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

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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)

Show Abstract | Download Original | Original Source | Check in Google Scholar

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, Aminuddin
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24090/volksgeist.v8i2.10524

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.
Ensemble recursive feature elimination-based ensemble classification for medical diagnosis Ramanathan, Thirumalaimuthu Thirumalaiappan; Hossen, Md. Jakir; Al Mamun, Abdullah; Raja, Joseph Emerson
Indonesian Journal of Electrical Engineering and Computer Science Vol 40, No 2: November 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v40.i2.pp758-771

Abstract

The application of data mining techniques for the extraction of patterns from medical datasets is useful in the prediction of various diseases from the data of patients. An appropriate feature selection method is required for the medical datasets to give better results for the medical data mining process. In data preprocessing, feature selection is an important process that finds the most relevant features from the dataset. Considering all features of the medical dataset without using any feature selection process may sometimes lead to inaccurate results. Most of the medical datasets contain meaningless data that are not relevant to the data mining process. These data can be eliminated through the feature selection process. This paper presents an integration of an ensemble feature selection approach and an ensemble classification approach through a classifier called the ensemble recursive feature elimination-based ensemble classifier (ERFE-EC) for the classification of medical data. Four different medical datasets were used for testing the ERFE-EC method, which showed promising results.
The Relationship Between Toluene Intake with LDL and MDA Levels in Car Painting Workshop Workers Dwicahyo, Herman Bagus; Tualeka, Abdul Rohim; Prasetya, Tofan Agung Eka; Al Mamun, Abdullah; Rahmawati, Nur Anisah
Public Health of Indonesia Vol. 12 No. 1 (2026): January - March
Publisher : YCAB Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36685/phi.v12i1.1139

Abstract

Background: Oxidative stress can cause health problems for workers and affect productivity for workers. Low-Density Lipoprotein (LDL) and Malondialdehyde (MDA) levels a biomarkers for systemic oxidative stress. Car painting and body repair businesses play a crucial role in preventing corrosion and damage from crashes by employing a variety of processes. The worker in the stage poses the highest risk of exposure to the chemical substance known as toluene. Objective: The purpose of this study is to investigate the relationship of toluene intake with Low-Density Lipoprotein (LDL) and Malondialdehyde (MDA) levels. Methods: This study employed an observational research design with a cross-sectional method. All 30 car painting workshop workers in sanding, caulking, painting, polishing, and finishing are included in this research. Workers were measured for exposure to Toluene and Low-Density Lipoprotein (LDL) and Malondialdehyde (MDA) levels. Data were analyzed descriptively and statistically. Results: Almost half of the total workers are adults. More than half of the total workers have a working period of 8 hours/day, have a working period of up to 10 years, and BMI in the normal category. Only a small number of workers do not smoke. Toluene exposure that enters the body of workers has more than the reference dose and is found in more than half of the total workers. Most workers have optimal LDL. More than half of the total workers have low MDA. The results of the Toluene exposure test with LDL obtained p = 0.098, and toluene exposure with MDA (malondialdehyde) obtained p = 0.045. Conclusion: There is a relationship between Toluene and MDA, but not with LDL. This indicates the need for efforts to anticipate Toluene exposure in companies to prevent oxidative stress, preceded by an increase in MDA. Keywords: Toluene; Low-Density Lipoprotein; Malondialdehyde; Car painting; Worker
Assessment of Performance Based on Malcolm Baldrige Criteria For Performance Excellent In The In-Patient Unit at Islamic Hospital Mabarrot Gresik Haksama, Setya; Farid Dimjati Lusno, Muhammad; Prayoga, Diansanto; Azhary, RN, Muhammad; Sriram, Shyamkumar; Setyo Adji, Arga; Maulana Satrioaji, Abdillah; Al Mamun, Abdullah; Zeinsar, Syahprevi Rayyan
Public Health of Indonesia Vol. 12 No. 1 (2026): January - March
Publisher : YCAB Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36685/phi.v12i1.1266

Abstract

Background: Hospital service performance plays a crucial role in healthcare competition, as it directly influences patient satisfaction, operational efficiency, and the reputation of the institution. In a competitive healthcare environment, hospitals are continuously striving to improve their service quality and operational outcomes. Performance assessment is essential to assess the effectiveness of hospital management and identify areas for improvement. Objective: Hospital service performance is a critical factor in market competition. Strong performance reflects the hospital's success, making performance assessment essential for continuous improvement Methods: This observational and analytical study uses a cross-sectional approach. The MBCfPE criteria were used as the performance assessment variable. Data were collected from 34 respondents out of 120 employees at the hospital. Results: The performance scores based on the MBCfPE criteria showed that the organizational profile scored 88.97, which is not included in the overall MBCfPE calculation. The leadership criteria scored 62.50, indicating a need for improvement. On the other hand, several criteria scored excellently, including strategic planning (93.86), customer focus (95.37), assessment, analysis, and knowledge management (90.28), human resources focus (97.97), operational activities focus (99.99), and results (97.65). The overall performance score for Islamic Hospital Mabarrot Gresik was 637.56, which falls within the range of 576–675 on the MBCfPE scale, placing it in the Industry Leader category. Despite the good score, the findings indicate that leadership and strategic planning require attention for further improvement to achieve a higher level of organizational performance. Conclusion: The performance of Islamic Hospital Mabarrot Gresik is at an average level, with leadership and strategic planning requiring significant improvement. To enhance organizational performance, focused efforts should be directed towards these criteria, ensuring a thorough and effective implementation of the MBCfPE criteria. Keywords: Hospital performance; Malcolm Baldrige; MBCfPE; organizational performance; healthcare quality
Protection Policy for Breastfeeding Mothers: An Insight from Midwife Ethical Code and Breastfeeding Rights Budiono, Arief; Iriani, Dewi; Mustaffa, Aminuddin; Soekiswati, Siti; Al Mamun, Abdullah
Jurnal Hukum Vol 42, No 1 (2026): Jurnal Hukum
Publisher : Unissula

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26532/jh.v42i1.46505

Abstract

Midwives are legally required to support postpartum women in exercising their right to breastfeed. In practice, many midwives provide formula milk, ignoring the mother's right to breastfeed and potentially harming both mother and baby. The purpose of this paper is to investigate the legal and ethical considerations surrounding midwives and mothers in relation to breastfeeding rights, emphasizing the need for transparency between midwives and mothers. This research uses empirical methods and a qualitative approach. The findings in this paper indicate that mothers are willing to provide informed consent, including information about any conditions that prevent breastfeeding immediately after delivery. Health Law Number 17 of 2023 mandates exclusive breastfeeding and imposes strict sanctions for those who prohibit breastfeeding without medical reasons. Despite this regulation, some midwives still provide formula milk with the verbal consent of postpartum mothers for medical reasons without adequate medical examination.
Co-Authors Abdul Rohim Tualeka Ahmed, Istiak Arief Budiono Arifah, Dian Afif Azad, Ferdous S. Azhary, Muhammad Azhary, RN, Muhammad Bouaoune, Djihad Dewi Iriani Dharojah, Rakhma Widya Diansanto Prayoga Em, Poh Ping Farid Dimjati Lusno, Muhammad Gulyamov, Said Saidakhrarovich Hasan, Shameem Herman Bagus Dwicahyo Heru Santoso Wahito Nugroho Hossen, Busrat Hossen, Md. Jakir Jahan, Busrat Jarong, Koree M. Salim, Khosru Malik Ibrahim Maulana Satrioaji, Abdillah Mubarrok, Muhammad Agus Wahid Musha, Ahmmad Mustaffa, Aminuddin Prasetya, Tofan Agung Eka Rahmania, Aisy Rahmawati, Nur Anisah Raja, Joseph Emerson Ramadhonah, Indah Siti Ramanathan, Thirumalaimuthu Thirumalaiappan Ranjbari, Sima Ratih Andhika Akbar Rahma Samad, Nurul Izzah Abdul Setya Haksama Setyo Adji, Arga Siti Soekiswati Sriram, Shyamkumar Tahabilder, Anik Zeinsar, Syahprevi Rayyan