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All Journal Teknologi dan Kejuruan: Jurnal teknologi, Kejuruan dan Pengajarannya JIPTEK : Jurnal Ilmiah Pendidikan Teknik dan Kejuruan TELKOMNIKA (Telecommunication Computing Electronics and Control) Indonesian Journal of Science and Technology ELECTRANS INVOTEC Momentum: Physics Education Journal JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) Jurnal ULTIMA Computing Indonesian Journal of Electrical Engineering and Computer Science
Dadang Lukman Hakim
Universitas Pendidikan Indonesia, Indonesia
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Physics Social Sciences

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Implementation of Low-Cost Laboratory in Education: A Systematic Literature Review Suryadi Fajrin; Dadang Lukman Hakim
JIPTEK : Jurnal Ilmiah Pendidikan Teknik dan Kejuruan Vol 16, No 2 (2023): July
Publisher : Faculty of Teacher Training and Education Universitas Sebelas Maret Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jiptek.v16i2.74489

Abstract

The availability of educational facilities is still a problem in many countries. Inadequate laboratory equipment will affect student learning outcomes and the quality of graduates. Therefore, many studies have developed low-cost laboratories as an alternative solution. This article aims to study the development of low-cost laboratories and their implementation in learning. This study used the systematic literature review (SLR) method. The articles used in this study were published from 2017–2021 and obtained from the IEEE Xplore database. After the papers were accepted, we were selected using inclusion and exclusion criteria. Thirty-two articles were used. The results show that a low-cost laboratory can be an alternative solution to the high price of commercial equipment and a learning tool to improve learning outcomes. The methods used in implementing low-cost laboratories are design, research and development, and experimentation. Using low-cost laboratories in learning activities improves the quality of learning outcomes.
Identification of Career Choice for Vocational High School Students: A Review Kurnia Kurnia; Dadang Lukman Hakim
JIPTEK : Jurnal Ilmiah Pendidikan Teknik dan Kejuruan Vol 16, No 2 (2023): July
Publisher : Faculty of Teacher Training and Education Universitas Sebelas Maret Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jiptek.v16i2.67732

Abstract

Career uncertainty and unpreparedness of Vocational High School students in the face of the world of work are often associated with career choice factors (career choice). This causes many students who are not confident in choosing available job opportunities and some even choose not to work or become unemployed. This study aims to identify the factors that influence students' career decisions. This study applied the systematic literature review methodology to articles published in foreign journals. The researchers applied predetermined search parameters to locate ten pertinent articles published between 2019 and 2021. The study concluded that it is essential to recognize the factors that influence career decisions. It is crucial to assist students in concentrating more on the job search process and obtaining their desired positions. Employability, as determined by personal traits such as a proactive personality, self-reported education, personal preferences, performance expectations, days worked, industry experience, and years of study, was the most significant factor, followed by social status and prior work experience. This research also has educational and professional applications. Advisors who develop the personal potential of graduates can assist students and job seekers in adopting and exploring career strategies.
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.
Implementation of Low-Cost Laboratory in Education: A Systematic Literature Review Fajrin, Suryadi; Hakim, Dadang Lukman
Teknologi dan Kejuruan: Jurnal Teknologi, Kejuruan, dan Pengajarannya Vol 45, No 2: September 2022
Publisher : Fakultas Teknik Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um031v45i22022p123-132

Abstract

In developing countries, the need of practical facilities such as teaching aids and laboratories equipment is still a problem in education. This Inadequate laboratory equipment will affect learning outcomes, and the quality of graduates. The high price of commercial equipment is one of the factors. Therefore, there has been a lot of research to develop low-cost laboratory. This article aims to review the development of low-cost laboratory and how they have implemented in learning. The Systematic Literature Review  method is used to overview the implementation of low-cost laboratories in the learning. The synthesis of articles refers to the PRISMA 2020 guidelines. The published articles used in this study were obtained from the IEEE Xplore database for publication from 2017 – 2021.  After the articles are selected using inclusion and exclusion criteria, 32 articles were obtained for use. The results of this study indicate that a low-cost laboratory can be an alternative solution to the high price of commercial equipment, and as a learning aid to improve learning outcomes. The methods used in implementing low-cost laboratories are design, research and development and experimentation. The use of low-cost laboratories in learning activities shows a positive impact on improving the quality of learning outcomes
Solar irradiation intensity forecasting for solar panel power output analyze Sucita, Tasma; Hakim, Dadang Lukman; Hidayahtulloh, Rizky Heryanto; Fahrizal, Diki
Indonesian Journal of Electrical Engineering and Computer Science Vol 36, No 1: October 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v36.i1.pp74-85

Abstract

Accurate forecasting of global horizontal irradiance (GHI) is critical for optimizing solar power plant (SPP) output, particularly in tropical locales where solar potential is high yet underutilized due to forecasting challenges. This research aims to enhance GHI prediction in one of the major cities of Indonesia, where existing models struggle with the area’s natural climate unpredictability. Our analysis harnesses a decade of data 2011-2020, including GHI, temperature, and the Sky Insolation Clearness Index, to calibrate and compare these methodologies. We evaluate and contrast the exponential smoothing method versus the more complicated artificial neural network (ANN). Our findings reveal that the ANN method, notably its fourth iteration model with 12 input and hidden layers, substantially outperforms exponential smoothing with a low error rate of 1.12%. The use of these methodologies forecasts an average energy output of 252,405 Watt for a solar panel with specification 15.3% efficiency and 1.31 m2 surface area throughout the 2021 to 2025 timeframe. The work offers the ANN method as a strong prediction tool for SPP development and urges a further exploration into more advanced forecasting methodologies to better harness solar energy.
Air Filtration System Utilizing Biomimetic Technology and IoT for Air Quality Improvement Fauzan, Mochamad Rizal; Al Azhima, Silmi Ath Thahirah; Pramudita, Resa; Hakim, Dadang Lukman; Rahmawati, Hanifah Indah; Azmi, Mutiara Nabila; Fauzi, Rafi Rahman; Somantri, Maman; Rahayu, Sri
Ultima Computing : Jurnal Sistem Komputer Vol 16 No 2 (2024): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v16i2.3871

Abstract

The "Hepix" smart air filtration system, developed with biomimetic and Internet of Things (IoT) technology, aims to address the urgent issue of poor indoor air quality, particularly in high-mobility urban areas. This system integrates advanced sensors (MQ135 and BME680) and biomimetic filtration inspired by leaf stomata to monitor and filter air pollutants. Tested across three locations—Cilame, Jatinangor, and Cibiru—the system achieved an approximate 24.4% reduction in pollutant levels, as well as stable control of humidity and air pressure. Real-time data is continuously monitored through a mobile and web interface, supported by Google Assistant integration for voice commands. The results demonstrate that "Hepix" effectively improves air quality, offering a practical solution for healthier indoor environments in urban areas.
Co-Authors Ade Gafar Abdullah, Ade Gafar Ade Gaffar Abdullah Aip Saripudin Al Azhima, Silmi Ath Thahirah Almira Hery Setiorini Ardha Rizky Juniawan Arfiansyah Rahman Asep Bayu Dani Nandiyanto Azmi, Mutiara Nabila Bambang Trisno Budi Mulyanti Elih Mulyana, Elih Erik Haritman Fahrizal, Diki Fajrin, Suryadi Fauzan, Mochamad Rizal Fauzi, Rafi Rahman Hidayahtulloh, Rizky Heryanto Irvan Indrawan Kurnia Kurnia Lala Septem Riza Maman Somantri Mariya Al Qibtiya Mariya Al Qibtiya Muhammad Afif Auliya Muhammad Aziz Mupita, Jonah Nabila Andara Dwitasari Nur Adillawati Kosim Saputri Nurhidayatulloh Nurhidayatulloh Nurul Fahmi Arief Hakim Pramudita, Resa Rahmawati, Hanifah Indah Resti Fauziah, Resti Robby Ikhfa Nulfatwa Roer Eka Pawinanto, Roer Eka Saputra, Dede Irawan Silmi At Thahirah Al Azhima Silmi Ath Thahirah Al Azhima SRI RAHAYU Subekti, Eri Suryadi Fajrin Tasma Sucita Tuti Suartini Wasimudin Surya S Wawan Purnama Yadi Mulyadi