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Climate change and environment issues in cyber media construction in Indonesia Muslikhin, Muslikhin; Prawira, Indra
Jurnal Kajian Komunikasi Vol 11, No 2 (2023): December 2023
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jkk.v11i2.46915

Abstract

Background: The issue of climate change and the environment has not become the primary focus of the media in Indonesia, but it is frequently featured in the news. This occurs because the media fulfils its function as a provider of information. Purpose: This study seeks to explain how cyber media constructs climate change and environmental issues in the news. Methods: Research with a qualitative approach and qualitative descriptive methods, with critical discourse analysis as the data analysis technique. The websites Kompas.com, Okezone.com, and Suara.com are the subject of study. Results: According to the study, climate is the word that appears the most frequently in the text of the three media. Change is the term that appears most frequently on Kompas.com and Suara.com. Indonesia is the most popular search term on Okezone.com. At the level of production, cyber media lacks an agenda-setting team, a dedicated channel, or a specialized team devoted to the environment and climate change. At the social level, they only generate news related to the environment and climate change if it has gone viral and is trending on social media. Conclusion: The research concludes that there are both distinctions and similarities among the three cyber media in terms of the words that appear most frequently in news articles about environmental issues and climate change. They lack agenda-setting, a dedicated channel, and a specialized team. They are oblivious to environmental issues and climate change. Implications: The research has implications for agenda setting from theoretical implications. The media does not set an agenda and only follows the viral, trending, and important public issues. The implication is that cyber media gives viral issues a news value.
Isu Etika dalam Sistem Manajemen Pembiayaan Pendidikan di Sekolah Dasar: Pertimbangan dan Solusi: Ethical Issues in the Educational Financing Management System in Elementary Schools: Considerations and Solutions Muslikhin, Muslikhin; Khoeruddin, Liana Ariesha
Epistemic: Jurnal Ilmiah Pendidikan Vol. 2 No. 2 (2023): Mei 2023
Publisher : Perkumpulan Peneliti dan Pegiat Literasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70287/epistemic.v2i2.222

Abstract

This study delves into ethical concerns within educational financing management systems, emphasizing considerations and solutions. Ethical management of education funds is deemed crucial for transparent, accountable, and morally sound fund utilization. The investigation incorporates an analysis of pertinent domestic journal articles and books, identifying ethical issues related to fund allocation, transparency, accountability, conflicts of interest, and social responsibility in education financing. Cases, research, and expert perspectives, contextualized within Indonesia, are presented for each issue. Furthermore, the study proposes solutions applicable to educational institutions like schools, universities, and governments to enhance ethical practices in fund management. Recommendations include heightened transparency, integration of ethics education into curricula, staff and teacher training, development of codes of ethics, parental involvement, partnerships with relevant organizations, and continuous monitoring of ethical practices. The research outcomes offer valuable insights into the significance of ethics in education funding management, delineating various measures to fortify ethical practices in the educational realm. Practical implications and recommendations for on going enhancement in education funding management are also discussed.
Performance Analysis of EMG Signal Classification Methods for Hand Gesture Recognition in Stroke Rehabilitation Winursito, Anggun; Arifin, Fatchul; Muslikhin, Muslikhin; Artanto, Herjuna; Caryn, Femilia Hardina
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 8 No. 2 (2023): November 2023
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/elinvo.v8i2.76811

Abstract

This study evaluates the performance of different classification methods in classifying healthy individuals and stroke patients. The hand gesture variations of the subjects were also analyzed based on electromyography (EMG) signals. Several classification methods were tested in this analysis to find out which method had the most suitable performance. The results showed that Decision Tree and Naive Bayes classifiers achieved the highest performance in classifying EMG signals from healthy individuals and stroke patients, with both methods showing high accuracy, precision, recall, and F1 score. Specifically, Decision Tree excelled in overall accuracy and recall, while Naive Bayes showed superior precision. For hand gesture recognition, SVM, KNN, and Random Forest classifiers showed similarly high performance, achieving accuracy, precision, recall, and F1 score above 82%. Naive Bayes also performed well, especially in precision, while Decision Tree performed poorly compared to other methods. This insight can form the basis for the development of more effective and personalized rehabilitation systems for stroke patients, by utilizing reliable and accurate EMG signal classification
Effectiveness of the stad reading aloud model to improve narrative text literacy Muslikhin, Muslikhin; Raharjo, Tri Joko; Purwati, Panca Dewi; Pratama, Galih Cahya
Jurnal Ilmiah Pendidikan Dasar Vol 12, No 1 (2025): Jurnal Ilmiah Pendidikan Dasar
Publisher : Prodi PGSD FKIP Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30659/pendas.12.1.106-116

Abstract

This study was conducted to provide an overview and description of improving narrative text literacy by using the reading aloud method as one way to improve and strengthen students' narrative text literacy skills in the AKM class. The approach taken in this writing is to use a quantitative approach, namely by obtaining pre-test and post-test data processed using SPSS data, namely the Paired Sample T-Test. The results of this study indicate that a reading culture by reading aloud can have an influence on improving students' narrative text literacy at Ketanggungan 07 Brebes Elementary School. Students' enthusiasm in understanding narrative texts with this method is quite good. This is evidenced by an increase in the AKM class from data processing, the data obtained is p <0.05, H0 is rejected which indicates that there is a significant increase.
Future of Radio Broadcasting and Audience Behavior in Streaming and Apps Muslikhin, Muslikhin
Jurnal Pustaka Komunikasi Vol 8, No 1 (2025): Accredited by Kemendikbud Dikti SK No. 79/E/KPT/2023
Publisher : Universitas Prof. Dr. Moestopo (Beragama)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32509/pustakom.v8i1.5162

Abstract

This descriptive research aims to understand listener behavior in consuming live streaming and radio broadcast applications in Indonesia to support the sustainability of radio broadcasting businesses.  The study employs a quantitative method with data collection techniques through a survey distributed via Google Forms.  The survey was conducted from August 1, 2024, to October 17, 2024.  The population of this study consists of individuals who actively access radio through digital platforms, either through live streaming or mobile radio broadcast applications.  The sampling technique used is convenience sampling, with inclusion criteria: aged at least 16 years, having internet access, and having listened to digital radio in the last six months.  The number of respondents was 223 individuals, determined based on the Lemeshow formula with a confidence level of 95% and a margin of error of 0.066.  Data were analyzed using descriptive statistics.  The research results show that the majority of streaming radio listeners are Generation Z (54.5%) and millennials (25%), with a female majority (60.3%).  50.2% of listeners access digital radio through mobile applications while traveling.  The reason the audience consumes streaming radio is due to better quality (43.8%), easier accessibility (60.6%), and wide reach as long as there is an internet connection (63.1%).  These findings have implications for radio station managers to enhance their digital strategies to ensure their business remains sustainable amidst changing listener behavior and increasingly fierce media industry competition.
Analisis Break-Even Point Biaya Pendidikan di Universitas untuk Meningkatkan Fasilitas dan Pembelajaran yang Kompetitif: Break-Even Point Analysis of University Education Costs to Enhance Competitive Facilities and Learning Quality Muslikhin, Muslikhin; Nugraha, Mulyawan Safwandy
Risalah Kharisma Vol 1 No 2 (2023): Desember 2023
Publisher : Sekolah Tinggi Agama Islam Kharisma Cicurug Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70757/kharismatik.v1i2.47

Abstract

Higher education institution in Indonesia faces complex challenges in the financial management of institutions. This research analyzes the Break Even Point (BEP) at Al-Ghifari University Bandung City as a strategic basis in the development of competitive facilities and learning. With a descriptive quantitative approach and referring to financial management theory, the Total Approach, Ratio Contribution Margin (RCM), and Margin of Safety (MoS) methods were used to evaluate the balance between income and costs. The results of the analysis over a five-year period showed significant growth in net income and cost management efficiency, indicating the financial resilience and operational efficiency of the university. This research also highlights the positive correlation between understanding BEP and resource allocation policies for facility investment and academic excellence programs. These findings provide an important contribution for universities in designing sustainable financial strategies and promoting quality higher education that is adaptive to competitive dynamics. With proper BEP management, Al-Ghifari University has a great opportunity to improve institutional competitiveness and the overall quality of academic services.
Implementation of Conventional Motorcycle Conversion into Electric Motorcycle Using BLDC Motor and LiFePO4 Battery Ramadhan, Miftahuddin; Putra, Dwi Sudarno; Purwanto, Wawan; Setiawan, M. Yasep; Muslikhin, Muslikhin
MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Vol 6 No 3 (2024): Motivection : Journal of Mechanical, Electrical and Industrial Engineering
Publisher : Indonesian Mechanical Electrical and Industrial Research Society (IMEIRS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46574/motivection.v6i3.339

Abstract

The high level of air pollution is partly triggered by emissions from fossil-fuel-powered vehicles. Therefore, the presence of environmentally friendly vehicles is greatly needed. On the other hand, the availability of conventional vehicles cannot be immediately eliminated. One alternative is to convert conventional vehicles into electric vehicles. This study aims to assess and implement the process of converting conventional motorcycles into electric motorcycles as a more environmentally friendly transportation solution. The main components used are several parts from conventional motorcycles, a BLDC electric motor as the main drive, an electronic control unit, and a LiFePO4 battery as the energy source. The study was conducted using the R&D method. The result of the study is the creation of a converted electric motorcycle with a 3KW BLDC hub motor and a 48V 15 Ah LiFePO4 battery, with an average range of 30 km per full battery charge and a maximum speed of 56.7 km/h. Tingginya polusi udara salah satunya dipicu oleh emisi gas buang kendaraan berbahan bakar fosil. Oleh karenanya kehadiran akan kendaraan yang ramah lingkungan sangat dibutuhkan. Di lain sisi, ketersediaan kendaraan konvensional tidak bisa langsung dihilangkan. Salasatu alternatifnya adalah melakukan konversi dari kendaraan konvensional menjadi kendaraan listrik. Penelitian ini bertujuan untuk mengkaji dan mengimplementasikan proses konversi sepeda motor konvensional menjadi sepeda motor listrik sebagai solusi transportasi yang lebih ramah lingkungan. Komponen utama yang digunakan adalah beberapa part dari sepeda motor konvensional, motor listrik BLDC sebagai penggerak utama, unit pengendali elektronik dan baterai jenis LiFePO4 sebagai sumber energi. Penelitian dilakukan dengan metode R & D. Hasil penelitian berupa terwujudnya sebuah sepeda motor listrik konversi dengan motor hub BLDC 3KW dan baterai Lifepo4 48V 15 Ah, dengan kemampuan jarak tempuh rata-rata 30 Km sekali pengisian full baterai dan kecepatan maksimum 56,7 Km/Jam.
PELATIHAN ARTIFICIAL INTELLIGENCE UNTUK DETEKSI MOTIF BATIK BAGI GURU SMKN 3 MAGELANG Himmah, Laila Nurul; Muslikhin, Muslikhin; Suharyadi , Aris
Abdi Seni Vol. 16 No. 1 (2025)
Publisher : Institut Seni Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33153/abdiseni.v16i1.6403

Abstract

ABSTRACT This community service was carried out at SMK Negeri 3 Magelang with the aim of growing teachers' interest in implementing artificial intelligence (AI) in the educational field of fashion design and multimedia. This training provides additional skills in simple programming oriented towards AI-based batik motif detection. The benefit of this activity is that teachers' perceptions of the development of AI are getting better, especially in the field of vocational education. The activity program provided is batik motif detection training using MATLAB software up to coding. This service activity program was carried out in the form of mentoring and training for 20 beneficiaries. The training was held in 2 meetings, starting with providing insight and demonstration of AI concept knowledge material and MATLAB software-based programming for batik motif detection, followed by practice by the participants. The method applied in this training activity is through lecture, demonstration and discussion methods. The results achieved in this activity were that the teacher participants at SMKN 3 Magelang gained insight and additional skills in the field of AI, especially in MATLAB software for detecting batik motifs.
AI in News Radio: Navigating Technology while Preserving Human Connection and Journalistic Values (A Case Study of Three News Radio Stations in Jakarta, Indonesia) Fadilah, Efi; Muslikhin, Muslikhin; Andayani, Fitri; Aristi, Nindi
Jurnal Sosioteknologi Vol. 24 No. 2 (2025): JULY 2025
Publisher : Fakultas Seni Rupa dan Desain ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/sostek.itbj.2025.24.2.1

Abstract

Since the public's adoption of ChatGPT in 2022, concerns have arisen about the possibility of AI will replace human roles across various industries, including radio broadcasting. While many radio professionals argue that AI will not diminish the importance of human involvement, some stations are already incorporating AI technologies. This study examines AI adoption in three news radio stations in Jakarta, focusing on its usage, guidelines, and future implementation plans. Utilizing a qualitative case study method, data were gathered through interviews with editors, observations, and literature review. The results show that initially, AI was not considered essential in news radio due to its simple production; however, its development is closely monitored. While AI improves efficiency, concerns about over-reliance on technology impacting human relationships persist. Radio managers must balance technological progress with human connections and uphold journalistic standards to maintain listener trust. Stations differ in their AI use—some utilize it for specific tasks, while others integrate it into operations and customize their content. There are no formal internal guidelines for AI in journalism, highlighting the importance of the guidelines from the Indonesian press council. AI serves in editorial processes, but the human role remains central in news judgment. The broadcaster-listener relationship remains vital; however, it is important to consider the shifting patterns of media consumption.
EVALUATION OF THE SOFT SKILLS DEVELOPMENT PROGRAM FOR EDUCATORS AND EDUCATIONAL PERSONNEL AT THE ALGHIFARI FOUNDATION Muslikhin, Muslikhin; Baihaqi, Mohammad Aqil; Haprilwanti, Nenden; Badrudin, Badrudin
PROCEEDING OF INTERNATIONAL CONFERENCE ON EDUCATION, SOCIETY AND HUMANITY Vol 2, No 2 (2024): Third International Conference on Education, Society and Humanity
Publisher : PROCEEDING OF INTERNATIONAL CONFERENCE ON EDUCATION, SOCIETY AND HUMANITY

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

Abstract

This article analyzes the impact of soft skills development on the performance of educators and educational staff at Yayasan Alghifari, using a quantitative approach through an ex post facto method and Structural Equation Modeling (SEM) based on Partial Least Squares (PLS) analysis. The study aims to evaluate the effectiveness of existing soft skills training programs and their relationship with performance aspects such as communication, collaboration, adaptability, and problem-solving. The results show that several factors have a highly significant and significant impact on other variables. Stress management has a highly significant effect on adaptability (path coefficient = 0.523, p-value = 0.000), followed by the significant effect of adaptability on leadership (path coefficient = 0.412, p-value = 0.001). Moreover, effective communication is found to significantly enhance collaboration and teamwork (path coefficient = 0.689, p-value = 0.000), which, in turn, significantly contributes to problem-solving ability (path coefficient = 0.612, p-value = 0.000). Problem-solving also has a highly significant impact on innovation and creativity (path coefficient = 0.754, p-value = 0.000). Other factors with a significant impact include listening skills on collaboration and teamwork (path coefficient = 0.321, p-value = 0.002), and professional ethics and responsibility on innovation and creativity (path coefficient = 0.467, p-value = 0.000). However, the hypothesis testing the effect of time management on problem-solving ability did not show significant results (path coefficient = 0.089, p-value = 0.145). These findings offer new insights into the importance of factors such as stress management, effective communication, and problem-solving in enhancing innovation and creativity within organizations. The strength of this article lies in its significant findings, which provide a solid foundation for improving human resource development policies in the education sector, particularly in the development of relevant and applicable soft skills for educators and educational staff