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All Journal MEANS (Media Informasi Analisa dan Sistem) Journal of Mandalika Literature Jurnal Ilmiah Manajemen Dan Kewirausahaan
Abdul Tahir
Unknown Affiliation
Humanities Computer Science & IT Economics, Econometrics & Finance Social Sciences

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Analisis korelasi dan prediksi Pengaruh Kehadiran dan Disiplin terhadap Capaian Akademik Mahasiswa, Studi Kasus Mahasiswa ATS Musakirawaty; Abdul Tahir; Israkwaty
Journal of Mandalika Literature Vol. 5 No. 4 (2024)
Publisher : Institut Penelitian dan Pengembangan Mandalika (IP2MI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/jml.v5i4.3787

Abstract

This study aims to analyze the influence of attendance, permission, sickness, and discipline on students' Cumulative Grade Point Average (GPA). Consistent attendance in class allows students to follow the subject matter and participate in discussions, potentially increasing GPA. Conversely, permits and illness can interfere with the learning process and negatively impact GPA. Discipline, such as tardiness or inappropriate behavior, can also negatively affect academic performance. This study used Pearson correlation analysis to measure the relationship between independent variables (attendance, permission, illness, discipline) and GPA, as well as linear regression analysis to identify the influence of each factor. Data on attendance, permits, sickness, and discipline were collected from the academic information system for six semesters at one vocational college. The results of the analysis showed that attendance had a strong negative correlation with GPA, while sickness, permitting, and indiscipline also showed a negative relationship with GPA. The linear regression model shows that all these parameters have a negative coefficient to GPA, with permission having the greatest negative influence. This research suggests the importance of policies that encourage consistent attendance and reduce permits and attention to student health and discipline to improve academic achievement.
Performance Analysis of Neural Networks With Backpropagation on Binary and Multi-Class Data Classification Abdul Tahir; Irdam, Irdam; Sirama , Sirama
MEANS (Media Informasi Analisa dan Sistem) Volume 10 Nomor 1
Publisher : LPPM UNIKA Santo Thomas Medan

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Abstract

Neural networks represent a widely adopted paradigm within the domain of machine learning, employed for a multitude of classification endeavors, encompassing image recognition and natural language processing. This investigation seeks to elucidate the influence of varying neuron quantities in hidden layers on the efficacy of neural networks in both binary and multi-class classification endeavors. The research utilizes a dataset procured from images depicting characters and digits, which were transformed into binary format via a thresholding methodology. The neural network architectures comprise one and two hidden layers, which are trained employing the backpropagation algorithm in conjunction with the Adam optimizer. The evaluation of the models is conducted through metrics such as accuracy, loss curves, and confusion matrices. Findings reveal that the configuration featuring two hidden layers with 40 sampai 99 neurons achieves the pinnacle accuracy of 99.64 percent alongside optimal loss stability. Furthermore, models incorporating a single hidden layer exhibited commendable accuracy, thereby indicating that a reduced number of neurons can proficiently encapsulate data complexity in less demanding tasks. This research underscores the criticality of selecting suitable neural network configurations contingent upon data complexity and classification objectives, while advocating for further investigation into regularization strategies to enhance performance.
Analisa Risiko Kecelakaan Kerja di Departemen Logistik pada PT. Huayue Nickel Cobalt dengan Menggunakan Metode Hirarki Pengendalian Resiko dan HIRADC Awwal Hajarul Tahir; Amri Yanuar; M. Ardhya Bisma; Abdul Tahir
Jurnal Ilmiah Manajemen dan Kewirausahaan Vol. 4 No. 2 (2025): Jurnal Ilmiah Manajemen dan Kewirausahaan
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jimak.v4i2.4160

Abstract

PT. Huayue Nickel Cobalt (called hync) is a joint venture between Zhejiang Huayou Cobalt Co., Ltd. And China Molybdenum Co., Ltd. As well as Tshingshan Stainless Steel in October 2018, the business range includes resource development, a nickel-cobalt metal extraction, and an integrated to completed product processing. The project adopts third-generation High Pressure Acid Leaching (HPAL) technology, one of the most sophisticated nickel processing technologies in the world. This technology enabled the maximum use of all the components of precious metals in the laterite nickel ore. This can thus extract nickel, cobalt, and manganese both simultaneously and integrated into the production of fresh energy batteries. HIRADC plays a crucial role in the K3 management system because it serves as a cornerstone of prevention and risk control efforts. Its application helps companies in determining effective safety and occupational strategies and strategies. PT Huayue Nickel Cobalt has its own problems with implementation, and there are several obstacles, such as a lack of employee awareness of safety procedures, a standard operational breach. This problem can affect company productivity and employee welfare, so further effort is needed to improve the works surveillance and safety training systems. The application of HIRADC assists in the creation of risk-control strategies for risk-control methods is proven to be effective in providing structured guidance for risk assessment, from danger identification, risk assessment, to appropriate control recommendations. This analysis can provide a basis for management decision making.
Co-Authors Amri Yanuar Awwal Hajarul Tahir Irdam, Irdam Israkwaty Muhammad Ardhya Bisma Musakirawaty Sirama , Sirama