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All Journal Jupiter Jurnal Media Infotama Syntax Jurnal Informatika Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Kursor Scan : Jurnal Teknologi Informasi dan Komunikasi Proceeding International Conference on Information Technology and Business Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Informatika dan Teknik Elektro Terapan International conference on Information Technology and Business (ICITB) Journal of Animation & Games Studies Format : Jurnal Imiah Teknik Informatika Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer INTEGER: Journal of Information Technology JPP IPTEK (Jurnal Pengabdian dan Penerapan IPTEK) Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Antivirus : Jurnal Ilmiah Teknik Informatika Jusikom: Jurnal Sistem Informasi Ilmu Komputer bit-Tech Journal of Appropriate Technology for Community Services ILKOMNIKA: Journal of Computer Science and Applied Informatics Jurnal Teknik Elektro dan Komputasi (ELKOM) JATI (Jurnal Mahasiswa Teknik Informatika) CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Ihsan: Jurnal Pengabdian Masyarakat Jifosi Nusantara Science and Technology Proceedings Jurnal Ilmiah Teknologi Informasi dan Robotika Jurnal Nasional Pengabdian Masyarakat International Journal of Data Science, Engineering, and Analytics (IJDASEA) Unram Journal of Community Service (UJCS) KERNEL: Jurnal Riset Inovasi Bidang Informatika dan Pendidikan Informatika Jurnal Minfo Polgan (JMP) Literasi Nusantara Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Sistem Informasi dan Ilmu Komputer Jurnal Informatika Polinema (JIP) Repeater: Publikasi Teknik Informatika dan Jaringan International Journal of Information Engineering and Science Jurnal Sistem Informasi dan Ilmu Komputer Jati Emas (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat)
Fetty Tri Anggraeny
Informatics, Faculty Of Computer Science, Universitas Pembangunan Nasional “Veteran” Jawa Timur, Surabaya 60294 Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Physics Public Health Social Sciences Other

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VOTING OF ARTIFICIAL NEURAL NETWORK PARTICLE SWARM OPTIMIZATION BICLASSIFIER USING GAIN RATIO FEATURE SELECTION Fetty Tri Anggraeny; Monica Widiasri
Jurnal Ilmiah Kursor Vol 7 No 2 (2013)
Publisher : Universitas Trunojoyo Madura

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Abstract

VOTING OF ARTIFICIAL NEURAL NETWORK PARTICLE SWARM OPTIMIZATION BICLASSIFIER USING GAIN RATIO FEATURE SELECTION a Fetty Tri Anggraeny, bMonica Widiasri aTeknik Informatika Universitas Pembangunan Nasional “Veteran” Jawa Timur Jl. Raya Rungkut Madya Gunung Anyar Surabaya Indonesia aUniversitas Surabaya Jawa Timur Jl. Raya Kalirungkut Surabaya Indonesia E-Mail: fetty_ta@yahoo.com Abstrak Seleksi fitur merupakan tahapan penting dalam proses klasifikasi. Proses ini menganalisa data (fitur) sehingga menghasilkan fitur yang berperan atau kurang berperan dalam proses klasifikasi. Fitur yang kurang berperan dapat tidak digunakan dalam proses klasifikasi. Peranan sebuah fitur dalam klasifikasi dapat dikalkulasi dengan suatu rumusan, dalam penelitian ini digunakan metode gain ratio untuk mendapatkan bobot atribut dalam proses klasifikasi. Gain ratio pengembangan dari information gain yang digunakan untuk membangun pohon keputusan (decision tree). Metode seleksi fitur gain ratio menggunakan pendekatan seleksi fitur filter, karena dilakukan terlepas dari mesin klasifikasi. Mesin klasifikasi yang digunakan adalah Artificial Neural Network Particle Swarm Optimization (ANNPSO), dimana mesin ini menggabungkan konsep kecerdasan buatan saraf manusia (neural networks) dengan kecerdasan hewan (particle swarm intelligence). Metode yang diusulkan akan diuji coba terhadap 3 dataset UCI, antara lain iris, breast Wisconsin dan dermatology. Uji coba dengan variasi nilai batas gain ratio fitur menunjukkan nilai akurasi yang cukup tinggi terhadap 3 dataset yaitu 97,6%, 96,41%, dan 99,29%. Kata kunci: Gain Ratio, klasifikasi suara terbanyak, ANNPSO biclassifier.. Abstract Feature selection is an important step in classification process, it analyze the data (features) resulting role each features in the classification process. The role of a feature in the classification can be calculated with a formula, in this research the gain ratio method is used to get the attribute/feature weights. Gain ratio is the development of information gain. Information gain is used to form the induction of decision tree (ID3). Gain ratio feature selection method using the filter feature selection approach, as is done separately from classification engine. Classification engine used is Voting of Artificial Neural Network Particle Swarm Intelligence (ANNPSO) Biclassifier, where this engine combines the concept of artificial intelligence human nerve (neural network) with animal intelligence (particle swarm intelligence). The proposed method is tested on three datasets of UCI, including iris, breast wisconsin and dermatology. Trials with the variation of the boundary gain ratio feature showed a high accuracy of the three datasets are 97.6%, 96.41%, and 99.29%. Keywords: Gain Ratio, Voting Classification, ANNPSO Biclassifier
Modifikasi Peta Permainan Bertema Dungeon Crawler Menggunakan Algoritma Genetika Dengan GMS2 Vinza Hedi Satria; Fetty Tri Anggraeny; Pratama Wirya Atmaja
Journal of Animation and Games Studies Vol 8, No 1 (2022): April 2022
Publisher : Institut Seni Indonesia Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24821/jags.v8i1.5068

Abstract

Gim atau permainan digital ( Video Game ) memiliki berbagai macam aspek yang mempengaruhi didalamnya, aspek-aspek ini seperti gameplay, visual, story dan banyak aspek lainnya. Dalam tema permainan tertentu, terkadang sebuah aspek lebih menonjol daripada aspek lainnya. Dungeon Crawler adalah tema gim yang menonjolkan aspek gameplay nya berupa petualangan yang berbeda-beda selama permainan, sebuah kesulitan baru pada sisi pengembang gim ( Developer ) saat hendak mengembangkan sebuah gim Dungeon Crawler. Dikarenakan gim lebih mengutamakan aspek petualangan, developer diharuskan menciptakan banyak area permainan agar pemain tidak bosan, sedangkan bila diharuskan merubah satu-per-satu akan memakan waktu yang lama, untuk itu diperluhkan cara untuk membuat sebuah area berubah-ubah bentuknya. Pada akhir penelitian ini di ajukan sebuah cara melakukan modifikasi peta gim Dungeon Crawler menggunakan algoritma optimisasi, Genetika.Selain aplikasi, rumus yang digunakan juga akan dibuktikan dengan melakukan modifikasi terhadap rumus
Kolaborasi Pemasaran Digital Menggunakan Media Sosial dan Marketplace untuk Meningkatkan Produktivitas UMKM Fetty Tri Anggraeny; Dedin F. Rosida; Wahyu S.J. Saputra; Handoyo Prasetyo
Jurnal Nasional Pengabdian Masyarakat Vol. 2 No. 2 (2021): Jurnal Nasional Pengabdian Masyarakat
Publisher : Training & Research Institute - Jeramba Ilmu Sukses

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47747/jnpm.v2i2.486

Abstract

Digital marketing is currently growing rapidly. The COVID-19 pandemic has increasingly triggered the acceleration of digital marketing, especially for SME (Small and Medium Entreprise). The growth of social media users and marketplace users both as buyers and sellers has also soared. Today's society is starting to shift to cashless transactions. Both social media and marketplace have advantages that can be collaborated as digital marketing. Social media with diverse users and a marketplace that offers easy online store management and promo programs. The collaboration of these 2 digital tools is able to increase the productivity of UMKM
The Need for Information Technology to Support Bela Negara on UPN “Veteran” of East Java M. Syahrul Munir; Fetty Tri Anggraeny
Nusantara Science and Technology Proceedings International Seminar of Research Month Science and Technology in Publication, Implementation and Co
Publisher : Future Science

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Abstract

Universitas Pembangunan Nasional Veteran of East Java has a mission to become an ”Unggul berkarakter Bela Negara” university. Bela Negara is a determination, attitudes and behavior of citizens which are done regularly, thoroughly and integrated. It was inspired by the love of the nation of Republic of Indonesia based on Pancasila and UUD 1945 in ensuring the life of nation and state. As a campus that is committed to apply the concept of Bela Negara characters, UPN “Veteran” of East Java is always working so that the academic community (Employees and Students) can understand and interpret the concept of Bela Negara. In this research we propose to apply Bela Negara in a mobile application using waterfall method. To perform needs analysis, data/information is collected through questionnaires. Questionnaires uses 5 variations of values Strongly Agree (SA), Agree (A), Less Agree (LA), Disagree (D), and Strongly Disagree (SD). Based on result of requirement analysis using questionnaire instrument from 51 respondents obtained 29,41% SA, 58,82% A, 11,76% LA, 0% D, and 0% SD stated that Bela Negara can be applied to information technology.
Analysis of Supervised Learning Methods on Artificial Neural Networks Fetty Tri Anggraeny; Intan Yuniar Purbasari; Radical Rakhman
Nusantara Science and Technology Proceedings 4th International Seminar of Research Month
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2019.0418

Abstract

Artificial intelligence applications are now highly developed, where hardware is given the ability to think and act like humans. One method for building artificial intelligence applications is artificial neural networks (ANN). ANN is currently highly developed in areas of application that start as diverse as classification, prediction, games, robots, IoT, object/sound recognition, and so on. Unlike the human brain, which is designed to solve many problems, ANN can only solve a specific problem. To make ANN intelligent, learning methods are needed to train ANN to be able to solve certain problems with a good degree of accuracy. There are 3 learning methods commonly used to make ANN intelligent, are perceptron, backpropagation, and extreme learning method. Perceptron is the simplest learning method for the simplest ANN structure. Backpropagation was found to answer the weaknesses of perceptron which cannot solve nonlinear problems. And finally ELM exists to overcome the problem of long computational time in perceptron and backpropagation learning. This research will conduct an analysis of the three ANN learning methods using several problems. Problems used include AND logic, OR logic, XOR logic, iris datasets and MNIST digit handwritten digits. Because the ANN learning method is based on random parameters, each case will be trained 10 times for each method. After testing it is concluded that ELM has a very good speed with a pretty good degree of accuracy.
Soil Movement Monitoring System Based on IoT using Fuzzy Logic Mohammad Idhom; Fetty Tri Anggraeny; Gideon Setya Budiwitjaksono; Zainal Abidin Achmad; Munoto
Internasional Journal of Data Science, Engineering, and Anaylitics Vol. 1 No. 2 (2021): International Journal of Data Science, Engineering, and Analytics Vol 1, No 2,
Publisher : International Journal of Data Science, Engineering, and Analytics

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (833.846 KB) | DOI: 10.33005/ijdasea.v1i2.14

Abstract

Landslide is one of the disasters that often occurs in several areas in Indonesia, especially in hilly areas, valleys, and volcanoes. Soil conditions in some parts of Indonesia are classified as prone to landslides. The latest data from the Central Statistics Agency related to landslides in 2018 occurred as many as 10,246 events with the highest incidence on the island of Java IoT-based ground motion monitoring using fuzzy logic is a tool that is able to detect ground movements that can trigger landslides. The manufacture of this tool is based on the ig-norance of the community in predicting the occurrence of landslides. To avoid this, an early warning tool is needed in the delivery of information that is easily understood by anyone, especially the public. This tool consists of a Microcontroller, Weather Sensor, Rain Sensor, Ground Movement Sensor, and GSM Shield as well as programs to make it hap-pen. This system was created to provide information to the public directly in land-slide-prone areas. With this early warning system, it is hoped that people who are in landslide-prone loca-tions will know more quickly and can monitor the condition of landslide-prone areas so that they will be more alert to possible dangers that come suddenly, especially fatalities, can be minimized. Through this tool can also be known when the weather is cloudy, raining as well as movement or signs of ground movement, can be monitored and monitored automatically. directly by everyone from mobile phones through "SIPEGERTA" Land Movement System in Wonosalam District, Jombang Regency
Peningkatan Ketrampilan Kreativitas Desain Grafis Digital Siswa SMU Menggunakan Aplikasi CANVA pada Ponsel Pintar Fetty Tri Anggraeny; Henni Endah Wahanani; Fawwaz Ali Akbar; Mohamad Ilham Prasetyo Raharjo; Sandy Rizkyando
Journal of Appropriate Technology for Community Services Vol. 2 No. 2 (2021)
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/jattec.vol2.iss2.art5

Abstract

During the COVID-19 pandemic, teaching and learning activities must be carried out online from home. The development of technology today really helps the online teaching and learning process, there are many tools / software that can be used. Tools / software commonly used in online teaching and learning activities are Ms. Word, Ms. Power Point, and Virtual Lab. Another impact of technological developments coupled with pandemic conditions has led to more interactions between humans being carried out online through internet intermediaries on cellphones or computers. Currently cellphones do not only function as a medium of communication, some work that was previously completed using a computer / laptop can now be completed using a smart phone. So that cellphones can be used for more positive activities and support the teaching and learning process, sharing is carried out with students through sharpening design creativity through mobile applications on smart phones. In this activity, students hone graphic design skills using the CANVA application to support the teaching and learning process. The enthusiasm of students is quite high, as evidenced by the work produced in the form of personal profile designs, extracurricular activities and logos. Students can practice well the material presented. The school welcomes this activity, and wants to form an extracurricular Graphic Design at SMA Dharma Wanita so that it becomes a forum for student creativity in graphic design.
Undergraduate Thesis Supervisor Recommendation Based On Text Similarity Fetty Tri Anggraeny; Intan Yuniar Purbasari; Eka Fitria Wulandari
Prosiding International conference on Information Technology and Business (ICITB) 2019: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 5
Publisher : Proceeding International Conference on Information Technology and Business

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Abstract

The measurement of the similarity of texts is very extensive research. The most common implementation is finding documents that match the search keywords. And the current implementation is to measure the plagiarism of scientific documents. In the academic field, the topic of undergraduate students needs to be done an examination of similarity, in addition to knowing the title of the previous thesis that is similar, also to provide recommendations for suitable supervisors. In this study, we propose a system that can help undergraduate students determine supervisors based on the undergraduate thesis title to be proposed. The experimental results show that the proposed method is quite good as a recommendation system for undergraduate thesis supervisors with an accuracy of 80% in the field of research and 87.5% in the field of lecturer research.Keywords: Text similarity, Dice Coefficient, Supervisor Recommendation.
Relief Feature Selection and Bayesian Network Model for Hepatitis Diagnosis Fetty Tri Anggraeny; Intan Yuniar Purbasari; Evi Suryaningsih
Prosiding International conference on Information Technology and Business (ICITB) 2017: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 3
Publisher : Proceeding International Conference on Information Technology and Business

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Abstract

A doctor diagnose a disease by evaluating patient condition or by comparing with another patient that have similar conditions or symptoms. In computer science, this task can be done by a computer program that included intelligent algorithm in it. Some disease have similar symptoms, such as typhoid fever, hepatitis, and dengue fever. Based on UCI database there are 17 symptoms of Hepatitis that may be similar with other disease, so it needs a method to find the major symptoms. In this research, we proposed hepatitis diagnose using statistic Bayesian network and find major symptoms using ReliefF algorithm. ReliefF algorithm resulting 4 majority symptoms and used to constructing Bayesian Network. ReliefF and Bayesian Network have 76,8% accuracy, 76,5% precision, and 100% recall for 69 test data. Keywords: Hepatitis, ReliefF, Bayesian Network, Probabilistic.
IMPLEMENTASI FUZZY-MOORA DALAM SISTEM PENDUKUNG KEPUTUSAN PENERIMA BANTUAN PROGRAM KELUARGA HARAPAN (PKH) Meike Hardianti; Fetty Tri Anggraeny; Afina Lina Nurlaili
Jurnal Informatika dan Sistem Informasi Vol. 3 No. 2 (2022): Jurnal Informatika dan Sistem Informasi (JIFOSI)
Publisher : Fakultas Ilmu Komputer Universitas Pembangunan Nasional Veteran Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/jifosi.v3i2.481

Abstract

Program Keluarga Harapan (PKH) merupakan suatu program penanggulangan kemiskinan yang memberikan bantuan secara tunai kepada Rumah Tangga Sangat Miskin (RTSM/KSM) jika mereka memenuhi persyaratan yang telah ditentukan.[1] Karena banyak program Keluarga Harapan yang tidak tepat sasaran, dimana masih banyak masyarakat yang memenuhi syarat, tetapi tidak akan mendapatkan dana bantuan PKH.[1] Hal ini dikhawatirkan terjadi di Desa Sumberaji karena proses program bantuan yang masih dilakukan secara manual. Oleh karena itu, dibutuhkan adanya sistem pendukung keputusan untuk memberikan rekomendasi kepada staf desa dalam menentukkan penerima bantuan. Metode yang digunakan adalah metode fuzzy- MOORA karena kombinasi metode fuzzy-MOORA fleksibel secara rinci serta praktis dalam membuat suatu keputusan.[2]
Co-Authors Abdul Aziz Naufal Farizqi Abu Musa, Hammam Bara Ach.Diki Prasetyo, Ach.Diki Prasetyo Achmad Junaidi Achmad Junaidi, Achmad Adyani, Adelia Putri Afina Lina Nurlaili Agung Mustika Rizki Agung Mustika Rizki, Agung Mustika Agussalim Ahmad Sofian Aris S Akbar, Fawwaz Ali Akbar, Iqbal Imani Khoirul Alfian Bima Prastyo Alfiani, Fina Alibasyah, Fahmi Nugroho Alviriza Ramadhan, Muhammad Amalia, Nadhia Rizqy Anabella, Linda Happy Andreas Nugroho Sihananto Andreas Nugroho Sihananto Aprillian, Farrel Archamul Fajar Pratama Ariadi, Kuncoro Atmojo, Unggul Widi Ayu Puspita, Nabila Ayuningrum, Agnes Athalia Azira, Volem Alvaro Azizi, Abrar Bachtiar Riza Pratama Basuki Rahmat Basuki Rahmat Masdi Siduppa Cahyas, Jerry Ramadhani Dafauzan Bilal Syaifulloh Dedin F. Rosida Dedin Finatsiyatull Rosida Dianto, Alfian Rachmad Dimara, Denis Lizard Sambawo Dimas Saputra Dita Atasa Diyasa, I Gede Susrama Mas Dyan Agustin Dzulqornain, Muhammad Rif'an Eka Fitria Wulandari Erik evranata Pardede Eva Yulia Puspaningrum Evi Suryaningsih Fadillah, Mochamad Nor Fahmi Anugrah Danendra Faisal Muttaqin Farkhan, Farkhan Faturrahman Rahardjo, Iqbal Raihan Firjatullah, Adika Firza Prima Aditiawan Fitriansyah, Muhammad Daffa Gideon Setya Budiwitjaksono Habibi, Faisal Wildan Hadi, I Putu Mahardika Cahyana Handono, Stevanus Frangky Handoyo Prasetyo Hartanti, Syafrida Maulina Hasan, Ferry Hasby Bik, Ahmad Hasya, Astrini Hadina Hatta, Heliza Rahmania Henni Endah Wahanani Hilal, Muhammad Hsya, Astrini Hadina I Gede Susrama Masdiyasa Intan Yuniar Purbasari Intan Yuniar Purbasari, Intan Yuniar Irawan, Nauval Maulana Rizky Isworo, Muhamad Raihan Ramadhani Julianto Dwi Putra, Rico Khairil Amin, Mohammad Khonsa Salsabila Kusuma, Nugraha Varrel Made Hanindia Prami Swari Mahardika Virgo Wuryantoro Manalu, Daniel Maulana, Hendra Maulana, Rafie Ishaq Meike Hardianti Merdin Risalul Abrori Mochamad Nor Fadillah Mohamad Ilham Prasetyo Raharjo Mohammad Idhom Monica Widiasri, Monica Muhammad Ahsanur Rafi Muhammad Alfin Jimly Asshiddiqie Muhammad Alfyando Muhammad Dawam Fakhri Muhammad Muharrom Al Haromainy Munoto Mustika Rizki, Agung Mutoffar, Muhamad Malik Naila, Amelia Maslaqun Nashrulloh, Muhammad Atay Nadhif Nicholas, Sandy Novarina, Fitria Nugroho Sihananto, Andreas Nur Aini Ersanti Nurfiana Panjaitan, Tompo Pradana, Marchel Adias Pradipta, M. Najmi Arya Prastya, Ade Fathoni Pratama Wirya Atmaja Pratama Wirya Atmaja Pratama, Muhammad Lutfi Pratiwi, Nisa Putra, Chrystia Aji Putra, Riza Satria Putri, Shintyadhita Wirawan Radical Rakhman Rafie Ishaq Maulana Rama Andika Jorgie Rangga Widiasmara Rayhan Rizal Mahendra Retno Mumpuni Retno Mumpuni Reza Aminullah Ridho Aji Pangestu Ronggo Alit Salsabilah, Rafani Bardatus Sandy Rizkyando Sani, Yusmia Washiatus Sanjaya, Alvian Dwi Sankalla, Sabda Saputra, Rendi Cahya Satria, Ramadhan Dani Satria, Vinza Hedi Septyono, Muhammad Bagas Setianto, Christian Wahyu Shalehuddin Albawani, Raden Sholihuddin, Muhammad Thoriq Siagian, Pangestu Sandya Etniko Singgih Putra Pratama Singgih Putra Pratama Siregar, Talitha Aurora Nadenggan Sri Kuswayati Subairi Subairi Sugiarto Sukandar, Ivan Christopher Sulthan Ahmad Sunarko, Victor Immanuel Supangkat, Dwiki Aditama Suryaningsih, Evi Suwito Suwito Syahrul Munir Syahrul Munir Syaifulloh, Dafauzan Bilal Tarsinah Sumarni Taufiqqurrahman, Husain Taufiqurrahman, Rahmadany Fahreza Thariq, Muhammad Fadli Al Titin Sumarni Trianingsih, Arini Vita Via, Yisti Wahyu S.J. Saputra Wardhani, Adil Sandy Yisti Vita Via Yisti Vita Via Yuniar Purbasari, Intan Zainal Abidin Achmad