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Analisis Pengelolaan Arsip Konvensional pada Divisi Administrasi Keuangan di PT Berlian Laju Tanker Tbk Yashi Nicafisa Riventa Br Ginting; Dewi Nurmalasari; Suherdi Suherdi
Jurnal Ilmiah Ekonomi dan Manajemen Indonesia Vol. 2 No. 1 (2026): JANUARI -JUNI
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/05skx928

Abstract

This study aims to analyze the conventional archive management system in the Financial Administration Division at PT Berlian Laju Tanker Tbk, including the storage system, challenges faced, and efforts to improve security. This study employed a qualitative approach with a case study method. Data were collected through observation, interviews, and documentation involving four informants from the Finance Division. The results indicate that the conventional archive management system is still actively used alongside the digital system, as physical documents such as transaction evidence, payment vouchers, and financial reports are considered to have high authenticity value. The manual storage system using filing cabinets with classification based on transaction type and time period reflects the implementation of chronological and subject-based storage systems. The main challenges include limited storage space due to the increasing volume of documents without periodic disposal, leading to accumulation that reduces document retrieval efficiency and increases the risk of physical damage to archives. Efforts to improve security include strengthening physical management through systematic arrangement and digitalization through document scanning as a backup. The implementation of a dual storage system (physical and digital) is considered capable of enhancing information security and accelerating document retrieval. The findings of this study confirm that the combination of well-organized physical archive management and the utilization of digital technology is an effective strategy in maintaining the security and sustainability of archives.
Analisis Efisiensi Penyimpanan Arsip Digital Berbasis ELVIS Pada PT. Kornet Logistics Sultan Salahuddin Al Ayyubi; Darma Rika Swaramarinda; Suherdi Suherdi
JURNAL ILMIAH EKONOMI, MANAJEMEN, BISNIS DAN AKUNTANSI Vol. 3 No. 3 (2026): MEI
Publisher : CV. KAMPUSA AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jemba.v3i3.2360

Abstract

. PT. Kornet Logistics is a company operating in the Logistics industry that uses the ELVIS system as an administrative tool. This study aims to identify and analyze the management process, efficiency levels, and factors influencing the efficiency of digital archive storage based on the ELVIS software in office administration at PT. Kornet Logistics. This study employs a descriptive qualitative approach. Data collection was conducted through observation, interviews, and documentation involving 5 (five) employee informants who use the system in their daily work. The research results conclude that the implementation of the ELVIS system at PT. Kornet Logistics is well-structured through access rights management tailored to employee positions and a systematic storage process. In terms of efficiency, the ELVIS system has proven highly effective in improving the speed and accuracy of document searches, reducing search time from hours to less than 5 minutes with the help of search filter features. This implementation has also had a positive impact on employees’ workspaces, which have become more organized as physical files can be directly transferred to the warehouse. The primary factor contributing to this efficiency is perceived ease of use, thanks to the system’s user-friendly interface. However, this efficiency still faces several obstacles, including a high reliance on internet stability, the occurrence of human error, and the fact that a fully paperless work environment has not yet been achieved due to regulations requiring physical printing for invoicing and a five-year document retention policy.
MANAJEMEN KEARSIPAN PADA PERUSAHAAN X Sella Septia Claudia; Christian Wiradendi Wolor; Suherdi Suherdi
TRANSEKONOMIKA: AKUNTANSI, BISNIS DAN KEUANGAN Vol. 3 No. 2 (2023): March 2023
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/transekonomika.v3i2.395

Abstract

Archive management as archive storage, which is the process of maintaining and securing company records or records, in the success of records management must run on a process that includes classification, creation, receipt, and maintenance of records. This study aims to determine the archive storage system, guidelines for lending archives and obstacles to borrowing archives. This study uses a qualitative method in a descriptive form with a case study approach. The subjects in this study were 4 (four) people using a purposive sampling technique. The results of the study show that there are two archive storage systems in Company X, namely, active archives and inactive archives. Borrowing archives is in accordance with applicable procedures, however, problems in the borrowing of archives still often occur because in the procedure there is no period of time for borrowing archives, this makes employees forget about returning archives and lack of employee awareness of the importance of archives.
Pelatihan Infografis berbasis AI bagi Guru SDN 1 Cipining untuk Mendukung Media Pembelajaran Wida Aristanti; Muhammad Ikhwan; Suherdi Suherdi; Rayi Dwipanilih; Windy Permata Suyono; Wahyu Lestari
Jurnal Pemberdayaan Masyarakat Universitas Al Azhar Indonesia Vol 8, No 1 (2025): Desember 2025
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/jpm.v8i1.4665

Abstract

Abstrak Perkembangan teknologi berbasis kecerdasan buatan (AI) membawa dampak  dalam dunia pendidikan, terutama dalam penyajian materi pembelajaran agar lebih menarik dan mudah dipahami oleh siswa. Salah satu bentuk pemanfaatan teknologi dapat melalui infografis berbasis AI yang dapat membantu guru menyampaikan materi secara visual dan sistematis. Infografis dapat membantu guru untuk membuat laporan atau karya dengan mudah dan kreatif. Kegiatan pengabdian kepada masyarakat bertujuan untuk meningkatkan kompetensi guru di SDN 1 Cipining dalam mengembangkan dan menggunakan infografis berbasis AI sebagai media pembelajaran di kelas. Kegiatan pelatihan ini diikuti oleh 10 guru SDN 1 Cipining. Metode yang digunakan dalam kegiatan ini terdiri  sosialisasi dan pelatihan dimana guru tidak hanya menerima materi, tetapi juga mempraktikkan keterampilan yang diperoleh. Hasil dari pengabdian masyarakat menunjukkan adanya peningkatan kemampuan guru di SDN 1 Cipining, dalam merancang infografis sesuai dengan kebutuhan pembelajaran. Berdasarkan hasil pre-test dan post test, didapat peningkatan motivasi guru sebesar 31%, penguasaan dan pemahaman teknologi infografis berbasis AI sebesar 58%, dan peningkatan kualitas media pembelajaran sebesar 36% . Program ini menunjukkan bahwa integrasi teknologi digital dapat memperkuat kualitas pembelajaran. Model pelatihan ini diharapkan dapat direplikasi di sekolah lain guna mendorong transformasi pendidikan berbasis teknologi. Kata kunci: Infografis, Kecerdasan Buatan (AI), Pelatihan Guru, Pembelajaran Digital.
Green Algorithms: Unveiling the Role of AI in Shaping More Sustainable Consumers Suherdi; Muhammad Ikhwan; Munawaroh; Wida Aristanti; Della Rulita Nurfaizana; Muthya Rahma; Syaifullah Abrar
Jurnal Riset Pendidikan Ekonomi Vol. 11 No. 1 (2026): APRIL
Publisher : Fakultas Ekonomika dan Bisnis, Universitas Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/jrpe.v11i1.12767

Abstract

This study aims to analyze the impact of information quality and service quality on customer satisfaction, with customer experience serving as a mediating variable within the context of artificial intelligence (AI)-based digital services. As Jakarta continues to evolve as a digital economic hub, the integration of AI into customer interactions has become crucial, yet it presents challenges regarding information accuracy and user trust. The research employs a quantitative approach, utilizing a survey method conducted among 350 university students in Jakarta who are active users of AI-driven digital platforms. Data analysis was performed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings indicate that both information quality and service quality have a significant positive influence on customer experience. Empirical results confirm that customer experience acts as a significant mediator in the relationship between the independent variables and customer satisfaction. The research model yielded an R-square value of 0.64 for customer satisfaction, demonstrating strong predictive power. These results emphasize that providing accurate information and responsive service is essential for creating a satisfying digital experience in the AI era. Practical implications suggest that digital service providers must prioritize the quality of automated system interactions to build sustainable relationships with consumers.