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All Journal Sainteks Jurnal Matematika & Sains International Journal of Local Economic Governance Jurnal Kimia dan Kemasan Jurnal Imejing Diagnostik Indonesian Journal of Physics and Nuclear Applications Jurnal Eduscience (JES) Abdi: Jurnal Pengabdian dan Pemberdayaan Masyarakat Jurnal Civic Hukum Jurnal Kimia dan Kemasan Prosiding Seminar Nasional Pascasarjana Jurnal Kabar Masyarakat Al-Nafis: Jurnal Biologi Dan Pendidikan Biologi JURNAL MULTIDISIPLIN ILMU AKADEMIK Jurnal Intelek Dan Cendikiawan Nusantara Jurnal Ilmiah Nusantara Jurnal Intelek Insan Cendikia Bulletin of Geology Jurnal Budi Pekerti Agama Buddha
Susilo Susilo
Department of Physics, Semarang State University (UNNES)
Religion Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Other

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NORMA HUKUM ETIKA DALAM SOSIOLOGI HUKUM Alvina Juliani Bahri; Nabila Laura; Dwi Khusnatun Nisa; Ichwan Karunia; Anisa Dwi Lestari; Intan rasita; Teki Prasetyo Sulaksono; Susilo Susilo
JURNAL MULTIDISIPLIN ILMU AKADEMIK Vol. 3 No. 2 (2026): JURNAL MULTIDISIPLIN ILMU AKADEMIK (JMIA)  April 2026
Publisher : CV. KAMPUS AKADEMIK PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jmia.v3i2.9826

Abstract

Penelitian ini bertujuan untuk menganalisis keterkaitan antara hukum dan etika dari sudut pandang sosiologi hukum serta fungsinya dalam mengatur dan mengubah perilaku masyarakat. Metodologi yang digunakan adalah penelitian kualitatif dengan pendekatan sosio-legal melalui tinjauan pustaka. Temuan dari penelitian menunjukkan bahwa hukum tidak hanya berfungsi sebagai regulasi formal, tetapi juga sebagai fenomena sosial yang dipengaruhi oleh nilai-nilai, budaya, dan moral dari masyarakat. Hukum berperan sebagai alat kontrol sosial, media pendidikan, dan sarana rekayasa sosial dalam mendorong perubahan sosial menuju arah yang lebih positif. Akan tetapi, efektivitas suatu hukum sangat ditentukan oleh kesadaran hukum masyarakat, kesesuaian dengan nilai-nilai sosial, dan konsistensi dalam penegakan hukum. Ketidakselarasan antara hukum dan etika bisa menyebabkan munculnya ketidakpercayaan masyarakat terhadap hukum yang ada. Oleh sebab itu, dibutuhkan keseimbangan antara hukum dan etika untuk mencapai keadilan dan keteraturan sosial yang berkelanjutan.
Analisa Kemampuan Deep Learning Untuk Deteksi Penyakit Paru Obstruktif Kronik (PPOK) Menggunakan Citra CXR Di RSP Ario Wirawan Salatiga Lilik Lestari; Susilo Susilo; Rudi Setiawan
Jurnal Imejing Diagnostik (JImeD) Vol. 12 No. 2 (2026): JULY 2026
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jimed.v12i2.15569

Abstract

Background: Chronic Obstructive Pulmonary Disease (COPD) represents a monumental global public health challenge, characterized by progressively worsening airflow limitation, high mortality, and substantial morbidity rates. Early and accurate detection plays a pivotal role in managing patient deterioration and improving quality of life. Traditional diagnosis in primary and secondary care heavily relies on expert interpretation of chest X-rays to detect subtle signs of hyperinflation and rule out comorbidities. However, this manual process is notoriously time-consuming, prone to inter-observer variability, and subjective. Consequently, this study aims to develop, optimize, and rigorously evaluate an automated computational detection system for COPD using a tailored Convolutional Neural Network (CNN) architecture based on standard digital X-ray imaging. Methods: A quantitative, experimental computational approach was utilized with a dataset consisting of 276 chest radiograph images. The dataset was partitioned into 143 training images (100 Normal, 43 COPD) and 133 testing images (100 Normal, 33 COPD), deliberately maintaining a class imbalance to reflect real-world clinical prevalence. The CNN architecture was systematically evaluated across multiple hyperparameters, specifically training epochs and learning rates, to identify the absolute optimal model configuration for feature extraction and classification. Model performance was comprehensively measured using accuracy, sensitivity, and specificity metrics derived from confusion matrices. Results: The empirical results demonstrated that the deep learning model achieved its highest testing accuracy of 98.5% at epoch 20 when paired with a learning rate of 0.1. At this optimal convergence state, the model demonstrated exceptional discriminatory power, yielding a sensitivity of 0.98 and a flawless specificity of 1 for the normal class. Conversely, for the critical COPD class, it achieved a sensitivity of 1 (zero false negatives) and a specificity of 0.98. Conclusions: In conclusion, the implemented and optimized CNN architecture provides a highly accurate, robust, and rapid computational tool for COPD screening. With its perfect sensitivity for detecting pathological features, this system holds significant potential for integration as a clinical decision support system, particularly assisting clinicians in rural, high-volume, or under-resourced hospital environments.
Co-Authors Agil Badawi Agus Wiyoso Alvina Juliani Bahri Amalia Amalia Anisa Dwi Lestari Astri Oktaviana Mujiarti Axellina Muara Setyanti Bambang Riyadi Bintang Pajar Ramadhan Candra Fajri Ananda Desvira Zain Dhota Pradipta Dina Anggreni Sarsito Dody Rahayu Prasetyo Dwi Indah Dwi Khusnatun Nisa Endang R Evi Nur Afidoh Ferry Faisal Fitra Endi Fernanda, Fitra Endi Gamaliel K Jarek Hasbi Iskandar Heri Andreas Ichwan Karunia Ilham Kurniawan Imam Gozali Intan Rasita Irma Lusi Nugraheni Isnaini Rahmawati Jesica Ayu Indraswari Khusnul Ashar Kusminarto Kusminarto Lilik Lestari Lokot Muda Harahap Lyan Audiah M. Toasin Asha Mahardika Prasetya Aji Maryanti Setyaningsih Mentari, Ana Mutiara Putri Syahrani Nabila Laura Nayla Azizah Nurhayati Nurhayati Okti Dyah Rahayuningsih Raden Mohamad Herdian Bhakti Rakiman Rakiman Rita Fatma Syafira RP Sigit Fiansyah Rudi Setiawan Samiha Y L Simon Herbeth Beekham Saragih Sisy Farah Adilah siti maimanah siti maimanah Slamet Setia Sudarmin Sudarmin Susi Afriyani Susmirah S Syahrul Afifudin Tamara, Anisia Rianti Tanuri Tanuri Tasya Harsiami Teki Prasetyo Sulaksono Teqi Prasetyo Sulaksono Trista Rima Setya Uci Tri Windarsih Ul Qadri Utin Nina Hermina Yohannes Sardjono Yohannes Sardjono Zaskia Falia Putri Ziya Ibnu wafi