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All Journal JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi) Computatio : Journal of Computer Science and Information Systems Jurnal Pilar Nusa Mandiri SMARTICS Journal Journal of Economic, Bussines and Accounting (COSTING) JITK (Jurnal Ilmu Pengetahuan dan Komputer) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jurnal Riset Informatika Journal of Information Systems and Informatics Jurnal Ekonomi Manajemen Sistem Informasi BRITech : Jurnal Ilmiah Ilmu Komputer, Sains dan Teknologi Terapan Infotech: Journal of Technology Information Journal of Business and Audit Information System (JBASE) Sinar Sang Surya: Jurnal Pusat Pengabdian kepada Masyarakat Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Jurnal Teknik Mesin, Industri, Elektro dan Informatika Journal of Artificial Intelligence and Digital Business Jurnal Ilmiah Teknik Informatika dan Komunikasi Jurnal Penelitian Teknologi Informasi dan Sains Saber: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Jurnal Pengabdian Masyarakat dan Riset Pendidikan EBID:Ekonomi Bisnis Digital JURNAL TEKNIK INFORMATIKA DAN KOMPUTER Router : Jurnal Teknik Informatika dan Terapan Repeater: Publikasi Teknik Informatika dan Jaringan Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Saturnus: Jurnal Teknologi dan Sistem Informasi Router : Jurnal Teknik Informatika dan Terapan
Budiyantara, Agus
STMIK Widuri, Jakarta
Agriculture, Biological Sciences & Forestry Humanities 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 Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Physics Other

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APLIKASI INFORMASI UKM PADA UNIVERSITAS DI JAKARTA UTARA Christianto, Kevin; Budiyantara, Agus; Lee, Francka Sakti; Andry, Johanes Fernandes; Bernanda, Devi Yurisca; Ananda, Deah
Infotech: Journal of Technology Information Vol 11, No 1 (2025): JUNI
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v11i1.341

Abstract

Limited access to information about Student Activity Unit (UKM) activities and achievements is often an obstacle for students, especially new students, to be actively involved in campus activities. This study aims to develop an UKM Information Application to provide an integrated platform that makes it easier for students at universities in North Jakarta to access UKM information. This application is designed using the Scrum method, with iterative stages that include user needs analysis, development of key features such as delivery of activity information, event notifications, and documentation of UKM achievements, and evaluation through sprint reviews. The use of this application is expected to increase information transparency, facilitate communication between members, and encourage student participation in UKM activities. The results of the study are in the form of a digital-based information application that can strengthen UKM management and communication effectively and efficiently, supporting the modernization of information systems in higher education.
REGULA FORENSICS FACE SDK SEBAGAI SISTEM ABSENSI BERBASIS PENGENALAN WAJAH PADA PLATFORM ANDROID Widjaya, Rendi; Irwansyah, Irwansyah; Rizal, Rizal; Budiyantara, Agus; M, Tupan Tri
Infotech: Journal of Technology Information Vol 11, No 2 (2025): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v11i2.554

Abstract

Attendance is one of the important activities in organizational management, especially in the fields of education and business. Until now, attendance systems are still mostly done manually with signatures or ID cards. However, these methods are prone to fraud, such as buddy punching or data manipulation. This study aims to develop a facial recognition-based attendance system on the Android platform using Regula Forensics Face SDK. Test results at thresholds of 70%, 85%, and 90% show that the 85% threshold provides the best compromise, with a False Acceptance Rate (FAR) of 0% and a False Rejection Rate (FRR) of 14.3%. In conclusion, a facial recognition-based attendance system can be implemented on the Android platform using the Regula Forensics Face SDK. This technology has been proven to improve security and efficiency in Android attendance systems. In addition, this technology offers an accurate, fast, and secure biometric solution through flexible integration with Flutter. Despite technical and licensing limitations, this technology is still feasible for implementation in modern attendance systems.
Perancangan Dashboard Monitoring Klaim Bahan Bakar Menggunakan Microsoft Power BI Halim, Thirza Juan; Trisnawarman, Dedi; Budiyantara, Agus
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 4 (2026): November - January
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i4.3597

Abstract

PT Global Digital Niaga (Blibli) sebagai salah satu perusahaan e-commerce terkemuka di Indonesia, saat ini menjalankan program efisiensi biaya (cost saving). Salah satu area yang menjadi tantangan adalah proses pengendalian biaya klaim bahan bakar (BBM) karyawan yang masih dilakukan secara manual. Proses manual ini sulit untuk melacak transaksi secara efektif dan rentan terhadap adanya klaim berlebih (overclaim) yang dapat menimbulkan kerugian finansial. Penelitian ini bertujuan untuk merancang sebuah solusi Business Intelligence berupa dashboard interaktif yang berfungsi sebagai alat bantu pengendalian biaya klaim BBM. Perancangan sistem ini akan menggunakan metodologi Nine-Step Kimball untuk membangun sebuah data mart dengan model star schema. Sementara itu, untuk perancangan antarmuka visual dashboard digunakan metode prototyping yang bersifat iteratif. Keseluruhan proses, mulai dari ekstraksi data dari sistem internal perusahaan (Catapa dan Renaissance), transformasi, hingga visualisasi, diimplementasikan menggunakan software Microsoft Power BI. Hasil akhir dari penelitian ini adalah sebuah purwarupa (prototype) dashboard fungsional yang mampu menyajikan Key Performance Indicator (KPI) utama seperti Total Biaya Klaim, Jumlah Transaksi Overclaim, dan Total Kerugian Akibat Overclaim. Dengan adanya dashboard ini, diharapkan para pemangku kepentingan (Manajer HR, Manajer Keuangan, dan Direksi) dapat melakukan monitoring dan pengambilan keputusan secara lebih cepat dan berbasis data untuk mendukung tercapainya tujuan efisiensi perusahaan.
Pelatihan membuat presentasi dengan AI menggunakan Presentations.AI dan ChatGPT bagi Siswa SMK Media Informatika Dasana Indah Tangerang : Pengabdian Taufik, Ahmad; Sudaryana, I Ketut; Gunadi, Goldie; Tri M, Tupan; Budiyantara, Agus; Doharma, Rouli
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 2 (2025): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 2 (October 202
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i2.3575

Abstract

Advances in information technology, particularly artificial intelligence (AI) and generative language models like ChatGPT, can be leveraged in presentation creation. This technology opens up opportunities to automate and simplify creative tasks, including the development of presentation materials. This training aimed to explore the use of AI and ChatGPT to accelerate workflows, improve content quality, and create engaging presentations for students at SMK Media Informatika Dasana Indah, Tangerang. The methods used included case studies and comparative experiments between conventional and AI-based presentation creation. Data was obtained from analyses of quality, design, processing time, and user feedback. The results showed that AI and ChatGPT significantly saved time in developing presentation outlines, ideas, and text drafts. Integrating AI into platforms like Canva or Google Slides also facilitates the selection of professional templates and automated design. However, challenges were identified, such as the limitations of human creativity, the risk of misinterpretation by AI, and the need for content verification.
Penerapan Analisa PIECES dan Rancang Bangun Sistem Informasi Inventaris Kantor dengan Pemodelan UML Berbasis Website Anang Maulana; Agus Budiyantara
Jurnal ilmiah Sistem Informasi dan Ilmu Komputer Vol. 5 No. 3 (2025): November: Jurnal ilmiah Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juisik.v5i3.1736

Abstract

An information system is an integration between information technology and human activities that play a role in the management, processing, and dissemination of information within an organization or a particular environment. Along with technological advances, website-based information systems have become an effective solution for companies in managing office inventory more efficiently and structured. This research focuses on the design of a website-based office inventory information system aimed at simplifying the performance of admins in the inventory data management process. However, this matter has weaknesses in its management such as still using Microsoft Excel so it is vulnerable to malware if employees want to request the data with a USB that becomes a corrupt file and the occurrence of inventory management errors that cause differences between the actual conditions or human error. Before designing the system, an analysis of the existing inventory mechanism was conducted using the PIECES approach (Performance, Information, Economy, Control, Efficiency, and Service) to evaluate the performance of the old system and identify improvement needs. In addition, system modeling was carried out using the Unified Modeling Language (UML) through use case diagrams, activity diagrams, and class diagrams. The final result of this research is an efficient and integrated website-based office inventory information system.
Analisis Tingkat Kepuasan Penggunaan Aplikasi E- Faktur Pajak dalam Proses Pelaporan Pajak di PT. Anugerah Texindotama Shan Putra Elliotman Sarumaha; Agus Budiyantara
Router : Jurnal Teknik Informatika dan Terapan Vol. 2 No. 4 (2024): Desember: Router: Jurnal Teknik Informatika dan Terapan
Publisher : Asosiasi Profesi Telekomunikasi dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/router.v2i4.271

Abstract

This study aims to analyze the level of satisfaction with the use of the tax e-Faktur application in the tax reporting process at PT Anugerah Texindotama. The e-Faktur application is a technological innovation that facilitates electronic tax reporting, which is expected to increase compliance and efficiency in the tax administration process. This research method includes observation, interviews, and distributing questionnaires to 43 respondents who are directly related to the use of the application. Based on the results of the study, it was found that the use of the e- Faktur application has had a positive influence on user satisfaction, with an average satisfaction level of 80.83%, which is categorized as good. Several advantages of the application, such as minimizing the risk of errors and ease of access, also increase user acceptance. However, there are technical constraints that need to be improved to support system optimization. Recommendations for improvement focus on enhancing features and technical training for employees to strengthen the implementation of the e-Faktur application in corporate tax reporting.
Menyusun Sistem Informasi untuk Analisis Pertimbangan Preferensi dan Efisiensi Sistem Pembayaran QRIS, Debit, dan Tunai di Masyarakat Rafael Christoper Suhandi; Dedi Trisnawarman; Agus Budiyantara
Jurnal Ekonomi Manajemen Sistem Informasi Vol. 7 No. 2 (2025): Jurnal Ekonomi Manajemen Sistem Informasi (November-Desember 2025)
Publisher : Dinasti Review

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jemsi.v7i2.7118

Abstract

Penelitian ini bertujuan untuk menganalisis persepsi pengguna terhadap sistem pembayaran digital di Indonesia, khususnya QRIS, dengan menggabungkan metode analisis sentimen dan klasterisasi. Model hybrid yang digunakan mengombinasikan algoritma Naïve Bayes untuk menganalisis opini publik dari platform Reddit dan algoritma K-Means Clustering untuk mengelompokkan responden survei berdasarkan kesamaan persepsi. Data penelitian diperoleh dari dua sumber, yaitu data sekunder berupa komentar media sosial dan data primer dari survei pengguna. Hasil analisis sentimen menunjukkan mayoritas opini publik bersifat netral hingga positif terhadap penggunaan QRIS. Integrasi hasil sentimen dengan data survei menghasilkan dataset gabungan yang lebih komprehensif dalam menggambarkan perilaku dan pandangan pengguna. Proses klasterisasi menghasilkan tiga kelompok utama pengguna, yaitu pengguna baru yang masih ragu, pengguna adaptif, dan pengguna aktif dengan tingkat kepuasan tinggi. Hasil penelitian menunjukkan bahwa pendekatan hybrid Naïve Bayes dan K-Means efektif untuk mengungkap pola persepsi pengguna serta menunjukkan bahwa penerimaan masyarakat terhadap sistem pembayaran digital QRIS tergolong tinggi.
PERBANDINGAN SENTIMEN PENGGUNA SHOPEE DAN TOKOPEDIA MENGGUNAKAN NAÏVE BAYES Grace Apriliani Puteri Santoso; Dedi Trisnawarman; Agus Budiyantara
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 14 No. 1 (2026): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jpxyg121

Abstract

Pertumbuhan pesat ekosistem e-commerce di Indonesia menjadikan ulasan pengguna pada Google Play Store salah satu sumber data penting untuk membaca persepsi dan pengalaman pengguna secara langsung. Penelitian ini bertujuan menganalisis serta membandingkan sentimen ulasan pengguna terhadap aplikasi Shopee dan Tokopedia dengan menggunakan pendekatan klasifikasi Naïve Bayes. Data ulasan dikumpulkan dari halaman Google Play kedua aplikasi, kemudian diproses melalui tahapan prapemrosesan teks, meliputi pembersihan karakter, case folding, penghapusan stopword, dan stemming. Fitur teks direpresentasikan menggunakan Term Frequency Inverse Document Frequency (TF-IDF) dan diklasifikasikan ke dalam label sentimen positif, negatif, dan netral. Kinerja model dinilai menggunakan metrik akurasi, presisi, recall, dan F1-score, sedangkan perbedaan pola sentimen antara Shopee dan Tokopedia dianalisis berdasarkan distribusi kelas dan hasil klasifikasi yang dihasilkan. Temuan penelitian ini memberikan gambaran kuantitatif mengenai kecenderungan penilaian pengguna terhadap kedua platform dan dapat menjadi masukan bagi pengelola e-commerce dalam merumuskan strategi peningkatan kualitas layanan berbasis opini pengguna.
Co-Authors Achmad Udin Zaelani Addarda, Binan Ade Davy Wiranata Agus Pratama W Ahmad Taufik Ahmad Taufik Alexandra, Jennifer Ananda, Deah Anang Maulana Andreanus Kevin Wijaya Anthony Gunawan Anton Hindardjo Arafat, Fadhilah ari ardiansyah sinta Arif Yuliawan Asrul Sani Asrul Sani Azhari, Ozmar Bernanda, Devi Yurisca Bintang Dwinanto Prakoso Bunevasius Pekelmus Christianto, Kevin Dedi Trisnawarman Dirga Setia Fahreza Doharma, Rouli Doharma, Rouly Francka Sakti Lee Fresh Krist Wit Nesty Sarumaha Frieyadie Grace Apriliani Puteri Santoso Gunadi, Goldie Halim, Thirza Juan Hamzah Kadar Handan Franata Simarmata Honni, Honni I Ketut Sudaryana, I Ketut Irma Suryani Irvan Lewenusa Irvan Lewenusa, Irvan Irwansyah Irwansyah Irwansyah Irwansyah Irwansyah Irwansyah Irwansyah Irwansyah Jap Wie Tjhe Jefry Leonardo Johanes Fernandes Andry Jovita Sutanto Kevin Christianto Ksatria Muhammad Al Rustam M, Tupan Tri Mario, Eric Marsela Nihim Masruri Masruri Maulana, Brian Arif Merliani Ivone S Michael Rolland Mochamad Sofyan Muryono, Tupan Tri Nababan, Andika Jakaria Nastiti Tri Permatasari Nawangtyas, Nur Ninuk Wiliani Nur Nawaningtyas Pusparini Nur Nawaningtyas Pusparini Nur Nawaningtyas Pusparini Owen, Bryan Permatasari, Nastiti Tri Pusparini, Nur Nawaningtyas Rafael Christoper Suhandi Raizaldi, Achmad Randy Anderias Adu Rizal Rizal Rizaldy Khair Samuel Samuel Sandri Sagitarius Sarumaha Sandy Duta Alam Shan Putra Elliotman Sarumaha Siti Aisyah Siti Aisyah Sofian Lusa Sofyan, Mochamad Supit, Merliani Ivone T. Husain Tezar Maula Tjhe, Jap Wie Tri M, Tupan Widjaya, Rendi Wildatur Rohmah Witari, Putu Sita