Article Per Year (5 Year)
p-Index From 2021 - 2026
5.819
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering Tekno : Jurnal Teknologi Elektro dan Kejuruan JURNAL ECONOMIA Jurnal Informatika dan Teknik Elektro Terapan Jurnal Informatika Upgris Journal of Information Technology and Computer Science JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Journal of Information System, Applied, Management, Accounting and Research Jurnal Mantik ILKOMNIKA: Journal of Computer Science and Applied Informatics CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Jifosi Nusantara Science and Technology Proceedings Jurnal Ilmiah Teknologi Informasi dan Robotika International Journal of Data Science, Engineering, and Analytics (IJDASEA) ALINIER: Journal of Artificial Intelligence & Applications Abdimas Altruis: Jurnal Pengabdian Kepada Masyarakat JUSIFOR : Jurnal Sistem Informasi dan Informatika JEECS (Journal of Electrical Engineering and Computer Sciences) Inspiration: Jurnal Teknologi Informasi dan Komunikasi STATISTIKA Journal of Technology and System Information Informasi interaktif : jurnal informatika dan teknologi informasi Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK) Prosiding Seminar Nasional Ilmu Sosial dan Teknologi (SNISTEK)
Andreas Nugroho Sihananto
Department Of Informatics, Universitas Pembangunan Nasional “Veteran” Jawa Timur, Surabaya 60294, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Social Sciences Other

Published : 47 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 47 Documents
Search

 1   2   3   4   5 
Rainfall Forecasting Using Backpropagation Neural Network Sihananto, Andreas Nugroho; Mahmudy, Wayan Firdaus
Journal of Information Technology and Computer Science Vol. 2 No. 2: November 2017
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (390.659 KB) | DOI: 10.25126/jitecs.2017229

Abstract

Rainfall already became vital observation object because it affects society life both in rural areas or urban areas. Because parameters to predict rainfall rates is very complex, using physics based model that need many parameters is not a good choice. Using alternative approach like time-series based model is a good alternative. One of the algorithm that widely used to predict future events is Neural Network Backpropagation. On this research we will use Nguyen-Widrow method to initialize weight of Neural Network to reduce training time. The lowest MSE achieved is {0,02815;  0,01686; 0,01934; 0,03196} by using 50 maximum epoch and 3 neurons on hidden layer.
Hybrid Genetic Algorithm and Simulated Annealing for Function Optimization Fatyanosa, Tirana Noor; Sihananto, Andreas Nugroho; Alfarisy, Gusti Ahmad Fanshuri; Burhan, M Shochibul; Mahmudy, Wayan Firdaus
Journal of Information Technology and Computer Science Vol. 1 No. 2: November 2016
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (879.719 KB) | DOI: 10.25126/jitecs.20161215

Abstract

The optimization problems on real-world usually have non-linear characteristics. Solving non-linear problems is time-consuming, thus heuristic approaches usually are being used to speed up the solution’s searching. Among of the heuristic-based algorithms, Genetic Algorithm (GA) and Simulated Annealing (SA) are two among most popular. The GA is powerful to get a nearly optimal solution on the broad searching area while SA is useful to looking for a solution in the narrow searching area. This study is comparing performance between GA, SA, and three types of Hybrid GA-SA to solve some non-linear optimization cases. The study shows that Hybrid GA-SA can enhance GA and SA to provide a better result
PERAMALAN HARGA SAHAM INDEX NASDAQ COMPOSITE DENGAN METODE CONVOLUTIONAL NEURAL NETWORK – LONG SHORT TERM MEMORY Ardiansyah, Muhammad Dafa; Sari, Anggraini Puspita; Sihananto, Andreas Nugroho
TEKNO: Jurnal Teknologi Elektro dan Kejuruan Vol 33, No 2 (2023)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um034v33i2p165-177

Abstract

Pada era setelah pandemi COVID-19, banyak individu berinvestasi dalam saham sebagai sarana untuk pemulihan finansial. Namun, banyak dari masyarakat Indonesia tidak memahami cara kerja pasar saham dan bagaimana melakukan prediksi harga saham di masa depan. Penelitian ini bertujuan untuk mengembangkan model peramalan harga saham indeks Nasdaq Composite dengan menggunakan metode gabungan deep learning, yaitu Convolutional Neural Network – Long Short-Term Memory (CNN-LSTM). Uji coba model yang dikembangkan pada penelitian melewati berbagai alur seperti pengambilan data yang diambil dari Yahoo Finance, lalu melakukan penyaringan dan pembersihan data sehingga bisa digunakan untuk melatih sebuah model. Dalam pembuatan model terdapat banyak variasi konfigurasi, semua hal tersebut dilakukan akan dapat menghasilkan model yang optimal, dengan model yang optimal maka hasil yang diberikan pun akan menjadi lebih akurat, model akan bisa menangani data set sesuai kasus. Hasil dari uji coba ini menunjukkan bahwa metode CNN-LSTM mampu memberikan prediksi yang akurat dengan tingkat galat yang minimal menggunakan pengukuran evaluasi MAE sebesar 0,0005 dan MSE sebesar 0,0192 dan memakan waktu eksekusi sebesar 69673,15 ms. Algoritma CNN-LSTM terbukti dapat dijadikan sebagai salah satu opsi dalam pertimbangan mengambil keputusan trading.
Literature Review: Implementation of Extended Reality for Micro, Small, and Medium Enterprises in Indonesia Handayani, Wiwik; Sihananto, Andreas Nugroho; Yulianto, Rusman
Jurnal Economia Vol. 21 No. 1 (2025): February 2025
Publisher : Faculty of Economics and Business, Universitas Negeri Yogyakarta in collaboration with the Institute for

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/economia.v21i1.71860

Abstract

AbstractExtended Reality (XR), encompassing Virtual Reality (VR) and Augmented Reality (AR), constitutes immersive computer-generated technologies. While predominantly implemented in larger enterprises, XR adoption in Micro, Small, and Medium Enterprises (MSMEs) is notably sparse. XR's projected significance in product marketing, such as Meta Company and industry experts, this paper investigates XR adoption in Indonesian MSMEs from 2020 to 2023. Our review identifies ten instances of XR implementation in MSMEs, primarily in early developmental stages with limited user experience. The application of the (TAM) underscores the importance of user-centric evaluations in the adoption process. The balance between affordability, technological readiness, and consumer appeal will be key factors influencing the future dynamics of XR adoption in the business sector. Theoretical implications suggest a potential shift in marketing dynamics for MSMEs, while practical implications underscore the need for enhanced XR integration strategies to unlock the technology's full potential in empowering smaller enterprises.
Penerapan Algoritma Particle Swarm Optimization dalam Optimasi Penentuan Rute Wisata di Kota Surabaya dengan Universal Transverse Mercator Alifah, Nurul Aini; Marselina, Anif Fitria Dewi; Trianingsih, Arini; Saputri, Asih; Amalia, Nadhia Rizqy; Afriani, Regita; Naila, Amelia Maslaqun; Sihananto, Andreas Nugroho
Jurnal Ilmiah Teknologi Informasi dan Robotika Vol. 5 No. 1 (2023): Jurnal Ilmiah Teknologi Informasi dan Robotika
Publisher : Universitas Pembangunan Nasional Veteran Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/jifti.v5i1.172

Abstract

Penelitian ini mengaplikasikan algoritma Particle Swarm Optimization (PSO) untuk mengoptimalkan penentuan rute wisata di Kota Surabaya menggunakan sistem koordinat Universal Transverse Mercator (UTM). Algoritma PSO membantu dalam mengeksplorasi dan mengeksploitasi ruang pencarian untuk menemukan solusi optimal. Penelitian ini memiliki tujuan dalam merancang perangkat lunak untuk membantu wisatawan dalam merencanakan rute perjalanan yang efisien, sehingga meningkatkan pengalaman wisatawan dan mendukung pengelolaan pariwisata di Kota Surabaya. Dataset yang digunakan berasal dari Kaggle dan hanya mengambil tempat wisata di Surabaya. Data latitude dan longitude dari setiap tempat wisata di konversi ke koordinat UTM untuk mempermudah perhitungan jarak. Hasil penelitian menunjukkan bahwa nilai fitness terbaik yang berhasil didapatkan merupakan nilai fitness pada iterasi ke-30 hingga ke-50 dengan nilai fitness atau total jarak tempuh minimum sebesar 0.0037814121133019356 atau 0.0038. Rute perjalanan yang dimulai dari Balai Kota Surabaya dan diakhiri di Klenteng Sanggar Agung dipilih karena memiliki jarak tempuh total terpendek berdasarkan hasil perhitungan nilai fitness yang telah dilakukan oleh algortima PSO. Rute optimal ini memungkinkan wisatawan untuk mengunjungi lebih banyak destinasi dengan waktu yang lebih efisien.
Pemanfaatan Canva Untuk Kebutuhan Desain Grafis dan Video Promosi Edotel TeBe Syariah Andreas Nugroho Sihananto; Kartini Kartini; Rizky Parlika
Prosiding Vol 4 (2022): SNISTEK
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Marketing activities are at the core of every business, even in hospitality business. The hotels today is being challenged in marketing, especially digital marketing, and one of them is Edotel TeBe Syariah which is owned by SMK Tunas Bangsa on Malang City. The challenge faced by Edotel is the lack of human resources who master visual content creation and video creation for digital marketing purposes. Although it has confirmed business cooperation with OYO as SPOT ON 90349 for its marketing channel, the management also wants to strengthen its digital marketing side through social media. Because of the Covid-19 pandemic, the hotel occupancy rate is uncertain, sometimes only a few rooms are filled. The management also wants to increase the capacity of their human resources. our community service team and management plan marketing teaching strategies using Canva-based visual and video content. After using the Canva application for a while, all permanent employees of Edotel TeBe Syariah are now able to use Canva to create visual and video content for marketing needs. We hope that digital marketing activities through social media such as Facebook and Instagram owned by Edotel TeBe Syariah can be further improved
RANCANG BANGUN SISTEM INFORMASI GIZI ONLINE PADA RUMAH SAKIT BERBASIS WEB: Sistem Informasi Octaviani, Vincentia Indri; Sihananto, Andreas Nugroho
Informasi Interaktif : Jurnal Informatika dan Teknologi Informasi Vol 7 No 3 (2022): JII Volume 7, Number 3, September 2022
Publisher : Program Studi Informatika Fakultas Teknik Universitas Janabadra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37159/jii.v7i3.4

Abstract

In the era of globalization, many activities are carried out online, especially now that the corona virus has spread throughout the world, forcing people to self-isolate at home. This includes, of course, disrupting community activities in conducting health consultation activities. Due to the limitations of these conditions, it is difficult for people to check with nutritionists, which causes people to be less concerned about their nutrition. Therefore, in this journal an Online Nutrition Information System was created. This Information System is one of the projects at PT. Disty Teknologi Indonesia where I am currently participating in the MBKM Internship Stud activity Independent Certified so assigned to work on the project. This Online Nutrition Information System is made in the form of a mobile website that is easy to use anywhere and can be accessed by any device, making it easier for the public to access this website. So, this project is expected to make it easier for the community to conduct nutrition consultations with nutritionists in hospitals. This information system is equipped with several other features besides consultation, which can assist users in their activities other than with a nutritionist. This information system is made using the waterfall method and various plugins/APIs/frameworks such as PHP and Codeigniter to make website performance faster and more efficient. This information system uses MYSQL as a database. This website also uses user security which is quite safe because users can login using a Google+ account that is validated by the Google API. With the login feature using Google, it is hoped that it will make it easier for users and doctors to use this Online Nutrition Information System website.
Perancangan Aplikasi Konsultasi Kesehatan Mental Santosa, Mochammad Kevin; Sihananto, Andreas Nugroho
Jurnal Informatika UPGRIS Vol 8, No 2: Desember 2022
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v8i2.12557

Abstract

Abstract—Health does not only include physical health also includes mental health. Lack of insight into mental health make people less aware of the importance of mental health duet o limited access to mental health services. Public awareness of mental health is also quite low. The rate of mental health ilness is also quite high in Indonesia. Information on suicide prevention hotlines is also very limited. This problem was obtained through a research process on several respondents. Therefore, the authors take this case study as a solution on these problems. By creating a mobile-based interface design to provide education and also make it easier for the public to get services,suicide prevention hotline, and online seminars on mental health. With these features, we hope to be able to answer these problems.
PEMANFAATAN TOOL ARTIFICIAL INTELLIGENCE (AI) CHATGPT UNTUK OPTIMALISASI PROSES ASESMEN PEMBELAJARAN Najaf, Abdul Rezha Efrat; Agussalim, Agussalim; Sihananto, Andreas Nugroho
ABDIMAS ALTRUIS: Jurnal Pengabdian Kepada Masyarakat Vol 8, No 2 (2025): Oktober 2025
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/aa.v8i2.9512

Abstract

In the era of Society 5.0, education must adopt technology to improve the quality of learning, especially by educators. Technology brings significant changes, with people becoming more aware of the importance of technology skills. Every curriculum requires assessment to evaluate the success of learning, provide an overview of student achievement, and identify areas for improvement. The use of AI tools in student assessment improves the efficiency and quality of learning, allowing for faster and more specific feedback. AI also helps students identify their weaknesses more quickly and work on improving them. The AI training was attended by 18 teachers, starting with registration and followed by AI introduction materials and evaluation training during the learning process. The participants were also accompanied directly to observe their knowledge and skills. The training ended with a posttest to measure participants' understanding. As a result, all participants completed the task, showing a good understanding of the material. The achievement of the objectives demonstrates the success of this training and the utilization of information technology, particularly ChatGPT AI tools, in the learning assessment process. The optimal use of AI requires continuous training for teachers.
PERAMALAN TINGKAT INFLASI DI INDONESIA MENGGUNAKAN ARTIFICIAL BEE COLONY DAN XGBOOST Mohammad, Farrel Adel; Rizki, Agung Mustika; Sihananto, Andreas Nugroho
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.v12i3.4827

Abstract

Pertumbuhan ekonomi dan stabilitas harga merupakan fokus utama bagi negara-negara, termasuk Indonesia. Inflasi, sebagai indikator fluktuasi harga barang dan jasa, memainkan peran penting dalam stabilitas ekonomi. Peramalan inflasi menjadi kunci bagi pemerintah dan pemangku kepentingan ekonomi untuk merancang kebijakan yang responsif. Model pembelajaran mesin, seperti XGBoost, telah digunakan untuk tujuan ini, namun penyetelan hiperparameter yang optimal menjadi kunci keberhasilannya. Algoritma optimisasi seperti Artificial bee colony (ABC) dapat mengotomasi proses penyetelan hiperparameter XGBoost, meningkatkan efisiensi dan kinerja model. Penelitian ini membuktikan bahwa kombinasi Artificial bee colony dan XGBoost berhasil meramalkan tingkat inflasi bulanan di Indonesia dengan hasil yang akurat. Implementasi metode ini memberikan rata-rata skor RMSE 0.155066, skor MAE 0.115655, dan skor MAPE 0.795767.
Co-Authors Abdul Rezha Efrat Najaf Abdurrahman, Nizar Achmad Junaidi Aditya Primayudha Aditya Rizqi Ardhana Afifudin, Muhammad Afriani, Regita Agung Mustika Rizki, Agung Mustika Agussalim, Agussalim Alifah, Nurul Aini Amalia, Nadhia Rizqy Amri Muhaimin Anggraini PS Anggraini Puspita Sari Ani Dijah, Rahajoe Ar Romandhon, Mitzaqon Gholizhan Ardiansyah, Muhammad Dafa Arif Widiasan Subagio Basuki Rahmat Masdi Siduppa Christianty, Theressa Marry Dwi Arman Prasetya Edi Sugiyanto Edi Sugiyanto Eristya Maya Safitri Fakhruddin, Fikri Farkhan Fauzi, Zaky Ahmad Fetty Tri Anggraeny Gusti Ahmad Fanshuri Alfarisy, Gusti Ahmad Fanshuri Izzatul Fithriyah Kartini Kartini Kartini Lesmana, Benedictus Rafael M Shochibul Burhan, M Shochibul M. Arif Mardhavi M. Shochibul Burhan Mardhavi, Arif Marselina, Anif Fitria Dewi Maulana, Hendra Maulana, Yoga Mohammad, Farrel Adel Muhammad Afifudin Muhammad Dafa Ardiansyah Muhammad Muharrom Al Haromainy Naila, Amelia Maslaqun Nurhaliza, Risma Nurlaili, Afina Lina Octaviani, Vincentia Indri Pangestu, Arif Fajar Parlika, Rizky Pradana, Ilham Akbar Prami, Made Hanindia Putra, Chrystia Aji Putra, Gredy Christian Hendrawan Putra, Raditya Lungguk Satya Ramadhan, Dimas Dharu Rasjid, Azka Avicenna Ratna Yulistiani Retno Mumpuni Reza, Reno Alfa Safitri, Erista Maya Santosa, Mochammad Kevin Saputra, Dewa Raka Krisna Saputri, Asih Sebrina, Aida Fitriya Shahab, Muhammad Syaugi Suryandari, Sabrina Heryanti Taufiqurrahman, Rahmadany Fahreza Tirana Noor Fatyanosa, Tirana Noor Trianingsih, Arini Trimono, Trimono Wayan Firdaus Mahmudy Wiwik Handayani Yisti Vita Via Yudistira, Mochammad Ervinda Yulianto, Rusman