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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) Jurnal Ilmiah Teknologi dan Rekayasa ELECTRANS JTERA (Jurnal Teknologi Rekayasa) JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) Jurnal Elektronika dan Telekomunikasi Jurnal ULTIMA Computing TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol Jurnal Teknologi Terpadu JURNAL BUDIDAYA PERTANIAN Abdi Dosen : Jurnal Pengabdian Pada Masyarakat Indonesian Journal of Electrical Engineering and Computer Science TECHNO-SOCIO EKONOMIKA Jurnal Dharma Bhakti Ekuitas Journal La Multiapp EPSILON: Journal of Electrical Engineering and Information Technology Eduvest - Journal of Universal Studies
Nurul Fahmi Arief Hakim
Universitas Pendidikan Indonesia
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Neuroscience Public Health Social Sciences Other

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MODIFIKASI ALAT MARKING MENGGUNAKAN PAINT PRESSURE TANK PADA MESIN EKSTRUDER Hakim, Nurul Fahmi Arief; Widiantoro, Prio Aji; Fredianto, Riko
JTERA (Jurnal Teknologi Rekayasa) Vol 5, No 1: June 2020
Publisher : Politeknik Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1085.487 KB) | DOI: 10.31544/jtera.v5.i1.2019.151-158

Abstract

Ban merupakan salah satu komponen penting dari sebuah kendaraan. Bahan dasar sebuah ban adalah kompon yang ditambahkan dengan bahan kimia yang lainnya sehingga menjadi sebuah karet. Kompon yang telah dibuat akan digunakan sebagai campuran bahan pembuat tapak ban atau lebih dikenal dengan tread. Pada proses pembuatan tread di mesin ekstruder, terdapat beberapa permasalahan yang menyebabkan hasilnya tidak sesuai dengan standar. Salah satu bagian tread yang biasanya tidak sesuai standar adalah pada marking. Kesalahan marking yang terjadi pada saat ini adalah hasil yang tidak lurus dan garisnya yang putus-putus. Hal tersebut menyebabkan ban tidak lolos proses pemeriksaan. Tujuan penelitian ini adalah memodifikasi alat marking pada mesin ekstruder untuk mengurangi tread yang tidak sesuai spesifikasi. Modifikasi alat marking dilakukan menggunakan komponen dasar pressure tank, linear guideway, dan pipa kapiler. Hasil realisasi alat membuktikan bahwa alat marking dengan pressure tank mampu mengurangi tread yang tidak sesuai dengan spesifikasi sebesar 14%.
PERANCANGAN ANTENA WAVEGUIDE 6 SLOT PADA FREKUENSI 2,3 GHZ UNTUK APLIKASI LTE-TDD Nurul Fahmi Arief H; Tommi Haryadi; Arjuni Budi P
ELECTRANS Vol 13, No 2 (2014): Volume 13, Nomor 2, Tahun 2014
Publisher : Universitas Pendidikan Indonesia

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

Abstract

Makalah ini menjelaskan tentang perancangan antena waveguide 6 slot yang digunakan untuk aplikasi LTETDD pada frekuensi 2,3 GHz. Bahan dasar antena ini adalah kuningan dengan ketebalan 0,8 mm. Antena waveguide slot ini memiliki dimensi 113 mm x 58,67 mm x 628 mm dengan impendansi masukan 50 Ω. Antena ini beroperasi pada frekuensi 2,3 GHz sampai 2,4 GHz dengan return loss kurang dari -10 dB. Gain yang diperoleh dari hasil simulasi sebesar 14,2 dBi dengan pola radiasi directional.
Modifikasi Alat Marking Menggunakan Paint Pressure Tank pada Mesin Ekstruder Nurul Fahmi Arief Hakim; Prio Aji Widiantoro; Riko Fredianto
JTERA (Jurnal Teknologi Rekayasa) Vol 5, No 1: June 2020
Publisher : Politeknik Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31544/jtera.v5.i1.2019.151-158

Abstract

Ban merupakan salah satu komponen penting dari sebuah kendaraan. Bahan dasar sebuah ban adalah kompon yang ditambahkan dengan bahan kimia yang lainnya sehingga menjadi sebuah karet. Kompon yang telah dibuat akan digunakan sebagai campuran bahan pembuat tapak ban atau lebih dikenal dengan tread. Pada proses pembuatan tread di mesin ekstruder, terdapat beberapa permasalahan yang menyebabkan hasilnya tidak sesuai dengan standar. Salah satu bagian tread yang biasanya tidak sesuai standar adalah pada marking. Kesalahan marking yang terjadi pada saat ini adalah hasil yang tidak lurus dan garisnya yang putus-putus. Hal tersebut menyebabkan ban tidak lolos proses pemeriksaan. Tujuan penelitian ini adalah memodifikasi alat marking pada mesin ekstruder untuk mengurangi tread yang tidak sesuai spesifikasi. Modifikasi alat marking dilakukan menggunakan komponen dasar pressure tank, linear guideway, dan pipa kapiler. Hasil realisasi alat membuktikan bahwa alat marking dengan pressure tank mampu mengurangi tread yang tidak sesuai dengan spesifikasi sebesar 14%.
Hybrid Machine Learning Model untuk memprediksi Penyakit Jantung dengan Metode Logistic Regression dan Random Forest Silmi Ath Thahirah Al Azhima; Dwicky Darmawan; Nurul Fahmi Arief Hakim; Iwan Kustiawan; Mariya Al Qibtiya; Nendi Suhendi Syafei
Jurnal Teknologi Terpadu Vol. 8 No. 1: July, 2022
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v8i1.539

Abstract

The heart is the main organ that must work properly and regularly. If there is interference, it will be fatal, namely the onset of a heart attack. Heart attack is included in the 10 diseases with a high risk of death. This is caused by stress factors, blood pressure, excessive work, blood sugar, and others. The purpose of this study is to predict heart disease using Machine Learning (ML) algorithms as an early preventive measure on desktop-based information systems. With Machine Learning models, the hybrid model can increase the accuracy value of an ML method that is added to other ML methods. The accuracy value obtained from the Hybrid Model Machine Learning using the Random Forest and Logistic Regression methods is 84.48%, which is an increase of 1.32%.  
Microsoft Office Spesialist, Met PELATIHAN MICROSOFT OFFICE SPECIALIST (MOS) POWER POINT DALAM UPAYA PENINGKATAN KOMPETENSI GURU SMK PADA ERA DISRUPSI INDUSTRI 4.0 Resa Pramudita; Roer Eka Pawinanto; Muhammad Adli Rizqulloh; Nurul Fahmi Arief Hakiem; Mariya Al Qibtiya; Silmi Ath Thahirah Al Azhima
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 8 No. 3 (2022)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (516.088 KB) | DOI: 10.33197/jitter.vol8.iss3.2022.910

Abstract

Era disrupsi Industri membawa banyak pengaruh dalam kehidupan manusia, hal ini juga yang mempengaruhi dunia pendidikan, Salah satu cara meningkatkan kompetensi guru di era revolusi industry 4.0 ini adalah membekali guru dengan kemampuan skala global yaitu Microsoft Office Specialist atau MOS. Dari permasalahan tersebut kami berinisiatif untuk mengadakan Kegiatan pelatihan Microsoft Office Specialist (MOS) Power Point bagi guru SMK/SMA di kota Bandung. Pelatihan ini mengadaptasi model pelatihan Goad, yaitu Model ini terdiri atas beberapa siklus diantaranya adalah: (1) analisis kebutuhan pelatihan; (2)desain pendekatan pelatihan; (3) pengembangan materi pelatihan; (4) pelaksanaan pelatihan; (5) evaluasi dan pemutakhiran pelatihan.
Sistem Informasi Rekam Medis Berbasis Aplikasi Desktop untuk Daerah Pedesaan Dwicky Darmawan; Silmi Ath Thahirah Al Azhima; Nurul Fahmi Arief Hakim
EPSILON: Journal of Electrical Engineering and Information Technology Vol 20 No 2 (2022): EPSILON: Journal of Electrical Engineering and Information Technology
Publisher : Department of Electrical Engineering, UNJANI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55893/epsilon.v20i2.89

Abstract

Rural areas have several challenges that must be resolved. The availability of internet connections in the rural area is also one of the facilities that until now has not been evenly distributed. The clinical administration system is still conventional which has many weaknesses such as data processing, time management, and requires document storage space. So that the conventional system reduces the quality of clinical health services in the area. Therefore, this research was made with the method used is the waterfall model which aims to solve the challenges in making information systems. The advantage of using this method is that it is easy to use, directed, structured, and good for optimization. In this research, the information system created is in the form of a desktop application and is made using the Python programming language and MySQL database as a data storage area. This system is able to store personal data and patient history data according to the required information. In addition, this clinical information system is able to process data quickly and accurately, minimize lost data, search for the required data quickly, make patient data reports quickly and neatly, the system can be accessed by users even though there is no internet signal, and can reduce use of paper and reduce the use of space for patient data document storage.
LITERACY AND NUMERACY THROUGH KAMPUS MENGAJAR IN ELEMENTARY SCHOOLS TO SUPPORT THE MERDEKA BELAJAR CURRICULUM Nurul Fahmi Arief Hakim; Citra Nur A; Nia Kurniasih; Tiara Syifani Nur’aini
Abdi Dosen : Jurnal Pengabdian Pada Masyarakat Vol. 7 No. 3 (2023): SEPTEMBER
Publisher : LPPM Univ. Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/abdidos.v7i3.1717

Abstract

Merdeka Belajar program was launched as a government effort to improve the quality of education in Indonesia and face increasingly complex and dynamic global challenges. The educational problems at SDN 143 Kopo are the lack of optimal literacy and numeracy activities for students and the limited human resources to deal with a large number of students. The method used in this activity is the direct learning assistance method, where Kampus Mengajar (KM) students act as facilitators in helping students deal with difficulties encountered in learning. Each step taken will be explained descriptively. The flow of an implementation of activities made using 4 stages, namely observation, preparation, implementation, and evaluation has been going well. In practice, the planned work program for elementary school students includes the “Gerakan Literasi dan Numerasi” (GLS), creating reading corners, reciting activities, and teaching English. The result obtained is an increase in students' enthusiasm for learning, especially in literacy and numeracy skills. Students begin to be able to recognize letters, read and count with the help KM5 students. The planned work program can run with the help of KM5 students. The existence of KM5 students makes students more enthusiastic and enthusiastic in teaching and learning activities.
Compact Coplanar Waveguide Antenna Using Arm Patch for Software Defined Radio Nurul Fahmi Arief Hakim; Silmi Ath Thahirah Al Azhima; Mariya Al Qibtiya
Jurnal Elektronika dan Telekomunikasi Vol 23, No 1 (2023)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.524

Abstract

This article proposes a compact coplanar waveguide (CPW) antenna with a semicircular patch and patch arm above the feed line. The method used in this antenna research is experimental, with antenna parameter optimization, fabrication, and measurement steps. The antenna was 40 mm × 46 mm × 0.8 mm and was printed on an FR4 substrate. Antenna optimization was carried out with CST Studio Suite to obtain optimal results. Based on return loss measurement results, the proposed antenna has an operational frequency of 2 GHz–7 GHz. The antenna arm has a significant effect on the operational frequency of the antenna, as proven by a parameter study of the antenna arm. Parametric studies were carried out on the antenna by investigating the influence of geometric parameters on the frequency characteristics. Optimization results were printed then measured by a Vector Network Analyzer (VNA) and a spectrum analyzer. The fabricated CPW antenna has a wider operating frequency than the simulation. An omnidirectional radiation pattern was observed at 2 GHz–4 GHz. The antenna has been used as a transmitter and receiver at 2.4 GHz, 3 GHz, and 4 GHz. The antenna is able to receive the signal emitted from the signal generator.
Pengembangan Sistem Prediksi Waktu Penyiraman Optimal pada Perkebunan: Pendekatan Machine Learning untuk Peningkatan Produktivitas Pertanian Mohammad F Anggarda; Iwan Kustiawan; Deasy R Nurjanah; Nurul F A Hakim
JURNAL BUDIDAYA PERTANIAN Vol 19 No 2 (2023): Jurnal Budidaya Pertanian
Publisher : Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/jbdp.2023.19.2.124

Abstract

Modern agriculture relies heavily on technology, especially in irrigation management and crop watering. Several previous studies have applied field data-based predictive techniques to improve crop yields. This research aims to develop a prediction system for optimal watering time in plantations and agriculture using a machine learning approach. The rigorous methodology includes data capture, pre-processing, model evaluation and testing, validation, and visualization. High accuracy demonstrates the system's reliability in determining optimal watering needs to improve resource efficiency and crop yields in agriculture. The data obtained from the automatic weather station (AWS) via thingsboard is processed sequentially, starting from data retrieval in json format using postman to transformation into csv files with proper timestamp adjustment. The pre-processing stage includes data cleaning, variable selection, data integration, and generating a clean dataset. In the evaluation stage, the dataset is divided into training data and test data, with the application and comparison of logistic regression, random forest and decision tree models applied as classifiers. Furthermore, the validation and results stage includes prediction, performance testing using the confusion matrix, and visualization of prediction results in the form of text and icons that aim to increase interpetability for users through Google Collaboratory. The results of this research provide an overview of the optimal watering time based on the dataset from the automatic weather station. Further analysis shows that the implementation of machine learning models significantly improves the prediction accuracy, proving the effectiveness of the system in providing more precise watering time recommendations to increase agricultural productivity. The main objective is to develop a machine learning-based watering time prediction system using data from the automatic weather station and evaluate various classifier algorithms to select the best model.
Cumulative error correction of inertial navigation systems using LIDAR sensors and extended Kalman filter Silmi Ath Thahirah Al Azhima; Dadang Lukman Hakim; Robby Ikhfa Nulfatwa; Nurul Fahmi Arief Hakim; Mariya Al Qibtiya
Indonesian Journal of Electrical Engineering and Computer Science Vol 34, No 2: May 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v34.i2.pp878-887

Abstract

Autonomous robots have gained significant attention in research due to their ability to facilitate human work. Navigation systems, particularly localization, present a challenge in autonomous robots. The inertial navigation system is a localization system that uses inertial sensors and a wheel odometer to estimate the robot’s relative position to the initial position. However, the system is susceptible to continuous error accumulation over time due to factors like sensor noise and wheel slip. To address these issues, external sensors are required to measure the robot’s position in the environment. The extended Kalman filter (EKF) method is utilized to estimate the robot’s position based on wheel odometer and light detection and ranging (LIDAR) sensor measurements. In the prediction stage, the input to the EKF is the position measurement from the wheel odometer, while the LIDAR sensor’s position measurement is used in the update stage to improve the prediction stage results. The test results reveal that the EKF’s estimated position has a lower average error compared to the position measurement using the wheel odometer. Therefore, it can be concluded that the EKF technique is effectively applied to the robot and can correct the wheel odometer's cumulative error with the assistance of the LIDAR sensor.
Co-Authors Aip Saripudin Al Azhima, Silmi Ath Thahirah Al Qibtiya, Mariya Al Qibtya, Mariya Aldy Padmanegara Putra Anandayutya, Bagaskara Ardiansyah, Yogi Arjuni Budi Pantjawati Ath Thahirah Al Azhima, Silmi Audi Diva Fakhrudin Azhima, Silmi Ath Thahirah Al Budi, Agus Heri Setya Citra Nur A Dadang Lukman Hakim Darmawan, Alvin Dzaki Pratama Darmawan, Dwicky Deasy R Nurjanah Dwicky Darmawan Erik Haritman Fauzan, Mochamad Rizal Fredianto, Riko Iwan Kustiawan Juanda, Enjang Akmad Kaniarudi, Neneng Puspita Karostiani, Novia Khairi, Saiqa Fatur Mariya Al Qibtiya Mariya Al Qibtiya Mariya Al Qibtiya Mariya Al Qibtiya Mariya Al Qibtiya Moechammad Sarosa Mohammad F Anggarda Muhammad Adli Rizqulloh Muhammad Randi Alwi Nawawi, Aif Umar Nawawi, Imam Khushthon Nendi Suhendi Syafei Nia Kurniasih Nurhidayatulloh, Nurhidayatulloh Permadi, Tesya Prio Aji Widiantoro Resa Pramudita Riko Fredianto Robby Ikhfa Nulfatwa Roer Eka Pawinanto, Roer Eka Saputra, Dede Irawan Silmi Ath Thahirah Al Azhima Silmi Ath Thahirah Al Azhima Silmi Ath Thahirah Al Azhima Siscka Elvyanti, Siscka Tiara Syifani Nur’aini Tommi Haryadi Widiantoro, Prio Aji