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All Journal Jurnal Edukasi Universitas Jember Bulletin of Electrical Engineering and Informatics International Journal of Advances in Intelligent Informatics Scientific Journal of Informatics Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Bisma: Jurnal Bisnis dan Manajemen MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JURNAL AKUNTANSI KEUANGAN DAN MANAJEMEN Jurnal Tekinkom (Teknik Informasi dan Komputer) Journal of Soft Computing Exploration Jurnal Abdimas Ekonomi dan Bisnis Transekonomika : Akuntansi, Bisnis dan Keuangan Reviu Akuntansi, Manajemen, dan Bisnis PENA ABDIMAS : Jurnal Pengabdian Masyarakat Indonesian Journal of Informatic Research and Software Engineering Jurnal Pemberdayaan Ekonomi eProceedings of Management Journal of Student Research Exploration Journal of Information System Exploration and Research Recursive Journal of Informatics IJEB JPM Jurnal Ekonomi, Manajemen, Akuntansi
Budi Prasetiyo, Budi
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Mathematics Nursing Public Health Social Sciences Other

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Journal : Scientific Journal of Informatics

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Penggunaan Metode Depth First Search (DFS) dan Breadth First Search (BFS) pada Strategi Game Kamen Rider Decade Versi 0.3 Prasetiyo, Budi; Hidayah, Maulidia Rahmah
Scientific Journal of Informatics Vol 1, No 2 (2014): November 2014
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v1i2.4022

Abstract

Pada permainan Game Kamen Rider Decade ini sangat membutuhkan strategi yang tepat jika ingin memenangkan dengan mudah permainan ini. Penelitian ini bertujuan untuk mengimplementasikan metode Dept First Search (DFS) dan Breadth First Search (BFS) pada Game Kamen Rider Decade, yang merupakan permainan dengan strategi penyelesaiannya menggunakan metode pencarian buta (blind search). Pengumpulan data dilakukan dengan pendekatan kualitatif dengan metode deskriptif, dimana pengujian dilakukan dengan memainkan 3 kali masing-masing dengan metode selalu BFS dan selalu DFS. Hasil menunjukan peluang lebih besar memenangkan permainan ini adalah dengan strategi selalu BFS. Dimana kemampuan BFS pada permainan ini dapat berguna untuk pertahanan terhadap musuh. 
Kombinasi Steganografi Berbasis Bit Matching dan Kriptografi DES untuk Pengamanan Data Prasetiyo, Budi; Gernowo, Rahmat; Noranita, Beta
Scientific Journal of Informatics Vol 1, No 1 (2014): May 2014
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v1i1.3643

Abstract

Pada penelitian ini dilakukan kombinasi steganografi dan kriptografi untuk pengamanan data dengan tidak mengubah kualitas media cover. Metode steganografi yang digunakan dengan melakukan pencocokan bit pesan pada bit MSB citra. Proses pencocokan dilakukan secara divide and conquer. Hasil indeks posisi bit kemudian dienkripsi menggunakan algoritma kriptografi Data Encryption Standard (DES). Masukkan data berupa pesan teks, citra, dan kunci. Output yang dihasilkan berupa chiperteks posisi bit yang dapat digunakan untuk merahasiakan data. Untuk mengetahui isi pesan semula diperlukan kunci dan citra yang sama. Kombinasi yang dihasilkan dapat digunakan untuk pengamanan data. Kelebihan metode tersebut citra tidak mengalami perubahan kualitas dan kapasitas pesan yang disimpan dapat lebih besar dari citra. Hasil pengujian menunjukkan citra hitam putih maupun color dapat digunakan sebagai cover, kecuali citra 100% hitam dan 100% putih. Proses pencocokan pada warna citra yang bervariasi lebih cepat. Kerusakan pesan dengan penambahan noise salt and peper mulai terjadi pada nilai MSE 0,0067 dan gaussian mulai terjadi pada nilai MSE 0,00234. 
The Comparison between Bayes and Certainty Factor Method of Expert System in Early Diagnosis of Dengue Infection Rachmawati, Eka Yuni; Prasetiyo, Budi; Arifudin, Riza
Scientific Journal of Informatics Vol 5, No 2 (2018): November 2018
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v5i2.15740

Abstract

The development of existing artificial intelligence technology has been widely applied in detecting diseases using expert systems. Dengue Infection is one of the diseases that is commonly suffered by the community and may cause in death. In this study, an expert diagnosis system for dengue infection is made by comparing between both Bayes method and Certainty Factor. The aims are to build an expert system using Bayes and Certainty Factor for early diagnosis of dengue infection and also to determine their level of accuracy. There are 80 data used in this study which are obtained from the medical records of Sekaran Health Center in Semarang City. The test results show that the level of accuracy obtained from 80 medical record data for Bayes method is 90% and the Certainty Factor method is 93,75%.
Optimization Neuro Fuzzy Using Genetic Algorithm For Diagnose Typhoid Fever Fata, Muhamad Nasrul; Arifudin, Riza; Prasetiyo, Budi
Scientific Journal of Informatics Vol 6, No 1 (2019): Mei 2019
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v6i1.17097

Abstract

Neuro Fuzzy is one method in the field of information technology used in diagnosing an disease. The application of Neuro Fuzzy is to identify disease. Genetic algorithms can be used to find solutions without paying attention to the subject matter specifically, one of which is an optimization problem. Typhoid or typhoid fever is a disease caused by Salmonella enterica bacteria, especially its derivatives. The diagnosis of typhoid fever is not an easy thing to do. This is because some of the indications experienced by patients also appear in other diseases. The number of patients with typhoid fever that requires accuracy in diagnosing typhoid fever based on indications caused. Based on this background this study aims to assist in the diagnosis of typhoid fever with 11 indication variables. This study uses medical record data for typhoid fever in 2017 Tidar Magelang Hospital. The method used is Neuro Fuzzy which optimizes the value of the degree of membership with genetic Algorithms. Then the value of the degree of neuro fuzzy membership is more optimal. The results of this optimization are the diagnosis of typhoid fever based on the variable of indications entered. From the research results obtained from the neuro fuzzy method get an 80% accuracy value and neuro fuzzy optimization results with genetic algorithms with a value of pc 0.5, pm 0.2 and max generation 25 the value of accuracy increases to 90%. Suggestions from this study, need to add more specific indication variables.
Kombinasi Steganografi Berbasis Bit Matching dan Kriptografi DES untuk Pengamanan Data Prasetiyo, Budi; Gernowo, Rahmat; Noranita, Beta
Scientific Journal of Informatics Vol 1, No 1 (2014): May 2014
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v1i1.3643

Abstract

Pada penelitian ini dilakukan kombinasi steganografi dan kriptografi untuk pengamanan data dengan tidak mengubah kualitas media cover. Metode steganografi yang digunakan dengan melakukan pencocokan bit pesan pada bit MSB citra. Proses pencocokan dilakukan secara divide and conquer. Hasil indeks posisi bit kemudian dienkripsi menggunakan algoritma kriptografi Data Encryption Standard (DES). Masukkan data berupa pesan teks, citra, dan kunci. Output yang dihasilkan berupa chiperteks posisi bit yang dapat digunakan untuk merahasiakan data. Untuk mengetahui isi pesan semula diperlukan kunci dan citra yang sama. Kombinasi yang dihasilkan dapat digunakan untuk pengamanan data. Kelebihan metode tersebut citra tidak mengalami perubahan kualitas dan kapasitas pesan yang disimpan dapat lebih besar dari citra. Hasil pengujian menunjukkan citra hitam putih maupun color dapat digunakan sebagai cover, kecuali citra 100% hitam dan 100% putih. Proses pencocokan pada warna citra yang bervariasi lebih cepat. Kerusakan pesan dengan penambahan noise salt and peper mulai terjadi pada nilai MSE 0,0067 dan gaussian mulai terjadi pada nilai MSE 0,00234.
Penggunaan Metode Depth First Search (DFS) dan Breadth First Search (BFS) pada Strategi Game Kamen Rider Decade Versi 0.3 Prasetiyo, Budi; Hidayah, Maulidia Rahmah
Scientific Journal of Informatics Vol 1, No 2 (2014): November 2014
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v1i2.4022

Abstract

Pada permainan Game Kamen Rider Decade ini sangat membutuhkan strategi yang tepat jika ingin memenangkan dengan mudah permainan ini. Penelitian ini bertujuan untuk mengimplementasikan metode Dept First Search (DFS) dan Breadth First Search (BFS) pada Game Kamen Rider Decade, yang merupakan permainan dengan strategi penyelesaiannya menggunakan metode pencarian buta (blind search). Pengumpulan data dilakukan dengan pendekatan kualitatif dengan metode deskriptif, dimana pengujian dilakukan dengan memainkan 3 kali masing-masing dengan metode selalu BFS dan selalu DFS. Hasil menunjukan peluang lebih besar memenangkan permainan ini adalah dengan strategi selalu BFS. Dimana kemampuan BFS pada permainan ini dapat berguna untuk pertahanan terhadap musuh.
Expert System Diagnosis of Urinary System Diseases using Forward Chaining and Dempster Shafer Fitriana, Jevita Dwi; Prasetiyo, Budi; Arifudin, Riza
Scientific Journal of Informatics Vol 7, No 1 (2020): May 2020
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v7i1.22400

Abstract

Expert system is a computer system that can adopt human knowledge into a computer. Expert system can be used to solve problems commonly performed by experts, one of them is the diagnosis of urinary system diseases. Expert system for the diagnosis of the urinary system disease especially for the inflammation of the bladder and these pyelonephritis using the forward chaining and the dempster shafer method. Forward chaining is used to diagnose disease based on the rules and the dempster shafer is used to determine the value of confidence. The goal is to build an expert system using forward chaining and dempster shafer methods to diagnose early urinary system diseases and to determine the level of accuracy. The data used is the secondary data obtained from the UCI Machine Learning Repository as much as 120 data and 6 attributes. The result of the implementation of the forward chaining and the dempster shafer methods on this expert system of diagnosis of urinary system diseases generates an accuracy value of 87.5%.
Prediction of COVID-19 Using Recurrent Neural Network Model Alamsyah, Alamsyah; Prasetiyo, Budi; Hakim, M. Faris Al; Pradana, Fadli Dony
Scientific Journal of Informatics Vol 8, No 1 (2021): May 2021
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v8i1.30070

Abstract

The COVID-19 case that infected humans was first discovered in China at the end of 2019. Since then, COVID-19 has spread to almost all countries in the world. To overcome this problem, it takes a quick effort to identify humans infected with COVID-19 more quickly. One of the alternative diagnoses for potential COVID-19 disease is Recurrent Neural Network (RNN). In this paper, RNN is implemented using the Elman network and applied to the COVID-19 dataset from Kaggle. The dataset consists of 70% training data and 30% test data. The learning parameters used were the maximum epoch, learning late, and hidden nodes. The research results show the percentage of accuracy is 88.
Expert System Diagnosis of Urinary System Diseases using Forward Chaining and Dempster Shafer Fitriana, Jevita Dwi; Prasetiyo, Budi; Arifudin, Riza
Scientific Journal of Informatics Vol 7, No 1 (2020): May 2020
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v7i1.22400

Abstract

Expert system is a computer system that can adopt human knowledge into a computer. Expert system can be used to solve problems commonly performed by experts, one of them is the diagnosis of urinary system diseases. Expert system for the diagnosis of the urinary system disease especially for the inflammation of the bladder and these pyelonephritis using the forward chaining and the dempster shafer method. Forward chaining is used to diagnose disease based on the rules and the dempster shafer is used to determine the value of confidence. The goal is to build an expert system using forward chaining and dempster shafer methods to diagnose early urinary system diseases and to determine the level of accuracy. The data used is the secondary data obtained from the UCI Machine Learning Repository as much as 120 data and 6 attributes. The result of the implementation of the forward chaining and the dempster shafer methods on this expert system of diagnosis of urinary system diseases generates an accuracy value of 87.5%.
Increasing Message Capacity in Images Using Advanced Least Significant Bit and Image Scaling Fadlil, Affan; Prasetiyo, Budi; Alamsyah, Alamsyah
Scientific Journal of Informatics Vol 8, No 2 (2021): November 2021
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v8i2.28138

Abstract

Purpose: Steganography is the science of writing hidden or hiding messages so that apart from the sender and the recipient, no one can know or realize that a message is hidden. This paper aims to analyze the method of advanced LSB to increase message capacity. Methods/Study design/approach: The steganography technique advanced LSB algorithm develops pre-existing steganographic algorithms such as LSB by utilizing a range of media pixel values cover (images that are used as media to hide messages) with different insertion rules from LSB. Image scaling in digital image processing is known as resampling. Resampling is a mathematical technique used to produce a new image from the previous image with different pixel size, often called interpolation. Increasing the pixel size of the previous image is called upsampling and in this study we will only use twice the image magnification. Result/Findings: The results of each test method using advanced LSB without image scaling and advanced LSB using image scaling were compared to obtain detailed comparison results of each method. Novelty/Originality/Value: Advanced LSB and image scaling in this study can increase the message capacity three times compared to only using the advanced LSB method without image scaling. It depends on the image pixels used.
Co-Authors Afrizal Rizqi Pranata, Afrizal Rizqi Aisy, Salsabila Rahadatul Alamsyah - Amidi Amidi, Amidi Aziz, Alif Abdul Azura, Amberia Narfi Bayuaji, Hibatullah Zamzam Tegar Beta Noranita Biyantoro, Arell Saverro D.W, Made Bagus Paramartha Didimus Tanah Boleng Dinova, Dony Benaya Endang Sugiharti, Endang Fachrezi, Farhan Rifa Fadhilah, Muhammad Syafiq Fadlil, Affan Fata, Muhamad Nasrul Fata, Muhamad Nasrul Ferninda, Varin Fikri Mohamad Rizaldi Fitriana, Jevita Dwi Hakim, Ade Anggian Hakim, M. Faris Al Hakim, Roshan Aland Jumanto Unjung Korina, Nanda Putri Leo nardo Lestari , Apri Dwi Lestari, Fitri Duwi Lintang, Irendra M. Faris Al Hakim Makrina Tindangen Maulidia Rahmah Hidayah, Maulidia Rahmah Much Aziz Muslim Munahefi, Detalia Noriza Mustaqim, Amirul Naufal Zuhdi, Hamzah Ndruru, Toni Krisman Nikmah, Tiara Lailatul Ningsih, Maylinna Rahayu Nisa, Intan Khairun Partini, Emilia Pertiwi, Dwika Ananda Agustina Pradana, Fadli Dony Rachmawati, Eka Yuni Rachmawati, Eka Yuni Rahmat Gernowo Ristiawati, Monika Riza Arifudin Rofik Rofik, Rofik S.Pd. M Kes I Ketut Sudiana . Sadid, Moh Naufal Salsabila, Malika Putri Saparina, Iska Ayu Saputra, Angga Riski Dwi Satriawan, Grace Yudha Satrio Ardiansyah, Adi Seivany, Ravenia Septian, M Rivaldi Ali Sulastri, Ai Syaharani, Reisya Triyadi, Indra Vember, Hilda Yulia Nur Hasanah