Qomaruna: Journal of Multidisciplinary Studies

Analisis Struktur Dramatik Freytag Dalam Film 172 Days Karya Nadzira Shafa

Kurnia Widiawati — 2026-06-29

172 Days, a film by Nadzira Shafa, is a religious film based on a true story that depicts the spiritual and emotional journey of its main character through a well-structured narrative. This study aims to describe and analyze the application of Freytag’s dramatic structure in the film’s storyline, which consists of five main stages: exposition, rising action, climax, falling action, and resolution. A descriptive qualitative approach was employed, using Miles and Huberman’s data analysis model to explore the narrative construction in the film. The results reveal that each stage of Freytag’s structure is clearly identifiable and cohesively forms a dramatic sequence, portraying Zira’s transformation from a spiritually fragile woman into a mature, faithful, and resilient individual. The exposition presents the emotional roots of the conflict, the rising action illustrates the hijrah process and Zira’s meeting with Ameer, the climax portrays the peak of happiness in marriage, the falling action shows the struggle with illness, and the resolution conveys a profound sense of loss and life meaning. The findings conclude that Freytag’s structure is effective for analyzing true-story films with strong religious values. This study contributes to the development of narrative film analysis, particularly in religious cinema, and may serve as a reference for filmmakers in crafting emotionally resonant and meaningful storylines.

Pengelolaan Sistem Drainase Berbasis Partisipasi Masyarakat di Kecamatan Tanggulangin, Kabupaten Sidoarjo

Alfian Huda Aunur Hasyir — 2026-06-29

Rapid population growth and land-use changes in urban areas often reduce the capacity of drainage systems, leading to waterlogging in residential neighborhoods. This condition is also evident in Tanggulangin District, Sidoarjo Regency, where several residential areas experience drainage dysfunction due to inadequate channel capacity and weak environmental management. This study aims to analyze the condition of residential drainage systems and formulate community-based management strategies. A descriptive qualitative approach was employed using the Participatory Rural Appraisal (PRA) method, involving local residents, village officials, and technical agencies. Data were collected through field observations, semi-structured interviews, Focus Group Discussions (FGDs), and documentation. The findings indicate that most drainage channels in the three study villages, Kedungbanteng, Banjarpanji, and Kalidawir, have experienced narrowing and siltation caused by sediment accumulation and domestic waste. Approximately 60% of the tertiary drainage network is not connected to the main secondary channels, resulting in frequent waterlogging in residential areas. Furthermore, community participation in drainage maintenance remains sporadic and lacks formal institutional organization. The study highlights that community-based drainage management, through participatory drainage mapping, the establishment of community-level drainage monitoring teams, and the implementation of simple infiltration technologies such as infiltration wells and biopores, can strengthen surface water management capacity in a more adaptive and sustainable manner.

Karakteristik dan Distribusi Sampah Laut Makro di Pesisir Teluk Ambon

Fahrul Rozy Fakaubun — 2026-06-29

Marine debris has become a major environmental concern in coastal areas, particularly in semi-enclosed waters such as Ambon Bay. This study aimed to analyze the characteristics of macro marine debris based on material composition, quantity, mass, and density across four coastal monitoring stations in Ambon Bay. Field surveys were conducted in December 2025 using the shoreline transect method in accordance with the national marine debris monitoring guidelines. Macro debris larger than 2.5 cm was collected, classified by material type, counted, and weighed. Variations in material composition were assessed using the Shannon–Wiener diversity index (H'), while differences in debris mass among stations were analyzed using the non-parametric Kruskal–Wallis test. The results showed that plastic was the dominant material at all stations, resulting in low material diversity. Significant spatial differences in macro marine debris mass were also observed among the stations, with Poka exhibiting the highest debris accumulation, whereas Lateri showed a relatively more diverse material composition than the other stations. These findings indicate that the characteristics of macro marine debris vary spatially across Ambon Bay, highlighting the need for site-specific management strategies to support more effective coastal marine debris control

Systematic Literature Review: Perbedaan Penggunaan Unit Indikator Dalam Menentukan Resiliensi Ekosistem Terumbu Karang

Muhammad Fahrul Barcinta — 2026-06-29

Coastal areas are dynamic social–ecological systems that are highly vulnerable to global and local environmental pressures, requiring resilience-based management, particularly for coral reef ecosystems. This study aims to identify and synthesize resilience indicators and methodological approaches using a Systematic Literature Review (SLR). Data were collected from Scopus and Google Scholar via Publish or Perish, yielding 172 initial articles, which were filtered down to 10 relevant studies. The results show that core ecological indicators—live coral cover, herbivore biomass, juvenile recruitment, macroalgae cover, and structural complexity—are consistently used as primary determinants of resilience. Anthropogenic pressures and socio-economic conditions also influence adaptive capacity but do not replace biophysical factors. However, variations in measurement methods, normalization, and indicator weighting limit cross-study comparability. Therefore, a standardized, transparent, and comparable assessment framework is needed. In conclusion, standardizing indicators and methods is essential to improve assessment reliability and support sustainable coral reef management and conservation.

Teknologi Mekatronika dalam Otomatisasi Pertanian: Proyek Penyiram Tanaman Otomatis Berbasis ESP32

Aroihan Khozinatul Asror — 2026-06-29

The advancement of Internet of Things (IoT) technology has created significant opportunities to improve resource management efficiency in the agricultural sector, particularly in automated irrigation systems. This study aimed to design and evaluate an automatic plant irrigation system based on the ESP32 microcontroller capable of monitoring and controlling environmental conditions in real time. An engineering experimental approach was employed, including literature review, hardware and software design, system integration, performance testing, and data analysis. The developed system consists of an ESP32 microcontroller, a YL-69 soil moisture sensor, a DHT22 temperature and humidity sensor, a relay module, and a direct current (DC) water pump. Remote monitoring and control were implemented through Blynk and Telegram applications using WiFi connectivity. System testing was conducted under various soil moisture conditions to assess sensor accuracy, automation responsiveness, and communication stability. The results indicate that the system operated automatically according to predefined soil moisture thresholds, achieving sensor accuracy above 90%. Furthermore, water use efficiency improved by 25–30% compared to manual irrigation methods. The system successfully transmitted real-time data with an average delay of less than three seconds. These findings demonstrate that the implementation of an IoT-based automatic irrigation system has strong potential to support smart farming practices that are more efficient, cost-effective, and sustainable, particularly for household-scale, greenhouse, and urban agriculture applications.

Digital Forensic Study on Network Security Systems to Improve User Trust in Digital Technology

Ammar Yasir Nasution — 2026-06-29

This study proposes an integrated framework that combines digital forensics, machine learning-based intrusion detection, and user trust assessment to enhance network security. A quantitative field-experimental approach was employed in a simulated network environment. A dataset of 5,000 network log records was used to train and evaluate a Random Forest classifier for cyberattack detection. In addition, a survey of 100 users was conducted to assess perceived security and trust using a 10-point Likert scale. The results indicate that the proposed approach improved attack detection accuracy from 80% to 95% while reducing the average detection time from 7 to 5 seconds. The Random Forest model achieved an area under the receiver operating characteristic curve (ROC-AUC) of 0.90, demonstrating strong classification performance. Furthermore, the mean user trust score increased from 6.8 to 8.5 following system implementation. These findings suggest that integrating digital forensic analysis with machine learning has the potential to improve both technical network security performance and users' perceived trust in digital systems.

Perbandingan Kinerja IndoBERT dan IndoRoBERTa dengan Penerapan SMOTE dalam Deteksi Ujaran Kebencian Berbahasa Indonesia

Muhammad Mutawakkil Alallah — 2026-06-29

The rapid growth of social media in Indonesia has increased digital interaction while also giving rise to hate speech issues that affect communication quality and social stability. This study aims to compare the performance of two Transformer-based models, IndoBERT and IndoRoBERTa, in Indonesian-language hate speech classification and to evaluate the effect of the SMOTE data balancing technique. The dataset consisted of Indonesian-language Twitter data that underwent preprocessing and was divided using an 80:20 stratified train-test split. Model training was conducted through fine-tuning, while evaluation employed accuracy, precision, recall, and F1-score metrics. The results show that IndoRoBERTa outperformed IndoBERT across all evaluation metrics and was more effective in reducing classification errors. The application of SMOTE also improved the models' ability to detect minority classes, particularly in terms of recall. These findings indicate that the combination of Transformer-based models and data balancing techniques is effective in improving both classification accuracy and class balance in hate speech detection. Furthermore, the results suggest that the combination of IndoRoBERTa and SMOTE has strong potential to support the development of more accurate and adaptive automated content moderation systems for Indonesian-language social media platforms.

Implementasi Kegiatan Ekstrakurikuler Al-Banjari dalam Meningkatkan Karakter Religius Peserta Didik di MA Ma’arif 7 Sunan Drajat Paciran Lamongan

Ahmad Fairuz Prahasana — 2026-06-29

Religious character formation is an essential part of Islamic education to develop individuals with moral integrity. This study examines the implementation of Al-Banjari extracurricular activities as a means of fostering students' religious character at MA Ma’arif 7 Sunan Drajat Paciran Lamongan. Using a qualitative approach and case study method, data were collected through observation, interviews, and documentation, and analyzed using the Miles and Huberman model: data reduction, display, and conclusion drawing. The results show that Al-Banjari activities have been structured since 2009 with clear task division, guided training, and strong school support. These activities not only enhance Islamic musical talent but also build discipline, responsibility, and teamwork. Students’ religious character is evident in their understanding of religious values (moral knowing), emotional involvement in religious practices (moral feeling), and consistent worship and behavior (moral action). The study concludes that Al-Banjari contributes significantly to strengthening religious character through practical, contextual Islamic cultural experiences. It recommends further development of Islamic arts-based extracurricular programs as a strategy for character building in education.

Pancasila Dalam Perspektif Agama Islam Dan Relevansinya Dalam Kehidupan Bangsa di Era Kontemporer

Miftahul Khoiri — 2026-06-29

Pancasila, as the foundational philosophy of the Indonesian state, contains values that align with the teachings of Islam. Each principle of Pancasila embodies moral and spiritual aspects that can be found in Islamic teachings, namely the Qur’an and the Sunnah. This article aims to examine the values of Pancasila from the perspective of Islam and their relevance in the contemporary era. The research method used is a qualitative approach with a literature study technique, by reviewing various sources, both classical and modern, related to the theme of Pancasila and Islam. The results of the analysis show that Pancasila and Islam share normative harmony in building a just and harmonious social order. In the contemporary era, the values of Pancasila remain relevant as moral and ethical guidelines in facing the challenges of globalization, spiritual crisis, and moral degradation. The conclusion of this study emphasizes that the integration of Islamic values in the practice of national life through Pancasila can strengthen national identity, reinforce unity, and maintain a balance between material and spiritual progress in Indonesian society. Thus, Pancasila is not something that contradicts Islam but rather serves as a means of harmonizing national and religious values.

Pengaruh Media Pembelajaran Berbasis Game Kahoot Terhadap Pemahaman Siswa Kelas X-2 Pada Mata Pelajaran Al-Qur’an Hadis Di SMA Nusantara Bungah Gresik

Ahmad Mughni Labib Al Ikhwani — 2026-06-29

The teaching of Al-Qur’an and Hadith at the senior high school level continues to face various challenges, particularly students’ low understanding of the subject matter. Preliminary observations in Class X-2 of SMA Nusantara Bungah revealed that many students had not achieved the Minimum Mastery Criteria (MMC), while the learning process was still dominated by lecture-based instruction, which tended to be monotonous. Therefore, a more innovative and interactive learning medium is needed to improve students’ understanding. This study aimed to determine students’ level of understanding before the use of Kahoot-based game learning media, describe the implementation process of Kahoot in Al-Qur’an and Hadith learning, and examine students’ level of understanding after using the media. The study employed a quantitative approach using a pre-experimental one-group pretest–posttest design. The participants consisted of 22 students from Class X-2 selected through total sampling. Data were collected through observation, tests, questionnaires, and documentation. The research instruments were developed based on learning media indicators and comprehension indicators derived from Bloom’s Taxonomy. The results showed that before the implementation of Kahoot, most students demonstrated low to moderate levels of understanding, with average scores remaining below the MMC. Kahoot was implemented through game-based quizzes supported by digital devices. During the learning process, students appeared more active, enthusiastic, and engaged. After the use of Kahoot, students’ understanding improved, as indicated by higher posttest scores and an increased number of students achieving the MMC. These findings suggest that Kahoot is an effective learning medium for improving students’ understanding in Al-Qur’an and Hadith subjects.

A Linguistic Study of Code-Mixing in Livy Renata’s YouTube Content: The Case of “Who Knows Me Better Yasuke VS Jerome!”

Linda Rofi Saumi — 2026-06-29

The phenomenon of code-mixing has become increasingly common on social media platforms such as YouTube, where creators engage audiences from diverse linguistic and cultural backgrounds. This study addresses the limited research on the specific forms of code-mixing employed by Indonesian YouTubers, focusing on Livy Renata. This study aims to identify and classify the types of code-mixing used in her YouTube content. Using Muysken’s (2000) theoretical framework, this study analyzed language data from a selected video on Livy Renata’s channel. A descriptive qualitative method was applied to examine the occurrences and types of code mixing present. The analysis identified 47 code-mixing instances, comprising 16 insertions (34%), 24 alternations (51%), and 7 congruent lexicalizations (15%). These findings suggest that alternation is the most dominant form of code-mixing in this context, reflecting a flexible linguistic strategy influenced by bilingual interactions. This study provides insights into how Indonesian content creators navigate multilingual communication, contributing to broader sociolinguistic discussions on digital code-mixing practices.