Article Per Year (5 Year)
p-Index From 2021 - 2026
4.328
P-Index
This Author published in this journals
All Journal InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta Indonesian Journal on Software Engineering (IJSE) Techno Nusa Mandiri : Journal of Computing and Information Technology Jurnal Riset Informatika INTI Nusa Mandiri JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Infortech Computer Science (CO-SCIENCE) JUSTIAN - Jurnal Sistem Informasi Akuntansi Reputasi: Jurnal Rekayasa Perangkat Lunak Jurnal Insan Indonesian Journal Computer Science (ijcs) Jurnal Pengabdian Literasi Digital Indonesia Indonesian Community Service Journal of Computer Science (IndoComs) Bianglala Informatika
Wahyutama Fitri Hidayat
Universitas Bina Sarana Informatika
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Environmental Science Library & Information Science

Published : 29 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 29 Documents
Search

 1   2   3 
Usability Testing Aplikasi Informasi Desa Wisata Menggunakan Metode Cognitive Walkthrough dan System Usability Scale (SUS) Hidayat, Wahyutama Fitri; Setiadi, Ahmad; Malau, Yesni; Purnama, Rachmat Adi
Jurnal INSAN Journal of Information System Management Innovation Vol. 5 No. 1 (2025): Juni 2025
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/j-insan.v5i1.8887

Abstract

Penelitian ini membahas pengujian usability pada aplikasi Sidewi Mobile guna mengevaluasi tingkat keterpakaian dan kepuasan pengguna. Metode yang digunakan adalah System Usability Scale (SUS) dan Cognitive Walkthrough untuk mengidentifikasi masalah serta memberikan rekomendasi perbaikan berdasarkan pengalaman pengguna. Hasil pengujian menunjukkan bahwa aplikasi memiliki tingkat keberhasilan penyelesaian tugas sebesar 89,2% dan efisiensi penggunaan dengan rata-rata waktu penyelesaian sebesar 0,01 goals/seconds. Nilai SUS yang diperoleh sebesar 52,1, menunjukkan bahwa aplikasi masih berada dalam kategori marginal low dan belum sepenuhnya dapat diterima oleh pengguna. Oleh karena itu, rekomendasi perbaikan mencakup peningkatan antarmuka pengguna serta penambahan fitur pencarian untuk meningkatkan pengalaman pengguna dalam mengakses informasi desa wisata.
PEMANFAATAN TEKNOLOGI AI UNTUK PENINGKATAN KREATIVITAS ANAK ASUH YAYASAN AS-SYAMSURIYAH JAKARTA Yusnia Budiarti; Ahmad Setiadi; Norma Yunita; Wahyutama Fitri Hidayat
Indonesian Community Service Journal of Computer Science Vol. 2 No. 2 (2025): Periode Juli 2025
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/indocoms.v2i2.9228

Abstract

Community service activities with the theme of Increasing Creativity Using AI at the As-Syamsuriyah Foundation aim to enhance the skills of the children under the care of the As-Syamsuriyah Foundation in utilizing Artificial Intelligence (AI) technology through visual arts in the form of videos that can be used for effective documentation and publication. In this digital era, AI offers great potential to boost human creativity, but its use must be carried out carefully and responsibly. By understanding and addressing ethical challenges, we can ensure that AI becomes a partner that enriches the creative world, rather than a threat that undermines it. Wise implementation of AI allows humans to continue to evolve, creating works that harmoniously blend technology and human touch. This training includes visual arts in the form of videos utilizing AI technology that can be used for documentation and publication. Participants will learn to utilize AI using software to create easily accessible animation videos suitable for the foundation's documentation needs. This activity is expected to help the foundation's children improve their creativity using AI while still paying attention to ethical aspects. The output of this community service activity will be in the form of articles in print or electronic media, increased knowledge and skills of the partners.
Implementasi Application Programming Interface Live Location dan Payment Gateway Aplikasi Bank Sampah Berbasis Mobile Hidayat, Wahyutama Fitri; Setiadi, Ahmad; Malau, Yesni
Indonesian Journal Computer Science Vol. 5 No. 1 (2026): April 2026
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/ijcs.v5i1.12326

Abstract

Permasalahan pengelolaan sampah tetap menjadi isu strategis di Indonesia seiring dengan meningkatnya volume sampah rumah tangga yang belum diimbangi oleh sistem layanan yang efisien dan transparan. Perkembangan teknologi mobile serta layanan berbasis Application Programming Interface (API) mendorong transformasi digital berbagai kegiatan publik, tidak terkecuali bank sampah. Penelitian memiliki tujuan untuk merancang dan mengimplementasikan aplikasi bank sampah dengan aplikasi  bernama GoTrash dengan fitur proses pemesanan penjemputan sampah, pelacakan lokasi, pengelolaan transaksi. Aplikasi dikembangkan menggunakan arsitektur RESTful API untuk menghubungkan aplikasi mobile dengan server backend sehingga pertukaran data dapat dilakukan secara efisien, aman, dan real time. Integrasi layanan pendukung seperti pemetaan lokasi, Firebase untuk sinkronisasi data dan notifikasi, serta Midtrans sebagai payment gateway digunakan untuk meningkatkan fungsionalitas aplikasi. Tahapan pengembangan menggunakan metode waterfall diawali dengan analisa kebutuhan, perancangan wireframe antarmuka, implementasi fitur, kemudian dilanjutkan dengan pengujian menggunakan metode black-box testing untuk memastikan kesesuaian fungsi dengan kebutuhan pengguna. Dengan demikian, aplikasi yang dikembangkan mampu meningkatkan efektivitas, transparansi, dan kemudahan layanan bank sampah digital serta berpotensi menjadi solusi pengelolaan sampah yang lebih modern, terstruktur, dan skalabel.
Prototype Aplikasi Edukasi Anak Berbasis Mobile Wahyutama Fitri Hidayat; Yesni Malau; Muhammad Fahmi Julianto
Reputasi: Jurnal Rekayasa Perangkat Lunak Vol. 3 No. 1 (2022): Mei 2022
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/reputasi.v3i1.1185

Abstract

Teknologi informasi dunia dimana saat ini sedang berkembang dengan pesat telah menyasar berbagai aspek di masyarakat yaitu ekonomi, kebudayaan, seni, politik, dan tak terkecuali dunia pendidikan. Tujuan dari penelitian yag dilakukan yaitu menghasilkan prototype aplikasi yang berberbasiskan mobile application dengan diberikan nama Aplikasi Edukasi Anak. Batasan yang digunakan di penelitian ini yaitu hanya akan dibahas mengenai merancangan aplikasi berdasarkan model prototype. Hasil dari penelitian ini berupa rancangan Aplikasi Edukasi Anak berbasis mobile yang dirancang menggunakan aplikasi Justinmind. Hasil rancangan yang dilakukan pengujian dengan digunakannya metode BlackBox dapat menghasilkan fitur aplikasi prototype yang dirancang dapat berjalan sesuai dengan rancangan dan diterima.
Pemodelan dan Prediksi Harga Emas Menggunakan Metode ARIMA pada Data Time Series Yesni Malau; Eni Pudjiarti; Fintri Indriyani; Riswandi Ishak; Asep Sayfulloh; Wahyutama Fitri Hidayat
Bianglala Informatika Vol. 14 No. 1 (2026): Maret 2026
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/bianglala.v14i1.12455

Abstract

This study aims to analyze and predict gold price movements using a time series approach with the Autoregressive Integrated Moving Average (ARIMA) model. The data used in this research are historical daily gold closing prices from 2020 to 2026 obtained from Investing.com, consisting of 1,568 data. The research stages include data collection, preprocessing, stationarity testing using the Augmented Dickey-Fuller (ADF) test, parameter identification through Autocorrelation Function (ACF) and Partial Autocorrelation Function (PACF) analysis, parameter estimation, diagnostic checking, and model accuracy evaluation. The results indicate that the data are stationary with a p-value < 0.05. Based on the identification and model selection process, the ARIMA (3,0,3) model was identified as the best model with an Akaike Information Criterion (AIC) value of 15449.326. Model evaluation results show an RMSE of 120.86, MAE of 95.02, and MAPE of 5.48%. The MAPE value below 10% indicates that the model has good accuracy in predicting gold prices. Therefore, the ARIMA model can be used as an effective approach to predict gold price movements based on historical data.
Rancang Bangun Perangkat Lunak Lelang Vendor Barang dan Jasa Berbasis Website Yesni Malau; Eni Pudjiarti; Ahmad Setiadi; Wahyutama Fitri Hidayat
Jurnal Sistem Informasi Akuntansi Vol 6 No 2 (2025): Periode September 2025
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/justian.v6i2.10727

Abstract

Conventional vendor selection in a project often faces various problems, such as granting exclusive rights to certain vendors, wasting time and costs, and a lack of transparency that can lead to potential corruption. This study aims to develop a website-based vendor selection system using the Codeigniter framework to improve order and transparency in the vendor selection process. The methods used include collecting user requirements data, designing the system using the PHP programming language and the Codeigniter framework, and comprehensive system testing through a Black Box Testing approach. The test results show that all features of the website-based procurement system function as expected with 100% valid results. This software aims to reduce unethical practices and increase user satisfaction and productivity by providing a faster and more transparent procurement process. This study provides a real solution to improve the vendor selection tender process and is expected to be widely implemented to support order and transparency in procurement across various sectors. In addition, this system is also expected to improve data accuracy and accelerate the decision-making process in procurement.
Pembuatan Aplikasi Informasi Desa Wisata Berbasis Android Ayasha Noor Khalila; Ahmad Setiadi; Wahyutama Fitri Hidayat
Bianglala Informatika Vol. 13 No. 1 (2025): Maret 2025
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/bianglala.v13i1.12009

Abstract

Perkembangan teknologi informasi yang pesat memberikan kesempatan kepada setiaporang untuk menyebarkan informasi secara cepat dan luas terhadap objek tertentu. Pariwisatamenjadi salah satu sektor penting yang dapat membantu mendorong pertumbuhan ekonomi melaluidevisa yang dihasilkan. Desa wisata merupakan salah satu contoh dari pembangunan berkelanjutanatau biasa disebut dengan pembangunan berkelanjutan yang sudah menjadi agenda global.Banyaknya pengguna sistem operasi Android dan permintaan pasar, pengembangan aplikasi Androidmenjadi salah satu yang tercepat. Pemasaran produk seperti kerajinan masyarakat masihmengandalkan pengunjung atau wisatawan. Proses manajemen data wisata dan penyampaianinformasi mengenai sarana desa wisata belum terintegrasi dengan pihak masyarakat. Dari latarbelakang yang diangkat, penulis bertujuan mengembangkan aplikasi informasi desa wisata berbasisandroid. Aplikasi dapat digunakan untuk melihat informasi desa wisata serta memesan tiket untukberkunjung ke tempat wisata yang dipilih. Aplikasi dibuat menggunakan Android Studio denganSQLite sebagai database. Tujuan pembangunan aplikasi adalah sebagai media promosi desa wisatadan pemesanan tiket untuk pariwisata.
COMPARATION OF DECISION TREE MODEL AND SUPPORT VERCTOR MACHINE IN SENTIMENT ANALYSIS OF REVIEW DATASET SAMSUNG SSD 850 EVO AT NEW EGG SHOP Muhammad Fahmi Julianto; Yesni Malau; Wahyutama Fitri Hidayat; Wawan Nugroho; Fintri Indriyani
Jurnal Riset Informatika Vol. 3 No. 4 (2021): September 2021 Edition
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v3i4.97

Abstract

The development of information technology is currently growing very rapidly, including the impact on the hardware used. This can be exemplified in the use of hard drives that are starting to switch to SSDs. The process of selecting an SSD product to be used cannot be separated from the sources of information found on the internet. Through the internet, every user can provide reviews, both positive and negative reviews. With the many reviews regarding the review of the Samsung 850 Evo SSD on the NewEgg Store, the author uses it to be processed into information, which will have new knowledge. Based on that, the author makes research, in the form of opinion classification by analyzing sentiment through a text mining approach. In this study, two classification models were used, namely Decision Tree and Support Vector Machine. The results of this study are in the form of a comparison of the 2 models used based on the accuracy and AUC values. Based on research, the Support Vector Machine model is better than the Decision Tree model. This conclusion can be proven by the accuracy value of the Support Vector Machine model resulting in a value of 0.87 or 87% while the accuracy value of the Decision Tree model produces a value of 0.82 or 82%. In addition, the AUC value of the Support Vector Machine model produces a value of 0.87 and the Decision Tree mode produces a value of 0.82 or it can be said that the AUC value of the Support Vector Machine model is better than the Decision Tree model.
PERBANDINGAN PENERAPAN ALGORITMA DEEP LEARNING DALAM PREDIKSI HARGA EMAS Muhammad Fahmi Julianto; Muhammad Iqbal; Wahyutama Fitri Hidayat; Yesni Malau
INTI Nusa Mandiri Vol. 19 No. 1 (2024): INTI Periode Agustus 2024
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v19i1.5559

Abstract

Digital investment is trending because advancements in information technology make access easy through smartphones. Various digital investment instruments attract much interest from the public. Post COVID-19 pandemic, the economic impact of the pandemic is still felt until the end of 2022, requiring people to be smart in managing their finances. Gold investment is considered profitable due to its high value and tendency to increase, unlike the fluctuating stocks. Although easily accessible, investments carry risks, so investors must have sufficient knowledge to maximize profits. This research aims to predict gold prices using several deep learning models, namely Artificial Neural Network (ANN), Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), and Long Short-Term Memory (LSTM). The dataset used was taken from the Kaggle website, which includes historical gold price data. In this research, various deep learning models were applied and evaluated to determine the best model for predicting gold prices. The results show that the CNN model with Adam optimization and Mean Squared Error (MSE) loss function provides the best performance. The CNN model achieved the lowest Mean Absolute Error (MAE) of 0.004848717761305338, the lowest MSE of 4.3451079619612133, and the lowest Root Mean Squared Error (RMSE) of 0.006591743291392053. These results indicate that the CNN model is more effective in predicting gold prices compared to the ANN, RNN, and LSTM models on the used dataset.
Co-Authors Ade Hendini Ahmad Setiadi Ali Mustopa, Ali Annida Purnamawati Asep Sayfulloh Ayasha Noor Khalila Bayu Pratama, Eri Destiana Putri Eni Pudjiarti Eri Bayu Pratama Fajar Sarasati Fajar Shidiq Fintri Indriyani Hermanto Hermanto Jordy Lasmana Putra Julianto, Muhammad Fahmi Kartika Handayani Khalila, Ayasha Noor Mochammad Imron Awalludin Muhamad Syarif Muhammad Fahmi Julianto Muhammad Iqbal Norma Yunita Paulus Tofan Rapiyanta Rachmat Adi Purnama Rangga Sanjaya Riswandi Ishak Taufik Asra Wawan Nugroho YANTO YANTO Yesni Malau Yusnia Budiarti