Abstract:Penggunaan dompet digital yang terus meningkat menghasilkan banyak ulasan pengguna yang dapat dimanfaatkan untuk mengevaluasi kualitas layanan. Penelitian ini bertujuan meningkatkan akurasi klasifikasi sentimen pengguna…
dompet digital menggunakan metode Stacking Ensemble Machine Learning yang mengombinasikan Support Vector Machine (SVM), Multinomial Naïve Bayes (MNB), dan AdaBoost dengan Logistic Regression sebagai meta-learner. Data ulasan diproses melalui tahapan text preprocessing meliputi case folding, cleaning, tokenizing, stopword removal, stemming, dan pembobotan fitur menggunakan TF-IDF. Penyeimbangan data dilakukan dengan SMOTE, sedangkan evaluasi model menggunakan 5-Fold Cross-Validation. Hasil penelitian menunjukkan bahwa model Stacking Ensemble memperoleh akurasi rata-rata 80,55%, lebih tinggi dibandingkan algoritma dasar. Evaluasi menggunakan Confusion Matrix, Classification Report, dan ROC Curve juga menunjukkan peningkatan nilai precision, recall, F1-score, dan kemampuan diskriminasi model. Hasil ini menunjukkan bahwa pendekatan Stacking Ensemble Machine Learning efektif untuk meningkatkan akurasi klasifikasi sentimen pengguna dompet digital serta mendukung evaluasi kualitas layanan berbasis opini pengguna.
The rapid growth of digital wallet usage has generated a large volume of user reviews that can be utilized to evaluate service quality. This study aims to improve the accuracy of digital wallet user sentiment classification using a Stacking Ensemble Machine Learning approach that combines Support Vector Machine (SVM), Multinomial Naïve Bayes (MNB), and AdaBoost with Logistic Regression as the meta-learner. User reviews were processed through text preprocessing stages, including case folding, text cleaning, tokenization, stopword removal, stemming, and TF-IDF feature weighting. Synthetic Minority Over-sampling Technique (SMOTE) was employed to address class imbalance, while model performance was evaluated using 5-Fold Cross-Validation. The experimental results show that the proposed Stacking Ensemble model achieved an average accuracy of 80.55%, outperforming the individual base learners. Furthermore, evaluations based on the Confusion Matrix, Classification Report, and Receiver Operating Characteristic (ROC) Curve demonstrated improvements in precision, recall, F1-score, and the model's discriminative capability. These findings indicate that the proposed Stacking Ensemble Machine Learning approach is effective in improving the accuracy of digital wallet user sentiment classification and can serve as a reliable tool for supporting service quality evaluation based on user opinions.
Abstract:This study aims to design the warehouse tata letak at PT MIKRON PRESISI INDONESIA that experiences post-relocation irregularities in production facilities, along with adjustments to the area area and available rental costs.…
ts. The absence of a racking system and clear classification of goods has caused the storage, retrieval, and work safety processes to not run efficiently. The research approach uses a qualitative descriptive method by collecting data through field observations, interviews, and documentation. The tata letak design was carried out by implementing the Activity Relationship Chart (ARC) and Activity Relationship Diagram (ARD) methods, then tested through simulations using FlexSim software with two operator scenarios. The simulation results showed that the proposed alternative tata letak design was able to improve the workflow by grouping goods into seven categories and arranging shelves based on the level of proximity of activities. However, the utilization rate of operators is still relatively low, namely 17.65% and 19.78%, due to the periodic pattern of goods arrival and efficient search times due to a more structured storage system. These findings indicate opportunities for human resource optimization through reducing the number of operators or adjusting workloads. The resulting tata letak design makes a practical contribution to improving warehouse space efficiency and operations, and can be used as a reference for applications for companies with similar characteristics.
Abstract:The legal outreach activity themed "Synchronization of the Mayor Regulation on Administrative Sanctions for Violations of Public Order and Peace in Yogyakarta City" aimed to enhance legal understanding and implementation…
capacity of the municipal police (Satpol PP). The discussions and interactive sessions highlighted the urgent need to harmonize and update the substance of the current regulation to align with good governance principles and ensure clear and proportional enforcement. Key challenges identified included weak regulatory structure, lack of technical guidelines, and limited objection mechanisms for affected citizens. The activity also produced normative recommendations in the form of a draft regulatory formulation, covering violation classification, types of administrative sanctions, sanction procedures, and appeal mechanisms. This outreach underlines the importance of a collaborative approach between academics and practitioners in formulating effective and just local legal policies.
Abstract:PayLater services are one of the rapidly growing digital financial innovations widely utilised in fintech apps in Indonesia, including Kredivo and Akulaku. User reviews on the Google Play Store reflect a range of experiences,…
nces, from satisfaction with the ease of use of the service to complaints regarding bills, interest rates, late payment fees, credit limits, and app performance. This study aims to classify the sentiment of user reviews regarding PayLater services on the Kredivo and Akulaku apps using the Multinomial Naïve Bayes algorithm. Data was collected via web scraping from the Google Play Store and automatically labelled based on user ratings, with ratings of 1-2 classified as negative sentiment and ratings of 4-5 as positive sentiment, whilst a rating of 3 was excluded as it was considered ambiguous. Following a preprocessing stage comprising cleaning, case folding, tokenisation, stopword removal, and stemming, as well as feature extraction using TF-IDF, 3,652 reviews were obtained with a training-to-test data split ratio of 80:20. The results indicate that positive sentiment dominates the dataset at 56.49%, whilst negative sentiment accounts for 43.51%. Analysis by application revealed that Kredivo was dominated by positive sentiment (68.20%), whilst Akulaku was dominated by negative sentiment (51.70%). The Naïve Bayes multinomial model achieved an accuracy of 84.13%, with average precision, recall, and F1-score values of 0.84, demonstrating good and balanced classification performance across both sentiment classes.
Abstract:This study aims to analyze the level of conformity of carbon emission disclosure based on Environmental Management Accounting (EMA) through the GRI 305 standard in companies included in the IDX LQ45 Low Carbon Leaders (LQ45LCL)…
Q45LCL) index during the period 2022–2024. The increasing global attention to Environmental, Social, and Governance (ESG) issues encourages companies to improve transparency in environmental reporting, particularly regarding carbon emissions. EMA plays an important role as an internal accounting system that provides environmental information used in sustainability reporting. However, variations in the quality of carbon emission disclosure among companies indicate that the implementation of EMA is not yet fully optimal. This research uses a quantitative descriptive approach by analyzing the level of disclosure conformity of GRI 305 indicators in sustainability reports of companies included in the IDX LQ45 Low Carbon Leaders index. The level of conformity is calculated by comparing the number of disclosed indicator criteria with the maximum number of criteria that should be disclosed. The classification of disclosure levels includes not applied, limited disclosure, partially applied, well applied, and fully applied. The results show that the level of carbon emission disclosure among companies varies across the observation period. Several companies demonstrate an increasing trend in disclosure, while others experience fluctuations or remain at a limited disclosure level. Overall, most companies fall within the partially applied category, indicating that carbon emission disclosure has not yet been comprehensively implemented according to the GRI 305 standards. These findings suggest that although companies in the LQ45LCL index are recognized as low-carbon leaders, improvements in the implementation of Environmental Management Accounting are still needed to enhance the transparency and completeness of carbon emission reporting.
Abstract:The identification of error types based on Newman’s Procedure includes reading, comprehension, transformation, process skills, and answer encoding. The objective of this study is to describe the analysis of students’ errors…
errors in solving mathematical logic problems based on Newman’s Procedure. This research adopts a descriptive qualitative approach involving first year students enrolled in the mathematical logic course within the Information Systems program. Data were collected through a diagnostic test administered to three students representing different levels of academic ability: one low ability student, one moderate ability student, and one high ability student. Students’ ability levels were measured based on tests covering compound propositional logic and logical operations. Data analysis was conducted by classifying errors at each stage of Newman’s Procedure, tracing the underlying factors contributing to these errors, and relating them to students’ logical reasoning abilities. Accordingly, the research method employed in this study is descriptive qualitative research. The resulting error classifications were subsequently used by lecturers as a basis for recommending improvements in instructional strategies. The results indicate that students with low ability made errors across all stages from K1 to K5, students with moderate ability tended to make errors at the case exploration and process skills stages, while students with high ability were able to complete all stages systematically and consistently. These findings confirm that the Newman Procedure is effective in mapping students’ thinking errors. Therefore, the implementation of differentiated learning strategies that emphasize problem comprehension, case exploration, and logical verification is recommended to enhance students’ reasoning abilities
Abstract:The objective of this study is to examine the management of water production residues and to analyze their implementation in environmental accounting at PERUMDA Air Minum Mutiara Tirta, Gorontalo City. This study employs…
a qualitative method with a case study approach. The research informants were selected using purposive sampling, consisting of individuals who were considered knowledgeable and directly involved in the issues under investigation, including the Production Coordinator, Maintenance Division, Laboratory Officer of Zone 1, Assistant Manager of Secretariat and Public Relations, and the Accounting and Budgeting Officer. Data were collected through interviews, observations, and documentation by applying data source triangulation to ensure data validity. The results indicate that the management of water production residues has been carried out in accordance with Standard Operating Procedures (SOPs); however, its effectiveness remains limited due to constraints in budget allocation, facilities, and waste treatment technology. In terms of environmental accounting implementation, the recognition, measurement, presentation, and disclosure of environmental costs have not been optimally integrated, as environmental costs are still recorded within general operational budgets without specific classification and detailed reporting. This condition reflects existing challenges in linking waste management practices with environmental accounting records. The main obstacles include limited technological capacity, insufficient human resources with expertise in environmental accounting, and the absence of specific regulations governing environmental cost recording. Therefore, clearer regulatory support, dedicated budget allocation, improved waste treatment technology, and employee training are required to ensure a more effective and sustainable implementation of environmental accounting.
Abstract:The integration of artificial intelligence (AI) in patent systems has emerged as a complex area in intellectual property law. This systematic literature review follows PRISMA 2020 guidelines to analyze AI implementation…
in patent systems, particularly within the Indonesian context. The study examines 11 key studies published between 2015-2025 through systematic searches across multiple academic databases. Results demonstrate that AI implementation has achieved significant improvements in operational efficiency, particularly in automated patent classification, prior art searching, and examination support systems. Approximately 190,000 AI patents were granted globally between 2000-2022, reflecting increasing technological importance. In Indonesia, AI implementation must align with Law No. 13 of 2016 on Patents as amended by Law No. 65 of 2024. The landmark Thaler v. Vidal case confirms AI cannot be an "inventor" but can serve as an assistive tool with significant human contribution. Key challenges include AI decision-making transparency and knowledge gaps among patent examiners.
Abstract:The church is a gathering place for people who believe in Jesus Christ to praise and to glorify Him. Song is part one of the His followers to praise and glorify Him. The purpose of the study was 1) to determine the influence…
ence of song (Ndawi) Lani ethnic in developing their interest at the Lome Baptist Church. 2) to determine the factors that influence the congregation's interest in worshiping at the Lome Baptist Church. The researcher used a qualitative approach. The qualitative approach was chosen because the main focus of the study was to understand the social phenomena related to the song (Ndawi) from the Lani tribe. The population of this study was the entire Lome Baptist Church around aged 18-25 years and the sampel used was 15 people. The data collection techniques used were interviews and observations. The data analysis techniques were identification, classification, and drawing conclusions. The results shows that there are 13 parts, which are divided into (Ayi awu togon uwa iya wua togon uwa) wonderful God wonderful God, (Yetut awuri inom uwa Kritut awuri inom wua) Jesus is with his disciples, Christ is with his disciples, (Purom paga logoner wua taitom paga logoner wua) Living on the Mount of Olives, (Tamban eggwi wonoggwime wua) He is praying, (Ala yoggwi wonoggwime wua) He is asking for power from Him, (Yetut ogoma wagaggerak wua) The Spirit of Jesus came to take a ride, (Wiya pogom wagaggerak wua) He is coming like the wind, (Togi pogom wagaggerak wua) He is coming to brood on the snow, (Awuri aggo inikime wua) He is entering the hearts of His disciples, (Orewi aggo inikime wua) He is entering the hearts of His friends, (Enggi taa ndi’nduk eregerak wua) He is fulfilling in the heart, (Iyok taa ndi'nduk eremobil wua) He is soak the feet in the heart, (Ayii awu togon wua Iya wua togon wua) Wonderful God, miraculous God.
Abstract:Background: Diarrhea is the second-leading cause of mortality in children under the age of five. Based on data from the Pontianak City Health Office in 2021, the number of findings was 727 in toddlers. And in 2022, there…
were as many as 918 findings of diarrhea in toddlers at Gang Sehat Health Center. Mother's factor also affects the occurrence of diarrhea in toddlers. Knowledge is one of the factors causing the high mortality rate due to diarrhea. The importance of maternal knowledge and attitudes in handling diarrheal diseases needs to be discussed because diarrhea that is delayed or improperly handled can cause pain and adverse effects on children, namely infant mortality. Objective: To determine the relationship between mothers' knowledge and attitudes about diarrhea management and the classification of diarrhea in toddlers at the Gang Sehat Health Center. Methods: This study used the accidental sampling method with bivariate analysis using the Chi-Square test. Results: The Chi Square test resulted in a value of 0.934, meaning that the P value > 0.05 indicates that there is no relationship between maternal knowledge and diarrhea classification in toddlers. With the results of the value of 0.443, meaning that the P value > 0.05, there is no relationship between the mother's attitude and diarrhea classification about diarrhea management in toddlers. Conclusion: There is no relationship between knowledge and attitude of mothers with diarrhea classification regarding diarrhea management in toddlers