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Showing 29 articles found for "Generated"

DESIGN AND PERFORMANCE EVALUATION OF A HIGH-VOLTAGE DC GENERATOR USING A COCKCROFT-WALTON MULTIPLIER

Turahyo, Turahyo, Noviarianto, Noviarianto
Abstract: This paper presents the design and performance evaluation of a high-voltage direct current (DC) generator based on the Cockcroft–Walton (CW) voltage multiplier for laboratory-scale applications in electrical engineering.… g. Conventional high-voltage generation methods often involve bulky transformers and complex circuitry, making them less suitable for compact and cost-effective laboratory use. To address these limitations, a modular CW-based system is proposed, integrating a high-frequency input source with an optimized diode-capacitor ladder network. The proposed system is designed to achieve high DC voltage output in the kilovolt range while maintaining acceptable levels of ripple and efficiency. Experimental results show that the system can achieve up to 86% of the theoretical output voltage under no-load conditions, with an efficiency of around 70.8%. Furthermore, the ripple voltage of the generated output voltage is very small, demonstrating stable performance suitable for laboratory applications. The proposed design offers a compact, cost-effective, and reliable solution for high-voltage DC generation, making it highly suitable for educational and low-power applications.

BIBLIOMETRIC ANALYSIS OF RESEARCH TRENDS IN ORGANIZATIONAL CHANGE MANAGEMENT

Nugraha, Evans Afriant, Dwianto, Agung Surya
Abstract: This study presents a systematic mapping of Change Management and Organizational Change research using bibliometric analysis. The specific objectives are to identify research development trends in this field and to visualize… lize the keyword network for the period 2016–2025 using VOSviewer. Data were collected from Google Scholar via the Publish or Perish (PoP) software, with Mendeley utilized for reference management. The findings indicate that studies on organizational change management between 2016 and 2025 remain predominantly focused on internal organizational aspects, specifically structural transformation, leadership, intervention strategies, and employee resistance. The bibliometric visualization generated five main clusters centered on the core keyword "change management," which showed extensive connections to related terms such as reorganization, leadership, and employee.

UTILIZATION OF ARTIFICIAL INTELLIGENCE (AI) AS A SOURCE OF TEACHING MATERIALS FOR TEACHERS: ANALYSIS OF POTENTIAL, CHALLENGES, AND CONTENT ACCURACY

Qodri, Rifki, Setiawan, Daniel Duta, Putra, Ardiansyah, Nababan, Parningotan
Abstract: The development of Artificial Intelligence (AI) technology is currently progressing very rapidly and has had a major influence on various sectors, including the education sector, offering great potential in compiling engaging… aging and relevant teaching materials. However, teachers still face challenges related to limitations in time, energy, technological understanding, and the accuracy of AI-generated content. Findings from the analysis show that AI has a significant capability to support teachers in designing learning materials relevant to student needs, as well as testing the accuracy of AI-generated content related to the learning material. Using a non-participant observation method, data was collected through social media, unstructured interviews with lecturers, teachers, and the general public, as well as testing the content of AI platforms such as ChatGPT, Gemini, and Meta AI. This research uses a descriptive qualitative approach to analyze the data. The study's findings reveal that artificial intelligence has a significant capacity to support educators in designing learning materials, while also optimizing time productivity and teaching innovation. However, the accuracy of AI content, although quite high for basic concepts, often does not include specific sources or references, thus requiring manual verification by teachers. The main challenges include a lack of training and technological understanding. It is recommended that teachers undergo AI training and always verify AI content with trusted sources.

THE LEGAL POLITICS OF THE FORMATION OF JOB CREATION LAW WITHIN THE FRAMEWORK OF RESPONSIVE LAWS

Febriana, Lega Rahayu, Setiadi , Wicipto, Ahsin Thohari, Ahmad
Abstract: The introduction of the omnibus methodology to Indonesian lawmaking through the Job Creation Law has generated intense scholarly debate over the balance between regulatory efficiency and democratic legitimacy. Drawing on… Nonet and Selznick’s responsive law theory, this study examines the legal politics underpinning the formation of Law No. 11 of 2020, PERPPU No. 2 of 2022, and Law No. 6 of 2023 within Indonesia’s civil‐law framework. Using normative legal research methods including statutory interpretation, constitutional doctrinal analysis, and comparative legal study this article traces the procedural trajectory from initial draft to successive judicial reviews (Decision Nos. 91/PUU-XVIII/2020 and 168/PUU-XXI/2023). The findings reveal systemic procedural deficiencies: exclusion of affected stakeholders, lack of meaningful public participation, and executive reliance on emergency powers instead of mandated legislative revision. The Constitutional Court’s interventions have served as corrective “strange attractors,” introducing “meaningful participation” requirements (right to be heard, right to be considered, and right to explanation) and compelling the government to adopt legislative reforms. However, persistent executive resistance underscores enduring tensions between efficiency‐oriented omnibus reforms and procedural legitimacy. The study concludes that forthcoming legislative efforts particularly the mandated separate Employment Law will determine whether Indonesia’s legal system advances toward genuinely responsive law or reverts to repressive practices. These insights hold broader significance for comparative constitutionalism and the global discourse on omnibus legislation in developing democracies.

Sekolah sebagai Ruang Pembentukan Karakter dan Kesadaran Sosial

Beni Chandra Purba
Abstract: Schools are positioned as strategic social spaces that play a crucial role in shaping students’ character and social awareness amid the growing complexity of educational challenges in the era of globalization, digitalization,… zation, and shifting social values. An educational orientation that continues to prioritize academic achievement has generated serious issues, including the weakening of character, low levels of empathy, and declining social concern among students. The research problem addressed in this study concerns how schools can fulfill their function not only as institutions for knowledge transmission, but also as spaces for the sustainable formation of values, attitudes, and social responsibility. This study aims to analyze the role of schools as arenas for character formation and social awareness, as well as to identify relevant educational approaches for internalizing moral, ethical, and social values. A qualitative approach was employed through a literature review with descriptive analysis of scholarly publications, educational policies, and character education practices. The findings indicate that schools function effectively as educational social environments when character values are systematically integrated through the curriculum, pedagogical interactions, school culture, extracurricular activities, and teacher role modeling. Character formation and social awareness become more meaningful when implemented holistically, contextually, and consistently. The conclusion emphasizes that schools bear moral and social responsibility to create a humanistic, participatory educational ecosystem oriented toward the development of students’ holistic personality. The novelty of this scholarly work lies in its conceptual affirmation of the school as a transformative social space that unifies academic dimensions, character development, and social awareness into an inseparable pedagogical whole.

Hubungan Dukungan Suami dengan Keputusan Penggunaan Kontrasepsi Suntik 3 Bulan di TPMB Ny. Sofi Rufiah

Siska Panggabean, Tri Iriyani, Bagus Supriyadi
Abstract: Population growth that continues to increase has generated various social and health problems due to the imbalance between population size and the quality of human resources. This condition encourages the government to strengthen&#8230; trengthen the implementation of the Family Planning Program as a strategic effort to control fertility among couples of reproductive age. The success of this program is influenced not only by access to health services but also by family support, particularly the husband’s support in decisions related to contraceptive use. This study aimed to analyze the relationship between husband’s support and the decision to use three-month injectable contraception among family planning acceptors. The research applied a quantitative approach with a correlational design and a cross-sectional research type. The population consisted of all family planning acceptors at TPMB Ny. Sofi Rufiah totaling 109 individuals, while the sample included 86 respondents selected through a random sampling technique. Data were collected using a structured questionnaire and analyzed statistically using the Chi-Square test through SPSS software. The results showed that the majority of respondents received support from their husbands, totaling 60 individuals (69.8%), while the use of three-month injectable contraception was reported by 49 respondents (57%). Statistical analysis indicated a significant relationship between husband’s support and the decision to use three-month injectable contraception with a significance value of p < 0.05, meaning the research hypothesis was accepted. These findings confirm that husband’s support is an important factor influencing women’s decisions in selecting contraceptive methods. The novelty of this study lies in emphasizing the role of husband’s support as a social determinant contributing to the successful use of three-month injectable contraception at the level of independent midwifery practice services. The results are expected to provide a foundation for strengthening family-based family planning education strategies.

Penerapan Metode Algoritma C4.5 untuk Menentukan Kualitas Telur Ayam Australia Terbaik

Sari Hutagaol, Yulia Purnama, Helmiah, Fauriatun, Sumantri, Sumantri
Abstract: Abstract: Australia chicken eggs are one of the animal foods that are consumed in addition to meat, fish and milk. Australian chicken eggs contain high nutrition, sustainable availability, and relatively higher prices compared&#8230; mpared to other eggs, making Australian chicken eggs in great demand by consumers. However, Australian chicken eggs are easily damaged and decreased in quality due to the entry of bacteria into the eggs. CV. Bintang Ternak selection of quality eggs is still done manually by employees, so there is a need for a new method in determining quality eggs. cv. Bintang Ternak has a sample of 90 Australian chicken eggs. The sample used is Australian chicken egg shell, in determining the quality of Australian chicken eggs can be seen from the condition of the egg shells. Planning in solving these problems will use the C4.5 algorithm method. With the application of the C4.5 algorithm method contained in the rapidminer5 application, there are several advantages to be gained, namely in making a simpler decision, shortening employee work, more flexibility in selecting class attributes, accuracy in predicting more effectively and efficiently and easy to understand with there are conclusions generated by the rapidminer5 application that can be seen from the decision tree or rules obtained using 90 samples of test data resulting in an accuracy of 90%.   Keywords: Rapid Miner5;Algorithm C4.5;Determining the Best Quality of Australian Chicken Eggs.   Abstract: Telur Ayam Autralia merupakan salah satu bahan makanan hewani yang dikonsumsi selain daging, ikan dan susu. Telur ayam australia mengandung gizi yang tinggi, ketersediaan yang berkelanjutan, dan harga yang relatif lebih dibandingkan dengan telur lainnya sehingga menjadikan telur ayam australia sangat diminati oleh para konsumen. Namun, telur ayam australia mudah mengalami kerusakan dan penurunan kualitas akibat masuknya bakteri kedalam telur. CV. Bintang Ternak pemilihan telur yang berkualitas masih dilakukan secara manual oleh karyawan, sehigga perlu adanya metode terbaru dalam penentuan telur yang berkualitas. Cv. Bintang Ternak memiliki sampel telur ayam australia 90 butir. Sampel yang digunakan yaitu kulit telur ayam australia, dalam menentukan kualitas telur ayam australia dapat dilihat dari kondisi kulit telurnya. Perencanaan dalam penyelesaian permasalahan tersebut akan menggunakan metode algoritma C4.5. Dengan adanya penerapan metode algoritma C4.5 yang terdapat pada aplikasi rapidminer5 maka ada beberapa keuntungan yang didapat diperoleh yaitu dalam mengambil suatu keputusan lebih sederhana, mempersingkat pekerja karyawan, lebih fleksibel dalam pemilihan atribut kelas, keakuratan dalam memprediksi lebih efektif dan efisien dan mudah dipahami dengan adanya kesimpulan yang dihasilkan oleh aplikasi rapidminer5 yang dapat dilihat dari pohon keputusan atau rule yang diperoleh dengan menggunakan 90 sampel data uji memghasilkan akurasi sebesar 90%.   Kata kunci:RapidMiner5;Algoritma C4.5;Menentukan Kualitas Telur Ayam Australia Terbaik.  

Pengelolaan Keuangan Berdasarkan SAK UMKM Bagi Pelaku UMKM di Kabupaten Asahan

Rohminatin, Rohminatin, Saputra, Endra, Putri, Pristiyanilicia
Abstract: UMKM is a productive business owned by a person or business entity that meets the criteria as a micro business, small business and medium business.which is the basis for determining the type of business seen from the average&#8230; rage business income in a year and based on the net worth of the business. In running a business, finance is the most important thing for entrepreneurs, but there are still many UMKM that do not understand business financial management. Lack of understanding in managing financial management results in problems of uncontrolled capital used and income generated. Often personal finances are mixed up with business finances, of course this will be fatal if the entrepreneur cannot know how much money has been spent and used and how much profit is actually obtained from these business activities. PkM activities are carried out using the Community Education Method, namely carrying out percentage activities on how to manage good financial management. From these activities Partners can understand how to manage business finances in accordance with financial accounting standards, especially SAK EMKM standards. Keywords: finance; management; umkm Abstrak:UMKM merupakan usaha produktif yang dimiliki seseorang atau badan usaha yang memenuhi kriteria sebagai usaha mikro, usaha kecil dan usaha menengah. Yang menjadi dasar penentuan jenis usaha dilihat dari rata-rata pendapatan usaha tersebut dalam setahun serta berdasarkan kekayaan bersih usaha tersebut. Dalam menjalankan usaha keuangan merupakan hal terpenting bagi pengusaha, namun masih banyak UMKM belum memahami pengelolaan keuangan usaha. Kurang fahamnya dalam pengelolaan manajemen keuangan mengakibatkan permasalahan tidak terkontrolnya modal yang digunakan serta pendapatan yang dihasilkan. Sering kali keuangan pribadi bercampurbaur dengan keuangan usaha, tentu hal ini akan menjadi fatal apabila pengusaha tidak dapat mengetahui berapabesar dana yang sudah dikeluarkan dan yang digunakan serta berapa besar sebenarnya keuntungan yang diperoleh dari  kegiatan usaha tersebut. Kegiatan PkM dilakukan dengan Metode Pendidikan Masyarakat yaitu melakukan kegiatan persentase  tentang bagaimana mengelola manajemen keuangan yang baik. Dari kegiatantersebut Mitra dapat memahami bagaiman mengelola keuangan usaha yang sesuai dengan standar akuntansi keuangan terkhusus standar SAK EMKM (Standar Akuntasi Keuangan dan  Entitas Mikro, Kecil, dan Menengah). Kata kunci: keuangan; pengelolan; umkm

SENTIMENT ANALYSIS USING MACHINE LEARNING FOR DIGITAL SERVICE DEVELOPMENT

Balqis, Rugaiyah, Jahda Rusti Putri, Mira Afrina, Ibrahim, Ali, Fathoni, Fathoni
Abstract: Abstract: The rapid growth of e-commerce mobile applications has generated large volumes of user reviews, making manual sentiment analysis increasingly impractical. This study aims to compare the effectiveness of three machine&#8230; achine learning algorithms Support Vector Machine (SVM), Random Forest, and Naive Bayes for automated sentiment classification of Indonesian-language mobile application reviews. A dataset of 3,000 user reviews from the RupaRupa application on the Google Play Store was collected and preprocessed through normalization, tokenization, stopword removal, and stemming. TF-IDF vectorization was applied for feature extraction, while the Synthetic Minority Over-sampling Technique (SMOTE) was used to address class imbalance across three sentiment categories: positive, negative, and neutral. The results show that SVM achieved the highest accuracy of 90.02%, while Random Forest obtained the best F1-score of 88.08% when sufficient training data were available. Naive Bayes demonstrated relatively stable performance across varying training data sizes. Furthermore, TF-IDF keyword analysis revealed that negative reviews were primarily associated with delivery issues, technical problems, and pricing concerns. These findings demonstrate the effectiveness of machine learning approaches for sentiment classification and provide practical insights for improving mobile application services.   Keywords: sentiment analysis; machine learning; SMOTE; TF-IDF; text classification   Abstrak: Pertumbuhan pesat aplikasi mobile e-commerce telah menghasilkan volume ulasan pengguna yang sangat besar, sehingga analisis sentimen secara manual menjadi semakin tidak praktis. Penelitian ini bertujuan untuk membandingkan efektivitas tiga algoritma machine learning Support Vector Machine (SVM), Random Forest, dan Naive Bayes dalam melakukan klasifikasi sentimen otomatis terhadap ulasan aplikasi mobile berbahasa Indonesia. Dataset yang digunakan terdiri dari 3.000 ulasan pengguna aplikasi RupaRupa yang dikumpulkan dari Google Play Store. Data kemudian diproses melalui tahapan preprocessing yang meliputi normalisasi, tokenisasi, penghapusan stopword, dan stemming. Ekstraksi fitur dilakukan menggunakan metode Term Frequency–Inverse Document Frequency (TF-IDF), sedangkan ketidakseimbangan kelas ditangani menggunakan Synthetic Minority Over-sampling Technique (SMOTE) pada tiga kategori sentimen, yaitu positif, negatif, dan netral. Hasil penelitian menunjukkan bahwa SVM mencapai tingkat akurasi tertinggi sebesar 90,02%, sementara Random Forest memperoleh nilai F1-score terbaik sebesar 88,08% ketika tersedia data pelatihan yang memadai. Naive Bayes menunjukkan performa yang relatif stabil pada berbagai ukuran data pelatihan. Selain itu, analisis kata kunci berbasis TF-IDF mengungkapkan bahwa ulasan negatif terutama berkaitan dengan masalah pengiriman, kendala teknis aplikasi, dan isu harga. Temuan ini menunjukkan bahwa pendekatan machine learning efektif untuk klasifikasi sentimen serta memberikan wawasan yang bermanfaat dalam meningkatkan kualitas layanan aplikasi mobile.   Kata Kunci: analisis sentimen; pembelajaran mesin; SMOTE; TF-IDF; klasifikasi teks.  

MEASURING THE QUALITY OF DISTRICT GOVERNMENT WEBSITES ONLY USING THE MCCALL AND EUCS METHOD (END USER COMPUTING SATISFACTION)

Riswanto, Ando, Sari, Renny Puspita, Mutiah, Nurul
Abstract: Abstract: Technological developments are currently increasing rapidly, especially in the innovation of information data management. With so many media providing informationand services online, as well as the services provided&#8230; vided by the Government of Sekadau Regency in the form of Webstie sekadaukab.go.id. Based on the survey results, the problems experienced by users are output and performance from sekadaukab.go.id still does not meet user expectations. Study this aims to measure the quality of information systems sekadaukab.go.id and also measure the level of user satisfaction with sekadaukab.go.id. By using the method McCall and EUCS (End User Computing Satisfaction) and using methods IPA (Importance Performance Analysis) to map variables into the level of importance and level of performance, the variables used are the variables in the method EUCS (End User Computing Satisfaction). Questionnaires were distributed to 100 users sekadaukab.go.id. The average quality generated by the method McCall of 43.6%, included in the pretty good category. For the results of measuring user satisfaction methods EUCS (End User Computing Satisfaction), each variable is included in the doubtful category range value 2.60 – 3.39. There are 18 recommendations for improvement based on the method McCall and the IPA method to the Kominfo Sekadau Regency against sekadaukab.go.id. Keywords: EUCS; IPA; McCall; public service; quality system     Abstrak:Perkembangan teknologi saat ini semakin pesat, khususnya pada inovasi pengelolaan data informasi. Dengan banyaknya media menyediakan informasi dan pelayanan secara online, begitu juga dengan pelayanan yang disediakan oleh Pemerintah Kabupaten Sekadau berupa Webstie sekadaukab.go.id. Berdasarkan hasil survey, permasalahan yang dialami oleh pengguna yaitu output dan kinerja dari sekadaukab.go.id masih belum memenuhi harapan pengguna. Penelitian ini bertujuan untuk mengukur kualitas dari sistem informasi sekadaukab.go.id dan juga mengukur tingkat kepuasan pengguna terhadap sekadaukab.go.id. Dengan menggunakan metode McCall dan EUCS (End User Computing Satisfaction) serta menggunakan metode IPA (Importance Performance Analysis) untuk memetakan variabel kedalam tingkat kepentingan dan tingkat kinerja, variabel yang digunakan yaitu variabel pada metode EUCS (End User Computing Satisfaction). Kuesioner dibagikan kepada 100 orang pengguna sekadaukab.go.id. Rata- rata kualitas yang dihasilkan berdasarkan metode McCall sebesar 43,6%, masuk kedalam kategori cukup baik. Untuk hasil pengukuran kepuasan pengguna metode EUCS (End User Computing Satisfaction), masing-masing variabel masuk kedalam kategori ragu- ragu dengan range nilai 2.60 – 3.39. Terdapat 18 rekomendasi perbaikan berdasarkan pada metode McCall dan metode IPA kepada pihak Kominfo Kabupaten Sekadau terhadap sekadaukab.go.id.   Kata kunci: EUCS; IPA; kualitas sistem; MCCALL; pelayanan publik