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Gambaran Pengetahuan dan Persepsi Apoteker dalam Melakukan Skrining Resep Obat Hipertensi pada Ibu Hamil dan Menyusui: Overview of Pharmacists' Knowledge and Perception in Screening Hypertension Drug Prescriptions in Pregnant and Breastfeeding Women Oktianti, Dian; Al Hajar Fuadatus Zurroh; Ade Pratama
Journal of Holistics and Health Sciences Vol. 6 No. 2 (2024): Journal of Holistics and Health Sciences (JHHS), September
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat, Universitas Ngudi Waluyo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35473/jhhs.v6i2.499

Abstract

The maternal mortality rate in Indonesia in 2021 due to hypertension in pregnancy was 1,077. Pregnant women should get appropriate hypertension drugs and continue until breastfeeding if blood pressure has not stabilized. This study aims to determine pharmacists' knowledge and perceptions of pharmacists towards screening prescriptions for hypertension in pregnant and lactating women so as to increase safety and reduce the risk of maternal and infant mortality. The research method used was descriptive research, data collection using questionnaires and interviews. Respondents in this study were doctors and pharmacists who met the research criteria, namely 20 pharmacists and 3 obstetricians and gynecologists. The results showed 14 (75%) pharmacists answered correctly about hypertension drugs that are safe for pregnant women, 6 (30%) drugs to treat preeclampsia, and 4 (20%) drugs for eclampsia patients. A total of 19 (95%) pharmacists had difficulty serving hypertension prescriptions for pregnant and lactating women and 18 (90%) had difficulty knowing drug safety. The conclusion of this study is the pharmacist's knowledge of hypertension therapy in pregnant and lactating women, the average who answered correctly was 8 (43.75%) people, who experienced difficulties when serving prescriptions as many as 19 (95%) people. All 20 pharmacists (100%) answered that they needed training and information sources regarding safe hypertension therapy for pregnant and lactating women.   ABSTRAK Angka kematian  ibu di Indonesia tahun 2021 yang disebabkan karena hipertensi dalam kehamilan adalah 1.077. Ibu hamil harus mendapatkan obat hipertensi yang sesuai dan dilanjutkan sampai proses menyusui apabila tekanan darah belum stabil. Penelitian ini bertujuan untuk mengetahui pengetahuan dan persepsi apoteker terhadap skrining resep obat hipertensi pada ibu hamil dan menyusui sehingga meningkatkan keamanan dan menurunkan risiko kematian ibu dan bayi. Metode penelitian yang digunakan adalah penelitian deskriptif, pengambilan data menggunakan kuesioner dan wawancara. Responden dalam penelitian ini adalah dokter dan apoteker yang memenuhi kriteria penelitian, yaitu 20 apoteker dan 3 dokter spesialis kebidanan dan kandungan. Hasil penelitian menunjukkan 14 (75%) apoteker menjawab benar mengenai obat hipertensi yang aman untuk ibu hamil, 6 (30%) obat untuk mengatasi preeklamsia, dan 4 (20%) obat untuk pasien eklamsia. Sebanyak 19 (95%) apoteker kesulitan melayani resep hipertensi untuk ibu hamil dan menyusui dan 18 (90%) kesulitan mengetahui keamanan obat. Kesimpulan penelitian ini adalah pengetahuan apoteker terhadap terapi hipertensi pada ibu hamil dan menyusui rata-rata yang menjawab benar adalah 8 (43,75%) orang, yang mengalami kesulitan saat melayani resep sebanyak 19 (95%) orang. Seluruh apoteker 20 (100%) menjawab membutuhkan pelatihan dan sumber informasi mengenai terapi hipertensi yang aman untuk ibu hamil dan menyusui.
Comparing Data Protection and Due Process Implementation in Indonesia Irawati, Arista Candra; Wijaya, Hendra; Pratama, Ade
Jurnal Ilmiah Dunia Hukum VOLUME 9 ISSUE 2 APRIL 2025
Publisher : PDIH Untag Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56444/jidh.v9i2.6061

Abstract

This study aims to analyze and examine legal issues related to personal data protection in Indonesia and Malaysia, as well as to assess the principle of due process of law and its implementation in ensuring legal certainty in personal data protection, particularly in Case No. 46/Pid.Sus/2023/PN.Slt. The research employs an empirical juridical method using statutory, conceptual, and case approaches. The data consist of primary, secondary, and tertiary sources. The findings indicate, first, that both Indonesia and Malaysia are committed to protecting personal data as part of human rights. Indonesia has enacted the Personal Data Protection Law (UU PDP) and its derivatives, while Malaysia has implemented the Personal Data Protection Act 2010. These frameworks demonstrate that both countries possess adequate legal structures to safeguard their citizens’ privacy in the digital era. Second, the application of the due process of law principle in the context of personal data protection—as illustrated in Case No. 46/Pid.Sus/2023/PN.Slt—highlights the importance of transparent, fair, and equitable legal enforcement. The implementation of this principle provides legal certainty for individuals concerning the collection, processing, and protection of their personal data. Upholding due process of law also prevents abuse of authority by law enforcement and ensures that any action taken in handling personal data complies with lawful and accountable procedures.
Pengembangan Sistem Informasi Manajemen Evaluasi Prestasi Lulusan Terbaik dengan Metode Fuzzy Simple Additive Weighting Kustiyono, Kustiyono; Wibowo, Agung; Pratama, Ade
MEANS (Media Informasi Analisa dan Sistem) Volume 9 Nomor 1
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/means.v9i1.3512

Abstract

Lulusan atau disebut wisudawan dalam proses kelulusan merupakan suatu proses akhir ketika mahasiswa telah menempuh semua proses akademik di sebuah perguruan tinggi. Wisudawan terbaik merupakan suatu bentuk pencapaian tertinggi dalam prosesi wisuda dan merupakan keberhasilan program studi dalam menghasilkan lulusan yang berdaya saing. Penelitian yang dihasilkan dengan metode Simple Additive Weighting dapat membantu dalam pengambilan keputusan dalam penilaian prestasi wisudawan terbaik pada kegiatan wisuda yang diambil 1 lulusan dari 10 kandidat terbaik. Metode Simple Additive Weighting adalah suatu metode pengambilan keputusan dengan konsep mencari nilai tertinggi dari rating prestasi pada setiap alternatif dalam semua atribut. Tujuan penelitian ini adalah memilih wisudawan terbaik di perguruan tinggi serta mengontrol capaian prestasi mahasiswa agar dapat mencapai target yang diharapkan.
Analisis Klasifikasi Resign Karyawan dengan Random Forest Pratama, Ade; Mujiyono, Sri; Sanjaya, Ucta Pradema
JURNAL UNITEK Vol. 18 No. 1 (2025): Januari - Juni 2025
Publisher : Sekolah Tinggi Teknologi Dumai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52072/unitek.v18i1.1415

Abstract

Tingginya employee turnover (18,4% global) menimbulkan gangguan operasional dan kebocoran finansial kronis. Penelitian ini mengimplementasikan pipeline analitik berbasis Random Forest Classifier untuk memprediksi attrition karyawan melalui ekstraksi pola non-linier dalam ruang fitur SDM. Hasilnya mengungkap “sebagai prediktor” dominan, sementara Surat Peringatan muncul sebagai paradoks prediktif  melalui interaksi tersembunyi dengan variabel tekanan kerja. Fenomena yang hanya terkuak berkat kapasitas ensemble learning dalam menangkap high-dimensional decision boundaries. Model menunjukkan asimetri kinerja (recall kelas minoritas: 67,3%) akibat ketidakseimbangan data (rasio 1,9:1), memerlukan strategi cost-sensitive learning untuk mitigasi false negative. Temuan ini mentransformasi kebijakan SDM: dari retensi generik berbasis senioritas menuju paket personalisasi berbasis risk profiling dan competency micro-skilling, sekaligus menggeser fungsi HR dari administratif reaktif menjadi strategic predictive core.  
PENINGKATAN KAPASITAS KADER MELALUI PELATIHAN MANAJEMEN POSBINDU INTEGRASI LAYANAN PRIMER DI RW XI P4A KELURAHAN PUDAKPAYUNG KOTA SEMARANG Priyanto; Untari; Ummu Muntamah; Ade Pratama; Mufidatun Qothrun Nada; Salma Nadia; Afni Nadya Ramdhani
Empowerment Journal Vol. 5 No. 2 (2025): September
Publisher : Universitas 'Aisyiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30787/empowerment.v5i2.2175

Abstract

Chronic diseases are a major health problem in Indonesia, including in Semarang City, with risk factors affecting 37% of the adult population in RW XI P4A, Pudakpayung Village. However, the capacity of Posbindu ILP cadres for the prevention and management of chronic diseases is still low. This community service program aims to improve the capacity of cadres through Posbindu ILP management training. The method used was descriptive quantitative with a pre-post intervention approach applied to 20 cadres. The intervention included theoretical material on administration, service flow, early detection of chronic disease risk factors, counselling, and referral, as well as simulated practice of service flow, manual and digital recording, and role-play counselling and referral. Data were collected through questionnaires and practice observation and analysed using the Wilcoxon Signed Rank Test. The results showed significant improvements in all aspects: understanding of governance (p=0.003), recording and reporting (p=0.001), early detection of chronic disease risks (p=0.006), counselling and health education (p=0.008), and referral and follow-up of participants (p=0.010). Self-confidence (95%) and teamwork (100%) also increased. This training has proven effective in improving the capacity of cadres. It is recommended that mentoring and further training be provided on a regular basis, that record-keeping and administration be standardised, and that community participation continue to be increased in order to maintain the sustainability of ILP Posbindu services
Analisis Kesamaan Gambar Menggunakan Metode Ekstraksi Fitur Agung Wibowo; Ade Pratama; Kustiyono
Jurnal Informatika dan Kesehatan Vol. 1 No. 1 (2024): IKN : Jurnal Informatika dan Kesehatan
Publisher : Universitas Ngudi Waluyo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35473/ikn.v1i1.3040

Abstract

This research begins with a discussion of imaging systems. Many user interactive systems are built with basic concepts. However, they fail to meet user needs or attract user attention. As a result, in the last few years, research has concentrated on new and up-to-date specifications that keep users attracted to the expected way to interact well. The system focuses on using a variety of mathematical methods to take images from a large collection of images based on color projection. Images are grouped into subgroups with threshold values before using the suggested technique. The combination of colors R, G, B is considered for taking images in this research through the observed results so that we can produce more effective results compared to previously existing ones.   Abstrak Penelitian ini memulai dengan membahas sistem pengambilan gambar. Banyak sistem interaktif pengguna dibangun dengan konsep dasar. Namun, mereka gagal memenuhi kebutuhan pengguna atau menarik perhatian pengguna. Akibatnya, dalam beberapa tahun terakhir, penelitian telah berkonsentrasi pada spesifikasi baru dan terkini yang membuat pengguna tertarik dengan cara yang diharapkan untuk berinteraksi dengan baik. Sistem ini berfokus pada penggunaan berbagai metode matematika untuk mengambil gambar dari koleksi gambar besar yang didasarkan pada proyeksi warna. Gambar dikelompokkan menjadi subkelompokan dengan nilai ambang batas sebelum menggunakan teknik yang disarankan. kombinasi warna R, G, B dipertimbangkan untuk pengambilan gambar dalam riset ini melalui hasil yang diamati agar kita dapat menghasilkan hasil yang lebih efektif dibandingkan dengan hasil yang sudah ada sebelumnya.
SMARTGRAD: Prediksi Kelulusan Tepat Waktu Mahasiswa Kampus Merdeka Wibowo, Agung; Pratama, Ade; Setiawan, Dwi
EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Vol 15, No 2 (2025): December
Publisher : Universitas Bandar Lampung (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/expert.v15i2.4605

Abstract

On-time graduation is a primary indicator of student success and serves as a key benchmark for the quality of higher education institutions. This study aims to develop SmartGrad, a prediction model for on-time graduation based on the Naive Bayes algorithm, supported by feature selection using Decision Tree. The model integrates academic variables (semester GPA, average grades) and non-academic variables (types of MBKM, employment status, age) to produce accurate and contextual predictions. The research dataset comprises 313 entries with 17 attributes, processed through feature selection and classification stages. Evaluation results demonstrate the model's excellent performance, with an average accuracy of 88.8%, precision of 90.5%, recall of 97.9%, and an F1-score of 94.0%. The implementation of SmartGrad as an interactive web application based on Streamlit supports transparent and easily comprehensible decision-making. The novelty of this research lies in the integration of MBKM factors and employment status into the prediction model, as well as the application of an interpretable AI approach to support higher education policies and the achievement of Sustainable Development Goal 4 (Quality Education). These findings are expected to serve as a strategic reference for higher education administrators in enhancing academic quality and the effectiveness of the Freedom of Learning Independent Campus program.