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Pengembangan Platform Konseling Mahasiswa Berbasis Sistem Informasi sebagai Inovasi Layanan Psikologis Kampus Amaliyah, Shofwatun; Rahayu, Puspita Puji; Sumantiawan, Dody Indra
Psycho Aksara : Jurnal Psikologi Vol 4 No 1 (2026): Volume 4, Nomor 1, Januari 2026
Publisher : LEMBAGA PENELITIAN DAN PENGABDIAN MASYARAKAT UNIVERSITAS NAHDLATUL ULAMA BLITAR

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/psychoaksara.v4i1.2569

Abstract

Peningkatan tuntutan akademik dan kompleksitas kehidupan mahasiswa berdampak pada meningkatnya masalah psikologis, khususnya stres akademik, kecemasan, dan kesulitan penyesuaian diri, menuntut perguruan tinggi untuk menyediakan layanan konseling yang adaptif dan mudah diakses. Namun, akses terhadap layanan konseling di perguruan tinggi masih terbatas oleh faktor waktu, stigma, dan ketersediaan tenaga profesional. Penelitian ini bertujuan mengembangkan dan mengevaluasi platform konseling mahasiswa berbasis sistem informasi sebagai inovasi layanan psikologis kampus. Penelitian menggunakan metode mixed-method evaluatif dengan desain explanatory sequential, yang diawali dengan pengumpulan dan analisis data kuantitatif, kemudian diperdalam melalui data kualitatif. Subjek penelitian terdiri dari 30 mahasiswa yang menggunakan platform konseling serta 2 psikolog dan 1 konselor kampus. Pada tahap kuantitatif dilakukan pengukuran tingkat kegunaan, kepuasan, dan persepsi kebermanfaatan layanan pengguna platform. Tahap kualitatif dilakukan melalui wawancara mendalam untuk mengeksplorasi pengalaman, kelebihan, dan tantangan implementasi platform. Hasil penelitian menunjukkan bahwa platform konseling memiliki tingkat penerimaan yang tinggi, dinilai mudah digunakan, serta efektif dalam meningkatkan akses layanan psikologis mahasiswa. Temuan kualitatif menguatkan hasil tersebut dengan menyoroti kemudahan akses, fleksibilitas layanan, serta potensi platform dalam memperluas jangkauan konseling, meskipun masih terdapat tantangan terkait penyempurnaan platform layanan, kesiapan pengguna dan etika layanan digital. Penelitian ini menyimpulkan bahwa platform konseling berbasis sistem informasi layak digunakan sebagai inovasi layanan psikologis kampus dengan rekomendasi penguatan regulasi, literasi digital, dan integrasi layanan luring.
Faktor-Faktor yang Berhubungan dengan Dukungan Masyarakat Terhadap Program Wingko (Wolbachia ing Kota Semarang) Mayadilanuari, Aerrosa Murenda; Nurvita, Silvia; Sumantiawan, Dody Indra; Kurniawan, Dhieo
JURNAL RISET KESEHATAN POLTEKKES DEPKES BANDUNG, Online ISSN 2579-8103 Vol 18 No 1 (2026): Jurnal Riset Kesehatan Poltekkes Depkes Bandung
Publisher : Poltekkes Kemenkes Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34011/juriskesbdg.v18i1.3033

Abstract

Background: Dengue fever (DF) remains a persistent public health threat in Semarang City, with 404 reported cases in 2023. To address this issue, the WINGKO Program (Wolbachia ing Kota Semarang) was launched in 2023 as a vector control initiative involving the release of Aedes aegypti mosquitoes inoculated with Wolbachia bacteria. Objective: This study aimed to analyze the factors associated with public support for the WINGKO program. Methods: A cross-sectional study was conducted among 80 residents of RW 2, Meteseh Village, Tembalang District, using a structured questionnaire and purposive sampling technique. Data were analyzed using the Chi-Square test and Pearson correlation to determine the factors influencing community support for the WINGKO Program. Results: The results showed that residents who had lived in Semarang for more than five years were more likely to support the program (OR 3.590, 95% CI 1.247–10.330, p = 0.015). Participants with higher education levels were three times more likely to support the program (OR 3.626, p = 0.006). A history of dengue infection (OR 2.878, p = 0.035) and prior involvement as a Wolbachia Foster Parent (OTA) (OR 3.093, p = 0.044) were also significantly associated with higher program support. In contrast, variables such as gender and household size were not significantly related to support for the program. Conclusion: This research highlights the importance of targeted community engagement strategies that consider educational and experiential factors to strengthen public acceptance.
Artificial Intelligence in Monetary Response: The Role of Investor Sentiment in the Effectiveness of Bank Indonesia’s Interventions Sumantiawan, Dody Indra; Abdillah , M. Zakki; Muhammad Kholilurrahman
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 2 (2026): JUTIF Volume 7, Number 2, April 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.2.5184

Abstract

Exchange rate stability is a core pillar of macroeconomic resilience, especially for emerging economies like Indonesia. The effectiveness of Bank Indonesia’s (BI) monetary interventions in stabilizing the Rupiah depends not only on policy instruments but also on market perceptions and investor sentiment. This study examines the relationship between investor sentiment and the effectiveness of BI’s interventions by integrating Natural Language Processing (NLP), event study, and moderated regression analysis. The dataset spans 2023–2025 and includes daily exchange rate data, an investor sentiment index derived from financial forums and business news using VADER and TextBlob algorithms, and BI intervention records. An event study with a ±5 day window evaluates the short-term impact of interventions on exchange rate returns, while moderated regression analyzes the interaction between sentiment and interventions. Results indicate that BI interventions produce short-term exchange rate recovery, with a cumulative average abnormal return (CAAR) of 0.55% on the third day after intervention. Regression findings show that investor sentiment significantly influences Rupiah movements (p < 0.01), and the interaction between sentiment and interventions is also significant (p < 0.05), indicating greater effectiveness under positive or neutral sentiment. These findings underscore that intervention success is closely tied to market psychology. Therefore, BI should incorporate AI-driven sentiment analysis into policy design to enhance intervention effectiveness and strengthen public communication credibility. This study enriches the literature on behavioral macroeconomics and offers a data-driven framework for adaptive monetary policymaking in the digital economy.