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All Journal JURNAL BISNIS STRATEGI TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Jurnal sistem informasi, Teknologi informasi dan komputer Jurnal Inovasi Teknologi Pendidikan Jurnal Edukasi dan Penelitian Informatika (JEPIN) POROS TEKNIK Journal of Animation & Games Studies Proceeding of the Electrical Engineering Computer Science and Informatics JOIN (Jurnal Online Informatika) JOIV : International Journal on Informatics Visualization Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control SINTECH (Science and Information Technology) Journal Jurnal ULTIMATICS CYBERNETICS Jurnal Keperawatan dan Fisioterapi (JKF) Jurnal Repositor Jurnal Perempuan & Anak Joutica : Journal of Informatic Unisla JURNAL INOVASI DAN PENGABDIAN MASYARAKAT INDONESIA Makara Journal of Technology JGGAG (Journal of Games, Game Art, and Gamification)
Hardianto Wibowo
Universitas Muhammadiyah Malang
Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Public Health Social Sciences Other

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Deteksi Gerak Otot Frontalis Berbasis Citra 3 Dimensi Menggunakan Gray Level Co-Occurrence Matrix (GLCM) Wibowo, Hardianto; Hery Purnomo, Mauridhi; Mulyanto Yuniarno, Eko
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 1, No 2, August-2016
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (707.04 KB) | DOI: 10.22219/kinetik.v1i2.25

Abstract

Ekspresi wajah atau mimik merupakan salah satu dari hasil gerak otot pada wajah. Dalam kamus besar bahasa Indonesia, ekspresi merupakan pengungkapan atau proses menyatakan, yaitu memperlihatkan atau menyatakan maksud, gagasan perasaan dan lain sebagainya. Ekspresi wajah atau mimik dipengaruhi oleh saraf tujuh atau nervuse facialis. Dalam penelitian yang dilakukan paul ekman didapat sebuah standarisasi ekspresi dalam format pergerakkan yang disebut dengan Facial Action Coding System (FACS). Dalam penelitiannya paul ekman menyatakan enam ekspresi dasar yaitu bahagia, sedih, terkejut, takut, marah dan jijik. Dalam anatomy otot, bahwa setiap otot yang bergerak pasti terjadi kontraksi, dan pada saat terjadi kontraksi, otot akan mengembang atau mengelembung. Otot dibagai menjadi tiga bagian yaitu origo dan insersio sebagai ujung otot dan belly sebagai titik tengah otot, jadi setiap terjadi gerakkan maka otot bagian beli akan mengembang atau menggelembung. Teknik pengambilan data yaitu dengan merekam data dalam bentuk 3D, setiap terjadi kontraksi maka otot bagian beli akan mengelembung dan data inilah yang akan diolah dan dibandingkan. Dari pengolahan data ini akan didapat kekuatan maksimum kontraksi yang akan dipakai sebagai acuan untuk besaran pergeseran otot khususnya pada otot frontalis. Dalam deteksi pergerakkan akan menggunakan metode gray level co-occurrence matrix (GLCM), dan akan didapatkan pula besaran pergeseran otot secara maksimal. Dari hasil pengujian didapatkan nilai pergeseran pergerakkan otot sebesar 1,367 4,460.
Gamification And GDLC (Game Development Life Cycle) Application For Designing The Sumbawa Folklore Game ”The Legend Of Tanjung Menangis (Crying Cape)” Husniah, Lailatul; Pratama, Bayu Fajar; Wibowo, Hardianto
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 3, No 4, November 2018
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (679.726 KB) | DOI: 10.22219/kinetik.v3i4.721

Abstract

Sumbawa is popularly known as one of the regions in Indonesia, having a well- known folklore among the Sumbawa people, entitled the legend of Tanjung Menangis (Crying Cape). However, Tanjung Menangis is commonly recognized for its beauty than the stories contained. Therefore, a research is carried out by developing a game that is employed as a tool to introduce the story of Tanjung Menangis Legend as effort to preserve the original story of the mainland Sumbawa. The media game is chosen due to its favoured technology by children and adolescent as the target users of this research. This study applies Game Development Life Cycle (GDLC) method in the development stage which consists of several stages includinng: pre-production, production, testing, and post-production by adding an element of gamification. The game is tested on students at Labangka Elementary School in Sumbawa district in an age range of 10-15 years. After playing the game, the majority of respondents states that students gain knowledge about the Legend of Tanjung Menangis as reported from the results of the t- test with a probability value of 7.369x10-41, which is far below the value of α = 0.05. This result means that there was an increase in user knowledge of application. The test results also showed that all respondents agreed that the game of The Legend of Tanjung Menangis was used as one of the media used to introduce the story of the original Sumbawa people. In addition, the testing results as conducted with playtesting and gameflow test achieved good grades, with a range of values 4.5-4.81 of the seven elements tested, including: Concentration, Challenge, Player Skills, Control, Clear Goals, Feedback, and Immersion.
GAME EDUKASI ROTI MOCAF BERBASIS ANDROID Cahyono, Eko Budi; Firmansyah, Tino; Suharso, Wildan; Wibowo, Hardianto
SINTECH (Science and Information Technology) Journal Vol 1 No 2 (2018): SINTECH Journal Edition Oktober 2018
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (832.512 KB) | DOI: 10.31598/sintechjournal.v1i2.303

Abstract

The understanding of the Indonesian people about the importance of abundant raw materials is very lacking, this is evidenced by the many understandings that mocaf (cassava flour) is a raw material that cannot be processed properly and attractively so that it does not become a trend. Indonesia is one of the countries producing cassava although cassava is not a staple food. People need to know and understand the extent to which cassava can be processed into cassava flour, and cassava flour into bread. This study designs and builds applications that are educational to provide understanding to the community, especially for school-age children, considering that the main education is when compulsory children are elementary, middle and high school. In this study the Game Development Life Cyle (GDLC) method is used which consists of the stages of initiation, pre production, production, testing. In this study playtesting evaluation was carried out for 20 respondents with a play time of 10-15 minutes, covering aspects of concentration in addition to functional testing. Concentration aspects are valued at 4,15.
ANALISIS KOINTEGRASI PASAR MODAL IN- DONESIA DENGAN PASAR MODAL AMERIKA SERIKAT DAN PASAR MODAL EROPA MENGGUNAKAN PENDEKATAN JOHANSEN COINTEGRATION TEST (Studi Kasus pada saat terjadi Krisis Ekonomi di Amerika Serikat dan Eropa tahun 2008 - 2012) Wibowo, Hardianto
JURNAL BISNIS STRATEGI Vol 21, No 1 (2012): Juli
Publisher : Magister Manajemen, Fakultas Ekonomika dan Bisnis Undip

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (482.831 KB) | DOI: 10.14710/jbs.21.1.112-141

Abstract

By understanding the cointegration between one capital market with other capital markets,  it can assist investors in determining which of the capital  market  will be used to form the International diversification in order to provide a potential advantage.  In research on the cointegration of capital markets has been done by Fratzscher (2002), Murtini and Ekawati (2003), Karim, Kassim, dan Arip (2010), Srikanth and Aparna (2012), by taking a few sample of some of the capital market in the world revealeddifferent results, instead of giving rise to a research gap. Therefore, it is necessary to do a deeper study because a different result occured after the economic crisis of United States and Europe in 2008. Research problem to be studied is to analyze the cointegration between the Indonesian capital market with the U.S. capital markets (DJIA) and the European capital markets (FTSE 100, IBEX 35 and ATHEX).This reseach method uses quantitative research. The sample of research is the data from IHSG, DJIA index, FTSE 100 index,  IBEX 35 index, and ATHEX index that limited in weekend closing data during the observation period between 2008-2012. Data analysis techniques using Johansen Cointegration Test, Augmented Dickey-Fuller (ADF) Test and Granger Causality Test within 5% significance.The results of this study would be indicate that the Indonesian capital market has been cointegrated  with U.S. stock market (DJIA), UK stock market  (FTSE 100), Spain stock market (IBEX 35) and Greek capital market (ATHEX). Indeed, the Indonesian Capital Market connected to U.S. and Europe Capital Markets have a causal relationship. 
Performance Comparisson Human Activity Recognition Using Simple Linear Method Kusuma, Wahyu Andhyka; Sari, Zamah; Minarno, Agus Eko; Wibowo, Hardianto; Akbi, Denar Regata; Jawas, Naser
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 5, No. 1, February 2020
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (731 KB) | DOI: 10.22219/kinetik.v5i1.1025

Abstract

Human activity recognition (HAR) with daily activities have become leading problems in human physical analysis. HAR with wide application in several areas of human physical analysis were increased along with several machine learning methods. This topic such as fall detection, medical rehabilitation or other smart appliance in physical analysis application has increase degree of life. Smart wearable devices with inertial sensor accelerometer and gyroscope were popular sensor for physical analysis. The previous research used this sensor with a various position in the human body part. Activities can classify in three class, static activity (SA), transition activity (TA), and dynamic activity (DA). Activity from complexity in activities can be separated in low and high complexity based on daily activity. Daily activity pattern has the same shape and patterns with gathering sensor. Dataset used in this paper have acquired from 30 volunteers.  Seven basic machine learning algorithm Logistic Regression, Support Vector Machine, Decision Tree, Random Forest, Gradient Boosted and K-Nearest Neighbor. Confusion activities were solved with a simple linear method. The purposed method Logistic Regression achieves 98% accuracy same as SVM with linear kernel, with same result hyperparameter tuning for both methods have the same accuracy. LR and SVC its better used in SA and DA without TA in each recognizing.
Analisa Data Pesawat Terbang Menggunakan Metode Elimination Void Data dan Smoothing Data Chandranegara, Didih Rizki; Arifianto, Sofyan; Wibowo, Hardianto
POROS TEKNIK Vol. 12 No. 1 (2020)
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/porosteknik.v12i2.874

Abstract

Perkembangan transportasi udara saat ini semakin meningkat, sehingga data yang disediakan juga semakin banyak. Oleh karena itu perlu dilakukan analisa-analisa terkait data penerbangan yang ada. Sehingga hasil analisa tersebut sangat berguna sebagai bahan evaluasi pihak otoritas penerbangan. Penelitian ini melakukan analisa terhadap data pesawat yang di sebarkan secara periodik menggunakan sistem yang bernama Automatic Dependent Surveillance-Broadcast (ADS-B). Hasil dari penelitian ini menunjukkan bahwa data penerbangan yang sangat besar dapat direduksi sehingga dapat menghemat ruang penyimpanan data dari pihak tertentu tanpa mengurangi informasi yang di peroleh sebelumnya.
ClusterMix K-Prototypes Algorithm to Capture Variable Characteristics of Patient Mortality With Heart Failure Novidianto, Raditya; Wibowo, Hardianto; Chandranegara, Didih Rizki
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 6, No. 2, May 2021
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v6i2.1209

Abstract

Cardiovascular Disease (CVD) is one of the leading causes of many death worldwide, leading to heart failure incidence. The World Health Organization (WHO) says the number of people dying from cardiovascular disease from heart failure each year has an average of 17,9 million deaths each year, about 31 percent of the total deaths globally. Identify the mortality factors of heart failure patients that need to be formed, which reduces death due to heart failure. One of them is by using variable mortality due to heart failure by applying the k-prototypes algorithm. The clustering result is formed 2 clusters that are considered optimal based on the highest silhouette coefficient value of 0,5777. The results of the study were carried out as segmentation of patients with variable mortality of heart failure patients, which showed that cluster 1 is a cluster of patients who have a low risk of the chance of mortality due to heart failure and cluster 2 is a cluster of patients with a high risk of mortality due to heart failure. The segmentation is based on the average value of each variable of heart failure mortality factor in each cluster compared to normal conditions in serum creatine variables, ejection fraction,  age,  serum sodium, blood pressure, anemia,  creatinine phosphokinase,  platelets, smoking, gender, and diabetes.
Combined scaled manhattan distance and mean of horner’s rules for keystroke dynamic authentication Didih Rizki Chandranegara; Hardianto Wibowo; Agus Eko Minarno
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 2: April 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i2.14815

Abstract

Account security was determined by how well the security techniques applied by the system were used. There had been many security methods that guaranteed the security of their accounts, one of which was Keystroke Dynamic Authentication. Keystroke Dynamic Authentication was an authentication technique that utilized the typing habits of a person as a security measurement tool for the user account. From several research, the average use in the Keystroke Dynamic Authentication classification is not suitable, because a user's typing speed will change over time, maybe faster or slower depending on certain conditions. So, in this research, we proposed a combination of the Scaled Manhattan Distance method and the Mean of Horner's Rules as a classification method between the user and attacker against the Keystroke Dynamic Authentication. The reason for using Mean of Horner’s Rules can adapt to changes in values over time and based on the results can improve the accuracy of the previous method.
Facial expression recognition of 3D image using facial action coding system (FACS) Hardianto Wibowo; Fachrunnisa Firdausi; Wildan Suharso; Wahyu Andhyka Kusuma; Dani Harmanto
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 2: April 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i2.9304

Abstract

Facial expression or mimic is one of the results of muscle motion on the face. In a large Indonesian dictionary, the expression is a disclosure or process of declaring, i.e. showing or expressing intentions, ideas of feelings and so on. Facial expression is affected by the cranial nerve VII or Nervus Facialis. In research conducted Paul Ekman got a standardization of expression in the format of a movement called the Facial Action Coding System (FACS). In his research, Paul Ekman said six basic expressions of happiness, sadness, shock, fear, anger, and disgust. In muscle anatomy, that every moving muscle must be contraction, and in the event of contraction, the muscle will expand or swell. Muscles are divided into three parts of origo and insersio as the tip of muscle and belli as the midpoint of the muscle, so any movement occurs then the muscle part belli will expand or swell. Data retrieval technique that is by recording data in 3D, any contraction occurs then the belli part of the muscle will swell and this data will be processed and compared. From this data processing will be obtained the maximum strength of contraction that will be used as a reference for the magnitude of expression made by the model. In the detection of expression is ecluidience distance by comparing the initial data with movement data. The result of this research is a detection of expression and the amount of expression that occurs. A conclusion of this research, we can reconstruction of facial expression detection using FACS, for the example the happiness expression using AU 6 and AU 12 and in this research AU 6 and AU 12 in area 1 and area 4, and in this area it so higher than the other.
Frontalis Muscle Strength Calculation Based On 3D Image Using Gray Level Co-occurrence Matrix (GLCM) and Confidence Interval Hardianto Wibowo; Eko Mulyanto Yuniarno; Aris Widayati; Mauridhi Hery Purnomo
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 1: February 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i1.6490

Abstract

One of the effects of the disorders of nervus VII (n. Facialis) is the damage of facial muscle. The research is needed in order to detect or as the therapies aids on the damage of the VII nerve by measuring the strength of maximum contraction, to help a therapy or detect the damage which caused by the decreasing of the VII nerve function. These measurement is taken from the difference on myofibrin when the contractions, because when the contraction happen, the myofibrin will distend and the difference can be detected as the strength of contraction. From the result of the comparison, EMG with the test result is the shift muscle movement amount of 1.367 up to 4.460. The mean value of rest muscle is in the range of 0.635 with interval at+0.463, on the move muscles the mean value of the muscle moving is in the range of 3,563 with interval at+1,069. This test is linear with the data EMG.
Co-Authors Abims Fardiansa Achmadi, Taufan Reza Agus Eko Minarno Ahmad Faiz, Ahmad Akbi, Denar Regata Ali Akbar Montazeri Andriyani, Vivi Aris Widayati Bayu Fajar Pratama BAYU PRASTOWO Chandra Sebastian Chandranegara, Didih Rizki Christian Sri Kusuma Aditya Dani Harmanto Dani Harmanto Daroe Iswatiningsih Dewantoro, Muhammad Bagas Diah Ayu Fitriani Didih Rizki Chandranegara Djamarullah, Ahmad Raihan Eko Budi Cahyono Eko Mulyanto Yuniarno Fachrunnisa Firdausi Firdausi, Fachrunnisa Firmansyah, Tino Fitriani, Diah Ayu Hapzi Ali Harmanto, Dani Hazmi Rizky Heni Pujiastuti Ibnu Jahsy Karyati, Rina L. Yasril Imam Lailatul Huasniah Lailatul Husniah Lusianti, Aaliyah Matahari Bhakti Nendya, Matahari Bhakti Mauridhi Hery Purnomo Mochammad Yusuf Fachroni Moh Ridwan Multohadi Hamzaturrazak Naser Jawas, Naser Norhabibah, Siti Novidianto, Raditya Nuryasin, Ilyas Raditya Novidianto Raffi Ainul Afif Rahayu Nurul Khasanah Rina Karyati Sabrina Nurul Ubay Safun Rahmanto Sari, Zamah Siti Norhabibah Sofyan Arifianto Sofyan Arifianto Sumadi, Fauzi Dwi Setiawan Syaifuddin Syaifuddin Taufan Reza Achmadi Tino Firmansyah Ubay, Sabrina Nurul Vivi Andriyani Vizza Dwi Vitanti Wahyu Andhyka Kusuma Wicaksono, Galih Wasis Wildan Suharso Wildan Suharso Wildan Suharso Yuda Munarko Yufis Azhar Zamah Sari Zidni Lubis