bluuebunny/crossref_metadata_2025 huggingface dataset:
Human Agency in Live Subtitling through Respeaking
Authors: Korybski Tomasz , Davitti Elena
Published: December 2024

This paper examines the phenomenon of effective editions (EEs) as used by respeakers during live assignments. While the term "editing" conventionally refers to the refinement of written text, live spoken language editing has been recognised as a regular practice in the context of intra- and interlingual respeaking (Romero-Fresco and Pöchhacker 2017). However, the existing definition of EEs can benefit from expansion, and there are benefits to be reaped from a more comprehensive exploration of the range of phenomena encompassed under this umbrella term. This paper endeavours to fill the gap by scrutinising instances of EEs from an extensive database gathered within the framework of the ESRC-funded SMART project (ES/T002530/1, 2020-2023) on interlingual respeaking. Based on bottom-up, empirical analysis, we propose a straightforward taxonomy of EEs, consisting of the main categories of condensation, re-expression, and compensation. Our analysis reveals the pervasive nature of EEs, which also emerge as significant predictors of respeakers’ performance accuracy. The taxonomy we present is grounded in concrete examples and can facilitate a more equitable and pragmatic assessment of subtitle accuracy but also holds potential for refining (semi-)automated subtitle accuracy evaluation systems which are currently at prototypical stages (Bacigalupe and Romero-Fresco 2023). Furthermore, the proposed taxonomy is relevant for respeaker training and/or upskilling where proficiency in effective editing will lead to enhanced performance. Given the nascent status of research in this domain, the paper concludes by delineating prospective directions for further exploration of EEs.
Lay summary
This paper focuses on how respeakers positively change the spoken language they hear from the source during a live assignment. Respeakers are highly skilled language professionals who strategically reformulate what they hear from the speaker to speech recognition software, which turns their speech into text to be displayed as live subtitles with a few seconds’ delay. Although the word “editing” is normally associated with improving written text, in this case, we deal with effective editions (EEs) of spoken language, performed by respeakers “on the go”. EE has been referred to in previous studies, but it has not been studied in depth. We try to fill this gap by analysing cases of EE and offering a simple taxonomy of EEs. We find that EEs are a very frequent phenomenon that also relates to how well respeakers work. The taxonomy we propose is based on concrete examples and can be used to evaluate subtitle accuracy in a fairer and more pragmatic way. It can also help develop better (semi) automated quality evaluation systems for larger datasets. Another advantage of the taxonomy is its application in respeaker training and/or upskilling: knowing how to effectively edit can improve respeakers’ performance. As this topic is still understudied, we finish the paper by indicating a few possible research directions to further explore EEs.
AVT and Agency
Authors: De Ridder Reglindis
Published: December 2024

At the 10th Media for All conference, the meagre representation of minoritized languages (including sign language) in audiovisual media on streaming platforms was tackled. In this way, the very ideal of media for all was challenged. Global streaming platforms tend to adopt a ‘one size fits all’ approach in limiting their language settings to a minimum. While the users of minoritized languages often are proficient in the dominant language of their country, it is absolutely crucial that content is available in their smaller — and often endangered — languages as well. Some streaming platforms of local public service broadcasters try to accommodate this need. Still, the questions remain: to what extent do not only minoritized languages users, but also the speakers of the majority languages encounter these minoritized languages in audiovisual content, how linguistically diverse and inclusive is this content, but also: what role can audiovisual translation play here? In this article, the importance of audiovisual translation in and out of minoritized languages, with a special focus on revoicing, is discussed. The children’s content broadcast by Swedish public service broadcaster in the national minority languages and sign language is used as a case study.
Lay summary
People who speak less common languages or use sign language cannot always access audiovisual media in these languages. The reason for this is that the content, but also the language settings offered by streaming platforms often tend to be rather limited in this regard. For minoritised language communities, however, it is important that audiovisual media is available in their languages, as it can help safeguard these often endangered languages. Likewise, it is important that majority language users become more aware of these languages through audiovisual media. This article explores how streaming platforms can become more inclusive and also provide content in such minoritized languages for both the minoritised and majority language communities. The children’s programmes of Swedish public broadcasters that offer content in minoritised languages for both the majority language, Swedish speaking community, and the minoritised language communities are analysed and discussed as a case study. Yet, it looks at the agency of individuals who try to make a difference. The focus is on (partial) revoicing, yet (partial) subtitling and sign language interpreting are also discussed.
Resource Allocation Influence on Performance of County Government Funded Water Projects in Kisii County, Kenya
Authors: Mutuku Miombe , Kwasira Josephat , Lango Benard
Published: December 2024

Purpose: The aim of the study was to examine how resource allocation influences performance of M&E practices on county government funded water projects in Kisii County.
Methodology: The study will adopt a descriptive survey design. The study target population includes 201 county water staff managing 90 water projects across the county. The census method was used to research the 201 staff involved in water projects. The primary data was collected by use of questionnaires and Key Informant interviews. Quantitative data was analyzed by employing descriptive statistics and inferential analysis, and the results were presented by tables and figures. Whereas, qualitative data was done through narrative analysis and presented in form of verbatim and narrations.
Findings: findings indicated that a mere 12.9% of the participants agreed that the county government allocated a specific budget for M&E activities, while 12.4% strongly agreed. However, a significant 38.2% disagreed with this allocation. Similarly, the budget's adequacy came under scrutiny, with only 3.5% deeming it sufficient, while 37.6% disagreed. Infrastructure provision for M&E activities raised uncertainty among 8.8% of respondents, and only 16.5% agreed on its adequacy. Furthermore, while the allocation of adequate human resources for M&E garnered strong agreement (31.8%), it was met with disagreement by 14.7% of participants.
Unique Contribution to Theory, Practice and Policy: This study was anchored in the change theory. The county government of Kisii County can capitalize on this finding by prioritizing adequate resource allocation for M&E activities. This capitalizing may involve dedicating specific budgets, ensuring infrastructure provision, and allocating sufficient human resources. Policymakers and project managers should closely evaluate the resource allocation process, addressing concerns raised by participants in the study. Adequate resources lay the foundation for streamlined operations, data collection, and stakeholder engagement. By recognizing the strategic significance of resource allocation, the county government can significantly enhance the efficiency and effectiveness of water project implementation.
Implementasi Model Discovery Learning melalui Pembelajaran Berdiferensiasi untuk Meningkatkan Kolaborasi Pelajaran Matematika Kelas 1 SD
Authors: Marwiyah Marwiyah , Wardani Krisma Widi
Published: December 2024

Action research was conducted in Class I of RA Kartini 01 Public Elementary School Gendongan 01, focusing on implementing a differentiated learning model to enhance students' collaboration skills and learning outcomes. This study comprised two cycles of action research. Data were collected through teacher observation sheets during the implementation of the discovery learning model with a differentiated approach, as well as through student learning outcome observation sheets in the form of post-tests. The results indicated a significant improvement in students' collaboration skills from the pre-cycle to Cycle II. In the pre-cycle, only 2 students (7.41%) were categorized as highly capable (81-100). This number increased to 5 students (19.23%) in Cycle I and 10 students (38.46%) in Cycle II. The capable category (61-80) also showed improvement from 4 students (14.81%) in the pre-cycle to 7 students (26.92%) in Cycle I and 11 students (42.31%) in Cycle II. Students in the less capable (21-40) and incapable (0-20) categories drastically decreased from 19 students (70.37%) in the pre-cycle to 8 students (30.77%) in Cycle I and no students (0%) in Cycle II. There was also a significant improvement in learning outcomes, with students in the highly capable category (81-100) increasing from 12 students (44.40%) in the pre-cycle to 16 students (59.30%) in Cycle I and 19 students (70.40%) in Cycle II. There were no students categorized as less capable (21-40) or incapable (0-20) in Cycles I and II. Therefore, the implementation of a differentiated learning model has proven effective in enhancing students' collaboration skills and academic achievement.
Perbandingan Akurasi Metode Fuzzy Mamdani dan Fuzzy Sugeno dalam Memprediksi Kebutuhan Darah PMI Kota Medan
Authors: Putri Vira Amalia , Sitepu Suryati
Published: December 2024

Blood demand prediction is important to avoid the instability of blood stocks or supplies. Too much and abundant blood stock can cause losses, because the blood will be wasted when it passes the storage expiration date. Meanwhile, too little stock can risk a shortage of blood supply. To anticipate this, it is necessary to predict the amount of blood demand that must be received in the future in order to achieve optimum blood availability. Fuzzy Mamdani and Fuzzy Sugeno methods that use the concept of fuzzy logic are considered capable of handling complexity and uncertainty in decision making, so they can be used to predict the amount of blood demand by considering the varying and uncertain amounts of blood demand and supply. The calculation results show that the Fuzzy Mamdani method has better accuracy than the Fuzzy Sugeno method with MAPE values of 16.707% and 17.987% respectively. The Fuzzy Mamdani method has an accuracy level in the good category according to the MAPE method and can be used to predict blood demand at PMI Medan.
IDENTIFIKASI MODEL PEMBIAYAAN USAHA KECIL DAN MENENGAH OLEH LEMBAGA KEUANGAN MIKRO DI KABUPATEN JEPARA
Authors: Anam A. Khoirul , Nahar Aida
Published: December 2024

The development of Micro, Small and Medium Enterprises (SMEs) is determined by thepresence of microfinance institutions (MFIs) that offer financing models are diverse. Buton the other hand the diversity of models offered MFI financing has yet to be exploited.The objectives of the study was to identify the characteristics of business and financingneeds of SMEs, as well as identifying financing models that fit the character of SMEs. Theapproach used in this research is descriptive qualitative research through a case studyapproach, the informants in this study were employees and managers are authorized toprovide information on financing models. While the research conducted in the district ofJepara. Based on comparative models and characteristics of SME financing, MFIcooperative model provides relatively brief filing procedure with a low ceiling making itsuitable for small and micro businesses. As for MFIs BPR models have the advantage inproviding kinds of products are more varied and larger loan limit and interest ratesvaried so suitable for this type of small and medium enterprisesKeywods: SMEs, MFIs, financing model.
PENGARUH STRATEGI CUSTOMER RELATIONSHIP MANAGEMENT DAN TEKNOLOGI INFORMASI TERHADAP PERILAKU WORD OF MOUTH (Studi Pada Klaster Batik Tulis Lasem di Rembang)
Authors: Rosyidi Syaiko
Published: December 2024

The purpose of this study was to examine the role of Customer Relationship Management (CRM) and Information Technology (IT) on the behavior of Word of Mouth (WOM) consumers Batik Tulis Lasem in Rembang Regency. The phenomenon of collaborative CRM strategy with the use of IT has become the trend of an increasingly competitive strategy and economical. The research location is on a cluster Batik Tulis Lasem which includes the District of Lasem and the District Pancur using survey method, the type of the data subject and the data source is primary with a questionnaire instrument by using purposive sampling of 140 respondents and involve 52 businesses Batik Tulis Lasem. Research data will be analyzed using multiple linear regression analysis.The results showed that both independent variables CRM (X1) and TI (X2) has positive and significant effect on the behavior of WOM (Y) consumers Batik Tulis Lasem.Keywords: Customer Relationship Management, Information Technology, and Word of Mouth.
Analisis Integrasi Vertikal Pasar Beras di Indonesia
Authors: Kusumaningsih Asih
Published: December 2024

Aim for this research consists of (1) knowing trend of rice retail price in Indonesia and unhulled rice price at farm level in Indonesia and (2) identifying vertical integration of rice market in Indonesia. Research method to analyze trend of price is least square method with use annual data from period 2000-2014. Vertical integration of rice market in Indonesia is analyzed with Engle-Granger cointegration model and ECM with use monthly data of retail price in Indonesia and GKP price from period 2008-2014. Result of trend analysis shows that two kind of rice price have increased trend. Analysis of vertical integration of rice market in Indonesia shows that rice market in Indonesia has long term equilibrium relationship and short term equilibrium relationship.Keywords: price, rice, integration, vertical
FINALCIAL LITERACY DAN PERILAKU KEUANGAN MAHASISWA (STUDI KASUS MAHASISWA STIE ‘YPPI’ REMBANG)
Authors: Sari Dian Anita
Published: December 2024

Financial intelligence in the competition is absolutely necessary in today's modern society. Deemed necessary, due to the financial intelligence that includes how a person manages financial-owned well is capital to improve the welfare of each individual. This study intends to analyze the effect of learning in college and family financial education to student financial behavior, and the impact of the financial literacy of students to the financial behavior of students with student research object STIE 'YPPI' Rembang. Research shows that learning in higher education and financial education affect student financial literacy, while financial literacy have an impact on the financial behavior of the students. Additionally, financial literacy proved able to moderate learning in college and family financial education in student financial behavior.Keyword : Financial Literacy, Financial education, Financial behavior
PENGARUH CUSTOMER EQUITY TERHADAP WORD OF MOUTH PERGURUAN TINGGI SWASTA
Authors: Suprapto Rifqi
Published: December 2024

Consumer confidence in a product or brand will have an impact on increasing consumer loyalty to the brand or product concerned. One form of consumer loyalty to the company product or brand is shown in the form of Word of Mouth. This also applies within the scope of the college in which the student confidence for what he has received during the conduct of university education will be formed into a satisfaction for students. Therefore, the purpose of this study was to determine the effect of Customer Equity in Word of Mouth in Higher Education.This study is a survey research with quantitative descriptive research type. The population in this study Yogyakarta Muhammadiyah University Students Strata-1 semester five upwards, with sample collection method used a numbering 150. The questioner that has been tested previously to 30 respondents and tested the validity and reliability that results in a 100% said the question is valid and feasible to be used. The research method using SEM analysis test used AMOS.The result from this study is no positive influence brand equity and the value equity towards WoM (Word of Mouth). However, relationship equity had a positive influence on the value of WoM (Word of Mouth).Keywords: Word of Mouth, Customer Equity, and University
PENGARUH MOTIVASI, KOMPENSASI DAN LINGKUNGAN KERJA TERHADAP PRODUKTIVITAS KERJA KARYAWAN
Authors: Purwanto Agus Budi
Published: December 2024

This study aims to determine the effect of motivation, compensation and work environment on employee productivity. The research sample was determined by simple random sampling method. Research data collection techniques by spreading questionnaires to employees PT.PELANGI in Demak systematically arranged with multiple choice answers are easy to understand. These samples included 58 people. Test research instruments using validity and reliability. This study uses multiple linear regression model. To get the regression BLUES (best linear Unbiased estimated), previously performed classical assumption. The research proves that there is a positive and significant impact either partially or simultaneously between motivation, compensation and work environment on employee productivity.Keywords: motivation, compensation, work environment, employee productivity
PENGARUH PELATIHAN TERHADAP KINERJA KARYAWAN BAGIAN PRODUKSI PADA PT. SEMEN BATURAJA
Authors: Sari Novita , Labbaikka Videlia
Published: December 2024

The purpose of this study was to determine the effect of training on the performance of employees of PT. Semen Baturaja, especially production employees. The population in this study were employees of PT. Semen Baturaja is part of production with 75 people. The sampling technique was carried out by simple sampling method and obtained around 50 employees as research samples. The research variable consisted of independent variables in the form of Training (X) and Employee Performance (Y) as the dependent variable. The method of data collection in this study is the interview method and questionnaire. The results of the study show that the training has a significant effect on the performance of production department employees at PT. Semen Baturaja. This is indicated by the simple linear regression value of 0.356 with the correlation coefficient (R) of 0.667 in the category having a strong relationship between training on employee performance, and the determination coefficient value of 44.5% which means the training variable has an effect of 44.5 % of the variable performance of employee production department at PT. Semen Baturaja, the remaining 55.5% is determined or explained by other variables not included in the study.
ANALISIS KEPATUHAN PAJAK FINANSIAL DAN NON FINANSIAL SERTAKOREKSI FISKAL (Studi Kasus Perusahaan PT XYZ Pada Periode Tahun 2014)
Authors: Widodo Agus
Published: December 2024

This research aims to analyze the financial tax compliance PT XYZ in calculating, amountof payment, and amount of reporting tax obligations (Value Added Tax (VAT), Article 21 IncomeTax, Article 23 Income Tax, Article 4 (2) Income Tax, Article 25 Income Tax, Corporate Income Tax)and the non financial tax compliance PT XYZ related to the date of tax payment and tax reporting(Value Added Tax (VAT), Article 21 Income Tax, Article 23 Income Tax, Article 4 (2) Income Tax,Article 25 Income Tax, Corporate Income Tax) before due of tax payment and tax reporting alsofiscal correction has been done in 2014 in accordance with applicable tax laws in 2014.Keywords : Tax Compliance, Tax Obligations, Fiscal Correction
PEMANFAATAN PEMBAYARAN ONLINE BAGI E-COMMERCE USAHA KECIL DAN MENENGAH
Authors: Sugiharto Sugiharto , Umar Abdullah , Sasongko Agung Hari , Aguzman Glory
Published: December 2024

Today, technology has entered into all business fields where the digital era is very helpfuland facilitates business both in terms of marketing, sales and distribution. The utilizationof these technologies will directly increase sales volume and the potential for anincreasingly large market. This will be very beneficial for medium and small businesses,where they still use a lot of conventional methods and have not used the technology sideand have not yet entered e-commerce. Expansion of the market or market is the mostimportant thing in the business world so that through E-Commerce, market coverage isno longer only in the area where the MSMEs are located but is widespread throughoutthe world wherever it can be accessed. In addition to the wider market, it can also accessreal-time payments that will facilitate the payment process directly by consumers andcan make the flow of cash out of the business more controlled which is no longer anobstacle. This online payment system is not always related to e-Commerce, but also withdirect transaction activities at the place of business can also be done so that cashless andalso in the online payment there will be a sales transaction report that will make therecording directly available in the payment system online. This benefit is very helpful forsmall and medium businesses that are expected to increase their sales growth and theirfinancial management will be helped.
KUALITAS KREDIT SEBAGAI PEMODERASI PENGARUH TINGKAT PERMODALAN TERHADAP PROFITABILITAS PADA PERBANKAN SYARIAH
Authors: Rinawati Tri
Published: December 2024

Islamic banking is a financial institution that has a function as an intermediary betweenpeople who have excess funds and people who lack funds. Sharia banking operational activities arebased on Islamic economic systems that do not contain elements of gharar, maysir and usury. Shariabanking activities are expected to be an alternative solution in overcoming the problem of povertybecause in Islamic banking there are financial instruments in the form of zakat funds obtained fromcustomers who carry out financing and savings activities. In Islamic economic systems reject themotive of speculation and greedy behavior towards property which is a character of intrinsic lust forhumans who tend to love wealth.The purpose of this study is to determine the effect of capital as measured by the Capital AdequacyRatio (CAR) on Rentability (Earnings) as measured by Return On Assets (ROA) and Non PerformingFinancing (NPF) as moderating.Data sources are secondary data obtained from bank financial reports obtained fromwww.idx.co.id, and obtained from literature such as books, journals, and others related to research.The population is Islamic banks in Indonesia, totaling 12 banks. The method of determining thesample is saturated sampling with a population of less than 30 people. The sample that will be usedas a source of information in this study amounted to 12 banks. Data analysis methods used include (1)Test Descriptive Statistics. (2) Test of Multiple Regression Analysis. (3) Model Feasibility Test.From the results of testing the hypothesis, it can be concluded that Capital Adequacy Ratio has apositive effect on Return On Assets and with the Non Performing Financing (NPF) (moderatingvariable) will be able to strengthen the influence of the Capital Adequacy Ratio on Return On Assets.
TEKNIK ANALISIS REGRESI LINEAR BERGANDA DAN IMPORTANT PERFORMANCE ANALYSIS UNTUK MENGUKUR TINGKAT KEPUASAN MAHASISWA TERHADAP KINERJA LAYANAN AKADEMIK
Authors: Muhardono Ari , Susilo Dwi
Published: December 2024

One indicator of the success of managing a college is student satisfaction with the services carried out by the college in academic learning services and academic administration services.This research is a descriptive study that aims to find out how much the level of student satisfaction with the services carried out in the academic field both educators and education staff at the Faculty of Economics, Pekalongan University. This study uses data analysis techniques of Multiple Linear Regression and Importance Performance Analysis (IPA). Multiple linear regression is used to determine the direction of the relationship between the independent variable and the dependent variable, while the Importance Performance Analysis (IPA) is used to determine the level of student satisfaction with academic services by measuring the level of importance and level of implementation.Data obtained from questionnaires distributed to students using the dimensions of performance appraisal and expectations namely Tangible (physical evidence), Reliability (reliability), Responsiveness (responsiveness), Assurance (assurance), and Emphaty (empathy).The results showed that Performance and Expectations had a significant effect on Student Satisfaction. The results of the calculation of the student satisfaction index value of 0.70 it can be concluded that overall students of the Faculty of Economics, Pekalongan University feel " satisfied" for the services provided by the Academic Section of the Faculty of Economics, Pekalongan University
ANALISIS PERBEDAAN RETURN SAHAM JAKARTA ISLAMIC INDEX (JII) DAN INDEKS LQ45
Authors: Purwati Purwati , Rinawati Tri , Santoso Aprih
Published: December 2024

The purpose of this study was to determine the effect of Debt To Equity Ratio (DER), Price To Book Value (PBV), Earning Per Share (EPS) on the Jakarta Islamic Index Stock Return and LQ45 Stock Return Index, and to determine the difference in the Jakarta Islamic Index Stock Return with LQ45 Index.The population of this research is the company for the Jakarta Islamic Index shares which are 30 listed companies and the LQ45 Index which is 45 listed companies. The sampling technique uses the Purposive Sampling method.The analysis technique used is the classical assumption test, the Multiple Linear Regression Test, and the Independent Sample t test.Significant value (Sig.) For DER, PBV and EPS for the JII Stock Index greater than 0.05 concluded that the hypothesis was rejected meaning that DER, PBV and EPS had no significant effect on Stock Return. Significant value (Sig.) For DER, PBV and EPS for the LQ45 Stock Index greater than 0.05 for the LQ45 stock index concluded that the hypothesis was rejected meaning that DER, PBV and EPS had no significant effect on Stock Return. There was a significant difference between Stock Returns JII with LQ45 Stock Return means the results obtained from stock investments for each company both JII and LQ45 Index.
TELISIK DETERMINAN NILAI PERUSAHAAN
Authors: Rokhim Nur , Wahdi Nirsetyo , Santoso Aprih
Published: December 2024

The purpose of this study was to examine the effect of the variable profitability (ROA), dividend policy (DPR), solvency (DER), and company size (SIZE) on firm value (Prince to Book Value). This study uses data obtained from the annual financial statements of Manufacturing Companies listed on the Indonesia Stock Exchange in 2015-2017. The population in this research is all manufacturing companies registered in Indonesia Stock Exchange in 2015-2017 as many as 99 companies. In the purposive sampling stage, the number of samples that were suitable for use were 28 Manufacturing Companies. The data analysis method is multiple linear regression. Hypothesis testing uses t-tests to partially test variables, and F-tests. The analysis shows that profitability (ROA), dividend policy (DPR), solvency (DER) and company size (PBV) affect the firm value (PBV). Then the results of the regression analysis detected profitability (ROA), dividend policy (DPR), solvency (DER) and company size (PBV) showed an effect on firm value (PBV) of 54.8%, the remaining 45.2% influenced by other factors.
Analisis Faktor-faktor yang Mempengaruhi Tingkat Literasi Keuangan UMKM Batik Tulis Lasem di Kabupaten Rembang
Authors: Suryandani Wulan , Tahwin Muhammad
Published: December 2024

In the development of the world’s economy, business or entrepreneurial efforts are required to be able to make appropriate and effective decision making, especially in the financial sector. This research was conducted to analyze the factors that influence financial literacy in UMKM Batik Tulis Lasem in Rembang Regency. The variables used in this study are education level, gender, and income level. This has implications for good finance that will help MSMEs to take effective financial decisions for the sustainability of their businesses. This study uses binary logistic analysis to find the effect between variables with the level of financial literacy. The results of the study showed that none of the variables used in the study had a significant influence on the level of financial literacy at UMKM Batik Tulis Lasem.
SISTEM PENGENDALIAN BARANG DAGANG TOKO ANEKA KUE CIREBON
Authors: Yanti Herni , Yudianto Agus
Published: December 2024

The development effort will lead to an ever increasing variety of problems, especially in its inventory. Inventories are assets of a very large company and prone to risk, whether the risk of damage or theft risk. In trading company's internal control over inventory is very important, the better the internal control over inventory the better inventory management in the business because inventory is the largest asset in the trading company.This research was conducted at Aneka Cake Shop Increased Noble, discussed in JL.Jagastru. Assorted Cake Shop is a pastry shop that sells a variety of products both dry and wet cake. The reason the author conducted research at Aneka Cake Shop is to evaluate the preparation of the internal control of goods is in conformity with the existing theory.In  this study,  the authors  conducted a  descriptive case  study.  The  method  of  data collection  is  by  interview,  observation,  and  documentation.  Source  of  data  used  is primary data. Then the authors made the analysis of degan using elements of internal control, whether it is in accordance with the existing theory. Based on the results it can be said that the internal controls Rising Star East Noble store for inventory is still weak. This can be seen from some of the elements of internal control that is not in accordance with the regulations and existing theories. The shortage lies in the structure of the organization still have a position and the lack of clear division of tasks. The documents were used.
PENGARUH NILAI PELAYANAN TERHADAP CITRA PERUSAHAAN DI MATA KLAIMEN PT JASA RAHARJA (PERSERO) KANTOR PERWAKILAN BOJONEGORO
Authors: Jihan Jihan , Kuntardina Ari
Published: December 2024

PT. Jasa Raharja is in charge of providing compensation for road traffic accident victims. Thus, people who have an accident will feel helped by the existence of PT. Jasa Raharja. The research objective was to test and analyze the effect of PRIME PT Jasa Raharja (Persero) Bojonegoro Representative Office on company image in the eyes of beneficiary claimants. This research is a survey research. The sampling technique used was Proportionate Random Sampling. Data collection by questionnaire to 50 claiment PT Jasa Raharja in Bojonegoro Regency. Data analysis used Multiple Linear Regression Analysis. The results of data analysis show that the value of Proactive, Friendly, and Easy partially has a significant and positive effect on company image, while the values of sincerity and empathy partially do not have a significant effect on the corporate image of PT Jasa Raharja (Persero) Bojonegoro Representative Office. Meanwhile, the five PRIME values (proactive, friendly, sincere, easy, and empathetic) together have a significant effect on the company's image in the eyes of PT Jasa Raharja's claimants, Bojonegoro Representative Office.
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KINERJA PERANGKAT DESA DI KECAMATAN KALIORI KABUPATEN REMBANG
Authors: Setyawati Nanik , Tahwin Muhammad
Published: December 2024

The purpose of this research is to prove motivation effect, education level and workdiscipline on the performance of village officials in Kaliori District. The sampling method usedthe saturated sample method. The data collection technique used a survey method bydistributing questionnaires to 184 respondents of village officials in Kaliori District. The dataanalysis technique in this research used multiple linear regression analysis. The results of theresearch prove that motivation, education level and work discipline have a significant positiveeffect on the performance of village officials in Kaliori District. The ability of the motivationalvariable, education level and work discipline explain the variation in the performance of villageofficials in Kaliori District is 30.8%, while the remaining 69.2% is influenced by other factorsoutside the research model.
College Department Recommendation Expert System Web-Based Using Certainty Factor Method
Authors: Hasannah Kholifatun , Agustin Ninik , Aziz Zein Mochamad Taufiqurrochman Abdul
Published: December 2024

The choice of college major is an important decision that each prospective student must take. In the decision-making process, a genuinely accurate source of information is usually needed to avoid mistakes for prospective students when determining the college major they will take. This study implemented the certainty factor method in a website-based college central recommendation expert system to minimize and avoid these mistakes. This study uses the certainty factor method to calculate the level of confidence and uncertainty of each recommendation result given by the expert system. This system will use predetermined rules to connect input and output to provide results that match the input from the user. Based on this process, prospective students will then obtain the appropriate college major recommendation results; in this study, the recommendations are based on the types of intelligence. This study aims to help solve existing problems by building an expert system to provide colleges with significant recommendations and by implementing the certainty factor method to determine the output results of recommendations from the system. This study produces a "College Major Recommendation Expert System (SIPAREK)" to help determine college majors that suit each interest to minimize the risk of mistakes in choosing a college major. In this study, the accuracy value of the recommendation results by applying the certainty factor method was 80%; from this value, it can be concluded that the certainty factor method can work well to provide recommendations for college majors in the system created.
Real Time Chicken Egg Size Classification Using Yolov4 Algorithm
Authors: Sandy Cut Lika Mestika , Husna Asmaul , Rizal Reyhan Achmad
Published: December 2024

The common problem currently faced by MSMEs producing chicken eggs is experiencing difficulties in grouping egg sizes every day. Currently, grouping egg sizes is still done manually, this is less than optimal and prone to errors so that many business owners often experience losses. Grouping egg sizes before being sold is very important to note because each size affects the selling price of eggs. The use of technology on a MSME scale in laying hen farmers has not been widely adopted, this is due to limited access and understanding of technology so that to improve and strengthen productivity, management, and marketing in this business, technological innovation is needed. One alternative solution to deal with this problem is to build a real-time computerized system that can group eggs according to their size. This study aims to evaluate the performance of the Yolov4 algorithm in grouping egg sizes based on their size in real time. Based on the results of the tests carried out, the Yolov4 algorithm is able to group chicken eggs in real time with an F1-Score value: 0.89 where the F1-Score value approaching 1 indicates that the system performance has been running well. The results of this classification can be used to create a real-time egg size grouping application that can help MSMEs to monitor the productivity of chicken eggs every day.
Characteristics of Wireless Vibration Sensors for South Aceh Polytechnic Building
Authors: Oktrison Oktrison , Sipahutar Erwinsyah , Jamsan Firdaus , Candra Rudi Arif , Ilham Dirja Nur
Published: December 2024

Vibration is a back-and-forth movement in a certain time interval that produces waves in a medium. Vibration can occur on a small or large scale. So on a small scale, a vibration sensor is needed to detect certain phenomena such as vibrations of engine capacity and detected pressure. On a large scale, vibration sensors can be used to detect earthquakes and other major phenomena and design a real-time vibration detection system for long distances, so vibration sensor components, controllers, and radio systems are needed. Therefore, researchers made a simple vibration detector using the experimental method. This final project aims to design, realize, and test the characteristics of the MPU 5060 accelerometer vibration sensor that is connected wirelessly. The characteristics of the sensor are tested against the magnitude of the vibration source, the distance of the vibration source, the placement medium, and the detection period. After testing the tool 10 times, it can be concluded that this simple vibration detector functions well and the highest average load results are obtained, namely in the 1-kilogram load test with a value of 1.93026 and the lowest average results are in the ceramic load test with a value of 0.651357.
A Comparative Analysis of Machine Learning Models for Predicting Student Performance: Evaluating the Impact of Stacking and Traditional Methods
Authors: Airlangga Gregorius
Published: December 2024

This study investigates the application of machine learning models to predict student performance using socio-economic, demographic, and academic factors. Various models were developed and evaluated, including Linear Regression, Random Forest, Gradient Boosting, XGBoost, LightGBM, Support Vector Regressor, and a Stacking Regressor. The models were assessed using key evaluation metrics: Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), R-squared (????2), Mean Squared Log Error (MSLE), and Mean Absolute Percentage Error (MAPE). The Support Vector Regressor demonstrated the best overall performance, with an MAE of 4.3091, RMSE of 5.4110, and an ????2 of 0.8685, surpassing even the more complex ensemble models. Similarly, Linear Regression achieved strong results, with an MAE of 4.3154 and ????2 of 0.8685. In contrast, the Stacking Regressor, while effective, did not significantly outperform its base models, achieving an MAE of 4.5340 and ????2 of 0.8563, highlighting that greater model complexity does not necessarily lead to better predictive power. The analysis also revealed that MAPE was highly sensitive to outliers in the dataset, indicating the need for robust data preprocessing to handle extreme values. These results suggest that, in educational data mining, simpler models can often match or exceed the performance of more complex methods. Future research should investigate advanced ensembling strategies and feature engineering techniques to further enhance the accuracy and reliability of student performance predictions.
Spam Detection on YouTube Comments Using Advanced Machine Learning Models: A Comparative Study
Authors: Airlangga Gregorius
Published: December 2024

The exponential growth of user-generated content on platforms like YouTube has led to an increase in spam comments, which negatively affect the user experience and content moderation efforts. This research presents a comprehensive comparative study of various machine learning models for detecting spam comments on YouTube. The study evaluates a range of traditional and ensemble models, including Linear Support Vector Classifier (LinearSVC), RandomForest, LightGBM, XGBoost, and a VotingClassifier, with the goal of identifying the most effective approach for automated spam detection. The dataset consists of labeled YouTube comments, and text preprocessing was performed using Term Frequency-Inverse Document Frequency (TF-IDF) vectorization. Each model was trained and evaluated using a stratified 10-fold cross-validation to ensure robustness and generalizability. LinearSVC outperformed all other models, achieving an accuracy of 95.33% and an F1-score of 95.32%. The model demonstrated superior precision (95.46%) and recall (95.33%), making it highly effective in distinguishing between spam and legitimate comments. The results highlight the potential of LinearSVC for real-time spam detection systems, offering a reliable balance between accuracy and computational efficiency. Furthermore, the study suggests that while ensemble models like RandomForest and VotingClassifier performed well, they did not surpass the simpler LinearSVC model in this context. Future work will explore the incorporation of deep learning techniques, such as Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), to capture more complex patterns and further enhance spam detection accuracy on social media platforms like YouTube.
Effect of Coiling and Macrobending on Fiber To The Building (FTTB) Network Activation
Authors: Yustini Yustini , Nasrul Nasrul , Asril Aprinal Adila , Nugraha Bintang Aulia
Published: December 2024

Fiber to the Building (FTTB) provides a fast and efficient service. However, the network quality may be affected by high attenuation at the termination (ONU) due to coiling, macrobending, and the length of patch cords, impacting network stability. This study aims to measure and analyze the effect of coiling and macrobending on patch cord cables of different lengths, as well as their influence on attenuation and FTTB network performance. The method includes simulating patch cord cables with lengths of 3m, 5m, and 10m. The tested treatments include conditions without coil, with coil, macrobending without coil, and macrobending with coil applied to the final termination before and after activating the FTTB network. Before activation, the lowest attenuation was 19.78 dB in the 3m cable without coil and macrobending, while the highest attenuation was 21.93 dB in the 10m cable with 5 coils (6cm curvature) and macrobending (0.8cm diameter). After activation, the lowest attenuation was 19.74 dB in the 3m cable without coil and macrobending, while the highest attenuation was 23.92 dB in the 10m cable with 5 coils (6cm curvature) and macrobending (0.8cm diameter). The test results show that the attenuation is affected by the number of coils, macrobending, and cable length.Damping increases with an increase in coils, cable length, and macrobending.
Web-Based Coat an Kebaya Rental Information System in Palembang City
Authors: Apriansyah Apriansyah , Sobrina Khoirunnisa Nabila , Haryanto Dedi
Published: December 2024

That study's objective is to develop and develop a web-based information system for renting suits and kebaya in Palembang City. This system is expected to facilitate the process of renting traditional clothing, especially suits and kebayas, for various events and occasions. The system will provide an online platform for customers to browse and select available Suits and Kebayas, make online reservations, and track their rental status. The system will also allow rental service providers to manage inventory, update availability, and accept online payments. The proposed system is expected to boost productivity and effectiveness of the renting procedure, increase customer satisfaction, and increase the competitiveness of rental service providers in Palembang City. The system will be developed using a web-based approach, and its functionality will be evaluated through usability testing and user acceptance testing. Because the information presented basically comes from input data (input), then before entering data you must check the data correctness of data so that the resulting information is appropriate. Prepare hardware and software support whose specifications can support this system well. Perform periodic data back-ups to anticipate undesirable events.  This system cannot only be used for one place. It is hoped that this system can be used in all places or areas where the system is not yet computerized to save time and energy.
Automated Recognition of Batik Aceh Patterns Using Machine Learning Techniques
Authors: Utaminingsih Eka , Sahputra Ilham
Published: December 2024

This research focuses on the automatic recognition of Aceh batik patterns using machine learning techniques. Utilizing a Convolutional Neural Network (CNN) model based on EfficientNet, a dataset consisting of 1,200 Aceh batik images was processed through various stages, from data collection to model training and evaluation. The images are divided into three main classes: Bungong Jeumpa, Ceplok, and Kerawang. The data processing steps include normalization, resizing, and data augmentation to ensure better variation. The model was trained using 75% of the data as a training set and 25% as a testing set. The results indicate that the model performed excellently, achieving an accuracy rate of 98%. According to the classification report, the model achieved an average precision, recall, and F1-score of 0.98. The Kerawang category achieved the highest precision at 100%, while the Bungong Jeumpa and Ceplok categories had F1-scores of 0.98 and 0.97, respectively. These findings demonstrate the potential of machine learning methods in recognizing Aceh batik patterns with high accuracy, supporting the preservation of local culture through technology.
Design and Development of a Web-Based Correspondence Management Information System at Politeknik Negeri Tanah Laut
Authors: Rhomadhona Herfia , Noor Hayatie Marliza , Pebriana Rina
Published: December 2024

Correspondence at Politeknik Negeri Tanah Laut (Politala) is currently still done manually in the vertical delivery process between work units. This manual process results in inefficiency, especially in monitoring the status of documents such as Staff Review Documents. Staff Review is a document that must be made by the department to the director as a basis for requesting assignment letters, decrees, recommendation letters and the others. These documents often require repeated checking, causing delays in the workflow. In addition, paper-based correspondence archives increase the risk of losing documents and make it difficult to find them again. Therefore, the implementation of the Correspondence Management Information System (SiMantan) is needed to improve the efficiency of the correspondence administration process by providing electronic document management and real-time status monitoring. This information system is built using the waterfall development model and designed with the Unified Modeling Language (UML) in the form of Usecase Diagrams. While the programming language used is the PHP programming language with the Code Ignitor 3 framework and MySQL database. Functional testing of the system is carried out using the black box testing and user acceptance testing (UAT) method which shows that all features in the information system function properly according to the expected specifications.