<p><span>Penilaian saham merupakan suatu hal penting yang perlu dilakukan bagi investor dalam melakukan kegiatan investasinya. Hal ini dilakukan dengan tujuan untuk meminimalisir risiko dan memaksimalkan keuntungan yang merupakan syarat dan karakteristik saham <em>hight risk</em> – <em>hight return</em>. Investor dapat melakukan penilaian saham secara fundamental yaitu dengan memperhatikan kondisi kinerja keuangan sebagai dasar untuk pengambilan keputusan. Penelitian ini dilakukan untuk mengetahui harga wajar suatu saham pada perusahaan subsektor perbankan pada periode 2021. Penilaian saham dilakukan berdasarkan dua pendekatan yaitu <em>Dividen Discount Model</em> dan <em>Price Earning Ratio</em>, dari 47 perusahaan subsekektor yang terdaftar sebanyak 12 perusahaan memenuhi kriteria dan dipilih sebagai sampel. Hasil penelitian menunjukkan bahwa dari 12 perusahaan terpilih, terdapat 10 perusahaan yang berada dalam kondisi undervalued dan 2 perusahaan yang berada dalam kondisi <em>overvalued</em>. Dalam kondis <em>undervalued</em> invetor dapat mengambil keputusan dengan membeli saham tersebut, sedangkan pada perusahaan yang berada pada <em>overvalued</em> invetor dapat menjual saham.</span></p><p><span><em>Stock valuation is an important thing that needs to be done for investors in carrying out their investment activities.</em><em>  This is with the aim of minimizing risk and maximizing profits which are the terms and characteristics of hight risk – hight return.  Investors can make stock valuation fundamentally by taking into account the condition of financial performance as a basis for decision making. This research was conducted to determine the fair price of shares in banking sub-sector companies in the 2021 period. Stock valuation was carried out based on two approaches, namely the dividend discounted model and the price earning ratio, of the 47 registered sub-sector companies, 12 companies met the criteria and were selected as samples. The results showed that of the 12 companies selected, there were 10 companies that were undervalued and 2 companies that were overvalued. In undervalued conditions, investors can make decisions by buying these shares, whereas in overvalued companies, investors can sell their shares.</em></span></p><p><span><br /></span></p>

In Bad Stock (BS) control at PT Sari Roti Semarang, it is crucial to reduce the company's significant losses. However, the selection of rejected and returned bread with poor quality is still prevalent. Based on production data and the amount of bad stock (a collection of returned bread from stores and rejected production), a decision support system for controlling bad stock using Fuzzy Tsukamoto is needed. In this decision support system, three variables are modeled: production, store returns, and production rejects. The production variable consists of two fuzzy sets: increase, remain the same, and decrease. The store returns variable consists of two fuzzy sets: decrease, remain the same, and increase. The production rejects variable consists of three fuzzy sets: few, normal, and many. The membership values are only two values, 0 and 1, while the membership values in the fuzzy sets are closed intervals [0,1]. By combining all these fuzzy sets, three fuzzy rules are obtained, which are then used in the inference stage. In the inference stage, the membership value of the antecedent (?) and the estimated amount of production (z) are found for each rule. The amount of rejected production (Z) is obtained by centered average defuzzification.
The research results based on expert validation testing indicate that the obtained values are in the range of 2.51-3.25, which is categorized as valid or good. Meanwhile, the validation testing from users indicates that the obtained value of 3.4 is in the range of 3.26-4.00, which is categorized as highly valid. The effectiveness testing of the system's performance results in an average value of 89.5%.

Penelitian ini bertujuan untuk mengetahui faktor-faktor yang dapat meningkatkan kinerja yang dimiliki staff Universitas PGRI khususnya staff yang mendukung kegiatan akademik.. Sampel dalam penelitian ini seluruh karyawan kependidikan Universitas PGRI Semarang berjumlah 106 orang yang diambil dengan metode sensus. Analisis yang digunakan berupa analisis regresi berganda dalam SPSS. Hasil penelitian menunjukkan bahwa untuk meningkatkan kinerja karyawan adalah dengan meningkatkan penggunaan teknologi informasi yang baik, menguatkan karakter individu serta menjaga motivasi karyawan. Sementara motivasi kerja tercipta karena adanya budaya kerja yang baik, penggunaan teknologi informasi didukung oleh karakteristik Individu yang baik. Hal ini sesuai dengan pembuktian hipotesis yang menunjukkan hasil bahwa penggunaan teknologi informasi, budaya kerja dan karakteristik individu berpengaruh terhadap motivasi serta penggunaan teknologi informasi, motivasi dan karakteristik individu berpengaruh terhadap kinerja karyawan. Motivasi dapat berperan sebagai mediasi hubungan antara penggunaan teknologi informasi dan karakteristik individu terhadap kinerja karyawan.

Tujuan penelitian ini adalah menganalisis pengaruh budaya hirarki, dan kompetensi teknis terhadap komitmen berkelanjutan dan altruisme pegawai Politeknik Ilmu Pelayaran Semarang. Populasi yang dipilih pada penelitian ini adalah seluruh pegawai Politeknik Ilmu Pelayaran Semarang. Jumlah responden yang digunakan dalam penelitian ini sebanyak 124 orang pegawai Politeknik Ilmu Pelayaran Semarang. Teknik pengambilan sampel dalam penelitian ini adalah metode sensus. Metode pengumpulan data adalah dengan menggunakan kuesioner. Metode analisis data yang digunakan adalah Structural Equation Modelling. Berdasarkan penelitian, budaya hirarki, dan kompetensi teknis berpengaruh positif terhadap komitmen berkelanjutan. Budaya hirarki tidak berpengaruh terhadap altruisme pegawai Politeknik Ilmu Pelayaran Semarang. Kompetensi teknis dan komitmen berkelanjutan berpengaruh positif terhadap altruisme pegawai Politeknik Ilmu Pelayaran Semarang.

One of the most vital senses for humans is sight. Humans utilize their eyes to take in visual information that is used for a variety of tasks, but vision problems are prevalent, ranging from minor disorders to serious disorders that can result in blindness. Cataracts are one of the factors contributing to this vision loss. In Indonesia, cataracts alone account for 81 percent of cases of blindness, and 40 percent of those affected don't even realize they have them. A technique for early cataract identification using digital photographs is one way to lower the incidence of cataract-related blindness. We used Support Vector Machine (SVM) and Convolutional Neural Network (CNN) techniques to create a cataract detection system. These two techniques are used to categorize normal eye classes, immature cataracts, and mature cataracts. A digital image that has been downsized to 64x64 pixels in Joint Photographic Group (JPG) format that was taken from earlier study serves as the input data. Support Vector Machine (SVM) and Convolutional Neural Network (CNN) methods used in the cataract detection process provide optimal results. The Support Vector Machine (SVM) method itself produces an accuracy value of 96.67%, while the Convolutional Neural Network method produces a better accuracy value of 98.89%.
Keywords: Cataract, Digital Image, Machine Learning, Support Vector Machine, Convolutional Neural Network

Indonesian language learning is a national language learning that is closely related to national values. Until now, learning Indonesian is used as a main subject in an educational institution. The role of Indonesian in learning at the junior high school level is expected to be able to realize the profile of Pancasila students who are instilled through national values in learning Indonesian. Therefore, the research conducted included an educational institution, namely a junior high school with an area coverage in Surakarta. This article aims to focus on the integration of national values in Indonesian language learning to realize the Pancasila Student Profile at the junior high school level in the Surakarta region. This article uses a qualitative method using field note data that has been made. The data source for this article is field note data from the results of the implementation of junior high school students in the city of Surakarta.

The need for information for Sukoharjo Village is still lacking, Sukoharjo Village still provides information and makes complaints using conventional methods. This conventional method causes slow response and lack of monitoring and evaluation from village officials. This research aims to design a website-based Sukoharjo village profile information system. This research uses the waterfall method which starts from the analysis, design, coding and testing stages. Meanwhile, several methods in the data collection process were observation, interviews and literature study. And for the system testing method, black box testing is used with system design using UML (Unified Modeling Language). This village profile information system can disseminate information about Sukoharjo Village, especially about the village, organizational structure, population data and can make complaints online which can be accessed via devices owned by visitors.

This Studies aims to examine the analysis of the effect of government social assistance and financial literacy on students affected by COVID-19. This research is a policy research. The method used in this research is descriptive qualitative with evaluative data and literature studies. In this study, literature was obtained from information that developed in the news related to the distribution of government social assistance and financial literacy information circulating among Telkom University students affected by Covid-19.

Tujuan dari penelitian ini adalah untuk menganalisa reposisi pelaksanaan penyelesaian sengketa perdata dengan gugatan sederhana (small claim court). Hal ini yang menjadi urgensi penulis memfokuskan untuk memberikan rekomendasi kepada pengadilan sebagai evaluasi agar melaksanakan sesuai   dengan Perma No.4 tahun 2019. Metode Penelitian ini menggunakan Yuridis Normatif. Kebaharuan penelitian ini terletak pada penyimpangan ketentuan dalam Perma No. 4 tahun 2019 yang tidak dijalankan Pengadilan sehingga perlu dilakukan reposisi untuk menata kembali. Berdasarkan hasil penelitian menunjukkan   pelaksanaan penyelesaian sengketa perdata dengan gugatan sederhana (small claim court) meliputi tahapan pendaftaran, pemeriksaan kelengkapan gugatan sederhana, penetapan hakim dan penunjukkan panitera pengganti, pemeriksaan pendahuluan, penetapan hari sidang dan pemanggilan para pihak, pemeriksaan sidang dan perdamaian, pembuktian dan putusan diselesaikan dalam waktu paling lama 25 (dua puluh lima) hari sejak sidang pertama. Apabila ada yang keberatan dengan putusan tersebut dapat mengajukan memori keberatan diselesaikan dalam waktu 7 (tujuh) hari.  The purpose of this study is to understand the repositioning of Civil Dispute Settlement Implementation with a Simple Claim (Small Claim Court). This is the urgency of the author to focus on providing recommendations to the court as an evaluation in order to carry out in accordance with Perma No. 4 of 2019. This research method uses normative juridical. The novelty of this research lies in the deviation of the provisions in Perma No. 4 of 2019 which was not carried out by the Court so it needed to be repositioned to reorganize. Based on the results of the study, it shows that the Implementation of Civil Dispute Settlement With a Simple Claim (Small Claim Court) includes the registration stage, examination of the completeness of a simple lawsuit, determination of the judge and appointment of a substitute clerk, preliminary examination, determination of the day of trial and summons of the parties, examination of the trial and reconciliation, evidence and decision completed within a maximum of 25 (twenty-five) days. since the first trial. If there are objections to the decision, they can file a memorandum of objection to be resolved within 7 (seven) days.

The purpose of this study was to notice and analyze the increase of employee productivity by the approach occupational health and working environment safety in supporting Business Sustainability PT. Morich Indo Fashion. The research method used was quantitative. The population in this study were all employees of PT. Morich Indo Fashion Karangjati Semarang Regency Quality Control section. The sample used was 72 using the proportional random sampling which was carried out randomly without regard to the existing strata in the population. The analysis used in this study was multiple linear regression analysis. The findings of this study as follows the influence of the role of occupational health and safety and work environment significantly on work productivity. This meant that the role of occupational health and safety and the work environment was positive and significant to the work productivity of PT. Morich Indo Fashion. In sum, the sustainability of the company’s business became more guaranteed.