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Sedentary Lifestyle Pada Penderita Hipertensi Platini, Hesti; Maulana, Indra Maulana; Kosim; Widia Hastuti
Jurnal Keperawatan 'Aisyiyah Vol. 11 No. 1 (2024): Jurnal Keperawatan 'Aisyiyah
Publisher : Universitas 'Aisyiyah Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33867/hqz2g958

Abstract

Sedentary time merupakan masalah kesehatan masyarakat yang besar mengingat tingginyaprevalensi dan biaya kesehatan. Kondisi hipertensi dapat mempengaruhi aktivitas fisik, sehingga sedentary lifestyle menjadi salah satu faktor resiko yang dapat terjadi pada penderita hipertensi akibat kondisi kesehatan maupun faktor lain. Tujuan penelitian ini yaitu untuk mengetahui sedentary lifestyle pada pasien yang mengalami hipertensi Metode Penelitian ini yaitu deskriptif kuantitatif. Jumlahresponden sebanyak 75 dengan tekhnik pengambilan sampel yaitu probability/ random sampling. Pada penelitian ini sedentary lifestyle kemudian dikategorikan menjadi 3 tingkat yaitu ringan, sedang, dan berat berdasarkan durasi penggunaaan waktu sedentary. Kriteri inklusi yaitu pasien dengan hipertensi grade 1, bersedia menjadi responden. Kuesioner dalam penelitian ini yaitu The Sedentary Behaviour Questionnaire (SBQ). Hasil penelitian menunjukan bahwa Tingkat sedentary lifestyle pada penderita hipertensi yaitu kategori sedang (56%). Aktivitas fisik yaitu rata-rata 52 jam/minggu. Kesimpulannya sedentary lifestyle pada penelitian ini menunjukan bahwa aktivitas pada penderita hipertensi berada pada level sedang. Hal ini menunjukan bahwa aktivitas fisik responden mengarah kepada kurangnya aktivitas fisik. Sehingga perawat perlu mencegah masalah Kesehatan atau komplikasi yang berkaitan dengan sedentary lifestyle.
Penatalaksanaan Dispnea pada Pasien Pneumonia dengan Congestive Heart Failure (CHF): Case Report Edellweisse Silvia Salsabella; Kosim
Buletin Ilmu Kebidanan dan Keperawatan Vol. 4 No. 02 (2025): Buletin Ilmu Kebidanan dan Keperawatan
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/bikk.v4i02.1239

Abstract

Infeksi akut pada pneumonia menghasilkan akumulasi cairan atau eksudat di alveoli yang mengganggu pertukaran gas dan menimbulkan hipoksemia. Hubungan antara pneumonia dan CHF bersifat multifaktorial, dipengaruhi oleh peningkatan kebutuhan oksigen miokard, penurunan oksigenasi darah akibat hipoksemia, efek kardiotoksik mikroorganisme, vasokonstriksi akibat hipoksia, serta respons inflamasi sistemik yang melibatkan pelepasan katekolamin dan sitokin proinflamasi. Dispnea menjadi salah satu gejala klinis yang umum ditemukan pada pasien pneumonia dengan CHF. Tujuan penelitian ini adalah untuk mendeskripsikan penatalaksanaan dispnea yang diberikan pada pasien pneumonia dengan CHF. Penelitian ini menggunakan metode studi kasus. Subjek penelitian ini seorang perempuan berusia 64 tahun dengan diagnosa medis pneumonia dengan CHF yang mengeluh dispnea. Intervensi keperawatan yang diberikan meliputi pemantauan respirasi, terapi oksigen, pengaturan posisi, dan teknik pursed lip breathing selama empat hari. Evaluasi keberhasilan intervensi dilakukan melalui parameter frekuensi nafas, saturasi, oksigen, penggunaan otot bantu nafas, dan skala dispnea Modified Medical Research Council (mMRC). Hasil menunjukkan perbaikan signifikan ditandai dengan penurunan frekuensi nafas, peningkatan saturasi oksigen, penurunan jenis alat dan kecepatan aliran oksigen, tidak ditemukan lagi penggunaan otot bantu nafas, dan penurunan skala dispnea. Kombinasi dari intervensi yang diberikan efektif dan efisien dalam mengurangi dispnea pada pasien pneumonia dan CHF.
Pengaruh Bubuk Talk dan Limbah Karbit Sebagai Substitusi Filler pada Campuran AC-WC Biyanti, Alifia Cikha; Rezkiyanni, Annisa; Indrayani; Kosim
Cantilever: Jurnal Penelitian dan Kajian Bidang Teknik Sipil Vol. 14 No. 1 (2025): Cantilever
Publisher : Department of Civil Engineering and Planning, Faculty of Engineering, Sriwijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35139/cantilever.v14i1.411

Abstract

Asphalt Concrete - Wearing Course (AC-WC) is one of the surface layers in the construction of highway flexible pavement. The composition consists of: asphalt, split stone, sand and stone ash. Asphalt serves as a filler of empty space between coarse, fine, and folder aggregates. The purpose of this study was to determine the Optimum of Asphalt Content (KAO) value used as a filler, Stability, Flow, VIM, VMA, VFA, and MQ in AC-WC asphalt mixtures using cement, talc powder and carbide waste as fillers. The uniqueness of the research on talc powder and carbide waste on AC-WC asphalt mixtures is to reduce and utilize carbide waste that is no longer used and utilize talc powder as an additional filler binder or material. Marshall testing using 6% Optimum of Asphalt Content (KAO) with variations of cement, talc powder and carbide waste of 0% Cement; 100% BTLK, 25% Cement; 75% BTLK, 50% Cement: 50% BTLK, 75% Cement; 25% BTLK, and 100% Cement; 0% BTLK. From the results of this test, it was found that a mixture of cement, talc powder and carbide waste in the ratio of 75%; 25% will improve stability, flow, VFA and MQ.
Desain Sistem Informasi Penerimaan Siswa Baru Berbasis Web Dengan Google Site Terintegrasi Google Form di MA Ma’arif Cimanggu Kuswantoro; Mochammad Hasymi Somaida; Kosim
JIQSI : Jurnal Ilmu Al Qur'an dan Studi Islam Vol 1 No 2 (2023): Juli-Desember 2023
Publisher : STIQ Miftahul Huda Rawalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64341/jiqsi.v1i2.11

Abstract

A computer-based system for processing student data, especially when registering and admitting new students. The current ongoing service system is still semi-computerized and each service must be run manually in the office to provide information about the required PPDB services. Due to the existence of a new student admission system, the services of the Student Admissions Committee / New Master Maarif Chimangu are provided, so this is still necessary to find solutions that can replace manual methods with already computerized ones. It's an interesting discussion. This study uses data collection techniques such as observation, interviews, and literature review to analyze the waterfall methodology, namely requirements analysis and definition, system and software design, implementation and unit testing, integration and system testing, operational and Perform maintenance and unify the modeling language. UML uses a Google Sheets database to write programs using the PHPHypertext Preprocessor programming language to describe the flow of steps, system requirements, and test methods (black box testing) in the form of objects. UML as a tool that can. As a result of the research, it was found that a new information system for student recruitment could be introduced.
Psychological Wellbeing of Parents Who Have Children with Cancer at Ambu Cancer Fighter House Foundation Rukmasari, Ema Arum; Agusti, Adriyan Dwi; Ramdhanie, Gusgus Ghraha; Kosim
International Journal of Science and Society Vol 5 No 5 (2023): International Journal of Science and Society (IJSOC)
Publisher : GoAcademica Research & Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54783/ijsoc.v5i5.1084

Abstract

Cancer is a chronic disease that requires intensive treatment. While undergoing treatment, parents of children with cancer are faced with various problems that interfere with their mental health, which can delay the child's treatment process. The aim of this research is to find out the psychological well-being of parents who have children with cancer at the Ambu Cancer Fighters Home Foundation. This research used quantitative descriptions, involving 40 parents who had children with cancer at the Ambu Cancer Fighters Home Foundation. The number of samples taken in this research was 37. The research sampling technique was accidental sampling. The Ryff psychological well-being scale questionnaire was used as an instrument. The data analysis used was univariate. More than half of the respondents had a high level of mental well-being (59.5%), and less than half of the respondents had a low level of mental well-being (40.5%). High levels of psychological well-being indicate that parents are able to face various challenges in caring for their children. Efforts are needed to improve the psychological well-being of parents so they can provide maximum care to their children.
The Effectiveness of Developing Science Learning Devices with the Integrated PBL Model of the STEM Approach in Improving Students' Problem-Solving Ability and Self-Efficacy Devi, Via Monica; Susilawati; Kosim
Jurnal Penelitian Pendidikan IPA Vol 10 No 5 (2024): May
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i5.4352

Abstract

Natural science learning is a process of discovery, therefore science learning includes systematic exploration activities, which means not only mastering systematic accumulation but also the process of discovery. It's helps aid participants in solving problems. However, the phenomena encountered show that students' problem-solving abilities are still quite low. The low problem-solving ability is also influenced by students' self-efficacy. Therefore, it is necessary to innovate the development of science learning tools using appropriate models. One model that can be use is the integrated PBL model with the STEM approach. The development carried out aims to increase students' problem-solving abilities and self-efficacy. This type of research is R&D research with the ADDIE development model. Study findings indicate that students' problem-solving abilities have increased by 0.81 in the high category and their self-efficacy has increased by 0.30 in the medium category. These findings are based on the acquisition of the N-gain value. Consequently, it is beneficial to increase students' problem-solving skills and self-efficacy to design science learning resources that incorporate the PBL model and the STEM approach.
SISTEM REKOMENDASI MENU MINUMAN DENGAN METODE CONTENT – BASED FILTERING BERBASIS ANDROID PADA MUBTADA KOPI Kosim; Reza Prihandi
Journal of Computation Science and Artificial Intelligence (JCSAI) Vol. 1 No. 1 (2024): Journal of Computation Science And Artificial Intelligence (JSCAI)
Publisher : PT. Berkah Digital Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58468/wmdffh82

Abstract

Overchoice is a cognitive disorder in which people have difficulty making decisions when faced with multiple choices, having too many equivalent options is very mentally draining because each option has to consider several alternatives to choose the best option. During this technological development where everyone is faced with an infinite number of choices every day, this overchoice phenomenon often occurs in everyday life such as choosing a drink at one of the café shops, therefore the Recommendation System is needed to help in choosing the drinks you want to order and to help in choosing other options. Recommendation System (RS) is a subclass of machine learning that is generally concerned with ranking or assessing products or users. These recommendations pertain to the decision-making process, such as what items to buy, what music to hear, or what online news to read. In this study, researchers propose to build a non-personalized hospital at the Mubtada Kopi café with the best rated approach and content-based filtering techniques. The content – based filtering technique will try to take user preferences explicitly, namely asking users to choose the preferences that users want from the 6 previously created content and then calculating the match of user preferences with the 6 contents on each item using the dot matrix formula. After getting the results, the number will be changed to a rating to match the RS approach, which is best rated which is made non-personalized. This rating is an indication of the compatibility of user preferences with the items on the Mubtada Kopi menu list. The larger the rating, the more it matches the user's preferences
COMBINATIVE DISTANCE-BASED ASSESSMENT (CODAS) METHOD IN SELECTING TAHFIZ SCHOLARSHIP ACCEPTANCE AT MANBA'UL 'ULUM Islamic Boarding School Kosim; Igen Meyasha; Mohamad Alif Nurfatah
Journal of Computation Science and Artificial Intelligence (JCSAI) Vol. 1 No. 2 (2024): Journal of Computation Science And Artificial Intelligence (JSCAI)
Publisher : PT. Berkah Digital Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58468/b35qd935

Abstract

Pondok pesantren merupakan lembaga pendidikan islam yang memberikan penerapan pembelajaran agama kepada santriwan dan santriwatinya dengan mengutamakan pengajaran Al-Quran dan Hadis Nabi. Sebagai pendukung para santri dalam kegiatan pembelajaran, pihak pondok pesantren berkewajiban memberikan bantuan berupa beasiswa kepada para santri yang memiliki permasalahan dalam hal keuangan. Pondok Pesantren Manba’ul ‘Ulum merupakan salah satu Pondok Pesantren yang ada di wilayah Kabupten Cirebon yang terdapat beasiswa tahfiz Al-Qur’an. Dikarenakan sistem yang digunakan oleh Pondok Pesantren Manba’ul ‘Ulum belum menggunakan sistem yang berbasis komputerisasi dalam proses menentukan pemilihan penerimaan beasiswa tahfiz, hal ini menyebabkan proses ini tidaklah berjalan secara efisien, untuk itu dibutuhkan sebuah sistem yang dapat membantu proses pemilihan penerima beasiswa tahfiz. Ada banyak metode Sistem Pendukung Keputusan namun peneliti menggunakan metode Combinative Distance-Based Assesment (CODAS) untuk diterapkan kedalam sistem. Hasil yang didapatkan berdasarkan pada nilai dari perhitungan dengan menggunakan metode CODAS, yang diurutkan dari nilai yang terbesar ke yang terkecil. ABSTRAC Islamic boarding schools are Islamic educational institutions that provide the application of religious learning to students and female students by prioritizing the teaching of the Quran and the Prophet's Hadith. As a supporter of students in learning activities, the Islamic boarding school is obliged to provide assistance in the form of scholarships to students who have financial problems. Manba'ul 'Ulum Islamic Boarding School is one of the Islamic Boarding Schools in the Cirebon Kabupten area which has a Qur'an tahfiz scholarship. Because the system used by the Manba'ul 'Ulum Islamic Boarding School has not used a computer-based system in the process of determining the selection of tahfiz scholarship recipients, this causes this process to not run efficiently, for that a system is needed that can help the process of selecting tahfiz scholarship recipients. There are many Decision Support System methods but researchers use Combinative Distance-Based Assessment (CODAS) methods to apply to the system. The results obtained are based on the value of the calculation using  the CODAS method, which is sorted from the largest value to the smallest.
Implementasi Algoritma Frequent Pattern-Growth Pola Pembelian Pada Koperasi Kartika Jati Manunggal Faisal Akbar; Qori Khoirun Nisa; Kosim
INFOKOM Vol. 16 No. 1 (2023): JURNAL INFOKOM
Publisher : STIKOM POLTEK CIREBON

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

Abstract

Companies have realized how important it is to have a database to face business competition, namely a database system that is reliable and integrated with all parts of the company. One of the data that plays an important role in supporting product analysis, namely customer purchasing patterns. Customer purchasing patterns are important to be able to know the relationship between one product and another. If this pattern has been formed and known, it will greatly help business managers to maintain stocks of goods that are selling well so that they remain available and not empty which can result in the company losing sales opportunities. Transaction data becomes an object to be processed using data mining applications. The data mining method used is association rule mining to find patterns of interrelationships between items, while the algorithm used is the Frequent Pattern Growth (FP-Growth) algorithm. This algorithm applies a tree data structure to determine purchase patterns. The pattern is determined by two parameters, namely support and confidence. The result is a support value obtained of 25% and a confidence value of 100% if the consumer has Pulpy orange 300 ml, the consumer will buy Hydro coco ori. In addition, the support value is 17% and the confidence value is 100% if consumers buy other drinks. The application of the FP-Growth algorithm can help determine what products must be available and assist in managing stock items
Implementasi Metode Content-Based Filtering Berbasis Android Untuk Memberikan Rekomendasi Menu Minuman kosim; Reza Prihandi
INFOKOM Vol. 16 No. 1 (2023): JURNAL INFOKOM
Publisher : STIKOM POLTEK CIREBON

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

Abstract

Overchoice is a cognitive disorder in which people have difficulty making decisions when faced with many choices that make the problem in this study. This overchoice phenomenon often occurs in choosing drinks in cafes and restaurants. The purpose of this research is to create a Recommendation System (RS) to assist in choosing the drink you want to order. Making a non-personalized hospital at the Mubtada Kopi cafe uses the best rated approach and the content-based filtering method. The content-based filtering method tries to retrieve user preferences explicitly, that is asking the user to choose the preferences the user wants from the six content that has been made before then calculating the match between the user's preferences and the six contents in each item using the dot matrix formula. The results will be converted into a rating to match the best rated hospital approach which is made on a non-personalized basis. This rating indicates a match between the user's preferences and the items on the Mubtada Kopi menu list. The higher the rating, the better it matches the user's preferences. The order recommended by RS with the Content-based filtering method is rosella tea, chocolate, lemon tea, blossom tea, and spice tea