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Jurnal Transformatika
Published by Universitas Semarang
ISSN : 16933656     EISSN : 24606731     DOI : -
Core Subject : Science,
Computer Science & IT
Transformatika is a peer reviewed Journal in Indonesian and English published two issues per year (January and July). The aim of Transformatika is to publish high-quality articles of the latest developments in the field of Information Technology. We accept the article with the scope of Information Systems, Web Technology, Computer Networks, Artificial Intelligence, and Multimedia.
Arjuna Subject : -
Articles 344 Documents
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ANALISA DAN PERANCANGAN SISTEM PENDUKUNG KEPUTUSAN SELEKSI ASISTEN PRAKTIKUM DI JURUSAN TEKNOLOGI INFORMASI FTIK USM MENGGUNAKAN METODE PROFILE MATCHING Titis Handayani
Jurnal Transformatika Vol 11, No 1 (2013): July 2013
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v11i1.91

Abstract

Dalam kegiatan praktikum peran dari asisten tentu sangat dibutuhkan oleh instruktur praktikum. Asisten bertugas memberikan bimbingan terhadap mahasiswa peserta praktikum yang dalam mengikuti kegiatan praktikum mengalami kesulitan.Pada setiap pelaksanaan rekrutmen tersebut sering kali terjadi peningkatan jumlah pelamar dari mahasiswa, sehingga untuk seleksi dan juga penentuan mahasiswa yang mempunyai kemampuan dalam membimbing dan mengarahkan menjadi terkendala.Usulan rancangan yang dibuat ini bertujuan untuk membantu tugas penyeleksi dalam menentukan asisten yang memiliki kemampuan membimbing dan sesuai dengan kriteria praktikum dengan tepat dan lebih cepat.
GAME SCORING SUPPORTING OBJECTS MENGGUNAKAN AGEN CERDAS BERBASIS ARTIFICIAL INTELLIGENCE Novita Putri, Astrid; Prathivi, Rastri
Jurnal Tr@nsForMat!ka Vol 13, No 2 (2016)
Publisher : Jurusan Teknologi Informasi Universitas Semarang

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Abstract

Game are activity most structure, one that rdinary is done in fun and also education tool and help to develop practical skill, as training, education, simulation or psychological. On its developing current game have until 3D. In one game, include in First Person Shutter  necessary scoring  one that intent to motivate that player is more terpacu to solve game until all through,  on scoring  Super Marios game Boss, Compass does count scoring havent utilized Artifical Intelligent so so chanted, while player meet with supporting objects example ammor  ability really guns directly dead, so is so easy win. Therefore at needs a count scoring  interesting so more motivated in finishing problem Scoring accounting point for First Person Shutters game .This modelling as interesting daring in one game, since model scoring  one that effective gets to motivate that player is more terpacu in plays and keep player for back plays. Besides model scoring  can assign value that bound up with game zoom.On Research hits scoring this game will make scoring bases some criterion which is health Point, Attack point, Defence point, And  Magic  what do at have  supporting objects ,then in this research do compare two method are methodic statistic and Fuzzy. Result of this research 83,4 % on testings examination and on eventually gets to be concluded that fuzzys method in trouble finish time more long time but will player more challenging to railroad.  
IMPLEMENTASI KLASIFIKASI BAYESIAN UNTUK STRATEGI MENYERANG JARAK DEKAT PADA NPC (NON PLAYER CHARACTER)MENGGUNAKAN UNITY 3D Asmiatun, Siti; Hendrawan, Aria
Jurnal Tr@nsForMat!ka Vol 13, No 2 (2016)
Publisher : Jurusan Teknologi Informasi Universitas Semarang

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Abstract

In a game against the enemy attack strategy should be applied , making it more appealing game players to finish the game up with the objectives to beachieved. This study discusses the strategy of attacking at close range to the NPC (Non Player Character ). In a game , especially for FPS ( First Person Shooter ) , we need a strategy NPC , with the aim to make the game more attractive and realistic.Strike strategy in this research is to divide some of the behavior of NPCs attack when in the position closest to the enemy. This research applies Bayesian algorithm for classifying the behavior of the NPC attack. The classification is expected to improve the strategy against an enemy attack . NPC assault classification is divided into two offensive behavior is the behavior of hitting and biting behavior. As for the variables used in Bayesian classification is health points, attack points player and a distance obtained from NPC conditions. From the test results using testing method of Bayesian classification confusion matrix , with trial games 10 times , has resulted in the presentation level of accuracy in the confusion matrix reach a percentage of 80%. This proves that the behavior classification melee attack with Bayesian classification method can be applied with good results
SISTEM PAKAR DIAGNOSA KERUSAKAN PADA MOTOR MATIC VARIO BERBASIS WEB Wicaksono, Imam; Hakim, Fitro Nur; Utomo, Victor Gayuh
Jurnal Tr@nsForMat!ka Vol 13, No 2 (2016)
Publisher : Jurusan Teknologi Informasi Universitas Semarang

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Abstract

Vario matic motorcycle riders do not know the constraints Vario matic motor damage and tend to leave the constraints of damage to the mechanical motor matic Vario without knowing that the actual damage is a simple damage, but if the rider had knowledge of treatment damages the motor matic Vario Vario matic handling damage can be done solely by the rider so that handling damage can be handled immediately without having to wait for a motorcycle repaired in the workshop. This study aims to produce rules as a knowledge base for damage matic based on the symptoms of damage and produce an expert system for diagnosis of the motor and electrical damage in the motor vehicle Vario matic. Methods in the design of this expert system uses an expert system dengen stages 6 stages, namely the identification, conceptualization, formalization, implementation, evaluation and development system. Diagnosis expert system Vario matic damage to the motor can be used to solve the problem of damage to motor matic vario diagnosis because it can give a diagnosis of any type of damage to the value of the probability of occurrence of each type of damage. 
DESAIN SISTEM INFORMASI GEOGRAFIS PEMETAAN GIZI BURUK DI KOTA SEMARANG Agus Herlambang, Bambang; Veria Setyawati, Vilda Ana
Jurnal Tr@nsForMat!ka Vol 13, No 2 (2016)
Publisher : Jurusan Teknologi Informasi Universitas Semarang

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Abstract

Severe Protein Energy Malnutrition (PEM) are four major problems in the nutrition world. Such as iodine deficiency disorders, and lack of vitamin A. It also often called malnutrition caused by shortages associated poor dietary intake in terms of quality and quantity. Based on data from Semarang Health Office in 2013, the scope of severe PEM in children under five with BGM (Down Red Lines) of 1,502 (1.7%) and children with severe malnutrition by 32 (0.04%). The number of infants with BGM (Down Red Lines) in Semarang in 2013 was 1,502 or 1.7%. Geographical Information Systems (GIS) is one of the information technology that was designed to use spatial and non spatial data. The system could report information and summarize the malnutrition data thus help to process analysis of the causes of malnutrition in the region. Geographic information systems development method used waterfall method with Unified Modeling tools laguage (UML). System testing was done by white box method for testing complexity groove siklomatis on system design and black box to test the input and output.
Comparasion Support Vector Machine And K-Nearest Neighbor for Classification fertile And Infertile Eggs Based on GLCM Texture Analysis Nurdiyah, Dewi; Muwakhid, Indra Abdam
Jurnal Tr@nsForMat!ka Vol 13, No 2 (2016)
Publisher : Jurusan Teknologi Informasi Universitas Semarang

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Abstract

Fertility eggs test are steps that must be performed in an attempt to hatch eggs. Fertility test usually use egg candling. The purpose of observation is to choose eggs fertile  (eggs contained embryos) and infertile eggs (eggs that are no embryos). And then fertilized egg will be entered into the incubator for hatching eggs and infertile can be egg consumption. However, there are obstacles in the process of sorting the eggs are less time efficient and inaccuracies of human vision to distinguish between fertile and infertile eggs. To overcome this problem, it can be used  Computer Vision technology is having such a principle of human vision. It used to identify an object based on certain characteristics, so that the object can be classified. The aim of this study to comparasion classify image fertile and infertile eggs with SVM (Support Vector Machine) algorithm and K-Nearest Neighbor Algorithm based on input from bloodspot texture analysis and blood vessels with GLCM (Gray Level Co-ocurance Matrix).  Eggs image  studied are 6 day old eggs. It is expected that the proposed method is an appropriate method for classification image fertile and infertile eggs.
SISTEM PENDUKUNG KEPUTUSAN FOOD COMBINING DENGAN METODE FORWARD CHAINING Salim, Inez Noviyanti; Budhi, Robby Kurniawan; Widianto, Yonatan
Jurnal Tr@nsForMat!ka Vol 13, No 2 (2016)
Publisher : Jurusan Teknologi Informasi Universitas Semarang

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Abstract

Public awareness of healthy eating is increasingly formed.However, healthy eating knowledge possessed by each individual is still minimal. This decision support system will use forward chaining method to draw conclusions from the facts already known. Output from the application of this decision support system is the decision whether a food that will be consumed , either for combined or not. The purpose of this research is to create a decision support system of food combining with forward chaining method. This research is expected to help the user in decision making with regard healthy diet food combinations
PENGEMBANGAN METODE OTENTIKASI KEASLIAN IJASAH DENGAN MEMANFAATKAN GAMBAR QR CODE Ardhianto, Eka; Wakhidah, Nur
Jurnal Tr@nsForMat!ka Vol 13, No 2 (2016)
Publisher : Jurusan Teknologi Informasi Universitas Semarang

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Abstract

QR Code is two-dimensional image that represents the data, particularly data-shaped teks. QR Code is an evolution of the first one-dimensional barcode into two dimentions. QR Code has the ability to store much more data than a barcode.One of the important data in the campus are collegers certificate. It is a document that serves as proof of authenticity that someone has undergone a formal education stage and successfully pass the exam. The collegers certificate conventionally used today is a collegers certificate in physical form so that there is the possibility of lost or damaged. Conventional collegers certificate verification process is difficult because the process is carried out only by the manufacturer of collegers certificate. The means used to verify the authenticity of the data collegers certificate today is to make direct contact to the manufacturers certificate regarding authenticity certificate holder, as well as the legalization process tertandatangan of collegers certificate maker.From the conduct of research and testing conducted it can be concluded that: QRCode can be used to accommodate large data information of graduate, Facilitate the detection of the authenticity of the certificate of ownership information from mobile devices, also QRCode can be quickly used to verify the certificates quickly and accurately
FUZZY MULTI-ATRIBUTE DECISION MAKING (FUZZY MADM) DENGAN METODE SAW UNTUK PEMILIHAN MAHASISWA BERPRESTASI Bernadus Very Christioko; Henny Indriyawati; Nurtriana Hidayati
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.v14i2.441

Abstract

Penentuan mahasiswa berprestasi (mawapres) tingkat fakultas terkadang mengalami kendala disaat penilaian kriteria tertentu pada kandidat kurang memenuhi namun di kriteria lain penilaian yang diperoleh melebihi ketentuan, juga apabila data-data atau informasi yang diberikan baik oleh juri maupun data kriteria dari kandidat tidak lengkap atau mengandung ketidakpastian yang mengakibatkan ketidakpastian nilai. Oleh karena itu tujuan dari penelitian ini adalah menerapkan metode Fuzzy untuk mengatasai ketidakpastian data atau informasi dan Multi-Attribute Decision Making (FMADM) dengan metode Simple Additive Weighting (SAW) untuk metode pengambilan keputusan dalam pemilihan mahasiswa berprestasi. Hasil dari penelitian ini adalah penerapan metode FMADM untuk mendukung pengambilan keputusan dalam pemilihan mahasiswa berprestasi tingkat fakultas dengan kandidat yang berasal dari setiap program studi.
ANALISA PENINGKATAN KUALITAS CITRA BAWAH AIR BERBASIS KOREKSI GAMMA dan HISTOGRAM EQUALIZATION Aria Hendrawan; Pulung Nurtantio Andono; Susanto Susanto
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.v14i1.384

Abstract

Underwater image of water quality in the dark, it depends on the depth of water at the time of image acquisition or image. The results of the image quality is adversely affecting the results matching the image pairs underwater with SIFT algorithm. This research aims to use the method of image preprocessing and Histogram Equalization Gamma Correction that works to improve the quality of images underwater. The results showed 27.76% increase using image preprocessing Gamma Correction and Histogram Equalization compared with no increase in image quality. Results of paired t-test has the null hypothesis is rejected so that there is a significant difference between the application of Gamma Correction Histogram Equalization with and without image enhancement.

Page 11 of 35 | Total Record : 344

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