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All Journal Telematika : Jurnal Informatika dan Teknologi Informasi Techno LPPM Seminar Nasional Informatika (SEMNASIF)
Nur Heri Cahyana
Unknown Affiliation
Computer Science & IT Electrical & Electronics Engineering

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SISTEM KEAMANAN PENANGKAL PENCURIAN BAHAN PUSTAKA Nur Heri Cahyana
Telematika Vol 7, No 1 (2010): Edisi Juli 2010
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v7i1.415

Abstract

Library materials (Library), which attracted many visitors seeking information library, the library collection according to its nature there are borrowed to take home and there was borrowed to be read in place, visitors to the library often has limited time to read diperpustakaan, so that not a few collections that often missing. In this research, library materials security system is required to use RFID (Radio Frequency Identification). Which can mengidentifikasii affordable collection through frequency by putting RFID tags on the collection and RFID in the strategic area or the exit from the room so that the collection is out of the room will always be identified or read by the tool. These systems provide data reports and books identified alarm sound from the instrument, if the collection is not allowed.
GROUP DECISION SUPPORT SYSTEM (GDSS) UNTUK MENENTUKAN PRIORITAS PROYEK Nur Heri Cahyana
Telematika Vol 10, No 2 (2014): Edisi Januari 2014
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v10i2.282

Abstract

Every year Yogja Infoservice Company get many offers information technology projects. Priority projects need to be done for efficiency and effectiveness of work with the joint meetingmechanism by a number of employees in charge of three things: technical, financial andadministrative Each field considered priority projects according to criteria that belong to each ofthese fields , which of profitable projects to take precedence in a more objective and prioritizedby each business unit in the company. Because of the decision reached by the collaborativework of three units of Decision Support Systems must be built Group Decision Support System (GDSS ) . Methods of decision-making for each group using the Weighted Product ( WP ) andthe decisions of each group collaborated with BORDA method . The research methodologyuses a System Development Life Cycle and systems development approach using structuredmethods . Results of the study was a model project selection decision support applications thatimplement both methods . The results have been tested and can be used in the system .Keyword : Group Decision Support System, BORDA, Priority projects
Implementation of Mel-Frequency Cepstral Coefficient as Feature Extraction using K-Nearest Neighbor for Emotion Detection Based on Voice Intonation Revanto Alif Nawasta; Nur Heri Cahyana; Heriyanto Heriyanto
Telematika Vol 20, No 1 (2023): Edisi Februari 2023
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v20i1.9518

Abstract

Purpose: To determine emotions based on voice intonation by implementing MFCC as a feature extraction method and KNN as an emotion detection method.Design/methodology/approach: In this study, the data used was downloaded from several video podcasts on YouTube. Some of the methods used in this study are pitch shifting for data augmentation, MFCC for feature extraction on audio data, basic statistics for taking the mean, median, min, max, standard deviation for each coefficient, Min max scaler for the normalization process and KNN for the method classification.Findings/result: Because testing is carried out separately for each gender, there are two classification models. In the male model, the highest accuracy was obtained at 88.8% and is included in the good fit model. In the female model, the highest accuracy was obtained at 92.5%, but the model was unable to correctly classify emotions in the new data. This condition is called overfitting. After testing, the cause of this condition was because the pitch shifting augmentation process of one tone in women was unable to solve the problem of the training data size being too small and not containing enough data samples to accurately represent all possible input data values.Originality/value/state of the art: The research data used in this study has never been used in previous studies because the research data is obtained by downloading from Youtube and then processed until the data is ready to be used for research.
Co-Authors Agusdin, Riza Prapascatama Anjar Yudo Asmoro Anna Astrini Kartika Sari Awang Hendrianto Pratomo Bambang Yuwono Bambang Yuwono Dwi Normawati, Dwi Heriyanto Heriyanto Heru Cahya Rustamaji I Gusti Ngurah ACP Revanto Alif Nawasta Tahalea, Sylvert Prian Toni Dwi Susanto Wilis Kaswidjanti