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Algorithm for the Representation of Parameter Values of Electrocardiogram Sabar Setiawidayat; Rudy Joegijantoro
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 3: June 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i3.6934

Important parameters that need to be known from the results of cardiac examination using Electrocardiograph is the parameter value of PQRST amplitude peak on each lead. Peak P is associated with Atrium depolarization, QRS waves associated with ventricle depolarization and peak T associated with ventricle repolarization. The PQRST peak values on each lead to date are still manually calculated using small boxes on the ECG paper. Manual calculations lead to less accurate results and calculated waiting times. Less accuracy can lead to misdiagnosis while waiting times can result in increased disease stage. In this article we have been able to represent the values of PQRST amplitude peak and cardiogram in each cycle on each lead of the electrocardiogram. Continuous signal Electrocardiogram (ECG) examination results, in sampling at certain frequencies to obtain discrete data which is the amplitude as a function of integer numbers (N). The maximum amplitude value of each cycle is peak R. The peak time duration R to peak R (dR) is used as the time period of each cycle. A 1.5dR reversal of RN + 1 reverses the starting point of the cycle (sc) while the 0.5dR duration reversal of RN + 1 will be obtained by the end point of the cycle (ec). The maximum and minimum amplitude values between sc and peak R are peak P and peak Q respectively, while the minimum and maximum values between peak R to ec are peak Q and peak T respectively. Discrete data from Physionet MIT-BIH and bmeuwg are used as data to obtain PQRST peak electrocardiogram parameter values in each cycle.

Sistem Pakar Penyakit Menular Menggunakan Dempster Shafer Dengan Rekomendasi Tempat Layanan Kesehatan Istiadi Istiadi; Emma Budi Sulistiarini; Rudy Joegijantoro; Dedi Usman Effendy
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 1 (2020): Februari 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Delay in the handling of a type of disease can pose a risk for someone who has the surrounding environment. Often the casualties are caused by people's ignorance of the spread of dangerous infectious diseases. People's ignorance as an action that must be done immediately and where to do to get help. Thus it is necessary to build an application of an expert system that can diagnose infectious diseases, provide recommendations for disease management, and provide recommendations for appropriate and acceptable health services. The system was built to diagnose six types of infectious diseases that are of particular concern to Malang City. Various infectious diseases with similar symptoms that appear will lead to the possibility of a diagnosis and many possibilities for diagnosis. The Dempster Shafer method is an approved one that can be used in overcoming these factors. The disease expert consultation system application using the Dempster Shafer method obtained an accuracy test result of 88.5%. While the system usability test obtained results, 76% agreed to system reliability, 85% strongly agreed to system efficiency, 83% strongly agreed to ease for use system, and 79% agreed to accurate system.

Perbandingan Metode CBR dan Dempster-Shafer pada Sistem Pakar Terintegrasi Layanan Kesehatan Istiadi Istiadi; Emma Budi Sulistiarini; Rudy Joegijantoro; Affi Nizar Suksmawati
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 5 No 6 (2021): Desember 2021
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Infectious disease is a very dangerous disease with a high mortality rate. Delays in handling the spread of an infectious disease can be minimized using an expert system. This study uses an expert system as a disease consulting service that is integrated with the health care system. Integration with the health care system is used for the knowledge acquisition process. The knowledge base on the expert system uses patient medical record data obtained through the health care system. The expert system can diagnose infectious diseases of sore throat (Pharyngitis), diphtheria, dengue fever, Typhoid fever, tuberculosis, and leprosy. The knowledge acquisition process produces 43 symptoms. These symptoms are used to diagnose new cases using Case-Based Reasoning (CBR) and Dempster-Shafer methods. In the CBR method, the similarity measurement process is determined by comparing the K-Nearest Neighbor, Minkowski Distance, and 3W-Jaccard similarity measurement methods. The expert system obtains accuracy values for the CBR K-Nearest Neighbor, CBR Minkowski Distance, and CBR 3W-Jaccard methods at a threshold of 70%, respectively 65.71%, 80%, and 85.71%. The average length of retrieve time required for each similarity method is 0.083s, 0.107s, and 6.325s, respectively. While the diagnosis of disease with Dempster-Shafer gets an accuracy value of 88.57%.

Hospital Waste Management through Green QFD Implementation Rudy Joegijantoro
JOURNAL OF SCIENCE AND APPLIED ENGINEERING Vol 3, No 2 (2020): JSAE
Publisher : Widyagama University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31328/jsae.v3i2.2163

Based on case studies conducted in various health institutions, the high production of medical waste is one proof that medical waste management is still problematic. This study examines various problems in the field of medical waste management. This study explores staff perceptions of medical waste management. This study aims to determine the level of knowledge and attitudes as well as the role of health workers on medical waste management. Here we study the quality index and environmental index of two health care centers, one is a private hospital and one is a government hospital and compared these two indices with each other via a questionnaire survey. To produce more environmentally friendly services, customers, and environmental criteria must be considered during the decision-making process, and the Implementation of Green QFD (G-QFD) provides a very useful methodology to meet this goal.

Penerapan Quality Function Deployment(QFD) Untuk Mengembangkan Kualitas Pelayanan Rawat Jalan Berorientasi Pelanggan Di Rumah Sakit Paru-Paru Rudy Joegijantoro
Jurnal Ilmiah Kesehatan Media Husada Vol 1 No 1: Agustus
Publisher : LPPMK STIKES Widyagama Husada

Quality Function Deployment (QFD) is defined as a method that supports the structured design of products or services. The method is based on the customer needs and involves all the relevant parties within an organization that develops and produces a product through teamwork. It is a method for mapping and prioritizing customer requirements into functional features and technical modules to optimize market performance. Although the quality of a service can be dramatically improved through a QFD exercise, the traditional crisp scoring approach has a major drawback. A wrong conclusion can be easily produced since the fuzzy nature of linguistic correlation terms from evaluation members is ignored. To overcome this problem, fuzzy scoring for linguistic terms is proposed in this paper. This study integrates fuzzy logic into House Of Quality to establish a framework for prioritizing customer requirements to simply, objectively, and scientifically analyze service features.

PERANCANGAN KUALITAS PELAYANAN RUMAH SAKIT MELALUI PENERAPAN FUZZY QUALITY FUNCTION DEPLOYMENT Rudy Joegijantoro; MN Lisan Sediawan
Jurnal Ilmiah Kesehatan Media Husada Vol 2 No 2: Maret
Publisher : LPPMK STIKES Widyagama Husada

Quality Function Deployment (QFD) is defined as a method that supports the structured design of products or services. The method is based on the customer needs and involves all the relevant parties within an organization that develops and produces a product through teamwork. It is a method for mapping and prioritizing customer requirements into functional features and technical modules to optimize market performance. Although the quality of a service can be dramatically improved through a QFD exercise, the traditional crisp scoring approach has a major drawback. A wrong conclusion can be easily produced since the fuzzy nature of linguistic correlation terms from evaluation members is ignored. To overcome this problem, fuzzy scoring for linguistic terms is proposed in this paper. This study integrates fuzzy logic into House Of Quality to establish a framework for prioritizing customer requirements to simply, objectively, and scientifically analyze service features

ADVOKASI GIZI PADA KADER POSYANDU DI DESA ORO-ORO OMBO KEC MATAN BATU KOTA BATU Santoso Budiarjo; Rudy Joegijantoro
Jurnal Ilmiah Kesehatan Media Husada Vol 2 No 2: Maret
Publisher : LPPMK STIKES Widyagama Husada

Malnutrition in children under 5 years old in Indonesia is a common problem in our society , especially in rural areas . This is evidenced by the high prevalence of malnutrition among children under five are related to the high infant born with low weight . Coverage of exclusive breastfeeding 0-6 months in Kecamatan Batu only reached 26.1 % were categorized as low when compared to the target of 67 % . This is caused by a lack of public awareness about the importance of exclusive breastfeeding for 69.2 % and lack of socialization to the community KADARZI of 92.3 % and the need for cooperation between Puskesmas, cadres , PKK and cross- sector and citizens are well established in order to achieve the target program . In order to help overcome these problems it is necessary to be implemented at the village level cadres empowerment . Programmed activities include Survelians , Advocacy , Training and Extension

PERANCANGANPROGRAM KESELAMATAN PASIEN DI RS MENGGUNAKAN QUALITYFUNCTION DEPLOYMENT (QFD) Rudy Joegijantoro
Jurnal Ilmiah Kesehatan Media Husada Vol 3 No 1: Oktober
Publisher : LPPMK STIKES Widyagama Husada

Di Indonesia data tentang KTD apalagi Kejadian Nyaris Cedera (Near miss) masih langka, namun dilain pihak terjadi peningkatan tuduhan “mal praktek”, yang belum tentu sesuai dengan pembuktian akhir. Dalam rangka meningkatkan keselamatan pasien di rumah sakit maka Perhimpunan Rumah Sakit Seluruh Indonesia telah mengambil inisiatif membentuk Komite Keselamatan Pasien Rumah Sakit (KKP-RS). Komite tersebut telah menyusun Panduan Tujuh Langkah Menuju Keselamatan Pasien bagi staf RS untuk mengimplementasikan Keselamatan Pasien di Rumah Sakit. Di samping itu pula KARS (Komisi Akreditasi RumahS akit) Depkes telah menyusun Standar Keselamatan Pasien Rumah Sakit yang akan menjadi salah satu Standar Akreditasi Rumah Sakit. Komponen rumah sakit yang berperanpentingan terhadap program keselamatan pasien di rumah sakita adalah tenaga medis (dokter, perawat), tenaga penunjang medis (laborat, apotek), laundry, dapur, pengelolaan limbah RS, kondisi bangunan, serta sistem di RumahSakit (Kajian resiko, identifikasi dan pengelolaan resiko, pelaporan dan analisis insiden, analisis belajar, tindaklanjut dan implementasi solusi). Penelitian ini bertujuan untuk menciptakan sebuah program keselamatan pasien rumah sakit (hospital patient safety) yang memiliki tingkat keberhasilan pelaksanaan tinggi dan dapat dilaksanakan oleh semua rumah sakit menggunakan metode QFD (Quality Function Deployment) berdasarkan tujuh standar keselamatan pasien.

Mamdani Fuzzy Expert System for Online Learning to Diagnose Infectious Diseases Istiadi Istiadi; Emma Budi Sulistiarini; Rudy Joegijantoro; Anik Vega Vitianingsih; Affi Nizar Suksmawati
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 6 No 6 (2022): Desember 2022
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v6i6.4656

E-learning and expert systems can be implemented for learning in the health sector. Through the e-learning system, prospective health workers can analyze problems by exploring the material in the system. However, material learning alone is less effective, so case study-based learning using an expert system is needed to strengthen understanding. The research applies an expert system to online learning to diagnose several infectious diseases. The disease diagnosis process uses the backward chaining method and the Mamdani fuzzy inference system. The fuzzy Mamdani inference system determines the intensity of disease severity so that appropriate treatment recommendations can be made. The test findings on 15 test datasets yielded a backward chaining accuracy value of 100%. Three test scenarios were used to establish the test using the Mamdani fuzzy inference method. Scenario 1: Testing with the Center of Gravity defuzzification and Fuzzy Mamdani Min inference system Tests employing the Fuzzy Mamdani Min inference method and center average defuzzification are used in Scenario 2. Scenario 3 involves testing using the Fuzzy Mamdani Product Inference System with Center Average Defuzzification. The average outcome for the intensity of disease severity utilizing the Fuzzy Mamdani Min inference system with Center of Gravity defuzzification was greater than that of the two test scenarios that were suggested, which was 49.43%.

Analisis Risiko Lingkungan Fisik Rumah dan Kebiasaan Merokok terhadap Kasus Pneumonia pada Balita di Pamekasan Gilang Dewi Fauziah Hazainudin; Devita Sari; Rudy Joegijantoro
Jurnal EnviScience (Environment Science) Vol 7, No 1 (2023): Reviewing Environmental Qualities that Enhance the Human Health Quality
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/7ijev.v7iss1.514

Pneumonia adalah infeksi pada paru-paru yang disebabkan oleh bakteri Streptococcus pneumonia yang menginfeksi saluran pernapasan bagian atas orang dewasa dan anak-anak. Kasus tertinggi pneumonia balita terjadi di Kabupaten Pamekasan yaitu terdapat di Puskesmas Sopa’ah. Tujuan penelitian ini untuk menganalisis pengaruh faktor risiko lingkungan fisik rumah dan kebiasaan merokok terhadap kejadian pneumonia pada balita di Puskesmas Sopa’ah. Desain penelitian menggunakan observasional analitik dengan pendekatan cohort. Sampel penelitian dibagi menjadi 2 (dua), yaitu 50 balita yang sakit dan 24 balita yang sudah sembuh. Penentuan sampel menggunakan teknik purposive sampling. Instrument penelitian yang digunakan adalah kuesioner, lembar observasi, lux meter dan sound level meter. Analisis data yang digunakan adalah analisis univariat dan analisis bivariate dengan menggunakan uji chi-square dan Relative Risk (RR). Hasil penelitian menunjukkan bahwa usia, jenis kelamin dan suhu tidak berpengaruh terhadap kejadian pneumonia pada balita. Kepadatan hunian berpengaruh terhadap kejadian pneumonia pada balita (p=0,032 RR=1,431), ventilasi berpengaruh terhadap kejadian pneumonia pada balita (p=0,021 RR=1,479), pencahayaan berpengaruh terhadap kejadian pneumonia pada balita (p=0,032 RR=1,421), kelembaban berpengaruh terhadap kejadian pneumonia pada balita (p=0,031 RR=1,449), dan kebiasaan merokok berpengaruh terhadap kejadian pneumonia pada balita (p=0,017 RR=2,008). Berdasarkan hasil penelitian dapat disimpulkan bahwa faktor yang paling berisiko terhadap kejadian pneumonia pada balita yaitu kebiasaan merokok anggota keluarga dengan nilai relative risk (RR) 2,008.Kata kunci: Pneumonia, Lingkungan Fisik Rumah, Kebiasaan Merokok

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