Dony Novaliendry
@unp.ac.id
Engineering Faculty, Electronic Department
Universitas Negeri Padang
EDUCATION
Ph.D. candidate at National Kaohsiung University of Science and Technology
RESEARCH INTERESTS
Bioinformatics, BioMedic, Artificial Intelligence, Data Mining, Machine Learning
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Agariadne Dwinggo Samala, Soha Rawas, Santiago Criollo-C, Olha Bondarenko, Abelriadne Gentarefori Samala, and Dony Novaliendry
Association for Information Communication Technology Education and Science (UIKTEN)
Education stands as the bedrock of individual growth and a defining force in shaping a nation’s identity. Serving as a fundamental pillar for societal advancement, it emerges as a paramount investment for cultivating a golden generation marked by prosperity, health, and equitable communities. In the expansive landscape of global education, Indonesia boasts one of the largest systems, with a resolute commitment from the government evident in high budget allocations. However, despite these endeavors, Indonesia grapples with challenges, reflected in its low international education ranking, currently standing at 6th from the bottom. This study meticulously explores the core challenges embedded in the Indonesian educational system. Using bibliometric analysis following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, the authors scrutinized 367 high-quality articles from the Scopus database spanning from August 2000 to 2023. The findings reveal 12 central issues, including curriculum dynamics, persistent educational inequalities, teacher shortages, infrastructure limitations, the specter of corruption, escalating dropout rates, and more. These insights guide policymakers, educators, and researchers committed to navigating and transforming Indonesia’s educational landscape toward a brighter future.
Nenny Mahyuddin, Rani Sofiya, Andi Agusniati, Yuliani Nurani, Dony Novaliendry, and Elida
International Association of Online Engineering (IAOE)
Board games are educational tools consisting of a board with boxes drawn on it. In this game, there are several rules that must be followed, which involve social interaction between children during playtime. This study aims to develop a board game on the theme of air to support children’s growth and development as well as enhance their knowledge related to the topic. Moreover, this R&D study employed 4D development with data analysis techniques for validation, practicality, and effectiveness. The data were collected through interviews and expert validation of the product. Moreover, this study has reached the fourth stage, which is dissemination. The population of this study consisted of 65 children aged 5–6 years at Aisyiyah Sicincin Kindergarten, Padang Pariaman Regency. Based on the results, it was found that board game media are effective in promoting children’s growth and development in terms of cognitive, linguistic, and motor skills.
Dony Novaliendry, Rahmat Febri Yoga Saputra, Novi Febrianti, Doni Tri Putra Yanto, Fadhillah Majid Saragih, and Wan Mohd Yusof Rahiman
International Association of Online Engineering (IAOE)
The world is currently abuzz with the rapid development of technology in the era of Industrial Revolution 4.0. Various technological advancements are facilitating progress and accelerating the development of industrial technology. This evolution has led to automation in production processes, transitioning toward digitalization. With the implementation of sensors that provide real-time data, production processes can now be monitored remotely. However, direct monitoring is still necessary at times to periodically check the condition of each operating machine. Therefore, there is a need for technology that can monitor production processes and reduce high maintenance costs. Currently, numerous new technologies are emerging to enhance the performance and efficiency of production processes in various industries. One such technology is the digital twin. A digital twin is a visual representation that offers insights into the continuous operations of a system. This research focuses on an industrial manufacturing monitoring system that integrates the Internet of Things (IoT) and augmented reality (AR) technologies. The system is composed of an application and a prototype machine in the form of a conveyor, which can simulate a digital twin of the prototype machine. It also transmits sensor data and error notifications to the application in real time. The designed system can serve as a prototype for implementing digital twin technology, combining IoT and AR. This makes it possible to apply the technology to machinery and production tools in various industrial sectors.
Muhammad Adri, Dony Novaliendry, I. Islapirna, Eni Elfina, and Sri Ardayanti
AIP Publishing
Dony Novaliendry, Muhammad Adri, Z. Zakaria, Rudi Yanto, and P. Ponimin
AIP Publishing
Rahadian Zainul, Rismi Verawati, Agus Suprijono, Riso Sari Mandeli, Asri Peni Wulandari, Dony Novaliendry, Ritmaleni Ritmaleni, Linda Rosalina, Muhammad Arya Ghifari, Amalia Putri Lubis,et al.
EManuscript Technologies
Dony Novaliendry, Asyifa Rahmani, Titi SriWahyuni, and Bayu Ramadhani Fajri
International Association of Online Engineering (IAOE)
Practicum activities are crucial for supporting students’ success in the teaching and learning process. To conduct the practicum, several factors are required, which vary depending on the field of practice. Adequate facilities and equipment are also necessary. The purpose of this research is to develop a web-based interactive virtual learning application for chemistry lab experiments. The stages involved in creating an application using the multimedia development life cycle (MDLC) method include planning, designing, collecting material, manufacturing, testing, and distribution. Creating applications using Unity software and designing assets with Adobe Illustrator. Virtual labs can help overcome the lack of costs associated with procuring laboratory equipment and materials, reduce the risk of work accidents, and can be accessed from anywhere.
Elida, Dony Novaliendry, Noper Ardi, Erni Marlina Binti Saari, and Nurindah Dwiyani
International Association of Online Engineering (IAOE)
This study aimed to develop an Android-based learning model for subjects of Creative Products and Entrepreneurship for catering students at Vocational Schools. The study analyzed the validity of Android- based learning models and analyzed practicality and the effectiveness of Android-based learning models for Creative Product and Entrepreneurship subjects for catering students at SMK Negeri 9 Padang. Based on the validity assessment of material experts, media experts, linguists, and practitioners, the average score of material aspects is 4.78 (Very Eligible), the media aspect is 4.22 (Very Eligible), and the language aspect is 4.23 (Very decent). The results of practicality tests for teachers and students, as well as the effectiveness test of the use of Android-based learning media on students of Creative Product and Entrepreneurship subjects conducted using a questionnaire, obtained a practicality value of 4.55 (feasible) and effectiveness of 4.62 (feasible).
Dony Novaliendry, M. Fadilah Putra Pratama, Khairi Budayawan, Yasdinul Huda, and Wan Mohd Yusof Rahiman
International Association of Online Engineering (IAOE)
Sign language is a communication system used by individuals with hearing impairments to interact and convey messages without using verbal sounds. Sign language has its own unique grammatical structure and vocabulary, enabling sign language users to express ideas and emotions through facial expressions, hand movements, and body positions. In this research, we explore important aspects of sign language, including its uniqueness, complexity, and diversity across different countries and cultures. We also discuss the role of sign language in facilitating communication, education, and social inclusion for the deaf community. This research highlights the significance of introducing and developing sign language competence among the general public, educators, and professionals in the fields of healthcare and social services. The development of the sign language learning media utilizes the Multimedia Development Life Cycle method. The main application used in creating the sign language learning media is Flutter, along with supporting applications such as Adobe Illustrator 2020 and Adobe Photoshop CC 2019. The features included in this application are finger alphabet signs, number signs, video tutorials for numbers and letter signs, quizzes, and learning objectives.
Dony Novaliendry, Khairi Budayawan, Rogi Auvi, Bayu Ramadhani Fajri, and Yasdinul Huda
International Association of Online Engineering (IAOE)
Sign language has become a very important means of communication for individuals with hearing loss, allowing them to interact with people who are not hearing impaired. In recent years, virtual reality (VR) technology has advanced rapidly, opening up new opportunities to enhance the user experience in various situations. This study aims to design and develop an easy-to-use virtual reality-based interactive sign language application. The software development method used is the Software Life Cycle Development Method (MDLC), which includes the stages of analysis, design, implementation and testing. This app is designed to run on affordable and popular VR devices to make it accessible to as many individuals as possible. In the development process, we conducted an analysis of various sign languages used globally, focusing on hand gestures and facial expressions which have an important role in sign language communication. Users can learn and practice sign language through interactive experiences in a virtual environment that mimics real-life situations. This application is also equipped with visual and audio feedback features to help users improve and hone their skills. At the testing stage, this application was evaluated through trials involving participants with diverse backgrounds in the use of sign language. The test results show that users feel involved in the VR experience and experience increased confidence in using sign language after using this application. This research proves that VR technology can be an effective tool in sign language learning and development. Thus, the virtual reality-based sign language application that has been designed and developed in this study makes a significant contribution in increasing the accessibility of communication for individuals with hearing impairments. The implications of this research can be the basis for further development in the field of sign language and VR technology.
Dony Novaliendry, Tegar Wibowo, Noper Ardi, Tiolina Evi, and Dwi Admojo
International Association of Online Engineering (IAOE)
RSUD Mohammad Natsir Solok, located in Solok City, provides comprehensive individual health services within its premises, offering both inpatient and outpatient care with 24-hour service availability. Inpatient services encompass emergency care and basic health services. A crucial component of healthcare operations is medical records, which consist of documented information pertaining to patient identity, examinations, treatments, procedures, and other services rendered. Medical records are essential and should be meticulously created in written or electronic form to ensure completeness and clarity. One common challenge encountered in maintaining medical records is the presence of overlapping data. To tackle this issue, data mining techniques are employed, with clustering being the primary method of choice. The K-Means algorithm is specifically utilized for clusterization purposes. By applying this data mining process and grouping patient medical records, valuable insights into the patterns of disease spread across different villages can be obtained. After applying K-Means clustering method, four distinct clusters were identified. The first cluster comprises 562 items, the second has 406 items, and the third and fourth have 791 and 279 items, respectively. These findings can serve as a reference for the local government, particularly the Solok City Health Office, to facilitate disease prevention initiatives and awareness campaigns. Decision-making related to disease sources, diagnosis, age, and gender of the affected patient can be informed by this data analysis.
Mohamad Hazwan Mohd Ghazali, Wan Rahiman, Dony Novaliendry, and Risfendra
IEEE
In recent years, there has been considerable interest in drones due to their flexibility and decreasing price. Drones are made up of electrical and mechanical components, and failure in these components might deteriorate the drone’s performance and, worse, lead it to crash. In this study, fault detection approaches based on raw vibration and acoustic parameters were introduced. Motor failure and loose screws are simulated to represent electrical and mechanical faults. Based on the raw data obtained from the MEMS sensors, motor failure can be successfully detected by both approaches. The mechanical fault is difficult to be detected by the raw data of both approaches as the amplitude values recorded are close to the normal drone condition. These approaches are suitable to be applied in detecting motor failure compared to mechanical faults.
Nuradlin Borhan, Izzati Saleh, Azan Yunus, Wan Rahiman, Dony Novaliendry, and Risfendra
IEEE
Indoor localization is important for robot navigation because it allows for robots to accurately determine their location and movement within a space. This is especially important for robots that are used in confined areas, like warehouses or homes, where there is not as much open space to navigate. Indoor localization gives robots the ability to plan their paths strategically and navigate around obstacles in a timely and efficient manner. Therefore, it is crucial for the indoor positioning system (IPS) to be stable and accurate. In this paper, we presented a fusion of non-complex filtering algorithms which combines Kalman filter with Moving Average (MA) filter in order to reduce localization error using Ultra-Wideband (UWB). The performance of the technique was measured against the conventional method of Kalman filtering, and it was found that the average error was reduced even more by the proposed strategy compared to the standard Kalman filtering approach.
Izzati Saleh, Nuradlin Borhan, Azan Yunus, Wan Rahiman, Dony Novaliendry, and Risfendra
IEEE
This paper presents a real-time simulation of a frontier exploration robot using a nonholonomic mobile robot’s kinematic model. In MATLAB, three heuristic-based frontier selection methods, namely Randomized Histogram Sector (RHS), Informed Randomized Point (IRP), and Histogram Clustering (HC), were simulated within two constrained space maps, one of which (Map 1) contained more obstacles than the other (Map 2). For the suggested frontier detection, the percentage of successfully mapped area against the ground truth map was determined to be 97.5% for Map 1 and 98.3% for Map 2. These results indicate that the proposed method yields great results. The HC approach is the most effective of the three proposed methods for both maps in terms of the time required to explore the maps and the efficiency of navigation inside the maps.
Fegie Y. Wattimena, Abilliyo S. Mampioper, Reni Koibur, I. Nyoman G. A. Astawa, Dony Novaliendry, Noper Ardi, and Nenny Mahyuddin
International Association of Online Engineering (IAOE)
The superfamily Papilionoidea day butterfly, which is endemic to the Cenderawasih Bay islands (Numfor, Supiori, Biak and Yapen), consists of 6 family species: the Papilionidae, Hesperiidae, Pieridae, Riodinidae, Lycaenidae and Nymphalidae families. This study aims to analyze the grouping of endemic butterflies of the Bay of Cendrawasih based on wings and colours in 4 Clusters, namely Numfor, Supiori, Biak and Yapen Islands, by applying the function of the K-Means Clustering algorithm data mining method. The grouping selection was carried out 7 times with the conclusion that Numfor had 13 types of Endemic Butterfly species, Biak had 7 Papuan Endemic Butterfly Species, Supiori had 9 Endemic Butterfly Species, and Yapen had 11 Endemic Butterfly Species. The analysis results were then retested in an application built using the Waterfall system development method and the PHP and MySQL programming languages. In addition to applying the K-Means Clustering algorithm for grouping endemic butterflies, the application created produces a butterfly distribution map that displays butterfly information based on family.
Dony Novaliendry, Oktoria, Cheng-Hong Yang, Yenny Desnelita, Irwan, Roni Sanjaya, Gustientiedina, Yaslinda Lizar, and Noper Ardi
International Association of Online Engineering (IAOE)
Hemodialysis is a procedure for cleaning the blood from the waste products of the body’s metabolism. this is one of modality to treat end stage kidney disease. There are two main classifications of this disease, namely acute kidney failure and chronic kidney failure. Kidney failure occurs when kidney damage is severe enough or lasts a long time so that the disease is generally the final stage of kidney disease. Dialysis is performed on patients with kidney failure, both acute kidney failure and chronic kidney failure. This study is aimed to predict the mortality risk of hemodialysis patients. The Taiwanese hemodialysis center enrolled a total of 665 hemodialysis patients. The prediction is based on Logistic Regression. Compared with K-Nearest Neighbor, linear discriminant, Tree, and ensemble, Logistic Regression performed better. As for related medical variables like parathyroid surgery, urea reduction ratio, etc., they play a much smaller role in mortality risk factors than diabetes and cardiovascular disease.
Dony Novaliendry, Asrul Huda, LatifahAnnisa, Resti Rahmi Khairati Costa, Yudhistira, and Fivia Eliza
International Association of Online Engineering (IAOE)
This research and development are motivated by the problem of limited learning resources on Computers and Basic Networks in SMK Negeri 2. This happens because no learning media attracts students' interest in learning. Therefore, the writer tries to design interesting learning media for students. This study aims to determine the validity, practicality and effectiveness of the design and manufacture of mobile learning media based on mobile web subjects for computer and basic networking subjects for class X TKJ SMK Negeri 2 Padang. This research uses the research & development method. The research subjects were 35 people. The research model used is the development research model (ADDIE model), with the development steps as follows. (1) Analyze, (2) design, (3) development, (4) Implementation, and (5) Evaluate. The results of the overall effectiveness test assessment of the effectiveness of Mobile Web-Based Mobile Learning on Computers and Basic Networks (KJD) Class X SMK Negeri 2 Padang Odd Semesters of 93.57% so that the level of effectiveness can be interpreted very effectively used. In conclusion, based on the assessment and expert input and the results of the field trial of Mobile Web-Based Mobile Learning Media as a learning medium, it has been tested for feasibility and excellence. It can be used in the learning process on KJD subjects for class X TKJ SMK N 2 Padang.
Dony Novaliendry, Ahyanuardi, Irma Yulia Basri, Noper Ardi, Nathasyah Utami Hakim, Muhammad Fadilh Putra Pratama, and Nenny Mahyudin
International Association of Online Engineering (IAOE)
Indonesia’s Vision 2045 is an essential basis to determine the direction of the country’s development in line with four main pillars which include the development of human resources (HR). This involves producing quality, healthy, intelligent, adaptive, innovative, and skilled human resources with character. The achievement of this goal requires the improvement of the competence and professional certification quality towards ensuring HR are reliable and competent in different fields such as the vocational area which involves Informatics Engineering (IT). Therefore, this research was conducted based on the gap observed in HR which is indicated by a lower proportion of Indonesian workers in the IT field compared to other ASEAN countries. It was also observed that the assessment process and results of the Junior Mobile programmer scheme by the Professional Certification Institute (LSP) for Digital Technology have not been optimally tested. This is indicated by the fact that the assessment activities are being conducted without the full implementation of a centralized and systematic technology-based system, thereby causing problems in the remote assessment process. Moreover, professional associations, academia, and industry were not involved in designing a tested and reliable assessment model. I this research was conducted from March 2022 to December 2023 with the trial subjects from the Digital Talent Scholarship (DTS) training program, Vocational School Graduate Academy (VSGA) of the Ministry of Communications and Informatics. There were 40 sessions which consist of 20 for the experimental class and 20 for the control class. Furthermore, the data collection instruments included questionnaires, documentation, interview guides, observations, and competency tests while descriptive and quantitative analyses were conducted through the I'ken V and factor analysis tests using the LISREL and SPSS applications.
Nala Mawaddani, Ekris Sutiyanti, Muhammad Hermawan Widyananda, Viol Dhea Kharisma, Dora Dayu Rahma Turista, Muhammad Badrut Tamam, Vikash Jakhmola, Syamsurizal Syamsurizal S, Bayu Ramadhani Fajri, Muhammad Raffi Ghifari,et al.
EManuscript Technologies
al. In Silico Study of Entry Inhibitor from Moringa oleifera Bioactive Compounds against SARS-CoV-2 Infection. Pharmacogn 2022;12(5): 565-574. ABSTRACT The aim of this study is to screen the content of bioactive compounds of Moringa oleifera and to identify its potential as an antiviral against COVID 19 through an entry inhibitor mechanism using bioinformatics tools. The sample was obtained from PubChem database. Amino acis sequences were obtained from the NCBI. Protein modeling is made through the SWISSMODEL site. The target proteins for this study were SARS-CoV-2 M pro and RdRp. The protein-inhibitory interaction of the drug from M. oleifera bioactive compounds to SARS-CoV-2 was predicted by molecular docking with PyRx software. The result shows that M. oleifera was a potential antiviral candidate for SARS-CoV-2 with an entry inhibitor mechanism through a compound, especially quercetin. The RFMS value of both interactions between M pro and quercetion and RdRp with quercetin were not higher than 1.05. This result still needed further research to prove this prediction.
O. Candra
North American Business Press
Educators employ technology in the twenty-first century to build knowledge and soft skills to enhance competencies that fit with the demands of the workplace. With the advent of new technologies in education, instructors' perspectives on the learning process have shifted. We employ a research-based method to assist students in learning to program. Analysing an online collaboration environment enables the use of several solutions. In a group, collaboration does not occur spontaneously. This project aims to build student understanding of the COVID-19 pandemic both during and after it occurs. The findings indicated that in an online and offline collaboration setting, student learning success, particularly in computer programming abilities, rose compared to traditional collaborative classrooms. Additionally, students who studied using the suggested strategy improved their cognitive, emotional, and psychomotor learning outcomes.
Nur Sofiatul Aini, Viol Dhea Kharisma, Muhammad Hermawan Widyananda, Ahmad Affan Ali Murtadlo, Rasyadan Taufiq Probojati, Dora Dayu Rahma Turista, Muhammad Badrut Tamam, Vikash Jakhmola, Dony Novaliendry, Riso Sari Mandeli,et al.
EManuscript Technologies
from Purslane ( Portulaca oleracea L.) and Star Anise ( Illicium verum Hook) as SARS-CoV-2 Antiviral Agent via Dual Inhibitor Mechanism: In Silico Approach. 352-357. ABSTRACT Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes the COVID-19 pandemic that infects humans and attacks the body's immune system. The purpose of the study was to identify the potential of bioactive compounds in purslane ( Portulaca oleracea L.) and star anise ( Illicium verum Hook) via a dual inhibitor mechanism against SARS-CoV-2 proteases with an in silico approach. The samples were obtained from PubChem and RSCB PDB. Antivirus probability prediction was performed on PASS Online. Virtual screening was performed with PyRx via molecular docking. Visualization was used by PyMol and Discovery Studio. Compounds with the best antiviral potential are indicated by the low binding affinity value to the target proteins, namely SARS-CoV-2 TMPRSS2 and PLpro. The results showed that purslane luteolin has the best antiviral potential. However, further studies are required to validate this computational Cite this article: Aini NS, Kharisma VD, Widyananda MH, Murtadlo AAA, Probojati RT, Turista DDR, et al. Bioactive Compounds from Purslane ( Portulaca oleracea L.) and Star Anise ( Illicium verum Hook) as SARS-CoV-2 Antiviral Agent via Dual Inhibitor Mechanism: In Silico Approach. Pharmacogn J. 2022;14(4): 352-357.