In line with the development of the digital potential of the creative economy, the demand for quality visual content from photography and videography industry players has also increased. However, access to quality photographers and videographers is still a problem for some people. Likewise, photographers and videographers also experience difficulties in getting clients. Photographers and videographers feel that the use of social media has not been maximized in helping them get clients. In addition to these problems, these photographers and videographers also have difficulty in disseminating the events held. To overcome this problem, researchers developed a digital platform that can accommodate the interests of photography and videography service providers, as well as the community of users of these services. The digital platform developed by researchers is named the “Lensa Buana” marketplace application. The development of the Lensa Buana marketplace application uses the prototype system development method. With this application, it is hoped that photography and videography service providers can reach more consumers, while the community as consumers can easily get photography and videography services according to their needs and desired quality.

Purpose: This study aims to conduct a comparative analysis of the decision-making methods of Simple Additive Weighting (SAW) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and build a decision support system that can be used to determine the linearity of lecturers’ research in their scientific fields. The analysis aims to assist relevant institutions in determining research linearity and guiding lecturers in their research policies and directions.
Methods: This study compares the performance of the SAW and TOPSIS methods, against the alternative ranking of lecturers’ research linearity. The performance of both methods was measured using accuracy and MSE, where a high accuracy value indicates that the method performs better and the value of MSE is small or close to zero indicating a better relevance.
Result: The results showed that the SAW method has a better accuracy value of 100% and an average MSE value of 0.13. At the same time, the TOPSIS method has an accuracy value of 33% and an average MSE value of 0.58.
Novelty: This study provides knowledge about the effectiveness and efficiency of decision-making methods to determine the lecturers’ research linearity, as a guideline for related institutions regarding research policy making. In addition, the results of this study also provide a framework for evaluating the recent decision-supporting method and improving the understanding of the implementation and performance of the methods.

The welfare of teachers in Indonesia, especially honorary teachers, is still very poor when compared to other ASEAN countries. There is a gap between the salaries of teachers in Indonesia and the salaries of teachers in several ASEAN countries. There have been several demonstrations carried out by teachers, especially honorary teachers, because the salary received is not in accordance with the performance that has been carried out. On the other hand, there is a problem of high unemployment in Indonesia. The factors causing the high unemployment rate in Indonesia are the mismatch of qualifications and the low quality of education in Indonesia, as well as limited job vacancies and the high need for employment. To overcome these problems, a new innovation is needed that can help the community in creating jobs and improving the quality of education in Indonesia. The Pasar Ilmu educational marketplace application was developed to overcome these problems. The development of this Pasar Ilmu application uses the prototype system development method. This research aims to create a system or application of the Pasar Ilmu educational marketplace that can help improve the quality of education in Indonesia as an application that can help honorary teachers to get additional income, help reduce unemployment in Indonesia, and provide flexible courses or lessons for students.

Food allergies are medical conditions caused by particular immunological reactions brought on by exposure to certain foods. All age groups can experience food allergies, albeit the prevalence varies between children and adults, with children experiencing this condition more frequently than adults. Find food ingredients or substances that can trigger allergies, often known as allergens. This project attempts to determine whether or not the food includes allergies by applying the SVM data mining method to a public dataset of food goods and allergens that was acquired via Kaggle. High accuracy, effective memory use, and the ability to handle non-normally distributed data are some of the benefits of the SVM method. Data collection is the first step in the research process. Data pre-processing, which includes data transformation, handling missing values, and copy objects, comes next. Validation comes next. Split validation with 90% training data and 10% testing data, 10-fold cross validation, and split validation with an 80%–20% ratio were all compared in this study. The SVM method is applied after the dataset has passed validation, and the confusion matrix is used for the last evaluation step. SVM has an accuracy rate of 97.24% when using 10-fold cross validation, according to the accuracy value produced by the validation process comparison. Split validation yields an accuracy value of 97.50% when the ratio of training data to testing data is 90% to 10%. In contrast, an accuracy rate of 98.75% was achieved by using split validation with a ratio of 80% and 20%.

Penjadwalan konten di media sosial secara efektif dan efisien telah menjadi kebutuhan penting bagi pengguna, terutama pengguna yang menggunakan media sosial sebagai alat untuk membantu menjalankan bisnis atau organisasinya. Penelitian ini bertujuan untuk merancang user interface untuk aplikasi penjadwalan media sosial berbasis website dengan menggunakan metode Rapid Application Development dan Unified Modeling Language (UML). Metode ini dipilih karena pengembangan dapat dilakukan dengan cepat melalui literasi yang melibatkan pengguna sehingga dapat memenuhi segala sesuatu yang dibutuhkan untuk menciptakan sistem yang optimal. Tahapan penelitian diawali dengan wawancara pengguna, dan nantinya data ini akan digunakan untuk mengembangkan prototipe desain UI awal yang dirancang menggunakan Figma. UML digunakan untuk memvisualisasikan model desain dan juga bagaimana sistem akan berjalan nantinya. Sistem ini diharapkan dapat membantu mempermudah dalam memposting konten media sosial.

Di era teknologi informasi saat ini, pengelolaan transaksi yang mudah dan efisien menjadi kebutuhan penting dalam dunia bisnis, baik skala kecil maupun besar. Rumah Makan Mie Happy merupakan salah satu usaha kuliner berskala menengah. Rumah Makan Mie Happy menyediakan olahan berbahan dasar mie. Dalam kesehariannya, Rumah Makan Mie Happy dapat melayani sekitar 100 konsumen, sehingga dalam proses pelayanannya membutuhkan kecepatan untuk melayani konsumen. Namun pada kenyataannya, Rumah Makan Mie Happy masih menggunakan pengolahan data dan pengelolaan transaksi secara manual, sehingga sering mengalami permasalahan seperti proses pembayaran yang lambat, sering kehilangan struk atau bukti pembayaran, kesulitan dalam melakukan rekapitulasi atau pelaporan transaksi baik harian maupun bulanan, dan sering terjadi kesalahan dalam proses perhitungan. Dari permasalahan yang dialami oleh Rumah Makan Mie Happy, penulis tertarik untuk mengembangkan sebuah aplikasi kasir berbasis web yang dapat membantu dalam segala hal yang berhubungan dengan pengelolaan transaksi di Rumah Makan Mie Happy. Penelitian yang dilakukan bertujuan untuk membangun atau mengembangkan sebuah aplikasi kasir Rumah Makan Mie Happy yang dapat meningkatkan efisiensi dan efektifitas pengelolaan transaksi. Aplikasi kasir ini dibangun atau dikembangkan dengan menggunakan Hypertext Markup Language (HTML) dan Hypertext Preprocessor (PHP) dengan code editor Visual Studio dan Database Management System (DBMS) MySQL. Hasil pengujian dengan black box testing menunjukkan bahwa aplikasi kasir yang dikembangkan secara fungsionalitas telah berjalan sesuai dengan yang diharapkan. Aplikasi kasir berbasis web ini memberikan kemudahan bagi admin dan meningkatkan efektifitas dan efisiensi kegiatan operasional.

Pemanfaatan teknologi informasi dalam proses bisnis suatu bidang usaha akan sangat membantu dalam hal pemrosesan transaksi, pengolahan data, analisis data, dan penyimpanan data. Proses bisnis yang masih belum menggunakan teknologi komputer memungkinkan banyak kendala yang terjadi, seperti kesalahan dalam proses pencatatan transaksi, kesalahan dalam proses perhitungan, kesulitan dalam proses penyimpanan dan pengolahan data, kesulitan dalam pembuatan laporan, dan lain sebagainya. CV. Athaya merupakan sebuah usaha retail yang berskala menengah. Dimana saat ini dalam melakukan kegiatan transaksinya masih menggunakan cara manual. Perhitungan yang dilakukan secara manual tentu saja sangat tidak efektif dan efisien. Selain itu, proses yang dilakukan secara manual rentan terjadi kesalahan dalam proses perhitungan, membutuhkan waktu yang lama dalam menyelesaikan transaksi terutama jika ada konsumen yang melakukan pembelian barang dalam jumlah yang banyak, mengalami kesulitan dalam menyusun laporan, mengalami kesulitan dalam proses rekapitulasi data transaksi, rentan terjadi kehilangan data transaksi, dan berbagai kendala atau kesulitan lainnya. Berdasarkan permasalahan tersebut, penelitian yang dilakukan memiliki tujuan untuk membuat rancangan sistem kasir pada CV. Athaya dengan menggunakan diagram UML. Tujuan dari perancangan sistem kasir ini adalah untuk memberikan gambaran mengenai sistem kasir yang akan dibangun kepada pengguna yaitu kasir pada CV. Athaya yang dapat mempermudah proses transaksi yang sedang berjalan, meningkatkan efektifitas dan efisiensi dalam pekerjaan kasir, mempermudah pengolahan data menjadi laporan yang diinginkan oleh pemilik usaha, meminimalisir kesalahan perhitungan, dan membantu dalam proses penyimpanan data.

The management of data collection of research activities, community service, and publications that occur at the National University of Karangturi Semarang is still done manually using Microsoft Excel, which still has various problems related to collecting, storing, searching, processing, and presenting data when needed for the accreditation process. Based on these problems, an information system is needed that can accommodate all the problems experienced by users. Therefore, an information system will be developed to manage all data related to research activities, community service, and publications carried out by lecturers and improve the efficiency of data management. System design is one of the stages of developing an information system. Simlitabmas design has two main objectives, namely to fulfill the needs of users and to provide a clear picture to all personnel involved in system development. System design is one of the important steps in a system development in which a visual representation of a series of processes or activities in an institution or organization is made. One of the modeling or design tools that can be used is the Unified Modeling Language (UML). UML helps describe and design systems, especially in object-oriented programming. In this research, UML diagrams made consist of use case diagrams, activity diagrams, and sequence diagrams.

Pengabdian kepada masyarakat ini bertujuan untuk memperkenalkan dan meningkatkan pemahaman tentang literasi keuangan dan manakemen keuangan  dalam beberapa hal mencatat transaksi keuangan antara lain harga beli pertama kali, harga waktu djual, selisih kerugian jika tidak laku, dan serta menghitung laba rugi keuntungan atau kerugian sederhana bagi para pelaku UMKM di sekitar Kelurahan Pendrikan Lor, Semarang Tengah, Kota Semarang. Pendekatan ceramah yang menggunakan media visual sebagai alat pendukung, dan dilengkapi dengan sesi tanya jawab, terbukti sangat efektif dalam menyampaikan materi tersebut.