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Pelatihan SIGA di Desa Kemuning Lor, Jember Gamasiano Alfiansyah; Ria Chandra Kartika; Mudafiq Riyan Pratama; Selvia Juwita Swari; Irene Ratri Andia Sasmita
J-Dinamika : Jurnal Pengabdian Masyarakat Vol 8 No 2 (2023): Agustus
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-dinamika.v8i2.3678

Abstract

Masalah gizi merupakan permasalahan kesehatan masyarakat yang disebabkan oleh berbagai faktor. Salah satu masalah gizi yang ada di Indonesia adalah stunting. Profil desa kemuning lor menunjukkan bahwa terdapat 2.986 jiwa balita dimana balita merupakan kelompok yang rentan mengalami stunting. Oleh karena itu orang tua perlu untuk memantau status gizi balitanya secara teratur. Salah satu caranya dapat menggunakan Sistem Informasi Gizi Keluarga (SIGA). Tujuan kegiatan adalah untuk meningktan keterampilan peserta dalam melakukan deteksi dini stunting menggunakan SIGA. Metode yang digunakan adalah ceramah dan simulasi. Peserta kegiatan adalah perangkat desa, ibu PKK, dan kader kesehatan. Hasil kegiatan menunjukkan bahwa seluruh peserta mampu menggunakan SIGA. Hasil pelatihan diharapkan dapat didiseminasikan kepada masyarakat luas sehingga masyarakat dapat melakukan pemantauan gizi balita secara mandiri.
Evaluation of Hospital Management Information Systems in Research Units Using the PIECES Method Gamasiano Alfiansyah; Mudafiq Riyan Pratama; Selvia Juwita Swari; Iqbal Rhamadhan Suryawiyanto; Faizatun Nikmah
JMMR (Jurnal Medicoeticolegal dan Manajemen Rumah Sakit) Vol. 11 No. 3 (2022): December 2022
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jmmr.v11i3.15833

Abstract

Technological advances have an impact on health services, one of which is the use of hospital management information systems in the research unit of the Dr Sardjito hospital. However, the implementation of the system encountered obstacles, including the absence of notification of the maximum loan limit and the absence of case classification based on disease in the borrowed medical record file. The purpose of the study was to evaluate the hospital management information system in the research unit. This research was a qualitative research with respondents 3 officers in the research unit. Data collection through in-depth interviews and observation. Data were analyzed using content analysis method. The results showed that the system does not have a notification if the number of files borrowed exceeds the maximum limit, the system produces loan data and medical record return data accurately, but the system can be accessed simultaneously on different computers. This study suggests to hospitals to add a notification feature if the number of files borrowed exceeds the maximum limit and add a medical record borrowing feature based on disease classification.
Pengembangan Potensi Kelor Di Desa Kemuning Lor, Jember Alfiansyah, Gamasiano; Swari, Selvia Juwita; Pratama, Mudafiq Riyan; Kartika, Ria Chandra; Sasmita, Irene Ratri Andia
PEKAT: Jurnal Pengabdian Kepada Masyarakat Vol. 3 No. 1 (2024): April
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37148/pekat.v3i1.30

Abstract

The goal of the Sustainable Development Goals (SDGs) is to end malnutrition by 2030. Kemuning Lor is a village that produces abundant moringa, but it has not been optimized, especially in tackling stunting. The aim of this activity was to increase the knowledge and skills of the Kemuning Lor village community in processing moringa into moringa modisco that has economic value and can reduce the prevalence of stunting. The methods used include socialization, training and mentoring. The result of this activity was that the community was able to process moringa into products that were healthy and had economic value. We expect that this knowledge and skills can become a strategy in overcoming stunting and improving the economy.
Perancangan Model (Blue Print) Aplikasi Penghitung Sitasi dan ArticleHub Pada Publikasi Jurnal Ilmiah Yunus, Muhammad; Pratama, Mudafiq Riyan
BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Vol 4 No 2 (2023): September
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37148/bios.v4i2.108

Abstract

The number of scientific journals, especially in Indonesia, is not commensurate with their quality. This can be seen from the number of journals accredited by SINTA which is not comparable to the number of journals indexed by Garuda. One indicator of a quality journal that is highly useful is the number of citations (scientific impact). In the substantive elements of journal accreditation assessment in Arjuna, the number of citations includes points that have a high score (maximum 8) if those who have cited them over the last 3 years are high (>30 citations). However, to find out the number of citations, the journal must be indexed in dimensions which are crossref products. In accordance with the latest journal accreditation guidelines released in 2021, citations that are recognized only use dimensions. But the problem is that the dimensions calculation process is not real-time, where the citation calculation results will be displayed four times a year. This is certainly not effective considering that scientific articles in journals can be cited by other articles at any time. It is mandatory to use dimensions because currently the Garuda and Sinta portals do not accommodate the needs related to citation calculations. The next problem is that there is no platform in one application that can bring together writers and journal managers, so up to now writers have been looking for just any journal for publication, on the other hand, journal managers have been aggressively promoting through email broadcasts and calls for papers, but sometimes it doesn't feel optimal. So the solution to this problem is the need for a multifunctional platform in the form of a scientific journal citation calculation application and article hub. The results of the research are in the form of a blueprint for the application of citation calculations and articlehub in scientific journal publications. Where the blueprint shows that the citation process is real time or up to date so that the latest number of citations in scientific journals can be known. ​
The Probability of Stroke Based on Clinical Decision Support System (CDSS) using the Framingham Risk Score Method in Hospital Suryana, Arinda Lironika; Pratama, Mudafiq Riyan; Alfiansyah, Gamasiano
ARTERI : Jurnal Ilmu Kesehatan Vol 5 No 1 (2023): November
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37148/arteri.v5i1.412

Abstract

Stroke is the main cause of death in Indonesia. Identification of stroke risk factors can use the Clinical Decision Support System (CDSS). Researchers have designed and developed a CDSS using the Framingham Risk Score (FRS) method to identify stroke in patients. The study aims to identify stroke risk factors using CDSS with the Framingham Risk Score method in dr Soebandi Hospital.This research was an analytic observational study using secondary data from medical record documents of neurology patients. . The sampling technique used was incidental sampling that met the inclusion criteria and exclusion criteria. The inclusion criteria used in selecting medical records were medical records that had complete data regarding gender, age, systolic blood pressure, total cholesterol, HDL, smoking behavior, history of diabetes mellitus, and the patient's stroke incidence thus obtaining 14 patient medical records.. Data were analyzed using the FRS method. Based on the research results, it can be concluded that there were 8 patients with high risk and 6 patients with low risk. However, further research needs to be carried out on the relationship between variables so that they can contribute in more detail to efforts to reduce the prevalence of stroke in society.
RANCANG BANGUN REKAM MEDIS ELEKTRONIK PELAYANAN RAWAT JALAN BERBASIS WEB Amaliyah, Hikmah; Yunus, Muhammad; Roziqin, Muhammad Choirur; Pratama, Mudafiq Riyan
J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Vol 5 No 4 (2024): September
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-remi.v5i4.4781

Abstract

Patrang Health Center as a health facility that organizes medical records in supporting the provision of individual health services is carried out semi-manually and hasn’t implemented SIMPUS where the recording is still performed manually and assisted by using Google Sheet. The average number of daily visits that aren’t comparable to the staff available and haven’t optimized technology has hampered the process of providing medical records so it can affect the quality of service. This requires a system that can support the implementation of medical records so it can optimize the staff in providing outpatient services. This study aims to built an electronic medical record of outpatient services at the Patrang Health Center by using the R&D as a research type and using the Waterfall as a system development method which includes the phases of defining requirements, design system, implementation and testing the system using the Black Box testing method where the menus and functions are in accordance with user requirements and run successfully. The system has a menu to record registration activities, examinations, medicine data management and making reports so that it can improve the quality of officers in providing services.
Optimasi Keputusan Metode Persalinan dengan Algoritma C4.5 Alfianah, Adinda Bunga; Pratama, Mudafiq Riyan; Yunus, Muhammad; Vestine, Veronika
J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Vol 6 No 1 (2024): December
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-remi.v6i1.4777

Abstract

In 2018, the Indonesian Ministry of Health conducted a survey revealing that the rate of deliveries via Caesarean Section (C-Section) had exceeded the WHO's maximum standard of 17.6%. At Aulia Hospital in Pekanbaru, the prevalence of C-Sections reached 76% per 1000 births, significantly higher than the international benchmark. This study aims to analyze the factors influencing delivery methods using the C4.5 algorithm. The research employs a quantitative analytic approach with Secondary Data Analysis (SDA). A dataset of 500 records with 11 variables was utilized, including maternal age, gestational age, hypertension, hemoglobin, glucose levels, delivery history, fetal position, Cephalopelvic Disproportion (CPD), premature rupture of membranes (PROM), oligohydramnios, and estimated fetal weight (EFW). The C4.5 algorithm demonstrated 92% accuracy in predicting delivery methods, with a precision of 75%, indicating its ability to correctly identify necessary C-Sections. Furthermore, it achieved a recall of 100%, reflecting its effectiveness in identifying all actual C-Section cases. The rule tree analysis highlighted delivery history as the primary determinant in selecting the delivery method. These findings are expected to support medical decision-making processes regarding delivery methods and improve the management of high C-Section rates.
Eco-Friendy Project di Desa Kemuning Lor, Kabupaten Jember Alfiansyah, Gamasiano; Swari, Selvia Juwita; Kartika, Ria Chandra; Pratama, Mudafiq Riyan
Journal of Community Development Vol. 5 No. 3 (2025): April
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/comdev.v5i3.1490

Abstract

The increasing population is followed by a rise in waste production, both organic and inorganic. A preliminary survey showed that households generate a large amount of organic waste that has not been properly processed. The community tends to dispose of waste at landfills and then burn it. The aim of this activity is to implement the Eco-Friendly Project by converting organic waste into eco-enzyme in Kemuning Lor Village, Jember Regency. The target participants of this community service activity are members of the PKK, health cadres, youth groups, and village officials. The results showed an increase in participants' understanding, and they were able to independently produce eco-enzyme from organic waste. It is recommended that continuous activities be conducted to provide health education to the community, and that the results of this community service activity be disseminated widely to the public.
Sistem Deteksi Struktur Kalimat Bahasa Arab Menggunakan Algoritma Light Stemming Mudafiq Riyan Pratama; Muhammad Yunus
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 19 No. 1 (2019)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v19i1.509

Abstract

To understand Arabic, it is necessary to study nahwu theory. Nahwu theory is the study of structure of Arabic sentences. By learning nahwu, being able to distinguish subjects, predicates and objects in sentences. One of the fields in the computer that studies about human language processing is NLP (Natural Language Processing), which is natural human language processing through syntactic analysis of sentences structure. One method to analyzing syntactic of sentences is stemming. One variant of the stemming algorithm is Light Stemming algorithm. Light Stemming algorithm is an algorithm that only removes prefix and sufix. Based on the tests conducted, the light stemming algorithm is able to detect nahwu with an accuracy rate of 82.22%. The 17.78% failure rate occurs because words that do not have an affix will be detected automatically the type is fi’il (verb), even though the fact may be that the type is isim (noun), and the failure of the detection results is also due to not being able to stemming the words that have affix in the middle (infix), because indeed the process of light stemming only eliminates the sufix and prefix.