Fadli Akbar - Academia.edu (original) (raw)

Papers by Fadli Akbar

Research paper thumbnail of The Reform of Corruption Eradication in Indonesia: The Prismatic Law in the Recent Context

Mimbar Hukum - Fakultas Hukum Universitas Gadjah Mada

This paper aims to investigate the reform of corruption eradication in Indonesia from three cruci... more This paper aims to investigate the reform of corruption eradication in Indonesia from three crucial aspects: the form of the Corruption Eradication Commission (KPK), the formulation of corruption in material and formal aspects, and other additional support system such as asset recovery and the protection of justice collaborator and whistle blower. This paper is a normative-legal research where it dissects secondary data which includes statutory regulations, various legal documents, researches, and other references relevant to corruption eradication in Indonesia. KPK could be strengthened in particular aspects with changes in regards its design of authority and its relationship with other authorities in corruption eradication process. Artikel ini bertujuan untuk meneliti reformasi pemberantasan korupsi dari tiga aspek penting: bentuk dari Komisi Pemberantasan Korupsi, perumusan korupsi dalam aspek materiil maupun aspek formiil, serta hal-hal pendukungnya seperti pemulihan aset dan pe...

Research paper thumbnail of Hubungan Pengetahuan Dan Pengawasan Dengan Perilaku Tidak Aman Pada Pekerja Bekisting PT Beton Konstruksi Wijaksana Tahun 2020

Jurnal Kesehatan

Perilaku tidak aman merupakan kesalahan manusia dalam suatu pengambilan sikap dan tindakan. Peril... more Perilaku tidak aman merupakan kesalahan manusia dalam suatu pengambilan sikap dan tindakan. Perilaku tidak aman dipengaruhi oleh faktor predisposisi (pengetahuan, sikap dan motivasi), faktor pemungkin (ketersediaan APD dan peraturan perusahaan) dan faktor penguat (pengawasan dan rekan kerja). Hasil observasi pada bulan september di lapangan yang dilakukan pada pekerja bekisting PT Beton Konstruksi Wijaksana, ditemukan 9 perilaku tidak aman (unsafe action) yang dilakukan oleh karyawan, prilaku tidak aman tersebut meliputi tidak menggunakan APD dan bercanda selama bekerja di tempat kerja. Penelitian ini bertujuan untuk mengetahui hubungan pengetahuan dan pengawasan dengan perilaku tidak aman pada pekerja bekisting PT Beton Konstruksi Wijaksana tahun 2020. Metode penelitian yang digunakan yaitu kuantitatif dengan teknik penelitian cross sectional. Sampel dalam penelitian ini sebanyak 46 responden. Hasil penelitian uji Chi Square didapatkan ada hubungan antara pengetahuan dengan perilaku tidak aman pada pekerja yang ada di departemen operasional bekisting PT. Beton Konstruksi Wijaksana dengan P value 0,000 dan ada hubungan antara pengawasan dengan prilaku tidak aman pada pekerja di PT. Beton Konstruksi Wijaksana dengan P value 0,000. Diharapkan Perusahaan dapat segera melakukan evaluasi program K3 yang telah dibuat dan memberikan pelatihan khusus mengenai fungsi dan cara penggunaan APD kepada seluruh karyawan mengingat pentingnya penggunaan APD dalam pekerjaan bekisting. Kata kunci: Perilaku tidak aman, pengetahuan, peran pengawas ABSTRACT Unsafe behavior is a human error in taking attitudes and actions. Unsafe behavior is influenced by predisposing factors (knowledge, attitudes and motivation), enabling factors (availability of PPE and company regulations) and reinforcing factors (supervision and co-workers). The results of observations in September in the site conducted on formwork workers at PT Beton Konstruksi Wijaksana, it was found that 9 unsafe actions were carried out by employees, these unsafe behaviors included not using PPE and joking while working in the workplace. This study aims to determine the relationship between knowledge and supervision with unsafe behavior in formwork workers at PT Beton Konstruksi Wijaksana in 2020. The research method used is quantitative with cross sectional research techniques. The sample in this study were 46

Research paper thumbnail of Assessment of Delamination Under Insulation Using Ridge Waveguide

IEEE Access

Insulation has been widely used to protect metal substrates in various industries such as turbine... more Insulation has been widely used to protect metal substrates in various industries such as turbine blades and oil and gas pipelines. Due to aging and cyclic processes, delamination between the metal component and insulation could grow. Such defects represent a critical problem that may result in catastrophic failure of the asset. Therefore, detecting and evaluating delaminated areas is mandatory for providing urgent maintenance solutions before the failure occurrence. In this paper, microwave nondestructive technique (NDT) is proposed for delamination detection and thickness estimation under dielectric insulation. In microwave NDT, the electromagnetic waves are induced into the dielectric material's surface using a ridge waveguide. The complex reflection coefficients are acquired using a vector network analyzer for further analysis in the time domain. Next, a time-domain reflectometry (TDR) technique-based inverse discrete Fourier transform is used to evaluate the complex reflection coefficients in terms of delamination's size and thickness estimation. The delamination evaluation is performed by measuring the maximum peak's time-step variations instead of the magnitude reduction in conventional TDR techniques in terms of the defect and defect-free reflections. Next, a comparison is made between implementing the proposed technique using a ridge waveguide and a regular rectangular waveguide. The results prove the superiority of using the ridge waveguide for delamination evaluation in terms of sizing and thickness with a minimum error rate of 5% and 7.87%, respectively. These novel results of ridge waveguide due to its small aperture and relatively wide bandwidth. The microwave NDT technique reported here could provide a predictive maintenance tool for many industries to minimize the maintenance effort and cost.

Research paper thumbnail of Defects Detection Using Complementary Split Ring Resonator with Microstrip Patch Antenna

Lecture Notes in Electrical Engineering, 2021

Research paper thumbnail of Under Insulation Microwave Non-destructive Testing Using Dual-Ridges Open-Ended Rectangular Waveguide

Lecture Notes in Electrical Engineering, 2022

Research paper thumbnail of An adaptive outlier removal aided k-means clustering algorithm

Journal of King Saud University - Computer and Information Sciences, 2021

This is a PDF file of an article that has undergone enhancements after acceptance, such as the ad... more This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

Research paper thumbnail of IFFT-Based Microwave Non-Destructive Testing for Delamination Detection and Thickness Estimation

IEEE Access, 2021

Microwave Non-Destructive Testing (NDT) techniques for dielectric coatings are vital processes in... more Microwave Non-Destructive Testing (NDT) techniques for dielectric coatings are vital processes in many industrial applications due to their superior defect detection capabilities over traditional NDT methods. However, the limited bandwidth and post-processing complexities of these techniques cause them to fall short of accurately estimating the delamination thickness in such structures. In this paper, a novel low-complexity signal processing method is proposed to estimate the delamination thickness in metal-backed dielectric coatings using bandwidth-limited Open-Ended Rectangular Waveguide (OERW) probes. Here, Inverse Fast Fourier Transform (IFFT) process is used to convert the measured complex reflection coefficients at the surface of the coating to the time domain. Next, the amplitude of a specific time step is used to accurately estimate the delamination thickness without extra time-consuming processing. Using a 3 mm-thick macor samples with machined defects, the proposed technique is validated by correctly estimating delamination thickness down to 0.4 mm using an OERW probe with 13.5 GHz bandwidth. Hence, this technique overcomes the challenge of the OERW's limited bandwidth, which highly affects the possibility of tracking shifting in the peak reflection in the time domain. Moreover, the proposed method does not add to the complexity of the NDT process, which makes it suitable for in-situ real time applications. Hence, following this approach would be of great importance to numerous industries, where accurate thickness estimation of minute delamination in coatings is essential to avoid system failure.

Research paper thumbnail of Penerapan Model PembelajaranPetaKonsepuntukMeningkatkanHasilBelajarSiswaPada Mata DiklatKewirausahaan (Studi Pada Siswa Kelas X BisnisdanManajemen SMK Ardjuna 1 Malang)

Research paper thumbnail of Simulasi Variasi Pembebanan Terhadap Kecepatan Pada PMSG 12 Slot 8 Pole Menggunakan Software Magnet DI PT Lentera Bumi Nusantara

SIMULASI VARIASI PEMBEBANAN TERHADAP KECEPATAN PADA PMSG 12 SLOT 8 POLE MENGGUNAKAN SOFTWARE MAGN... more SIMULASI VARIASI PEMBEBANAN TERHADAP KECEPATAN PADA PMSG 12 SLOT 8 POLE MENGGUNAKAN SOFTWARE MAGNET DI PT LENTERA BUMI NUSANTARA

Research paper thumbnail of Hubungan Kecepatan Dan Koordinasi Mata-Kaki Dengan Keterampilan Passing Pemain Sepakbola di Club Biang Dewa Kecamatan 2 x 11 Enam Lingkung Kabupaten Padang Pariaman

Research paper thumbnail of Merancang Aplikasi Profil Sekolah Dengan Menggunakan Macromedia Flash 8

Fadli Akbar.30108735. MERANCANG APLIKASI PROFIL PADA SMA NEGERI 8 TANGERANG DENGAN MENGGUNAKAN MA... more Fadli Akbar.30108735. MERANCANG APLIKASI PROFIL PADA SMA NEGERI 8 TANGERANG DENGAN MENGGUNAKAN MACROMEDIA FLASH 8. PI. Jurusan Manajemen Informatika, Fakultas Ilmu Komputer, Universitas Gunadarma, 2011 Kata Kunci : Aplikasi Profil SMA Negeri 8 Tangerang, Macromedia Flash 8. ( xv + 70 + Lampiran ). Dalam penulisan ilmiah ini, Penulis membahas tentang bagaimana membuat aplikasi profil sekolah dengan menggunakan macromedia flash 8. Penggunaan aplikasi profil sekolah interaktif ini merupakan inovasi dalam dunia pendidikan yang mengadaptasi perkembangan teknologi komputer. Pembuatan aplikasi profil sekolah ini memanfaatkan unsur-unsur multimedia, seperti teks, suara, gambar dan animasi. Tujuannya adalah agar para pengguna yang ingin belajar dari aplikasi profil sekolah ini tidak merasa cepat bosan dan merasakan suasana yang berbeda dibandingkan belajar dari buku konvensional serta mendatangkan daya tarik tersendiri. Dengan dibuatnya aplikasi profil sekolah SMA 8 Tangrang ini, diharapkan ...

Research paper thumbnail of PENGARUH KOMPETENSI DAN INDEPENDENSI TERHADAPKUALITAS AUDIT DENGAN ETIKA AUDITOR SEBAGAI VARIABELMODERASI(Studi Empiris Pada Kantor Akuntan Publik Di Jakarta)

Research paper thumbnail of Formulasi tablet ekstrak keong matah merah (cerithidea obtusa)

Keong matah merah (Cerithidea obtusa) merupakan salah satu gastropoda laut dari filum moluska. Pe... more Keong matah merah (Cerithidea obtusa) merupakan salah satu gastropoda laut dari filum moluska. Penelitian yang telah dilakukan menunjukkan bahwa ekstrak keong matah merah berpotensi menghambat sel kanker serviks, kanker paru, sel kanker leukemia, dan juga sebagai antioksidan. Potensi yang besar sebagai obat dari keong matah merah menjadi daya tarik untuk diformulasikan menjadi sediaan tablet yang belum pernah dilakukan sebelumnya. Penelitian ini dilakukan untuk menentukkan konsentrasi optimum dari agen pengikat PVP K30 dan agen penghancur crospovidon pada tablet ekstrak etanol keong matah merah (Cerithidea obtusa), sehingga menghasilkan tablet dengan kerapuhaan, kekerasan dan waktu hancur yang diharapkan. Proses pembuatan tablet menggunakan metode granulasi basah, dibuat sebanyak empat formula dengan memvariasikan konsentrasi PVP K30 dan crospovidon. Tablet yang dihasilkan dari keempat formula memiliki hasil kerapuhan, kekerasan, dan waktu hancur yang memenuhi persyaratan, namun pada tablet formula 1 tidak memenuhi persyaratan pada evaluasi kerapuhan. Ekstrak keong matah merah (Cerithidea obtusa) dapat diformulasikan menjadi sediaan tablet yang baik menggunakan PVP K30 sebagai agen dan crospovidon sebagai agen penghancur dengan metode granulasi basah. Kata kunci : Keong matah merah (Cerithidea obtusa), tablet, granulasi basah, PVP K-30, crospovidon.

Research paper thumbnail of Pengaruh Kepuasan Kerja Dan Komunikasi Terhadap Organizational Behaviour Citizenship (OCB) Di Bank Madina Syariah Yogyakarta

MANAJERIAL, 2021

Background - Job satisfaction, communication and OCB are indicators used to achieve company goals... more Background - Job satisfaction, communication and OCB are indicators used to achieve company goals. Bank Madina Syariah is one company that pays close attention to these three things in operating activities in the work environment. Purpose - The purpose of this study was to determine the effect of job satisfaction on the OCB of Bank Madina Syariah in Yogyakarta region, as well as to determine the effect of communication on OCB of Syariah Bank. Design / Methodology / Approach – This type of research is a quantitative study with a questionnaire distribution method using a 4-point Likert scale. The result of this study is that job satisfaction and communication have a positive and significant effect on employee performance of Bank Madina Syariah. Result and Discussion – Simultaneous regression results, obtained the F-count value of 20,570 with probability (p) = 0,000. Based on the provisions of the F test where the probability value (p) ≤ 0.05, Organizational Communication, Job Satisfac...

Research paper thumbnail of Efficientnet-Lite and Hybrid CNN-KNN Implementation for Facial Expression Recognition on Raspberry Pi

IEEE Access, 2021

Facial expression recognition (FER) is the task of determining a person's current emotion. It pla... more Facial expression recognition (FER) is the task of determining a person's current emotion. It plays an important role in healthcare, marketing, and counselling. With the advancement in deep learning algorithms like Convolutional Neural Network (CNN), the system's accuracy is improving. A hybrid CNN and k-Nearest Neighbour (KNN) model can improve FER's accuracy. This paper presents a hybrid CNN-KNN model for FER on the Raspberry Pi 4, where we use CNN for feature extraction. Subsequently, the KNN performs expression recognition. We use the transfer learning technique to build our system with an EfficientNet-Lite model. The hybrid model we propose replaces the Softmax layer in the EfficientNet with the KNN. We train our model using the FER-2013 dataset and compare its performance with different architectures trained on the same dataset. We perform optimization on the Fully Connected layer, loss function, loss optimizer, optimizer learning rate, class weights, and KNN distance function with the k-value. Despite running on the Raspberry Pi hardware with very limited processing power, low memory capacity, and small storage capacity, our proposed model achieves a similar accuracy of 75.26% (with a slight improvement of 0.06%) to the state-of-the-art's Ensemble of 8 CNN model.

Research paper thumbnail of A Past, Present, and Prospective Review on Microwave Nondestructive Evaluation of Composite Coatings

Coatings, 2021

Recent years have witnessed an increase in the use of composite coatings for numerous application... more Recent years have witnessed an increase in the use of composite coatings for numerous applications, including aerospace, aircraft, and maritime vessels. These materials owe this popularity surge to the superior strength, weight, stiffness, and electrical insulation they exhibit over conventional substances, such as metals. The growing demand for such materials is accompanied by the inevitable need for fast, accurate, and affordable nondestructive testing techniques to reveal any possible defects within the coatings or any defects under coating. However, typical nondestructive testing (NDT) techniques such as ultrasonic testing (UT), infrared thermography (IRT), eddy current testing (ECT), and laser shearography (LS) have failed to provide successful results when inspecting composite coatings. Consequently, microwave NDT techniques have emerged to compensate for the shortcomings of traditional NDT approaches. Numerous microwave NDT methods have been reported for composite coatings in...

Research paper thumbnail of Nondestructive Evaluation of Coatings Delamination Using Microwave Time Domain Reflectometry Technique

IEEE Access, 2020

Ceramic based coatings such as Thermal Barrier Coatings (TBCs) are widely deposited onto gas turb... more Ceramic based coatings such as Thermal Barrier Coatings (TBCs) are widely deposited onto gas turbine engine components to protect their metal substrate against high temperature. However, improper adhesive application, thermal stress and moisture penetration through the insulation materials can cause defects such as delamination to grow between the insulation and the metal surface. Such defects could lead to catastrophic failure if not immediately detected and repaired. Hence, it is imperative to non-destructively inspect these interfaces for delamination to avoid such an event. In this paper, a novel microwave non-destructive testing technique for ceramic-based coatings is proposed. This technique is based on scanning the surface of the coating with an open-ended rectangular waveguide and analyzing the reflections in the time domain. The proposed time-domain technique appears to reveal more about the depth of any existing delamination than any other microwave non-destructive testing (NDT) technique. Here, a ceramic sample with machined delamination is scanned using rectangular waveguides operating from 26.5 to 40 GHz. After applying Fourier analysis to the frequency domain waveguide reflections, time-domain results showed the delamination with significantly better depth resolution compared to frequency domain analysis. The results reported in this paper prove the advantages of the time-domain technique to forecast the relative delamination depth, which is important for many industrial applications. The depth information of delamination can be used in a condition-based predictive maintenance schedule to plan the inspection intervals efficiently, minimize the unnecessary replacements and provide practical guidance for future design. INDEX TERMS Coating delamination, Time Domain Reflectometry, open-ended rectangular waveguide, microwave NDT.

Research paper thumbnail of Microwave Nondestructive Testing for Defect Detection in Composites Based on K-Means Clustering Algorithm

IEEE Access, 2021

Composite such as Glass Fibre Reinforced Polymer (GFRP) is increasingly used as insulation in man... more Composite such as Glass Fibre Reinforced Polymer (GFRP) is increasingly used as insulation in many industrial applications such as the steel pipelines in the oil and gas industry. Due to ageing and cyclic operation, many hidden defects exist under insulation, such as corrosion and delamination. If these defects are not promptly detected and restored, the growth of defects causes a catastrophic loss. Therefore, an effective inspection technique using non-destructive testing (NDT) to detect the underneath defect is required. The ability of microwave signals to penetrate and interact with the inner structure within composites makes them a promising candidate for composite inspection. In the case of GFRP, the random patterns cause permittivity variations that influence the propagation of the microwave signals, which results in a blurred spatial image making the assessment of the material's state difficult. In this research, a novel microwave NDT technique is presented based on k-means unsupervised machine learning for defect detection in composites. At present, the defect evaluation using an unsupervised machine learning-based microwave NDT technique is not reported elsewhere. The unsupervised machine learning is employed to enhance the imaging efficiency and defect detection in GFRP. The technique is based on scanning the composite material with an open-ended rectangular waveguide operating from 18 to 26.5 GHz with 101 frequency points. The influence of the permittivity variations on the reflected coefficients due to the random patterns of GFRP is mitigated by measuring the mean of a set of the adjacent points at each operating frequency point using a small rectangular window. The measured data is converted to the time domain using a fast inverse Fourier transform (IFFT) to provide significant features and increase the signal resolution to 201-time steps. K-means algorithm is utilized to cluster the given features into the defect and defect-free regions in GFRP. The findings presented in this paper demonstrate the benefits of an unsupervised machine learning to detect a defect down to 1 mm, which is a considerable contribution over any existing defect inspection technique in composites. INDEX TERMS Unsupervised machine learning, k-means, microwave NDT, defect detection.

Research paper thumbnail of AMC2N: Automatic Modulation Classification Using Feature Clustering-Based Two-Lane Capsule Networks

Electronics, 2021

The automatic modulation classification (AMC) of a detected signal has gained considerable promin... more The automatic modulation classification (AMC) of a detected signal has gained considerable prominence in recent years owing to its numerous facilities. Numerous studies have focused on feature-based AMC. However, improving accuracy under low signal-to-noise ratio (SNR) rates is a serious issue in AMC. Moreover, research on the enhancement of AMC performance under low and high SNR rates is limited. Motivated by these issues, this study proposes AMC using a feature clustering-based two-lane capsule network (AMC2N). In the AMC2N, accuracy of the MC process is improved by designing a new two-layer capsule network (TL-CapsNet), and classification time is reduced by introducing a new feature clustering approach in the TL-CapsNet. Firstly, the AMC2N executes blind equalization, sampling, and quantization in trilevel preprocessing. Blind equalization is executed using a binary constant modulus algorithm to avoid intersymbol interference. To extract features from the preprocessed signal and ...

Research paper thumbnail of Analisa Kontribusi Sektor Pertanian Terhadap Perekonomian Indonesia

JURNAL ILMU EKONOMI & SOSIAL, 2017

Penelitian ini hendak melakukan identifikasi mengenai kontribusi sektor pertanian pada pendapatan... more Penelitian ini hendak melakukan identifikasi mengenai kontribusi sektor pertanian pada pendapatan nasional Indonesia. Adapun metodologi yang digunakan adalah analisis data time series pada beberapa sektor terkait dengan perkembangan pertanian seperti rasio pendapatan dari sektor pertanian nasional terhadap total GDP, tingkat penggunaan tenagakerja di sektor pertanian dan beberapa data pertanian luar negeri sebagai pembanding. Hasil penelitian menunjukkan bahwa sektor pertanian di Indonesia tidak terlalu menjadi prioritas untuk menunjang pertumbuhan ekonomi nasional, ini dibuktikan dengan tidak terlalu bergairahnya perkembangan beberapa variabel variabel penting dalam 20 tahun terakhir. Hal ini diakibatkan oleh beralihnya fokus pembangunan nasional pada sektor industri dan manufaktur serta sektor pertambangan yang menjadi tulang punggung perekonomian Indonesia.

Research paper thumbnail of The Reform of Corruption Eradication in Indonesia: The Prismatic Law in the Recent Context

Mimbar Hukum - Fakultas Hukum Universitas Gadjah Mada

This paper aims to investigate the reform of corruption eradication in Indonesia from three cruci... more This paper aims to investigate the reform of corruption eradication in Indonesia from three crucial aspects: the form of the Corruption Eradication Commission (KPK), the formulation of corruption in material and formal aspects, and other additional support system such as asset recovery and the protection of justice collaborator and whistle blower. This paper is a normative-legal research where it dissects secondary data which includes statutory regulations, various legal documents, researches, and other references relevant to corruption eradication in Indonesia. KPK could be strengthened in particular aspects with changes in regards its design of authority and its relationship with other authorities in corruption eradication process. Artikel ini bertujuan untuk meneliti reformasi pemberantasan korupsi dari tiga aspek penting: bentuk dari Komisi Pemberantasan Korupsi, perumusan korupsi dalam aspek materiil maupun aspek formiil, serta hal-hal pendukungnya seperti pemulihan aset dan pe...

Research paper thumbnail of Hubungan Pengetahuan Dan Pengawasan Dengan Perilaku Tidak Aman Pada Pekerja Bekisting PT Beton Konstruksi Wijaksana Tahun 2020

Jurnal Kesehatan

Perilaku tidak aman merupakan kesalahan manusia dalam suatu pengambilan sikap dan tindakan. Peril... more Perilaku tidak aman merupakan kesalahan manusia dalam suatu pengambilan sikap dan tindakan. Perilaku tidak aman dipengaruhi oleh faktor predisposisi (pengetahuan, sikap dan motivasi), faktor pemungkin (ketersediaan APD dan peraturan perusahaan) dan faktor penguat (pengawasan dan rekan kerja). Hasil observasi pada bulan september di lapangan yang dilakukan pada pekerja bekisting PT Beton Konstruksi Wijaksana, ditemukan 9 perilaku tidak aman (unsafe action) yang dilakukan oleh karyawan, prilaku tidak aman tersebut meliputi tidak menggunakan APD dan bercanda selama bekerja di tempat kerja. Penelitian ini bertujuan untuk mengetahui hubungan pengetahuan dan pengawasan dengan perilaku tidak aman pada pekerja bekisting PT Beton Konstruksi Wijaksana tahun 2020. Metode penelitian yang digunakan yaitu kuantitatif dengan teknik penelitian cross sectional. Sampel dalam penelitian ini sebanyak 46 responden. Hasil penelitian uji Chi Square didapatkan ada hubungan antara pengetahuan dengan perilaku tidak aman pada pekerja yang ada di departemen operasional bekisting PT. Beton Konstruksi Wijaksana dengan P value 0,000 dan ada hubungan antara pengawasan dengan prilaku tidak aman pada pekerja di PT. Beton Konstruksi Wijaksana dengan P value 0,000. Diharapkan Perusahaan dapat segera melakukan evaluasi program K3 yang telah dibuat dan memberikan pelatihan khusus mengenai fungsi dan cara penggunaan APD kepada seluruh karyawan mengingat pentingnya penggunaan APD dalam pekerjaan bekisting. Kata kunci: Perilaku tidak aman, pengetahuan, peran pengawas ABSTRACT Unsafe behavior is a human error in taking attitudes and actions. Unsafe behavior is influenced by predisposing factors (knowledge, attitudes and motivation), enabling factors (availability of PPE and company regulations) and reinforcing factors (supervision and co-workers). The results of observations in September in the site conducted on formwork workers at PT Beton Konstruksi Wijaksana, it was found that 9 unsafe actions were carried out by employees, these unsafe behaviors included not using PPE and joking while working in the workplace. This study aims to determine the relationship between knowledge and supervision with unsafe behavior in formwork workers at PT Beton Konstruksi Wijaksana in 2020. The research method used is quantitative with cross sectional research techniques. The sample in this study were 46

Research paper thumbnail of Assessment of Delamination Under Insulation Using Ridge Waveguide

IEEE Access

Insulation has been widely used to protect metal substrates in various industries such as turbine... more Insulation has been widely used to protect metal substrates in various industries such as turbine blades and oil and gas pipelines. Due to aging and cyclic processes, delamination between the metal component and insulation could grow. Such defects represent a critical problem that may result in catastrophic failure of the asset. Therefore, detecting and evaluating delaminated areas is mandatory for providing urgent maintenance solutions before the failure occurrence. In this paper, microwave nondestructive technique (NDT) is proposed for delamination detection and thickness estimation under dielectric insulation. In microwave NDT, the electromagnetic waves are induced into the dielectric material's surface using a ridge waveguide. The complex reflection coefficients are acquired using a vector network analyzer for further analysis in the time domain. Next, a time-domain reflectometry (TDR) technique-based inverse discrete Fourier transform is used to evaluate the complex reflection coefficients in terms of delamination's size and thickness estimation. The delamination evaluation is performed by measuring the maximum peak's time-step variations instead of the magnitude reduction in conventional TDR techniques in terms of the defect and defect-free reflections. Next, a comparison is made between implementing the proposed technique using a ridge waveguide and a regular rectangular waveguide. The results prove the superiority of using the ridge waveguide for delamination evaluation in terms of sizing and thickness with a minimum error rate of 5% and 7.87%, respectively. These novel results of ridge waveguide due to its small aperture and relatively wide bandwidth. The microwave NDT technique reported here could provide a predictive maintenance tool for many industries to minimize the maintenance effort and cost.

Research paper thumbnail of Defects Detection Using Complementary Split Ring Resonator with Microstrip Patch Antenna

Lecture Notes in Electrical Engineering, 2021

Research paper thumbnail of Under Insulation Microwave Non-destructive Testing Using Dual-Ridges Open-Ended Rectangular Waveguide

Lecture Notes in Electrical Engineering, 2022

Research paper thumbnail of An adaptive outlier removal aided k-means clustering algorithm

Journal of King Saud University - Computer and Information Sciences, 2021

This is a PDF file of an article that has undergone enhancements after acceptance, such as the ad... more This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

Research paper thumbnail of IFFT-Based Microwave Non-Destructive Testing for Delamination Detection and Thickness Estimation

IEEE Access, 2021

Microwave Non-Destructive Testing (NDT) techniques for dielectric coatings are vital processes in... more Microwave Non-Destructive Testing (NDT) techniques for dielectric coatings are vital processes in many industrial applications due to their superior defect detection capabilities over traditional NDT methods. However, the limited bandwidth and post-processing complexities of these techniques cause them to fall short of accurately estimating the delamination thickness in such structures. In this paper, a novel low-complexity signal processing method is proposed to estimate the delamination thickness in metal-backed dielectric coatings using bandwidth-limited Open-Ended Rectangular Waveguide (OERW) probes. Here, Inverse Fast Fourier Transform (IFFT) process is used to convert the measured complex reflection coefficients at the surface of the coating to the time domain. Next, the amplitude of a specific time step is used to accurately estimate the delamination thickness without extra time-consuming processing. Using a 3 mm-thick macor samples with machined defects, the proposed technique is validated by correctly estimating delamination thickness down to 0.4 mm using an OERW probe with 13.5 GHz bandwidth. Hence, this technique overcomes the challenge of the OERW's limited bandwidth, which highly affects the possibility of tracking shifting in the peak reflection in the time domain. Moreover, the proposed method does not add to the complexity of the NDT process, which makes it suitable for in-situ real time applications. Hence, following this approach would be of great importance to numerous industries, where accurate thickness estimation of minute delamination in coatings is essential to avoid system failure.

Research paper thumbnail of Penerapan Model PembelajaranPetaKonsepuntukMeningkatkanHasilBelajarSiswaPada Mata DiklatKewirausahaan (Studi Pada Siswa Kelas X BisnisdanManajemen SMK Ardjuna 1 Malang)

Research paper thumbnail of Simulasi Variasi Pembebanan Terhadap Kecepatan Pada PMSG 12 Slot 8 Pole Menggunakan Software Magnet DI PT Lentera Bumi Nusantara

SIMULASI VARIASI PEMBEBANAN TERHADAP KECEPATAN PADA PMSG 12 SLOT 8 POLE MENGGUNAKAN SOFTWARE MAGN... more SIMULASI VARIASI PEMBEBANAN TERHADAP KECEPATAN PADA PMSG 12 SLOT 8 POLE MENGGUNAKAN SOFTWARE MAGNET DI PT LENTERA BUMI NUSANTARA

Research paper thumbnail of Hubungan Kecepatan Dan Koordinasi Mata-Kaki Dengan Keterampilan Passing Pemain Sepakbola di Club Biang Dewa Kecamatan 2 x 11 Enam Lingkung Kabupaten Padang Pariaman

Research paper thumbnail of Merancang Aplikasi Profil Sekolah Dengan Menggunakan Macromedia Flash 8

Fadli Akbar.30108735. MERANCANG APLIKASI PROFIL PADA SMA NEGERI 8 TANGERANG DENGAN MENGGUNAKAN MA... more Fadli Akbar.30108735. MERANCANG APLIKASI PROFIL PADA SMA NEGERI 8 TANGERANG DENGAN MENGGUNAKAN MACROMEDIA FLASH 8. PI. Jurusan Manajemen Informatika, Fakultas Ilmu Komputer, Universitas Gunadarma, 2011 Kata Kunci : Aplikasi Profil SMA Negeri 8 Tangerang, Macromedia Flash 8. ( xv + 70 + Lampiran ). Dalam penulisan ilmiah ini, Penulis membahas tentang bagaimana membuat aplikasi profil sekolah dengan menggunakan macromedia flash 8. Penggunaan aplikasi profil sekolah interaktif ini merupakan inovasi dalam dunia pendidikan yang mengadaptasi perkembangan teknologi komputer. Pembuatan aplikasi profil sekolah ini memanfaatkan unsur-unsur multimedia, seperti teks, suara, gambar dan animasi. Tujuannya adalah agar para pengguna yang ingin belajar dari aplikasi profil sekolah ini tidak merasa cepat bosan dan merasakan suasana yang berbeda dibandingkan belajar dari buku konvensional serta mendatangkan daya tarik tersendiri. Dengan dibuatnya aplikasi profil sekolah SMA 8 Tangrang ini, diharapkan ...

Research paper thumbnail of PENGARUH KOMPETENSI DAN INDEPENDENSI TERHADAPKUALITAS AUDIT DENGAN ETIKA AUDITOR SEBAGAI VARIABELMODERASI(Studi Empiris Pada Kantor Akuntan Publik Di Jakarta)

Research paper thumbnail of Formulasi tablet ekstrak keong matah merah (cerithidea obtusa)

Keong matah merah (Cerithidea obtusa) merupakan salah satu gastropoda laut dari filum moluska. Pe... more Keong matah merah (Cerithidea obtusa) merupakan salah satu gastropoda laut dari filum moluska. Penelitian yang telah dilakukan menunjukkan bahwa ekstrak keong matah merah berpotensi menghambat sel kanker serviks, kanker paru, sel kanker leukemia, dan juga sebagai antioksidan. Potensi yang besar sebagai obat dari keong matah merah menjadi daya tarik untuk diformulasikan menjadi sediaan tablet yang belum pernah dilakukan sebelumnya. Penelitian ini dilakukan untuk menentukkan konsentrasi optimum dari agen pengikat PVP K30 dan agen penghancur crospovidon pada tablet ekstrak etanol keong matah merah (Cerithidea obtusa), sehingga menghasilkan tablet dengan kerapuhaan, kekerasan dan waktu hancur yang diharapkan. Proses pembuatan tablet menggunakan metode granulasi basah, dibuat sebanyak empat formula dengan memvariasikan konsentrasi PVP K30 dan crospovidon. Tablet yang dihasilkan dari keempat formula memiliki hasil kerapuhan, kekerasan, dan waktu hancur yang memenuhi persyaratan, namun pada tablet formula 1 tidak memenuhi persyaratan pada evaluasi kerapuhan. Ekstrak keong matah merah (Cerithidea obtusa) dapat diformulasikan menjadi sediaan tablet yang baik menggunakan PVP K30 sebagai agen dan crospovidon sebagai agen penghancur dengan metode granulasi basah. Kata kunci : Keong matah merah (Cerithidea obtusa), tablet, granulasi basah, PVP K-30, crospovidon.

Research paper thumbnail of Pengaruh Kepuasan Kerja Dan Komunikasi Terhadap Organizational Behaviour Citizenship (OCB) Di Bank Madina Syariah Yogyakarta

MANAJERIAL, 2021

Background - Job satisfaction, communication and OCB are indicators used to achieve company goals... more Background - Job satisfaction, communication and OCB are indicators used to achieve company goals. Bank Madina Syariah is one company that pays close attention to these three things in operating activities in the work environment. Purpose - The purpose of this study was to determine the effect of job satisfaction on the OCB of Bank Madina Syariah in Yogyakarta region, as well as to determine the effect of communication on OCB of Syariah Bank. Design / Methodology / Approach – This type of research is a quantitative study with a questionnaire distribution method using a 4-point Likert scale. The result of this study is that job satisfaction and communication have a positive and significant effect on employee performance of Bank Madina Syariah. Result and Discussion – Simultaneous regression results, obtained the F-count value of 20,570 with probability (p) = 0,000. Based on the provisions of the F test where the probability value (p) ≤ 0.05, Organizational Communication, Job Satisfac...

Research paper thumbnail of Efficientnet-Lite and Hybrid CNN-KNN Implementation for Facial Expression Recognition on Raspberry Pi

IEEE Access, 2021

Facial expression recognition (FER) is the task of determining a person's current emotion. It pla... more Facial expression recognition (FER) is the task of determining a person's current emotion. It plays an important role in healthcare, marketing, and counselling. With the advancement in deep learning algorithms like Convolutional Neural Network (CNN), the system's accuracy is improving. A hybrid CNN and k-Nearest Neighbour (KNN) model can improve FER's accuracy. This paper presents a hybrid CNN-KNN model for FER on the Raspberry Pi 4, where we use CNN for feature extraction. Subsequently, the KNN performs expression recognition. We use the transfer learning technique to build our system with an EfficientNet-Lite model. The hybrid model we propose replaces the Softmax layer in the EfficientNet with the KNN. We train our model using the FER-2013 dataset and compare its performance with different architectures trained on the same dataset. We perform optimization on the Fully Connected layer, loss function, loss optimizer, optimizer learning rate, class weights, and KNN distance function with the k-value. Despite running on the Raspberry Pi hardware with very limited processing power, low memory capacity, and small storage capacity, our proposed model achieves a similar accuracy of 75.26% (with a slight improvement of 0.06%) to the state-of-the-art's Ensemble of 8 CNN model.

Research paper thumbnail of A Past, Present, and Prospective Review on Microwave Nondestructive Evaluation of Composite Coatings

Coatings, 2021

Recent years have witnessed an increase in the use of composite coatings for numerous application... more Recent years have witnessed an increase in the use of composite coatings for numerous applications, including aerospace, aircraft, and maritime vessels. These materials owe this popularity surge to the superior strength, weight, stiffness, and electrical insulation they exhibit over conventional substances, such as metals. The growing demand for such materials is accompanied by the inevitable need for fast, accurate, and affordable nondestructive testing techniques to reveal any possible defects within the coatings or any defects under coating. However, typical nondestructive testing (NDT) techniques such as ultrasonic testing (UT), infrared thermography (IRT), eddy current testing (ECT), and laser shearography (LS) have failed to provide successful results when inspecting composite coatings. Consequently, microwave NDT techniques have emerged to compensate for the shortcomings of traditional NDT approaches. Numerous microwave NDT methods have been reported for composite coatings in...

Research paper thumbnail of Nondestructive Evaluation of Coatings Delamination Using Microwave Time Domain Reflectometry Technique

IEEE Access, 2020

Ceramic based coatings such as Thermal Barrier Coatings (TBCs) are widely deposited onto gas turb... more Ceramic based coatings such as Thermal Barrier Coatings (TBCs) are widely deposited onto gas turbine engine components to protect their metal substrate against high temperature. However, improper adhesive application, thermal stress and moisture penetration through the insulation materials can cause defects such as delamination to grow between the insulation and the metal surface. Such defects could lead to catastrophic failure if not immediately detected and repaired. Hence, it is imperative to non-destructively inspect these interfaces for delamination to avoid such an event. In this paper, a novel microwave non-destructive testing technique for ceramic-based coatings is proposed. This technique is based on scanning the surface of the coating with an open-ended rectangular waveguide and analyzing the reflections in the time domain. The proposed time-domain technique appears to reveal more about the depth of any existing delamination than any other microwave non-destructive testing (NDT) technique. Here, a ceramic sample with machined delamination is scanned using rectangular waveguides operating from 26.5 to 40 GHz. After applying Fourier analysis to the frequency domain waveguide reflections, time-domain results showed the delamination with significantly better depth resolution compared to frequency domain analysis. The results reported in this paper prove the advantages of the time-domain technique to forecast the relative delamination depth, which is important for many industrial applications. The depth information of delamination can be used in a condition-based predictive maintenance schedule to plan the inspection intervals efficiently, minimize the unnecessary replacements and provide practical guidance for future design. INDEX TERMS Coating delamination, Time Domain Reflectometry, open-ended rectangular waveguide, microwave NDT.

Research paper thumbnail of Microwave Nondestructive Testing for Defect Detection in Composites Based on K-Means Clustering Algorithm

IEEE Access, 2021

Composite such as Glass Fibre Reinforced Polymer (GFRP) is increasingly used as insulation in man... more Composite such as Glass Fibre Reinforced Polymer (GFRP) is increasingly used as insulation in many industrial applications such as the steel pipelines in the oil and gas industry. Due to ageing and cyclic operation, many hidden defects exist under insulation, such as corrosion and delamination. If these defects are not promptly detected and restored, the growth of defects causes a catastrophic loss. Therefore, an effective inspection technique using non-destructive testing (NDT) to detect the underneath defect is required. The ability of microwave signals to penetrate and interact with the inner structure within composites makes them a promising candidate for composite inspection. In the case of GFRP, the random patterns cause permittivity variations that influence the propagation of the microwave signals, which results in a blurred spatial image making the assessment of the material's state difficult. In this research, a novel microwave NDT technique is presented based on k-means unsupervised machine learning for defect detection in composites. At present, the defect evaluation using an unsupervised machine learning-based microwave NDT technique is not reported elsewhere. The unsupervised machine learning is employed to enhance the imaging efficiency and defect detection in GFRP. The technique is based on scanning the composite material with an open-ended rectangular waveguide operating from 18 to 26.5 GHz with 101 frequency points. The influence of the permittivity variations on the reflected coefficients due to the random patterns of GFRP is mitigated by measuring the mean of a set of the adjacent points at each operating frequency point using a small rectangular window. The measured data is converted to the time domain using a fast inverse Fourier transform (IFFT) to provide significant features and increase the signal resolution to 201-time steps. K-means algorithm is utilized to cluster the given features into the defect and defect-free regions in GFRP. The findings presented in this paper demonstrate the benefits of an unsupervised machine learning to detect a defect down to 1 mm, which is a considerable contribution over any existing defect inspection technique in composites. INDEX TERMS Unsupervised machine learning, k-means, microwave NDT, defect detection.

Research paper thumbnail of AMC2N: Automatic Modulation Classification Using Feature Clustering-Based Two-Lane Capsule Networks

Electronics, 2021

The automatic modulation classification (AMC) of a detected signal has gained considerable promin... more The automatic modulation classification (AMC) of a detected signal has gained considerable prominence in recent years owing to its numerous facilities. Numerous studies have focused on feature-based AMC. However, improving accuracy under low signal-to-noise ratio (SNR) rates is a serious issue in AMC. Moreover, research on the enhancement of AMC performance under low and high SNR rates is limited. Motivated by these issues, this study proposes AMC using a feature clustering-based two-lane capsule network (AMC2N). In the AMC2N, accuracy of the MC process is improved by designing a new two-layer capsule network (TL-CapsNet), and classification time is reduced by introducing a new feature clustering approach in the TL-CapsNet. Firstly, the AMC2N executes blind equalization, sampling, and quantization in trilevel preprocessing. Blind equalization is executed using a binary constant modulus algorithm to avoid intersymbol interference. To extract features from the preprocessed signal and ...

Research paper thumbnail of Analisa Kontribusi Sektor Pertanian Terhadap Perekonomian Indonesia

JURNAL ILMU EKONOMI & SOSIAL, 2017

Penelitian ini hendak melakukan identifikasi mengenai kontribusi sektor pertanian pada pendapatan... more Penelitian ini hendak melakukan identifikasi mengenai kontribusi sektor pertanian pada pendapatan nasional Indonesia. Adapun metodologi yang digunakan adalah analisis data time series pada beberapa sektor terkait dengan perkembangan pertanian seperti rasio pendapatan dari sektor pertanian nasional terhadap total GDP, tingkat penggunaan tenagakerja di sektor pertanian dan beberapa data pertanian luar negeri sebagai pembanding. Hasil penelitian menunjukkan bahwa sektor pertanian di Indonesia tidak terlalu menjadi prioritas untuk menunjang pertumbuhan ekonomi nasional, ini dibuktikan dengan tidak terlalu bergairahnya perkembangan beberapa variabel variabel penting dalam 20 tahun terakhir. Hal ini diakibatkan oleh beralihnya fokus pembangunan nasional pada sektor industri dan manufaktur serta sektor pertambangan yang menjadi tulang punggung perekonomian Indonesia.