Mesin Referensi Akademik

Machine learning-based detection of underreported occupational injuries and diseases for sustainable occupational health surveillance in Indonesia

Mochammad Andika Putra; Khoirul Muslim; Hardianto Iridiastadi; Dwita Astari Pujiartati; Wyke Kusmasari; Tarimantan S Saragih; An Nisa Pramasanti; Fergie S Mahaganti; Fadly Eka Pradana; Rendra H Hutabarat; Denny Siregar · DOAJ Open Access Articles

Occupational injury and disease surveillance plays an important role in supporting prevention-oriented occupational safety and health (OSH) governance. However, under-reporting of occupational injuries and diseases remains a persistent challenge, particularly in emerging economies where surveillance systems are often fragmented and administratively oriented.…

Student Performance Prediction Using Machine Learning

Hrutuja Umakant Aher · Zenodo Open Repository

Enhancing aridity index assessment in Pakistan's dryland ecosystems: A machine learning approach integrating remote sensing and seasonal lag effects

Mazhar, N.; Ghalub, A.K.; Malki, I.; Noreena; Arshad, S. · University of Westminster Research

Dryland ecosystems are highly vulnerable to increased aridity, thus exacerbating the drought stress. From this perspective, our study aimed to evaluate the aridity index (AI) and Standardized Precipitation Index at a three-month scale (SPI-3) across three arid stations of Pakistan from 1990 to 2023. Seven remote sensing indices were used as covariates with S…

Pemanfaatan Machine Learning Dengan Algoritma Support Vector Machine, Polynomial Regression, Dan Bayesian Ridge Regression Untuk Memprediksi Kasus Covid-19 Di Indonesia

Zufria, Ilka; Furqan, Mhd. · Repository UIN Sumatera Utara

Pandemi virus corona tahun 2019 yang disebut dengan Covid-19 telah membawa kegelisahan pada dunia termasuk negara Indonesia. Covid19 pertama kali masuk di Indonesia pada tanggal 2 Maret 2020 dan angka kasus penyebaran terus melonjak tinggi dalam kurun 7 bulan terakhir sampai di bulan Oktober 2020. Berdasarkan data yang tersedia di laman website Kementeri…

KLASIFIKASI TWEET BERDASARKAN SENTIMEN PADA PRODUK SMARTPHONE DENGAN MENGGUNAKAN METODE SUPORT VECTOR MACHINE

ANDRIAN HADINATA · UIN Sultan Syarif Kasim Riau

Dalam penelitian ini dilakukan klasifikasi sentimenmasyarakat berupatweet mengenai 5 produk smartphonediantaranya: oppo, samsung, sony, xiaomi dan asus yang dibagi ke dalam kelas sentimen positif dan negatif dengan menggunakankernel RBF dan polynomialpada metodesupport vector machine(SVM).Proses SVM dilakukan dengan menggunakan fung…

PENINGKATAN KOMPETENSI MEMBUAT HUMAN MACHINE INTERFACE (HMI) SISWA KELAS XII DENGAN MEDIA PEMBELAJARAN APLIKASI OMRON CX-SUPERVISOR DI SMK N 2 DEPOK SLEMAN

Ibrahim, M. Nur Fauzi · Universitas Negeri Yogyakarta

PENINGKATAN KOMPETENSI MEMBUAT HUMAN MACHINE INTERFACE (HMI) SISWA KELAS XII DENGAN MEDIA PEMBELAJARAN APLIKASI OMRON CX-SUPERVISOR DI SMK N 2 DEPOK SLEMAN Oleh: M. Nur Fauzi Ibrahim NIM: 12501241005 ABSTRAK Penelitian ini bertujuan untuk: (1) Untuk mengetahui apakah terdapat peningkatan kompetensi Membuat Human Machine Interface (HMI) Kelas XII sete…

EFEKTIVITAS PEMBELAJARAN BERBASIS MASALAH BERBANTUAN TRAINER HUMAN MACHINE INTERFACE UNTUK PENINGKATAN KOMPETENSI PERAKITAN SISTEM PLC SMK N 2 DEPOK

Febriyanto, Febriyanto · Universitas Negeri Yogyakarta

EFEKTIVITAS PEMBELAJARAN BERBASIS MASALAH BERBANTUAN TRAINER HUMAN MACHINE INTERFACE UNTUK PENINGKATAN KOMPETENSI PERAKITAN SISTEM PLC SMK N 2 DEPOK Oleh: Febriyanto NIM. 11501241037 ABSTRAK Tujuan penelitian ini yaitu untuk mengetahui: (1) gambaran penggunaan pembelajaran berbasis masalah berbantuan Trainer Human Machine Interface untuk meningkatkan k…

THE EFFECT OF SELF-EFFICACY AND ENTREPRENEURSHIP LEARNING ACHIEVEMENT ON MOTIVATION OF TECHNOLOGY BASED ENTREPRENEURSHIP (TECHNOPRENEURSHIP) ON MACHINERY TECHNIQUE VOCATION STUDENTS PROGRAM CLASS XI AT SMK MUHAMMADIYAH 3 YOGYAKARTA

Satria Bekti, Santosa · Universitas Negeri Yogyakarta

Abstract The effect of self-efficacy and entrepreneurship learning achievement on motivation of technology based entrepreneurship (technopreneurship) on machinery technique vocation students program class XI at SMK Muhammadiyah 3 yogyakarta have been investigated. Independent variable in this ex-post facto research were was self-efficacy (X1) and study achi…

A Learning Algorithm based on High School Teaching Wisdom

Philip, Ninan Sajeeth · arXiv

A learning algorithm based on primary school teaching and learning is presented. The methodology is to continuously evaluate a student and to give them training on the examples for which they repeatedly fail, until, they can correctly answer all types of questions. This incremental learning procedure produces better learning curves by demanding the student t…

Prediction model of preeclampsia using single nucleotide polymorphism and machine learning methods: A population-based cohort study in Jordan

Shatha Awawdeh; Hasan Rawashdeh; Hanaa Fathi; Arar Al Tawil; Fatima Al-Shannaq; Esraa Henawi; Omar F. Khabour · DOAJ Open Access Articles

Preeclampsia is the most common medical disorder in pregnancy that is steadily increasing over time. Evidence indicates that early identification of women at high risk, followed by timely preventive interventions such as Aspirin and close surveillance, can significantly reduce disease incidence and severity, highlighting the importance of accurate early pred…

Enhanced hybrid residual learning framework for robust wind turbine power prediction using machine learning

Mohammad Y. Mhawiash; Bashar S. Khassawneh; Kamal Alieyan; Issa Alsmadi; Mohammad Bani Younes; Mohamed S. Sawah · DOAJ Open Access Articles

Wind turbine power generation for any nation is always a priority since its impact on power grids and imbalance the sustainability parameters. This research work captures the variation in wind resource variability by implementing advanced machine learning models for short-term power forecasting using SCADA data. Here, a fresh framework was developed to focus…

Pengaruh Layanan Mobile Banking dan Automatic Teller Machine (ATM) Terhadap Tingkat Kepuasan Nasabah Bank Syariah Mandiri ( Studi Kasus di MIN 12 Medan )”.

Siregar, Abdullah · Repository UIN Sumatera Utara

Perbankan di Indonesia telah melakukan upaya untuk mecapai kepuasan nasabah dengan memaksimalkan penggunaan sarana layanan seperti mobile banking, dan Automatic Teller Machine (ATM). Hal tersebut dilakukan seluruhan perbankan di Indonesia karena memanfaatkan perkembangan yang tinggi saat ini khususnya pada penggunaan internet yang digunakan oleh masyarak…

Pemanfaatan Machine Learning Dengan Algoritma Support Vector Machine, Polynomial Regression, Dan Bayesian Ridge Regression Untuk Memprediksi Kasus Covid-19 Di Indonesia

Zufria, Ilka; Furqan, Mhd. · Repository UIN Sumatera Utara

Pandemi virus corona tahun 2019 yang disebut dengan Covid-19 telah membawa kegelisahan pada dunia termasuk negara Indonesia. Covid19 pertama kali masuk di Indonesia pada tanggal 2 Maret 2020 dan angka kasus penyebaran terus melonjak tinggi dalam kurun 7 bulan terakhir sampai di bulan Oktober 2020. Berdasarkan data yang tersedia di laman website Kementeri…

Media Literacy Education in the Age of Machine Learning

Teemu Valtonen; Matti Tedre; Kati Mäkitalo; Henriikka Vartiainen · DOAJ Open Access Articles

The media environment has radically changed over the past few decades. Transition and transformation of media platforms has enabled algorithms and automation to take over media processes such as production, content generation, curation, delivery, recommendation, and filtering of information. It has also enabled tracking of users’ actions, data mining, profil…

Awareness and adoption readiness of machine learning technology in the construction industry of a developing country: a case of Nigeria

Loya, S.O.; Eze, E.C.; Awodele, I.A.; Sofolahan, O.; Omoboye, O. · University of Westminster Research

This study investigated the awareness of the Nigerian construction organisations on some identified ML application areas, and the readiness of the organisations to adopt ML learning in the identified application areas. A comprehensive Literature review was undertaken to identify the application areas of ML, then, a well-structured questionnaire was developed…

APLIKASI SISTEM PENDUKUNG KEPUTUSAN PENEMPATAN ATM (AUTOMATIC TELLER MACHINE) BERDASARKAN PENYEBARAN PUSAT PERBELANJAAN DI PEKANBARU MENGGUNAKAN METODE NAÏVE BAYES DAN PETA INTERAKTIF

Jumadi Awis · UIN Sultan Syarif Kasim Riau

Saat ini terdapat banyak ATM yang didirikan dalam meningkatkan pelayanan kepada nasabah. Namun fungsionalitas dan efektifitas ATM tersebut belum memenuhi kebutuhan nasabah dikarenakan pengambilan keputusan penentuan lokasi ATM belum menggunakan sistem pendukung keputusan sehingga banyak kriteria yang terlupakan dalam penentuan lokasi ATM terbaik. Beberap…

A hybrid structural–machine learning framework: Conventional SVAR and random forest regression

Augusto Aliaga-Miranda; Luis Ricardo Flores-Vilcapoma; Jorge Miguel Chávez-Díaz; Luis Antonio Visurraga-Camargo; Jacqueline Denisse Llacza-Molina; Wilmar Salvador Chavarry-Becerra · DOAJ Open Access Articles

This study examines the transmission of copper price shocks to the Peruvian economy through a hybrid empirical framework that combines a conventional Structural Vector Autoregression model with Random Forest regression. Using quarterly and monthly macroeconomic data for 2004–2025, the analysis evaluates how copper shocks propagate through the exchange rate, …

A hybrid machine learning framework for optimized MSME classification and knowledge discovery in smart village systems

Eneng Tita Tosida; Ajiz Abdul Majid; Irma Anggraeni; Jumadil Saputra; Muhamad Deni Johansyah · DOAJ Open Access Articles

Micro, Small, and Medium Enterprises (MSMEs) are a vital component of local economic growth, making significant contributions to advancing Smart Village and Smart Economy programs. The classification and distribution processes to support MSMEs across numerous locations continue to be manual, subjective, and inefficient. This study employs a hybrid data minin…

Positional Health Assessment of Collaborative Robots Based on Long Short-Term Memory Auto-Encoder (LSTMAE) Network

Hasan, N.; Webb, L.; Kaniappan Chinnathai, M.; Hossain, M.A-A.; Ozkat, E.C.; Tokhi, M.O.; Alkan, B. · University of Westminster Research

Calibration is a vital part of ensuring the safety and smooth operation of any industrial robot and this is particularly essential for collaborative robots as any issue pertaining to safety can adversely impact the human operator. Towards this aim, Prognostics and Health Management (PHM) has been widely implemented in the context of collaborative robots to e…

Water Management in the Premodern Middle East

Anonim

This volume analyses water management in pre-1500 Middle Eastern cities. Managing access to fresh water for large numbers of people has always been great challenge. Nevertheless, premodern societies of the Middle East and North Africa were rather successful in providing water to city dwellers, pilgrims and travellers in and around large and highly populated …