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This study aims to evaluate the effectiveness of the Artificial Intelligence-Based Learning Media Development Program (P3MP-AI) in enhancing teachers’ technological and pedagogical competencies at SMK Muhammadiyah 2 Malang. The program employed a descriptive approach using both quantitative and qualitative methods, including pre-test and post-test assessments, as well as direct observation of the training process. A total of 30 teachers from various disciplines actively participated in the program conducted on August 12, 2025. The evaluation results revealed an increase in the participants’ average scores from 100 to 130 out of a maximum of 150, indicating a significant improvement in their understanding of AI concepts and applications in education. Beyond competency enhancement, the training also fostered teachers’ confidence, creativity, and ability to integrate AI-based tools into interactive learning media. However, several challenges were identified, such as limited technological resources and time constraints in classroom implementation. Overall, this program has made a tangible contribution to strengthening teachers’ digital literacy and can serve as a replicable professional development model for other vocational schools seeking to advance AI-based educational transformation.

The weakness of the scientific tradition among Muslims and the complex problems of Islamic education have left Islamic education consistently lagging behind, theoretically unable to provide answers to the demands of liberalism and humanization. A reconstruction of the epistemological structure appropriate to the current context is necessary. This paper aims to analyze and critique Ibn Rushd's epistemology. The article is a study of the figure to look specifically at his epistemology with critical reasoning to produce findings on the research questions. The results of the study show that Ibn Rushd's epistemology is a critical synthesis of Greek philosophy and Islamic religion, which places reason and revelation as complementary paths to true knowledge and happiness in the afterlife. He critiques the thought that separates the two, especially by emphasizing the importance of scientific methods and rational reasoning, and highlights its critical aspects through criticism of Al-Ghazali and the development of the theory of the unity of the intellect which has had a significant impact on philosophical thought and education. Ibn Rushd's thinking sparked the Averroist movement in Europe, which later ushered in the Renaissance. His epistemology had positive implications for the development of Islamic education, encouraging the development of reason-based knowledge and scientific analysis. His concept of the unity of philosophy and religion, along with his emphasis on the scientific method, inspired scientists in the development of general knowledge in the modern era .

One of the skills in facing global challenges in the application of 21st century skills is critical thinking skills in solving problems with a scientific attitude (Eka et al., 2020) critical thinking skills enable them to be able to face complex situations and make wise decisions. The application of case-based learning can be a learning solution including in learning with limited meetings in class because it is oriented towards developing critical thinking skills in solving cases. This study uses a descriptive-analytical library research method, where data is collected from various library sources such as books, journals, and scientific articles. This research is a qualitative descriptive type that relies on analysis to determine, interpret, and clarify the data or information collected. This method aims to obtain an overview of the Case Method Learning Design on Halal Haram Material in the Al-Qur'an Hadith Subject of Class XII Madrasah Aliyah at Dayah Modern Ihyaaussunnah Lhokseumawe. This study successfully designed a case-based learning method as an innovative approach in teaching the Qur'an and Hadith on the topic of Halal and Haram in grade XII of Madrasah Aliyah. However, the implementation of this method also faces challenges such as the need for teacher readiness in designing and moderating cases, limited class time, and variations in students' abilities in analyzing cases

The performance of the Indonesian National Team (Timnas) in the 2026 World Cup qualifications has triggered massive and diverse responses on social media, particularly on platform X. This study aims to identify and classify public sentiment regarding Timnas Indonesia's performance into positive, negative, and neutral categories using a data mining approach. Text data was processed through pre-processing stages, term weighting using TF-IDF, and the application of the Synthetic Minority Over-sampling Technique (SMOTE) to address significant class distribution imbalance. The classification algorithm employed was Multinomial Naïve Bayes. Model performance evaluation was conducted by comparing two training-testing data split scenarios: 90:10 and 80:20 ratios. The results indicate that public opinion is dominated by negative sentiment at 73.2%, reflecting public disappointment. In terms of model performance, the 90:10 ratio scenario yielded the best accuracy of 80%, outperforming the 80:20 ratio which recorded an accuracy of 75%. These findings demonstrate that combining Multinomial Naïve Bayes with the SMOTE technique is effective in handling imbalanced text data and is capable of accurately mapping public perception.

One of the various salted egg products with smoking methods is smoked salted eggs which have a distinctive aroma and taste. This study aims to determine the effect of smoking and storage time  and its  interaction on  smoked salted  eggs  with on  physical  and  chemical  properties, total microbes as well. This research is experimental by using ducks eggs and a mixture of coconut shells and fibers, and rice husks as smoke fuel. The experimental design used is Randomized Complete Block Design (RCBD) with a 3x5 factorial pattern. As the first factor (P) is the smoking time which consists of P0= 0 hours, P1= 12 hours, P2= 15 hours while the second factor (H) is the storage time which consists of H0= 0 days, H1=7 days, H2= 14 days, H3= 21 days, and H4= 28 days. The variables observed were egg weight, albumen and yolk pH, moisture content, protein, and total microbial colony of smoked salted eggs. The results of the study were that the smoking time of 15 hours resulted in the lowest weight of smoked salted eggs (56.13g), while the storage time decreased the pH of albumen. Smoked salted duck eggs have a moisture content of 58.435-67.149%. The length of smoking increases the protein level. Salted duck eggs with a smoking time of 15 hours have the highest protein content, which is 15.39%. however, the duration of smoking and storage did not affect the total microbes of smoked salted eggs and there was no interaction between the duration of smoking and the duration of storage on the physical, chemical and total microbial properties.

Cocoa fruit is one of the crops with a long history in Indonesia. Cocoa powder and chocolate are among the export commodities processed from cocoa fruit. Currently, cocoa product exports fluctuate annually. The challenges faced in cocoa product exports are diverse. This study aims to analyze the performance of cocoa product exports in the global market. The data used in this study was obtained from UN Comtrade and the Central Statistics Agency (BPS) from 2006 to 2024. The methods used in this study include Revealed Symmetric Comparative Advantage (RSCA) and Export Competitiveness Index (ECI). The results show that the export performance of cocoa powder is relatively good, while that of chocolate is not so good. This is based on the RSCA and ECI values of cocoa powder, which are better than those of chocolate. The average RSCA value of cocoa powder is 0.62, while the average RSCA value of chocolate is -0.93. The average ECI value for cocoa powder is 0.95 and the average ECI value for chocolate is 0.97. One of the factors contributing to the good export performance of cocoa powder is that the export value of cocoa powder is higher than that of chocolate. Strict safety standards in export destination countries also pose a barrier to chocolate exports

Mutu dalam pengolahan pangan menjadi hal penting untuk menjamin produk yang aman, higienis, dan berkualitas. Suatu produk dikatakan bermutu apabila mampu memenuhi standar mutu yang telah ditetapkan oleh pihak terkait dalam hal ini adalah Standar Nasional Indonesia (SNI). Penelitian ini dilakukan untuk mengevaluasi kualitas kimia dari produk kupang krispi yang dihasilkan oleh UD. Bunda Foods, dengan menitikberatkan pada tiga parameter utama yaitu kadar air, kadar abu, dan kadar protein. Kupang krispi dipilih sebagai bahan uji karena merupakan inovasi olahan hasil laut yang memiliki nilai gizi tinggi serta daya simpan yang baik, sehingga potensial dijadikan produk camilan unggulan. Metodologi penelitian mengacu pada Standar Nasional Indonesia (SNI) 8272:2016 tentang kerupuk ikan, mengingat belum tersedia standar khusus untuk kupang krispi. Pengujian kadar air menggunakan metode gravimetri, analisis kadar abu dilakukan melalui proses pembakaran pada suhu 550°C, dan pengukuran kadar protein menggunakan metode Kjeldahl. Hasil pengujian menunjukkan bahwa kadar air berada pada rata-rata 6,75%, kadar protein mencapai 19,20%, dan kadar abu sebesar 2,5%. Jika dibandingkan dengan ketentuan dalam SNI, kadar air dan protein telah memenuhi standar mutu yang ditetapkan, namun kadar abu jauh melebihi batas maksimal yang diperbolehkan sebesar 0,2%. Kupang krispi memiliki mutu kimia yang baik dari sisi nutrisi dan ketahanan produk, namun masih diperlukan perbaikan terutama dalam mengendalikan kadar abu yang tinggi. Oleh karena itu, peningkatan sanitasi dalam proses produksi dan pemilihan bahan baku yang lebih bersih menjadi penting agar produk dapat memenuhi standar nasional secara menyeluruh dan mampu bersaing secara optimal di pasar.

Indonesia merupakan negara yang kaya akan sumber daya alam, termasuk berbagai jenis umbi-umbian yang berpotensi dimanfaatkan sebagai bahan pangan alternatif, salah satunya adalah umbi ganyong. Penelitian ini bertujuan untuk mengetahui pengaruh substitusi tepung pati ganyong terhadap rasa dan tekstur brownies, serta tingkat kesukaan konsumen terhadap brownies. Penelitian ini menggunakan metode eksperimen dengan pendekatan kuantitatif. Perlakuan yang diberikan berupa substitusi tepung pati ganyong dengan konsentrasi 0%, 25%, 50%, dan 75% terhadap total tepung dalam adonan brownies. Data dikumpulkan melalui uji organoleptik oleh 73 panelis tidak terlatih yang menilai dari aspek rasa, tekstur, tingkat kesukaan. Analisis data dilakukan dengan uji normalitas, homogenitas, ANOVA satu arah untuk mengetahui ada tidaknya pengaruh signifikan antar perlakuan. Hasil penelitian menunjukkan bahwa subtitusi tepung pati ganyong memberikan pengaruh signifikan terhadap atribut rasa brownies pada konsentrasi penambahan tepung ganyong sebanyak 25%,  atribut tekstur brownies pada konsentrasi penambahan tepung ganyong sebanyak 75%. Tingkat kesukaan konsumen terhadap brownies tertinggi pada konsentrasi penambahan tepung ganyong sebanyak 50%. Penelitian ini menunjukkan bahwa tepung pati ganyong berpotensi menjadi bahan baku alternatif dalam pembuatan brownies sekaligus mendukung pemanfaatan sumber daya pangan lokal yang lebih luas.

Salah satu jenis kuliner yang banyak digemari masyarakat adalah kue kering. Kastengel, sebagai salah satu jenis kue kering warisan Belanda. Kastengel adalah salah satu jenis kue kering yang populer di Indonesia. Penelitian ini bertujuan untuk mengetahui pengaruh penambahan keju dangke terhadap hasil jadi produk kastangel ditinjau dari uji organoleptic meliputi warna, aroma, tekstur dan rasa, serta daya terima masyarakat terhadap olahan produk kastangel dengan tambahan keju dangke. Penelitian ini menggunakan metode eksperimen dengan tiga perlakuan konsentrasi keju dangke, yaitu 50%, 100%, dan 150% dari jumlah keju yang digunakan dalam resep standar.Data diperoleh melalui uji organoleptik oleh panelis terhadap lima parameter: rasa, aroma, tekstur luar,tekstur dalam dan warna. Selain itu, dilakukan uji daya terima untuk mengetahui tingkat kesukaan terhadap produk. Data dianalisis menggunakan uji One Way ANOVA untuk mengetahui pengaruh perlakuan terhadap masing-masing parameter yang diuji. Hasil penelitian menunjukkan bahwa 1). Penambahan keju dangke memberikan pengaruh yang signifikan (p < 0,05) terhadap parameter rasa dan aroma, namun tidak signifikan terhadap tekstur dan warna. 2). Perlakuan dengan penambahan keju dangke 100% merupakan yang paling disukai berdasarkan hasil uji daya terima masyarakat, dengan skor rata-rata tertinggi pada semua parameter.

Kecap merupakan produk fermentasi kedelai yang berperan penting sebagai bumbu penyedap dalam masakan. Berdasarkan rasa dan kekentalannya, kecap dibedakan menjadi kecap manis dan kecap asin. Penelitian ini bertujuan untuk mengkaji penerapan teknologi filling otomatis sebagai solusi dalam meningkatkan efisiensi proses pengemasan botol kecap pada skala UMKM. Metode yang digunakan adalah deskriptif kualitatif dengan pendekatan studi pustaka. Permintaan pasar yang tinggi terhadap kecap manis mendorong tumbuhnya industri kecil. Namun, UMKM ini menghadapi kendala dalam hal kapasitas produksi dan konsistensi mutu produk. Salah satu proses yang memerlukan waktu lama dan tidak efisien adalah pengemasan manual. Untuk mengatasi permasalahan tersebut, diterapkan solusi teknologi berupa filling machine semi otomatis. Teknologi ini mempercepat proses pengisian botol, mengurangi kehilangan produk akibat tumpahan, serta meningkatkan efisiensi waktu dan tenaga kerja. Meskipun memerlukan investasi awal yang cukup besar dan ketergantungan pada listrik, penggunaan filling machine semi otomatis terbukti efektif dalam meningkatkan efisiensi dan kualitas produksi kecap di skala UMKM.

Gingerbread merupakan kue kering yang terbuat dengan bahan dasar tepung terigu dengan campuran jahe dan bubuk kayu manis. Ketergantungan penggunaan tepung terigu pada pembuatan produk pangan sampai saat ini masih sangat tinggi, salah satu upaya untuk mengurangi penggunaan tepung terigu adalah dengan memanfaatkan tepung kentang sebagai pengganti tepung terigu. Jahe memiliki beragam jenis dan karakteristik yang berbeda, penggunaan jahe yang biasanya yang digunakan dalam pembuatan gingerbread yang sering dijumpai dipasaran berupa jenis jahe merah, jahe gajah dan jahe emprit. Penelitian ini bertujuan untuk mengkaji pengaruh jenis dan bentuk jahe terhadap kualitas gingerbread cookies. Penelitian ini menggunakan Rancangan Acak Lengkap (RAL) dengan 2 perlakuan jenis jahe yaitu jahe gajah dan jahe merah, dan dalam bentuk bubuk dan cair. Hasil penelitian menunjukkan perlakuan jenis jahe berupa bubuk dan cair menunjukkan pengaruh signifikan terhadap parameter fisik dan organoleptik produk. Penggunaan jahe bubuk cenderung meningkatkan kekerasan, serat kasar, dan daya kembang, serta menghasilkan warna yang lebih gelap dan tekstur yang lebih padat. Sebaliknya, jahe cair menghasilkan gingerbread yang lebih lembut, berwarna lebih cerah, dan tekstur lebih rapuh. Analisis sensoris menunjukkan preferensi konsumen terhadap gingerbread dengan perlakuan jahe cair dari segi warna dan aroma lebih disukai, sementara dari aspek tekstur dan kekerasan, jahe bubuk lebih disukai.  

The Merdeka Curriculum represents Indonesia’s national education reform aimed at transforming learning paradigms toward a more contextual, flexible, and student-centered approach aligned with the Pancasila Student Profile. One of its key priorities is fostering critical thinking competence from the elementary level. This article aims to critically analyze the implementation of the Merdeka Curriculum in developing students’ critical thinking skills in Indonesian elementary schools. Employing a conceptual and literature-based approach, this study examines educational policies, theories of critical thinking, and recent research findings (2020–2025). The analysis reveals that the Merdeka Curriculum holds strong potential to enhance critical thinking through differentiated learning, project-based learning, authentic assessment, and the Pancasila Student Profile projects. Nevertheless, its implementation still encounters challenges, particularly regarding teacher competence, infrastructure readiness, and non-reflective learning culture. Therefore, strengthening teacher capacity, reforming assessment systems, and cultivating critical thinking as a school-wide culture are essential to realizing the goals of the Merdeka Curriculum effectively at the elementary education level.

This study aims to determine the influence of the implementation of the Independent Curriculum management and teacher teaching strategies on improving student character at SMK Negeri 1 Sangatta Utara. This study was field research with a quantitative approach. Data collection techniques used questionnaires, observation, and documentation. The study population was all 230 11th-grade students at SMK Negeri 1 Sangatta Utara, with a sample of 115 respondents drawn using Suharsimi Arikunto's formula. Data analysis used multiple linear regression. The results showed that the implementation of the Independent Curriculum management had a significant effect on improving student character by 60.85%, while teacher teaching strategies had a 15.95% effect. The coefficient of determination (R²) of 0.768 indicates that the two independent variables together contributed 76.8% to student character improvement, while the remaining 23.2% was influenced by factors outside the study. Therefore, it can be concluded that the implementation of the Independent Curriculum management has a more dominant influence than teacher teaching strategies on student character development.

Web security is an important aspect in maintaining data integrity and confidentiality in the digital age, where cyber threats are increasingly complex and difficult to detect. This research was conducted because there are still many web systems that are vulnerable to attacks due to weak early detection of security gaps. For this reason, this study implements a combination of Nmap and Metasploit Framework as the main tools in proactively detecting and testing system vulnerabilities. The research method was carried out in three stages, namely data collection by scanning the network using Nmap to identify open ports and services, selecting the appropriate testing tools, and controlled exploitation using Metasploit on the Metasploitable2 test system. The results of the study show that Nmap is capable of mapping the attack surface in detail, while Metasploit can validate the scan results through exploitation of vulnerable services such as vsftpd 2.3.4, which successfully provided root access to the target system. The combination of these two tools has proven to be effective in conducting systematic, fast, and accurate early detection of attacks, so that it can be used as a preventive measure to improve web security from potential cyber threats.

Penelitian ini dilakukan untuk menganalisis dan membandingkan sentimen pelanggan terhadap lima restoran Sunda di Kota Bogor menggunakan metode Aspect-Based Sentiment Analysis (ABSA) berbasis Fine-Tuning IndoBERT. Ulasan pelanggan di platform digital seperti Google Review berpengaruh besar terhadap citra dan keputusan konsumen, sementara jumlah ulasan yang besar sulit dijelaskan secara manual. Data penelitian diperoleh dari 3.232 ulasan Google Review dan diproses menjadi 3.010 data yang dikelompokkan berdasarkan lima aspek utama, yaitu makanan, pelayanan, harga, suasana, dan fasilitas. Metode Fine-Tuning IndoBERT digunakan untuk mengklasifikasikan sentimen positif, netral, dan negatif, dengan evaluasi melalui metrik akurasi, presisi, recall, dan F1-score. Hasil menunjukkan bahwa model memiliki performa sangat baik dengan akurasi tertinggi sebesar 97,51% pada aspek pelayanan dan terendah 92,52% pada aspek makanan, serta nilai F1-score makro di atas 0,91. Analisis menunjukkan bahwa Bumi Aki unggul pada aspek makanan dan fasilitas, Saung Abah pada pelayanan, Saung Kuring pada harga, dan Gumati pada suasana. Hasil penelitian ini menunjukkan bahwa Fine-Tuning IndoBERT efektif dalam memahami opini pelanggan berbahasa Indonesia dan dapat menjadi acuan bagi pelaku usaha kuliner dalam meningkatkan kualitas layanan.

This study aims to analyze the factors that influence students' interest in continuing their education to college using a machine learning approach. Data was collected through an online questionnaire completed by 727 students between July 27 and August 22, 2025, covering 23 variables consisting of respondent identity (gender, grade level, major) as well as internal and external factors such as parental support, learning motivation, and preferred type of college. The data preparation stage was carried out through column cleaning, deletion of empty data, encoding of categorical variables, and division of the dataset into 80% training data and 20% test data. The Naive Bayes algorithm of the CategoricalNB type was used because it was suitable for the categorical nature of the data. The evaluation results showed that the model was able to predict student interest with 96% accuracy. For the class of students interested in continuing their studies, the precision, recall, and F1-score values were above 0.95, while the performance in the class of students who were not interested was slightly lower due to the smaller amount of data. These findings show that Naive Bayes is proven to be effective and reliable in classifying students' interest in continuing their studies and can be the basis for decision-making in designing more targeted educational strategies.

Social media has become a strategic tool for the government to disseminate public information quickly, interactively, and efficiently in the digital era. The Lampung Provincial Government utilizes various social media platforms such as Facebook, Instagram, and TikTok to support public communication activities. This study aims to analyze the effectiveness of public communication by measuring the level of activity of Regional Apparatus Organization (OPD) social media accounts using the logistic regression method. Data were collected through web scraping techniques on the official OPD social media accounts and then processed using a quantitative approach. The results show that the level of social media activity influences the effectiveness of public communication and the transparency of government information. These findings are expected to serve as a basis for local governments in designing public communication strategies that are more optimal and adaptive to developments in digital technology.

Crime, an unlawful act that contradicts ethics and norms, has now become a primary factor for the police in Lampung province. This presents a challenge for the police institution in predicting high crime rates. However, there are still many crimes that have not become the main focus of problem-solving at the Lampung Regional Police.This research aims to identify the types and criminal acts of crime with the highest recorded incidence in a crime dataset by performing classification using the Naïve Bayes algorithm. The data was obtained from investigators at the Directorate of General Criminal Investigation of the Lampung Regional Police, with a total of 12,034 JTP (Total Criminal Acts) and 7,518 PTP (Crime Resolution) data points for each type of crime, distributed across the Regional Police, City Police, and District Police throughout Lampung province. The classification process using the Naïve Bayes algorithm reveals the relationship between the work unit (Satker) and the type of crime handled, thereby identifying crime patterns based on the location where they are handled. The results of the research, which involved converting numerical data into binomial (binary) form using the "Numerical to Binominal" feature in Rapid miner, show that the analysis and modeling process, especially in algorithms like Naïve Bayes or decision trees, is more effective when using data in a binary format. Thus, the initial dataset can be visualized in the form of a , with the size of the text varying according to the level of each high-incidence crime; the larger the text, the more frequently or significantly the crime occurred or was reported. The application of this method can help in identifying patterns, dominant trends, and areas of focus for more targeted law enforcement efforts or crime prevention policies.

Selecting the right supplier is a critical aspect of supply chain management, especially in a retail business like Parfume Corner, which relies on product quality, availability, and on-time delivery. This study aims to implement the VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje) method as a multi-criteria decision-making approach to determine the best perfume supplier. The VIKOR method was chosen because of its ability to handle conflicts between criteria and produce optimal compromise solutions. The evaluation criteria used include product quality, price, on-time delivery, after-sales service, and flexibility in negotiations. Data were collected from five potential suppliers through observation, interviews, and historical transaction documents. The analysis results showed that one supplier obtained the lowest VIKOR index score, thus being determined as the best compromise solution. The implementation of the VIKOR method proved effective in providing objective and transparent recommendations, which can support Parfume Corner's strategic decisions in building long-term partnerships with reliable suppliers. This approach can also be adapted by similar businesses to improve procurement efficiency and quality. The test results obtained were that in the expert test a Good value was obtained, namely 80%, while in the system test a Very Good conclusion was obtained, namely 100%.

This study compares two service management models to evaluate the governance of the Wi-Fi network in Dusun Gita Nagari Baru. The main objective is to measure user satisfaction and service quality following the implementation of the COBIT 2019 framework, particularly the DSS02 domain (Manage Service Requests and Incidents). The research employed a mixed methods approach, using historical-comparative document analysis and Likert scale questionnaires distributed to 21 active users. The data were analysed through gap analysis, capability level mapping, and descriptive statistical analysis to identify performance differences between two periods. The results indicate that most indicators in the COBIT 2019 capability model are at Level 4 (Predictable), one indicator reaches Level 5 (Optimising), and another indicator is at Level 3. Indicators directly related to the DSS02 domain, such as ease of reporting, response speed, schedule accuracy, and repair time, demonstrate the most significant improvements. These findings support the hypothesis that implementing COBIT 2019-based governance for DSS02 can enhance user satisfaction and the quality of Wi-Fi network services in rural areas. This study also provides practical recommendations for the sustainable management of digital infrastructure in areas with limited access.