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All Journal Jurnal Pilar Nusa Mandiri SENTRALISASI Jurnal Informatika Ekonomi Bisnis Jurnal Teknik Informatika (JUTIF) Journal La Bisecoman Jurnal Alwatzikhoebillah : Kajian Islam, Pendidikan, Ekonomi, Humaniora Proceedings Series on Social Sciences & Humanities Tata Kelola Journal of Management Sains (JMS) JUPADAI : Jurnal Pengabdian Kepada Masyarakat Paradoks : Jurnal Ilmu Ekonomi Jurnal Informatika Ekonomi Bisnis Journal of Modern Islamic Studies and Civilization POMA JURNAL
Nasir Hamzah
U.S. Naval Medical Research Unit No.2, Jakarta, Indonesia
Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences Other

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Adaptive AI for the King of Diamonds Game: A Bayesian Approach to Imperfect Information and 0.8-Average Dynamics Hamzah, Nasir; Na`am, Jufriadif
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 3 (September 2025): Accepted
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i3.1212

Abstract

This research delves into the algorithmic complexities of the King of Diamonds game from Alice in Borderland II, a unique variant of the Keynesian Beauty Contest. This game features imperfect information, dynamic player elimination, and a critical rule where the objective is to choose a number closest to 80% of the average of all chosen numbers. We propose and evaluate a Bayesian Learning Agent designed to adapt its strategy against diverse opponents. The BLA employs Bayesian inference to dynamically update its beliefs about opponent behaviors, integrating these predictions into a Keynesian Beauty Contest decision-making framework. Through extensive simulations, the BLA consistently demonstrates superior performance. For instance, in games against four random opponents, the BLA achieved a survival rate of 67.00%, significantly outperforming the random players' combined 33.00% survival rate, and consistently maintained an average absolute distance to the target of 10.59 units across rounds. Notably, against four naive Fifty players, the BLA achieved a 100.00% survival rate with an extremely low average distance of 0.08 units, concluding games in a single round. Furthermore, the study provides a specialized algorithmic analysis for the game's challenging two-player endgame, where it exhibited a 1.30% draw rate in relevant scenarios. Our findings offer novel insights into designing adaptive AI agents for complex, imperfect information games with unique convergence dynamics, extending the understanding of computational strategies in evolving competitive environments.
The Effect of Excellent Service and Product Image on Customer Loyalty Through Satisfaction as an Intervening Variable at PT. Papua Regional Development Bank Sentani Branch Office Indriani, Putri; Daga, Rosnaini; Hamzah, Nasir
Proceedings Series on Social Sciences & Humanities Vol. 25 (2025): Proceedings of International Conference on Social Science (ICONESS)
Publisher : UM Purwokerto Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/pssh.v25i.1791

Abstract

This study aims to examine the influence of service excellence and product image on customer loyalty through satisfaction as an intervening variable at PT. Bank Pembangunan Daerah Papua, Sentani Branch Office. The research was conducted at the Sentani Branch of PT. Bank Pembangunan Daerah Papua over a period of two months, from May to June 2025. The population of this study consists of customers of the Sentani Branch who have been banking with the institution for more than two years. The sample was determined using the Slovin formula, resulting in a total of 100 respondents. This research employed a survey method by distributing questionnaires to the respondents. The statistical method used to test the hypotheses was Partial Least Squares (PLS). The analysis results show that service excellence has a positive and significant effect on customer satisfaction; product image has a positive and significant effect on customer satisfaction; service excellence has a positive but not significant effect on customer loyalty; product image has a positive and significant effect on customer loyalty; customer satisfaction has a positive but not significant effect on customer loyalty; service excellence has a positive but not significant effect on customer loyalty through customer satisfaction as an intervening variable; and product image has a positive but not significant effect on customer loyalty through customer satisfaction as an intervening variable.
APPLICATION OF ARTIFICIAL NEURAL NETWORK METHODS TO DETECT HEART ATTACKS Hamzah, Nasir; Rianto, Yan
Jurnal Pilar Nusa Mandiri Vol. 21 No. 2 (2025): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Pe
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v21i2.6413

Abstract

A heart attack is a medical emergency caused by restricted blood flow to the heart, commonly leading to myocardial infarction due to blood clots or fat accumulation. Early detection of heart disease is crucial to support prevention efforts and assist healthcare professionals in timely diagnosis and treatment. This study applies the Backpropagation Neural Network (BPNN) algorithm as an intelligent computing method for heart attack detection. Experimental results demonstrate a prediction accuracy of 96.47%, confirming the effectiveness of artificial neural networks in identifying heart attacks in patients. These findings highlight the potential of BPNN as a reliable and precise early detection system, which can support more accurate clinical decision-making and improve the effectiveness of heart attack prevention and treatment.
Tantangan Sektor Industri Halal Prioritas di Indonesia Hutagaluh, Oskar; Hamzah, Nasir; Siradjuddin, Siradjuddin
Jurnal Alwatzikhoebillah : Kajian Islam, Pendidikan, Ekonomi, Humaniora Vol. 9 No. 2 (2023): Jurnal Alwatzikhoebillah : Kajian Islam, Pendidikan, Ekonomi, Humaniora
Publisher : Institut Agama Islam Sultan Muhammad Syafiuddin Sambas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37567/alwatzikhoebillah.v9i2.2223

Abstract

Pemerintah Indonesia melalui Kementerian Perindustrian telah menetapkan tujuh sektor industri prioritas. Sejalan dengan itu, perhatian pemerintah terhadap sektor industri halal juga kian meningkat. Muncullah tiga sektor industri prioritas yang meliputi makanan dan minuman, fashion syariah, dan farmasi. Penelitian ini menerapkan paradigma penelitian kualitatif dan termasuk ke dalam jenis penelitian kepustakaan. Berdasarkan penelitian ini, diperoleh hasil bahwa sektor industri halal prioritas di Indonesia masih menghadapi sejumlah tantangan antara lain: kebergantungan pada impor dari negara-negara luar, keterjaminan kehalalan bahan baku yang tidak sepenuhnya bersifat traceable. Ketiga, tantangan bahan baku yang lebih murah ditawarkan oleh negara luar.
PELATIHAN PENGEMBANGAN HUBUNGAN KELOMPOK KERJA DENGAN INDUSTRIAL DALAM MENINGKATKAN KUALITAS USAHA DAN KESEJAHTERAAN KELOMPOK KERJA Daga, Rosnaini; Karta Negara Salam, karta; Hamzah, Nasir; Suwandaru, Rachman; Ashary, Muhammad; Pasae, Panus; Rinaldi, Rinaldi
JUPADAI : Jurnal Pengabdian Kepada Masyarakat Vol. 2 No. 1 (2023): Volume 2 Nomor 1 2023
Publisher : Asosiasi Dosen Akutansi Indonesia, KEPRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64795/jupadai.v2i1.87

Abstract

The purpose of implementing this training is to provide understanding to the training participants regarding the Development of Working Group Relations with Industrial in Improving Business Quality and Working Group Welfare, those attending the training are business owners who employ several people as employees. These business owners are given education so they are able to establish good relations with employees. Training participants can create Industrial Relations and Labor Welfare, are able to plan, coordinate, implement and control activities in the field of Industrial Relations and Labor Welfare because in an organization or company, there is not only a relationship based on professionalism between the company and its employees, but an organization A successful company must have good industrial relations or industrial relations between management and workers
The Role of Deep Learning in Cancer Detection: A Systematic Review of Architectures, Datasets, and Clinical Applicability Abdurrahman, Muhammad Farhan; Rianto, Yan; Hamzah, Nasir; Firmansyah, Muhammad; Prawira, Nurul Adi; Nugraha, Thomas Fajar
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 5 (2025): JUTIF Volume 6, Number 5, Oktober 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.5.4748

Abstract

Early cancer detection continues to be a significant challenge in clinical practice due to limitation of conventional diagnostic technique that often takes time and error prone. This systematic review evaluates the efficacy of deep learning (DL) architecture and datasets to improve cancer detection and diagnosis. We performed a structural analysis on 40 high-impact research paper published in Q1 journals between 2014 and 2025, considering DL model performance, datasets, and clinical relevance. Results indicate that fundamental architectures such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) consistently report high diagnostic accuracy (>90%) on radiology- and histopathology-based imaging datasets. Conversely, DL performance on non-imaging clinical data, including electronic medical records (EMDs), is more varied. Evaluation metrics such as AUC and DICE shows the trade-off between classification precision and segmentation accuracy. Despite their potential, DL models have significant limitations in terms of generalization, interpretability, and integration within real-world clinical workflows. This review highlights the need for standardized evaluation, implementation of ethical models, and multi-modal data fusion to facilitate wider and more equitable clinical uptake of DL in cancer diagnostics.
Co-Authors Abdi, Muhammad Nur Abdurrahman, Muhammad Farhan Amir Mahmud Ashary, Muhammad Asraf Bachtiar, Muhammad Harsya Hamid, Mulyadi Hastuti, Wulan Rudi Hutagaluh, Oskar Indriani, Putri Islam, Muh. Syaiful Jufriadif Na`am, Jufriadif Kadir, Amiruddin Karta Negara Salam, karta Lamo, Muchtar Massarapa, Muhammad Ismail Rizqi Muhammad Firmansyah, Muhammad Muliyadi Hamid Nugraha, Thomas Fajar Odja, Maryam Pasae, Panus Prawira, Nurul Adi Rianto, Yan Rinaldi Rinaldi Rosnaini Daga Said, Syahnur Siradjuddin Siradjuddin, Siradjuddin Suwandaru, Rachman Walianggen, Simson Yuniarti, Desi Zainal Arifin Zakaria, Junaidin