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Sebatik
Published by STMIK Widya Cipta Dharma
ISSN : 14103737     EISSN : 2621069X     DOI : -
Core Subject : Science,
Computer Science & IT
SEBATIK merupakan jurnal kumpulan artikel hasil penelitian, karya ilmiah, maupun program pengabdian masyarakat dari seluruh civitas akademik di Indonesia dalam rangka mengitegrasikan informasi. SEBATIK menyediakan layanan publikasi terbuka untuk semua kalangan umum, baik di semua lingkungan perguruan tinggi maupun keguruan dan lembaga penelitian lainnya, dengan kebebasan bertukar informasi yang didedikasikan untuk memfasilitasi kolaborasi antara peneliti, penulis maupun pembaca melalui pertukaran informasi. SEBATIK mulai diperkenalkan dan dikembangkan di lingkungan STMIK Widya Cipta Dharma sejak tahun 2001 dan terbuka lebar untuk pengembangan yang berkesinambungan. SEBATIK terbit berkala dua kali dalam setahun, yaitu Juni dan Desember, dimana setiap edisi terbitan mengandung paling sedikit 5 buah judul artikel. Jurnal ini memuat hasil-hasil kegiatan penelitian, penemuan dan pengabdian masyarakat dari bukan hanya dari dunia IT tetapi juga berbagai bidang disiplin ilmu. SEBATIK terbuka untuk topik-topik penelitian dan pengabdian seperti topik hubungan masyarakat, peningkatan ekonomi, pendidikan, infrastruktur TIK, dan lain-lain. Semoga dengan artikel-artikel dalam kultivasi para peneliti dapat saling berbagi ilmu demi memajukan Indonesia khususnya Kalimantan Timur.
Arjuna Subject : Umum - Umum
Articles 42 Documents
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Search results for , issue "Vol. 29 No. 2 (2025): December 2025" : 42 Documents clear
Shelf-life Evaluation of Mango Jelly Candy: Critical Moisture Content Method Yudiastuti, Silvia Oktavia Nur; Handayani , Wiwik; Halim , Abdul; Putri, Aurelia Rosa Azaria
Sebatik Vol. 29 No. 2 (2025): December 2025
Publisher : STMIK Widya Cipta Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46984/sebatik.v29i2.2471

Abstract

Using the critical moisture content method, this study investigated the shelf life of mango jelly candy made from over-ripe arum manis mango. The product's shelf life must be evaluated to determine its effect after combining with citric acid. Tests were conducted using 0.5%, 1%, and 1.5% concentrations of citric acid. The mango jelly was wrapped in polypropylene packaging at a relative humidity (RH) of 78% and a temperature of 290 °C. Based on the analysis results, adding 0.5% citric acid yields a product with a longer shelf life compared to concentrations of 1% and 1.5%. An increase in the pH of mango jelly candy causes this. An increase in pH can cause syneresis, thereby increasing the water content in the jelly, which ultimately increases the Aw, allowing it to become a growth medium for microorganisms and resulting in a decrease in the characteristics of the mango jelly candy. The characteristics of the mango jelly product at a concentration of 0.5% as the chosen product formulation concentration are water content 19.91%, ash content 1.3%, fat content 0.33%, protein content 0.71%, and carbohydrate content 77.77%, and IC50 value at 16.11, with hedonic test values ​​for aroma at 3.56, color at 4.04, taste at 4.0, and texture at 3.56. All stored products, whether treated as A1, A2, or A3, will be damaged on the 4th day of storage. Based on Labudza's calculation analysis, mango jelly candies A1, A2, and A3 have shelf lives of 12, 8, and 6 days, respectively. And three days.
The Impact of Early Marriage on Stunting in Kutai Kartanegara Urnia, Ega Ersya; Suryani, Heni; Cybronika, Lutfhi Metta Mediana; Putri , Rosalin Ariefah; Wahyuni, Rahmawati; Sari, Riana Trinovita; Sinaga, Elisa Goretti; Astuti, Dewi Rinda; Metasari, Andi Ria; Hidayati, Diah Ulfa
Sebatik Vol. 29 No. 2 (2025): December 2025
Publisher : STMIK Widya Cipta Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46984/sebatik.v29i2.2603

Abstract

In 2020, the prevalence of stunting in the world was 149.2 million or 22% in children under 5 years of age. Meanwhile, based on the results of the 2022 Indonesian Nutrition Status Survey, the prevalence of stunting in Indonesia is 21.6%. This figure is still relatively high, when compared with the target of reducing stunting to 14% by 2024. For the East Kalimantan Province region, the prevalence of stunting according to the 2022 Indonesian Nutrition Status Survey (SSGI) is 23.9%, while Kutai Kartanegara Regency is The region with the highest prevalence of stunted toddlers is in East Kalimantan in 2022, reaching 27.1%. The aim of this research is to analyze the impact of early marriage on the incidence of stunting in toddlers. The type of research that will be carried out uses quantitative research. The research is Cross Sectional with an observation approach or data collection at once at a time (point time approach). This research will be carried out in June 2024 which will take place in the Teluk Dalam Health Center Working Area. The population in this study is stunted toddlers in the Teluk Dalam Health Center Working Area which amounted to 121 people with a sample size of 32 people. The primary data processing obtained includes data entry, data processing and statistical data analysis is carried out by computerization, namely by using the SPSS program to conduct data analysis with descriptive analysis and inferential analysis, namely the Normality Test, Homogeneity Test, Chi Square Test. The results of the calculation of parents' knowledge about early marriage found that 65.6% of respondents had good knowledge and 3.1% had poor knowledge about early marriage. Meanwhile, the results of the calculation of parents' knowledge about stunting found that 62.5% of respondents had moderate knowledge and 9.4% had good knowledge about stunting. The results of the study obtained a summary result of the impact of early marriage on the incidence of stunting with a p-value of 0.02 (< α = 0.05). There is a relationship between early marriage and the incidence of stunting in the working area of the Teluk Dalam Health Center, Kutai Kartanegara Regency.
Development of PjBL-STEM Integrated Student Worksheets (LKPD) in Differentiated Learning to Improve Student’s Scientific Literacy Skills Rahmah, Karlina; Suyatna, Agus; Distrik, I Wayan; Viyanti, Viyanti; Herlina, Kartini
Sebatik Vol. 29 No. 2 (2025): December 2025
Publisher : STMIK Widya Cipta Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46984/sebatik.v29i2.2621

Abstract

This study aims to develop a Student Worksheet (LKPD) integrated with Project-Based Learning (PjBL) and STEM within differentiated instruction to improve students' scientific literacy skills in a valid, practical, and effective manner. This research is a development study using the ADDIE model, which consists of five stages: Analyze, Define, Design, Implementation, and Evaluation. The results of data analysis show that the developed LKPD is valid for stimulating students' scientific literacy skills on the topic of renewable energy, with an overall validity percentage of 91.93%. This validity includes 92.80% for content, 92.70% for construct, and 90.27% for language aspects. The practicality of the LKPD reached 91.56%, categorized as very practical. The practicality assessment consisted of 90.90% for implementation, 90.62% for readability, and 93.18% for attractiveness. In terms of effectiveness, the LKPD obtained an N-Gain score of 0.5, which falls into the moderate category. The average pretest score was 39.72, which increased to 74.72 on the posttest. Based on the analysis results, it can be concluded that the LKPD integrated with PjBL-STEM and differentiated instruction is valid in terms of content, language, and construct. The practicality of the LKPD is categorized as very practical in terms of implementation, attractiveness, and readability, making it suitable for use in senior high school physics learning (Phase E) under the Merdeka Curriculum with the topic of Renewable Energy. The effectiveness of the LKPD is categorized as moderate, indicating that it can stimulate students’ scientific literacy skills on the topic of renewable energy.
Smart Waste Management Design for Higher Education: Case Study of Al-Azhar University of Indonesia Ananta, Aditya; Wirani, Yekti; Sucahyo, Yudho Giri
Sebatik Vol. 29 No. 2 (2025): December 2025
Publisher : STMIK Widya Cipta Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46984/sebatik.v29i2.2622

Abstract

Al-Azhar University of Indonesia (UAI) has faced significant challenges in waste management. This has caused the UI GreenMetric ranking to be lower. After conducting observations and interviews with the Technical Implementation Unit for Facilities and Infrastructure (SarPras), several major problems found included the absence of waste sorting, excessive waste accumulation, and large waste generation at temporary disposal sites. To improve UAI's ranking in UI Greenmetric and achieve the Sustainable Development Goals target, this study produced a smart waste management system based on the Internet of Things (IoT), Embedded Systems, and Machine Learning (ML). Some of the main components of the design results include a smart bin that uses ultrasonic sensors to reduce accumulation; a web application for monitoring and reward systems; and automatic waste sorting for recycling using Raspberry Pi, infrared sensors, and the ML FOMO (Faster Objects, More Objects) algorithm secured through a CCTV system. In addition, this system is supported by digital education for waste reuse and collection route optimization using ML predictions of the Linear Regression model. With the cooperation of third party sorted waste transportation, this design improves waste management and UAI GreenMetric UI ranking with validation and approval by SarPras and Information Technology Center (PTI).
Enhancing Agile Big Data Project Success using Project Management Body of Knowledge (PMBOK) Performance Domain Astagina, Shania; Raharjo, Teguh
Sebatik Vol. 29 No. 2 (2025): December 2025
Publisher : STMIK Widya Cipta Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46984/sebatik.v29i2.2625

Abstract

Big data projects, especially within the fields of data science, data analytics, and data engineering, are growing rapidly.  This growth can be seen by machine learning technologies and the emerging trend of generative AI that utilize large datasets as input.  This rise is evidenced by trend reports from leading IT companies, which indicate significant growth in the use of big data.  The prevailing trend in big data projects is inconsistent with their actual execution.  A considerable proportion of big data initiatives fail to reach the production phase due to inherent challenges, as these projects often display agile characteristics owing to their rapid pace and fluctuating requirements, in accordance with industry trends and needs.  This highlights the need to assess the issues faced in agile big data projects.  A thorough literature review was performed to identify issues, thus leading to the formulation of suggestions grounded in the PMBOK 7th edition as the standard and guideline for project management.  The SLR phase effectively identifies four main categories of challenges: human resources, project management, data and information management, and organizational issues.  The subsequent recommendation tackles these challenges.  This study utilizes seven of the eight performance domains outlined in the PMBOK 7th edition to address the identified difficulties.
Evaluation of the Effectiveness of Audit Management System (AMS) Using COBIT 2019 and ISO 31000:2018 in the Internal Audit Function Miharja, Indra Setya; Ginardi, Raden Venantius Hari
Sebatik Vol. 29 No. 2 (2025): December 2025
Publisher : STMIK Widya Cipta Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46984/sebatik.v29i2.2627

Abstract

The Audit Management System (AMS) is utilized by the Internal Audit Function to manage audit processes in a structured, documented, efficient, and risk-aligned manner, aiming to provide added value to the organization. This system is supported by the Pentana Audit software, implemented across 22 entities, functioning as a secure platform that records the entire audit process in real-time. This study aims to identify gaps, analyze areas for improvement, assess potential financial and operational impacts, and provide recommendations and mitigation steps related to AMS management. The evaluation applies the COBIT 2019 and ISO 31000:2018 Risk Management frameworks, focusing on five Governance and Management Objectives from COBIT 2019: EDM03, APO12, APO14, DSS03, and MEA04. The novelty of this research lies in the dual-framework approach that systematically integrates COBIT and ISO standards to produce a strategic, risk aligned improvement roadmap. The specific focus on AMS within the Internal Audit context also contributes to strengthening governance and audit risk management. The findings indicate that AMS management has not yet reached full effectiveness, with 13 identified areas of improvement that may cause financial and operational impacts. Key issues include the lack of integration between the audit risk database and ERM, absence of automated notifications, no monitoring dashboard, inadequate data security policies, and suboptimal real-time utilization across entities. APO12 recorded the largest gap, primarily related to IT based audit risk management integration. Recommendations are categorized into three mitigation priorities using an action priority matrix: quick wins, important tasks, and other tasks, with phased implementation over three years.
Music Genre Classification Based on Spectrogram Using CNN-MobileNet Leo, Donatus; Muhammad, Alva Hendi
Sebatik Vol. 29 No. 2 (2025): December 2025
Publisher : STMIK Widya Cipta Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46984/sebatik.v29i2.2634

Abstract

Music is a universal form of art that has a significant impact on human life. In the digital era, managing increasingly large music collections requires an effective classification system to facilitate searching and storage. One of the growing methods is music genre classification, which helps organize music based on specific characteristics. This study explores the application of Convolutional Neural Network (CNN) and the MobileNet architecture for music genre classification based on spectrogram images. Spectrogram representation is used to convert audio signals into visual form, allowing the classification problem to be approached as an image classification task. The dataset used is GTZAN, consisting of six genres: blues, classical, country, hiphop, jazz, and metal. Image augmentation is applied to increase the diversity of training data, including rotation, translation, zooming, brightness adjustment, and horizontal flipping. The evaluation results show that the CNN-MobileNet model achieves an overall accuracy of 83%, with a macro precision of 85%, macro recall of 83%, and macro F1-score of 84%. The classical genre achieved the best performance with an F1-score of 93%. This research demonstrates that spectrogram-based music genre classification using CNN-MobileNet is an effective approach for automatic music recognition tasks
Implementation of an Education and Early Detection Program to Reduce the Risk of Occupational Lung Disease in Furniture Craftsmen in Sambirembe Village Ardyanto, Tonang Dwi; Myrtha, Risalina; Prabowo, Nurhasan Agung; Apriningsih , Hendrastutik; Dyanneza, Frieska; Kuncorowati, Niken Dyah Aryani; Nugroho, Novianto Adi; Suwandono, Adji; Sari, Maria Galuh Kamenyangan; Shofiyah, Laily
Sebatik Vol. 29 No. 2 (2025): December 2025
Publisher : STMIK Widya Cipta Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46984/sebatik.v29i2.2640

Abstract

Furniture industry workers in Sambirembe Village, Sragen, face significant health risks from exposure to wood dust, particularly an increased risk of Chronic Obstructive Pulmonary Disease (COPD). This research is prompted by the low awareness among workers regarding these risks and the minimal use of personal protective equipment (PPE). The objective of this program was to increase workers' and business owners' knowledge of lung health, promote early detection of COPD, and encourage the adoption of safer work practices. The method employed was an intervention that included health education and lung function screening via questionnaires and spirometry. The results revealed a critical knowledge gap, where over 85% of workers had never heard of COPD, even though 70% of them reported experiencing respiratory symptoms. Furthermore, over 90% of workers admitted to rarely using masks. The intervention, which combined education with personalized spirometry data feedback, proved effective in increasing worker awareness of tangible health risks. In conclusion, the education-based and health-screening intervention program successfully raised furniture workers' understanding of COPD risks. An approach that integrates information with personal medical evidence is crucial for promoting behavioural change in high-risk work environments.
The Effect of Financial Performance and Audit Quality on Company Value with Corporate Social Responsibility (CSR) Disclosure as a Moderating Variable Ramadhani, Reni; Muhsin, Muhsin; Yunita, Khristina; Dosinta, Nina Febriana
Sebatik Vol. 29 No. 2 (2025): December 2025
Publisher : STMIK Widya Cipta Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46984/sebatik.v29i2.2661

Abstract

This study aims to determine the effect of financial performance and audit quality on company value with CSR disclosure as a moderating variable. This study is based on financial performance, with indicators such as Return on Assets (ROA), Audit quality with the indicator being the auditor's opinion, namely an Unqualified Opinion, CSR disclosure with indicators such as the Global Reporting Initiative (GRI) G4, and company value with indicators such as Tobin Q. The method used is quantitative with a focus on numerical data. The data used is secondary data obtained from the annual reports of companies classified in the plantation sector listed on the Indonesia Stock Exchange (IDX) during the period 2020 to 2024. The analysis method used is panel data regression, which is a combination of time series data and cross-sectional data that provides efficiency in model estimation. In addition, a moderation test was conducted to determine the role of CSR in strengthening or weakening the relationship between financial performance and audit quality on company value. The results of the study indicate that financial performance has a negative and significant effect on company value, but audit quality and CSR disclosure as moderating variables do not have a significant effect on company value. Furthermore, financial performance with CSR disclosure as a moderator has a negative and significant effect on company value, while audit quality with CSR disclosure as a moderator does not have a significant effect on company value.
The Effect of Sales Growth, Leverage, and Profitability on Company Value with Tax Avoidance as an Intervening Variable Rejeki, Ires Azri; Fahmi, Muhammad; Yunita, Khristina; Dosinta, Nina Febriana
Sebatik Vol. 29 No. 2 (2025): December 2025
Publisher : STMIK Widya Cipta Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46984/sebatik.v29i2.2662

Abstract

This study aims to determine the effect of Sales Growth, Leverage, and Profitability on Company Value with Tax Avoidance as an Intervening Variable. This study is based on the Sales Growth Ratio, with the indicator being the Net Sales Growth Ratio, Leverage with the indicator being the Debt-to-Equity Ratio (DER), Profitability with the indicator being Return on Equity (ROE), and Tax Avoidance with the indicator being the Effective Tax Rate (ETR). The method used is quantitative with a focus on numerical data. The data used is secondary data obtained from the annual reports of companies classified in the retail sector listed on the Indonesia Stock Exchange (IDX) during the period 2021 to 2024. The sampling technique used purposive sampling, with a sample size of 15 companies and 60 observations. The analysis method used is panel data regression, which is a combination of time series data and cross-sectional data. An intervening test was also conducted to determine the role of tax avoidance in strengthening or weakening the relationship between sales growth, leverage, and profitability on company value. All data processing was performed using EViews software. The results of the study indicate that Sales Growth, leverage, and profitability as independent variables, as well as Tax Avoidance as an intervening variable, do not have a significant effect on company value. Furthermore, Sales Growth, leverage, and profitability with Tax Avoidance as an intervening variable also do not have a significant effect on company value.

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