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All Journal Jurnal Teknologi dan Manajemen Informatika Jurnal Buana Informatika JSI: Jurnal Sistem Informasi (E-Journal) Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Transformatika Jurnal Informatika Upgris SINTECH (Science and Information Technology) Journal Jurnal Telematika JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi Journal of Computer Science and Engineering (JCSE) MEANS (Media Informasi Analisa dan Sistem) Jurnal Pengabdian kepada Masyarakat Bina Darma Jurnal Abdimas Musi Charitas
Maria Bellaniar Ismiati
Universitas Katolik Musi Charitas
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Languange, Linguistic, Communication & Media Library & Information Science Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Journal : Jurnal Transformatika

 1 
Penentuan Error Dalam Peramalan Jumlah Korban Demam Berdarah Dengue Menggunakan Metode Neural Network (Kasus : Rumah Sakit Charitas Palembang) Maria Bellaniar Ismiati; Latius Hermawan
Jurnal Transformatika Vol 14, No 1 (2016): July 2016
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v14i1.386

Abstract

Dengue Hemorrhagic Fever (DHF) is a type of disease that was ranked first in ASEAN and ranked second in the world. The number of victims of dengue in RS Charitas Palembang tend to increase in certain months and erratic every month. In addition, dengue casualty data is not used as an evaluation to reduce the number of victims. It became the basis for forecasting the number of victims of dengue in the next year. Research to predict the number of victims of dengue have been done with various techniques of artificial intelligence. Research conducted now use data RS Charitas Palembang patterned time series over the last 10 years by using Neural Network. The results obtained are patterns victim DBD significant start in December and then reach the peak in January, accompanied by figures forecast in each month of the following year. Furthermore, the calculation error using Neural Network obtained using the input layer 12, hidden neuron 28, and the output layer 1 and the error obtained 12.59%.
Random Obstacle Advoidance oleh Non Player Character Menggunakan Algoritma A* Latius Hermawan; Maria Bellaniar Ismiati
Jurnal Transformatika Vol 14, No 2 (2017): January 2017
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v14i2.438

Abstract

Belum ditemukannya solusi yang optimal untuk menyelesaikan masalah pathfinding. Biasanya solusinya tergantung pada spesifik dari ketentuan untuk dapat menemukan jalan keluar untuk setiap permainan yang diberikan. Pathfinding yang optimal merupakan suatu hal yang sulit untuk ditemukan, dimana terdapat perbedaan antara istilah path dan shortest path. Sehingga pathfinding yang ada bertujuan untuk menemukan jalur terpendek yang optimal. Salah satu algoritma yang digunakan pada pathfinding adalah A* digunakan dalam melakukan pencarian jalur yang optimal yang menghubungkan dua titik pada peta (grafik) dari permainan yang ada. Algoritma A* dapat membantu NPC untuk menemukan rute dalam mencari keberadaan target dengan berbagai halangan yang disediakan secara acak dalam satu waktu. Sehingga algoritma ini dapat digunakan untuk mencari rute walaupun ada banyak obstacle yang bermunculan secara acak.
Online Based Thesis Guidance Application For Informatics Students During Pandemic Hermawan, Latius; Ismiati, Maria Bellaniar
Jurnal Transformatika Vol. 19 No. 1 (2021): July 2021
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v19i1.3088

Abstract

The Ministry of Education and Culture (Kemendikbud) issued Circular Letter Number 15 of 2020 concerning Guidelines for Organizing Learning from Home in an Emergency for the Spread of Covid-19. This causes the learning process that should be done face-to-face, being changed to online. Students must study from home and carry out the online thesis guidance process. Some of the difficulties experienced by students during direct mentoring, namely the difficulty of meeting lecturers who are busy teaching or doing assignments from institutions, besides that students who come from outside the city have to go back and forth just to meet the supervisor.. One of the ways to solve this problem is by applying technology.   Currently there is web technology that can be used to easily develop applications, namely the concept of a framework approach. With the existence of an online-based application which is the role of current technological developments, it will make the thesis guidance process carried out by lecturers and students more flexible. Students are able to carry out the guidance process anywhere and anytime.
Co-Authors Alexander, Febrian Anak Agung Gede Sugianthara Andayani, Sri Andri Wijaya Celesta, Ivana Febrian Alexander Gunadi Emmanuel Ivana Celesta Jawa Bendi, Reginaldus Kritoforus Latius Hermawan Malla, Maria Ono, Rosalia Sonia Ono, Rosalia Sonia R.P, Atiek Ria Manurung Sri Andayani Sri Andayani Violentina Wijaya