Navigating Recovery, Stigma, and Mood Fluctuations: A Phenomenological Study of Adolescents with Bipolar Disorder in Yogyakarta

Bipolar disorder in adolescence can disrupt emotional regulation, identity development, and social functioning during a critical transition to adulthood. This phenomenological study explored adolescents’ lived experiences of bipolar disorder within the mental health recovery process in Yogyakarta. Three adolescents diagnosed with bipolar disorder participated in in-depth interviews complemented by observational notes. Data were analyzed using an interactive qualitative analysis approach. Participants understood recovery as a dynamic, ongoing effort to manage emotions, rebuild routines, and maintain hope rather than complete symptom remission. Mood fluctuations were experienced as rapid, intense, and unpredictable shifts that drained energy, interfered with school and daily activities, and strained relationships with peers and family. Stigma emerged as a central psychosocial barrier: public stigma and environmental misunderstanding, together with self-stigma, promoted concealment, social withdrawal, and ambivalence toward seeking help. Despite these pressures, participants described coping and support as protective resources, including self-monitoring and reflection, journaling, routine management, and support from family and mental health professionals. These findings imply that adolescent services should be recovery-oriented, integrating mood monitoring and sleep/routine stabilization with stigma reduction, family psychoeducation, school-based mental health literacy, and accessible psychosocial support. Programs that strengthen coping skills and supportive relationships are recommended to improve sustained adjustment and recovery trajectories.

METRIK-MATH: Inovasi Media Pembelajaran Etnomatematika dalam Kearifan Lokal Candi Borobudur melalui Sistem Math City Maps Berbasis Hybrid Learning

This research helps students understand mathematics learning, which they often consider difficult and intimidating. The study links mathematics learning to culture, referred to as ethnomathematics learning, by using Borobudur Temple as a local cultural object. The purpose of this research is to develop Math City Map learning media based on Hybrid Learning in ethnomathematics learning within the local wisdom of Borobudur Temple to help students learn mathematics easily and variably, analyze the influence of Borobudur Temple's local wisdom in ethnomathematics learning, and align technological advances in the mathematics learning process. The development method used is ADDIE; however, the researcher only utilizes three stages: Analyze, Design, and Development. The results of this study identified seven structures at Borobudur Temple that the researcher processed data from to be implemented into the Math City Map, namely garden benches, location maps, statue and site information boards, Jataka II reliefs, ojif, temple stairs, and boundary fences (bollards), which are applications of geometry topics, namely plane and solid shapes

Lightweight Hybrid Linformer-Mamba U-Net for Efficient Retinal Microaneurysm Segmentation

Diabetic retinopathy is a major microvascular complication of diabetes and a leading cause of vision loss among the working-age population. Microaneurysms (MAs), as the earliest clinical indicators of disease progression, remain challenging to segment due to their small size, low contrast, and extreme class imbalance. This study proposes a lightweight hybrid U-Net architecture for microaneurysm segmentation in retinal fundus images, designed to balance detection sensitivity and computational efficiency for deployment in resource-constrained environments. The proposed architecture integrates depthwise separable convolutions for efficient local feature extraction, a Transformer-Lite bottleneck based on Linformer self-attention for global contextual modeling, and a Mamba State Space Model (SSM)–based decoder to enhance feature propagation and spatial continuity.  The research contribution of this work is threefold: the introduction of an efficient hybrid U-Net combining Linformer and Mamba SSM for microaneurysm segmentation; a deployment-oriented evaluation protocol that explicitly distinguishes patch-level learning behavior from full-image reconstruction performance; and a transparent analysis of false positive behavior under extreme background dominance.  Experiments were conducted on the IDRiD dataset, consisting of 81 retinal images, using patient-level data splitting prior to patch extraction to prevent data leakage.  The results indicate that while patch-level evaluation demonstrates effective lesion-centric learning, deployment-realistic full-image evaluation reveals a notable performance degradation caused by false positive accumulation in extensive background regions. Nevertheless, the model maintains high recall, indicating preserved lesion sensitivity. These findings suggest that lightweight architectural design can deliver meaningful performance and is well suited for screening-oriented decision-support systems that prioritize efficiency and sensitivity

Enhancing critical thinking and soft skills in generation z psychology students through project-based learning: Evidence from a board game intervention

Generation Z students are characterized by impatience, fear of missing out (FOMO), low tolerance for conventional learning methods, and difficulties in collaboration during conflict situations. This study aims to implement a Project-Based Learning (PjBL) design for first-semester Psychology students at UPI in the History and Schools of Psychology course, with the goal of enhancing critical thinking through Higher-Order Thinking Skills (HOTS) and developing soft skills. The research employed a mixed methodology combining action research with a single-group pretest–posttest experimental design. Students were tasked with creating board games based on psychological theorists. Evaluation and reflection were conducted periodically by both instructors and students, with instructors providing three formal review sessions. Results indicate that PjBL significantly improves HOTS, leading to enhanced learning outcomes. Statistical analysis revealed significant differences (p < .001) across Review 1, Review 2, and Final Review scores. Qualitative coding of student reflections further demonstrated notable improvements in soft skills, particularly in managing personal and group conflicts. These findings suggest that PjBL is an effective pedagogical strategy for fostering critical thinking and collaborative competencies among Generation Z learners

Bad News, Bad Moves? How Emotion Regulation and Doomscrolling Shape Aggression

Cyber aggression in the context of social media has been widely studied. However, research explicitly examining the spillover of aggression from social media into real world behavior through news exposure, particularly in the form of initial unprovoked aggression, remains limited. Doomscrolling is assumed to increase initial unprovoked aggression, whereas emotion regulation is expected to attenuate its intensity. This study aimed to examine the moderating roles of emotion regulation and doomscrolling in the effect of news type on initial unprovoked aggression. A mixed experimental design with a quantitative approach was employed, involving 157 participants. Doomscrolling was measured using a self-report, whereas initial unprovoked aggression was assessed using the Competitive Reaction Time Task (CRTT). Data were analyzed using a linear mixed-effects model (LMM) in RStudio. The results indicated that news type did not have a significant effect on initial unprovoked aggression (B = 0.16, SE = 0.20, p = .429, 95% CI [−0.22, 0.60]). The three-way interaction among news type, emotion regulation strategy, and doomscrolling was also not significant, F(3, 306) = 1.65, p = .179

Hylocereus polyrhizus Fruit Peel Extract as a Hepatoprotective Agent: Histopathological Profile Study in Rattus norvegicus

Paracetamol overdose is a major cause of acute liver failure, necessitating the search for effective natural antidotes. The peel of Red Dragon Fruit (Hylocereus polyrhizus) is an abundant agro-waste product rich in betacyanins and flavonoids, yet its potential as a sustainable hepatoprotective agent remains underexplored. This study aimed to valorize this waste product by evaluating the hepatoprotective activity of H. polyrhizus peel extract against paracetamol-induced liver injury in Wistar rats. Twenty-five male Wistar rats were divided into five groups: Negative Control, Positive Control (Paracetamol-induced), and three treatment groups pretreated with the extract (100, 200, and 300 mg/kg BW) for 7 days. Liver injury was assessed quantitatively based on necrosis, ballooning degeneration, and steatosis scores. The Positive Control group exhibited severe hepatocellular damage (p<0.05). However, pretreatment with the extract significantly attenuated this damage in a dose-dependent manner. The dose of 200 mg/kg BW demonstrated superior efficacy, restoring hepatic architecture to a state statistically comparable to the healthy control (p>0.05). The study confirms that H. polyrhizus peel extract effectively mitigates paracetamol toxicity, with 200 mg/kg identified as the optimal dose. This research contributes to the pharmaceutical field by providing scientific evidence for repurposing fruit peel waste as a potent, cost-effective, and eco-friendly source of hepatoprotective compounds

Analisis Pengelompokan Skripsi Mahasiswa Fakultas Sains Institut Teknologi Sumatera dengan Metode Agglomerative Hierarchical Clustering dan K-Means Clustering

Skripsi merupakan karya ilmiah mahasiswa sarjana berdasarkan penelitian dalam bidang tertentu. Di Fakultas Sains Institut Teknologi Sumatera (Itera), jumlah skripsi yang terus meningkat belum didukung system pengelompokan topik yang sistematis. Penelitian ini menerapkan metode Agglomerative Hierarchical Clustering (AHC) untuk mengelompokkan skripsi berdasarkan kemiripan topik. Data yang digunakan berupa 575 judul skripsi dari sembilan program studi di Fakultas Sains ITERA tahun 2024. Tahapan penelitian meliputi preprocessing teks, perhitungan bobot dengan metode TF-IDF, dan reduksi dimensi menggunakan Principal Component Analysis (PCA). Pengelompokan dilakukan dengan tiga metode linkage, yaitu average, single, dan complete, serta pengukuran kemiripan menggunakan cosine distance. Hasil menunjukkan bahwa metode average linkage memberikan hasil terbaik dengan nilai silhouette coefficient sebesar 0.3091 pada titik potong 0.86. Topik tiap cluster ditentukan dari lima kata kunci dominan berdasarkan nilai TF-IDF tertinggi sebagai label representatif. Penelitian ini diharapkan menjadi langkah awal dalam pengembangan sistem pengelompokan topik skripsi yang lebih terstruktur dan informatif.   Analysis of Student Thesis Clustering in the Faculty of Science, Sumatra Institute of Technology, Using the Agglomerative Hierarchical Clustering Method   Type your abstract here (10 pt). spasi 1Abstracts are written in two languages, namely Indonesian and English, typed in 1 paragraph 1 space of 150-250 words, containing research points, such as objectives, methods and research results.  An undergraduate thesis is a scientific work by students based on research in a specific field. At the Faculty of Science, Institut Teknologi Sumatera (ITERA), the increasing number of theses has not yet been supported by a systematic topic grouping system. This study applies the Agglomerative Hierarchical Clustering (AHC) method to group theses based on topic similarity. The data used consists of 575 thesis titles from nine study programs at the Faculty of Science ITERA in 2024. The research stages include text preprocessing, term weighting using the TF-IDF method, and dimensionality reduction using Principal Component Analysis (PCA). Clustering was performed using three linkage methods: average, single, and complete, with similarity measurement using cosine distance. The results show that the average linkage method provided the best result with a silhouette coefficient value of 0.3091 at a cutting point of 0.86. The topic of each cluster was determined based on five dominant keywords with the highest TF-IDF values as representative labels. This study is expected to serve as an initial step in developing a more structured and informative thesis topic grouping syste

Mandatory arbitration clause vs consumer class action: Circumvention of consumer’s access to justice in Indonesia

Introduction to the problem: The emergence of the mandatory arbitration clause in consumer contracts raises the issue of consumer access to justice, for it prevents consumers from filing claims in general court. This practice might potentially close the opportunity for consumers to file a class action claim. Purpose/Study Objectives: This article aims to analyse how the mandatory arbitration clause threatens consumer access to justice, especially the future opportunity to file a class action. Since the Constitutional Court decision favoured freedom of contract and arbitration clauses, this article will attempt to find the possible approach to protect consumers amidst the practice of mandatory arbitration clauses. Design/Methodology/Approach: This paper uses a normative approach, and the data used in this paper are secondary data that consist of legal materials such as statutes, regulations, case law and doctrines. Findings: Mandatory arbitration clause poses threat to consumer access to justice. It limits the procedural right of the consumer to file a class action claim in a general court, while the current arbitration system chosen by the corporation in the clauses has a huge barrier for the consumer to access. The possible approaches to protect consumers are by challenging the validity of arbitration agreements through the undue influence doctrine and by establishing a more consumer-friendly arbitration body. Paper Type: Research Articl

Psychological Dynamics of Generation Z Employees: The Role of Adjustment in Maintaining Work-Life Balance

 Work–life balance has become a critical issue in contemporary workplaces, particularly for Generation Z employees who must navigate both work demands and personal-life needs. This study examined whether adjustment predicts work–life balance among Generation Z employees in Indonesia. A quantitative cross-sectional design was used with 269 employees aged 18–27 years. Data were analyzed using simple linear regression. Adjustment significantly predicted WIPL, PLIW, and WEPL, but did not significantly predict PLEW. Overall, the findings suggest that adjustment is more closely linked to reducing inter-role conflict than to enhancing cross-domain enrichment, underscoring the importance of individual adjustment in maintaining work–life balance. Practically, organizations should strengthen Gen Z employees’ adjustment through onboarding, mentoring, and coping-skills training to reduce work–life conflict and support healthier work–life balance

Analisis Risiko Cuaca Ekstrem di Provinsi Aceh Menggunakan Pendekatan Volatilitas, Value at Risk (VaR), dan Extreme Value Theory (EVT)

Penelitian ini bertujuan untuk menganalisis tingkat risiko cuaca ekstrem pada 23 kabupaten/kota di Provinsi Aceh dengan menggunakan pendekatan kuantitatif berbasis konsep aktuaria, meliputi volatilitas dan Value at Risk (VaR). Cuaca ekstrem menjadi ancaman signifikan bagi Aceh karena letak geografisnya yang dipengaruhi angin muson, kondisi pesisir, serta topografi yang beragam. Data yang digunakan berupa skor indeks risiko cuaca ekstrem yang kemudian dianalisis melalui tahapan perhitungan volatilitas menggunakan standar deviasi, estimasi VaR dengan metode kuantil historis pada tingkat kepercayaan 95%, serta klasifikasi risiko kategorikal berdasarkan nilai ambang yang sesuai dengan karakteristik data. Hasil penelitian menunjukkan bahwa 15 wilayah berada pada kategori risiko tinggi dan 8 wilayah berada pada kategori risiko sedang, dengan skor tertinggi dimiliki Aceh Besar (36,41) dan terendah Kota Sabang (25,3). Nilai volatilitas sebesar 3,21 mengindikasikan adanya fluktuasi risiko yang moderat antar wilayah. Estimasi VaR sebesar 26,27 menunjukkan batas minimum risiko pada tingkat kepercayaan 95%. Temuan ini memperlihatkan bahwa wilayah pesisir dan dataran rendah memiliki tingkat kerentanan lebih tinggi dibanding wilayah pegunungan. Secara keseluruhan, analisis volatilitas dan VaR terbukti efektif sebagai alat ukur kuantitatif untuk mendukung prioritas mitigasi bencana dan perencanaan adaptasi iklim berbasis data di Provinsi Aceh