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All Journal Kompak : Jurnal Ilmiah Komputerisasi Akuntansi JURNAL EKONOMI MANAJEMEN AKUNTANSI Jurnal Teknologi Informasi dan Komunikasi Teknik: Jurnal Ilmu Teknik dan Informatika MANAJEMEN Dinamika Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer JURNAL AKUNTANSI DAN BISNIS Jurnal Manajemen Informatika & Teknologi Journal of Management and Informatics Jurnal Ilmiah Sistem Informasi Jurnal Ilmiah Akuntansi Jurnal Informatika dan Kesehatan
Sukemi Kamto Sudibyo
Universitas Sains Dan Teknologi Komputer
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Other

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Leveraging Machine Learning for Talent Acquisition: Predicting High-Performance Candidates in Human Resource Management Wahyuning, Sri; Sudibyo, Sukemi Kamto
Journal of Management and Informatics Vol. 3 No. 1 (2024): April Season| JMI: Journal of Management and Informatics
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jmi.v3i1.44

Abstract

This study explores the application of machine learning (ML) in human resource (HR) management to enhance the recruitment process by predicting high-performing candidates. The research addresses gaps in traditional recruitment methods, which are often time-consuming and susceptible to subjective bias. By employing a Random Forest algorithm, this study utilizes a dataset of 10,000 records, encompassing attributes such as education, work experience, psychometric assessments, and interview evaluations. Data were divided into 70% training and 30% testing sets to ensure robust model evaluation. The findings demonstrate that the Random Forest model achieved a prediction accuracy of 87%, outperforming traditional methods and other ML models like Logistic Regression. The model's ability to identify key attributes contributing to candidate performance underscores its potential for data-driven decision-making in HR management. However, challenges such as data bias, algorithmic transparency, and resistance to technological change were identified as barriers to implementation. This research contributes to the theoretical and practical understanding of ML in HR by offering a predictive model that balances accuracy with interpretability. Practical implications include strategies for integrating ML into existing HR systems, emphasizing the importance of explainable AI to foster trust among practitioners. The study concludes that ML-based recruitment can significantly improve efficiency, objectivity, and the quality of hiring decisions, paving the way for more innovative and strategic HR practices.
Sistem Informasi Akuntansi Multiuser dalam Operasional Usaha Rental Mobil CV. Ranggawarsita Tour Endaryati, Eni; Sri Wahyuning; Sukemi Kamto Sudibyo; Fransiska Bhoko
Jurnal Manajemen Informatika & Teknologi Vol. 5 No. 2 (2025): Oktober : Jurnal Manajemen Informatika & Teknologi
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/215etd21

Abstract

The advancement of information technology has encouraged various business sectors, including transportation services, to carry out digital transformation. This study aims to create a multi-user-based accounting information system and implement it in CV. Ranggawarsita Tour, a car rental company in Semarang that previously used manual methods. The system development uses SDLC and data is obtained directly through interviews and surveys in the company as well as literature studies. The system developed has proven to be able to increase efficiency in documenting transactions, processing customer data, and compiling financial information quickly and on time. The system was created using the PHP and MySQL programming languages ​​to store data. The results of this study conclude that a multi-user-based accounting information system overcomes operational obstacles and provides support to companies in providing reliable financial information.
Jurnal Sistem Informasi Persediaan Barang Dengan Metode Buffer Stock Berbasis Web Firnanda, Silma; Aqham, Ahmad Ashifuddin; Sudibyo, Sukemi Kamto; Siswanto, Edy
Teknik: Jurnal Ilmu Teknik dan Informatika Vol. 5 No. 2 (2025): Oktober : Teknik: Jurnal Ilmu Teknik dan Informatika
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/teknik.v5i2.979

Abstract

Inventory management plays a crucial role in ensuring smooth business operations by preventing stockouts that may cause losses. Toko Cat Gani still relies on manual recording, which is prone to data loss, duplicate entries, and delays in stock reporting, thus requiring a systematic solution. This study aims to design and implement a web-based inventory information system using the buffer stock method to overcome these issues. The research method employed is Research and Development (R&D) with a prototype model, consisting of needs analysis, system design, validation, and testing stages. The system was developed using PHP, MySQL, and XAMPP, featuring item data management, supplier management, inbound and outbound transactions, buffer stock calculations, and real-time inventory reports. The implementation results show that the system facilitates transaction recording, minimizes data entry errors, provides notifications when stock reaches the minimum threshold, and generates accurate and timely reports. Expert validation and user testing confirm that the system is feasible and effective in supporting inventory management at Toko Cat Gani. Therefore, the implementation of a web-based inventory information system with the buffer stock method can be considered an efficient and reliable solution to improve accuracy and effectiveness in inventory control.
Co-Authors Agus Priyadi Ahmad Ashifuddin Aqham Aliveia Orenzia Ana Safitri Bagus Sudirman Delinda Dalis Yuliani Dewi Astuty Eko Siswanto Elys Amalia Emi Wirahmayani ENI ENDARYATI Eni Endaryati Evita Dwi Damayanti Firnanda, Silma Fitri Nur Asriyah Fitri Puji Astuti Fransiska Bhoko Haris Ihsanil Huda Hedy Kuswanto Hidayatul Khikmah Isma, Syahadah kumalasari subroto, vivi Laksamana Rajendra Haidar Azani Fahmi Miftahurrohman Moh. Muthohir Muhammad Daffa Mahendra Munifah NUR ROKHMAN Nur Rokhman Nur Romdhonah, Fitri Ratnaningrum Ratnaningrum Sabrina Intan Pratiwi Siswanto, Edy Siswanto, Edy Sonia Varian Valmai Sri Wahyuning Sri Wahyuning . Tantik Sumarlin . Tiara Ayu Marensa Vivi Kumalasari Subroto Vivi Kumalasari, Vivi Wahyu Ariyani