The aim of this activity is to provide data to students about the intelligent use of digital media which can influence the turn of events and the use of science in the eyes of the public. This business is named "Socialization of the Smart Use of Digital Media for Students in Bandar Magodang Village" Bintang Bayu District, Serdang Bedagai Regency. The main strategy used by students in this effort is an effort technique that provides material to help students understand how to make better use of advanced media. Through this local area administration, universities can support the use of intelligent and locally significant data innovation.

Pendampingan masyarakat yang dilakukan oleh komunitas Dechips melalui sosialisasi pembuatan kripik dari pelepah pisang di Desa Sedati, Sidoarjo merupakan suatu kegiatan pemanfaatan limbah pelepah dari pohon pisang yang diolah menjadi sebuah produk makanan ringan yaitu kripik. Kripik pelepah pisang ini dikatakan makanan ringan yang memiliki nilai ekonomi yang tinggi. Dengan mengembangkan produk kripik dari pelepah pisang memunculkan kreativitas dan inovasi karena dapat mengelola limbah pelepah pisang. Bahkan dari produk kripik ini selain mengurangi limbah yang ada, dapat meningkatkan ekonomi masyarakat serta menjadi peluang usaha. Upaya pendampingan ini dilaksanakan bersama dengan komunitas Dechips yakni mahasiswa dari prodi Ilmu Ekonomi dan perwakilan ibu-ibu dari Desa Sedati, Sidoarjo melalui kegiatan sosialisasi dan demonstrasi terkait langkah langkah membuat produk kripik dari pelepah pisang. Metode dalam pendampingan ini ialah menggunakan analisis deskriptif melalui wawancara mendalam dan observasi langsung.Hasil pendampingan ini ialah agar masyarakat memiliki kesadaran bahwa limbah pelepah pisang yang biasanya dibiarkan membusuk ternyata dapat diolah dan bahkan bernilai ekonomis sehingga dapat meningkatkan kualitas SDM dan perekonomian mereka.

Artikel ini membahas tentang edukasi pemanfaatan home charging sebagai alat yang berperan penting dalam mendukung penggunaan kendaraan listrik ramah lingkungan. Artikel ini bertujuan untuk memberikan edukasi terkait manfaat dan dampak penggunaan home charging. Metode yang digunakan meliputi perencanaan, implementasi dan evaluasi yang dilakukan di tempat pengguna instalasi home charging. Dalam kesimpulannya, pemanfaatan fasilitas home charging memiliki potensi besar untuk mendukung penggunaan kendaraan listrik ramah lingkungan. Dengan peningkatan infrastruktur yang tepat dan dukungan dari berbagai pihak, pemanfaatan ini dapat menjadi solusi yang efektif dalam mengurangi emisi gas rumah kaca dan mendorong perkembangan lebih lanjut dalam teknologi kendaraan listrik. 

Kuncup Melati School consists of Kindergarten, Elementary School and Junior High School is one of the private schools located in the middle of the city which is quite strategic and very easy to access and in a densely populated area. In addition to being in a strategic and densely populated location, this school is a private school that does not charge any fees to its students. Funded by a Khong Kauw Hwee Foundation.Every year like other private schools, it opens registration opportunities, but even though the school is free, there are not many students, especially the community in the school environment, the school already has social media which is a means of information and promotion of activities and activities from the school, but registrants who enter this school sometimes do not meet the quota provided by the school. On this occasion, the Community Service Team will carry out activities with the theme of optimizing effective promotional media that can help achieve the target of students who register at Kuncup Melati School. , namely with promotional activities other than social media can be done with other media. The hope is that with this promotional optimization activity, it can increase public interest in entering school at Kuncup Melati.

Maritime English as the variety of ESP is taught for the students in the maritime field. In this study mainly discuss about the understanding of the Indonesian maritime students in using maritime English in the daily report in form in cadet record book. The students are expected to understand in using maritime English in the daily report the appropriate approach. The communicative approach has been selected as the best approaches since it involved the student’s activities in practice and drills the tasks in using maritime English in daily report. In this case, the teachers are expected to be aware with the student’s background of knowledge. The teachers are also expected to have communicative approach in order to discover the best implementation of the communication aims.

Komunikasi merupakan kegiatan kemasyarakatan yang dimana dilakukan dua atau lebih orang untuk dapat saling bertukar informasi. Komunikasi dapat dilakukan dimana saja dan kapan saja.  Namun komunikasi secara normal tidak dapat dilakukan oleh kalangan berkebutuhan khusus terutama tuna wicara. Permasalahan tersebut menimbulkan banyak kerugian bagi penyandang tunawicara untuk berkomunikasi dengan kaum dengar. Kondisi tersebut dapat dihindari dengan membuat sistem pendeteksian bahasa isyarat alfabet BISINDO berbasis computer vision. Penelitian ini memanfaatkan kecerdasan buatan dalam mengenali bahasa isyarat, serta penggunaan konsep Deep Learning dan pemanfaatan arsitektur YOLOv4.  Kecepatan dan keringanan komputasi juga menjadi pertimbangan penting dalam penelitian ini untuk mendapat hasil yang cukup baik dengan waktu komputasi secepat mungkin. Sistem dibangun menggunakan total 494 dataset citra yang sekaligus digunakan untuk pelatihan serta pengujian sistem. Untuk dapat mengukur besarnya performa dari model digunakanlah Confusion Matrix. Hasil dari pengujian menunjukkan bahwa sistem memiliki tingkat accuracy sebesar 99.7%, tingkat precision sebesar 96%, dan tingkat recall sebesar 96%. Penelitian ini membuktikan bahwa metode ini dapat digunakan untuk mendeteksi bahasa isyarat alfabet BISINDO dengan benar dan akurat berdasarkan masukan gambar.Komunikasi merupakan kegiatan kemasyarakatan yang dimana dilakukan dua atau lebih orang untuk dapat saling bertukar informasi. Komunikasi dapat dilakukan dimana saja dan kapan saja.  Namun komunikasi secara normal tidak dapat dilakukan oleh kalangan berkebutuhan khusus terutama tuna wicara. Permasalahan tersebut menimbulkan banyak kerugian bagi penyandang tunawicara untuk berkomunikasi dengan kaum dengar. Kondisi tersebut dapat dihindari dengan membuat sistem pendeteksian bahasa isyarat alfabet BISINDO berbasis computer vision. Penelitian ini memanfaatkan kecerdasan buatan dalam mengenali bahasa isyarat, serta penggunaan konsep Deep Learning dan pemanfaatan arsitektur YOLOv4.  Kecepatan dan keringanan komputasi juga menjadi pertimbangan penting dalam penelitian ini untuk mendapat hasil yang cukup baik dengan waktu komputasi secepat mungkin. Sistem dibangun menggunakan total 494 dataset citra yang sekaligus digunakan untuk pelatihan serta pengujian sistem. Untuk dapat mengukur besarnya performa dari model digunakanlah Confusion Matrix. Hasil dari pengujian menunjukkan bahwa sistem memiliki tingkat accuracy sebesar 99.7%, tingkat precision sebesar 96%, dan tingkat recall sebesar 96%. Penelitian ini membuktikan bahwa metode ini dapat digunakan untuk mendeteksi bahasa isyarat alfabet BISINDO dengan benar dan akurat berdasarkan masukan gambar.

Sand is the main commodity of the Gondoruso community, almost all levels of society feel the impact of the presence of sand mining. From sand, it can form a network ecosystem for local residents' livelihoods. Based on this phenomenon, researchers conducted an analysis using Max Weber's concept of Protestant Ethics and McLeland's need for achievement. Weber stated that the Protestant Ethics was the forerunner to the birth of the spirit of capitalism which brought human civilization to become the creature of capital it is today. This is in line with the thoughts of Mc Cleland who stated that to achieve progress in civilization, you need encouragement to achieve your goals. The need for achievement makes humans move to realize the progress of their civilization. This encouragement encourages people to think more rationally, ultimately encouraging capitalization to maximize existing potential. This research uses qualitative methods with an ethnographic approach. This is in line with analysis that attempts to describe and explain the reality that exists within a society.
 

Indonesia is one of the world's largest producers and exporters of Crude Palm Oil (CPO). This study aims to analyze the competitiveness level of Indonesian CPO and the competitive position of Indonesian CPO in the target countries of the United States and Pakistan. This research uses secondary data with a time span from 2018 to 2022. The methods used in this research are the Revealed Comparative Advantage (RCA) method and Export Product Dynamic (EPD). The analysis results show that Indonesia's export competitiveness to the target countries of the United States and Pakistan is high. Then, the majority of the market share to the target countries of the United States and Pakistan is in the Rising Star position, which means there is positive growth. The government needs to synergize policies and create regulations regarding international trade agreements, the government can also simplify export licensing procedures, and Indonesian exporters need to pay more attention to the quality and composition of CPO products

Pamijahan District in Bogor Regency, West Java, is known as one of the main sources of milk supply for dairy cows in the region. Dairy cow's milk is a product that has high and stable demand and selling value. Supply Chain Management (SCM) at Sapi Juara Farm in Pamijahan District involves the distribution of dairy cow's milk which includes product flow, information and finance. This study aims to understand the SCM of dairy milk at Sapi Juara Farm, including product flow, information and finance, as well as efficiency as measured through marketing margin and farmer's share. This research uses quantitative descriptive methods with primary data obtained from interviews. The results of the analysis show that there is a flow of dairy milk products, a flow of information from farmers to various actors in the supply chain, and a flow of funds that includes costs and profits from nine distribution channels that influence the performance of the supply chain based on the payment system. From the analysis of the profit share value, it can be seen that the SCM for dairy cow milk in Pamijahan District is running efficiently. It is hoped that SCM in Pamijahan District can be more efficient to avoid losses at each stage or link in the chain and stabilize milk prices in the market, while improving the welfare of farmers, especially at Sapi Juara Farm.

Purpose: This research emphasizes the need to map villages' conditions and identify village potentials, evaluate the effectiveness of development capability, and address the rural-urban development gap with clustering algorithms. The study employs the village development index (IPD) indicators obtained from the village potential dataset, with various numerical and categorical indicators, to capture both tangible and intangible aspects of village potential. Challenges such as missing data and outliers in IPD data collection can be found. The study aims to evaluate the effectiveness of clustering algorithms, with integrated and separated imputation processes, in handling these data issues and to track the development of villages in the Bogor Regency, West Java, Indonesia, based on the village’s potential (PODES) dataset.
Methods: Three clustering algorithms, such as k-prototype, simple k-medoids, and Clustering of Mixed Numerical and Categorical Data with Missing Values (k-CMM) are compared. The pre-processing data, which is the imputation process for the first two algorithms, is conducted separately, while the k-CMM has an integrated imputation process. Both imputation stages are tree-based algorithms. Cluster evaluation is based on internal criteria and external criteria. Clusters resulting from the k-prototype and simple k-medoids are selected by internal validity indices and compared to k-CMM using external validity indices for several numbers of clusters (k = 3,4,5).
Result: According to data exploration, the IPD of Bogor Regency, West Java, Indonesia dataset contains ± 5% of outliers and six missing values in some chosen variables. Tree-based imputation methods are applied separately in k-prototype and simple k-medoids, jointly in k-CMM. Based on the elbow and gap statistics methods, this research aims to determine the optimum number of clusters k = 3. The internal validity indices performed on k-prototype and simple k-medoids resulting in three clusters (k = 3) are optimum. Trials on several clusters (k = 3,4,5) for three algorithms show that the k-prototype with k = 3 performs the best and is most stable among the two other algorithms with IPD datasets containing many outliers; external validity indices evaluate cluster results.
Novelty: This research addresses issues commonly found in mixed datasets, including outliers and missing values, and how to treat problems before and during cluster analysis. An improvement of Gower distance is applied in the medoid-based clustering algorithm, and the k-CMM algorithm is the first algorithm to integrate the imputation process and clustering analysis, which is interesting to explore this algorithm’s performance in clustering analysis.