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Pratiwi, Monica
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Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Nursing Physics Social Sciences Other

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EEG-Based Depression Detection in the Prefrontal Cortex Lobe using mRMR Feature Selection and Bidirectional LSTM Pratiwi, Monica
ULTIMA Computing Vol 15 No 2 (2023): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v15i2.3426

Abstract

Depression can induce significant anguish and impair one's ability to perform effectively in professional, academic, and familial settings. This condition has the potential to result in suicide. Annually, the number of deaths resulting from suicide exceeds 700,000. Among individuals aged 15-29, suicide has emerged as the fourth most prevalent cause of mortality. Challenges in treating depression include limited accessibility to mental health care in rural regions and misdiagnosis resulting from subjective evaluations, wherein insufficient expertise can contribute to inaccurate diagnoses. Electroencephalography (EEG) has gained popularity as a tool for the identification and study of a number of mental illnesses in the past several years. Therefore, an automated technique is required to precisely distinguish between normal EEG signals and depression signals. This research focused on developing an EEG-based depression detection system in the prefrontal cortex lobe area (Fp1, Fpz, and Fp2). One of the developments carried out in this research is the implementation of Bidirectional Long Short-Term Memory (Bi-LSTM) as the model classification and minimum redundancy maximum relevance (mRMR) feature selection. Results suggest that the combination of mRMR feature selection with 25 features and the Bidirectional LSTM obtained 92.83% for the accuracy.
Survei Bathimetri di Perairan Dangkal Menggunakan Wahana USV (Unmanned Surface Vehicle) Studi Kasus Sungai Ciliwung Pratiwi, Monica
Jurnal Ilmiah Geomatika Vol. 2 No. 1 (2022): April Jurnal Ilmiah Geomatika
Publisher : Program Studi Teknik Geomatika Fakultas Teknologi Mineral Universitas Pembangunan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/imagi.v2i1.7478

Abstract

Perkembangan  teknologi dalam survey pemetaan  pada  masa  kini  berkembang sangat  cepat. Dimulai  dengan  alat-alat  yang  bersifat  manual  dan  konvensional,sekarang  banyak  teknologi survey pemetaan  yang bersifat  otomatis  dan  canggih.  Salah satunya yang berkembang saat ini adalah teknologi untuk survey bathimetry di perairan dangkal yaitu Unmanned Surface Vehicle (USV). Unmanned Surface Vehicle (USV) atau Autonomous Surface Vehicle (ASV) merupakan sistem kapal yang digunakan tanpa adanya campur tangan operator. USV dikendalikan secara otomatis dengan memberikan perintahperintah seperti waypoint, atau secara manual dengan menggunakan remote control dari Ground Control Station (GCS) ( Okta, 2017). Penelitian dilakuakan di sepanjang aliran Sungai Ciliwung yang mengalir Jakarta dari ancol hingga tebet. Penelitian ini bertujuan untuk mengetahui kedalaman di sepanjang aliran sungai Ciliwung dan dapat membuat peta bathimetrinya
Analisis Kebutuhan Guru Produktif Kejuruan Pada Konsentrasi Keahlian Teknik Pemesinan Di Provinsi Gorontalo Rizky, Fachrul; Sunardi, Sunardi; Machmoed, Buyung Rahmad; Pramudibyo, Sugeng; Pratiwi, Monica
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 4 (2026): November - January
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i4.3711

Abstract

Penelitian ini bertujuan untuk menganalisis kebutuhan guru produktif kejuruan pada Konsentrasi Keahlian Teknik Pemesinan di Provinsi Gorontalo. Penelitian ini menggunakan metode deskriptif kuantitatif dengan mengambil data melalui observasi, wawancara, dan dokumentasi. Subjek penelitian meliputi Wakil Kepala Sekolah Bidang Kurikulum dan Ketua Jurusan pada tiga SMK Negeri, yaitu SMKN 3 Gorontalo, SMKN 1 Marisa, dan SMKN 1 Paguyaman. Penelitian ini mengumpulkan data mengenai jumlah guru produktif, jumlah rombongan belajar, dan alokasi jam mata pelajaran produktif. Hasil penelitian menunjukkan bahwa ketersediaan guru produktif pada sebagian sekolah belum memenuhi standar kebutuhan ideal. Beberapa sekolah mengalami kekurangan guru produktif sehingga guru yang tersedia menanggung beban mengajar yang tinggi dan mengalami ketidaksesuaian bidang keahlian dalam proses pembelajaran. Penelitian ini juga menemukan adanya potensi penurunan jumlah guru produktif akibat guru yang akan memasuki masa pensiun. Kondisi ini menyebabkan perlunya perencanaan kebutuhan guru secara sistematis. Penelitian ini menghitung proyeksi kebutuhan guru menggunakan data perkembangan rombongan belajar selama lima tahun terakhir, serta mempertimbangkan jumlah jam pelajaran produktif. Hasil proyeksi menunjukkan bahwa kebutuhan guru produktif di Provinsi Gorontalo mengalami kekurangan dalam beberapa tahun mendatang. Penelitian ini memberikan rekomendasi kepada sekolah dan pemerintah daerah untuk meningkatkan pemetaan kebutuhan guru, memperbaiki distribusi guru produktif, dan merencanakan rekrutmen guru secara berkelanjutan.  
Analisis Kedudukan Majelis Permusyawaratan Rakyat Dalam Mewujudkan Cita Hukum Pancasila Saparudin, Imam; Pratiwi, Monica; Sengaji, Adhitya Miasa; Athallah P N R, M Ellif
Journal of Education Religion Humanities and Multidiciplinary Vol 3, No 2 (2025): Desember 2025
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/jerumi.v3i2.7315

Abstract

Majelis Permusyawaratan Rakyat (MPR) merupakan lembaga tinggi negara yang mencerminkan kedaulatan rakyat dan demokrasi Pancasila dalam sistem ketatanegaraan Indonesia. Penelitian ini bertujuan menganalisis kedudukan filosofis dan konstitusional MPR dalam mewujudkan cita hukum Pancasila. Metode penelitian normatif melalui studi kepustakaan terhadap peraturan perundang-undangan, literatur hukum, dan dokumen konstitusional. Hasil kajian menunjukkan bahwa pasca amandemen, MPR tidak lagi menjadi lembaga tertinggi negara, sejajar dengan lembaga negara lain yang mempunyai kewenangan utama membentuk dan mengubah Undang-Undang Dasar, melantik dan memberhentikan Presiden dan/atau Wakil Presiden. Secara filosofis, MPR merepresentasikan sila keempat Pancasila, yakni kerakyatan yang dipimpin oleh hikmat kebijaksanaan dalam permusyawaratan/perwakilan. Melalui fungsi konstitusionalnya, MPR berperan menjaga cita hukum Pancasila yang menekankan keadilan, kemanusiaan, kemanfaatan, dan supremasi konstitusi dalam penyelenggaraan negara.
LITERASI PEMBERDAYAAN PENDIDIKAN DAN KESETARAAN GENDER MELALUI WEBSITE NASYIATUL AISYIYAH KOTA TANGERANG SELATAN Kristiyanti, Dinar Ajeng; Yuliani, SY; Pratiwi, Monica; Irmawati, Irmawati; Johan, Monika Evelin; Umam, Akhmad Hairul; Adiputri, Tresya Meisel; Audilia, Maureen
Jurnal AbdiMas Nusa Mandiri Vol. 8 No. 1 (2026): Periode Januari 2026
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/abdimas.v8i1.6402

Abstract

Nasyiatul Aisyiyah Kota Tangerang Selatan (NA Tangsel) is a youth women's organization in Indonesia under the Muhammadiyah community organization whose administrators consist of young women aged 17-40 years whose activities focus on women, religion, society, and education who have actively supported gender equality and education through various programs. The problems faced by the NA Tangsel administrators are logistical challenges, funding, community resistance, and limited market reach, which affect the effectiveness of their programs to grow and advance in supporting education and gender equality. To overcome this, the community service (PKM) implementation team has collaborated with the NA Tangsel administrators to disseminate website technology that can be a solution to become a place for NA administrators to run their programs to be more independent, empowered with increased digital literacy, obtain sustainable income, and support advocacy and empowerment efforts. This initiative strengthens economic empowerment and family welfare through effective and efficient skills training and entrepreneurship programs. The method applied is Community Participatory Action Research (CBPAR), which combines knowledge and action in a way that involves NA Tangsel administrators as active partners in every stage of PKM activities. The results achieved were increased implementation of science and technology through digital skills and the effectiveness of NA management performance, as measured through pre-tests and post-tests, with the percentage rising from 87.5% to 100%.
Co-Authors Abdul Rasyid Adiputri, Tresya Meisel Akhmad Hairul Umam, Akhmad Hairul Athallah P N R, M Ellif Audilia, Maureen Buyung Rahmad Machmoed Dinar Ajeng Kristiyanti, Dinar Ajeng Hendra Uloli Irmawati Irmawati Irwan Wunarlan Johan, Monika Evelin Jurica Lucyanda Larosa, Esta Masri, Windie Santika Panrelli, Sigit Pramudibyo, Sugeng Ridwan, Ridwan Rizky, Fachrul Saparudin, Imam Sengaji, Adhitya Miasa Stella Junus Sufarinto, Adhitya Sunardi Sunardi Tahar, Amara Waskito Waskito, Waskito wijaya, lylo indra Yuliani, SY