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All Journal Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Jurnal Media Wahana Ekonomika Hasanuddin Economics and Business Review BALANCE Jurnal Akuntansi dan Bisnis Jurnal Ilmiah Edunomika (JIE) Jurnal Akuntansi dan Keuangan Journal of Applied Data Sciences Kajian Akuntansi Balance : Jurnal Akuntansi dan Bisnis Jurnal Ekonomi Mengabdi
Muhammad Fahmi
Universitas Muhammadiyah Palembang
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Social Sciences Other

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Early Mental Health Detection with Machine Learning : A Practical Approach to Model Development and Implementation Hermawan, Latius; Syakurah, Rizma Adlia; Meilinda, Meilinda; Stiawan, Deris; Negara, Edi Surya; Ramayanti, Indri; Fahmi, Muhammad; Rizqie, Muhammad Qurhanul; Hermanto, Dedy
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 13, No 2: June 2025
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v13i2.6111

Abstract

Academic pressures, lifestyle changes, and socio-economic factors significantly impact mental health, a critical determinant of academic success and well-being. Early detection and intervention are crucial to mitigate severe outcomes like academic underperformance and suicidal tendencies. Leveraging tools like the DASS-42, this study examines mental health patterns using Support Vector Machine (SVM) models, achieving accuracies of 88% for depression, 71% for stress, and 57% for anxiety. While the model excels in identifying "Normal" cases, its performance for "Mild," "Moderate," and "Severe" cases highlights limitations due to class imbalance and feature representation. The findings reveal that anxiety is the most volatile and severe condition, with peaks in 2018 and 2022, while stress remains manageable and depression moderately stable. Gender and program-specific differences emphasize the need for tailored interventions. Addressing challenges related to data quality, algorithmic transparency, and ethical concerns is essential for real-world applications. This study highlights the potential of machine learning in early detection and intervention for mental health issues. Future research should explore advanced feature engineering techniques and develop more interpretable models to enhance clinical decision-making.
Peran Big Money dalam Pasar Modal Indonesia: Analisis Dampak terhadap Likuiditas, Harga Saham, dan Arah Sentimen Pasar Muhammad Fahmi; Gumulya Sonny Marcel Kusuma; Muhammad Faris Afif; Junyka Widiyanti
Balance : Jurnal Akuntansi dan Bisnis Vol. 10 No. 2 (2025): Balance : Jurnal Akuntansi dan Bisnis
Publisher : Universitas Muhammadiyah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32502/balance.v10i2.989

Abstract

The main objective of this study is to analyze the role of Big Money in the Indonesian capital market. Specifically, the objectives of this study are to analyze the characteristics and behavior of Big Money in the Indonesian capital market, examine the impact of Big Money on Indonesian capital market liquidity, and identify the influence of Big Money on stock price movements in the Indonesian capital market. Secondary data from 2001-2024 was used. Data collection techniques were web scraping, observation, documentation, and literature review. The study found that Big Money plays a significant role in increasing liquidity through high trading volumes, but also triggers sharp fluctuations and volatility in stock prices, risking negatively impacting retail investors. Furthermore, big data-based fintech applications enable more accurate market predictions, creating an imbalance in access to information between large and small investors. This study emphasizes the importance of strict regulations to control the impact of Big Money in order to maintain market balance and protect all parties involved.
PENDAMPINGAN PENYUSUNAN DOKUMEN PENDUKUNG PENDAFTARAN BADAN HUKUM BADAN USAHA MILIK DESA AL-IKHLAS DESA MERANJAT II INDRALAYA SELATAN Muhammad Fahmi; Anggrelia Afrida; Efrina Masdaini; Rosalina Ghozali; Kholillah
Jurnal Ekonomi Mengabdi Vol 2 No 1: Jurnal Ekonomi Mengabdi - Publish April 2023
Publisher : Universitas Tridinanti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52333/jem.v2i1.115

Abstract

Penyusunan dokumen pendukung pendaftaran Badan Hukum Badan Usaha Milik Desa Al-Ikhlas Desa Meranjat II Indralaya Selatan mulai dari kelengkapan dokumen, sumberdaya manusia, pengetahuan terhadap informasi dan faktor lainnya. Tujuan dari pengabdian ini yaitu proses pendaftaran BUMDes mulai dari penyusunan dokumen sampai dengan pengiriman dokumen ke kemendesa.go.id. Pendampingan yang dilakukan yaitu (1) observasi mitra pengabdian (2) persiapan sarana dan prasarana pendampingan (3) pendampingan penyusunan dokumen BUMDes (4) pendampingan proses pendaftaran badan hukum BUMDes. Kegiatan ini telah meningkatkan pengetahuan dan keterampilan pengurus BUMDesa dalam hal penyusunan dokumen sehingga mempermudah proses pendaftaran Badan Hukum BUMDes
THE ANALYSIS OF CREDIT FINANCING OF HOME OWNERSHIP WITH MURABAHAH AT PT. BANK SYARIAH MANDIRI PALEMBANG Muhammad Fahmi; Poppy Febrina
Hasanuddin Economics and Business Review VOLUME 2 NUMBER 3, 2019
Publisher : Faculty of Economics and Business, Hasanuddin University, Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26487/hebr.v2i3.1547

Abstract

The purpose of this study was to find out whether the housing loan financing (mortgage) at Bank Syariah Mandiri Palembang Branch in accordance with murabaha and to know the process of granting mortgage with murabahah scheme in Bank Syariah Mandiri Branch Palembang to prospective recipients of financing. The research method used was descriptive method that was by collecting the data obtained and then interpret and analyze so as to provide information that can be used to solve the problems encountered. The data used were primary data and secondary data. The results of this study indicate mortgage loans at PT. Bank Syariah Mandiri has been in accordance with the murabahah financing agreement and analysis on PSAK No. 102 concerning Murabahah as the basis of consideration of the Conformity of House Ownership Credit at Bank Syariah Mandiri Palembang Branch Office.
Co-Authors Afrida, Anggrelia Ahmad Ghiffari Arta Pradana Ayassy, Naufal Rafi Dedy Hermanto Deris Stiawan Edi Surya Negara Efrina Masdaini Fauziah, Alfina Damayanti Ghazali, Rosalina Gumulya Sonny Marcel Kusuma Hairani Hairani Indri Ramayanti Junyka Widiyanti Katiallo, Taufik Kholillah Kurnia Krisna Hari Ladewi, Yuhanis Latius Hermawan Meilinda Meilinda Meilinda, Meilinda Muhammad Faris Afif Muhammad Qurhanul Rizqie Negara, Edi Surya Poppy Febrina Punawan, Herry Rizma Adlia Syakurah Rizqie, Muhammad Qurhanul Rosalina Ghozali Sunardi, Sunardi Syakurah, Rizma Adlia Yulian Sahri Zuraidah, Ida