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STATUS KINERJA PENGELOLAAN LINGKUNGAN HIDUP SKPL: TINJAUAN LINGKUNGAN DAN KEPATUHAN REGULASI PADA SALAH SATU INDUSTRI BESI DI SIDOARJO OLEH DLHK SIDOARJO
No full textKINETIKA REAKSI PERTUMBUHAN BAKTERI PSEUDOMONAS FLUORESCENS PADA PROSES FERMENTASI AIR LINDI
No full textLeachate is a liquid waste generated from the decomposition of solid waste in landfill sites, which has the potential to pollute the environment due to its high content of organic matter and heavy metals. This study aims to analyze the growth kinetics of Pseudomonas fluorescens and the physical characteristics of leachate after the fermentation process. The fermentation was carried out aerobically for 8 days with variations of bacterial inoculum volumes of 5 mL, 7 mL, and 10 mL in 100 mL of leachate. The observed parameters included pH, temperature, C-organic concentration, and bacterial colony count. The results showed a significant increase in bacterial growth during the logarithmic phase, following a linear relationship between ln(CA0/CA) and ln(CC/CC0). The determination coefficient (R²) values were
close to 1, indicating good conformity with the microbial growth kinetics model. In addition, there was a reduction in C-organic and heavy metal contents, as well as changes in the physical characteristics of the leachate, indicating improved quality of the fermentation product. Therefore, leachate fermentation using Pseudomonas fluorescens has the potential to reduce environmental pollution and enhance the usability of leachate as an environmentally friendly processed product
SISTEM INFORMASI BERBASIS WEB UNTUK PENGELOLAAN JADWAL PEKERJAAN DI PT TEMPRINA MEDIA GRAFIKA SURABAYA
No full textPT Temprina Media Grafika Surabaya, one of the largest printing
companies in Indonesia, faces challenges in managing job schedules manually. The
current management methods, which rely on spreadsheets or instant messaging for
communication, often lead to inefficiencies, recording errors, and a lack of
information transparency. To address these issues, a web-based information system
was developed to enhance job scheduling efficiency, facilitate inter-division
communication, and streamline workflows.
The system was built using the CodeIgniter 3 framework with a Model-View-
Controller (MVC) architecture to ensure structured and maintainable code
management. A MySQL database was employed to securely and efficiently store
and manage job-related data, while the system interface was designed responsively
with Bootstrap to deliver an optimal user experience. Key features of the system
include job schedule management, such as adding, editing, deleting (CRUD), and
real-time job status tracking. Additionally, data validation mechanisms were
implemented to minimize input errors, and system-based notifications were
incorporated to remind users of scheduled tasks.
The development process followed several main stages: requirement
analysis, system design, feature implementation, and testing. The requirement
analysis phase involved direct observation at PT Temprina Media Grafika to
understand workflow and challenges. System design was represented using use case
and sequence diagrams to map user interactions with the system. The
implementation phase included coding core modules, component integration, and
database configuration. The system underwent functional testing to ensure features
met specifications and was tested in a real work environment to validate its
alignment with the company’s operational needs.
The development results demonstrated that the web-based information
system effectively improved job scheduling efficiency, reduced errors caused by
manual records, and provided faster and more transparent data access for
employees and management. Additionally, the system enabled systematic storage of
historical job data, which is valuable for future performance analysis and
evaluation.
Further development could include implementing scheduling automation
using specific algorithms or integrating third-party services, such as reminders via
SMS or email. This would allow the system to evolve continuously, contributing
significantly to the digitalization of work processes at PT Temprina Media Grafika
Ekstraksi Logam Pb Pada Kupang Merah Menggunakan Sari Belimbing Wuluh
No full textRed kupang (Musculista senhausia) is onc of the protein-rich fisheries resources that is widely consumed by the population. However, red kupang contains a significant amount of heavy metal. This can be harmful to people if consumed in the long term and not processed properly. The boiling method that has been used to remove heavy metals is not effective, especially for reducing the levels of lead (Pb), which is difficult to dissolve in water. The accumulation of lead (Pb) in red kupang can be reduced by extracting it using citric acid, a chelating agent. This study aims to determine the effect of differences in citric acid concentration (0.5%v/v, 1%v/v, 1.5%v/v, 2%v/v, and 2.5%v/v) from starfruit juice solvent and stirring speed (150 rpm, 180 rpm, 210 rpm, 240 rpm, and 270 rpm) in the solid-liquid extraction method (leaching) on lead (Pb) levels in red kupang. Analysis of lead (Pb) levels was carried out using AAS. The analysis results showed that the levels of lead (Pb) tended to decrease as the
stirring speed and citric acid concentration increased. The best results were obtained at a citric acid concentration of 2.5%v/v and a stirring speed of 210 rpm, which resulted in a residual lead (Pb) levels of 0.251 mg kg. The results are in accordance with SNI 7387:2009, which states that the limit for lead metal contamination in food is 1.5 mg/kg
Penerapan Model CEEMDAN-LSTM dengan Optimasi Bayesian Dalam Prediksi Indeks Standar Pencemar Udara di DKI Jakarta
No full textPoor air quality can have a negative impact on respiratory health, making the development of a prediction system essential as a risk mitigation effort. However, the Air Pollution Standard Index (ISPU) data tends to be highly fluctuating, making it difficult to predict accurately. To address this issue, the CEEMDAN decomposition method and the LSTM model were employed. Hyperparameter selection was carried out using the Bayesian optimization technique. The research results show that the combination of CEEMDAN and LSTM achieved an RMSE of 13.84, MAE of 10.71, and MAPE of 12.02%. These results indicate an improvement in performance compared to the baseline LSTM model without decomposition and optimization. With an 80:20 dataset split and the use of the Adam optimizer, the model achieved the best evaluation results, indicating an optimal balance between learning capability and generalization. The Adam optimizer proved effective in accelerating convergence and stabilizing the training process on the given dataset. The study also revealed that the use of Bayesian optimization for hyperparameter tuning did not yield a significant performance improvement compared to manual hyperparameter selection. Overall, the CEEMDAN-LSTM model proved effective in improving ISPU prediction accuracy, making it a promising tool for mitigating risks associated with poor air quality
Pengaruh Concentrated Ownership, Kepemilikan Manajerial dan Struktur Modal terhadap Kinerja Keuangan Perusahaan (Perusahaan Perbankan yang Terdaftar di BEI Tahun 2020-2023)
No full textThis study aims to analyze the effect of concentrated ownership, managerial ownership, and capital structure on the financial performance of companies in the banking sector listed on the Indonesia Stock Exchange (IDX) during the period 2020–2023. This study provides empirical insight into how ownership structure and funding policies affect company profitability amid economic dynamics and competition in Indonesia's banking
industry. A quantitative approach was used with panel data
regression analysis through EViews version 13 based on
secondary data sourced from the annual financial reports of
the sample companies. Concentrated ownership variable is
measured by the percentage of the largest shareholding by
institutions. The managerial ownership variable is measured
by the proportion of shares owned by management. Capital
structure is represented by the DER ratio. Financial performance is measured using the ROA profitability ratio.
The results show that concentrated ownership and capital
structure have a significant effect on company financial
performance, but managerial ownership has no effect.
Keywords: Financial Performance, Concentrated Ownership,
Managerial Ownership, Capital Structur
Pengembangan Gim Edukasi Sejarah Pertempuran Tiga Hari di Surabaya Dengan Pendekatan Branching Narrative Gauntlet Dan Physics-Based Puzzle
Get PDFThis research aims to develop an educational history game titled “The Three-Day Battle of Surabaya” using the Branching Narrative approach. The game is designed to enhance students’ interest and understanding of historical events through interactive experiences that allow players to influence the storyline based on their decisions. The Interactive Digital Narrative (IDN) model is used in the development process, which uses the Unity game engine with C# programming language and the stages of requirements, general design, detailed design, development, and testing. The learning effectiveness was evaluated using pre-test and post-test, while user satisfaction was measured through the GUESS-18 questionnaire. The results show an increase in the average pre-test score from 32.59 to 61.85 in the post-test, with a percentage improvement of 89.77% and a normalized gain value of 0.434, categorized as “moderate.” Additionally, the user satisfaction results fall into the “satisfied” category. Therefore, the educational game that was created is thought to be effective in enhancing students' understanding of the historical event The Three-Day Battle of Surabaya while also providing them with an engaging and interactive learning experience
Rancang Bangun Sistem Reservasi Online “SUMO Tour Organizer” dengan Fitur Rekomendasi Wisata Menggunakan Metode Hybrid Filtering
Get PDFThe digitalization of tourism services requires a reservation system that is more structured, efficient, and capable of providing destination recommendations aligned with user preferences. At Sumo Tour Organizer, the reservation process was previously carried out manually through WhatsApp, leading to issues such as recording errors, delayed verification, and the absence of personalized destination recommendations. This study aims to develop a web-based tourism reservation system equipped with a recommendation feature using a Hybrid Filtering approach, which combines Content-Based Filtering (CBF) and Collaborative Filtering (CF). CBF generates recommendations based on explicit user preferences such as desired activities, visit time, package category, and budget, while CF applies the User-Based Collaborative Filtering algorithm with Cosine Similarity to utilize similarity patterns in user ratings. The system was evaluated using black-box testing to ensure functional correctness, and user questionnaires were employed to assess user satisfaction. The results indicate that the system is capable of processing online reservations, validating payments, and displaying relevant recommendations for both new and active users. Users also reported that the system is easy to use and supports a more organized reservation process. Therefore, the developed system effectively supports the operational activities of the travel agency while enhancing user experience through more accurate and personalized recommendations
EVALUASI PENJADWALAN WAKTU DAN BIAYA MENGGUNAKAN METODE CPM DAN GANTT CHART PADA PROYEK PEMBUATAN CYCLONE DI PT PUTRA DHARMA KENCANA
Get PDFOptimasi Algoritma Long Short-Term Memory Menggunakan Particle Swarm Optimization untuk Prediksi Tingkat Inflasi di Jawa Timur
Get PDFInflation is a key economic indicator that directly affects regional economic stability. East Java has experienced significant fluctuations in Year-on-Year (YoY) inflation, requiring an accurate prediction model to support policymaking. Traditional forecasting methods such as ARIMA and Triple Exponential Smoothing have limitations in capturing non-linear patterns in inflation data. This study proposes a Long Short-Term Memory (LSTM) model optimized using Particle Swarm Optimization (PSO) to improve the accuracy of YoY inflation prediction in East Java. The Dataset consisted of monthly inflation data from 2005–2024 obtained from the Central Statistics Agency (BPS). The research process included data normalization, sliding window formation, data splitting, model training, and hyperparameter optimization using PSO. Model performance was evaluated using RMSE, MAE, and MAPE. The results show that the LSTM-PSO model achieved the best performance with RMSE 0.2171, MAE 0.4659, and MAPE 11.3892%, outperforming the baseline LSTM and other comparison models (ARIMA, TES, and GRU). These findings demonstrate that hyperparameter optimization via PSO significantly improves prediction accuracy and can serve as an analytical tool for policymakers in formulating price control strategies