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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Reviu Akuntansi dan Keuangan JURNAL ILMIAH KESEHATAN KEPERAWATAN Global Medical and Health Communication As-syifaa Jurnal Farmasi Indonesian Journal of Medicine Studi Arab Jurnal 'Aisyiyah Medika Jurnal Pendidikan Sosiologi Undiksha Serulingmas Health Journal (SHJ)
Khuluq, Husnul
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Religion Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Dentistry Economics, Econometrics & Finance Education Engineering Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Medicine & Pharmacology Nursing Public Health Social Sciences Other

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GAMBARAN TINGKAT PENGETAHUAN SWAMEDIKASI ANALGESIK PADA MASYARAKAT DESA TANJUNGSARI, PETANAHAN, KABUPATEN KEBUMEN Khuluq, Husnul
Jurnal Ilmiah Kesehatan Keperawatan Vol 15, No 2 (2019): JURNAL ILMIAH KESEHATAN KEPERAWATAN
Publisher : LPPM STIKES MUHAMMADIYAH GOMBONG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (98.597 KB) | DOI: 10.26753/jikk.v15i2.366

Abstract

According  to WHO,  self-medication is the selection and using of drugs without a doctor's prescription by people to to treat common health issues at home . The most widely self-medicated substances are over-the-counter drugs, suplement and herbal medicine. A study in  United States and the United Kingdom found that self-medication was the main effort  to  solve health issues. This is confirmed by the results of several studies that found about 40-72%  people in several  countries practicing  self-medication. In Indonesia, according to  Basic Health Research (Riskesdas 2013) found that  103,860 (35.2%) households use self medication. Several studies have found that differences in  age, marital status,  education , occupation,  have closely related with self-medication behavior. This is the descriptive-observational study with 64 respondent The result show that many people do not understand how to practicing right self medication such as side effect drugs used in self medication, safe analgesic medication for pregnancy.Keyword : analgesic, self-medication
PENGETAHUAN MASYARAKAT DESA SIDOHARUM KECAMATAN SEMPOR TENTANG ORAL ELEKTROLIT DALAM PENANGANAN DIARE Khuluq, Husnul; Handayani, Eka Wuri
Jurnal Ilmiah Kesehatan Keperawatan Vol 14, No 1 (2018): Jurnal Ilmiah Kesehatan Keperawatan
Publisher : LPPM STIKES MUHAMMADIYAH GOMBONG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26753/jikk.v14i1.273

Abstract

Diarrhea is still a public health problem in developing countries such as Indonesia, because of the high morbidity and mortality. In Indonesia, 60 million cases of diarrhea sufferers are found each year, 70-80% are experienced by children under 5 years (± 40 million incidents). The cause of infectious diarrhea is rotavirus infection which is common in children 6-24 months, with the highest incidence at the age of 9 to 12 months. OTC drugs are drugs that are not under the supervision of a doctor, drugs in this class can be traded freely, without a doctor's prescription and can be purchased at pharmacies, drug stores or stalls, for example cold medicines, diarrhea drugs, ulcer drugs and skin drugs. The use of over-the-counter drugs often occurs in the community and can cause problems such as inaccurate doses and errors in drug selection. This research is an observational research with descriptive method. This study was conducted involving 89 respondents. The results showed that there were still many people who did not understand about oral electrolytes in the treatment of diarrhea.
PERANAN LEMBAGA SWADAYA MASYARAKAT (LSM) YAYASAN CITRA USADHA INDONESIA (YCUI) DALAM PENDAMPINGAN PENGIDAP HIV/AIDS DI BULELENG, BALI (POTENSINYA SEBAGAI SUMBER BELAJAR SOSIOLOGI DI SMA N 2 BANJAR) Khuluq, Husnul; Maryati, Tuty; Wirawan, I Gusti Made Arya Sutha
Jurnal Pendidikan Sosiologi Undiksha Vol 1, No 1 (2019): Jurnal Pendidikan Sosiologi Undiksha
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jpsu.v1i1.26672

Abstract

Penelitian ini bertujuan untuk mengetahui (1) Latar belakang Yayasan Citra UsadhaIndonesia (YCUI) melakukan upaya pendampingan pengidap HIV/AIDS, (2) Modelpendampingan pengidap HIV/AIDS di Buleleng oleh YCUI Buleleng, (3) Potensi YCUI Bulelengsebagai sumber belajar sosiologi di SMA N 2 Banjar. Metode yang digunakan dalam penelitianini adalah metode penelitian kualitatif, dengan lokasi penelitian di kantor YCUI Buleleng DesaKaliasem, Kecamatan Banjar, Kabupaten Buleleng. Teknik pengambilan data menggunakanteknik observasi, wawancara, studi dokumen dan validasi data. Hasil penelitian menunjukkanbahwa, (1) Upaya pendampingan dilakukan karena terdapat peningkatan pengidap dantingginya resiko penularan HIV/AIDS di Buleleng pada pemuda pekerja pariwisata dikarenakanpenanganan hanya dilakukan secara medis (2) Model pendampingan pengidap HIV/AIDS yangdilakukan adalah pemdampingan individu, kelompok dan Desa asal ODHA, (3) Aspek yangdijadikan sebagai sumber belajar sosiologi di SMA N 2 Banjar adalah Lembaga Sosial danterdapat pada kelas X IIS seperti yang sudah dimuat dalam SK dan KD pada kurikulum 2013.Kata kunci: Penanganan HIV/AIDS, Peranan YCUI Buleleng, Potensi YCUI Buleleng SebagaiSumber Belajar Sosiologi
EFEK ANALGETIK EKSTRAK AKUADES DAUN MELINJO (Gnetum gnemon L.) PADA MENCIT PUTIH (Mus musculus L.) JANTAN DENGAN METODE INDUKSI ASAM ASETAT 1% Dewi, Evelyne Citra; Sodik, Anwar; Khuluq, Husnul; Intiyani, Rafila
As-Syifaa Jurnal Farmasi Vol 15, No 2 (2023): AS-SYIFAA JURNAL FARMASI
Publisher : Fakultas Farmasi UMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56711/jifa.v15i2.1055

Abstract

Pain is an unpleasant sensory and emotional feeling, associated with tissue damage. Melinjo leaves (Gnetum gnemon L.) are a plant that is useful as a traditional medicine for reducing and treating diseases, one of which is pain. The use of traditional medicine has fewer side effects than chemical medicine. This study aims to determine the analgesic activity and best dose of melinjo leaf distilled water extract in male white mice induced by 1% acetic acid. This research is experimental research. The subjects of this research were 25 male white mice. Mice were divided into 5 treatment groups with each group consisting of 5 mice. The treatment groups consisted of negative control CMC-Na 1%, positive control, melinjo leaf aqueous extract group at doses of 50, 100, and 150 mg/kgBW. The pain inducer was given 1% acetic acid. Observations were made by observing the movements of mice to calculate the % of analgesic protection. The data that has been obtained is then tested using One Way Anova and Post Hoc LSD or Games-Howell statistical tests. The results obtained by melinjo leaf aqueous extract at a dose of 150 mg/kgBW had the best analgesic effect because it had the largest % protection, namely 66.89%, and provided a significant effect (p<0.05) in mice induced by 1% acetic acid. Melinjo leaf aqueous extract at a dose of 150 mg/kgBW had the best analgesic effect on male white mice which was declared significant (p<0.05) and the mean difference value was greater.
UJI ANTIDIARE EKSTRAK METANOL DAN AKUADES DAUN MENGKUDU PADA TIKUS YANG DIINDUKSI OLEUM RICINI Anggraeni, Riski; Khuluq, Husnul; Widiastuti, Tri Cahyani
Serulingmas Health Journal Vol. 3 No. 2 (2023): Desember
Publisher : Stikes Serulingmas Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Diare merupakan penyakit yang ditandai dengan perubahan konsistensi feses serta terjadi peningkatan frekuensi buang air besar tiga kali atau lebih dalam sehari. Penggunaan obat antidiare seperti Imodium menimbulkan efek samping seperti sakit perut, mual, atau muntah, sehingga perlu alternatif pengobatan diare menggunakan bahan alam salah satunya daun mengkudu (Morinda citrifolia L.). Tujuan penelitian ini untuk mengetahui efek antidiare ekstrak metanol dan ekstrak akuades daun mengkudu terhadap tikus putih jantan galur wistar yang diinduksi dengan oleum ricini. Penelitian ini merupakan eksperimental laboratorium. Hewan uji dibagi menjadi 8 kelompok perlakuan yaitu kontrol negatif (CMC-Na 0,5%), kontrol positif (Imodium), kelompok ekstrak metanol dosis 300, 450, dan 600 mg/kgBB, dan kelompok ekstrak akuades dosis 300, 450, dan 600 mg/kgBB. Hewan uji diinduksi dengan oleum ricini. Parameter yang diamati meliputi frekuensi defekasi, konsistensi defekasi, dan berat feses. Hasil uji ekstrak metanol dan  ekstrak akuades daun mengkudu pada dosis 300 mg/kgBB secara signifikan mampu mengurangi frekuensi defekasi sebesar 67,39% dan 26,08%, serta meningkatkan konsistensi defekasi. Sedangkan ekstrak metanol dan ekstrak akuades dosis 600 mg/kgBB secara signifikan mampu mengurangi berat feses sebesar 112,4% dan 30,18%. Dosis terbaik ekstrak metanol dan ekstrak akuades yang berefek sebagai antidiare yaitu dosis 300 mg/kgBB untuk memperbaiki frekuensi defekasi dan konsistensi feses, sementara dosis 600 mg/kgBB untuk mengurangi berat feses.
Effectiveness of Machine Learning for COVID-19 Patient Mortality Prediction Using WEKA Khuluq, Husnul; Yusuf, Prasandhya Astagiri; Perwitasari, Dyah Aryani
Global Medical & Health Communication (GMHC) Vol 11, No 3 (2023)
Publisher : Universitas Islam Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/gmhc.v11i3.12119

Abstract

Timely detection of patients with a high mortality risk in coronavirus disease 2019 (COVID-19) can substantially improve triage, bed allocation, time reduction, and potential outcomes. A potential solution is using machine learning (ML) algorithms to predict mortality in COVID-19 hospitalized patients. The study's objective was to create and verify individual risk assessments for mortality using anonymous demographic, clinical, and laboratory findings at admission, as well as to assess the possibility of death using machine learning. We used a standardized format and electronic medical records. Data from 2,313 patients were collected from two Muhammadiyah hospitals from January 2020 to July 2022. Utilizing each patient's clinical manifestation state at admission and laboratory parameters, 24 demographic, clinical, and laboratory results were studied. The algorithms analyzed were AdaBoost, logistic regression, random forest, support vector machine, naïve Bayes, and decision tree, which were applied through WEKA version 3.8.6. Random forest performed better than the other machine learning techniques, with precision, sensitivity, receiver operating characteristic (ROC), and accuracy of 78.6%, 78.7%, 85%, and 78.65%, respectively. The three top predictors were septic shock (OR=21.518, 95% CI=4.933–93.853), respiratory failure (OR=15.503, 95% CI=8.507–28.254), and D-dimer (OR=3.288, 95% CI=2.510–4.306). Machine learning–based predictive models, especially the random forest algorithm, may make it easier to identify patients at high risk of death and guide physicians' appropriate interventions.
The Influence Of Accounting Information Systems In Improving The Effectiveness Of SMEs Financial Planning Khuluq, Husnul; purwanti, Lilik; Baridwan, Zaki
Jurnal Reviu Akuntansi dan Keuangan Vol. 14 No. 4 (2024): Jurnal Reviu Akuntansi dan Keuangan
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/jrak.v14i4.37000

Abstract

Purpose: This study has two focus, first able to know the determinants that affect the satisfaction of users and their effect on the effectiveness of the financial planning process. To find out this is used a modification of the success of technology -based accounting information systems. The second focus of this research is able to show the success of the implementation of accounting information systems in Malang City SMEs by referring to IS Success Models. Methodology/approach: The population in this study is MSMEs in Malang City, which have been registered with the Cooperatives, Industry and Trade Service (DISKOPINDAG) and have used the smart cashier financial recording system. using a non-probability sampling method. This study uses SEM-PLS to analyze data, with validity tests, reliability tests, outer model tests, inner model tests and hypothesis tests. Findings: Research found that the quality variable of information, perception of use, trust has a positive effect on user satisfaction, while system quality variables do not have a positive effect on user satisfaction and user satisfaction have a positive effect on the effectiveness of the financial planning process. Practical implications:  Regarding the impact of the use of accounting information systems on the effectiveness of the financial planning process in Malang City SMEs, it can be used as an evaluation material for Malang City DiscountPindag in assessing the success of the AIS implementation of the user satisfaction of the system. Originality/value: Researchers make modifications to the success model of technology -based accounting information systems. The addition of variable perception of use and trust becomes renewal in this study. Then it can be seen whether the user of the level of trust application and the use of the application used for the financial planning process on MSMEs.
Mortality prediction of COVID-19 patients using supervised machine learning Khuluq, Husnul; Astagiri Yusuf, Prasandhya; Aryani Perwitasari, Dyah; Nguyen, Thang
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i4.pp4472-4479

Abstract

Hospitalized patients with COVID-19 are at higher risk of mortality. Machine learning (ML) algorithms have been proposed as a possible strategy for predicting mortality rates among patients hospitalized with COVID-19. This study analyzed various ML algorithms and identified the best model to predict COVID-19 mortality based on demographic, clinical, and laboratory data collected at registration. Data from 4,314 eligible patients (3,384 survivors and 930 who died) was collected from the register of three hospitals in Yogyakarta province, Indonesia, based on the confirmed predictors. Next, ML algorithms were utilized to predict mortality. Finally, the confusion matrix was used to evaluate how effective the models performed. The best five predictors from 26 features were myocardial infarction, SpO2, neutrophil, D dimer, and creatinine. The results indicate that the random forest algorithm showed better performance than other ML algorithms in terms of accuracy, sensitivity, precision, specificity, and area under the curve (AUC), achieving values of 84.15%, 84.0%, 84.1%, 83.9%, and 90.02%, respectively. Implementing ML techniques can accurately predict the mortality rate associated with COVID-19. Therefore, this predictive model can help clinicians and hospitals predict COVID patients with a greater risk of death and effectively target more appropriate treatments.
OPTIMALISASI KETERAMPILAN MENYIMAK DALAM PEMBELAJARAN BAHASA ARAB Khuluq, Husnul

Publisher : Universitas Yudharta Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/studi arab.v7i2.620

Abstract

Menyimak merupakan satu dari empat keterampilan berbahasa Arab yang harus dikuasi oleh peserta didik selain tiga keterampilan lainnya, yaitu berbicara, membaca, dan menulis. Namun kenyataan di lapangan, banyak guru Bahasa Arab justru abai dengan hanya memberikan sedikit porsi pada pengembangan keterampilan menyimak ini. Penyebabnya bisa jadi adalah kurang optimalnya guru dalam menggali beragam pendekatan, metode, strategi, media, hingga proses evaluasi yang dapat menunjang keterampilan menyimak peserta didik. Oleh karena itu diharapkan kedepannya para guru Bahasa Arab mulai memberikan perhatian yang lebih dalam pembelajaran menyimak. Karena menyimak sendiri memilik kaitan erat dan dapat dikatakan sebagai penunjang dalam menguasai keterampilan berbahasa lainnya, ditambah sejatinya bahasa itu pertama-tama adalah ujaran, yakni bunyi-bunyi bahasa yang diucapkan dan bisa didengar
FAKTOR-FAKTOR RISIKO YANG MEMPENGARUHI LAMA RAWAT INAP PASIEN GAGAL GINJAL KRONIK Kurniawati, Dzakiyah Putri; Khuluq, Husnul; Ainni, Ayu Nissa
Jurnal 'Aisyiyah Medika Vol 10, No 1: Februari 2025 Jurnal 'Aisyiyah Medika
Publisher : stikes 'aisyiyah palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36729/jam.v10i1.1340

Abstract

Latar Belakang: Gangguan fungsi ginjal ini terjadi ketika tubuh gagal untuk mempertahankan metabolisme dan keseimbangan cairan dan elektrolit sehingga mengakibatkan retensi urea dan sampah nitrogen lain dalam darah. Tujuan: Penelitian ini bertujuan untuk mengetahui faktor risiko yang mempengaruhi lama rawat inap pasien Gagal Ginjal Kronik di RSUD Prembun Kabupaten Kebumen periode 2023. Metode: Penelitian ini dilakukan secara retrospektif. Pada penelitian ini menggunakan uji bivariat metode deskriptif korelatif dengan uji chi-square kemudian dilihat hubungan antara lama rawat inap pasien dengan variabel terikat yaitu data demografi, data laboratorium, data obat, data klinik. Hasil: Dari hasil penelitian ini parameter umur pada pasien Gagal Ginjal Kronik yaitu umur diatas 65 tahun menaikan resiko lama di rawat tetapi tidak signifikan OR = 1,570 (0,518-4,756) ; p = 0,301. Parameter jenis kelamin (Wanita) pada pasien Gagal Ginjal Kronik berisiko menurunkan lama dirawat tetapi tidak signifikan dengan OR = 0,787 (0,331-1,870) ; p = 0,372. Parameter umur dan jenis kelamin dapat menurunkan lama dirawat tetapi tidak signifikan. Saran : Perlu dilakukan penelitian lebih lanjut terkait faktor risiko pasien Diabetes Melitus Tipe II dengan lama rawat inap. Kata kunci : Gagal Ginjal Kronik, Hemodialisa, Lama Perawatan 
Co-Authors Ainni, Ayu Nissa Anggraeni, Riski Anwar Sodik, Anwar Astagiri Yusuf, Prasandhya Dewi, Evelyne Citra Dr. Tuty Maryati,M.Pd . Dyah Aryani Perwitasari Fitri, Dwiki Handayani, Eka Wuri Intiyani, Rafila Kurniawati, Dzakiyah Putri Lilik Purwanti Miyarso, Condrosuro Nguyen, Thang Widiastuti, Tri Cahyani Winarno, Tunjung Wirawan, I Gusti Made Arya Sutha Yusuf, Prasandhya Astagiri Zaki Baridwan