Article Per Year (5 Year)
p-Index From 2021 - 2026
8.019
P-Index
This Author published in this journals
All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Informatika dan Teknik Elektro Terapan Journal of Information Systems Engineering and Business Intelligence Jurnal Informatika Upgris Jurnal Sains dan Informatika JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Anterior Jurnal Jurnal Pengembangan Riset dan Observasi Teknik Informatika Jurnal Nasional Komputasi dan Teknologi Informasi TELEKONTRAN: Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Technologia: Jurnal Ilmiah Informatika Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Teknologi Informatika dan Komputer Bulletin of Computer Science Research Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Jurnal Minfo Polgan (JMP) Konstelasi: Konvergensi Teknologi dan Sistem Informasi Jurnal Atma Inovasia JOINTECOMS (Journal of Information Technology and Computer Science) J-ENSITEC (Journal of Engineering and Sustainable Technology) Diteksi : Jurnal Pengabdian Kepada Masyarakat Jurnal Nasional Teknologi Informasi dan Aplikasinya Ignite: Journal Islamic Global Network for Information Technology and Entrepreneurship
Viktor Handrianus Pranatawijaya
Universitas Palangka Raya
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Social Sciences Transportation Other

Published : 118 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 118 Documents
Search

 4   5   6   7   8 
Pengembangan Perangkat Lunak Generate File Data Kehadiran Pegawai Universitas Palangka Raya Putu Bagus Adidyana Anugrah Putra; Viktor Handrianus Pranatawijaya; Widiatry Widiatry; Nova Noor Kamala Sari
Anterior Jurnal Vol 18 No 2 (2019): Anterior Jurnal
Publisher : ​Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (478.341 KB) | DOI: 10.33084/anterior.v18i2.809

Abstract

Science and technology are experiencing very rapid development, one of them in the field of web applications whose growth has been increasing rapidly. Staffing Department of Universitas Palangka Raya has used applications to manage employee data, one of them is the employee attendance list. However, the management is still not efficient because staff from the staffing department cannot directly enter employee attendance status such as leave, permission, and illness directly on attendance data processors because they have to wait for data retrieval from the electronic attendance machine at the end of the month so that the process of making attendance recapitulation runs slowly. Software development in generating a file of the attendance data of Universitas Palangka Raya employees using the Waterfall software development method. The first step is to carry out a needs analysis of the system created, including library research, data collection, consultation, and design. Based on this analysis, the system design was created that uses Data Flow Diagrams, and Entity Relationship Diagrams, as the system design that will be created. The next step is writing the program code. In writing program code, the programming languages used are HTML, CSS, and JavaScript as interface designs supported by PHP and MySQL programming languages for data storage and exchange. In the next step, testing is done to test the functionality of the application that has been made using the black box method. This software will be a tool to generate files on attendance data for Universitas Palangka Raya employees.
Penerapan Skala Likert dan Skala Dikotomi Pada Kuesioner Online Viktor Handrianus Pranatawijaya; Widiatry Widiatry; Ressa Priskila; Putu Bagus Adidyana Anugrah Putra
Jurnal Sains dan Informatika Vol. 5 No. 2 (2019): Jurnal Sains dan Informatika
Publisher : Teknik Informatika, Politeknik Negeri Tanah Laut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34128/jsi.v5i2.185

Abstract

Proses pengumpulan data dalam penelitian survey merupakan hal yang sangat penting. Penelitian berbasis survey membutuhkan instrumen pengumpulan data berupa kuesioner. Selama ini peneliti atau surveyor melakukan pengumpulan data secara manual yaitu dengan mencetak kuesioner dan menyebarkannya dengan mendatangi satu persatu responden. Hal ini memakan waktu yang lama dan biaya yang besar sehingga menjadi masalah utama yang dihadapi dalam pengumpulan data dengan kuesioner. Untuk mengatasi masalah tersebut dibutuhkan suatu aplikasi yang dapat membantu surveyor dalam melakukan survey secara online. Penelitian ini bertujuan untuk merancang dan membangun aplikasi kuesioner online berbasis web dengan meggunakan metode waterfall dengan tahapan analysis, design, implementation, testing dan maintanance. Pemodelan sistem dan basis data meggunakan Data Flow Diagram (DFD) dan Entity Relationship Diagram (ERD). Bahasa Pemrograman yang digunakan yaitu, HTML, PHP, CSS, Java Script, dan untuk databasenya menggunakan MySQL. Skala pengukuran yang digunakan dalam perancangan kuesioner menggunakan skala likert dan skala guttman. Aplikasi ini memiliki 3 hak akses yaitu, admin, surveyor dan pengunjung/responden. Dengan adanya aplikasi diharapkan ini proses pengumpulan data dengan kuesioner dapat lebih efektif dan efisien.
APLIKASI MOBILE ASSISTANT JURUSAN TEKNIK INFORMATIKA UNIVERSITAS PALANGKA RAYA Nova Noor Kamala Sari; Viktor Handrianus Pranatawijaya; Novera Kristianti; Ressa Priskila; Septian Geges
Jurnal Teknologi Informasi: Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Vol. 16 No. 2 (2022): Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Inform
Publisher : Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47111/jti.v16i2.5372

Abstract

The process of attendance information that already exists at Palangka Raya University Informatics Engineering cannot be monitored or is still sharing manually using social media, especially such as informing the presence / presence of lecturers on campus for consultation or signature documents. The purpose of this research is to design and build a Mobile Assistant Application for Informatics Engineering at Palangka Raya University, whose development is based on Location Based Service using a prototype methodology with stages of Communication, Quick plan, Modeling Quick Design, Prototype Formation, Deployment Delivery & Feedback. The modeling of the system uses Java Android object-oriented programming and structured for web applications using the programming language using PHP database using MySQL. From the research conducted, the writer implements the results of the research into the Mobile Assistant Application of the Informatics Engineering Department of Palangka Raya University where there are features of lecturer attendance, class schedules and practicum, as well as assignments. The application of Location Based Service in this application is applied to the Google Map API with geofencing, the central point of the Informatics Engineering department is made a marker that generates a radius where if the application user enters into each radius it will produce a room information notification and send an update of the data to the database as the presence status lecturer.
IMPLEMETASI APLIKASI MOBILE PENGENALAN KAMPUS PADA MASA PANDEMI COVID-19 Putu Bagus Adidyana Anugrah Putra; Viktor Handrianus Pranatawijaya; Efrans Christian; Widiatry Widiatry
Jurnal Teknologi Informasi: Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Vol. 16 No. 2 (2022): Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Inform
Publisher : Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47111/jti.v16i2.5416

Abstract

PKKMB is a place to raise awareness of the importance of understanding globalization and the industrial revolution 4.0. The introduction of the campus canbe done by introducing the rooms on campus by providing a location point usingmaps so that it can make it easier to identify the location of the rooms on campus. The research method used is determining the scope of research, consulting, studying related literature, and using the Extreme Programming method as asoftware development method. This application uses the Mobile platform and theJavaScript programming language with the React Native framework.
PEMANFAATAN API INDODAX PADA PERDAGANGAN ASET DIGITAL CRYPTO BERBASIS WEBSITE Novera Kristianti; Viktor Handrianus Pranatawijaya
Jurnal Teknologi Informasi: Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Vol. 17 No. 1 (2023): Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Inform
Publisher : Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47111/jti.v17i1.6709

Abstract

The development of information technology today originated from advances in the field of computerization by giving birth to many new technologies such as block chain technology. One of the products born of block chain technology is cryptocurrency. Cryptocurrency is a digital currency that has the main characteristic of being transparent because it is a public ledger, all transactions are recorded online so that anyone can see where and where the coins are flowing from and where. To assist in the process of trading, an application is needed that can automatically carry out trading activities. The application that was built as a solution to this is a crypto marketplace website using the waterfall method in system design, starting from analyzing software needs, design, implementation, and testing. The results show that this system has successfully implemented the Indodax API which is used to see prices and other information about the bitcoin market and can buy and sell bitcoin ups and downs in crypto prices in the market, and can see information in the form of market activities, BTC / IDR market charts, and can even see transaction history.
PENERAPAN TEKNOLOGI AI DARI GEMINI UNTUK MENINGKATKAN LAYANAN PEMINJAMAN BUKU ONLINE PADA APLIKASI COZYBOOK Martha lena; Nela Puspita Florensia; Yulia Patimah; Viktor Handrianus Pranatawijaya; Nova Noor Kamala Sari
Jurnal Informatika dan Teknik Elektro Terapan Vol 12, No 3 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i3.4396

Abstract

Penelitian ini bertujuan untuk mengembangkan aplikasi peminjaman buku online bernama CozyBook yang berbasis mobile. Aplikasi ini menggunakan teknologi Flutter dan mengintegrasikan API dari proyek website serta Artificial Intelligence (AI) dari Gemini. CozyBook menawarkan solusi bagi keterbatasan ruang fisik perpustakaan tradisional dan memungkinkan pengguna untuk mengakses layanan perpustakaan digital dengan mudah melalui perangkat mobile. Implementasi AI dalam CozyBook bertujuan untuk meningkatkan pengalaman pengguna dan efektivitas layanan peminjaman buku online. Fitur AI ini mencakup chatbot untuk layanan pengguna. Dengan demikian, CozyBook diharapkan dapat menjadi alternatif yang efisien dan inovatif untuk sistem peminjaman buku konvensional, serta mendorong minat baca di kalangan masyarakat.
Kecerdasan Buatan dalam Permainan Tic-Tac-Toe Melalui Algoritma Minimax dengan Optimasi Alpha-Beta Pruning Nadya Revelin Putri; Novia Fitriani; Viktor Handrianus Pranatawijaya; Ressa Priskila
Jurnal Minfo Polgan Vol. 13 No. 1 (2024): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v13i1.13594

Abstract

Permainan tic tac toe, juga dikenal sebagai "X dan O," telah menjadi permainan klasik yang populer di seluruh dunia. Namun, dalam permainan tradisional interaksi dan konektivitas terbatas. Untuk mengatasi masalah tersebut, teknologi telah dimanfaatkan dengan menerapkan kecerdasan buatan (AI) dalam permainan ini. Algoritma Minimax dan optimasi Alpha-Beta Pruning digunakan untuk memungkinkan AI mengambil keputusan yang cerdas dalam permainan. Penelitian ini mengevaluasi efisiensi dan kualitas permainan yang dihasilkan oleh AI dengan dan tanpa optimasi Alpha-Beta Pruning. Hasil menunjukkan bahwa penggunaan optimasi Alpha-Beta Pruning meningkatkan efisiensi pengambilan keputusan AI tanpa mengorbankan kualitas permainan, menghasilkan permainan yang seimbang dan kompetitif di mana kedua pemain memiliki peluang yang sama untuk meraih kemenangan. Selain itu, penelitian ini mencatat bahwa AI mampu meraih kemenangan sebanyak 80% pada pertandingan AI VS HUMAN, di mana agen berperan sebagai ‘X’ dan mengambil langkah pertama serta menyusun strategi untuk melawan manusia. Implementasi ini mengungkapkan bahwa AI mampu mempelajari pola permainan manusia dan mengadaptasi strateginya secara dinamis selama permainan berlangsung. Hal ini menambah dimensi baru dalam pengalaman bermain tic tac toe, di mana kecerdasan buatan bukan hanya menjadi lawan yang tangguh, tetapi juga mampu berinteraksi dengan pemain manusia secara dinamis dan adaptif. Dengan demikian, penggunaan kecerdasan buatan dalam permainan tic tac toe memiliki potensi untuk meningkatkan kualitas dan pengalaman bermain, membuka peluang baru untuk eksplorasi dan inovasi dalam pengembangan permainan.
ANALISIS SENTIMENT KOMENTAR VIDEO YOUTUBE “EPIC RAP BATTLE OF PRESIDENCY 2024” MENGGUNAKAN ALGORITMA NAÏVE BAYES & SVM Gavin Berylian Josepto; Rafif Dhia Yusrana; Marvin Donald Richardo Aronggear; Viktor Handrianus Pranatawijaya; Ressa Priskila
J-ENSITEC Vol. 10 No. 02 (2024): June 2024
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/jensitec.v10i02.9210

Abstract

Sentiment analysis of YouTube video recordings has become important in this increasingly technologically advanced era to understand users' reactions and opinions on various topics, including politics. Rapfight videos, especially those related to the presidential election, are one type of content that often attracts attention. This research uses the Naïve Bayes algorithm to assess the sentiment of comments on the video "Epic Rap Battle of Presidency 2024" on the YouTube site. The algorithms used in this research are Naïve Bayes Classifier and Support Vector Machine (SVM). There are five processes in this research, namely collecting YouTube comment data, preprocessing, labeling, classification, implementation and testing. From 3650 comment data on YouTube regarding the video "Epic Rap Battle of Presidency 2024" based on the results of the analysis, it was found that 31% of the comments were positive, 7% of the comments were negative and 62% of the comments were neutral. The accuracy results using the Naïve Bayes Classifier algorithm were 84.82% and the accuracy results using the Support Vector Machine (SVM) algorithm got the best results at 93.3%.
IMPLEMENTASI GEMINI AI DALAM PENGEMBANGAN APLIKASI E-COMMERCE MOBILE GENERATE DESKRIPSI PRODUK Handoko, Rifky Mustaqim Handoko; Wahyuni Putra; Ryan Delon Pratama; Nova Noor Kamalasari; Viktor Handrianus Pranatawijaya
ProTekInfo(Pengembangan Riset dan Observasi Teknik Informatika) Vol. 11 No. 1 (2024)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/protekinfo.v11i1.8595

Abstract

Abstract— In the rapidly evolving digital era, e-commerce has become a crucial industry for effectively reaching consumers. This articlediscusses the implementation of artificial intelligence (AI) technology, specifically Gemini AI, in developing a mobile e-commerce applicationusing Flutter SDK. AI technology is utilized to automatically generate product descriptions based on user selections, enhancing efficiency anduser experience. The integration of Gemini AI API enables the application to provide informative and engaging product information. Theresearch findings indicate that the use of AI technology in e-commerce can add value in effectively and efficiently presenting productinformation to users, providing recommendations for the future development of e-commerce applications.Keywords— Artificial Intelligence, Product Description, Mobile, Flutter, Gemini
Analisis Kualitas dan Penerapan Software Quality Assurance pada Web K24klik Menggunakan Model ISO/IEC 9126 -, Rendy Swanda Narastu; Sadarman Zai; Viktor Handrianus Pranatawijaya; Widiatry
ProTekInfo(Pengembangan Riset dan Observasi Teknik Informatika) Vol. 11 No. 1 (2024)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/protekinfo.v11i1.8601

Abstract

The purpose of this research is to evaluate the implementation and quality analysis of Software Quality Assurance (SQA) on the K24KLIK website using the ISO/IEC 9126 Model, as well as to study the concepts of software quality, SQA, and the ISO/IEC 9126 model, and to collect data through direct observation, document analysis, and direct testing of the website. After the data was collected, software features such as functionality, reliability, usability, efficiency, and portability were assessed. The results show that K24KLIK performs well in some respects, but performance, user experience, and reliability still need to be improved. SQA improves software quality, but requires constant supervision and evaluation and continuous improvement. So, to improve the quality of K24KLIK software, improvements and optimizations need to be made.
Co-Authors -, Rendy Swanda Narastu ., Widiatry ., Widiatry ., Yukandri Admi Ruth Sinana Adonis Jethro Patianom Agus Sehatman Saragih Agustin, Ria Ahmad Abdul Hadi Ainah, Saripah Alfian Rizaldi Alwinda Megawati Yogiswari Amazon, Firlo Anak Agung Istri Sri Wiadnyani Andini, Wafik Angel, Aprilia Christyana Tri Anugrah Putra, Putu Bagus Adidyana Anugrahnu, Dian Putra Aprilia, Salsabila Aprilian, Rivan Aprimikardo, Aprimikardo Arya Bima Mohammad Heriansyah Aryabimo, Agsa Rakha Baghaskara, Ghiraldi Bernady, Delon Candra Wijaya, Candra Candrawati, Nuri Christie, Sagita Amaria Christina, Sherly Debora, Jessica Kurnia DWI SURYANTO Edi Rusadi Efrans Christian Fajari, Rizqi Farhani Farhani Farhani, Farhani Felicia Sylviana Ferdinan, Bryan Desmonda Firdo, Daud Firlo Amazon Florensia, Nela Puspita Frira Sesilia Gavin Berylian Josepto Gunawan, Vincentius Abdi Handoko, Rifky Mustaqim Handoko, Rifky Mustaqim Handoko Haridjaya, Ezra Janitra Hariz Kurniawan Hefi Kristianto Hendra Yulianto Hidayat, Febrian Nur Jama, Luniko Jovito, Felik Rolantius Kalawa Putri, Maria Ramanda Kelvin Wijaya, Kelvin Khotimah, Yusie Nur Chusnul Kristianti, Novera Kristianto, Hefi Lena, Martha Leonardo, Tomas Lisa Lisa Lisa Lisa, Lisa Magnus, Thomas Zugildo Maharani, Audry Marhayu Marhayu Marhayu, Marhayu Martha lena Marvin Donald Richardo Aronggear Masitoh, Reina Dewi Maulana, Ferdy Afriza Muhamad Rafliansyah Nadya Revelin Putri Nasution, Annio Indah Lestari Natalius Natalius Natalius, Natalius Nela Puspita Florensia Nelda, Lia Nova Noor Kamala Sari Nova Noor Kamalasari Novia Fitriani Nurdin Nurdin Patianom, Adonis Jethro Patimah, Yulia Permana, Ananda Aji Ivan Pratama, Ferdha Alif Priskila, Ressa Puspitarani, Siska Putra, Bima Faru Rochkim Putra, Putu Bagus A.A. Putra, Putu Bagus Adidyana Anugrah Putra, Rholand Deo Eka Putra, Wahyuni Putri, Oktaviani Enjela Rafif Dhia Yusrana Rahman, Resha Ananda Ramadhani, Aditya Ananda Rendy Saputra Ressa Priskila Ressa Priskilla Rinaldi Rizwar Rizaldi, Alfian Rizky Aditya Ronaldo, Deddy Rusadi, Edi Ryan Delon Pratama Sadarman Zai Sahay, Abertun Sagit Saputra, Ferry Saputra, Muhammad Dwi Saputra, Rizal Wahyu Saputra, Septian Dwi Savero, Joshua Evan Septian Geges Septian Geges Sriyanto, Naufal Ihsan Syahrohim, Imam Tanciang, Tanciang Tri Amri Wijaya Tryastie, Melisa Wahyuni Putra Wandri Bungkam Wandri Bungkam Widiatry Widiatry, Widiatry Widyasari, Yolantya Wijaya, Tri Amri Willy Azrieel Yogiswari, Alwinda Megawati Yosepha, Elsa Yulia Patimah