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All Journal AL-MURABBI: Jurnal Studi Kependidikan dan Keislaman Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Ilmiah Pendidikan Fisika Edumaspul: Jurnal Pendidikan Pena Justisia: Media Komunikasi dan Kajian Hukum Jurnal Pendidikan dan Konseling Science Education and Application Journal Jurnal Eduscience (JES) Khazanah Pendidikan Islam Jurnal Studi Kependidikan dan Keislaman International Journal of Educational Review, Law And Social Sciences (IJERLAS) eScience Humanity Journal Jurnal Puan Indonesia Journal Of Human And Education (JAHE) International Journal of Education and Literature (IJEL) Literacy : International Scientific Journals of Social, Education, Humanities Innovative: Journal Of Social Science Research Indonesia Journal of Engineering and Education Technology (IJEET) Jurnal Pengabdian Masyarakat dan Riset Pendidikan Inovasi Sosial : Jurnal Pengabdian Kepada Masyarakat Edubiotik : Jurnal Pendidikan, Biologi dan Terapan
Tomi Apra Santosa
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The Role of HR Analytics in Enhancing Organizational Performance: A Review Literature Delfi Kurnia Zebua; Tomi Apra santosa; Fegid Dian Putra; Nanich Framulya
Indonesia Journal of Engineering and Education Technology (IJEET) Vol. 2 No. 2 (2024): Indonesia Journal of Engineering and Education Technology (IJEET)
Publisher : AKADEMI TEKNIK ADI KARYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61991/ijeet.v2i2.69

Abstract

The advent of Human Resource (HR) analytics has revolutionized the way organizations manage their workforce, enabling data-driven decision-making and strategic planning. This literature review aims to synthesize recent research on the role of HR analytics in enhancing organizational performance. By systematically analyzing studies published over the past decade, we identify key themes, methodologies, and findings that highlight the impact of HR analytics on various performance metrics. The review reveals that HR analytics contributes significantly to improving recruitment processes, employee retention, talent management, and overall organizational effectiveness. Moreover, the integration of advanced analytics tools and techniques, such as predictive modeling and machine learning, has been shown to provide deeper insights into employee behavior and organizational dynamics. Despite its benefits, the implementation of HR analytics faces several challenges, including data privacy concerns, the need for specialized skills, and resistance to change within organizations. This review concludes by discussing the implications for HR practitioners and offering recommendations for future research to address the existing gaps and further harness the potential of HR analytics in driving organizational success.
DEVELOPMENT OF INSTRUMENTS FOR ASSESSING HIGHER-ORDER THINKING SKILLS (HOTS) PHYSICS IN HIGH SCHOOL: LITERATURE REVIEW Nurmaliati; Ilwandri; Tomi Apra santosa
Indonesia Journal of Engineering and Education Technology (IJEET) Vol. 2 No. 2 (2024): Indonesia Journal of Engineering and Education Technology (IJEET)
Publisher : AKADEMI TEKNIK ADI KARYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61991/ijeet.v2i2.75

Abstract

Higher-order thinking skills (HOTS) are a student's abilities that include logical and reasoning abilities, analysis, evaluation, and creation. This study aims to identify the development of instruments for assessing higher-order thinking skills (HOTS) in Physics in high school. This review uses a qualitative approach by examining journals from 2016 to 2020. Based on the results of the analysis, show that one form of assessment developed is test questions with multiple choice, reasoned multiple choice, and description-type instruments. The test questions were developed to pay attention to HOTS, KKO indicators, physics, and stimulus problems, as well as Bloom's taxonomy. The materials that are widely developed are temperature and heat, harmonic vibrations, and static and dynamic fluids. The methods often used in this development research are the R&D method from Brog and Gall, the 4D method, the qualitative descriptive method, and the ADDIE method. The HOTS instrument is carried out through a feasibility test and analysis process, including through a validity test by a validator, reliability test, difficulty level test, differential power test, Rasch model analysis, analysis using Cronbach's Alpha formula, and question distractor test. The results of this study are an illustration of important points related to how to develop instruments for assessing higher-order thinking skills(HOTS) in Physics in high school
The Impact of Machine Learning Technology on E-Learning Platforms on Student Learning Behavior Asrul Sani; Tomi Apra santosa; Ratih Dheviana Puru Hitaningtyas; Daniel Pasaribu; Yohanis Yakubun
Indonesia Journal of Engineering and Education Technology (IJEET) Vol. 2 No. 2 (2024): Indonesia Journal of Engineering and Education Technology (IJEET)
Publisher : AKADEMI TEKNIK ADI KARYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61991/ijeet.v2i2.77

Abstract

This study aims to determine the influence of Machine Learning Technology on the E-Learning Platform on student learning behavior. This research is a type of meta-analysis research. The data source comes from 10 national journals indexed by SINTA published in 2022-2024. Deep collection technique through direct observation. The process of searching for virgin sources through google scholar, ERIC, and IEEE. Data analysis is statistical data analysis by calculating the effect size value with the help of the JSAP application. The results of the study concluded that the average effect size value was 0.791 in the medium effect size category. These findings explain that there is a significant influence of machine learning technology on e-learning platforms on student learning behavior.
Effect Size Model Pembelajaran Project Based Learning Berbasis IoT terhadap Keterampilan Berpikir Abad 21 Siswa: Effect Size IoT Based Project Based Learning Model on Students 21st Century Thinking Skills Baso Intang Sappaile; Andi Yustira Lestari; Nadriyah; Andri Kurniawan; Ellina Rienovita; Sukini; Tomi Apra Santosa
PUAN INDONESIA Vol. 5 No. 2 (2024): Vol. 5 No. 2 (2024): Jurnal Puan Indonesia Vol 5 No 2 Januari 2024
Publisher : ASOSIASI IDEBAHASA KEPRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37296/jpi.v5i2.222

Abstract

This research aims to determine the effect of IoT based Project Based Learning on Students' 21st Century Skills. This type of research is a meta-analysis research type. The data source in this research comes from an analysis of 13 journals published 2020-2024. Data source search process via Google Scholar, ScienceDirect, Researchgate, Taylor of Francis and ERIC. Data search keywords are Internet of Things, Project Based Learning, Influence of IoT based on Project Based Learning on students' critical thinking skills. Data collection techniques are direct observation and documentation. Data analysis calculates the effect size value of the entire research using the JSAP application. The results of this research conclude that there is an influence of the Internet of Things based on project based learning on students' critical thinking skills with an average effect size value of 1.18 in the high effect size category. These findings show that the application of the Internet of Things based on project based learning is effective in encouraging students' critical thinking skills
UTILIZATION OF BIM (BUILDING INFORMATION MODELING) TECHNOLOGY TO INCREASE EFFICIENCY AND ACCURACY OF INFRASTRUCTURE PROJECT PLANNING Tomi Apra Santosa
Inovasi Sosial : Jurnal Pengabdian Kepada Masyarakat Vol. 2 No. 2 (2024): INP PRESS
Publisher : LPPM Akademi Teknik Adikarya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61991/inovasisosial.v1i1.21

Abstract

This research aims to investigate the use of BIM (Building Information Modeling) Technology as an innovative solution in increasing the efficiency and accuracy of infrastructure project planning. The research method consists of identifying stakeholder needs, developing an integrated 3D BIM model, validating and testing the model, integration into the Project Information Management System (PMIS), as well as training and application in the field. By adopting this approach, it is hoped that it will be able to improve the quality of planning information, provide a holistic view of the project, and optimize collaboration between stakeholders. This research focuses not only on the technical aspects of BIM models, but also on their practical implementation in real construction environments. The results of this research are expected to make a significant contribution to increasing the effectiveness of infrastructure project management through the use of BIM technology.
Increased Concrete Strength with the Addition of Hyacinth Natural Fibers Losita Dewi; Dewanto; Santi Mareta; Destra Amni; Sisi Yulianti; Delfi Kurnia Zebua; Wiwid Suryono; Tomi Apra Santosa; Mohammad Edy Nurtamam
Inovasi Sosial : Jurnal Pengabdian Kepada Masyarakat Vol. 1 No. 1 (2023): Inovasi Sosial : Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM Akademi Teknik Adikarya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61991/inovasisosial.v1i1.23

Abstract

Concrete is a brittle and fragile construction material so it needs to be increased in strength. This study aims to increase the strength of concrete by adding natural fibers of water hyacinth to the concrete mixture. Hyacinth fibers are cut by 3-5 cm and added with variations of 0%, 0.1%, 0.2%, 0.3%, 0.4% and 0.5% of the volume of concrete. Cylindrical specimens 15 cm in diameter and 30 cm in height were tested for compressive strength and tensile strength at the age of 28 days. The test results showed that the addition of hyacinth fiber up to 0.5% increased the compressive strength of concrete up to 17.6% and tensile strength up to 71.4% compared to normal concrete without fiber. The increase in strength is due to hyacinth fibers being able to withstand micro-cracks in concrete. The more fiber added, the more microcracks are able to be prevented thereby increasing the strength of concrete. In conclusion, the natural fiber of hyacinth effectively increases the strength of concrete both in compressive and tensile capacity.
Blood Type Checking as an Effort to Improve Public Knowledge and Health Nurmaliati; Indra Wijaya; Tomi Apra santosa
Inovasi Sosial : Jurnal Pengabdian Kepada Masyarakat Vol. 2 No. 2 (2024): INP PRESS
Publisher : LPPM Akademi Teknik Adikarya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61991/inovasisosial.v2i2.90

Abstract

Pengabdian ini dilaksanakan di Desa Kungkai, Kecamatan Bangko, Kabupaten Merangin Provinsi Jambi. Permasalahan yang dihadapi adalah banyaknya warga Desa Kungkai yang tidak mengetahui gologan darah mereka (Khususnya ibu-ibu). Banyak faktor yang menyebabkan hal tersebut diantaranya, karena kurangnya informasi tentang manfaat mengetahui golongan darah. Permasalahan ini membuat masyarakat di Desa Kungkai, kesulitan mencari pendonor darah ketika ada keluarga atau tetangga yang membutuhkan pertolongan tambahan darah. Selain itu terkadang warga juga di buat susah mengisi suatu formulir isian yang menghendaki informasi golongan darah. Adapun metode yang dilaksanakan dalam kegiatan pengabdian ini adalah berupa penyuluhan mengenai golongan darah, pentingnya mengetahui golongan darah, pentingnya donor darah bagi yang membutuhkan serta pengecekan langsung golongan darah. Metode tersebut terlaksana dengan mitra ibu-ibu yang berjumlah 20 orang. Setelah kegiatan pengabdian terlaksana diperoleh hasil (1) Mitra mendapatkan pengetahuan tentang jenis-jenis golongan darah, (2) Mitra mendapat pengetahuan pentingnya donor darah bagi yang membutuhkan (3) Mitra mengetahui manfaat mengethui jenis golongan darahnya.
The Effect of Machine Learning-Assisted Inquiry Based Learning Size Model on Students' Problem-Solving Thinking Skills Sapulete, Heppy; Tomi Apra santosa; Hasyim Mahmud Wantu; Ahamd Zain Sarnoto; Aat Ruchiat Nungraha; Eko Nursalim; Togam E Panggabean; Alek Irawan Triantho
eScience Humanity Journal Vol 5 No 1 (2024): eScience Humanity Journal Volume 5 Number 1 November 2024
Publisher : Asosiasi Ide Bahasa Kepri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37296/esci.v5i1.226

Abstract

This study aims to determine the influence of the Machine Learning-assisted Inquiry Based Learning Model on Students' Problem-Solving Thinking Ability. This type of research is a quantitative research with a meta-analysis approach. The data sources in this study come from 12 reputable national and international journals published in 2022-2024. The data collection technique is direct observation through the jury database. The search for data sources in this study is based on google scholar; ERIC, Wiley and Sciencedirect. Data analysis is quantitative data analysis by calculating the effect size value. The results of the study concluded that the inquiry-based learning model assisted by machine learning had a positive influence on students' problem-solving ability with an effect size value of 1,02 in the high effects size category
Deep Learning Model in Science Learning: Bibliometric Analysis Happy, Nurina; Tomi Apra Santosa; Siti Fatimah Hiola; Ifa Safira; Nur Latifah; Dewanto; Muh. Safar; Aat Ruchiat Nungraha
Science Education and Application Journal Vol 7 No 1 (2025): Science Education and Application Journal
Publisher : Program Studi Pendidikan IPA, Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/seaj.v7i1.1160

Abstract

The deep learning model is one of the learning models that can be applied in science learning. Research related to deep learning has grown very rapidly in recent years. Research on deep learning models has produced many theoretical and empirical findings. Many trends have emerged to highlight the complexity and dynamics of deep learning models in science learning.  This study aims to discover the latest trends in deep learning model research in science learning. This study uses a bibliometric approach of analysis based on the Google Scholar database. Based on this study's title, abstract, and keywords, it produced 872 studies from 2015-2024. The results of this study show that the deep learning model in this learning has increased significantly in 2022. The increase in research on deep learning models shows the importance of applying deep learning models in learning.
DEVELOPMENT OF INSTRUMENTS FOR ASSESSING HIGHER-ORDER THINKING SKILLS (HOTS) PHYSICS IN HIGH SCHOOL (LITERATURE REVIEW) Nurmaliati, Nurmaliati; Ilwandri; Tomi Apra santosa
Indonesia Journal of Engineering and Education Technology (IJEET) Vol. 3 No. 1 (2025): Indonesia Journal of Engineering and Education Technology (IJEET)
Publisher : AKADEMI TEKNIK ADI KARYA

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

Abstract

Higher-order thinking skills (HOTS) are a student's abilities that include logical and reasoning abilities, analysis, evaluation, and creation. This study aims to identify the development of instruments for assessing higher-order thinking skills (HOTS) in Physics in high school. This review uses a qualitative approach by examining journals from 2016 to 2020. Based on the results of the analysis, show that one form of assessment developed is test questions with multiple choice, reasoned multiple choice, and description-type instruments. The test questions were developed to pay attention to HOTS, KKO indicators, physics, and stimulus problems, as well as Bloom's taxonomy. The materials that are widely developed are temperature and heat, harmonic vibrations, and static and dynamic fluids. The methods often used in this development research are the R&D method from Brog and Gall, the 4D method, the qualitative descriptive method, and the ADDIE method. The HOTS instrument is carried out through a feasibility test and analysis process, including through a validity test by a validator, reliability test, difficulty level test, differential power test, Rasch model analysis, analysis using Cronbach's Alpha formula, and question distractor test. The results of this study are an illustration of important points related to how to develop instruments for assessing higher-order thinking skills(HOTS) in Physics in high school
Co-Authors Aat Ruchiat Nugraha Aat Ruchiat Nungraha Abdul Rahman Abdul Razak Abdul Razak Abdullah Ardi Agus Supriyadi Agus Triyono Ahmad Aswar Roa Ahmad Zain Sarnoto Alek Irawan Triantho Alex Irawan Trianto Aloisius Harso Andi Bustamin Daeng Kunu Andi Yustira Lestari ANDRI KURNIAWAN Arya Ningsih Asrul Sani Aulia Sofianora Aulia Sofianora Baktiar Nasution Bambang Bagus Haryanto Baso Intang Sappaile Baso Intang Sappaile Bucky Wibawa Karya Guna Daniel Pasaribu Delfi Kurnia Zebua Destra Amni desy desy DEWANTO Diah Fatma Sjoraida Dika Sulmadianti Eko Nursalim Ellina Rienovita Eria Marina Sepriyani Fegid Dian Putra Festiyed Festiyed Festiyed Fitriah Handayani Flavia Oktavianti Gracesy Prisela Christy Gunawan Ali Hadi Widodo Hasyim Mahmud Wantu Hersiyati Palayukan Heru Widoyo I Made Artana Ichsan Ichsan Ichsan Ichsan Ichsan Ichsan Ida Elfira Ifa Safira Ilwandri Ilwandri Ilwandri Ilwandri Ilwandri Ilwandri Ilwandri Indah Kencanawati Irdawati Irdawati Jedithjah Naapia Tamedi Papia Jusmawati Khodzijah Nur Amalia Linda Winiasri Listrianti, Feriska Losita Dewi Lufri Lufri Mira Nila Kusuma Dewi Moh. Solehuddin Mohammad Edy Nurtamam Muchammad Chusnan Aprianto Muh. Safar Muh.Safar Muhammad Edy Nurtamam Muhammad Edy Nurtamam Munir Tubagus Nadriyah Nahria Nahria, Nahria Nanich Framulya Nasruddin Nasruddin Nenni Triana Sinaga Novianty Djafri Nur Latifah Nurina Happy Nurmaliati Nurmaliati Nurmaliati, Nurmaliati Nurul Miqat Rahmah, Andi Ramadhan Sumarmin Ratih Dheviana Puru Hitaningtyas Reni Lestari Revi Gina Gunawan Ringgo Putra Rodhiatul Alawiyah Rusmawan sanju aprilisia Santi Mareta Santi Mareta Sapulete, Heppy Satria, Erwinsyah Siagian, Gunaria Sisi Yulianti Siti Aisyah Siti Fatimah Hiola Suhaimi Suhaimi Suhardy Sukini Sukini, Sukini Sutarto Sutarto Suyahman Suyahman Togam E Panggabean Toni Haryanto Tri Suparyanto Unan Yasmaniar Oktiawati Unpris Yastanti Upris Yastanti Via Yustitia Violita Violita WAHYUDI Waqiah, Waqiah Wijaya, Indra Winda Ayu Fietri Wiwid Suryono Wiwid Suryono Yayat Suharyat Yayat Suharyat Yerimadesi Yerimadesi Yohandri Yohanis Yakubun Youna Chatrine Bachtiar Zulyusri Zulyusri Zulyusri Zulyusri Zulyusri