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All Journal InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan IJCIT (Indonesian Journal on Computer and Information Technology) Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta JURNAL MEDIA INFORMATIKA BUDIDARMA Information System for Educators and Professionals : Journal of Information System JIEET (Journal of Information Engineering and Educational Technology) Jurnal Mitra Pendidikan Jurnal Riset Informatika Journal of Information System, Applied, Management, Accounting and Research Jurnal Mantik International Journal Of Science, Technology & Management (IJSTM) Indonesian Journal of Networking and Security - IJNS INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Ibnu Alfarobi
Universitas Bina Sarana Informatika
Aerospace Engineering Agriculture, Biological Sciences & Forestry 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 Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Transportation Other

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Analisis Faktor-Faktor Yang Mempengaruhi Penggunaan Aplikasi Tiktok Dengan Metode Utaut 2 Sofian Wira Hadi; Ibnu Alfarobi
JISAMAR (Journal of Information System, Applied, Management, Accounting and Research) Vol 7 No 1 (2023): JISAMAR : February 2023
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisamar.v7i1.1011

Abstract

Humans are social beings who need interaction and communication with others. One of the social media that is often used today is Tiktok. The positive impact on social media includes facilitating user communication throughout the world who use communication tools in social media. Several previous studies examining the factors that drive the use of a system show that the UTAUT model is proven to be able to explain the acceptance of a technology. From the results of Habbit research, Performance Expetancy, and Social Influence have a positive effect on BI or interest in using the tiktok application and affect the use of the tiktok application. These three variables have significant values ​​that are different from Performance Expetancy and Habit which have a fairly high significant value for interest in using the tiktok application.
Implementasi Metode Prototype pada Sistem Informasi Pemesanan Kaos Sablon CV Jiyo’g Berbasis Website Joko Dwi Mulyanto; Fabriyan Fandi Dwi Imaniawan; Mustofa Mustofa; Ibnu Alfarobi
Bianglala Informatika Vol 11, No 1 (2023): Bianglala Informatika 2023
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/bi.v11i1.16015

Abstract

Abstrak - Seiring perkembangan teknologi yang semakin pesat sangat mempengaruhi berbagai kehidupan terutama dalam kegiatan bisnis seperti usaha konveksi guna mempertahankan dan bersaing di dalam bisnis yang semakin ketat. CV. Jiyo’g merupakan usaha industri yang bergerak di bidang konveksi yang melayani jasa produksi pakaian khususnya pembuatan kaos sablon yang memprioritaskan kepuasan pelanggan. Padahal CV. Jiyo’g sudah memiliki banyak pelanggan, tetapi saat ini dalam kegiatan bisnis pemesanannya masih belum efektif, dimana pelanggan datang ke toko untuk melakukan pemesanan serta dalam pencatatan data pemesanan masih menggunakan buku. Untuk itulah penulis mencoba membuat Tugas Akhir mengenai Perancangan Sistem Informasi Pemesanan Kaos Sablon Berbasis Web Pada CV Jiyo’g yang bisa memudahkan pelanggan dalam pemesanan kaos sablon, serta admin dapat mengolah data pemesanan, dan data pembayaran dengan cepat. Metode yang digunakan merancang sistem ini berupa metode prototipe, teknik pengumpulan data dengan cara observasi, wawancara dan studi pustaka. Dengan adanya sebuah sistem informasi ini dapat mempermudah pelanggan maupun admin.Kata Kunci: Sistem Informasi, Pemesanan, Sablon.Abstract - Along with the rapid development of technology, it greatly affects various lives, especially in business activities such as the convection business in order to maintain and compete in an increasingly tight business. CV. Jiyo'g is an industrial business engaged in convection that serves clothing production services, especially the manufacture of screen printing t-shirts that prioritize customer satisfaction. Even though CV. Jiyo'g already has many customers, but currently in its ordering business activities it is still not effective, where customers come to the store to place orders and in recording order data they still use books. For this reason, the author tries to make a Final Project regarding the Design of a Web-Based Screen Printing T-shirt Ordering Information System at CV Jiyo'g which can make it easier for customers to order screen printing t-shirts, and admins can process order data, and payment data quickly. The method used to design this system is a prototype method, data collection techniques by means of observation, interviews and literature study. With the existence of this information system can make it easier for customers and admins.Keywords: Information System, Ordering, Screen Printing.
KLASIFIKASI JENIS KEGAGALAN MESIN MENGGUNAKAN HYPERPARAMETER TUNNING SVM DAN LOGISTIC REGRESSION Ibnu Alfarobi; Sofian Wirahadi; Kudiantoro Widianto
JISAMAR (Journal of Information System, Applied, Management, Accounting and Research) Vol 7 No 3 (2023): JISAMAR (Agustus 2023)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisamar.v7i3.771

Abstract

kegagalan peralatan atau mesin dari suatu proses manufaktur sering mengakibatkan kerugian finansial yang besar bagi bisnis. Berdasarkan tingkat jenis kegagalan mesin, model dengan penurunan kinerja adalah sama untuk berbagai jenis tetapi akan berbeda untuk faktor manusia, mesin dan lingkungan. Dengan mengevaluasi efek dan penanganan yang berbeda, menjadi sangat penting untuk dapat memprediksi faktor – faktor yang menentukan jenis kegagalan mesin. Dengan memanfaatkan model machine learning, pengklasifikasi diharapkan mampu memprediksi suatu jenis kegagalan dari mesin. Pada penelitian ini, memaksimalkan untuk mendapatkan hasil model dengan memanfaatkan hyerparameter yang di tuning pada algoritma Support Vector Machine dan Logistic Regression. Metode penanganan data seperti teknik Smote dan data preprocessing lainnya digunakan. Model menghasilkan perbedaan tingkat akurasi yang cukup besar yaitu 23%. Sehingga dapat disimpulkan model dengan menggunakan algoritma SVM bisa lebih baik dalam memprediksi jenis kegagalan mesin pada tingkat keakuratan sebesar 90% dibandingkan dengan model menggunakan algoritma Logistic Regression yang hanya menghasilkan keakuratan sebesar 67%.
Analyzing Customer Satisfaction on Arthaspa Services with the C4.5 Algorithm Approach Sofian Wira Hadi; Wawan Kurniawan; Kudiantoro Widianto; Ibnu Alfarobi
Jurnal Riset Informatika Vol. 2 No. 3 (2020): June 2020 Edition
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v2i3.73

Abstract

Customer or buyer satisfaction is closely related to how a seller of services or a store serves its visitors. Good service for visitors also makes a good impression on visitors, while the opposite will cause a very bad or unfavourable impression in the eyes of customers, and may also lead to the reluctance of visitors to come back and lose the seller's opportunity to get potential buyers to become customers. This study attempts to analyze customer satisfaction with the services provided by Arthaspa outlets in Grand Kemang hotels using the C4.5 Algorithm approach. The attributes used are comfort, cleanliness, tidiness, and price. samples taken are customers who have transacted at least once.
Analisa Penerimaan Tekhnologi Artificial Intelligence Generative Dengan Menggunakan Metode UTAUT 2 Ibnu Alfarobi; Sofian Wira Hadi; Amin Nur Rais; W Warjiyono; Wawan Kurniawan
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 5, No 1 (2024): Edisi Januari
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v5i1.329

Abstract

The rapid development of information and communication technology has changed various aspects of human life and the impact of current technological developments is that there are many new technologies and of course new technology can provide benefits for users and developers. AI has had an impact on aspects of economics, politics, science and education in the current era. One of the most popular forms of AI is ChatGPT. The success of a new technology will of course be assessed and felt by users who will later be assessed whether the new technology will help and meet their needs. Several previous studies tested AI using Google Trends, Analysis of Trends in Indonesian People's Interest in Artificial Intelligence in Welcoming Society 5.0: Study using Google Trends. Analyzing the acceptance of Generative AI technology using the UTAUT 2 model is the main objective of this research. Factors that have a very positive and significant influence are the habit factors on behavior intention and habit on use behavior
Co-Authors Achmad Baroqah Pohan Ade Suryanto Algif Hari Prameswara Amin Nur Rais Andi Setiawan Andre Gusti Hermawan Andriansyah, Fachmi Dedi Saputra Entin Sutinah, Entin Fabriyan Fandi Dwi Imaniawan Fachmi Andriansyah Fandy Fandy Fandy, Fandy Hadi, Sofian Wira Joko Dwi Mulyanto Kudiantoro Widianto Kudiantoro Widianto, Kudiantoro Mahmud Safudin Muhamad Satrio Zulqistan Rusdi Mustofa Mustofa Risma Fauziahti Sofian Wira Hadi Taransa Agasya Tutupoly Taransa Agasya Tutupoly Taransa Agasya Tutupoly Tutupoly, Taransa Agasya Tyas Setiyorini W Warjiyono Wawan Kurniawan Wawan Kurniawan Zulqistan Rusdi, Muhamad Satrio