built in C#, utilizing EmguCV library. The application is developed using Visual Studio 2015. Face detection is done with Viola-Jones algorithm. The eigenface method is used to do facial recognition on the detected face image. In this final project, a total of 8 testings are done in different conditions. From the testings, it is found that this application can recognize face images with accuracy as high as 90% and as low as 6.67%. This solution can be used as an alternative for real-time attendance taking in an environment with 170 lux light intensity, webcam resolution of 320 x 240 pixel, and the subject standing 1 meter away while not wearing spectacles. The average recognition time is 0.18125 ms.
Penambangan pola non-zero-rare sekuensial pada pengenalan aktifitas Mohammad Iqbal; Chandrawati Putri Wulandari; Wawan Yunanto; Ghaluh Indah Permata Sari
Jurnal Matematika MANTIK Vol. 5 No. 1 (2019): Mathematics and Applied Mathematics
Publisher : Mathematics Department, Faculty of Science and Technology, UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (434.717 KB) | DOI: 10.15642/mantik.2019.5.1.1-9

Abstract

Discovering rare human activity patterns—from triggered motion sensors deliver peculiar information to notify people about hazard situations. This study aims to recognize rare human activities using mining non-zero-rare sequential patterns technique. In particular, this study mines the triggered motion sensor sequences to obtain non-zero-rare human activity patterns—the patterns which most occur in the motion sensor sequences and the occurrence numbers are less than the pre-defined occurrence threshold. This study proposes an algorithm to mine non-zero-rare pattern on human activity recognition called Mining Multi-class Non-Zero-Rare Sequential Patterns (MMRSP). The experimental result showed that non-zero-rare human activity patterns succeed to capture the unusual activity. Furthermore, the MMRSP performed well according to the precision value of rare activities.
PEMANFAATAN PROCESS MINING PADA E-COMMERCE Wawan Yunanto; Kartina Diah KW
Seminar Nasional Informatika (SEMNASIF) Vol 1, No 1 (2015): Informatika Dalam Pengelolaan Sumber Daya Alam
Publisher : Jurusan Teknik Informatika

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Abstract

Organisasi menyimpan rekaman aktivitas proses bisnis yang terjadi pada proses di lapangan dalam log data dengan berbagai format. Rekaman aktivitas ini disimpan dalam rangka menghasilkan sebuah model proses bisnis berdasarkan aktivitas pengguna pada proses nyata di lapangan. Dari proses model yang dihasilkan dapat dilakukan analisis tentang kesesuaian antara proses bisnis yang terjadi pada proses nyata di lapangan dengan proses bisnis yang diharapakan oleh organisasi. Analisis ini disebut sebagai conformance checking yang bertujuan untuk mendeteksi deviasi yang terjadi antara proses bisnis yang diharapkan dengan proses bisnis dari proses nyata di lapangan dan sebaliknya. Suatu proses bisnis dikatakan sudah sesuai dengan regulasi (compliant) apabila tidak ada deviasi/nonconformance dalam eksekusinya dari proses bisnis yang telah didefinisikan mengikuti standar.
Desain Sistem Informasi Evaluasi Diri Program Studi Teknik Informatika Politeknik Caltex Riau Juni Nurma Sari; Wawan Yunanto
Seminar Nasional Teknologi Informasi Komunikasi dan Industri 2011: SNTIKI 3
Publisher : UIN Sultan Syarif Kasim Riau

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Abstract

Self Evaluation is part of qualty assurance proses of high education institution. The objective of self evaluation is continous improvement. There are two kind evaluation that is internal evaluation and external evaluation. Internal evaluation done by civitas academica inside department. External evaluation done by Badan Akreditasi Nasional Perguruan Tinggi (BAN-PT). Internal evaluation is preparation for external evaluation. Self evaluation need three years academic record. That data must be collected from BAAK (Badan Administration Akademik dan Kemahasiswaan) , IT deparment, staf and human resource department. It is difficult, because sometimes data is not consistent. Self Evaluation Information System would be a solution. It can make self evaluation process more easier also complitness of acreditation standard, because data already prepared. This Information System is development of Academic Information System PCR, with another data adds on such as facility, lecturer, quality assurance, alumni etc. That data appropriate with standar acreditation(borang akreditasi)  which used as reference Self Evaluation Information System design. Information System will be build using My SQL and PHP. Hopefully, Self Evaluation Information System can make the proses of self evaluation internal or external more effisien, so the continous improvement will be reached faster.  Keyword : Information System, Sel Evaluation, Acreditation Standard, My SQL, PHP
Heuristics Miner for E-Commerce Visitor Access Pattern Representation Kartina Diah Kesuma Wardhani; Wawan Yunanto
Communications in Science and Technology Vol 2 No 1 (2017)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21924/cst.2.1.2017.21

Abstract

E-commerce click stream data can form a certain pattern that describe visitor behavior while surfing the e-commerce website. This pattern can be used to initiate a design to determine alternative access sequence on the website. This research use heuristic miner algorithm to determine the pattern. σ-Algorithm and Genetic Mining are methods used for pattern recognition with frequent sequence item set approach. Heuristic Miner is an evolved form of those methods. σ-Algorithm assume that an activity in a website, that has been recorded in the data log, is a complete sequence from start to finish, without any tolerance to incomplete data or data with noise. On the other hand, Genetic Mining is a method that tolerate incomplete data or data with noise, so it can generate a more detailed e-commerce visitor access pattern. In this study, the same sequence of events obtained from six-generated patterns. The resulting pattern of visitor access is that visitors are often access the home page and then the product category page or the home page and then the full text search page.
Manajemen Pengetahuan Melalui Web 2.0 (Wikipedia) pada Organisasi Delfi Angela; Wawan Yunanto; Yohana Dewi Lulu Widyasari
JURNAL INFOTEL Vol 9 No 3 (2017): August 2017
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v9i3.245

Abstract

Himpunan mahasiswa merupakan wadah bagi setiap mahasiswa program studi tertentu yang bertujuan untuk menampung aspirasi setiap anggotanya. Proses berbagi pengetahuan biasanya dilakukan melalui pertemuan langsung yang dilakukan di dalam kelas, diskusi, dan rapat. Sistem manajemen pengetahuan dapat mengelola dan mendokumentasikan semua pengetahuan setiap anggotanya agar proses berbagi pengetahuan tidak terhambat. Penelitian ini mengembangkan sebuah sistem manajemen pengetahuan web 2.0 dengan konsep Wikipedia. Konsep Wikipedia diterapkan untuk memungkinkan setiap anggota organisasi dalam menambah, menghapus, dan memperbaiki isi dari website. Informasi dan pengetahuan yang ada dapat dimanfaatkan dan diperbaharui secara terus menerus oleh sesama anggota organisasi. Proses manajemen pengetahuan yang digunakan pada sistem ini adalah knowledge discovery, knowledge capture dan knowledge sharing. Hasil dari pengujian User Acceptance Test yang telah dilakukan bahwa sistem manajemen pengetahuan telah dapat diterima oleh organisasi dalam membantu anggota organisasi mengembangkan pengetahuan serta mendapatkan pengetahuan yang baru.