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All Journal International Journal of Electrical and Computer Engineering Jurnal Ergonomi Indonesia (The Indonesian Journal of Ergonomic) Bulletin of Electrical Engineering and Informatics YUDISIA : Jurnal Pemikiran Hukum dan Hukum Islam Al-sihah: The Public Health Science Journal Volksgeist: Jurnal Ilmu Hukum dan Konstitusi
Al Mamun, Abdullah
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Religion Computer Science & IT Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Public Health Social Sciences

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Islamic Law Study of Persuasive Communication After The Occurrence Of Polygamy in Kauman Society Ibrahim, Malik; Al Mamun, Abdullah; Jarong, Koree; Bouaoune, Djihad; Mubarrok, Muhammad Agus Wahid; Ramadhonah, Indah Siti; Dharojah, Rakhma Widya
YUDISIA : Jurnal Pemikiran Hukum dan Hukum Islam Vol 15, No 1 (2024): YUDISIA : Jurnal Pemikiran Hukum dan Hukum Islam
Publisher : Program Studi Hukum Keluarga Islam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21043/yudisia.v15i1.24989

Abstract

Polygamy is one of the actions that many men even desire even though many women refuse to be polygamous, but there are also some women who are willing to be polygamous with certain guarantees and conditions. Polygamy is very influential in the division of the household, this problem can be solved by using persuasive communication even though this is not the main factor to increase the harmonious family after polygamy. This study aims to analyse what efforts are made by married couples in re-improving family harmony after disputes due to polygamy, what models and principles of persuasive communication are used by husbands in persuading wives after quarrels due to polygamy. This research uses descriptive qualitative research. This research uses data collection techniques of observation, interviews, and documentation. Data analysis techniques use data reduction and conclusion drawing, and data validity with triangulation. The results of the study show that efforts to improve family harmony after polygamy can be done by persuading and convincing the wife, making a stamped agreement letter to divorce the second wife, asking for prayer and guidance from a kyai, and a husband arguing how his children will fare when fighting and divorcing. In the persuasive communication model, a husband uses probabilogical persuasiveness, and in the principle of persuasive communication, a husband uses the principle of hope.
Efficient lane marking detection using deep learning technique with differential and cross-entropy loss Al Mamun, Abdullah; Em, Poh Ping; Hossen, Md. Jakir; Tahabilder, Anik; Jahan, Busrat
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 4: August 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i4.pp4206-4216

Abstract

Nowadays, researchers are incorporating many modern and significant features on advanced driver assistance systems (ADAS). Lane marking detection is one of them, which allows the vehicle to maintain the perspective road lane. Conventionally, it is detected through handcrafted and very specialized features and goes through substantial post-processing, which leads to high computation, and less accuracy. Additionally, this conventional method is vulnerable to environmental conditions, making it an unreliable model. Consequently, this research work presents a deep learning-based model that is suitable for diverse environmental conditions, including multiple lanes, different daytime, different traffic conditions, good and medium weather conditions, and so forth. This approach has been derived from plain encode-decode E-Net architecture and has been trained by using the differential and cross-entropy losses for the backpropagation. The model has been trained and tested using 3,600 training and 2,700 testing images from TuSimple, a robust public dataset. Input images from very diverse environmental conditions have ensured better generalization of the model. This framework has reached a max accuracy of 96.61%, with an F1 score of 96.34%, a precision value of 98.91%, and a recall of 93.89%. Besides, this model has shown very small false positive and false negative values of 3.125% and 1.259%, which bits the performance of most of the existing state of art models.
A deep learning approach for COVID-19 and pneumonia detection from chest X-ray images Musha, Ahmmad; Al Mamun, Abdullah; Tahabilder, Anik; Hossen, Md. Jakir; Hossen, Busrat; Ranjbari, Sima
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 4: August 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i4.pp3655-3664

Abstract

There has been a surge in biomedical imaging technologies with the recent advancement of deep learning. It is being used for diagnosis from X-ray, computed tomography (CT) scan, electrocardiogram (ECG), and electroencephalography (EEG) images. However, most of them are solely for particular disease detection. In this research, a computer-aided deep learning model named COVID-CXDNetV2 has been presented to detect two separate diseases, coronavirus disease 2019 (COVID-19) and pneumonia, from the X-ray images in real-time. The proposed model is made based on you only look once (YOLOv2) with residual neural network (ResNet) and trained by a vast X-ray images dataset containing 3788 samples of three classes named COVID-19 pneumonia and normal. The model has obtained the maximum overall classification accuracy of 97.9% with a loss of 0.052 for multiclass classification (COVID-19, pneumonia, and normal) and 99.8% accuracy, 99.52% sensitivity, 100% specificity with a loss of 0.001 for binary classification (COVID-19 and normal), which beats some current state-of-the-art results. Authors believe that this method will be applicable in the medical domain for the diagnosis and will significantly contribute to real life.
IT Professional Work Style Risk Factors for Work-Related Musculoskeletal Disorders Rahma, Ratih Andhika Akbar; Rahmania, Aisy; Arifah, Dian Afif; Prasetya, Tofan Agung Eka; Samad, Nurul Izzah Abdul; Al Mamun, Abdullah
Jurnal Ergonomi Indonesia (The Indonesian Journal of Ergonomic) Vol 10 No 01 (2024): Volume 10 No 01 Tahun 2024
Publisher : Program Studi Magister Ergonomi Fisiologi Kerja Pascasarjana Universitas Udayana Denpasar Bekerjasama dengan Perhimpunan Ergonomi Indonesia (PEI)

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Abstract

Information Technology (IT) professionals suffer musculoskeletal problems and injuries more frequently due to their type of work which makes them rely on using computers for a prolonged time. The goal of this study is to analyze the risk factors for work-related musculoskeletal disorders in IT professionals. Amount of 150 IT professionals participated in this study as respondents. The Cornell Musculoskeletal Disorders Questionnaire (CMDQ) was used as a measurement tool in determining musculoskeletal complaints among IT professionals. The independent variables (age, gender, working experience, educational level, number of hours spent at work in front of a computer per day, working hours, and exercise habits) that significantly affected the variance in the dependent variable (musculoskeletal disorders) were evaluated using multiple linear regression analysis (p-value < 0.05). IT professionals reported experiencing symptoms most frequently 3–4 times per week in the upper back (45.3%) and back (31.3%), and once or twice per week in the upper back (33.3%) and back (31.3%). Then on the discomfort level, IT professionals feel very uncomfortable in the back (71.3%), upper back (68.7%), and neck (64%). The number of hours spent at work in front of a computer per day (p-values of 0.040) and working hours (p-value of 0,032) are significant predictors of IT professional musculoskeletal disorders. IT professionals reported experiencing the greatest musculoskeletal issues in the right upper extremity, which comprises the right wrist, right forearm, right shoulder, and right upper arm (88%). Back (84%) and left lower extremities (82.7%), which include the left thigh, left knee, and left lower legs, are two other issues that most IT professionals have.
A new topology of non-isolated AC-DC quadratic boost converter with enhanced power traits Ahmed, Istiak; Azad, Ferdous S.; Hasan, Shameem; Al Mamun, Abdullah; M. Salim, Khosru
Bulletin of Electrical Engineering and Informatics Vol 13, No 3: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i3.6624

Abstract

A novel AC-DC quadratic boost converter (QBC) topology is presented in this paper which can provide higher power factor (PF), lower total harmonic distortion (THD) and higher voltage when compared to a conventional AC-DC boost convertero This is achieved by using additional switched capacitor and switched inductor in the power processing stage. The presented converter is analyzed theoretically, and a voltage gain equation is derived. A simulation model is created to evaluate the converter performance under various duty cycles, switching frequency, and changing output load. The input PF, THD, and voltage gain of the simulated model were compared with conventional converter to determine the validity of the suggested converter circuit. The results show that the efficiency, PF, THD and voltage gain value reaches approximately 97.9%, 0.98, 16.14, and 2.83 respectively at a duty cycle of 50% with fixed output load of 100 Ω. A dual loop voltage and current controller is also arrayed with the proposed circuit which allows further enhancement in PF (0.997) and THD (7.45%). This converter can be a suitable option for systems where isolation is not necessary but high PF, high voltage gain and low THD are required.
Improving Inpatient Unit Performance Through the Malcolm Baldrige Framework: A Study in a Hospital in Gresik, Indonesia Haksama, Setya; Prayoga, Diansanto; Azhary, Muhammad; Zeinsar, Syahprevi Rayyan; Sriram, Shyamkumar; Al Mamun, Abdullah
Al-Sihah : The Public Health Science Journal Volume 16, Nomor 2, July-December 2024
Publisher : Program Studi Kesehatan Masyarakat UIN Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/al-sihah.v16i2.51415

Abstract

Numerous studies have explored various aspects of performance in healthcare services, including patient satisfaction, staff well-being, and resource capacity. However, research addressing these gaps using the Malcolm Baldrige Performance Criteria framework remains limited. This study aims to evaluate and enhance the inpatient service performance at Mabarrot Gresik Islamic Hospital using the Malcolm Baldrige Performance Criteria model. An analytical observational study with a cross-sectional approach was conducted to analyze the relationships and correlations among eight Malcolm Baldrige criteria: Organizational Profile, Leadership, Strategic Planning, Customer Focus, Measurement, Analysis, and Knowledge Management, Human Resources, Operational Activity Focus, and Results. Data were collected from 34 respondents, comprising medical and non-medical staff, using a validated (CVI = 0.77) and reliable (α = 0.986) questionnaire. The analysis revealed that Human Resources (r = 0.993), Results (r = 0.837), and Strategic Planning (r = 0.758) demonstrated very strong relationships with Customer Focus, indicating these areas significantly impact inpatient service performance. Furthermore, a strong correlation was found between Customer Focus and Results (r = 0.837), emphasizing the importance of prioritizing patient satisfaction to achieve better outcomes. However, the study identified a weak relationship between the Organizational Profile and Measurement, Analysis, and Knowledge Management criteria, indicating a misalignment that requires attention. The findings suggest that improving human resource performance and addressing customer needs are critical strategies for enhancing inpatient services.
Health Security Policies: A Comparative Study Through Constitutional Frameworks and the Insights of Veronica Rodriguez-Blanco Budiono, Arief; Gulyamov, Said Saidakhrarovich; Nugroho, Heru Santoso Wahito; Al Mamun, Abdullah; Mustaffa, Amin
Volksgeist: Jurnal Ilmu Hukum dan Konstitusi Vol. 8 Issue 2 (2025) Volksgeist: Jurnal Ilmu Hukum Dan Konstitusi
Publisher : Faculty of Sharia, Universitas Islam Negeri (UIN) Profesor Kiai Haji Saifuddin Zuhri Purwokerto, Indonesia

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Abstract

In Indonesia, the 1945 Constitution mandates the establishment of health social security. Similarly, Section 15 of Article II of the Philippines’ 1987 Constitution asserts that the state has a duty to protect and promote the right to health for its citizens. Bangladesh’s Constitution, while not explicit, recognizes healthcare as a fundamental human right under Articles 15 (which addresses the provision of basic necessities) and 18 (which pertains to public health). Through a classic socio-dogmatic research method—a type of normative legal research—this study interprets how these constitutional provisions are implemented in practice. While Indonesia’s constitution clearloy requires the state to ensure health security, the government often falls short, lacking sufficient financial supports. In the Philippines, health security initiatives are gradually expanding but also suffer from inadequate funding. In contrast, Bangladesh has not prioritized health security, focusing instead on food security without emphasizing health as a state responsibility. Applying Rodriguez-Blanco’s theory reveals that Indonesia’s approach to social security leans towards an insurance model due to its reluctance to allocate adequate funds. In the Philippines, there is progress, albeit slow and underfund, while Bangladesh’s lack of health security development stems from its prioritization of basic food needs over health provisions.
Co-Authors Ahmed, Istiak Arief Budiono Arifah, Dian Afif Azad, Ferdous S. Azhary, Muhammad Bouaoune, Djihad Dharojah, Rakhma Widya Diansanto Prayoga Em, Poh Ping Gulyamov, Said Saidakhrarovich Hasan, Shameem Heru Santoso Wahito Nugroho Hossen, Busrat Hossen, Md. Jakir Jahan, Busrat Jarong, Koree M. Salim, Khosru Malik Ibrahim Mubarrok, Muhammad Agus Wahid Musha, Ahmmad Mustaffa, Amin Prasetya, Tofan Agung Eka Rahmania, Aisy Ramadhonah, Indah Siti Ranjbari, Sima Ratih Andhika Akbar Rahma Samad, Nurul Izzah Abdul Setya Haksama Sriram, Shyamkumar Tahabilder, Anik Zeinsar, Syahprevi Rayyan