Usaha Mikro Kecil dan Menengah (UMKM) merupakah salah satu unit usaha yang berperan cukup penting pada sektor perekonomian Indonesia. Banyaknya UMKM yang tetap eksis meskipun perekonomian nasional sedang lesu membuat UMKM menjadi unit bisnis yang dapat mengurangi pengangguran. Penelitian ini bertujuan untuk mengetahui permasalahan UMKM dalam melakukan pencatatan adminstrasi. Untuk itu dilakukan pendekatan kualitatif dengan mengambil sampel sebanyak 12 UMKM yang memproduksi kerupuk mentah di Kecamatan Krembung. Teknik pengumpulan data menggunakan metode wawancara terstruktur. Berdasarkan hasil wawancara diketahui bahwa sebagian UMKM tidak melakukan pencatatan administrasi dengan baik, sehingga UMKM sering keliru pada proses produksi. UMKM berkeinginan untuk dapat melakukan pencatatan adminstrasi yang baik. Untuk itu dirancang sistem informasi produksi yang dapat dapat menyimpan data konsumen, dapat mencatat pesanan sekaligus melakukan pengecekan kemampuan produksi untuk pesanan tersebut. Selain itu dengan sistem yang baru pemilik dapat mengetahui jadwal produksi sesuai tanggal pengambilan, mengetahui stok barang (kerupuk) dan bahan baku, melihat detail pemesan (nama, asal daerah, tanggal pemesanan, tanggal pengambilan, jenis dan jumlah kerupuk), dan jumlah kelebihan kerupuk. Dengan sistem ini UMKM dapat melihat status pembayaran, apakah pelanggan sudah membayar lunas atau kurang bayar, jika kurang bayar akan terlihat berapa kekurangan yang harus dibayar pelanggan.

Abstract-Volume is an important factor to determine the external quality of a food product. The volume measurement of food product is not a simple process if it is performed manually. For alternative, several volume measurement methods for food products have been proposed using 2D and 3D computer vision. Disk method and frustum cone method have been applied in many 2D computer visions to approximate the volume of axisymmetric food products. These methods were less in accuracy, since it used piecewise linear function to approximate the boundary of the object. This paper aims to propose a new framework for measuring the volume of axisymmetric food product based on cubic spline interpolation. Cubic spline interpolation is employed to construct a piecewise continuous polynomial of the boundary of object from captured image. The polynomial is then integrated to approximate the volume of the object. The simulation result shows that the proposed framework produced accurate volume measurement result.

Meme is a new form of content in social media. A meme contains sentiment towards a particular issue, product, person, or entity. Memes can be in the form of text, images, or images that contain text. Memes are entertaining, critical, sarcastic, and may even be political. Traditional sentiment analysis methods deal with text. This study compares the performance of four sentiment analysis methods when used on Indonesian meme in the form of text and images that contain text. Firstly, the extraction of text memes was carried out, followed by the classification of the extracted text memes using supervised machine learning methods, namely Naïve Bayes, Support Vector Machines, Decision Tree, and Convolutional Neural Networks. Based on the experimental results, sentiment analysis on meme text using the Naïve Bayes method produced the best results, with an accuracy of 65.4%.

Energy management, one of energy conservation, is activities in organizing data collection, analyzing, planning, implementing, monitoring, and evaluating energy use. The increasingly limited supply of energy raises the demand to think about how to use the lights so that the breakeven point of the product used can be optimally utilized. The basic principle is the efficient and rational use of energy without reducing the use of energy that is really necessary, in other words the use of needsbased. The scope of this study is limited to the calculation of the breakeven point of the use of 3 brands of LED lamps used for lighting that support the conservation of electrical energy. In the calculation of the break-even point, it is necessary to study the most efficient lamp brand. Therefore, in this study the efficiency level will be calculated using three different brands of LED lights, namely brands A, B and C. The study was conducted by noting the use of electrical energy for lighting on a space in the TG building that was turned on for 8-9 hours every day. The measurement results state that LED B-brand lamps are economically more sparingly 55% each month compared to other brands, and operational cost advantage occurred in the 78th month while other brands occurred in the 91st month..