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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Techne : Jurnal Ilmiah Elektroteknika Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Banu Wirawan Yohanes
Universitas Kristen Satya Wacana
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Pendeteksi Error dengan CRC32 dan Cek Integritas dengan SHA256 pada Aplikasi Pengunduh dan Transfer File Bagus P. S. Hutomo; Hartanto Kusuma Wardana; Banu Wirawan Yohanes
Techné : Jurnal Ilmiah Elektroteknika Vol. 17 No. 02 (2018)
Publisher : Fakultas Teknik Elektronika dan Komputer Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (637.209 KB) | DOI: 10.31358/techne.v17i02.178

Abstract

Seiring file yang diunduh dari Internet, maka dibutuhkan pengunduh yang dapat melakukan deteksi error dan cek integritas data secara otomatis setelah proses unduh selesai. Selain file unduh, pengecekan integritas juga dilakukan setelah proses transfer file pada jaringan lokal. Hal ini diperlukan untuk memastikan keutuhan dan integritas file yang diunduh maupun ditransfer. Pengecekan keutuhan dan integritas dilakukan dengan mengecek CRC32 dan SHA256 dari file yang diunduh maupun ditransfer. Hasil pengujian menunjukkan file yang tidak diubah dan file yang diubah menghasilkan nilai CRC32 dan SHA256 yang berbeda, sehingga pengecekan CRC32 dan SHA256 dapat digunakan untuk memastikan keutuhan dan integritas file.
Images Similarity based on Bags of SIFT Descriptor and K-Means Clustering Banu Wirawan Yohanes
Techné : Jurnal Ilmiah Elektroteknika Vol. 18 No. 2 (2019)
Publisher : Fakultas Teknik Elektronika dan Komputer Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1043.738 KB) | DOI: 10.31358/techne.v18i02.217

Abstract

The content based image retrieval is developed and receives many attention from computer vision, supported by the ubiquity of Internet and digital devices. Bag-of-words method from text-based image retrieval trains images’ local features to build visual vocabulary. These visual words are used to represent local features, then quantized before clustering into number of bags. Here, the scale invariant feature transform descriptor is used as local features of images that will be compared each other to find their similarity. It is robust to clutter and partial visibility compared to global feature. The main goal of this research is to build and use a vocabolary to measure image similarity accross two tiny image datasets. K-means clustering algorithm is used to find the centroid of each cluster at different k values. From experiment results, the bag-of-keypoints method has potential to be implemented in the content based information retrieval.
Multimedia Vehicular Smartphone Docking with GPS Tracking Feliks Wida Satyamarda; Novembri Priyadmaji Widi Nugroho; Banu Wirawan Yohanes
Techné : Jurnal Ilmiah Elektroteknika Vol. 20 No. 1 (2021)
Publisher : Fakultas Teknik Elektronika dan Komputer Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31358/techne.v20i1.255

Abstract

The Internet of Things (IoT) connecting many electronic devices via internet has been ubiquitous in the last decade. For instance, electric or hybrid cars and autonomous vehicles which are supported by many automotive and IT companies. IoT does not only provide internal monitoring service of the devices, but also the environmental situation. Meanwhile, smartphones are equipped with embedded built-in sensors, and also providing wireless communications. In consequence, vehicular telematics based on smartphone is growing rapidly. This paper proposes a vehicular smartphone docking prototype. It aims not only to provide an affordable alternative to Android Auto and CarPlay, but also to complement them, particularly in vision and security cases. The main issue is that the driver should not be distracted while driving. Such distraction may cause road accident which can lead to severe injuries and even death. Therefore, it is important to design a vehicle smartphone docking to guarantee distraction avoidance and to provide multimedia and localization services. This vehicular smartphone docking architecture consists of an Android smartphone and a Raspberry Pi. Several test drives were conducted with perfect results. Based on the experiment results, this system is able to reduce the number of modules required within a smart vehicle.
Sistem Pemeriksa Pola Kalimat Bahasa Indonesia berbasis Algoritme Left-Corner Parsing dengan Stemming Hartanto Kusuma Wardana; Iswara Swanita; Banu Wirawan Yohanes
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 8 No 3: Agustus 2019
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (957.221 KB)

Abstract

In recent years, human computer interaction has been attracted many researchers and applied in various applications. In order to understand human language, the computer is required to learn human language grammar, one of the languages is Bahasa Indonesia. Left-corner parsing algorithm is used extensively to check English grammar. However, only several implementations are found in Bahasa Indonesia. By combining Left-Corner Parsing algorithm with stemming algorithm, to reproduce basic word and word type before the sentence is parsed according to production rules defined, this article discusses Bahasa Indonesia sentence pattern checking system testing for four single sentence patterns, i.e., Subject-Predicate, SP-Object, SP-Adverb, and SPOA. The testing resultshows the accuracy of sentence pattern recognition of 95.3%.
Sistem Penerjemah Bahasa Jawa-Aksara Jawa Berbasis Finite State Automata Banu Wirawan Yohanes; Teofilus Robert; Saptadi Nugroho
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 6 No 2: Mei 2017
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1157.215 KB)

Abstract

Current Javanese script translators still have many shortcomings, both in completeness and procedure for their script writing. These are caused by the difficulty of applying the rules of writing in translating Javanese script. This paper proposes a hyphenated method for Javanese words into syllables using finite state automata. The Javanese to Javanese script and vice versa translator web application development was implemented using Unicode standard Javanese script based on Graphite feature. Translator testing was carried out by teachers who have Javanese expertise. The test results indicate that the translator is able to translate in most cases, which are 92% for the translation of Javanese to Javanese script and 93.8% for the translation of Javanese script to Javanese.
Co-Authors Bagus P. S. Hutomo Darmawan Utomo Fandy Oktavianus Suryanputra Feliks Wida Satyamarda Handianto, Liauw Frediczen Handoko Handoko Hartanto Kusuma Wardana Iswara Swanita Jati Kristianto Jehoshua Hanky Pratama Novembri Priyadmaji Widi Nugroho Robert, Teofilus Samuel Aditya Utomo Saptadi Nugroho Swanita, Iswara Teofilus Robert Wisnu Jati Rogo Juni Xiaohua Zhou Yosua John Muskitta