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All Journal Perfecting a Video Game with Game Metrics e-Jurnal Arus Elektro Indonesia Journal of Information Technology and Computer Science Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Herman Tolle
Universitas Brawijaya
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Integrating fuzzy logic and genetic algorithm for upwelling prediction in Maninjau Lake Muhammad Rofiq; Yogie Susdyastama Putra; Wayan Firdaus Mahmudy; Herman Tolle; Ida Wahyuni; Philip Faster Eka Adipraja; Hafrijal Syandri
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 1: February 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i1.11605

Abstract

Upwelling is a natural phenomenon related with the increase in water mass that also occurs in Maninjau Lake, West Sumatra. The upwelling phenomenon resulted in considerable losses for freshwater fish farming because make mass mortalities of fish in farming using the method of floating net cages (karamba jaring apung/KJA). It takes a system that can predict the possibility of upwelling as an early warning to the community, especially fish farming to immediately prepare early anticipation of upwelling prevention. With historical water quality monitoring data at six sites in Maninjau Lake for 17 years, a prediction model can be made. There are three input criteria for Tsukamoto FIS that is water temperature, pH, and dissolve oxygen (DO). The model is built with fuzzy logic integration with the genetic algorithm to optimize the membership function boundaries of input and output criteria. After the optimization, hybrid Tsukamoto FIS and genetic algorithm successfully make a correct upwelling prediction on of 16 data with 94% accuracy.
Design of Mobile Finger Communications Board for Stroke Patient Using The Five Planes of User Experience Aan Jelli Priana; Herman Tolle; Ismiarta Aknuranda; Eko Arisetijono
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 (852.829 KB) | DOI: 10.25126/jitecs.20172236

Abstract

Stroke, in 2014 to mid-2015 is the first cause of death in Indonesia. The condition of stroke patients whose movements are limited is exacerbated by the psychic condition of patients who are unable to communicate pressure will cause obstacles to the healing process of the patient. This research is designed based on the five planes of user experience which are divided into five areas: strategy, scope, structure, skeleton, and surface. This communication board is operated using the patient's fingers so that it is comfortable for everyday activities. The result of Mobile Finger Communication Board implementation shows that application usability level seen from perception and ergonomic point of view shows satisfaction index of the user at the satisfactory level so that it can be said that the system works with the satisfactory result of the users. It is expected that with the Mobile Finger Communication Board which will be used daily to support the healing process of stroke so that the healing rate of stroke is increasing.
Personality Analysis through Handwriting Detection Using Android Based Mobile Device Waskitha Wijaya; Herman Tolle; Fitri Utaminingrum3
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 (816.519 KB) | DOI: 10.25126/jitecs.20172237

Abstract

Graphology is one of the psychology disciplines which aims to study the personality traits of individuals through interpretation of handwriting. We can get information of one’s personality through graphology. In addition, by using android based mobile device, graphology analysis could show one’s personality faster. This study was conducted by taking 42 samples of handwriting from different backgrounds. The feature used in this study was handwriting margin. Besides, Support Vector Machine method was employed to classify the result feature from extraction process. The result of this study showed the accurate average of the application reached 82.738%.
K-NEAREST NEIGHBOR UNTUK KLASIFIKASI PENILAIAN PADA VIRTUAL PATIENT CASE Kunti Eliyen; Herman Tolle; Muhamad Aziz Muslim
Jurnal Arus Elektro Indonesia Vol 3 No 1 (2017)
Publisher : Fakultas Teknik, Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jaei.v3i1.5363

Abstract

Dalam pendidikan kedokteran ada berbagai macam ujian yang diterapkan. Salah satunya adalah ujian Objective Stucture Clinical Examinations (OSCE). OSCE adalah alat untuk menilai komponen kompetensi klinik seperti history taking, pemeriksaan fisik, procedural skill, ketrampilan komunikasi, interpretasi hasil laboratorium, manajemen dan lain-lain yang diuji menggunakan checklist yang telah disetujui dan mahasiswa akan mengikuti beberapa station. OSCE merupakan bagian dari penilaian yang bertujuan untuk menilai kompetensi dan ketrampilan klinis mahasiswa secara objektif dan terstruktur yang biasanya dilakukan pada tengah semester atau akhir semester pada mata kuliah tertentu. Pada penelitian ini akan dikembangkan sistem penilaian otomatis untuk ujian OSCE berdasarkan kasus pasien virtual yang dapat digunakan oleh mahasiswa sebagai self -assessment agar mahasiswa memiliki kesiapan dalam menghadapi ujian OSCE yang nyata. Pada penelitian ini sistem penilaian dilakukan dengan melakukan klasifikasi nilai untuk setiap jenis kategori pemeriksaan. Algoritma yang akan diimplementasikan untuk klasifikasi adalah K-Nearest Neighbor (KNN). Uji coba yang telah dilakukan menggunakan KNN didapat akurasi sebesar 89,8% dengan menggunakan data latih sebesar 135, data uji sebesar 84 data dan nilai k=3.
Review of Technique and Algorithm for Educational Data Mining: Trend and Challenge in Games Design Ulfatun Nadifa; Fitra Abdurracman Bachtiar; Ahmad Afif Supianto; Herman Tolle
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 7, No. 1, February 2022
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v7i1.1349

Abstract

This study reviews techniques and algorithm models often used in the analysis of educational data mining. The review in this study is based on previous studies to provide researchers knowledge about trends and challenges analysis Educational data mining in game design meaningful. However, there is a lot of games design developed without analysis Educational data mining which then will not answer the student problem. The analysis needed periodic data and developing the game required actual student conditions, this is a combination inseparable. Determine Research questions, Search Terms, and filtering for the selection and analysis of the article review. There are some student problems on analysis review, namely prediction student performance, student behavior, student at-riks, and student dropout. The number of Articles in the study was 33 with 21 Articles of research and 12 of Article review. The number of studies 8 with percent 38% used techniques Confusion matric with 33% percent used algorithms Decision Tree in 7 of studies. The section in this study consists of techniques evaluation, model selection, outcome, subject, and algorithm method. Which are recommended techniques and algorithms for analysis Educational data mining and in ideal game design to further research.
Pengembangan Aplikasi Text-to-Speech Bahasa Indonesia Menggunakan Metode Finite State Automata Berbasis Android Rieke Adriati W.; Herman Tolle; Onny Setyawati
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 5 No 1: Februari 2016
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (651.47 KB)

Abstract

In this paper, the development of Android-based Indonesian Text-to-Speech (TTS) utilizing API Google for English TTS as a data voice has been proposed. Using this approach, a lightweight and mobile Indonesian TTS application can be realized. The utilization of English data voice is carried out by cutting off (hyphenate) Indonesian words into syllables using Finite State Automata method, then searching for equivalent syllables in English which have similar pronunciation. Using FSA method, this system is able to hyphenate all Indonesian words up to 95.19%. This application has Mean Opinion Score (MOS) value of understanding the words criteria of 3.31 and MOS value of smoothness pronunciation criteria of 3.46 (in a scale of 5).
The Effect Of Mobile Map With Geospatial Technologies On The Development Of Blind Disabilities’s Spatial Relational Thinking Muhammad Erwin Amrullah Amrullah; Fatwa Ramdani; Herman Tolle
Journal of Information Technology and Computer Science Vol. 7 No. 1: April 2022
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.202271307

Abstract

Orang tunanetra mungkin mengalami masalah saat berkunjung dari satu tempat ke tempat lain. Satu masalah umum yang mereka hadapi adalah mereka kesulitan membiasakan diri dengan tempat-tempat yang mereka kunjungi. Bagi masyarakat pada umumnya, masalah tersebut dapat diatasi dengan menggunakan peta. Kendati demikian, solusi penyandang tunanetra seperti itu mungkin bukan solusi terbaik karena peta yang bisa digunakan oleh tunanetra tersebut adalah peta taktil. Peta taktil memiliki banyak kekurangan, salah satunya adalah sulitnya mendapatkan update ketika terjadi perubahan pada area karena peta taktil belum terdigitalisasi untuk aplikasi mobile. Oleh karena itu, perlu dibuat peta berbasis aplikasi mobile untuk memudahkan penyandang tunanetra. Penelitian ini akan memfokuskan pada peta digital yang dapat diakses melalui aplikasi mobile dengan pendekatan Extreme Programming (XP) serta studi kasus yang dilakukan di Universitas Brawijaya. Peta digital yang dikembangkan nantinya akan diujicobakan kepada responden untuk diuji kelayakannya sehingga dapat membantu meningkatkan pemahaman spasial para penyandang tunanetra khususnya di wilayah Universitas Brawijaya. Lebih penting lagi, diharapkan dapat membantu para penyandang tunanetra di sekitar Universitas Brawijaya untuk membiasakan diri dengan lingkungan sekitarnya.
Co-Authors Aan Jelli Priana Ahmad Afif Supianto Eko Arisetijono Fatwa Ramdani, Fatwa Fitra Abdurracman Bachtiar Ismiarta Aknuranda Kunti Eliyen Muhamad Aziz Muslim Muhammad Erwin Amrullah Amrullah Muhammad Rofiq Onny Setyawati Philip Faster Eka Adipraja Rieke Adriati W. Syandri, Hafrijal Ulfatun Nadifa Utaminingrum, Fitri Wahyuni, Ida Waskitha Wijaya Wayan Firdaus Mahmudy Yogie Susdyastama Putra