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All Journal Jurnal Sains Matematika dan Statistika Al Ishlah Jurnal Pendidikan BAREKENG: Jurnal Ilmu Matematika dan Terapan Unisda Journal of Mathematics and Computer Science (UJMC) Journal on Education Jurnal Mandala Pharmacon Indonesia MES: Journal of Mathematics Education and Science INFOKUM Alifmatika: Jurnal Pendidikan dan Pembelajaran Matematika GANDRUNG: Jurnal Pengabdian Kepada Masyarakat Journal of Computer Networks, Architecture and High Performance Computing Mathematics and Applications (MAp) Journal Jurnal Ekonomi Jurnal Ilmiah MADIYA: Masyarakat Mandiri Berkarya International Journal of Research in Vocational Studies (IJRVOCAS) Jurnal Sains dan Teknologi SWARNA JGEN : Jurnal Pengabdian Kepada Masyarakat SWARNA: Jurnal Pengabdian Kepada Masyarakat Journal of Multidisciplinary Sustainability Asean Islamic Studies in the World
Harizahayu, Harizahayu
Politeknik Negeri Medan
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ANALISIS GENERAL LINIER MODEL DENGAN DISTRIBUSI NORMAL PADA KASUS IBU HAMIL DI RUMAH BERSALIN SADAN MEDAN SELAYANG Harizahayu, Harizahayu; Friendly, Friendly; Putra, Purwa Hasan
MES: Journal of Mathematics Education and Science Vol 9, No 1 (2023): Edisi Oktober
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v9i1.7769

Abstract

Pemodelan matematika denganpendekatan General Model Linier dengan Distribusi Normal untuk mengidentifikasi faktor-faktor yang berpengaruh terhadap proses persalinan dan hasilnya di Rumah Bersalin SADAN Medan Selayang. GLM (Generalized Linear Model) yang berbasis pada analisis regresi namun dengan tambahan 3 komponen utama : Ausmsi Distirbusi, Komponen Sistematik dan Fungsi Penghubung merupakan perluasan model linear biasa. Dalam penelitian ini diasumsikan distribusinya adalah distribusi normal sehingga GLM yang dipakai adalah Model Linear Normal dengan jenis respon  merupakan pertambahan BB (berat badan)  Ibu selama Hamil adalah kontinu dengan fungsi penghubung Identitas. Dengan tanpa memperhatikan struktur korelasi maka dari hasil analisis disimpulkan bahwa variable kovariat ANC, Ibu dengan kedatangan di K1 2 kali dan K2 juga 2 kali mempengaruhi penambahan BB ibu hamil dibuktikan dengan nilai p-value yang 0,05. Jadi tidak berbeda jauh dengan kesimpulan awal bahwa Antenatal Care (ANC) dan grup mempengaruhi penambahan BB ibu hamil. Sehingga diperoleh model sebagai berikutY=1.16855+1.51730X_(1_A)-0.29142X_(2_B)-0.84033X_(3_C)-1.23650X_(4_D)..
The Community Partnership Service Utilization of Social Media for Promoting Binjai Batik Products at UMKM Tan Collection, Binjai District, Binjai City, North Sumatra Lase, Yuyun Yusnida; Andam Lukcyhasnita; Santi Prayudani; Harizahayu; Friendly
GANDRUNG: Jurnal Pengabdian Kepada Masyarakat Vol. 7 No. 1 (2026): GANDRUNG: Jurnal Pengabdian Kepada Masyarakat
Publisher : Fakultas Olahraga dan Kesehatan, Universitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/gandrung.v7i1.6332

Abstract

The creative economy serves as a vital platform for promoting and preserving local cultural heritage. UMKM Tan Collection, a creative enterprise producing Binjai's signature "rambutan batik," faces significant marketing challenges as the sole producer of handcrafted rambutan batik in the city. Digital visibility remains particularly low, with minimal online information and motif documentation compared to other batik varieties, resulting in unstable market demand. This community service program aims to enhance the digital promotion and sales of rambutan batik through social media content creation training. The methodology includes problem identification, CapCut video editing workshops, content development assistance, and implementation evaluation. Results demonstrate improved digital literacy among artisans, creation of engaging social media content, and enhanced online brand visibility. The program successfully established a sustainable digital marketing framework, enabling continuous product promotion and cultural preservation through digital platforms.
QSAR Classification and Molecular Docking for Identifying BCL-2 Inhibitor Candidates Harfita, Nur Laily; Harizahayu, Harizahayu
Jurnal Mandala Pharmacon Indonesia Vol. 11 No. 2 (2025): Jurnal Mandala Pharmacon Indonesia 
Publisher : Program Studi Farmasi Universitas Mandala Waluya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35311/jmpi.v11i2.903

Abstract

B-cell lymphoma 2 (BCL-2) is an anti-apoptotic protein implicated in the progression and chemoresistance of multiple cancers. This study integrates QSAR-based machine learning (ML) classification and molecular docking to identify potential BCL-2 inhibitors. The Gradient Boosting classifier trained on PubChem fingerprints (881 bits) achieved the best predictive performance (accuracy: 83.52%, ROC-AUC: 0.8829). External virtual screening further identified high-probability active compounds, including Beclomethasone Dipropionate (0.9880) and Ulipristal Acetate (0.9866), highlighting their potential for drug repurposing. Docking analysis showed that Ulipristal Acetate exhibited the strongest binding affinity (–8.187 kcal/mol), forming a hydrogen bond with GLY A:145 and engaging key residues within the BH3-binding pocket of BCL-2. These findings demonstrate the effectiveness of QSAR-ML–assisted virtual screening in prioritizing repurposable candidates for BCL-2 inhibition.
Pengaruh Distribusi Data Terhadap Hasil Uji Korelasi Studi Pada Uji Pearson Product Moment, Rank Spearman, dan Rank Kendall Tau Ratna Yuniarti; Hartiani Hartiani; Harizahayu Harizahayu
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 11 No 1 (2025): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department, Faculty of Sciences and Technology Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v11i1.9439

Abstract

Correlation analysis is used if you want to know whether there is a correlation between two phenomena. To determine the type of correlation to be used, researchers need to consider whether or not the assumption of normality and data characteristics are met. The purpose of this study was to compare the results of the analysis using several correlation tests with both parametric and non-parametric approaches. The method used is to provide data simulation with three types of data characteristics, namely normal, skewed and data containing outliers. The test used is the correlation in the parametric approach with the Pearson Product Moment Test, while for the non-parametric approach is the Spearman Rank and Kendall Tau Rank tests. Furthermore, a case study is given. The results show that in correlation testing without considering data distribution and data characteristics. Can produce inaccurate conclusions.
Pemanfaatan Canny Edge Detection untuk Pembacaan OMR Survey 7 Kebiasaan Anak Indonesia Hebat Friendly Friendly; Harizahayu Harizahayu; Purwa Hasan Putra
INSOLOGI: Jurnal Sains dan Teknologi Vol. 5 No. 1 (2026): Februari 2026
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/insologi.v5i1.6705

Abstract

The 7 Kebiasaan Anak Indonesia Hebat program is one of the priority program of the Ministry of Primary and Secondary Education of the Republic of Indonesia. It aims to develop students with strong academic ability, good behavior, and strong character. The program is implemented in all primary and secondary schools, and thus large amounts of data must be summarized for monthly reports. Urban schools often use Google Forms or digital applications to record students’ activities, while schools in smaller towns or rural areas still rely on paper forms. Limited access to smartphones and internet connections among parents makes online data collection difficult. Consequently, teachers must manually summarize data using spreadsheet applications, increasing their workload—especially when managing many students. This study proposes the use of Canny Edge Detection to automate data processing from OMR (Optical Mark Recognition) sheets. By scanning or photographing filled OMR sheets, the system can accurately read and convert students’ responses into digital data. This method allows teachers to digitize the reporting process and reduce manual work. Using this method, the accuracy of reading the OMR sheets can reach 81% while the need of informing the parents to fill the form correctly since some tested data shown recall data reached 68%.
The Role of Energy Storage in Climate Change Mitigation: Engineering Solutions for Enhancing Renewable Energy Integration Buang, Nursahar; Hussain, Sara; Harizahayu, Harizahayu
Journal of Multidisciplinary Sustainability Asean Vol. 3 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijmsa.v3i2.3577

Abstract

Background. Climate change mitigation remains a pressing global challenge, with renewable energy adoption emerging as a critical strategy to reduce greenhouse gas emissions. However, the intermittent nature of renewable sources such as solar and wind limits their effectiveness and reliability in energy supply. Energy storage systems have the potential to address these challenges by stabilizing power output, enhancing grid resilience, and enabling more extensive integration of renewable resources. Purpose. This study aims to investigate the role of engineering solutions in energy storage for supporting renewable energy integration and advancing climate change mitigation goals. Method. A mixed-methods approach was employed, combining literature review, technical performance analysis, and comparative case studies of energy storage technologies including batteries, pumped hydro, and thermal storage systems. Data were collected on system efficiency, storage capacity, scalability, and deployment outcomes in diverse energy networks. Results. Results indicate that energy storage significantly improves renewable energy utilization, reduces curtailment, and contributes to grid stability. Advanced battery technologies and hybrid storage systems demonstrated the highest potential for large-scale integration, while engineering optimization enhanced system efficiency and reliability. Conclusion. The study concludes that integrating energy storage solutions is essential for effective climate change mitigation, providing both technical and strategic pathways to accelerate renewable energy adoption and enhance sustainable energy infrastructure.
Islamic Psychology Interventions for Enhancing Student Resilience and Mental Well-being in Modern Educational Settings Ahmed Al-Mansoori; Mariam Al-Jassim; Harizahayu Harizahayu
Islamic Studies in the World Vol. 2 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/isw.v2i6.3020

Abstract

This study examines the role of Islamic psychology interventions in strengthening student resilience and mental well-being in contemporary educational settings. Growing concerns about rising stress, anxiety, and emotional instability among students highlight the need for culturally grounded and spiritually informed mental health support. Islamic psychology, with its integrative view of the human soul (nafs), cognition, emotion, and spiritual consciousness, offers a holistic framework that complements modern psychological approaches. Concepts such as tawakkul (trust in God), sabr (patience), dzikr (mindfulness of God), and emotional self-regulation rooted in prophetic tradition provide alternative pathways for promoting resilience and well-being. The study aims to identify effective Islamic psychology-based interventions and evaluate their relevance and applicability within modern school contexts. A qualitative design was used, involving document analysis of classical and contemporary Islamic psychology literature, thematic analysis of intervention models, and semi-structured interviews with Islamic psychologists, school counsellors, and educators. The multi-source data allow for an in-depth exploration of both theoretical foundations and practical school-based applications. The findings indicate that Islamic psychological interventions enhance resilience through three primary mechanisms: strengthening spiritual coping strategies, cultivating emotional regulation through reflective practices, and reinforcing positive self-concept grounded in divine purpose. Schools implementing these approaches report improvements in students’ stress management, interpersonal relationships, and overall emotional well-being. The study concludes that integrating Islamic psychology into school-based mental health programs provides a culturally responsive and spiritually enriching alternative for student support. The findings highlight the potential of Islamic psychological principles to bridge faith-based values and contemporary mental health needs in diverse educational environments.
Co-Authors Abdul Manap Abduloh Abduloh Afrih Lia, Naila Fikrina Ahmed Al-Mansoori Amanda, Sharina Amirul Syah Andam Lukcyhasnita Annisah Annisah Arifin, Ardian Berti Sari Br Sembiring Buang, Nursahar Catur Budi Susilo Cici Handayani, Cici Emy Yunita Rahma Pratiwi, Emy Yunita Rahma Etty Zuliawati Zed Eva Solina Gulton F. Friendly Fatmi, Yulia Ferdinan Rinaldo Tampubolon Ferdinand R. Tampubolon Firda Utami, Silvia Friendly Friendly, Friendly Gamar Al Haddar Harfita, Nur Laily Hartiani Hartiani Hastuty, Widy Hermanto, Koko Hudaningsih, Nurul Hussain, Sara Iksan Adiasa LETASADO, MUHAMAD RUSADI Mariam Al-Jassim Mas'ud Muhammadiah Minasari Nasution Muhammad Yusuf P, Gipari Royen Prayudani, Santi Purwo Seputro, Bintarto Putra, Purwa Hasan Putu Doddy Heka Ardana Rahmat Widia Sembiring - Ratna Yuniarti Ratna Yuniarti Roinah Roinah Ruskartina, Eki Sa'odah Saodah Sakina, Cici Putri Sembiring, Rahmat Widya Sembiring, Zakaria Sipayung, Tumini Surbakti, Benar Tarigan, Nirwaty Wiwin Sry Adinda Banjarnahor Yuyun Yusnida Lase Zakaria Sembiring Zakaria Sembiring Zakia Fadila