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All Journal Scientia Psychiatrica Sriwijaya Journal of Obstetrics and Gynecology Sriwijaya Journal of Neurology Sriwijaya Journal of Otorhinolaryngology
Dedi Sucipto
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Biochemistry, Genetics & Molecular Biology Dentistry Health Professions Medicine & Pharmacology Neuroscience Nursing Public Health

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Artificial Intelligence for Early Detection of Motor Neuron Disease Using Gait Analysis and Speech Patterns in Pekanbaru, Indonesia Sari Sulistyoningsih; Louisa Istarini; Dedi Sucipto; Serena Jackson; Agnes Mariska; Linda Purnama; Imanuel Simbolon
Sriwijaya Journal of Neurology Vol. 1 No. 2 (2023): Sriwijaya Journal of Neurology
Publisher : Phlox Institute: Indonesian Medical Research Organization

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59345/sjn.v1i1.28

Abstract

Introduction: Motor neuron disease (MND) is a devastating neurodegenerative disorder characterized by progressive muscle weakness, atrophy, and ultimately, paralysis. This study investigated the potential of artificial intelligence (AI) to detect MND in its early stages using gait analysis and speech pattern recognition in a population in Pekanbaru, Indonesia. Methods: A cross-sectional study was conducted at the Neurology Department of a tertiary referral hospital in Pekanbaru, Indonesia. A total of 150 participants aged 40-75 years were recruited and categorized into three groups. Gait analysis was performed using wearable sensors to collect data on stride length, cadence, swing time, stance time, and gait variability. Machine learning algorithms, including support vector machines (SVM), random forest (RF), and deep learning models like convolutional neural networks (CNN), were trained on the combined gait and speech data to classify participants into the three groups. Results: Significant differences were observed in gait parameters between the MND group and the other two groups. Individuals with MND exhibited shorter stride length (p<0.001), slower cadence (p<0.001), increased swing time variability (p=0.002), and reduced stance time (p=0.003). Speech analysis revealed distinct patterns in the MND group, including reduced speech rate (p<0.001), increased pause duration (p=0.004), and decreased vocal intensity (p=0.001). The AI models, particularly the CNN model, demonstrated high accuracy in differentiating individuals with MND from healthy controls and those with other neurological conditions. The CNN model achieved an accuracy of 94.7%, sensitivity of 92%, specificity of 96%, and an area under the receiver operating characteristic curve (AUC) of 0.98. Conclusion: AI-powered gait analysis and speech pattern recognition show promise as a non-invasive and cost-effective tool for the early detection of MND in Pekanbaru, Indonesia. This technology has the potential to improve diagnostic accuracy and facilitate timely intervention, ultimately enhancing the quality of life for individuals with MND.
The Impact of Gestational Diabetes on Long-Term Cognitive Function: A Prospective Cohort Study with Neuroimaging Correlates in Bandung, Indonesia Miranda Aisah; Lestini Wulansari; Vania Delma; Reza Andrianto; Zahra Amir; Dedi Sucipto; Agnes Mariska; Saurie Hernandez
Sriwijaya Journal of Neurology Vol. 2 No. 1 (2024): Sriwijaya Journal of Neurology
Publisher : Phlox Institute: Indonesian Medical Research Organization

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59345/sjn.v1i2.91

Abstract

Introduction: Gestational diabetes mellitus (GDM) is a growing public health concern with potential long-term consequences for both mother and child. Emerging evidence suggests that GDM may impact maternal cognitive function, but the underlying mechanisms remain unclear. This prospective cohort study investigates the association between GDM and long-term cognitive function in mothers, exploring potential neuroimaging correlates. Methods: Pregnant women were recruited from antenatal clinics in Bandung, Indonesia, between 2018 and 2020. GDM was diagnosed using the International Association of Diabetes and Pregnancy Study Groups (IADPSG) criteria. Cognitive function was assessed at 6 months, 1 year, and 3 years postpartum using a comprehensive neuropsychological battery. A subset of participants underwent structural and functional magnetic resonance imaging (MRI) at 3 years postpartum. Results: Women with GDM exhibited lower scores on tests of executive function, processing speed, and memory compared to women without GDM at all follow-up assessments. MRI analysis revealed alterations in brain structure and function inwomen with a history of GDM, including reduced gray matter volume in the prefrontal cortex and hippocampus, and altered functional connectivity within the default mode network. Conclusion: GDM is associated with long-term cognitive impairment in mothers, possibly mediated by structural and functional brain changes. These findings highlight the importance of early identification and management of GDM to mitigate potential long-term cognitive consequences.
The Impact of Gastroesophageal Reflux Disease (GERD) on Pharyngeal Mucosal Changes: A Case-Control Study in Indonesia Dedi Sucipto; Nurul Hanifah; Vidhya Sathyakirti; Louisa Istarini; Syaifudin Syaifudin
Sriwijaya Journal of Otorhinolaryngology Vol. 2 No. 1 (2024): Sriwijaya Journal of Otorhinolaryngology
Publisher : Phlox Institute: Indonesian Medical Research Organization

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59345/sjorl.v1i2.94

Abstract

Introduction: Gastroesophageal reflux disease (GERD) is a prevalent digestive disorder with potential extra-esophageal manifestations, including laryngopharyngeal reflux (LPR). LPR can lead to various pharyngeal mucosal changes, impacting voice quality and overall well-being. This study aimed to investigate the association between GERD and pharyngeal mucosal changes in a population in Indonesia. Methods: A case-control study was conducted at a tertiary hospital in Indonesia, involving 100 participants diagnosed with GERD (cases) and 100 participants without GERD (controls). All participants underwent a comprehensive ear, nose, and throat (ENT) examination, including flexible nasopharyngoscopy, to assess pharyngeal mucosal changes. The Reflux Symptom Index (RSI) questionnaire was used to evaluate the severity of reflux symptoms. Data were analyzed using SPSS software, employing chi-square and logistic regression analyses to determine the association between GERD and pharyngeal mucosal changes. Results: The study found a significantly higher prevalence of pharyngeal mucosal changes in the GERD group compared to the control group (78% vs. 22%, p<0.001). Erythema, edema, and posterior pharyngeal wall cobblestoning were the most common findings in GERD patients. The severity of reflux symptoms, as measured by the RSI, was positively correlated with the presence and severity of pharyngeal mucosal changes. Conclusion: GERD is significantly associated with pharyngeal mucosal changes in the Indonesian population studied. These findings underscore the importance of recognizing and managing LPR in patients with GERD to prevent potential complications and improve quality of life.
Traditional Herbal Remedies Used During Pregnancy in Indonesia: A Qualitative Study Exploring Safety and Efficacy Fifia Ardinanti; Agnes Mariska; Dedi Sucipto
Sriwijaya Journal of Obstetrics and Gynecology Vol. 1 No. 2 (2023): Sriwijaya Journal of Obstetrics and Gynecology
Publisher : Phlox Institute: Indonesian Medical Research Organization

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59345/sjog.v1i1.24

Abstract

Introduction: Traditional herbal remedies are widely used during pregnancy in Indonesia. However, limited information exists regarding their safety and efficacy. This study aimed to explore the types of herbal remedies used, reasons for their use, perceived benefits and risks, and information sources guiding their use among pregnant women in Indonesia. Methods: A qualitative study was conducted involving in-depth interviews with 30 pregnant women residing in three different regions of Indonesia: urban Jakarta, rural West Java, and remote Papua. Participants were recruited through purposive sampling from community health centers and traditional birth attendant networks. Interviews were audio-recorded, transcribed verbatim, and analyzed using thematic analysis. Results: A wide variety of herbal remedies were reported, including ginger, turmeric, tamarind, and various leaf decoctions. Reasons for use included alleviating pregnancy-related complaints (nausea, back pain, fatigue), promoting fetal health, and easing labor. Perceived benefits included natural origin, affordability, and cultural acceptance. Concerns included potential adverse effects on the fetus and lack of scientific evidence. Information sources were primarily family members, traditional healers, and community beliefs. Notable variations in practices were observed across the three regions, reflecting diverse cultural influences and access to healthcare. Conclusion: This study highlights the widespread use of traditional herbal remedies among pregnant women in Indonesia. While perceived as natural and beneficial, safety and efficacy concerns warrant attention. Healthcare providers should engage in open dialogue with pregnant women regarding their herbal use, providing evidence-based information and culturally sensitive counseling to ensure maternal and fetal well-being.
Loneliness as a Lethal Risk Factor: A Five-Year Prospective Survival Analysis of All-Cause Mortality Among Elderly Residents in Indonesian Vertical Public Housing Dedi Sucipto; Brenda Jaleel; Aline Hafidzah; Oliva Azalia Putri
Scientia Psychiatrica Vol. 6 No. 3 (2025): Scientia Psychiatrica
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/scipsy.v6i3.199

Abstract

Introduction: Rapid urbanization in Indonesia has necessitated a shift from horizontal settlements (kampung) to vertical public housing (Rusunawa). While providing shelter, these environments may exacerbate "crowded isolation”. This study investigates the synergistic impact of loneliness, depression, and vertical living constraints on all-cause mortality among the elderly. Methods: We conducted a multi-center, prospective cohort study (2018–2023) involving 1,450 elderly residents (> 60 years) in Jakarta and Surabaya. Loneliness was assessed annually using the UCLA Loneliness Scale, and depression via the GDS-15. The primary environmental exposure was "vertical constraint," defined as living above the 3rd floor (Floors 4–12). We utilized Kaplan-Meier survival curves and Multivariable Cox Proportional Hazards models with time-dependent covariates to estimate Hazard Ratios (HR), adjusting for sociodemographic factors and a composite Socioeconomic Status (SES) index. Results: Of 1,398 baseline participants, 218 deaths occurred over 6,890 person-years (15.6% mortality). Severe loneliness was an independent predictor of mortality (Adjusted HR: 1.89; 95% CI: 1.42–2.51). A significant interaction was observed between loneliness and vertical constraint (p=0.003). While residents on higher floors had lower baseline mortality due to selection bias (the "healthy resident effect"), loneliness in this subgroup amplified mortality risk substantially (Interaction HR: 1.76; 95% CI: 1.21–2.55), effectively negating their physical survival advantage. Conclusion: Loneliness is a potent predictor of mortality in Indonesian vertical slums, with lethality accelerated by the physical entrapment of high-floor living. Structural interventions are urgently required to mitigate this "vertical isolation."
Co-Authors Agnes Mariska Aline Hafidzah Brenda Jaleel Fifia Ardinanti Imanuel Simbolon Lestini Wulansari Linda Purnama Louisa Istarini Miranda Aisah Nurul Hanifah Oliva Azalia Putri Reza Andrianto Sari Sulistyoningsih Saurie Hernandez Serena Jackson Syaifudin Vania Delma Vidhya Sathyakirti Zahra Amir