Intrusion Detection Systems (IDS) are an efficient defense against network attacks as well as host attacks as they allow network/host administrators to detect any policy violations. However, traditional IDS are vulnerable and unreliable for new malicious and genuine attacks. In other case, it is also inefficient to analyze large amount of data such as possibility logs. Furthermore, for typical OS, there are a lot of false positives and false negatives. There are some techniques to increase the quality and result of IDS where data mining is one of technique that is important to mining the information that useful from a large amount of data which noisy and random. The purpose of this study is to combine three technique of data mining to reduce overhead and to improve efficiency in intrusion detection system (IDS). The combination of clustering (Hierarchical) and two categories (C5, CHAID) is proposed in this study. The designed IDS is evaluated against the KDD'99 standard Data set (Knowledge Discovery and Data Mining), which is used to evaluate the efficacy of intrusion detection systems. The suggested system can detect intrusions and categorize them into four categories: probe, DoS, U2R (User to Root), and R2L (Remote to Local). The good performance of IDS in case of accuracy and efficiency was the result of this study.

IoT technology is useful for chicken farming to control the condition of the farm concerning some problems such as odour, temperature fluctuations and feeding time system. This study used MQ135 to detect ammonia odour level, DHT11 to check room temperature, and RTC3231 to regulate feeding time. The data obtained from the sensor was sent by wemos to the fire base and MySQL to be read on android so that it can be monitored directly by the breeder. When the ammonia level is above normal it will turn on the odour fan. If  DHT11 reaches the value above 300C, it will turn on the cooling fan, and turn on the heating light when the temperature is below 250C. As RTC3231 sets the time at 07.00 and 14.00, the chicken feeder will automatically open to feed the chickens according to the time set. Table 1 and 2 show that the experiment obtained a value of 100% working well. This study succeeded in monitoring environmental conditions through Android and executing automatic feeding at the predetermined time. Thus, it can be concluded that the use of IoT technology for monitoring and feeding system automation  in chicken farms is highly recommended.

Human Computer Interaction (HCI), a growing research field in science and engineering, aims to provide a natural way for humans to use computers as tools. Humans prefer to interact with each other mainly through speech, but also through facial expressions and gestures, for certain parts of the speech and displays of emotions. The identity, age, gender, and emotional state of a person can be obtained from his face. The impression we receive from the expression reflected on the face affects our interpretation of the spoken word and even our attitude towards the speaker himself. Although emotion recognition is an easy task for humans, it still proves to be a difficult task for computers to recognize user`s emotional state. Advances in this area promise to arm our technological environment by means for more effective interactions with humans, and hopefully the impact of facial expressions on cognition will increase rapidly in the future. Will do. In recent years, the adoption of digital has increased rapidly, and the quality has improved significantly. Digital printing has resulted in fast delivery and needs-based costs. This article describes a sophisticated combination classifier approach, an empirical study of ensembles, stacking, and voting. These three approaches were tested on Nave Bayes (NB), Kernel Naive Bayes (kNB), Neural Network (NN), Auto MultiLayer Perceptron (Auto MLP), and Decision Tree (DT), respectively. The main contribution of this paper is the improvement of the classification accuracy of facial expression recognition tasks. In both persondependent and nonpersondependent experiments we showed that using a combination of these classifier combinations gave significantly better results than using individual classifiers. It has been observed from experiments that the overall voting technique by voting achieves the best classification accuracy.

Power conservation is a vibrant area of research on wireless sensor networks. Several research papers have shown that using mobile sync in the sensor field, which collects data from sensor nodes via single or multi-hop communication, can save significant energy. However, sinks move slowly, which increases sensor network delays, especially in delay-sensitive applications. To address this issue, various rendezvous-based techniques are described in which a subset of sensor nodes are selected from the field as rendezvous points (RPs). The remaining nodes transfer the captured data to the next RP, where the data is buffered. The RP is then used to build a path for the mobile sink to tour and collect the buffered data. This article describes various rendezvous-based techniques and analyzes their strengths and weaknesses in terms of energy savings.

Peer-to-peer systems nowadays are widely used because of the scalability and high reliability. File replication and consistency maintenance are widely used techniques to achieve high system performance. These techniques are connected to each other. The connection of these techniques is consistency maintenance is needed in file replication to keep the consistency between a file and the replicas. Traditional file replication and consistency maintenance methods need a high cost. The usage of IRM (Integrated file Replication and Consistency Maintenance inP2P systems) which will achieve high efficiency at a significantly lower cost can be used to solve this problem. IRM reduces redundant file replicas, consistency maintenance overhead, and unnecessary file updates.

Studi ini bertujuan untuk mengindetifikasi dan menganalisis yang berkaitan dengan bagaimana tantangan pendidikan Islam di Masa Covid 19 di Indonesia pada umumnya dengan permasalahan apa tantangan pendidikan Isam di Masa Covid 19 dan bagaimana solusinya. Data diperoleh melalui studi kepustakaan kemudian di analisis berdasarkan fakta aktual yang terjadi di wilayah Indonesia p bahwa ada tiga hal yang menjadi tantangan pendidikan Islam pada masa Covid 19, yaitu kemajuan teknologi, dekadensi moral, dan kejenuhan dalam mengikuti pembelajaran. Pendidikan Agama Islam bertujuan untuk membentuk dan membina pribadi peserta didik  yang sesuai dengan nilai-nilai ajaran agama Islam. Seiring dengan tujuan tersebut maka dalam praktiknya pembelajaran Pendidikan Islam menekankan pada transmisi nilai dan moralitas agama ke dalam perilaku dan tindakan peserta didik. Bukan hanya menyampaikan pengetahuan agama Islam tetapi juga menumbuhkan perilaku pada peserta didik yang didasari nilai-nilai agama Islam. Namun dengan  adanya  pandemi  virus  Covid-19  pembelajaran  tatap  muka  di sekolah tidak dapat dilaksanakan. Kebijakan pemerintah mengharuskan pembelajaran dilakukan secara daring. Pembelajaran daring menimbulkan kendala  dalam   penekanan   dan   pembiasaan   nilai-nilai   ajaran Islam kedalam perilaku peserta didik.
 

The purpose of this study was to determine the effect of religiosity and knowledge of Islamic accounting on a career in Islamic financial institutions. The research used quantitative methods, namely the method of multiple linier regression analysis with a sample of 78 respondent, by using purposive sampling. As for the provisions, students from the Islamic accounting study program who have passed the Islamic accounting course and have passed the Islamic financial institutions course.
                 The results of this study are that religiosity has no significant effect on the interest of Islamic accounting students to have a career in Islamic financial institutions, while Islamic accounting knowledge has a significant effect on students desires for a career in Islamic financial institutions.
Keywords: Religiosity, sharia Accounting Knowledge, career interest of Islamic accounting students in a career in Islamic financial institutions.

Company value plays a critical role in the company's performance because an increase in company value indicates an increase in company performance. The purpose of this research is to determine the impact of intellectual capital and corporate social responsibility on firm value, with managerial ownership serving as a moderating variable. In this study, firm value was calculated using the Tobin's Q method and secondary data obtained from the IDX website. The research sample included 30 LQ45 companies listed on the Indonesia Stock Exchange from 2016 to 2020, chosen using a purposive sampling method. Multiple linear regression and moderated regression analysis were used to analyze the data, which was processed using SPSS 26 software. According to the findings of this study, intellectual capital has an impact on firm value. Meanwhile, corporate social responsibility has no effect on the company's value. Furthermore, the findings of this study show that managerial ownership can moderate the relationship between intellectual capital and firm value but cannot moderate the relationship between corporate social responsibility and company value. Based on the findings of this study, company executives should be able to maximize the value of VAIC in order to create the greatest value space between the three components of intellectual capital, namely human capital, structural capital, and capital employed.
Keywords: Firm Value, Intellectual Capital, Corporate Social Responsibility, Managerial Ownership

Bantuan sosial merupakan salah satu program pemerintah untuk mensejahterakan masyarakat agar menjadikan kehidupan yang lebih baik. Terutama bagi masyarakat yang kurang mampu dalam hal ekonomi. Akan tetapi tidak semua orang akan mendapatkan bantuan sosial karena beberapa faktor penyebab. Untuk mengatasi permasalahan yang ada maka pemerintah mengadakan program bantuan sosial bagi masyarakat kurang mampu dalam hal ekonomi. Pada penelitian ini penulis menggunakan Algoritma Klasifikasi Dataminig yaitu Algoritma C4.5 untuk memprediksi masyarakat dalam memperoleh bantuan dana sosial. Sampel data diambil dari data penerima bantuan sosial kecamatan binong, kabupaten Subang. Dari hasil pengujian digunakan tes Cross Validation dan Confusion Matrix. Hasil yang diperoleh untuk nilai Accuracy Algoritma C4.5 adalah sebesar 100.00%, nilai untuk Precision sebesar 100.00%, dan nilai untuk Sensitivity atau Recall sebesar 100.00%. Dengan demikian Algoritma C4.5 merupakan algoritma dan teknik terbaik untuk Memprediksi Masyarakat dalam memperoleh Bantuan Dana Sosial.

Penelitian ini bertujuan untuk memahami bagaimana masyarakat terlibat dengan seni di era selfie, perangkat digital, dan media sosial. Ini mengkaji pengalaman penonton pameran seni, di mana pengunjung didorong untuk menggunakan media sosial untuk berbagi pengalaman seni mereka, untuk memahami bagaimana pendekatan semacam itu dapat mengubah sifat keterlibatan pengunjung dengan seni. Bisa dibilang, selfie yang diambil di ruang seni memperkaya pengalaman dan keterlibatan pengunjung dengan seni dan berfungsi sebagai alat pemasaran bersama, memberdayakan, dan otentik untuk museum. Data untuk penelitian ini dikumpulkan melalui observasi non partisipan (etnografi) dan netnografi di Museum Lawang Sewu Semarang. Hasil penelitian menunjukkan bahwa alih-alih mempromosikan pelepasan dari karya seni, selfie di ruang seni menjadi "keterikatan materi - diskursif jaringan" yang memberdayakan konsumen seni untuk bersama-sama menciptakan nilai dan organisasi seni untuk mengurangi jarak antar konsumen dan mereproduksi keaslian ikonik dari karya seni. karya seni di ruang maya. Artikel ini berkontribusi pada teori selfie dengan mengatasi pandangan tradisional tentang selfie sebagai manifestasi ekspresi diri narsistik. Sebaliknya, dalam mempromosikan interpretasi selfie sebagai sarana pemberdayaan dan demokratisasi yang digunakan oleh konsumen seni untuk mengembangkan narasi dan proyek identitas dalam konteks seperti museum di mana secara tradisional pengembangan narasi adalah karakter elit. Kontribusi lebih lanjut yang diberikan oleh penelitian ini berasal dari identifikasi kelompok pengunjung (yaitu, pelari realitas, pecinta seni, photoholics, dan pecinta selfie), ditempatkan pada kontinum nilai co-creation, yang perlu disadari oleh administrator seni sebagai memasuki era konsumsi seni yang lebih dinamis. Dengan menguraikan implikasi manajerial, penelitian ini memberikan refleksi awal tentang bagaimana manajer seni dapat menavigasi era yang muncul dari selfie .
 
Keywords: Selfie, Media Sosial, Interpretas