Qomaruna: Journal of Multidisciplinary Studies

Efektivitas Media Pembelajaran Powtoon Berbantukan Game Based Learning Terhadap Kemampuan Berhitung Perkalian di SDN Lombang, Sumenep

Khoirun Nisa — 2025-12-29

Multiplication numeracy skills are a fundamental competency in elementary mathematics education; however, in practice, many students still experience difficulties due to the use of learning media that are limited in variety and predominantly conventional. The utilization of technology-based learning media combined with active learning approaches, such as Game-Based Learning (GBL), is considered to have the potential to enhance student engagement and understanding. This study aims to examine the effectiveness of Powtoon-based learning media supported by GBL on the numeracy skills of third-grade students at SDN Lombang, Sumenep. The population of this study consisted of 32 third-grade students. A quantitative approach was employed using a quasi-experimental design. The research sample comprised 15 students in the experimental group and 17 students in the control group. Data were collected through tests, observations, and interviews. The results of the analysis indicated that the mean score of the experimental group (80.90) was higher than that of the control group (68.88). Hypothesis testing using an Independent Samples t-test showed a significant t-value of 7.550 (p<0,05). Accordingly, Powtoon-based learning media supported by Game-Based Learning were found to be effective in improving the multiplication numeracy skills of third-grade students.

Meningkatkan Karakter Siswa dan Kearifan Lokal dengan Kurikulum Adaptif Berbasis Teknologi: Studi Kasus di SMP Al-Ikhlas, Astanajapura, Cirebon

Ahmad Khoiril Anwar — 2025-12-29

The rapid development of digital technology requires educational institutions to continuously adapt their curricula to remain relevant, while simultaneously preserving education’s fundamental role in character development and the preservation of local cultural values. In practice, however, many schools—including pesantren-based schools—still face challenges in meaningfully integrating technology without weakening character education and local wisdom. This study aims to develop and examine the implementation of a technology-based adaptive curriculum that effectively strengthens students’ character while integrating local wisdom. The research was conducted at SMP Al-Ikhlas, Astanajapura District, Cirebon Regency. This study employed a qualitative approach using a case study method. Data were collected through in-depth interviews, participatory observation, and document analysis. The findings indicate that a technology-based adaptive curriculum facilitates learning that aligns with students’ individual needs, interests, learning styles, and learning pace. The curriculum also provides opportunities for value-oriented and local wisdom–based projects and enables more holistic student assessment. Furthermore, technology plays a crucial role in providing interactive platforms and rich learning resources to internalize character values and promote local wisdom in a contextual manner. The implications of this study suggest that a technology-based adaptive curriculum offers both theoretical and practical guidance for curriculum developers, teachers, and policymakers in designing and implementing junior secondary education that is more relevant, adaptive, and rooted in noble cultural values.

Menjembatani Data dan Makna: Peran Logika Abduksi dalam Empat Model Mixed Methods Research

Muttaqin Khabibullah — 2025-12-29

Mixed Methods Research (MMR) faces significant challenges in integrating quantitative and qualitative findings, particularly when the two types of data produce conflicting interpretations. Although abductive logic has been widely discussed in qualitative research, its role as a systematic mode of reasoning for bridging data and paradigm tensions in MMR remains underexplored. This article aims to analyze the role of abductive logic across four major MMR models: convergent, sequential, embedded, and transformative. Using a conceptual review approach, the study demonstrates that abduction functions as an interpretive mechanism for simultaneous data conflicts in the convergent model; as a bridge for reinterpretation across research phases in the sequential model; as a trigger for critically re-evaluating dominant findings through minor data in the embedded model; and as an interpretive leap that challenges dominant meanings and opens spaces for emancipation in the transformative model. These findings underscore that abductive logic expands the interpretive scope of research outcomes and strengthens reflective and context-sensitive methodological integration, particularly in educational and social policy research.

Implementasi Manajemen Peserta Didik dalam Upaya Meningkatkan Kedisiplinan Siswi: Studi Kasus di MTS Assa’adah II, Gresik

Dwi Intan Nur Faizah — 2025-12-29

Student management is a systematic effort undertaken by educational institutions to manage student development from admission to graduation through the stages of planning, implementation, and evaluation. In the context of Islamic education, student management plays a strategic role in shaping character and discipline through the internalization of religious values. This study aims to analyze the implementation of student management in improving the discipline of female students at MTs Assa’adah II, Gresik. This study employs a qualitative approach with a case study design. Data were collected through in-depth interviews, participatory observation, and document analysis involving stakeholders directly engaged in student development. Data analysis was conducted using the Miles and Huberman model, which consists of data reduction, data display, and conclusion drawing. The findings indicate that student management at MTs Assa’adah II is implemented in a structured and integrated manner through the planning of religious habituation programs, the application of a violation point system accompanied by rewards and punishments, and continuous discipline evaluation. The integration of religious habituation with behavioral reinforcement mechanisms was found to foster disciplinary awareness among female students that goes beyond mere compliance with rules and develops into self-regulation. This study concludes that student management based on Islamic values effectively enhances student discipline and has the potential to serve as a practical reference for other madrasas in strengthening character education.

Akulturasi Budaya Lokal dalam Pelaksanaan Hak dan Kewajiban Suami Istri: Kajian terhadap Corak Ahwal Syakhshiyyah di Masyarakat Muslim Lokal Desa

Ahmad Dahlan — 2025-12-29

The implementation of the rights and obligations of husbands and wives in rural Muslim communities does not take place within a normatively sterile framework; rather, it is shaped by a dynamic interaction between Islamic teachings and deeply rooted local cultures. In practice, the norms of Ahwal Syakhshiyyah are not always applied textually as prescribed in classical fiqh literature, but instead undergo processes of interpretation and adjustment in accordance with the social realities of village communities. This study aims to analyze how local cultural acculturation shapes the implementation of spousal rights and obligations, as well as the patterns of Ahwal Syakhshiyyah application in the context of rural Muslim societies. This study employs a qualitative approach using a library research method, analyzing normative sources of Islamic law, statutory regulations, and relevant sociological and anthropological literature. The data are examined through content analysis and contextual interpretation to identify patterns of integration between Islamic legal norms and local cultural values. The findings indicate that local culture plays a significant role in shaping role distribution, decision-making processes, and the resolution of household conflicts. On the one hand, patriarchal patterns that position the husband as the primary authority figure remain evident; on the other hand, more balanced husband–wife relations have emerged, particularly in economic matters and family deliberation. These findings underscore that Ahwal Syakhshiyyah in rural Muslim communities functions as a living law that is adaptive and contextual. This study contributes to the development of Islamic family law by emphasizing the importance of a contextual approach to ensure that the values of justice, compassion, and household harmony can be realized without compromising the substantive principles of Islamic teachings.

Implementasi Metode Sorogan dalam Meningkatkan Kemampuan Membaca Al-Qur’an Siswa SMK Ihyaul Ulum Gresik

Mir Atun Najiyah — 2025-12-29

Qur’anic education in Islamic boarding schools does not merely emphasize memorization achievements, but also requires leadership that is capable of fostering discipline, role modeling, and sustained spiritual commitment among students. In this context, charismatic leadership plays a strategic role in shaping students’ attitudes, motivation, and consistency throughout the Tahfidz Al-Qur’an process. This study aims to describe the implementation of charismatic leadership in enhancing the success of the Tahfidz Al-Qur’an program at Pondok Pesantren Putri Hafidzul Qur’an Gresik. This research adopts a qualitative approach with a case study design. The research subjects include the pesantren leader (ibu Nyai), male and female teachers (ustadz and ustadzah), and female students (santriwati). Data were collected through participatory observation, in-depth interviews, and documentation studies. The data were analyzed interactively through data reduction, data display, and conclusion drawing in order to obtain a comprehensive and contextual understanding of leadership implementation. The findings indicate that the charismatic leadership of the ibu Nyai is implemented through intensive direct engagement, personal communication, and exemplary conduct in religious practices and discipline. This approach contributes to increased consistency (istiqamah) among students in conducting muroja’ah and maintaining their memorization. Furthermore, the success of the Tahfidz program is not solely supported by memorization targets, but is also strengthened by complementary educational programs, such as the study of classical Islamic texts, which deepen students’ understanding of the meanings of the memorized verses. The implementation of charismatic leadership thus contributes to shaping students who are not only strong in Qur’anic memorization, but also possess moral and intellectual readiness to face contemporary challenges.

Penerapan Manajemen Strategi Menggunakan Metode SWOT dan QSPM pada Industri Kendang Jimbe UD. Karya Mandiri

Moch. Rizki Abdillah — 2025-12-29

In facing increasingly tight industrial competition, MSMEs are required to implement the right business strategy to maintain their existence and increase their competitiveness. This study aims to apply strategic management to MSMEs of Kendang Jimbe craftsmen UD. Karya Mandiri in Blitar City using the SWOT method and Quantitative Strategic Planning Matrix (QSPM). SWOT analysis is used to identify internal factors in the form of strengths and weaknesses, as well as external factors in the form of opportunities and threats that affect business performance, while QSPM is used to determine priority strategies based on their level of attractiveness. This study uses a quantitative descriptive approach with data collection techniques through observation, interviews, and questionnaires to owners, employees, and consumers of UD. Karya Mandiri. The results of the analysis show that the main strength of this MSME lies in high product quality and good reputation, while its main weakness is the limited digital promotion. Opportunities that can be utilized are the increasing interest of the international market in traditional musical instruments, while threats include fluctuations in raw material prices and competition from similar products. Based on the IFE and EFE matrix analysis, UD. Karya Mandiri's position is in quadrant I in the SWOT diagram, which shows the potential to implement an aggressive strategy through expansion. The priority strategy resulting from the QSPM is export optimization by utilizing product quality, which obtained a Total Attractiveness Score (TAS) of 3.42. This strategy is expected to expand market share while strengthening the Kendang Jimbe brand image in the global market. Academically, this study contributes to the application of strategic management in culture-based MSMEs, as well as offering practical recommendations that can be used as a reference for similar MSMEs in responding to modern market challenges sustainably.

Analisis Kualitas Produksi Batu Bata Dengan Menggunakan Diagram Pareto Dan Fishbone

Windi Selviani — 2025-12-29

Brick production in traditional micro, small, and medium enterprises (MSMEs) often exhibits inconsistent quality. This condition leads to various physical defects in the final products and reduces the proportion of saleable bricks. The main problems identified include broken, burnt, and cracked defects. This study aims to analyze the dominant types of defects, identify their root causes, and formulate practical improvement actions applicable to MSMEs. The research employs a Pareto diagram to determine defect priorities, a fishbone diagram to identify root causes, and the 5W+1H analysis as a systematic tool for developing improvement actions. The Pareto analysis indicates that broken defects are the most dominant, accounting for 42% of total defects, followed by burnt defects at 38% and cracked defects at 20%. The fishbone analysis reveals that defects are primarily caused by unbalanced raw material composition, the absence of firing temperature measuring instruments, and uncontrolled drying processes. The 5W+1H analysis proposes improvement actions, including the use of firing temperature measurement tools, raw material measuring instruments, and the reorganization of the drying process to ensure greater stability and consistency. The study concludes that simple but well-controlled interventions in material mixing, firing, and drying stages can effectively reduce defect rates and improve the overall quality of brick production in MSMEs.

Analisis Dampak dan Tantangan Pemanfaatan Sensor Kelembaban Tanah dalam sistem Irigasi Otomatis Berbasis IoT di Sektor Pertanian Indonesia

Rudi Pramana — 2025-12-29

Water-use efficiency remains a major challenge in Indonesian agriculture, particularly due to climate uncertainty and limited resources. The application of Internet of Things (IoT) technology offers opportunities to support data-driven decision-making through real-time environmental monitoring. This study aims to design, develop, and test an IoT-based agricultural environmental monitoring system that focuses on soil moisture measurement as a basis for water management. The research methods include system architecture design, development of ESP8266 microcontroller firmware, integration of soil moisture sensors, a BH1750 light sensor, and a DHT22 temperature and humidity sensor, as well as the development of a cloud-based visualization application using Kodular. The system was evaluated through functional testing, connectivity stability assessment, and data consistency analysis. The results indicate that the system is capable of collecting and transmitting environmental data accurately, consistently, and in real time with a high level of connection reliability. The application presents data intuitively and provides notifications for critical conditions without relying on automatic irrigation. Consequently, this system has the potential to improve water management efficiency and support more precise decision-based smart farming practices, while also serving as a foundation for the future development of sustainable automatic irrigation systems

Implementasi Condition Based Maintenance (CBM) Pada Mesin Pasah Kayu Modern Terhadap Peningkatan Kualitas Produk Furniture Di UD Mitra Usaha Ngunut Tulungagung

Muhammad Rizki Wahyu Saputra — 2025-12-29

Small and medium-sized furniture industries rely heavily on the reliability of production machinery to maintain consistent product quality and ensure smooth manufacturing processes. However, maintenance practices in the SME sector are still predominantly reactive, which can increase downtime, reduce product quality, and accelerate component wear. This study aims to analyze the implementation of Condition-Based Maintenance (CBM) on modern wood planing machines at UD Mitra Usaha Ngunut, Tulungagung, through monitoring of temperature, vibration, and noise parameters. A case study approach was employed using observation, interviews, and documentation analysis. The results indicate that CBM implementation significantly extended component service life, as evidenced by an increase in planer blade lifespan from an average of 6 months to 8–9 months (33–50%), carbon brush lifespan by 25–30%, and armature, bearing, and fan belt lifespan by 20–40%, depending on operating conditions. In addition, CBM reduced average operating temperature by 8–12%, decreased vibration intensity by up to 30%, and maintained noise levels within safe limits. CBM implementation was also shown to reduce production downtime by up to 35% and improve maintenance cost efficiency. These findings demonstrate that CBM is effective in enhancing machine reliability and furniture product quality in small and medium-sized industries.

Investigation and Evaluation of Cutting Temperature with Various Cooling Conditions and Parameters in Milling Machining Process

Nuril Anwar Habiby — 2025-12-29

In the manufacturing industry, especially those engaged in the machining process, the results of product quality and tool life are always the main focus of the industry. These factors can be influenced by the friction that occurs between the cutting tool or chisel and the workpiece during the machining process which will cause high cutting temperatures so that the cutting temperature problem must be resolved immediately. This study aims to analyze the effect of machining parameters and conditions on the cutting temperature in the milling machining process. Variations in machining conditions and parameters used include dry, flood, and air-cooling techniques; Spindle speed parameters 500, 800, and 1100 rpm; Feed rate parameters 60, 100, and 140 mm/min. The method used is an experimental method. The cutting temperature was measured using an infrared thermometer. The results of the analysis in this study indicate that the combination of variables in the milling machining process that obtains the most optimal response value to reduce the cutting temperature is the use of the flood coolant cooling technique, then a spindle speed of 800 rpm, and a feed rate of 100 mm/min.

Predicting Computer Numerical Control (CNC) Machine Downtime using Ensemble Learning Approaches

Amir Aminuddin — 2025-12-29

Computer Numerical Control (CNC) machining is a subtractive manufacturing technique that removes layers of material from a blank or workpiece to create a specific product. With increasing global competition, minimizing downtime during production is essential to maximize machine availability and productivity. This study investigates the application of machine learning models, specifically Extreme Gradient Boosting (XGBoost) and Random Forest (RF), to forecast CNC machine downtime from multiple failure sources. The study uses data collected from 16 CNC machines at Company A in Malaysia over an extended period. The data contain key variables for each downtime event, such as machine ID, failure type, start date/time, end date/time, and downtime duration in minutes. Failure types are categorized into several groups, including mechanical, electrical, and tool malfunctions. After hyperparameter tuning, the XGBoost model outperformed the RF model, achieving a Mean Squared Error (MSE) of 0.4017, Root MSE (RMSE) of 0.634, and Mean Absolute Error (MAE) of 0.470 on the test set, while the RF model yielded higher errors, with an MSE of 1.2654, RMSE of 1.125, and MAE of 0.943. These results demonstrate the superiority of the XGBoost model over RF in predicting future CNC downtime, as indicated by its lower prediction errors. Future work should focus on refining the model with larger, more diverse datasets and exploring its integration into AI-based decision support systems to enhance machine availability and operational efficiency.