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All Journal Public Health of Indonesia Journal Software, Hardware and Information Technology Jurnal Penyakit Dalam Indonesia IKRAM: Jurnal Ilmu Komputer Al Muslim
Asep Purnama, Asep
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Medicine & Pharmacology Public Health

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Challenges in Providing Treatment of Severe Malaria Case in aDistrict Hospital of Remote Area in Indonesia Priantono, Dimas; Purnama, Asep; Nelwan, Erni Juwita
Jurnal Penyakit Dalam Indonesia Vol. 4, No. 1
Publisher : UI Scholars Hub

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Abstract

Severe Malaria is commonly found due to Plasmodium falciparum infection, which is causing high mortality in patient. A Severe case might be difficult to treat optimally in the remote settings area that could be due to lack in awareness of disease manifestation and inadequate diagnostic facilities. We report a case of Severe Malaria Falciparum infection, confirmed by blood smear examination of Plasmodium falciparum (Pf) parasites. Patient had received Artemicinin Based Combination Therapy (ACT), which consisted of dihydroartemisinin (DHA)-piperaquine and primaquine (PQ) with no clear clinical and microscopy improvement. The second line anti malaria consisted of quinine, doxycycline, and PQ was then initiated, showing clinical and microscopy responses.
Metode Algoritma Logistic Regression dalam Klasifikasi Email Spam Purnama, Asep; Hamidin, Dini
Journal Software, Hardware and Information Technology Vol 5 No 1 (2025)
Publisher : Jurusan Sistem Informasi Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/shift.v5i1.159

Abstract

This study aims to implement the Logistic Regression algorithm in spam email classification using an experimental method. Using a dataset of 4,073 emails categorized as spam and non-spam, the research involves several stages, including data preprocessing, feature extraction using the TF-IDF method, and the application of Logistic Regression for classification. The experimental evaluation of the model shows excellent performance with an accuracy of 98%, along with precision, recall, and F1-Score of 98% each. The model successfully classifies spam and non-spam emails with minimal errors, making it an effective solution for filtering unwanted emails and preventing data breaches and phishing attacks. This research demonstrates that Logistic Regression, validated through experimental analysis, is a reliable and efficient method for spam email classification and can be applied in real-world email filtering systems.
The Combination Diagnostic Test for Tuberculosis Screening in HIV Patients in Referral Hospitals in Indonesia Murtiani, Farida; Rosamarlina, Rosamarlina; Purnama, Asep; Farhanah, Nur; Utama, Made Susila; Agustin, Heidy; Sarif, Armaji Kamaludi; Widiantari, Aninda Dinar; Hasugian, Armedy Ronny
Public Health of Indonesia Vol. 11 No. 3 (2025): July - September
Publisher : YCAB Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36685/phi.v11i3.1094

Abstract

Background: Screening tests are needed to help screen suspected Tuberculosis (TB) pulmonary with HIV positive. With the limitation of specificity of the screening test and the need for combination with laboratory tools to increase that, a combination with standard examination is still needed, especially for limited healthcare facilities. Objective: This study aimed to determine Pulmonary TB screening tests with Human Immunodeficiency Syndrome (HIV) positive. Method: This observational study with a cross-sectional design was conducted in four government hospitals. Study subjects were inpatients and outpatients who met study inclusion criteria (> 14 years of age, HIV positive based on HIV test results, had clinical symptoms of episodic history of fever, and volunteered to take part in the study). Total subjects were 193 people, with episodic history of fever from <24 hours to 120 hours. Result: This study assessed a subject's clinical manifestation, physical examination and X-ray test. The “Night Sweat”, Infiltrates in the Upper Lobe”, “Enlargement of Lymph Nodes and “Left Rhonchi” and their combination have a sensitivity of>85%. Still, only the complete combination has a specificity of> 70%. The combination of “Night Sweat + Enlargement of Lymph Nodes + Left Rhonchi + Infiltrates in the Upper Lobe” and then “Enlargement of Lymph Nodes + Left Rhonchi + Infiltrates in the Upper Lobe” can be an alternative for screening Pulmonary TB-HIV positive with history of fever. Conclusion: Pulmonary TB screening in HIV patients with a history of fever can be used by completely combining clinical manifestation, physical examination, and X-ray. the variables "Night Sweat, Enlarged Lymph Nodes, left rhonchi breath sounds and pulmonary upper lobe infiltrates" in a gradual manner. Keywords: Diagnostic Combination Test; HIV-Tb Coinfection; Tuberculosis Screening; Clinical Manifestations in TB-HIV; Pulmonary TB in HIV Patients
Pemberian Kredit Kendaraan Bermotor Menggunakan Metode Fuzzy Logic Sugeno Pada PT. Bintang Mandiri Finance Bekasi Purnama, Asep; Amanda
IKRAM: Jurnal Ilmu Komputer Al Muslim Vol. 1 No. 1 (2022): IKRAM: Jurnal Ilmu Komputer Al Muslim
Publisher : IKRAM: Jurnal Ilmu Komputer Al Muslim

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Abstract

PT. Bintang Mandiri Finance Bekasi merupakan leasing atau perusahaan pembiayaan yang memberikan pinjaman dana dengan jaminan BPKB mobil. Dalam hal memberikan pinjaman dana terhadap nasabah, PT. Bintang Mandiri Finance Bekasi melakukan pemeriksaan data calon nasabah terlebih dahulu, sebagai referensi untuk kelayakan kredit. Namun masih banyak nasabah yang mengalami kredit macet sehingga tidak mampu membayar kewajiban utang kepada PT. Bintang Mandiri Finance Bekasi. Timbulnya kredit macet disebabkan saat awal proses pengajuan kredit data yang diberikan oleh calon nasabah tidak sesuai dengan fakta. Kesalahan tersebut terjadi saat melakukan survey dan analisa kredit yang masih secara manual yang harus mengecek banyak data yang diberikan oleh calon nasabah. Salah satu cara untuk mengatasi masalah kredit macet yaitu dengan menggunakan kecerdasan buatan yang dapat memilih calon nasabah berdasarkan kriteria yang diinginkan. Bagian lain dari Kecerdasan Buatan atau Artificial Inteligence (AI) adalah Fuzzy logic Sugeno. Fuzzy logic Sugeno digunakan untuk menghasilkan keputusan tunggal/crisp saat defuzzyfikasi, penggunaannya tergantung dari domain masalah yang terjadi dan alat bantu perancangan menggunakan Unified Modeling Language (UML). Pemberian kredit menggunakan metode fuzzy logic sugeno dapat digunakan dalam menetukan calon nasabah berdasarkan nilai rekomendasi perhitungan fuzzy logic sugeno dan dapat mepercepat proses analisa kredit. Nilai rekomendasi hasil perhitungan metode fuzzy logic sugeno dapat meminimalisir terjadinya kredit macet.
Co-Authors Agustin, Heidy Amanda Armedy Ronny Hasugian Dimas Priantono, Dimas Erni Juwita Nelwan, Erni Juwita Hamidin, Dini Laily Fitriani Mulyani Murtiani, Farida Nur Farhanah, Nur Nurhidayat Nurhidayat rosamarlina, rosamarlina Saptono Waspodo Sarif, Armaji Kamaludi Setyowati, Dewi Nuraeni Utama, Made Susila Widiantari, Aninda Dinar