Universitas Islam Negeri Sultan Syarif Kasim Riau

High and continuous production processes inevitably generate large amounts of production waste. PT RPG is facing problems, especially with the warehouse used to store production waste which holds 17 types of waste. The warehouse is very small, with an area of only 16 m², so it cannot accommodate all 17 types of waste. This causes difficulties in waste placement activities, creates an irregular layout, and increases the risk of work accidents. The purpose of this study is to redesign the waste warehouse in order to reduce the risk of work accidents using the Class-Based Storage method and the 6S approach. This research is quantitative and involves steps such as frequency calculation, cumulative frequency, ABC classification, proposed 6S design, and proposed 3D layout model. The results showed that the warehouse area was expanded from 16 m² to 40 m², which improved the layout for material movement based on the Pareto 80/20 principle used in the ABC classification. In addition, there was a 46% increase in the efficiency of waste placement time, which supported more effective waste handling and retrieval, ultimately reducing the risk of workplace accidents. Thus, the Class-Based Storage and 6S methods proved effective in addressing the layout and safety issues at PT RPG's warehouse. Keywords: CBS, Layout, Warehouse, 6S

By-products from oil palm (Elaeis guineensis Jacq.) industry are abundantly available year-round and potential to be used as a sustainable alternative feed for beef cattle raised in the oil palm plantation.The objective of the study was to evaluate in vitro digestibility, gas and methane production, and rumen fermentation of oil palm industry by-product as basal diet for beef cattle supplemented with sago (Metroxylon sagu Rottb.)bagasse.Four formulated diets were (i) mixture of oil palm frond and palm kernel cake and urea as control diet (CO); (ii) CO supplemented by sago bagasse (COSB); (iii) CO supplemented by solid decanter (COSD); and (iv) CO supplemented by sago bagasse and solid decanter (COSDSB).These diets were evaluated using in vitro gas production.Results show that in vitro true DM degradability (IVTDMD) and methane production were similar among the four-diet treatments with the average 57.73% and 2.8108 mL g -1 , respectively.This indicates their potential feed suitability for beef cattle.In contrast, gas production is significantly different among treatments with the lowest value for CO (119.31mL g -1 ) and highest for COSB treatment (135.26 mL g -1 ), suggesting less microbial activities without supplementation to frond palm.Supplementation of sago bagasse and solid decanter to the byproducts (COSB, COSD and COSDSB treatments) significantly increased protozoa population and fermentation thereby increase microbial biomass (MCP), total volatile fatty acids production and propionic acid production.It can be concluded that oil palm frond and palm kernel cake basal diet are potential to be used for beef cattle diet by supplementing with sago bagasse and solid decanter to enhance their digestibility and fermentation in the rumen.

The development of social media as a digital communication space has changed the communication practices of students, including Islamic Communication and Broadcasting students who use it as a digital da'wah medium. However, the high intensity of social media use is not always accompanied by adequate awareness of communication ethics, so it has the potential to give rise to communication practices that are not in accordance with Islamic communication values. This study aims to analyze the role of lecturers in guiding Islamic Communication and Broadcasting students' communication ethics on social media from the perspective of Islamic cyberethics. This study uses a qualitative approach with a descriptive study design through in-depth interviews with eight lecturers of Islamic Communication and Broadcasting at Islamic Religious Universities in Indonesia who were selected by purposive sampling. Data analysis was carried out using thematic analysis techniques with reference to the principles of Islamic communication ethics, namely qaulan sadida, qaulan baligha, qaulan karima, qaulan ma'rufa, and qaulan layyina. The results of the study show that lecturers have a strategic role as facilitators of internalizing the ethical values of Islamic communication, supervisors of the use of polite language, directors of information verification, role models in digital communication practices, feedback on digital content, shaping social responsibility awareness, directing ethical digital da'wah practices, controllers of communication behavior in cyberspace, and mediators in online communication conflicts. This study concludes that the integration of Islamic communication ethical values in the digital media-based learning process contributes to forming honest, polite, non-provocative, and responsible student communication practices on social media.

Pharmacy sales transaction data contain valuable information on customer purchasing patterns; however, in practice, such data are often used merely as operational records, making relationships between purchased drugs difficult to identify. This study analyzes drug purchasing patterns using the Apriori and FP-Growth algorithms based on sales transaction data from Apotek Gadi Lamba Condet for the period January to June 2025. The transaction data were processed through data cleaning, drug name standardization, and transformation into transaction format, resulting in 7,038 transactions with 1,495 drug items. Association rule mining was performed using a minimum support of 0.01 and a minimum confidence of 0.17. The results show that the Apriori and FP-Growth algorithms generate ten identical association rules with the same support, confidence, and lift values, and all rules have lift values greater than one. Paracetamol 500 MG emerges as the most frequently involved drug in the association rules. These findings demonstrate that, for medium-scale pharmacy transaction datasets, Apriori and FP-Growth have equivalent capability in identifying drug purchasing patterns, with the primary difference lying in computational efficiency rather than the quality of the generated patterns.

Website pemerintah berperan sebagai media utama penyedia informasi publik dan sarana komunikasi antara pemerintah dan masyarakat. Kualitas pengalaman pengguna (User Experience/UX) menjadi faktor penting dalam menentukan efektivitas dan penerimaan layanan digital pemerintah. Penelitian ini bertujuan mengevaluasi pengalaman pengguna pada Website Kementerian Agama Provinsi Riau menggunakan metode User Experience Questionnaire (UEQ). Penelitian melibatkan 68 responden yang pernah mengakses website tersebut. Hasil analisis menunjukkan nilai mean untuk masing-masing skala sebagai berikut: Attractiveness (0,686), Perspicuity (0,688), Efficiency (0,665), Dependability (0,673), Stimulation (0,647), dan Novelty (0,346). Secara absolut, seluruh skala berada dalam kategori netral. Namun, berdasarkan analisis benchmark UEQ, sebagian besar skala termasuk dalam kategori Bad dan Below Average. Temuan ini menunjukkan bahwa meskipun website telah memenuhi fungsi dasar penyampaian informasi, kualitas pengalaman pengguna masih berada di bawah rata-rata produk digital dalam database UEQ. Oleh karena itu, diperlukan perbaikan pada aspek efisiensi, konsistensi desain, pembaruan konten, dan inovasi tampilan untuk meningkatkan kualitas layanan digital pemerintah.

As a triadic ethical vocabulary in Islamic family thought, sakinah functions as the telos of marital calm and psychological safety, mawaddah as the affective–commitment dimension of enduring love, and rahmah as the moral–empathic capacity for mercy that enables reconciliation, resilience, and mutual flourishing. This study interrogates how this spiritual–emotional architecture constitutes the substantive core of Islamic marriage beyond its formal-legal contract and clarifies how it may be operationalised to strengthen family sustainability in contemporary settings. Using a library-research design, the article undertakes systematic documentary analysis of primary Islamic sources (the Qur’an, Hadith, and classical fiqh on munākaḥāt) alongside selected contemporary scholarship on marital psychology; the materials are analysed through a descriptive–analytical strategy and a comparative–critical reading that bridges Islamic normative reasoning with relational-psychological constructs (e.g., attachment and emotional intelligence). The synthesis indicates that sakinah–mawaddah–rahmah provides a coherent normative framework for sustaining intimacy, ethical communication, and reconciliation-oriented conflict management, thereby supporting couple resilience over time. At the same time, the analysis identifies a persistent gap between normative ideals and lived marital dynamics, particularly the gendered distribution of emotional and spiritual labour that can undermine relational equity and long-term stability when unaddressed. This study contributes an interdisciplinary conceptual framework integrating Islamic family jurisprudence, marital psychology, and gender-sensitive analysis to inform more relationally grounded premarital education, marital counselling, and policy-oriented discussions on family well-being.

PT Pegadaian, as listed on its official website, is a fast-growing financial company. One of its key challenges is late installment payments, which can lead to financial losses. Using pawn customer data from 2013 to 2021, this study found that out of 534 customers, 68 were late in paying installments, and 10 did not pay. To address this issue, this research applies customer classification to identify borrowers who are more likely to pay on time. The classification model is developed using data mining with the C5.0 algorithm to generate decision-tree rules. Prior to modeling, the dataset is processed through the Knowledge Discovery in Databases (KDD) stages, including data selection, cleaning, and transformation. The proposed model produces 26 classification rules and achieves an accuracy of 87.04%. All data processing, modeling, and validation are conducted using RapidMiner Studio. Keywords: Classification, Decision Tree, C5.0 Algorithm, Data Mining

The development of an Electronic Health Record (EHR) system requires a well-defined data set and a robust data model to support complex clinical workflows, interoperability, and data quality. Many existing EHR implementations lack standardized and integrated data models, resulting in redundancy, semantic inconsistency, and limited support for secondary data use. This study aims to develop a comprehensive EHR data model based on a Minimum Data Set (MDS) that systematically represents medical service processes across emergency, outpatient, inpatient, and surgical care. The proposed approach involves the design of a conceptual, logical, and physical data model. Business processes were first analysed to identify relationships among clinical and administrative data classes, which were then transformed into a conceptual data model. The logical data model was developed through database normalization and schema definition, while the physical data model was constructed to represent the actual database structure for implementation. The results demonstrate a structured EHR data model comprising 21 interrelated data classes that reflect real-world medical service workflows. The conceptual data model establishes clear entity relationships, supporting data consistency and interoperability. The logical data model provides a normalized SQL-based schema that minimizes redundancy and enhances data integrity, while the physical data model enables efficient data storage and access. A prototype EHR system was implemented to evaluate the feasibility of the proposed data model, showing stable performance, usability, and alignment with functional requirements. This study concludes that a standardized EHR data model derived from an MDS can effectively support comprehensive clinical documentation, interoperability, and future scalability. The proposed model provides a strong foundation for developing national or institutional EHR systems and can serve as a reference for further EHR data standardization efforts.

X-ray imaging is an effective method for detecting lung diseases, such as COVID-19 and pneumonia. With the advancement of technology, the diagnosis process can now be carried out more accurately by utilizing artificial intelligence-based systems. One of the most widely used methods is deep learning, but this method is black-box, making it difficult to understand the reasons behind the model's decisions. The purpose of this study is to build an X-ray image classification system using a deep learning model based on a Convolutional Neural Network (CNN) with a VGG-16 architecture, and to apply the Shapley Additive Explanations (SHAP) method to provide explanations regarding the visuals related to the image areas that affect the prediction results. The model was trained using several configurations, and the best results were obtained with a data ratio of 80%:20%, a learning rate of 0.001, a batch size of 32, and 50 epochs. The results showed that the model was able to achieve an accuracy of 95.75% on the training data and 96.00% on the validation data. The SHAP method was used to improve understanding of the model's predictions and can display feature contributions in the form of a heatmap. This makes it easier to understand which areas have the most influence on the prediction results. The results show that the combination of deep learning and SHAP is capable of providing visual explanations for the model's prediction results.

Family disputes arise when there is a conflict or incompatibility between parties. In this sense, a problem can be interpreted as a situation in which the parties experience pros and cons or incompatibility with the agreement made between them. This is still related to the status of humans as social beings. The existence of disputes between humans inspires the birth of the desire to resolve the conflict/dispute that occurs between them. In dispute resolution, Islam places great emphasis on peace to anyone who is in conflict, and the settlement of disputes arises more from the wishes and initiatives of the parties to the dispute, so that mediators play a petrified role in reaching agreements. In Islamic law, the mediation procedure used to resolve family disputes is called al-sulh, which means to settle, involving a hakam. The processes and facts of society are different. The mediation stage is not necessary if the couple can resolve conflicts within their families. In such situations, they can only resolve the issue with the agreement they made before, and there is no further process. However, when conflicts cannot be resolved simultaneously, families require a trusted family mediator or judge. Therefore, certain stages in this mediation process are necessary to reach an agreement between the two parties. First, each party to the conflict must be willing to present its grievances to the mediator. The second process is peace carried out by third parties. A third party does this by identifying the root cause of the conflict. The third process begins when the midpoint is determined. This process requires the approval of each family that has problems with the solution offered by a mediator. The fourth or an advanced process can be initiated. The mediator in the community is usually a religious figure or community leader, such as a kyai, a hamlet head, or maybe even a hakam, or a trusted family member.