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Journal : Journal of Information Technology and Computer Science

Automatic Measurement of Human Body Temperature on Thermal Image Using Knowledge-Based Criteria Fitriyah, Hurriyatul; Rachmadi, Aditya; Setyawan, Gembong Edhi
Journal of Information Technology and Computer Science Vol. 2 No. 2: November 2017
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (189.494 KB) | DOI: 10.25126/jitecs.20172235

Abstract

Instead of thermometer, an infrared camera could be uti-lized to scan body temperature instantly and non-contact. This paperproposed a non-contact measurement of human body temperature by au-tomatically locating inner-chantus on thermal images. The inner-canthuswere detected in both eyes individually. It located inner-canthi based ontemperature where inner-canthi has the highest temperature in face area.A Thresholding based on 9-highest temperature were applied to detectcandidates of inner-canthus' blob as it must have minimum 9 pixel areaaccording to the Standard. Three knowledge based on characteristic ofeye were also applied in the algorithm as several spot in face usuallyfalls within the temperature threshold. The result show accuracy of al-gorithm to detect eye is 82% whether the eyelids were open or closed.There is no signicant dierent of temperature between closed and openeyes based on paired t-test. The algorithm also showed similar result tothermometer measurement based on paired t-test.
Intelligent Computing System to Predict Vocational High School Student Learning Achievement Using Naïve Bayes Algorithm Herlambang, Admaja Dwi; Wijoyo, Satrio Hadi; Rachmadi, Aditya
Journal of Information Technology and Computer Science Vol. 4 No. 1: June 2019
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (5451.972 KB) | DOI: 10.25126/jitecs.20194169

Abstract

Vocational High School with ICT major need an intelligent computing system that could predict the student learning achievement. The system used fifteen achievement indicators and Naïve Bayes algorithm in data processing. Testing on student achievement data produces the conclusion that is the highest intelligent accuracy values in 53% with lowest accuracy value in 48% based on Naïve Bayes algorithm processing. The result of mining process using Naïve Bayes algorithm can be used to classify the 3rd year student achievement to five categories. These categories are Very Good, Good, Fair, Poor, and Failed. The system testing result showed that this intelligent computing system function was fitted with Vocational High School’s system requirement, system design, and system implementation.
Comparison of Indonesian Population Information System Service Performace Based On Information System Functional Scorecard Theory Farah, Najla Alia; Herlambang, Admaja Dwi; Rachmadi, Aditya
Journal of Information Technology and Computer Science Vol. 6 No. 3: December 2021
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1041.82 KB) | DOI: 10.25126/jitecs.202163306

Abstract

The Balikpapan Population and Civil Registration Office has implemented service automation by using an information system to support the population and civil registration administration services in Balikpapan, Indonesia. The information system implemented is called The Population Administration Information System (SIAK). The office has previously implemented an information system similar to SIAK, namely the Population Administration Organizing System (SPAK). One of the office aims is to improve the quality of SIAK. SIAK quality is improved in order to achieve optimal service. As a step of achieving vision and mission, implementing work functions and optimizing the utilization of information systems, the comparison of information system performance between information systems that have been used with information systems that have previously been used. The guidelines used in assessing the performance of both systems are Information System Functional Scorecard (ISFS) theory. The data collected by questionnaires then conducted Paired-T Test so that the results of the two systems were obtained differences and can be compared to know which system is superior. SIAK is an information system that is declared superior to SPAK. Furthermore, the comparison results become a reference in providing recommendations for SIAK performance improvement based on the performance comparison results with SPAK.
Evaluation Quality and Success Implementation of Nganjuk Smart City Mobile Application Using Technology Acceptance Model (TAM) and Delone Mclean Model Approach Anisya, Rossa Dini; Herlambang, Admaja Dwi; Rachmadi, Aditya
Journal of Information Technology and Computer Science Vol. 6 No. 3: December 2021
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (946.944 KB) | DOI: 10.25126/jitecs.202163322

Abstract

Nganjuk Smart City is an android-based mobile application that was created to help Nganjuk citizen obtain public information and services. This research uses Technology Acceptance Model (TAM) and Delone & Mclean in order to determine quality and success implementation condition of Nganjuk Smart City. Data retrieval was conducted by sharing online and offline questionnaires to 175 respondents and used purposive sampling techniques to determine research samples. The result of this research is quality condition implementation of Nganjuk Smart City based on Technology Acceptance Model (TAM) falls into high category and get 71.4% score, while successful condition implementation of Nganjuk Smart City based on Delone & McLean model falls into the high category and get 69.4% score. There are 4 variables and 18 indicators that get improvement recommendations because they get scores lower than the total average scores.
Co-Authors Achya, Aura Salsabila Adiansyah, Eric Admaja Dwi Herlambang, Admaja Dwi Adriansyah Dwi Wahyudi, Brian Aji, Yanuar Bimantoro Akbar, Asyam Fadhilah Akbar, Muhammad Aminul Aldiariza, Sephia Ali, Tanziil Aziizil Alimah, Cindy Felita Nur Almira Syawli, Almira Andi Reza Perdanakusuma, Andi Reza Anisya, Rossa Dini Annila, Nazwa Arief Setiawan Ariyandi, Muhammad Luthfi Aryo Pinandito Atmaja, Alvino Dwiky Attaumi, Hana Awanda, Gabriella Fadhilatus Bariq, Alfreiza Burhan, Jason Anthony Cahya Sari Dwi Herlambang, Admaja Dwi Yuli Saputro, Danuarta Eka Sasmita, Erlina Exacta, Arena Bintang Fajar Agung Nugroho Fajar Pradana Farah, Najla Alia Fathurino, Audi Kresna Faturani, Bunga Sauma Fauzi, Alka Alvin Febriani, Melin Fitra Abdurrachman Bachtiar Fitriana, Allisa Nahla Gembong Edhi Setyawan Gunawan, Alexander Hadi Wijoyo, Satrio Hakim, Rahmana Ilmi Hanggara, Buce Hanggara, Buce Trias Hanun, Putri Nabilah Hapsari, Safira Widya Haryanti, Uun Hertin, Lyra Himawat Aryadita, Himawat Hurriyatul Fitriyah, Hurriyatul Intan Sartika Eris Maghfiroh Kusuma Wardani, Ajeng Ayu Linuwih, Dara Nurul Idlal Mubarok, Muhammad Rosyid Muhammad, Muqorrobin Ghulam Niken Hendrakusma Wardani Nuha, Zuhud Ulin Oktaviana, Evita Parengga, Restian Perwata, Denzel Alifioputera Pratama, Muhammad Naufal Putra, Davit Pratama Putra, Farhan Zaki Rahmaniar, Audrey Farrah Rahmatika, Azri Putri Rahmatulloh, Septianton Rezki Ramadhan Al Fauzi, Rafly Ramadhan, Dhuha Rizky Retno Indah Rokhmawati, Retno Indah Rohmah, Nurur Rosanti, Mitha Diah Rosari, Angela Chikita Roufi, Ahmad Washlur Salim, Pratama Maulidi Ega Satrio Hadi Wijoyo Sinatriya, Ichi Rizqi SUPRAPTO Susilowati, Putry Amaylia Syafiuddin, Mochammad Sylvantoni, Santiago Tarihoran, Aditya Nugraha Trias Hanggara, Buce Tyroni Mursityo, Yusi Ubaidillah, Ilham Maulana Utami, Dinar Indah Dwi Utami, Kartika Widhy Hayuhardhika Nugraha Putra Widiyanto, Andre Yahyasamdie, M. Adlant Nazhari Yefiananda, Diandra Charisa Yudha Pamungkas, Mohammad Yusi Tyroni Mursityo