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All Journal International Journal of Electrical and Computer Engineering International Journal of Evaluation and Research in Education (IJERE) Journal of Food and Pharmaceutical Science Dinamik Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Transmisi: Jurnal Ilmiah Teknik Elektro JURNAL SISTEM INFORMASI BISNIS Voteteknika (Vocational Teknik Elektronika dan Informatika) JTEV (Jurnal Teknik Elektro dan Vokasional ELKHA : Jurnal Teknik Elektro Jurnal Sistem Komputer TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Jurnal Informatika Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Kursor Jurnal Algoritma Jurnal Teknologi Telematika : Jurnal Informatika dan Teknologi Informasi Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Edukasi dan Penelitian Informatika (JEPIN) JUITA : Jurnal Informatika International Journal of Advances in Intelligent Informatics Scientific Journal of Informatics Seminar Nasional Informatika (SEMNASIF) Komunikator ICON-CSE CESS (Journal of Computer Engineering, System and Science) Proceeding SENDI_U Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Register: Jurnal Ilmiah Teknologi Sistem Informasi ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JURNAL NASIONAL TEKNIK ELEKTRO KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Bulletin of Electrical Engineering and Informatics JOIN (Jurnal Online Informatika) Journal of Electrical Technology UMY Format : Jurnal Imiah Teknik Informatika Jurnal Teknologi dan Sistem Komputer Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research Journal of Information Technology and Computer Science (JOINTECS) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi JIKO (Jurnal Informatika dan Komputer) Bina Insani ICT Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control CogITo Smart Journal IT JOURNAL RESEARCH AND DEVELOPMENT Jurnal Sains dan Informatika Insect (Informatics and Security) : Jurnal Teknik Informatika JRST (Jurnal Riset Sains dan Teknologi) JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL REKAYASA TEKNOLOGI INFORMASI JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JURNAL INSTEK (Informatika Sains dan Teknologi) ILKOM Jurnal Ilmiah Compiler KACANEGARA Jurnal Pengabdian pada Masyarakat Jiko (Jurnal Informatika dan komputer) Journal of Science and Engineering MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JSiI (Jurnal Sistem Informasi) CYBERNETICS Krea-TIF: Jurnal Teknik Informatika J-SAKTI (Jurnal Sains Komputer dan Informatika) JURIKOM (Jurnal Riset Komputer) Jurnal Teknik Elektro dan Komputer TRIAC RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer) Jurnal Ilmiah Mandala Education (JIME) JSI (Jurnal sistem Informasi) Universitas Suryadarma Systemic: Information System and Informatics Journal Jurnal Pengabdian Kepada Masyarakat MEMBANGUN NEGERI Jurnal Mantik JISKa (Jurnal Informatika Sunan Kalijaga) Journal of Electronics, Electromedical Engineering, and Medical Informatics Buletin Ilmiah Sarjana Teknik Elektro RADIAL: JuRnal PerADaban SaIns RekAyasan dan TeknoLogi Mobile and Forensics Jurnal Informatika dan Rekayasa Perangkat Lunak Journal of Robotics and Control (JRC) Journal of Applied Engineering and Technological Science (JAETS) Jurnal Riset Rekayasa Elektro Jurnal Repositor Respati Indonesian Journal of Electrical Engineering and Computer Science Journal of Computer System and Informatics (JoSYC) International Journal of Advances in Data and Information Systems Journal of Innovation Information Technology and Application (JINITA) Reswara: Jurnal Pengabdian Kepada Masyarakat Infotech: Journal of Technology Information SKANIKA: Sistem Komputer dan Teknik Informatika Innovation in Research of Informatics (INNOVATICS) Jurnal Teknik Informatika (JUTIF) JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Jurnal Computer Science and Information Technology (CoSciTech) Journal Social Science And Technology For Community Service Jumat Informatika: Jurnal Pengabdian Masyarakat Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) J-SAKTI (Jurnal Sains Komputer dan Informatika) Decode: Jurnal Pendidikan Teknologi Informasi Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Algoritma Techno Jurnal Pengabdian Pada Masyarakat Amal Ilmiah: Jurnal Pengabdian Kepada Masyarakat SmartComp Journal of Food and Pharmaceutical Sciences Jurnal Informatika: Jurnal Pengembangan IT Control Systems and Optimization Letters Emitor: Jurnal Teknik Elektro Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health Signal and Image Processing Letters Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) RADIAL: Jurnal Peradaban Sains, Rekayasa dan Teknologi Scientific Journal of Engineering Research Dedikasi Nusantara
Anton Yudhana
Universitas Ahmad Dahlan, Yogyakarta
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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Recognizing Micro Expression Pattern Using Convolutional Neural Networks (CNN) Method During Emotion Regulation Training for Parents in The Pandemic Era Intan Puspitasari; Anton Yudhana; Dewi Eko Wati; Syahid Al Irfan
Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health Vol. 3 No. 2 (2023): Proceeding of The International Conference of Inovation, Science, Technology, E
Publisher : Program Studi DIII Rekam Medis dan Informasi Kesehatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/icistech.v3i2.68

Abstract

During this pandemic, most of people’s activities are carried out through digital media. Both learning and working processes are using the video-conference platform, a platform deemed effective to facilitate the needs of distance communication. One of the limitations of using video-conference lies in difficulty in understanding emotional conditions based on solely camera video. Hence, speakers generally do not know their interlocutors’ feelings related to the materials being presented. Grounded on this issue, we examined a facial expressions-based emotion recognition tool. Micro expression is one of the micro-languages of communication. Machine learning model developed in this study was Deep Learning with Convolutional Neural Network (CNN). The library that was used was Keras, this was used to recognize micro expression pattern. Additionally, OpenCV was also used for the general face recognition process. Both libraries were operated using Python programming language. The result of the micro expression test involving thirty participants detected three types of facial expression, namely joy, sadness, and anger expression. However, face recognition applied in the present study still needed some improvements, especially for anger and sadness expression. With regard to joy expression, 89% of the expression were recognized. Based on the recorded data, it is necessary to improve the recordings criteria to obtain a clearer expression.
Solvent Effects on Phytochemical Screening Test of Red Lemongrass (Cymbopogon nardus (L.) Rendl.) Extract and its Potential as Antidiabetic Agent Novitasari, Putri Rachma; Nuraisyah, Fatma; Prihatmadi, Farhan Adyaqsa; Nugroho, Agung Dwi; Yudhana, Anton; Akbar, Son Ali
Journal of Food and Pharmaceutical Sciences Vol 11, No 1 (2023): J.Food.Pharm.Sci
Publisher : Integrated Research and Testing Laboratory (LPPT) Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jfps.6310

Abstract

Phytochemical screening is a preliminary stage in phytochemical research which aims to provide an overview of class compounds contained in the plants. The solvents used in this study consisted of distillated water, methanol, and n-hexane solvent. The purpose of this study was to determine the secondary metabolites in Red Lemongrass (Cymbopogon nardus (L.) Rendl.) extract using different three solvents. Red Lemongrass extract was prepared by maceration method using distillated water, methanol, and n-hexane (10 gram: 100 mL) as solvents. Results of the extract were subjected to a phytochemical screening test consisting of flavonoids, alkaloids, saponins, tannins, and triterpenoids. The results of phytochemical screening showed that alkaloids, flavonoids, triterpenoids, and saponins were drawn attracted to the distillated water solvent. Meanwhile flavonoids and triterpenoids were drawn to methanol solvents. In addition, triterpenoids were drawn to n-hexane solvents. The best solvent on maceration results will be used as a reference for testing the ability of the extract as an antidiabetic agent.
Face Detection Analysis of Digital Photos Using Mean Filtering Method Sunardi, Sunardi; Yudhana, Anton; Wijaya, Setiawan Ardi
International Journal of Artificial Intelligence Research Vol 6, No 2 (2022): Desember 2022
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (467.748 KB) | DOI: 10.29099/ijair.v6i2.307

Abstract

Face detection in digital photos aims to get the face area in the digital photo. Usually, a lot of noise occurred when detecting faces in digital photos. This study applies the mean filtering method to improve digital photos by reducing noise. The accuracy of the mean filtering method is calculated using a confusion matrix, while the ability of this method is measured using the parameters of Mean Square Error (MSE) and Peak Noise to Signal Ratio (PNSR). Viola-Jones method was used to detect faces in this research. This method was chosen because it is one of the face detection procedures with high accuracy and good computational ability. Testing the mean filtering method obtained the lowest MSE of 9.33, while the highest PNSR of 14.37. The accuracy obtained by the mean filtering method using confusion is 90%. Based on these results, it can be concluded that the mean filtering method is feasible to be used in the case of face detection in digital photos.
Digital Forensic Process via Parallel Data Acquisition Technic: Experimental Case Study Sarjimin, Sarjimin; Yudhana, Anton
International Journal of Artificial Intelligence Research Vol 6, No 1 (2022): June 2022
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (745.703 KB) | DOI: 10.29099/ijair.v6i1.354

Abstract

Digital Forensics (DF) is an essential tool for solving cases of crimes committed. Based on the type of action performed, DF is classified into static forensics and live forensics. The limitations of static forensics in this method are that data collection is carried out on permanent storage media, while processes in the running system are not obtained. On the other hand, live forensics provides an opportunity to perform data retrieval on the ongoing process. Generally, live forensics is used to acquire Volatile Memory (RAM) data but can be extended on mobile devices, internet/LAN networks, and cloud systems. Browsing in private mode leaves no traces and information about what the user has done during the browsing session. This feature is often used by criminals to hide the crimes committed or at least to slow down the forensic process. To overcome this problem, it is important to do forensics on RAM and Network Forensics to obtain evidence of these crimes. This study aims to conduct DF to obtain potential evidence in criminal cases of misuse of private browsing. The evidence is expected to be used as evidence in court. The parties involved in the crime can be prosecuted in court through such evidence. This research offers Digital Forensics Process Via Parallel Data Acquisition Technic. Parallel data acquisition is a method for retrieving data on a computer or other smart device when the computer or other smart device is on through two different data sources. The first source is RAM and the second is Network Traffic. A case study on a criminal case of misuse of private browsing with Digital Forensics Process Via Parallel Data Acquisition Technic was able to obtain evidence in the form of the website visited, URL, traffic timestamp performed, source address, destination address, transmission protocol, length (size of the packet transmitted), source last node mac address, destination last node mac address, source port, destination port, and detail information. The evidence is expected to be used to reconstruct a crime of misuse of private browsing.
Implementasi Agile Method dalam Pengembangan Jurnal Elektronik di Lembaga Penelitian Non Pemerintahan (NGO) Murdiani, Deni; Yudhana, Anton; Sunardi, Sunardi
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 7 No 4: Agustus 2020
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2020741839

Abstract

Kebutuhan ketersedian pengelola jurnal nasional yang bereputasi semakin banyak. Terlebih lagi sejak diberlakukannya regulasi kewajiban publikasi bagi mahasiswa sebagai syarat kelulusan. Namun demikian, tidak semua penerbit jurnal dapat mengelola penerbitannya sesuai dengan standar yang telah ditentukan, salah satunya adalah jurnal-junal yang dikelola oleh lembaga penelitian non pemerintahan (NGO). Penelitian ini mengangkat tentang pengembangan jurnal elektronik berbasis Open Journal System (OJS) dengan metode Agile dan Scrum sebagai kerangka kerjanya. Scrum menawarkan pengembangan sistem yang lebih fleksibel dan mampu beradaptasi yang berbasis kolaborasi.  Hasil dari pengembangan ini diuji menggunakan usability systemdengan kuesioner USE (Usefulness, Satisfaction, and Ease of use). Adapun hasilnya, 69,64% respoden menyatakan bahwa sistem pengelolaan jurnal elektronik MAARIF cukup mudah digunakan, cukup mudah dipahami dan cukup mudah dipelajari. 21,42% responden menyatakan sangat mudah digunakan, sangat mudah dipahami dan sangat mudah dipelajari. Hanya 8,9% responden saja yang menyatakan bahwa system pengelolaan jurnal elektronik MAARIF kurang mudah digunakan, kurang mudah dipahami dan kurang mudah dipelajari. Dengan demikian pengembangan jurnal elektronik berbasis OJS versi 3 menggunakan kerangka kerja Scrum dapat diimplementasikan dengan baik menggunakan 3 sprint dengan durasi 34 hari. AbstractThe need for the availability of reputable national journal managers. Especially since the enactment of regulation on publication obligations for students as graduation requirements. However, not all journal publishers can manage their issuance in accordance with predetermined standards, one of which is a journal that is managed by a non-governmental research institute (NGO). This study raised the development of an Open Journal System (OJS) based electronic journal with the Agile and Scrum method as its framework. Scrum offers the development of systems that are more flexible and adaptable based on collaboration. The results of this development were tested using the usability system with a USE questionnaire (Usefulness, Satisfaction, and Ease of use). As for the results, 69.64% of respondents stated that the electronic journal MAARIF management system was quite easy to use, quite easy to understand and quite easy to learn. 21.42% of respondents said it was very easy to use, very easy to understand and very easy to learn. Only 8.9% of respondents stated that the electronic journal MAARIF management system was less easy to use, less easily understood and less easy to learn. Thus the development of OJS version 3 electronic journals using the Scrum framework can be implemented properly using 3 sprints with a duration of 34 days.
Analisis Keamanan Website Open Journal System Menggunakan Metode Vulnerability Assessment Riadi, Imam; Yudhana, Anton; W, Yunanri
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 7 No 4: Agustus 2020
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2020701928

Abstract

Open Journal System (OJS) merupakan perangkat lunak yang berfungsi sebagai sarana publikasi ilmiah dan digunakan diseluruh dunia. OJS yang tidak dipantau beresiko diserang oleh hacker.  Kerentanan yang di timbulkan oleh hacker akan berakibat buruk terhadap performa dari sebuah OJS.  Permasalahan yang dihadapi pada sistem OJS meliputi network, port discover, proses audit exploit sistem OJS. Proses audit sistem pada OJS mencakup SQL Injection, melewati firewall pembobolan password. Parameter input yang digunakan adalah IP address dan port open access. Metode yang digunakan adalah vulnerability assessment. Yang terdiri dari beberapa tahapan seperti information gathering atau footprinting, scanning vulnerability, reporting. Kegiatan ini bertujuan untuk mengidentifikasi celah keamanan pada website open journal system (OJS). Penelitian ini menggunakan open web application security project (OWASP). Pengujian yang telah dilakukan berhasil mengidentifikasi 70 kerentanan high, 1929 medium, 4050 low pada OJS, Total nilai vulnerability pada OJS yang di uji coba sebesar 6049. Hasil pengujian yang dilakukan menunjukkan bahwa pada OJS versi 2.4.7 memiliki banyak celah kerentanan atau vulnerability, tidak di rekomendasi untuk digunakan. Gunakanlah versi terbaru yang dikeluarkan oleh pihak OJS Public knowledge  project (PKP). AbstractThe Open Journal System (OJS) is A software that functions as a means of scientific publication and is used throughout the world. OJS that is not monitored is at risk of being attacked by hackers. Vulnerabilities caused by hackers will adversely affect the performance of an OJS. The problems faced by the OJS system include the network, port discover, OJS system audit exploit process. The system audit process on the OJS includes SQL Injection, bypassing the firewall breaking passwords. The input parameters used are the IP address and open access port. The method used is a vulnerability assessment. Which consists of several stages such as information gathering or footprinting, scanning vulnerability, reporting. This activity aims to identify security holes on the open journal system (OJS) website. This study uses an open web application security project (OWASP). Tests that have been carried out successfully identified 70 vulnerabilities high, 1929 medium, 4050 low in OJS, the total value of vulnerability in OJS which was tested was 6049. The results of tests conducted showed that in OJS version 2.4.7 had many vulnerabilities or vulnerabilities, not on recommendations for use. Use the latest version issued by the OJS Public Knowledge Project (PKP).
Analisis Perbandingan Metode Regresi Linier Dan Importance Performance Analysis (IPA) Terhadap Kepuasan Pengguna Pada Layanan E-Government Menggunakan Metode WebQual Modifikasi Septa, Frandika; Yudhana, Anton; Fadlil, Abdul
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 7 No 5: Oktober 2020
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2020752294

Abstract

Layanan excellent merupakan layanan yang mampu memberikan rasa kepuasan bagi penggunanya, sehingga menimbulkan loyalitas terhadap layanan yang digunakan. Layanan E-Government menjadi penting untuk dilakukan penilaian kualitas layanannya terhadap kepuasan pengguna, karena salah satu tujuan dikembangkannya E-Government adalah memberikan pelayanan yang maksimal kepada masyarakat. Penelitian ini bertujuan untuk menganalisis tingkat kualitas layanan E-Government dalam kasus ini website SIMSARPRAS berdasarkan persepsi pengguna dari website SIMSARPRAS, yaitu madrasah dan operator kementerian agama. Jumlah responden adalah 500 orang yang dikumpulkan dari hasil penyebarah kuesioner secara online menggunakan Google Formulir. Metode dalam penelitian ini menggunakan metode WebQual modifikasi sebagai indikator dalam penyusunan kuesioner secara online, dan metode analisa menggunakan regresi linier berganda dan importance performance analysis (IPA). Hasil kuesioner diolah dan dilakukan pengujian instrumen dengan uji validitas dan uji reliabilitas untuk menunjukkan bahwa kuesioner layak dijadikan sebagai bahan penelitian lebih lanjut untuk dilakukan analisis data. Hasil analisis data diklasifikasikan berdasarkan persentase kepuasan pengguna terhadap layanan webiste SIMSARPRAS dengan tiga klasifikasi, yaitu baik, sedang dan buruk. Hasil analisis data menggunakan regresi linier berganda menunjukkan bahwa website SIMSARPRAS berkualitas sedang, sedangkan dengan IPA website berkualitas baik. Hasil analisis data menggunakan regresi linier berganda diketahui bahwa variabel bebas mampu mempengaruhi kepuasan pengguna sebesar  67,6% dan 32,4% dipengaruhi oleh variabel lainnya, sedangkan hasil dari IPA tingkat kesesuaian sebesar 96,22% dan tingkat kesenjangan antara kinerja dan harapan dari layanan E-Government sebesar –0,12. Hasil dari penelitian ini memberikan kontribusi kepada kementerian agama khususnya sebagai pemilik website SIMSARPRAS untuk dijadikan sebagai bahan referensi dan evaluasi layanan SIMSARPRAS kedepannya. AbstractExcellent service is a service that provides a sense of satisfaction for its users, thereby giving rise to loyalty to the services used. E-Government services are important to do. E-Government services to user satisfaction, because one of the goals that E-Government is developing to provide maximum service to the community. This study analyzes the level of quality of E-Government services in this case the SIMSARPRAS website based on user perceptions from the SIMSARPRAS website, namely madrasah and operators of the ministry of religion. The number of respondents was 500 people collected from the results of a questionnaire search using Google Forms. The method in this study uses the WebQual modification method as an indicator in testing online questionnaires, and the analysis method uses multiple linear regression and performance analysis of interest (IPA). The results of the questionnaire were processed and tested by an instrument with a validity test and a reliability test to prove the questionnaire was worthy of being used as further research material for data analysis. The results of data analysis are based on the percentage of user satisfaction with the SIMSARPRAS website service with three classifications, namely good, moderate and bad. The results of data analysis using multiple linear regression showed a medium-quality SIMSARPRAS site, whereas with a good quality website IPA. The results of data analysis using multiple linear regression owned by independent variables can increase user satisfaction by 67.6% and 32.4% required by other variables, while the results of the IPA level of suitability are 96.22% and the level is in accordance with the results and expectations of the service E-Government is -0.12. The results of this study contribute to the special ministry of religion as the owner of the SIMSARPRAS website for use as a reference material and SIMSARPRAS service solutions going forward.
Identifikasi Emosi Manusia Berdasarkan Ucapan Menggunakan Metode Ekstraksi Ciri LPC dan Metode Euclidean Distance Helmiyah, Siti; Riadi, Imam; Umar, Rusydi; Hanif, Abdullah; Yudhana, Anton; Fadlil, Abdul
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 7 No 6: Desember 2020
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2020722693

Abstract

Ucapan merupakan sinyal yang memiliki kompleksitas tinggi terdiri dari berbagai informasi. Informasi yang dapat ditangkap dari ucapan dapat berupa pesan terhadap lawan bicara, pembicara, bahasa, bahkan emosi pembicara itu sendiri tanpa disadari oleh si pembicara. Speech Processing adalah cabang dari pemrosesan sinyal digital yang bertujuan untuk terwujudnya interaksi yang natural antar manusia dan mesin. Karakteristik emosional adalah fitur yang terdapat dalam ucapan yang membawa ciri-ciri dari emosi pembicara. Linear Predictive Coding (LPC) adalah sebuah metode untuk mengekstraksi ciri dalam pemrosesan sinyal. Penelitian ini, menggunakan LPC sebagai ekstraksi ciri dan Metode Euclidean Distance untuk identifikasi emosi berdasarkan ciri yang didapatkan dari LPC.  Penelitian ini menggunakan data emosi marah, sedih, bahagia, netral dan bosan. Data yang digunakan diambil dari Berlin Emo DB, dengan menggunakan tiga kalimat berbeda dan aktor yang berbeda juga. Penelitian ini menghasilkan akurasi pada emosi sedih 58,33%, emosi netral 50%, emosi marah 41,67%, emosi bahagia 8,33% dan untuk emosi bosan tidak dapat dikenali. Penggunaan Metode LPC sebagai ekstraksi ciri memberikan hasil yang kurang baik pada penelitian ini karena akurasi rata-rata hanya sebesar 31,67% untuk identifikasi semua emosi. Data suara yang digunakan dengan kalimat, aktor, umur dan aksen yang berbeda dapat mempengaruhi dalam pengenalan emosi, maka dari itu ekstraksi ciri dalam pengenalan pola ucapan emosi manusia sangat penting. Hasil akurasi pada penelitian ini masih sangat kecil dan dapat ditingkatkan dengan menggunakan ekstraksi ciri yang lain seperti prosidis, spektral, dan kualitas suara, penggunaan parameter max, min, mean, median, kurtosis dan skewenes. Selain itu penggunaan metode klasifikasi juga dapat mempengaruhi hasil pengenalan emosi. AbstractSpeech is a signal that has a high complexity consisting of various information. Information that can be captured from speech can be in the form of messages to interlocutor, the speaker, the language, even the speaker's emotions themselves without the speaker realizing it. Speech Processing is a branch of digital signal processing aimed at the realization of natural interactions between humans and machines. Emotional characteristics are features contained in the speech that carry the characteristics of the speaker's emotions. Linear Predictive Coding (LPC) is a method for extracting features in signal processing. This research uses LPC as a feature extraction and Euclidean Distance Method to identify emotions based on features obtained from LPC. This study uses data on emotions of anger, sadness, happiness, neutrality, and boredom. The data used was taken from Berlin Emo DB, using three different sentences and different actors. This research resulted in inaccuracy in sad emotions 58.33%, neutral emotions 50%, angry emotions 41.67%, happy emotions 8.33% and bored emotions could not be recognized. The use of the LPC method as feature extraction gave unfavorable results in this study because the average accuracy was only 31.67% for the identification of all emotions. Voice data used with different sentences, actors, ages, and accents can influence the recognition of emotions, therefore the extraction of features in the recognition of speech patterns of human emotions is very important. Accuracy results in this study are still very small and can be improved by using other feature extractions such as provides, spectral, and sound quality, using parameters max, min, mean, median, kurtosis, and skewness. Besides the use of classification methods can also affect the results of emotional recognition. 
Analisis Perbandingan Algoritma Djikstra, A-Star, dan Floyd Warshall dalam Pencarian Rute Terdekat pada Objek Wisata Kabupaten Dompu Umar, Rusydi; Yudhana, Anton; Prayudi, Andi
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 8 No 2: April 2021
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.0812866

Abstract

Diera industri 4.0, penggunaan peta tidak lagi berbentuk lembaran ataupun buku. Kini terdapat sebuah layananan peta digital yaitu platform Leafleat.js, yang memudahkan penggunanya untuk mendapatkan informasi rute dari objek ke objek lainnya dan mencari lokasi hampir diseluruh dunia. Pada penelitian ini menggunakan objek yang real yaitu menampilkan lokasi sebenarnya menggunakan platform Leaflet.js dan parameter yang berbeda, dari hal tersebut penelitian ini akan membandingkan kinerja dari Algoritma Dijkstra, A* dan Floyd Warshall untuk menentukan waktu proses pencarian rute terdekat dari objek wisata ke objek wisata lain menggunakan bahasa pemograman PHP. Hasil pengujian program didapatkan jarak dan rute yang sama serta rata-rata waktu proses program yang berbeda. Waktu proses algoritma Dijkstra sebesar 0,0060 detik, algoritma A* sebesar 0,0067 dan algoritma Floyd Warshall sebesar 0,0433 detik. Berdasarkan hasil tersebut bahwa algoritma  Dijkstra lebih unggul dalam proses pencarian rute. AbstractIn the industrial era 4.0, the use of maps is no longer made of book sheets. Now a digital map service is available, the Leafleat.js platform, which provides users to get route information from other attractions and find locations that have been saved by the world. In this study using real objects that display the actual location using the Leaflet.js platform and different parameters, from this study will compare the performance of the Dijkstra, A * and Floyd Warshall Algorithms for the process of finding other tourist information using the PHP programming language. The results of testing the program obtained the same distance and route with different program processing time. Dijkstra algorithm processing time is 0.0060 seconds, A* algorithm is 0.0067 and Floyd Warshall algorithm is 0.0433 seconds. Based on these results, Dijkstra is superior in the route search process.
Penentuan Guru Berprestasi Menggunakan Metode Analytical Hierarchy Process (AHP) dan VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) Hanif, Kharis Hudaiby; Yudhana, Anton; Fadlil, Abdul
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 9 No 6: Desember 2022
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2022934628

Abstract

Guru merupakan bagian penting dalam memajukan suatu bangsa, karena guru dapat membimbing generasi penerus bangsa. Oleh karena itu penilaian guru berprestasi dibutuhkan untuk menciptakan generasi penerus bangsa yang baik. Penelitian AHP dan VIKOR bertujuan menghasilkan alternatif guru berprestasi di SMA N 2 Purbalingga. Metode AHP digunakan karena  mempunyai kelebihan dalam pembobotan setiap kriteria yang tidak dimiliki oleh VIKOR, metode VIKOR digunakan untuk perangkingan alternatif guru berprestasi. Tahapan-tahapan penelitian yaitu pengumpulan data, menentukan bobot kriteria, metode AHP, metode VIKOR, perhitungan manual dan sistem. Kriteria yang digunakan ada empat kriteria yaitu pedagogik, kepribadian, sosial, dan profesional. Nilai setiap kriteria akan diproses menggunakan metode AHP untuk mendapatkan bobot kriteria. Bobot kriteria selanjutnya dihitung menggunakan  metode VIKOR untuk mendapatkan alternatif guru berprestasi. Hasil perhitungan bobot prioritas kriteria dengan metode AHP dari kriteria pedagogik sampai profesional adalah 0,2236; 0,4187; 0,1162; 0,2414. Nilai-nilai tersebut merupakan nilai bobot kriteria yang akan digunakan untuk metode VIKOR. Bobot kriteria digunakan bersama dengan hasil dari pengisian kuesioner dalam VIKOR dengan data alternatif guru berprestasi untuk mendapatkan alternatif guru berprestasi. Metode AHP dan VIKOR diuji kebenarannya agar bobot dan perangkingan dapat dinyatakan benar. Hasil pengujian menggunakan black box didapatkan persentase 100%, oleh karena itu penelitian SPK dapat dinyatakan sesuai dan hasil perangkingan dapat menyelesaikan masalah yang ada di SMA N 2 Purbalingga. AbstractTeachers are an important part of advancing a nation, because teachers can guide the nation's future generations. Therefore, the assessment of outstanding teachers is needed to create a good future generation of the nation. AHP and VIKOR research aims to produce an alternative for outstanding teachers at SMA N 2 Purbalingga. The AHP method is used because it has advantages in weighting each criterion that VIKOR does not have, the VIKOR method is used for alternative ranking of outstanding teachers. The stages of the research are data collection, determining the criteria weights, the AHP method, the VIKOR method, manual and system calculations. There are four criteria used, namely pedagogic, personality, social, and professional. The value of each criterion will be processed using the AHP method to obtain the weight of the criteria. The weight of the criteria is then calculated using the VIKOR method to obtain an alternative for outstanding teachers. The results of the calculation of the criteria priority weight using the AHP method from pedagogic to professional criteria are 0.2236; 0.4187; 0.1162; 0.2414. These values are the criteria weight values that will be used for the VIKOR method. The weights of the criteria are used together with the results of filling out the questionnaire in VIKOR with alternative data for outstanding teachers to get alternatives for outstanding teachers. The AHP and VIKOR methods are tested for accuracy so that the weight and ranking can be declared correct. The results of the test using a black box obtained a percentage of 100%, therefore the SPK research can be declared appropriate and the ranking results can solve the problems that exist in SMA N 2 Purbalingga. 
Co-Authors Aang Anwarudin Abd. Rasyid Syamsuri Abdel-Nasser Sharkawy Abdillah, Muhamad Aznar Abdul Azis Abdul Djalil Djayali Abdul Fadil Abdul Fadil Abdul Fadlil Abdul Fadlil Abe, Tuska Ade Firli Ansyori Adi Permadi Agung Dwi Nugroho, Agung Dwi Agus Jaka Sri Hartanta Ahmad Azhar Kadim Ahmad Ikrom Ahmad Ikrom Ahmad Syahril Mohd Nawi Ahmadi, Ahwan Akhwandi, Dasef AKRIMA, ASRA Alameka, Faza Alameka, Faza alders paliling Aldi Bastiatul Fawait Fawait Alfian Ma’arif Alin Khaliduzzaman Aminuyati Andhy Sulistyo Andiko Putro Suryotomo Andri Pranolo Anggara Ibnu Sidharta Annafii, Moch. Nasheh Anom Wahyu Asmorojati Anshori, Ikhwan Anton Satria Prabuwono Anton Satria Prabuwono Anwar Siswanto Anwarudin, Aang Ardiansyah, Ricy Arief Setyo Nugroho Aris Rakhmadi Ashari, Irvan Asno Azzawagama Firdaus Asra Akrima Astika AyuningTyas, Astika Aznar Abdillah, Muhamad Azrul Mahfurdz Bahagiya, Multika Untung Balza Achmad Basri, Mhd. Bella Okta Sari Miranda Belly Apriansyah Bintang, Rauhulloh Noor budi putra Budi Setianto, Arif Bulaka, Bardan Cahya Subrata, Arsyad Choirul Fajri Darso, Muhammad Daryono Daryono Dasef Akhwandi Deni Murdiani Denny Yoga Pratama Dewi Eko Wati Dian Nova Kusuma Hardani Didi Siprian Drezewski, Rafal Dwi Susanto Dwi Susanto Dwi Susanto Dzakarasma Tazakka Ma’arij Edi Ismanto Eka Rahmat B Eko Prianto Eko Prianto Elvina, Ade Fadil, Abdul Fadlil, Abdul Fadlillah Mukti Ayudewi Fahmi, Miftahuddin Fahrizal Djohar Fakhri, La Jupriadi Fathoni, Listya Febri Fatma Nuraisyah, Fatma Faza Alameka Faza Alameka Febryansah, M. Iqbal Fitrah Juliansyah Fitri Anggraini Fitri Anggraini, Fitri Fitriyanto, Rachmad Furizal Furizal Furizal Furizal, Furizal Galih Pramuja Inngam Fanani H, Hermansa Habibah, Nurina Umy Habsah Hasan Hadi Sasongko, Hadi Halil, Nur Ihsan Hanif, Abdullah Hanif, Kharis Hudaiby Hartanta, Agus Jaka Sri Hartono, Susilo Helmiyah, Siti Herman Herman Herman Herman Herman Herman Yuliansyah Herman Yuliansyah, Herman Hermansa Herwindo Rahadian Hidayat, Lalu Amam Hikmatyar Insani Himawan I Azmi Igo Putra Pratama Iif Alfiatul Mukaromah Ikhsan Sugianto Ikhsan Zuhriyanto Ikhsan Zuhriyanto Ikhsan Zuhriyanto Ikhwan Anshori Ikrom, Ahmad Ilham Mufandi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Intan Puspitasari Irfan, Syahid Al Irwansyah Irwansyah Ivan Triyatno Jafri Din Jaka Dernata Jaka Dernata Jaka Japkowicz, Nathalie Jendri Juliansyah, Fitrah Kalbuadi, Dimas Baskoro Kartika Firdausy Kaspul Anwar Kaswijanti, Wilis Kawarul Hawari Ghazali Kgs Muhammad Rizky Alditra Utama Kgs Muhammad Rizky Alditra Utama Khaliduzzaman, Alin Khalif, Fajar Al Khoir, Syaiful Amrial Khoirul Anam Dahlan Kintung Prayitno, Kintung Kitagawa, Kodai Kurniawan, Gusti Chandra Kusuma , Damar Yoga Listya Febri Fathoni Liya Yusrina Sabila Luh Putu Ratna Sundari Lutfatul Kholifah M Rosyidi Djou M Rosyidi Djou M. Rosyidi Djou Mahsun Mahsun Mardi Sugama Marlina Mustafa, Marlina Maulana, Irvan Mawadati, Siti Mawarni, Syifa’ah Setya Mega Reski4, Julia Miftahuddin Fahmi Miftahus Surur, Miftahus Miko Wardani Mitra Adhimukti Moch. Nasheh Annafii Muchamad Kurniawan Muchlas Muchlas Muchlas Muchlas, Muchlas Mudinillah, Adam Muflih, Ghufron Zaida Muh. Fadli Hasa Muhamad Caesar Febriansyah Putra Muhamad Caesar Febriansyah Putra, Muhamad Caesar Febriansyah Muhamad Fahrul Reza Muhamad Rosidin Muhammad Aris Fajar Ilmawan Muhammad Darso Muhammad Irfan Pure Muhammad Jundullah Muhammad Kunta Biddinika Muhammad Kunta Biddinika Muhammad Miftahul Amri Muhammad Noor Fadillah Muhammad Noor Fadillah Muhammad Nur Faiz Muhammad Nur Faiz Muhammad Rizki Setyawan Muhammad Sabiq Dzakwan Muhammad Sabiq Dzakwan Muhammad, Khairul Muis, Alwas Mukaromah, Iif Alfiatul Murinto Murinto Mushab Al Barra Mushlihudin Mushlihudin Mushlihudin Mushlihudin Mushlihudin, Mushlihudin Mushlihudin, Mushlihudin Musliman, Anwar Siswanto Nathalie Japkowicz Novitasari, Putri Rachma Nuraeni, Eneng Nuryana, Zalik Nuryono Satya Widodo Ockhy Jey Fhiter Wassalam Peryanto, Ari Prasongko, Riski Yudhi Pratama, Denny Yoga Pratama, Genta Pratama, Gilang Ariya PRATAMA, IGO PUTRA prayudi, Andi Prianto, Eko Prihatmadi, Farhan Adyaqsa Priyatno Priyatno Putra, Aji Surya Kurniawan Putra, Marta Dwi Darma Putra, Satriya Dwi Putra, Seno Aji Putri, Dadva Pramesty Etsria Rachmad Fitriyanto Rachmad Very Ananda Saputra Raden Mohamad Herdian Bhakti Rafal Drezewski Rahmawan, Jihad Raja Bidin Raja Hassan Ramadhani, Muhammad Ramdhani, Rezki Rani Rotul Muhima Rauhulloh Ayatulloh Khomeini Noor Bintang Renangga Yudianto Reski, Julia Mega Resmi Aini Retnosyari Septiyani Reza, Muhamad Fahrul Rezki Ramdhani Rio Subandi Riski Prasongko Yudhi Prasongko Riski Yudhi Prasongko Rizky Andhika Surya Rosyady, Phisca Aditya Ruly Erwin AfanDika Rumagia, Yusril Rusdi Umar Rusydi Umar Rusydi Umar Rusydi Umar Rusydi Umar S, Sunardi Sabarudin Saputra Saberi Mawi Sabila, Liya Yusrina Safiq Rosad Sahta, Bobo Saifullah, Shoffan Samadri Samadri Saputra, Candra Deska Saputra, I Gede Purwana Edi saputro, tahap Sarjimin Sarjimin Sarjimin, Sarjimin Satriya Dwi Putra Sefindra Purnama Seno Aji Putra Septa, Frandika Septiyani, Retnosyari Septiyawan Rosetya Wardhana Sharipah Salwa Mohamed Shoffan Saifullah Sidharta, Anggara Ibnu Sidiq, Ahmad Fajar Sigit Wijaya Silmina, Esi Putri Siswaya Siswaya Siswaya, Siswaya Siti Hajar Siti Helmiyah Siti Helmiyah Son Ali Akbar sri suharti Sri Suharti Subandi, Rio Sulistyo, Andhy Sunardi Sunardi - Sunardi - Sunardi Sunardi sunardi sunardi Sunardi, Sunardi Suwanti Suwanti Suyadi Suyadi Syahid Al Irfan Syahrani Lonang Syed Abdullah Syinta Brata Tarisno Amijoyo Tiara Widyakunthaningrum Tole Sutikno Tri Wahono Tugiman Tugiman Umar, Rusydi Ummi Syafiqoh Ummi Syafiqoh Utama, Kgs Muhammad Rizky Alditra Utama, Kiagus Muhammad Rizky Aditra W, Yunanri Wahidah Mahanani Rahayu Wahyu Prawoto Wahyu Sapto Aji Wardani, Miko Wicaksono Yuli Sulistyo Wicaksono Yuli Sulistyo Widhianto, Trisno Wijaya, Setiawan Ardi Wilis Kaswijanti Windra Putri, Anggi Rizky Wintolo, Hero Yudianto, Renangga Zeehaida Mohamed