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Analisis Kelayakan Industri Pupuk NPK di Kabupaten Madiun Dalam Penerapan Sistem Manajemen Lingkungan Berdasarkan ISO 14001:2015 Dengan Metode PDCA
This research aims to analyze the feasibility of implementing an environmental management system based on ISO 14001:2015 at one of fertilizer company in Madiun, a small and medium-sized enterprise engaged in the production of NPK fertilizers located in Madiun, East Java. The research method used is a descriptive qualitative approach employing the PDCA (Plan-Do-Check-Act) framework, with a focus on evaluating the implementation of clauses 4, 6, and 8 of the ISO 14001:2015 standard. The research findings indicate that the company has not yet fulfilled most of the essential requirements, with an average feasibility score of 1,37 out of a maximum of 5,00. Key issues identified include the absence of formal context analysis, lack of documented environmental aspects and impacts, absence of monitoring and evaluation of environmental performance, and no structured corrective actions. Although there are initial efforts in environmental control, such as the construction of an ammonia filtration pond using zeolite, the environmental management system implementation remains minimal and underdeveloped. Based on these findings, it is concluded that company is not yet eligible for ISO 14001:2015 certification without significant system improvements. Key recommendations include developing systematic environmental documentation, enhancing employee environmental awareness, strengthening environmental performance monitoring, and ensuring top management commitment toward continuous improvement
Klasifikasi Sertifikat Berdasarkan Mata Kuliah dalam Program Rekognisi Pembelajaran Lampau Berbasis NLP Menggunakan BERT
The rapid advancement of information technology has increased the demand for automated systems to recognize non-formal learning, particularly through the Recognition of Prior Learning (RPL) program. Competency certificates obtained from independent training programs are often not systematically integrated into academic curricula. This study aims to develop an automated classification model capable of categorizing certificates into relevant course subjects within the Informatics study program. Seven target course categories were defined, including Machine Learning, Web Programming, Interface Design, Computer Networks, Game Applications, Mobile Programming, and Project Management. The methodology includes extracting text from certificate documents in PDF format through Optical Character Recognition (OCR) using PyTesseract, followed by text praproses and data Augmentation to improve class distribution. The implemented
model is BERT (Bidirectional Encoder Representations from Transformers), evaluated in two configurations: bert-base-uncased and bert-base-multilingual uncased. Five data scenarios were tested: no Augmentation, Character Insertion, Character Deletion, Back Translation, and Synonym Replacement. Evaluation results indicate that the bert-base-uncased configuration with Synonym Replacement Augmentation yielded the best performance, achieving a validation accuracy of 95.54% and an F1-score of 0.97. These findings confirm the effectiveness of BERT for text classification in both Indonesian and English, and highlight the benefit of semantic-based Augmentation techniques in improving model generalization. As a practical implementation, this research also developed a prototype service using the Streamlit framework, enabling automated certificate classification through a user-friendly interface. The model and system developed are expected to support the efficient and accurate integration of non-formal competencies into academic programs
Anlisis Performansi Forecasting Harga Saham Amazon dengan Menggunakan Metode ARIMA, ANN, dan LSTM
Stocks are financial instruments issued by a Limited Liability Company (PT). Ownership of shares gives the buyer the right to the company as well. Many people try to buy and sell shares and make it a source of income. However, this also has risks such as requiring capital and can experience losses. Many people cannot understand the concept of shares, seek profit, read price movements, and predict future stock price movements. There are several techniques for predicting future stock price movements that have been developed for data movement prediction. ARIMA, ANN, and LSTM are methods used to analyze time series data and can be used to predict future values based on historical data. The purpose of this study is to compare the best methods that can be used to predict Amazon stock price movements. The results showed that the ARIMA Model had the best performance after comparing with ANN and LSTM with a division of 70% training data and 30% test data resulting in a MAPE value of 1.33% and RMSE 3.089
Pengaruh Sikap Keuangan, Gaya Hidup, dan Self Control Terhadap Perilaku Menabung Masyarakat di Kota Surabaya
Saving is one of the most important ways to improve people's financial well-being in the future. When people understand the benefits of saving, they will be better able to manage their finances wisely, which in turn has a long-term positive impact on their financial condition. This study aims to examine the influence of financial attitude, lifestyle, and self-control on saving behavior among people living in Surabaya City. This research uses quantitative method with variable measurement using Likert scale. The sampling technique used was simple random sampling, with a total of 180 respondents. To analyze data and test hypotheses, the Partial Least Square (PLS) method is used through SmartPLS software. The results of this study indicate that financial attitudes can contribute to people's saving behavior in Surabaya City, lifestyle can contribute to people's saving behavior in Surabaya City, and self-control can contribute to people's saving behavior in Surabaya City
PEMBUATAN INVENTORY WEB MENGGUNAKAN LARAVEL PT TJAKRINDO MAS
When a website developer has an idea for a new product, it is important to conduct a
thorough information systems analysis before the idea is realized. The initial idea usually
appears as a concept in someone's head or a rough sketch on paper. However, before the idea
is mass produced by the company, an initial version or sample of the product is usually created,
known as a prototype. At PT Tjakrindo Mas, systems analysts were given the opportunity to
develop an innovative website that focuses on information systems analysis. The aim of this
website is to benefit users by providing relevant resources and information in this area. The
"System Analyst IT" website development process is carried out by utilizing various
sophisticated web creation tools. These tools include programming languages such as HTML,
CSS, and JavaScript, as well as database management systems such as MySQL. In addition,
modern frameworks such as Laravel are used to ensure development runs efficiently and the
final result meets expectations. By utilizing this technology, the system analysts at PT Tjakrindo
Mas were able to complete the "System Analyst IT" website development project optimally.
This site is designed to help users find recommendations regarding the best tools,
techniques, and methodologies in information systems analysis. The development of this
website included not only the creation of an initial prototype but also further refinement so that
the site could become a comprehensive and useful resource for users. In the end, this project
became part of the Field Work Practice which aims to provide practical and in-depth
experience in developing websites that can meet user needs. Through continuous development,
it is hoped that the "IT System Analyst" website can become a reliable guide in information
systems analysis
Pengembangan Desa Wisata Keling Menggunakan Penerapan Community Based Tourism (CBT) Di Kecamatan Kepung Kabupaten Kediri
The tourism industry in rural areas can have an impact on various aspects for both the community and the government. Tourism development in a village is one of the pillars in developing cultural tourism because tourism development also contributes to preserving the culture and resources in the village. Community Based Tourism is one form of effort to improve the tourism industry. This study aims to determine the application of Community Based Tourism in the development of Keling Tourism Village in Keling Village, Kepung District, Kediri Regency. This study uses a descriptive qualitative approach. Community Based Tourism is expected to play a significant role in the growth of Keling Tourism Village in Keling Village, Kepung District, Kediri Regency, and this study will provide a comprehensive picture of its application in this context. The results of this study found that the planning stages of the development of Keling Tourism Village had not involved all communities. At the implementation stage of development, there was a clear division between the village government and the community. The support from the BPD institution in the implementation stage established good communication between managers. The presence of Keling Tourism Village has more or less had an impact on the surrounding community both in terms of economy and socio-culture. However, the implementation of CBT in Keling Tourism Village has been implemented quite well but not optimally.
Keywords: Community Based Tourism; Keling tourist village;Local Community Participation; Tourism Development
OPTIMASI PROSES EKSTRAKSI PEKTIN DARI KULIT RAMBUTAN (Nephelium lappaceum) MENGGUNAKAN PULSED ELECTRIC FIELD (PEF) DENGAN METODE RESPONSE SURFACE METHODHOLOGY (RSM)
Rambutan peel is a waste that is less optimized, containing cellulose, hemicellulose, and pectin. Pectin is a polygalacturonate that can be used as an emulsifying agent. Pectin extraction can be carried out using Pulsed Electric Field (PEF), which has the advantages of short extraction duration and relatively low temperature application. The purpose of this study is to obtain the best combination of treatments (electric field strength, extraction time, and solvent ratio) in PEF-assisted extraction to optimize pectin from binjai rambutan peel. The method applied is One Factor at a Time (OFAT) in the preliminary experiment, and Response Surface Methodology (RSM) in the optimization stage. Preliminary test data were analyzed by analysis of variance using Duncan Multiple Range Test (DMRT) at α 5%. Optimization data were analyzed using Design Expert 13 with Central Composite Design (CCD) type. Optimum pectin was obtained under extraction conditions of 20 kV/cm electric field strength, 12.69 minutes extraction time, and 1:30 b/v solvent ratio, resulting in pectin with 4.37% yield, 676.81 mg equivalent weight, 8.76% methoxyl content, 75.72% galacturonic acid content, 65.66% degree of esterification, 9.78% moisture content, and 4.98% ash content. Optimum pectin is classified into High Methoxyl Pectin (HMP) based on the International Pectin Procedure Association (IPPA) standard. Further analysis includes pectin functional groups using Fourier Transform Infrared Spectroscopy (FTIR) and material damage using Scanning Electron Microscope (SEM). Optimum pectin has O-H, C-H, C=O, C-H₃, and -O- functional groups in the FTIR test, which are in accordance with the characteristics of commercial pectin and literature. SEM test results showed that the use of PEF caused damage to the surface of rambutan powder
Evaluasi Keberhasilan Aplikasi Mobile JKN dalam Meningkatkan Kepuasan Pengguna dengan Model DeLone & McLean
The Mobile JKN application is a digital service provided by BPJS Kesehatan to facilitate the public in accessing information and managing membership administration independently. In this thesis, the success of Mobile JKN application usage is evaluated through six main variables based on the DeLone and McLean model: system quality, information quality, service quality, intention to use, user satisfaction, and net benefits. This study aims to evaluate the success of the Mobile JKN application in enhancing user satisfaction using the DeLone and McLean model. A quantitative approach is applied with the Partial Least Squares-Structural Equation Modeling (PLS-SEM) method. The minimum number of respondents is determined using the Lemeshow formula, resulting in 384 participants; however, this thesis involves 400 respondents selected through purposive sampling, with the criteria being active users who regularly use the latest version of the Mobile JKN application. All data are analyzed using SmartPLS 4 software. The results show that system quality and information quality have a significant effect on user satisfaction and intention to use. Additionally, user satisfaction is proven to have a significant influence on the perceived net benefits. These findings indicate that the success of the Mobile JKN application is more determined by technical aspects and direct user experience rather than the quality of service provided