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Community Service on Health Issue Stunting in Jelbuk Village Iqbal Sabilirrasyad; Agung Muliawan; M Faiz Firdausi; Nur Andita Prasetyo; Ferry Wiranto
RECORD: Journal of Loyality and Community Development Vol. 1 No. 1 (2024): January - April 2024
Publisher : Medikun Publisher

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Abstract

Stunting is a condition that disrupts a child's growth and development, leading to a discrepancy between their height and age. Indonesia is among the countries still grappling with this issue. Based on observational data collected during field visits to Jelbuk Village, Jember City, the researchers found that a majority of toddlers that live in the village are categorized as experiencing stunting. Consequently, the researchers organized counseling sessions and motor skills screening activities for children. The primary objective of these activities is to educate parents about stunting and how important to monitor children's development as they grow. The screening of children's development involves the use of the Pre-Developmental Screening Questionnaire (KPSP), consisting of 9-10 questions assessing a child's developmental milestones. From the screening activities using the Developmental Pre-Screening Questionnaire, the following results were obtained: out of 25 toddlers who attended the counseling, 6 were identified with developmental deviations, 4 were considered doubtful, and 15 were developing appropriately
DETEKSI ANOMALI VOLUME DAN HARGA PADA SAHAM ASURANSI IDX MENGGUNAKAN ISOLATION FOREST Iqbal Sabilirrasyad
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 4 (2026): August 2026 (1)
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i4.7033

Abstract

Asuransi Indonesia pernah alami kegagalan besar (Jiwasraya 2020-an, Prolife diinvestigasi). Hal itu mempertegas pentingnya pengawasan ketat pada emiten asuransi di BEI, terutama yang berkapitalisasi kecil dan likuiditas timpang. Penelitian ini menerapkan Isolation Forest untuk mendeteksi anomali volume dan harga saham sektor asuransi IDX menggunakan data harian End-of-Day periode 2 Januari 2020 hingga 29 Mei 2026. Audit likuiditas meloloskan 14 dari 18 saham (77,8%) ke tahap pemodelan; 4 saham (LPGI, ASRM, LIFE, ABDA) dikeluarkan karena proporsi hari tanpa transaksi berlebihan. Tiga fitur, yaitu log return, rasio volume relatif terhadap MA-20, dan rentang intraday relatif, melatih model per saham dengan ambang anomali pada persentil ke-5; fitur keempat yang direncanakan, yaitu rasio ukuran transaksi, tidak dapat dihitung karena keterbatasan data. Model mengidentifikasi 1.036 hari anomali (rata-rata 5,0% per saham, akibat konstruksi ambang batas, bukan temuan independen). Triangulasi terhadap kalender peristiwa hanya mengonfirmasi 42 anomali (4,1%), sementara enam anomali paling ekstrem tidak berkaitan dengan peristiwa mana pun. Anomali didominasi pola idiosyncratic (97,5% dari hari beranomali) dibanding sector-wide (2,5%), dengan satu hari ekstrem (5 Januari 2026) mencatat keserentakan penuh pada seluruh 14 saham yang memerlukan verifikasi lanjutan. Temuan ini mendukung kelayakan Isolation Forest sebagai alat pemantauan awal bagi investor dan regulator, dengan batasan metodologis yang ditandai eksplisit. Anomalies were dominated by idiosyncratic patterns (97.5% of anomalous days) rather than sector-wide patterns (2.5%), with one extreme day (January 5, 2026) showing complete synchrony across all 14 stocks, which requires further verification. These findings support the viability of Isolation Forest as an early-warning monitoring tool for investors and regulators, with its methodological limitations explicitly noted.