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All Journal Gaung Informatika Perspektif : Jurnal Ekonomi dan Manajemen Universitas Bina Sarana Informatika Jurnal Ilmiah FIFO Jurnal Teknik Informatika STMIK Antar Bangsa Technologia: Jurnal Ilmiah INTI Nusa Mandiri Journal of Innovation and Future Technology (IFTECH) JISA (Jurnal Informatika dan Sains) Jurnal Sistem Informasi Abditeknika - Jurnal Pengabdian Kepada Masyarakat Tridharmadimas: Jurnal Pengabdian Kepada Masyarakat Jayakarta Profitabilitas Publikasi Pengabdian Masyarakat Komputer dan Teknologi (PUNDIMASKOT) LOGIC : Jurnal Ilmu Komputer dan Pendidikan Jurnal Kajian Pendidikan dan Psikologi Prawara Jurnal Pengabdian Masyarakat
Siregar, Juarni
Unknown Affiliation
Humanities Automotive Engineering 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 Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Public Health Social Sciences Other

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Penerapan Penerapan Zahir Accounting versi 5.1 Pada Laporan Keuangan Perusahaan Dagang EJ. Endik Jaya Bogor: Laporan Keuangan Perusahaan Dagang Siregar, Juarni; Revita, Maria Lapriska Dian Ela; Hibono, Leonita
PROFITABILITAS Vol 1 No 1 (2021): Teknologi Sistem Informasi Akuntansi
Publisher : Sistem Informasi Akuntansi Kampu Kabupaten Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/profitabilitas.v1i1.432

Abstract

The era of the Industrial revolution 4.0, all using internet connecting, especially in the field of hardware technology in the form of computers and software technology in the form of applications. The existence of computers and applications can make data processing faster and more accurate and saves storage space in archiving. One of them is in processing financial data in various companies. At present there are still many companies that manage their financial data manually, including EJ. Endik Jaya. Weaknesses in the processing of financial data manually will be vulnerable to errors in the financial recording process, resulting in inaccurate reports. Therefore, by direct observation on company locations and interviews with EJ owners. Endik Jaya the author collects the evidence of the transaction and observes the processing of the company's financial data, to then apply it to Zahir Accounting Version 5.1. In addition, the author also uses the literature study method by reading books containing Zahir Accounting Version 5.1. It is expected that with the application of this application the process of financial records on EJ. Endik Jaya is becoming more effective and efficient, and produces financial reports that are fast, precise and accurate.
Implementation Of Forward Chaining In Intelligent Systems For Automatic Car Engine Fault Detection Siregar, Juarni; Hartana, Hartana; Wijayanti, Diah; Herryansyah, Herryansyah
JISA(Jurnal Informatika dan Sains) Vol 8, No 2 (2025): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v8i2.2551

Abstract

Intelligent systems are one application of artificial intelligence technology that can assist in automatic decision-making based on a knowledge base. In this study, a smart system based on the Forward Chaining method was designed and implemented to detect damage to petrol-powered car engines. This system employs the Forward Chaining method, which systematically matches the user-inputted symptoms with the rules in the knowledge base to determine the most likely cause of the damage. The knowledge base was developed through in-depth interviews with three expert technicians from official repair shops and validated by a head supervisor, resulting in 28 specific diagnostic rules. Diagnostic data, including symptoms and corresponding damage, was collected from service records of 50 cases involving Toyota Avanza and Honda cars manufactured between 2019 and 2022. This system is capable of detecting various symptoms, such as sudden engine failure, difficulty starting, excessive vibration, abnormal exhaust smoke colour, and unusual engine noise. The system development process used a waterfall approach that included needs analysis, knowledge base design, interface creation, and system testing. The test results showed that the system was able to detect 94% of damage types with high accuracy based on the combination of symptoms provided by the user. Thus, this system can be an effective tool in engine maintenance activities and improve production process efficiency in industrial environments.
Co-Authors Abdurahman, Sani Andi Arfian Bachri, Chaerul Cahyadi, Cepi Candra, Edo Nado Edhi Prayitno, Edhi Eka Safitri, Juniarti Febriawan, Arvelian Chris Hajar, Baiq Siti Hartana, Hartana Herryansyah, Herryansyah Hibono, Leonita Hilmi, Ahmad Nidzom Imaniyar, Revita Ismail, Rima Ruktiari Joko Triyono Kresna Agung Yudhianto Lutfiyana, Nur Maria Lapriska Dian Ela Revita Nurhasan Nugroho Sinta Rukiastiandari Suwito, Bayu Jayus Syafrianto, Syafrianto Wasesha, Dian Ambar Wijaya, Hamid Wijayanti, Diah Yoraeni, Ani