This study aims to (1) describe supporting and inhibiting factors in blended learning implementation for the students of computer and network engineering expertise program and (2) describe the accomplishment level of the implementation. This study is designed as a descriptive study with quantitative approach. The research object is the blended learning implementation in computer and network engineering expertise program in SMK N 1 Baureno Bojonegoro. The research subjects consist of teachers, facilities, materials and applications and students in the blended learning implementation process. The data was collected using observation, surveys and interviews. It was analyzed using percentages and classification analysis. The results reveals that the blended learning has been appropriately implemented. It is proven by the analysis result of supporting and inhibiting factors including facilities, teachers’ skill, materials and applications and blended learning accomplishment. The result is also supported by the description about blended learning activity, the use of facilities, blended learning composition and the impact of implementing blended learning. The weaknesses in the implementation process are the low quantity and quality of personal computers and inadequate internet connection. Teachers and school boards are expected to work collaboratively to solve the problems thus the implementation of blended learning can be maximized.

Electric cars are the way to reduce global warming and fuel shortages. Performance variable speed drive is needed for various drive electric vehicle applications. Unfortunately, high performance is still being investigated with a variety of drive systems. This paper presents a design, analysis, and implementation of the SV-PWM inverter motor drive system. The SV-PWM algorithm in design using Matlab, to analyze the system include signal response, THD-V, THD-I. All algorithms are embedded in STM32F4, as the main controller. The hardware uses a 3-phase motor control Steval power module. Response speed and output signal inverters are shown in chart form for analysis

Over the past few years, people have been able to get and share information through social media easily. Some of that information can be a false issue created by a buzzer account that intends to influence people into a specific opinion. Politicians often use social media to maintain a good image in society by utilizing buzzer accounts. The main characteristic of a buzzer account is that they upload the same content repeatedly within a certain period. Before analyzing data taken from social media such as Twitter, we need a buzzer detection system to filter data from buzzer users.  This research attempts to build a buzzer detection system using text processing and classification method. We use the similarity of tweets as a feature for the buzzer detection system by applying Cosine Similarity to the Term Frequency - Inverse Document Frequency (TF-IDF) feature of the tweets. In addition, we will use other features such as the number of followers, number of followings, the intensity of tweets, the ratio of retweets, and the ratio of tweets that contain links as additional features in this study. This research uses these features as inputs to the Support Vector Machine model to determine whether an account is a buzzer or not. This system has promising results by having 89% accuracy, 86.67% precision, 70.91 % recall, and 78% F1-score.

Sebagai salah satu contoh UMKM lokal yang terus berkembang adalah Batik Khas Madura bernama Sentra Batik Tulis Madura “Indo Busana” milik Bapak Abdul Hamid, berlokasi di Dusun Prajjan Dhejeh, Desa Prajjan, Kecamatan Camplong Kabupaten Sampang Jawa Timur namun dikarenakan pandemi Covid-19, pesanan dari konsumen luar menurun dikarenakan berkurangnya jumlah kunjungan. Sehingga solusi yang tepat adalah menggunakan media website jual beli untuk memasarkan produknya lebih luas lagi, kemudian dapat mengelola produknya .Sasaran pengabdian adalah UMKM, untuk membantu dalam pemasaran, pengelolaan dan penjualan produk mitra kami dalam hal ini Batik Lokal Madura, Untuk memecahkan masalah digunakan tiga tahapan, persiapan, pelaksanan, dan evaluasi. Hasil yang diharapkan dari pengabdian adalah mitra mampu mandiri dalam mengoperasionalkan website jual-beli dan media sosial lain sehingga produk yang dijual menjadi lebih dapat diketahui oleh masyarakat terutama dari daerah luar, sehingga juga mampu untuk memasarkan produk lokal yakni Batik Madura, sehingga berdampak juga pada peningkatan omset mitra.

Indeks Pembangunan Desa yang dibangun dari Pendataan Potensi Desa (Podes) tahun 2014. untuk menilai tingkat perkembangan desa, dibagi  menjadi 3 klasifikasi yaitu Desa Mandiri, Berkembang, dan Tertinggal, memiliki 5 dimensi. Penulis bertujuan untuk menilai tingkat perkembangan desa melalui status desa berdasar data IPD, penentuan status desa menggunakan teknik clustering dengan metode K-Means berbasis Ordered Weighted Averaging (OWA), OWA dapat mengurangi kompleksitas data dengan memadukan nilai multi  attribut ke nilai agregat berupa nilai tunggal dengan menggunakan expert judgement untuk menentukan nilai orness (α). Hasil dari penelitian ini pengelompokan data IPD tahun 2014 kedalam 3 status desa dengan algoritma K-Means berbasis OWA menunjukkan metode clustering K-Means dengan OWA memiliki Index Davies 1,42 lebih baik daripada metode K-Means dengan euclideance yang memiliki nilai 1,65. Hasil akhir penelitian diperoleh jumlah desa untuk setiap cluster, yaitu cluster Desa Tertinggal sebanyak 98, cluster Desa Berkembang sebanyak 32, dan cluster Desa Mandiri sebanyak 100 desa.