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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 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 Sistem Informasi Jurnal Penelitian Teknologi Informasi dan Sains Saber: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Jurnal Pengabdian Masyarakat dan Riset Pendidikan JURNAL TEKNIK INFORMATIKA DAN KOMPUTER Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika 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

Author-ID : 1298451

Aerospace Engineering 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 Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Physics Other

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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

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

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.

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

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.

Penerapan Sistem Pakar untuk Mengukur Tingkat Stres Kerja Karyawan dengan Menggunakan Metode Forward Chaining Achmad Muzakir; Agus Budiyantara
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 4 No. 3 (2026): Mei: Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatik
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v4i3.1391

An expert system is a computer-based program designed to simulate the reasoning and decision-making abilities of an expert in a particular field, enabling it to serve as a reference for specific conditions. This system integrates knowledge, rules, and experiences obtained from experts to support problem identification, provide recommendations, and determine appropriate decisions accurately. In this study, the expert system is utilized to measure employee stress levels based on the symptoms experienced by users. The diagnostic process is carried out using the forward chaining method, a reasoning technique that begins with facts or symptoms provided by the user and then matches them with IF–THEN rules to generate a conclusion or diagnostic result. Through the implementation of this method, the system is capable of providing employee stress assessments in a more structured, systematic, and rule-based manner according to the predefined knowledge base. The final outcome of this research is the development of a forward chaining–based expert system for measuring employee stress within a company environment, which can assist the diagnostic process more effectively and accurately.

Penerapan Dashboard Business Intelligence untuk Analisis Piutang Customer pada Perusahaan Manufaktur Bintang Noviansyah Syamsu; Dedi Trisnawarman; Agus Budiyantara
JURNAL PENELITIAN SISTEM INFORMASI (JPSI) Vol. 4 No. 2 (2026): Mei: JURNAL PENELITIAN SISTEM INFORMASI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jpsi.v4i2.4074

Manual management of customer receivables in manufacturing companies often leads to inefficiencies, including slow analysis processes, difficulty in monitoring outstanding balances, and limited ability to track payment trends comprehensively. This study designed a Business Intelligence Dashboard using Microsoft Power BI to address these issues at PT. XX Industry, employing a Software Development Life Cycle (SDLC) approach consisting of four stages: Planning, Analysis, Design, and Implementation. During the design phase, a data warehouse was built using a star schema model in SQL Server Management Studio, followed by an Extract, Transform, Load (ETL) process to ensure data accuracy and consistency prior to integration into Power BI. Five Key Performance Indicators (KPIs) were established collaboratively with company management through a series of online discussions, comprising Total Invoice, Total Payment, Total Receivables, Payment Rate, and Average Payment Time, all implemented using DAX expressions. The resulting dashboard features monthly trend visualizations, customer-based receivables distribution, and interactive filter capabilities. System testing confirmed that all components functioned correctly, while ETL validation verified consistency between processed and source data. User Acceptance Testing (UAT) conducted by management yielded an average score of 4.7 out of 5, reflecting a very high level of user acceptance. Overall, this dashboard proved effective in improving receivables monitoring efficiency and supporting faster, data-driven decision-making.

EXAMINING STUDENTS' BEHAVIORAL USE OF CAMPUS JOURNALS WITH THE TECHNOLOGY ACCEPTANCE MODEL APPROACH Agus Pratama W; Asrul Sani; Siti Aisyah; Merliani Ivone S; Agus Budiyantara
Jurnal Riset Informatika Vol. 4 No. 2 (2022): March 2022
Publisher : Kresnamedia Publisher

Understudy conduct is an action completed by understudies for every person. Students who visit campus journal websites are essential in terms of journal accreditation aspects, where this is a benchmark for increasing the journal's potential as a reference. However, some factors influence it where the frequency of students visiting campus journal websites is not as expected in exploring journals, and the enthusiasm of students to download articles is still below the desired expectations. It causes the potential for the journal to obtain national accreditation at a small percentage, and students may think that there are very few reference sources for journals, so it is less attractive on the campus journal website system. Data collection methods were used in this study, such as interviews, literature study, and questionnaires. Meanwhile, evaluate the campus journal website system on student behavior using the Technology Acceptance Model (TAM) with four variables: perceived ease of use, usefulness, attitude toward using, and behavioral intention to use. This method makes the user feel it is easier to access the campus journal website; then, the user feels the campus journal website can provide benefits and usability. The user has a great curiosity about accessing the campus journal, and finally, the user wants to access the website and take the initiative to influence. other users in to access the same

SALES LEVEL ANALYSIS USING THE ASSOCIATION METHOD WITH THE APRIORI ALGORITHM Samuel Samuel; Asrul Sani; Agus Budiyantara; Merliani Ivone S; Frieyadie Frieyadie
Jurnal Riset Informatika Vol. 4 No. 4 (2022): September 2022
Publisher : Kresnamedia Publisher

The company does not yet know the pattern of consumer purchases because, so far, the sales transaction data has not been used correctly and does not have a unique method to determine consumer buying patterns. The problems on the company, this research was done to reprocess sales transaction data for 2018-2019 using data mining techniques with association methods and apriori algorithms. RapidMiner is a supporting application to find association rules derived from transaction data. Processed transaction data using the Knowledge Discovery in Database approach. Thus, the company can determine consumer habits in buying goods from sales transaction data for 2018-2019. The results of this study are that in 2018, nine association rules were obtained, of which the best were CT G-246 ⇒ CT G-250 and CT G-250 ⇒ CT G-246. In 2019, nineteen association rules were received, of which the best were PN 0441, SK 0175 ⇒ SK 0530, and SK 0175, SK 0283, ⇒ SK 0530. From the best association rules, the goods in the Coat (imported), Pants, and Skirt categories are often bought together.

Co-Authors Achmad Muzakir 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 Bintang Noviansyah Syamsu 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 Mario, Eric Marsela Nihim 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 Randy Anderias Adu Rizaldy Khair Samuel Samuel Sandri Sagitarius Sarumaha Sandy Duta Alam Sani, Asrul 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 Wildatur Rohmah Witari, Putu Sita

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