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INDONESIA
Telematika : Jurnal Informatika dan Teknologi Informasi
Published by Universitas Pembangunan Nasional Veteran Yogyakarta
ISSN : 1829667X     EISSN : 24609021     DOI : 10.31315
Core Subject : Engineering,
Electrical & Electronics Engineering
Arjuna Subject : -
Articles 361 Documents
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PENGEMBANGAN MODEL PUBLIC MONITORING SYSTEM MENGGUNAKAN RASPBERRY PI Bambang Yuwono; Simon Pulung Nugroho; Heriyanto Heriyanto
Telematika Vol 12, No 2 (2015): Edisi Juli 2015
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v12i2.1409

Abstract

Limitations of the data processing device is large enough shape so it is less flexible in mobile functionality. Raspberry Pi is a single board computer (single-board computer) or a credit card-sized SBC. Raspberry Pi has been equipped with all functions like a complete computer, using a SoC (System-on-a-chip) ARM packaged and integrated on the PCB. CCTV is one device that is expected to reduce the crime rate in public areas. But the high cost of installation constraints (either electrical or network) and limited mobility placement tool makes use of the device is not maximal yet. This study offers an alternative solution to fix the above problems. Prototype Development of Public Monitoring System Using a Raspberry Pi is an initial sub-study of grand research Intelligent Application Integration Public Monitoring System. The output will be achieved is to build a device for monitoring systems that have mobility design that can be placed in various places. With this research is expected to provide the use of Raspberry Pi discourse to establish a monitoring system that is inexpensive and power-efficient government support programs.
SISTEM INFORMASI BERBASIS WEB PANDUAN DIET BAGI PENDERITA PENYAKIT JANTUNG Nur Heri Cahyana; Wilis Kaswidjanti; Anna Astrini Kartika Sari
Telematika Vol 7, No 2 (2011): Edisi Januari 2011
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v7i2.422

Abstract

The cause of heart disease is the result of a continuous process, in which the heart gradually loses its ability to perform functions normally and there was narrowing and blockage of heart arteries. The occurrence of blockage and narrowing of the coronary arteries is caused by the buildup of fatty substances (cholesterol, triglycerides) under the innermost layer (endothelium) of the artery wall. To prevent and reduce the risk of heart disease can be done by adjusting the diet according to nutritional needs, food is recommended and the type of heart disease suffered by the user. In this study using the method of Waterfall in perancanganan and development. This website is made by using the PHP web programming language and MySQL database, for layout and design using Macromedia Dreamweaver. Through this system, users can find a food that is recommended for the type of illness, and to know the nutritional calculation in accordance with the nutritional needs of the user to input some data users, then the user can select the desired food and knowing the energy content, protein, fat and carbohydrate in these foodstuffs.
DETEKSI UCAPAN ANGKA SATU SAMPAI SEPULUH BAHASA PALEMBANG MENGGUNAKAN MFCC DAN BOBOT DOMINAN Heriyanto Heriyanto
Telematika Vol 16, No 1 (2019): Edisi April 2019
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v16i1.3024

Abstract

Abstract Detecting speech with regional language, one of which is Palembang language, has uniqueness and distinctiveness in accent. Differences in dialects to check how precise and influential the accuracy of using MFCC and dominant weights. This study consists of three stages. The first stage, feature extraction of numerical numbers from one to ten using Mel Frequency Cepstral Coefficient (MFCC). The second stage is the selection of features that will be used as feature tables using the proposed model Normalized Dominant Weight (NBD) with threshold similarity, range, filtering, normalization of weights and dominant weights. The third stage is testing by checking by finding similarities in range, filtering, sequential multiplication and calculation of Suitability of Uniformity Patterns (CTF). The test results of checking MFCC and feature selection with normalization of dominant weights were 70% while without feature selection only 42%. Keywords : extraction, weighting, dominant, normalization, range Abstrak Deteksi ucapan dengan berbahasa daerah salah satunya bahasa Palembang mempunyai keunikan dan kekhasan dalam logat berbahasa. Perbedaan logat bahasa untuk mengecekan seberapa tepat dan berpengaruh terhadap akurasi menggunakan MFCC dan Bobot dominan. Penelitian ini terdiri atas tiga tahap. Tahap pertama, ekstraksi ciri angka bahasa angka satu sampai sepuluh menggunakan Mel Frequency Cepstral Coefficient (MFCC). Tahap kedua adalah pemilihan fitur yang akan dijadikan tabel fitur menggunakan model yang diusulkan Normalisasi Bobot Dominan (NBD) dengan kesamaan threshold, jangkauan, filtering, normalisasi bobot dan bobot dominan. Tahap ketiga adalah pengujian dengan pengecekan dengan cara mencari kesamaan jangkauan, filtering, perkalian sekuensial dan perhitungan Kesesuaian Keseragaman Pola (KKP). Hasil pengujian pengecekan terhadap MFCC dan pemilihan fitur dengan normalisasi bobot dominan sebesar 70% sedangkan tanpa pemilihan fitur hanya sebesar 42%. Kata kunci : ekstraksi, bobot, dominan, normalisasi, jangkauan
PERANCANGAN INTERAKSI MENGAMBIL OBYEK VIRTUAL DI AUGMENTED REALITY Yuri Yudhaswana Joefrie
Telematika Vol 9, No 2 (2013): Edisi Januari 2013
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v9i2.289

Abstract

This research promoted the topic concerning the interaction technique using virtualhand in Augmented Reality environment (AR). The kind of interaction researched uses trackerlibrary that use marker to know the human gesture. This research results in virtual hand designthat can be used to interact with virtual object. With the kind of interaction i.e. grab the virtualobject and drop that grabbed virtual object to the place desired and the design of virtual handthat similar to the real,. So that it is expected virtual hand could be another alternative on howwe interact in world of augmented reality.Kata kunci : Augmented Reality, Virtual Hand, Natural Gesture
MEDIA PEMBELAJARAN ANALOG OSCILLATOR VIRTUAL LABOLATORY Aji Widhi Wibowo; Syifaul Fuada
Telematika Vol 13, No 1 (2016): Edisi Januari 2016
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v13i1.1717

Abstract

The purpose of this research is to design and implement a Virtual Labolatory Materials Signal Processing Sub discussion 'Oscillator' Analog as Newspapers. Developers using the model Sutopo Ariesto Hadi (2003) as a method to produce the product. Consists of six stages: concept, design, material collecting, assembly, testing and distribution. This results in the development of Virtual media Labolatory with material 'Oscillator' with the results of 4 (four) practicum digital oscillator, namely (1) Oscillator Wien Bridge, (2) Colpitts oscillator, (3) Oscillator Hartley and (4) astable multivibrator. Another result is that a user be jobsheet practicum. There are two types, namely: (1) jobsheet grip lecturers and (2) jobsheet for students. In Jobsheet there is a short book that contains the Manual on procedures for the use of virtual labolatory when practical and anatomical description of the product. Virtual Labolatory consists of the initial page (flash scren), the main page (home), pages and pages about the developer's lab referring to the story board. There are four (4) test are: (1) the truth polarity capacitor, (2) the connection (wiring), (3) mode frequency and time in the meter frequency
ANALISA ASOSIATIF DATA MINING UNTUK MENGETAHUI POLA KECELAKAAN LALU LINTAS Agus Sasmito Aribowo
Telematika Vol 8, No 2 (2012): Edisi Januari 2012
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v8i2.458

Abstract

The data of traffic accident can be processed into information that is important for Police Department. Those important information researched is to analyze the traffic accident data to find out is there any link between the occurrence of an accident to a certain brand of vehicle.This research implementing data mining method to process the data traffic accident by using data mining techniques called Apriori Method. Apriori Method is used to identify a pattern of accidents based on brand, type of vehicles, and the vehicle’s color. The results are used to estimate whether there is any correlation between the occurrences of a traffic accident to a particular brand.The result can help the Police Department to find out whether there is any correlation between the occurrence of traffic accidents to the brand, type and the color of vehicle.
APLIKASI PRESENSI PENGENALAN WAJAH DENGAN MENGGUNAKAN ALGORITMA HAAR CASCADE CLASSIFIER Moh. Wahyu Septyanto; Herry Sofyan; Herlina Jayadianti; Oliver Samuel Simanjuntak; Dessyanto Boedi Prasetyo
Telematika Vol 16, No 2 (2019): Edisi Oktober 2019
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v16i2.3182

Abstract

AbstractPresence using face already widely adopted as a way of monitoring employee attendance. Research on using facial Presence never been done before by applying algorithms and algorithms Eigenface linear discriminant analysis (LDA). However, previous research has found that there are still weaknesses in the algorithms used. The weakness is that the process of identifying which takes a long time because the process of calculating the value carried on the overall image or image and the distance of the face of the webcam can affect the process of identifying faces. In this study, the algorithm used is haar cascade classifier algorithm. Haar classifier cascade or known by other names haar-like features are the rectangular features (square function), which gives an indication of the specifics on a picture or image. Principle Haar-like features are recognizing objects based on simple values of the features but not the pixel values of the object image. This method has the advantage that the computation is very fast, because it depends on the number of pixels in a square instead of each pixel value of an image. Haar classifier cascade also still be able to identify faces even if the distance face with the webcam is considerably due to the value of the facial features can still be identified. Results from this study that the system can identify the face with a good degree of accuracy. Tests carried out to 13 employees Starcross Store with each employee doing 30 times the experiment presence. Attendance successful has the success rate is 87% and 13% of the total failure of the experiment 390 times. Some absences failed to happen because there are several factors that can affect attendance as high luminance, uplifted head position, and the use of attributes (hats, glasses, etc.).Keywords : Presence, face recognition, Haar cascade classifier algorithmPresensi menggunakan wajah sudah banyak diterapkan sebagai cara untuk pemantauan kehadiran pegawai. Penelitian tentang presensi menggunakan wajah pernah dilakukan sebelumnya dengan menerapkan algoritma eigenface dan algoritma linear discriminant analysis (LDA). Namun dari penelitian sebelumnya telah ditemukan kelemahan yaitu pada proses pengidentifikasian yang membutuhkan waktu cukup lama dikarenakan proses perhitungan nilai dilakukan pada keseluruhan citra atau image dan jauhnya jarak wajah dari webcam dapat mempengaruhi proses pengidentifikasian wajah tersebut. Pada penelitian ini algoritma yang digunakan adalah algoritma haar cascade classifier. Haar cascade classifier atau yang dikenal dengan nama lain haar-like features merupakan rectangular features (fungsi persegi), yang memberikan indikasi secara spesifik pada sebuah gambar atau image. Prinsip Haar-like features adalah mengenali obyek berdasarkan nilai sederhana dari fitur tetapi bukan merupakan nilai piksel dari image obyek tersebut. Metode ini memiliki kelebihan yaitu komputasinya sangat cepat, karena hanya bergantung pada jumlah piksel dalam persegi bukan setiap nilai piksel dari sebuah image. Haar cascade classifier juga masih dapat mengidentifikasi wajah walaupun jarak wajah dengan webcam terbilang jauh dikarenakan nilai fitur wajah masih dapat diidentifikasi. Hasil dari penelitian ini bahwa sistem dapat mengidentifikasi wajah dengan tingkat akurasi baik. Pengujian dilakukan kepada 13 karyawan Starcross Store dengan masing-masing karyawan melakukan 30 kali percobaan presensi. Absensi yang berhasil memiliki nilai keberhasilan 87% dan 13% gagal dari total percobaan 390 kali. Beberapa absensi yang gagal terjadi karena ada beberapa faktor yang dapat mempengaruhi absensi seperti pencahayaan yang tinggi, posisi kepala yang mendongkak dan penggunaan atribut (topi, kacamata, dsb).Kata Kunci : Presensi, Pengenalan Wajah, Algoritma Haar Cascade Classifier 
APLIKASI ENKRIPSI DAN DEKRIPSI FILE DENGAN MENGGUNAKAN AES (ADVANCED ENCRYPTION STANDARD) ALGORITMA RIJNDAEL PADA SISTEM OPERASI ANDROID Langit Da Silva; Dessyanto B. P; Heriyanto Heriyanto
Telematika Vol 10, No 1 (2013): Juli 2013
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v10i1.383

Abstract

Rijndael algorithm is an algorithm that won the contest organized by NIST to replace DES algorithm known weaknesses . After winning the contest Rijndael algorithm , Rijndael lagoitma then serve as the AES ( Advanced Encryption Standard ) . This algorithm has been widely used in the encryption problem both for text , files , and databases . While Android is an open source operating system developed by Google . Currently Android operating system has become the operating system most widely used on smartphoanes . Smartphones now prevalent and had also been owned by many people because of its reliability. In this final project has been able to be made to solve the problem of software security file on the device that uses the Android operating system using AES ( Advanced Encryption Standard ) Rijndael algorithm . The method used in the design and manufacture of this software is the method GRAPPLE ( Guideliness for Rapid Application Engineering ) . The programming language used is Java . In the application can generate an encrypted file that can not be opened . To open the file , then the application can perform the decryption process . The parameters used in the analysis of this algorithm when used for encryption and decryption .
Pertimbangan Pembelian Oleh-oleh Pada Rute Perjalananan Wisatawan Menggunakan Technique for Others Preference by Similarity to Ideal Solution (TOPSIS) Oliver Samuel Simanjuntak; Budi Santosa; Muhammad Bagus Prasetyo
Telematika Vol 14, No 1 (2017): Edisi April 2017
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v14i01.1966

Abstract

Era modernisasi membawa dampak terhadap kebutuhan masyarakat, yaitu kebutuhan masyarakat melaksanakan pekerjaannya secara cepat dan mudah. Pada khususnya wisatawan, wisatawan yang mengunjungi suatu wilayah berkeinginan cepat dan mudah dalam pencarian oleh-oleh. Dalam pencarian oleh-oleh, wisatawan mengalami kendala dalam penentuan lokasi toko dan oleh-oleh Wisatawan harus mencari toko oleh-oleh secara manual. Aplikasi mobile merupakan salah satu solusi dalam pencarian informasi yang sering digunakan, karena aplikasi mobile dapat berguna dimanapun berada dan kapanpun waktunya. Tersedianya aplikasi mobile  juga sering dimanfaatkan masyarakat untuk mencari lokasi suatu tempat atau tujuan menggunakan Maps. Selain itu seiring dengan perkembangan teknologi, sekarang aplikasi mobile juga di manfaatkan dalam proses jual-beli secara online. Hal ini memberikan kemudahan bagi masyarakat dalam membantu, serta menyelesaikan pekerjaannya secara tepat, dan praktis. Aplikasi berbasis Android ini dibangun menggunakan bahasa pemprograman java dengan memanfaatkan metode TOPSIS (Technique For Others Preference by Similarity to Ideal Solution) untuk memberikan pertimbangan kepada pengguna, serta memanfaatkan GoogleMaps API. Dengan aplikasi ini para wisatawan dapat menemukan toko oleh-oleh dan oleh-oleh secara bersamaan berdasarkan rute perjalanan. Selain itu, aplikasi ini,memberikan keuntungan kepada para pemilik toko oleh-oleh untuk menjual oleh-oleh secara online. Serta beberapa fitur yang menunjang proses jual-beli.
SISTEM PAKAR DIAGNOSA PENYAKIT AYAM MENGGUNAKAN PERINTAH SUARA Bambang Yuwono
Telematika Vol 7, No 2 (2011): Edisi Januari 2011
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v7i2.417

Abstract

This research was conducted based on the need for a tool for farmers and extension workers in diagnosing the disease in chickens. The tools in the form of an expert system which in addition to diagnosis is also able to provide medical advice. This expert system in the consultation can be run using voice commands to answer every question with a yes or no vote. The process of speech recognition using SAPI (Speech Application Programming Interface) is a tool that is used to process the analog sound is then converted to text. Inference method used is backward chaining with the model of Depth First Search. The output of this system in the form of the name of the disease and treatment suggestions.

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