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This Author published in this journals
All Journal Indonesian Journal of Data and Science The Indonesian Journal of Islamic Law and Civil Law
Hosen, Moh
Unknown Affiliation
Religion Computer Science & IT Decision Sciences, Operations Research & Management Mathematics Neuroscience

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Application of Mamdani Fuzzy Logic in Identifying Postpartum Depression Risk Kinasih, Agnes Nola Sekar; Hosen, Moh; Handayani, Anik Nur
Indonesian Journal of Data and Science Vol. 6 No. 1 (2025): Indonesian Journal of Data and Science
Publisher : yocto brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijodas.v6i1.193

Abstract

Introduction: Postpartum depression (PPD) is a common psychological disorder affecting mothers after childbirth, often underdiagnosed due to the subjective nature of its symptoms. Early detection is crucial to prevent adverse effects on maternal and child health. This study aims to develop an early detection system for PPD risk using Mamdani fuzzy logic, which is well-suited to handle vague and imprecise symptom data. Methods: A fuzzy inference system was designed using the Mamdani method to classify PPD risk into Low, Medium, and High categories. The system was built upon a dataset of 1503 questionnaire responses sourced from Kaggle. Subjective symptoms such as sadness, irritability, sleep disturbances, and bonding difficulties were mapped into fuzzy membership functions. A total of 243 fuzzy rules were defined to reflect realistic combinations of symptoms. The system was implemented and validated in both Python and LabVIEW environments. Results: Experimental validation using 10 test inputs showed consistent results between the two platforms, with a deviation of less than ±1%. This consistency confirms the reliability of the fuzzy logic model in interpreting subjective symptom data. The system demonstrated strong potential for classifying PPD risk based on nuanced input variables. Conclusions: The Mamdani fuzzy logic system offers a reliable and flexible tool for assessing postpartum depression risk. By effectively interpreting ambiguous symptoms, it supports healthcare professionals in identifying at-risk individuals for early intervention. Future enhancements should include expanding the dataset and refining the rule base for broader applicability and improved accuracy.
Song Copyright Royalties as Distribution Joint Assets in Decision No.1622/ Pdt.G /2023/PAJB Islamic Law Perspective Hosen, Moh; Wahab, Adul Aziz; Arianto, Yudi
The Indonesian Journal of Islamic Law and Civil Law Vol 5 No 1 (2024): April
Publisher : Institut Agama Islam Nahdlatul Ulama Tuban

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51675/jaksya.v5i1.747

Abstract

This study analyzes the distribution of song copyright royalties as joint property in West Jakarta Religious Court Decision No.1622/Pdt.G/2023/PAJB from the perspective of Islamic law. The research was conducted using a qualitative method involving an in-depth analysis of the court decision and a literature review on the concept of joint property and intellectual property rights in Islamic law. The results showed that song copyright royalties obtained during marriage can be categorized as joint property if both parties contribute equally in obtaining it. According to the view of Islamic law, joint property is considered to arise from the principle of cooperation between husband and wife (syirkah abdan) in earning a living to meet family needs. The division of joint property is submitted based on agreement (ash-shulh) by considering the contribution and justice for each party. The decision of the West Jakarta Religious Court has considered the rights and contributions of both parties fairly in the distribution of song copyright royalties by giving half of the share to each party. This research is useful to provide a comprehensive understanding of the status of song copyright royalties as an object of joint property and how the division can be done fairly according to the principles of Islamic law.
Co-Authors Anik Nur Handayani Arianto, Yudi Kinasih, Agnes Nola Sekar Wahab, Adul Aziz