This study aims to determine the level of air pollution based on gas waste and ambient air quality, so it can be known which chimney releases waste gas the most and the least. It also knows which villages are most affected and safest from gas waste from PG Mojopanggung. Weighted Product method is used to calculate the level of air pollution. The results showed that from the side of the gas waste, the Stork I Boiler Chimney is the most discharging chimney gas waste, while the value of pollution by chimney kettle in PG Mojopanggung all does not exceed the standard quality that has been determined. Conversely, in terms of ambient air quality, Jatimulyo village is the village most affected by gas waste from PG Mojopanggung. There are some air pollutants that exceed the specified quality standard but not too much difference. To overcome the air pollutant that exceeds the quality standard, PG Mojopanggung performs the gas waste treatment and several other solutions.

Perkembangan Internet dan aplikasi berbasis jaringan telah menjangkau ke berbagai macam aplikasi yang memungkinkan seseorang untuk saling berkirim pesan dan informasi tanpa dibatasi jarak dan waktu. Seiring dengan perkembangan itu pula, kerentanan akan aspek keamanan sebuah system juga semakin meningkat. Dalam penelitian ini, peneliti mencoba menerapkan kombinasi antara metode kriptografi dan steganografi yang bertujuan untuk meningkatkan upaya pengamanan sebuah pesan. Kriptografi Cipher Block Chaining (CBC) merupakan kriptografi yang sudah umum digunakan contohnya pada protocol internet TLS dan IPsec. Proses enkripsi dan dekripsi CBC memerlukan waktu yang relatif singkat karena mode CBC memiliki kecepatan dan efisiensi lebih tinggi dan dinilai lebih mudah diimplementasikan. Metode berikutnya yang digunakan adalah Steganografi Least Significant Bit (LSB) yang bekerja secara sederhana namun sangat efektif dalam menyisipkan pesan tersembunyi. Namun, beberapa penelitian menemukan kelemahan LSB yang dapat menemukan keberadaan pesan tersembunyi menggunakan algoritma steganalytic pada tingkat embedding yang rendah. Untuk itu, LSB harus dikembangkan lagi dengan menerapkan deteksi tepi sobel yang dapat bekerja untuk mendeteksi keypoint penyembunyian pesan sehingga LSB tidak lagi bekerja secara standar. Kombinasi metode CBC dan LSB-Sobel telah terbukti dan berhasil merahasiakan pesan dengan baik dan menghasilkan stego-image yang berkualitas tinggi setelah dilakukan pengujian PSNR dan MSE. Kata kunci: Kriptografi, steganografi, CBC, LSB, Deteksi Tepi Sobel

Rabbits reputation of being cute, fluffy, cuddly critters lend then to being a popular choice for children pets. But in raising a rabbit is not easy, this depends on the type of rabbit. Rabbits that commonly pet are Rex Rabbits, American Rabbits, and Giant Rabbits. Rex Rabbits itself has some species including Rex Amber and Rex Lilac species, Giant Rabbits rabbits includes Giant Chekered rabbit, Harleyquin, dan American White Rabbit. Classification technology can be used to help the classification process of rabbits are Multi-SVM method and image feature extraction to classify rabbit species. Feature extraction used in this study is mean, variance, skewness, kurtosis, entropy. The five features are classified with Multi-SVM. The data used in this study are 125 images, consisting of 100 training images and 25 test images. The accuracy of this method reached 92%. Keywords – Classification, Multi-SVM, Rabbit, Feature Extraction

The purpose of this study is to be able to find out and analyze the relationship between the financial performance of micro, small and medium enterprises or MSMESs and knowledge of financial inclusion towards the implementation of digitization in order to assist and facilitate financial inclusion activities towards public knowledge. This study uses a descriptive quantitative research method. The results of the research are data processing using SPSS 26 statistics and the results show that financial inclusion can trigger an increase in public knowledge or micro, small and medium enterprises, and financial inclusion can improve financial performance with knowledge of existing products in banking institutions with digital technology facilities. From the results of the study it can be concluded that MSMEs business actors have a partial effect on the use of digital technology services. Likewise, the knowledge variable about financial inclusion has a partial effect on the use of digital technology services.  Keywords: Digital, Financial Inclusion, Micro, Small and Medium Enterprises

The existence of information is undeniably needed by many people. This statement describes the increasing importance of information and the corresponding increase in the need for access to relevant documents and literature. The contents of the information derived from these documents are then sorted to make their meaning more understandable. This sorting process is known as stemming. Stemming is a process that is widely applied in basic word searches. Separating meaningless words can make information clearer. It is necessary to pay attention to the appropriate stemming algorithm according to the language used. Many stemming algorithms can be used to perform this basic word search process. Some of them are the Tala and Nazief Adriani algorithms. The two algorithms have differences in their work processes. The Tala algorithm adopts a rule-based Porter algorithm, while the Nazief & Adriani algorithm works based on a dictionary. The two algorithms have their respective advantages in terms of accuracy and speed. Therefore, in this study, an analysis will be carried out by comparing the performance of the two algorithms in the Indonesian language text-stemming process. The trial process uses several different data sources to measure the speed and accuracy of each algorithm. Data sources used in this study included abstracts of student thesis reports or final assignments of 30 students and information from online news as many as 200. From the results of the tests that have been carried out, it can be concluded that the Tala stemming algorithm has a lower accuracy level than Nazief Adriani. The Tala algorithm only has an average accuracy of 65.29%, while Nazief Adriani has an accuracy of 78.47%. Regarding speed, the Tala algorithm has a better speed than Nazief Adriani at 32.19 seconds and Nazief & Adriani at 65.2 seconds.