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Increasing technological developments require many parties to always adjust to all kinds of changes that will occur in the future, both economic conditions, government regulations, consumer conditions, and conditions of competitors. The way companies communicate with their investors has also changed, as a result of the rapid development of the internet. The internet that companies use to report financial information to investors is called Internet Financial Reporting (IFR). Today, IFR has been put forward by most countries because it can minimize the negative effects of information asymmetry, reduce agency costs, reduce capital costs, and increase firm value. Companies in achieving their goals are faced with uncertain conditions. The purpose of this study is to find out how the differences between IFR and ERM in commercial banks in Indonesia with high and low market capitalization values. This research is a non-static analytical descriptive study. The sample used is only two commercial banks to be compared. The results of the comparative analysis carried out showed that there was no significant difference in the implementation of IFR, but in the implementation of ERM there were significant differences.  

A house for every human being is the main and most important need compared to others needs in general. A financial institution is an institution engaged in the financial sector where its customers are people from various walks of life with various behaviors. Lending is a business activity that carries a high risk and affects the business continuity of a banking company. The problem that is often faced in providing home loans is determining the decision to extend credit to prospective customers, while another problem is that not all home loan payments by customers can run well or commonly known as bad credit. One of the causes of bad credit is an assessment error in making credit decisions. Data mining is a process used to analyze cases in order to find the best performance of an algorithm being tested. One way to get information or patterns from a large data set is to use techniques in data mining. There are many classification methods that can be used to produce precise accuracy values. In this study, two classification algotihm methods are used in classifying the home crediting dataset, namely the C4.5 decision tree algorithm and the Naïve Bayes algorithm. The comparison of the two algorithms produces an accuracy value fo the Naïve Bayes algorithm of 36.36% and the Decision Tree C4.5 algorithm has an accuracy rate of 59.54%.

AbstractCikiwul is a village located in Bantargebang district. Where the Bantargebang location is a final waste collection site which is the main disposal site for around 6,500 tons of waste per day from all over Jakarta. Plastic bag waste is a serious enemy for environmental sustainability. The difficulty in breaking down makes plastic waste need proper handling so that it does not accumulate. One way is to do an ecobrick. Ecobrik is a plastic waste management method that is very easy for everyone to do and has a very high impact on environmental conservation. We do community service by disseminating the benefits of ecobricks, as well as providing training on how to do ecobricks together with Cikiwul residents. Training using the zoom platform, adapting to current conditions, activities are carried out by discussing and providing training videos on how to make ecobricks. It is hoped that this activity can reduce plastic waste, which its usefulness can be maximized into new objects that have useful values.AbstrakCikiwul merupakan salah satu kelurahan yang berada pada kecamatan Bantargebang. Di mana lokasi Bantargebang merupakan tempat penampungan sampah akhir yang menjadi tempat utama pembuangan sekitar 6.500 ton sampah per hari dari seluruh wilayah Jakarta. Sampah kantong plastik menjadi musuh serius bagi kelestarian lingkungan hidup. Kesulitan dalam terurai, menjadikan sampah plastik perlu penanganan yang tepat agar tidak semakin menumpuk. Salah satu caranya adalah dengan melakukan ecobrick. Ecobrik merupakan metode pengelolaan sampah plastik yang sangat mudah dilakukan setiap orang dan sangat tinggi pengaruhnya bagi pelestarian lingkungan. Pengabdian masyarakat yang kami lakukan dengan mensosialisasikan manfaat ecobrick, serta memberi pelatihan cara melakukan ecobrick bersama dengan warga Cikiwul. Pelatihan menggunakan platform zoom, menyesuaikan dengan keadaan saat ini, kegiatan dilakukan dengan berdiskusi dan memberikan video pelatihan cara pembuatan ecobrick. Diharapkan dengan adanya kegiatan ini, dapat mengurangi sampah plastik, yang dimaksimalkan kegunaannya menjadi benda baru yang memiliki nilai guna.Â

Recent technological developments determine humans to be creative in creating tools that implement technology in it with the aim of facilitating human tasks in daily activities. Inappropriate use of fertilizers can cause losses, both losses on fertilizer, on plants, as well as on the soil and the environment around fertilization. Losses on plants such as unhealthy plant growth and susceptible to disease pests, plant yields are not as expected or low. From the background above, the writer found an idea to create a system or tool that can help farmers in determining the dose of Nitrogen fertilizer in their rice plants, through the storage of the dosage data of each land. The user did five scans, from each scan producing RGB values, each RGB value from five samples was then matched with the BWD dose color indicator. The sample dose results are then sent by the NodeMcu microcontroller to the webserver database. Based on the assessment of the test conducted by 10 Users by Gapoktan Farmers Group of Tosari Kendal Village, the total value of 372 that has been averaged to be 37.2 is between 31 - 40 which is classified in the category of "Very Valid or Very Effective".

The community's need for electricity is getting higher, so alternative energy sources such as solar heat are needed to replace energy sources from fossil fuels in meeting electricity needs. In this paper we design a two-axis solar tracker with an LDR sensor. A sun tracking system is a unit that is combined into one to control the position of the tracking device with the aim of making the surface of the solar panel module always facing the direction of sunlight. This research discusses the Prototype of the Sun Tracking System in Arduino Based Solar Power Generation Systems to get maximum solar energy. This system will make solar panels move automatically so that sunlight absorption can be maximized. The main control uses Arduino nano which gets input values ​​from the LDR sensor then is processed to the output system. With the control system method can automatically be seen the difference in the results of a fixed solar panel with a solar panel with a tracker, from the comparison we get a solar panel with a tracker to get more optimal results.  

Yoghurt merupakan salah satu produk fermentasi yang menggunakan susu sebagai bahan dasar. Penelitian ini menggunakan bahan dasar susu nabati yang berasal dari kacang gude ekstrak umbi bit sebagai bahan tambahan. Tujuan penelitian ini adalah untuk menentukan rasio kacang gude kering dan ekstrak umbi bit yang tepat untuk menghasilkan yoghurt kacang gude yang mempunyai aktivitas antioksidan tinggi dan untuk menentukan tingkat penerimaan konsumen terhadap yoghurt kacang gude dengan penambahan ekstrak umbi bit. Rancangan percobaan yang digunakan yaitu Rancangan Acak Lengkap (RAL) dengan faktor pertama yaitu kacang gude kering sebesar 20%, 30%, 40% dan faktor kedua yaitu ekstrak umbi bit 5%, 10%, 15%. Analisis kimia yaitu analisis aktivitas antioksidan, gula total, protein, total asam, dan lemak. Analisis organoleptik yaitu warna, kekentalan, rasa asam, flavor kacang gude dan kesukaan keseluruhan. Hasil penelitian menunjukkan bahwa perlakuan 20% kacang gude kering dan ekstrak umbi bit 15% adalah perlakuan terbaik yang didasarkan pada kesukaan keseluruhan yang terdapat pada yoghurt. Dari komposisi tersebut terdapat aktivitas antioksidan DPPH 58,35%, kadar gula 2,77%, kadar protein 39,90%, total asam 1,17%, dan kadar lemak 0,19%. Sedangkan yoghurt yang memiliki aktivitas antioksidan tertinggi didapatkan pada komposisi 30% kacang gude dan ekstrak umbi bit 15% dengan nilai aktivitas antioksidan sebesar 65,23%. Pada perlakuan ini mengasilkan kadar gula 2,80%, kadar protein 46,96%, total asam 1,26%, dan kadar lemak 0,11%. Kata kunci: Kacang gude, ekstrak umbi bit, yoghurt, aktivitas antioksidan ABSTRACT Yogurt is one of the fermented products that used milk as a basic ingredient. This research used basic ingredients of vegetable milk derived from pigeon peas and used beet root extract as an additional material. The purpose of this study was to determine the ratio of dried pigeon peas to water and beet root extract that are appropriate for producing pigeon peas yogurt that had high antioxidant activity and to determine the level of consumer acceptance of pigeon peas yogurt with the addition of beet root extract. The experimental design used the Completely Randomized Design (CRD) with the first factor was dried pigeon peas of 20%, 30%, 40% and the second factor were beet root extract 5%, 10%, 15%. The chemical analysis was antioxidant activity, total sugar, protein, total acid, and total fat. Organoleptic analysis of color, viscosity, sour taste, flavor of pigeon peas and overall preference. The results showed that the combination treatment of 20% dried pigeon peas and 15% beet root extract was the best treatment. From the composition there is DPPH antioxidant activity 58,35%, 2,77% sugar content, 39,90% protein content, 1,17% total acid, and 0,19% fat content. Whereas yogurt with the highest antioxidant activity was found in the composition of 30% pigeon peas and 15% beetroot extract with antioxidant activity values of 65,23%. In this treatment yielded 2,80% sugar content, 46,96% protein content, 1,26% total acid, and 0,11% fat content. Keywords: Pigeon pea, beet root extract, yoghurt, antioxidant activity