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All Journal Jurnal Komputer Terapan Jurnal Kreativitas PKM Jurnal Mantik Jurnal Sistem Informasi dan Teknologi Jaringan Jurnal KeFis : Jurnal Kesehatan dan Fisioterapi JITER-PM (Jurnal Inovasi Terapan - Pengabdian Masyarakat) Jurnal Pengabdian Masyarakat dan Riset Pendidikan Jurnal Perilaku Kesehatan Terpadu Jurnal Testing dan Implementasi Sistem Informasi
Sapriadi Sapriadi
Institut Kesehatan Helvetia
Humanities Computer Science & IT Dentistry Economics, Econometrics & Finance Education Engineering Health Professions Languange, Linguistic, Communication & Media Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Analisis Akurasi Modifikasi k-Nearest Neighbour Pada Data Pencemaran Udara Sapriadi Sapriadi
Jurnal Sistem Informasi dan Teknologi Jaringan (SISFOTEKJAR) Vol 2 No 2 (2021): September : 2021
Publisher : Pustaka Timur Publisher

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Abstract

k-Nearest Neighbor (k-NN) is one of the most popular machine learning methods to date. k-NN determines the similarity of data or objects based on the proximity of the distance between data to a class or label or other data group. The distance measurement method on k-NN is considered ineffective because it gives the same weight for each characteristic. The majority vote in determining the data class is also considered problematic because it ignores the closeness between the data and allows multiple majority classes. To solve this problem, the Local Mean Distance Weight k-Nearest Neighbor (LMDWkNN) method emerged. This method is considered capable of providing better accuracy results than k-NN. In this study, we will look at the accuracy results of the LMDWkNN and k-NN methods on the Air Pollution Standard Index (ISPU) data. In this study, 80% of the data was used as training data and the rest was used as testing data. Furthermore, an evaluation will be carried out using the 10-fold cross validation method from the training data so that the best k value will be obtained. The value of k will be used to make predictions on the testing data. The results of this study show that LMDWkNN is able to provide a better accuracy value than k-NN with a more competitive k value. Where the LMDWkNN method found an average accuracy value of 0.9748 while the k-NN was only 0.9371, which means that the LMDWkNN method increased the accuracy value of 0.0377.
Hubungan Penggunaan Rekam Medis Elektronik Dengan Kepuasan Pengguna Rekam Medis Elektronik Di Unit Rawat Jalan Rumah Sakit Umum Mitra Medika Amplas Medan Tahun 2022 Sapriadi Sapriadi; Shinta Polmidar Romiani Lase
Jurnal Kesehatan dan Fisioterapi Vol 3, No 1 (2023): Jurnal KeFis - Januari 2023
Publisher : LPPM STIKES Siti Hajar dan Insight Power

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Abstract

Background; Electronic Medical Record is the use of electronic methods for collecting, storing, processing, and accessing patient medical records in hospitals that have been stored in a multimedia database management system that collects various sources of medical data. Objective; this study was to determine the relationship between the use of electronic medical records and satisfaction with the use of electronic medical records in the Outpatient Unit of Mitra Medika Amplas General Hospital Medan in 2022. Method; The type of research used is quantitative which is an analytic survey with a cross-sectional approach. The sample in this study was 82 people consisting of 43 polyclinic doctors, 19 nurses, 18 registration staff, and 4 midwives. The data collection instrument used was a questionnaire which was distributed directly to the respondents. The data analysis used was univariate and bivariate analysis using the chi-square test. Results; In this study, it was found that out of 82 respondents, the majority used electronic medical records in the good category, namely 44 people (53.7%) and 41 people (50.0%) were satisfied. Based on the results of the chi-square test, there is a significant relationship between the variable use of electronic medical records and the satisfaction of electronic medical record users in the outpatient unit at RSU Mitra Medika Amplas in 2022 (p-value 0.018 < α 0.05). Conclusion; In this study, there is a significant relationship between the use of electronic medical records and the satisfaction of electronic medical record users in the outpatient unit of RSU Mitra Medika Amplas in 2022.Keywords: Electronic Medical Record, Satisfaction  
Perbandingan Kinerja k-Nearest Neighbor dan Local Mean Distance k-Nearest Neighbor Pada Data Citra Covid-19 Sapriadi Sapriadi
Jurnal Komputer Terapan Vol. 9 No. 1 (2023): Jurnal Komputer Terapan
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35143/jkt.v9i1.6019

Abstract

Corona Virus Disease 2019 (covid-19) merupakan pandemi dunia yang menimbulkan berbagai kerugian di dunia. Diagnosis covid-19 yang valid memerlukan waktu yang cukup lama dan hasil ini tidak sepenuhnya akurat. Salah satu cara untuk meningkatkan hasil akurasi adalah dengan menggunakan image classification. k-Nearest Neighbor (kNN) adalah salah satu Teknik klasifikasi yang paling banyak digunakan untuk melakukan pekerjaan tersebut, hanya saja kNN masih memiliki kelemahan. Untuk mengatasi kelemahan pada kNN, maka dilakukan modifikasi dengan menambahkan local mean dan distance weight, di mana varian kNN ini dikenal dengan nama Local Mean Distance Weight k-Nearest Neighbor (LMDWkNN). Oleh sebab itu, penelitian kali mencoba membandingkan kinerja kedua algoritma ini untuk melakukan image classification pada citra covid-19. Kinerja diukur berdasarkan nilai akurasi, precision, dan recall, di mana dari hasil pengujian terbukti bahwa kinerja LMDWkNN lebih baik dari pada kinerja kNN. Algoritma LMDWkNN mengalami peningkatan rata-rata sebesar 3.5% untuk nilai akurasi, 2.89% untuk precision, dan 3.54% untuk recall. Meskipun begitu kNN tetap mampu menghasilkan kinerja yang sama baiknya yang mana kinerja kNN akan sangat bergantung dari nilai k yang digunakan
K-Nearest Neighbors, decision trees and random forest for diabetes prediction Sapriadi Sapriadi
Jurnal Mantik Vol. 7 No. 4 (2024): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i4.4573

Abstract

Diabetes can be treated and managed by taking medications, such as insulin injections or oral drugs, that help lower the blood sugar level. However, medications alone are not enough to control diabetes. People with diabetes also need to monitor their blood sugar level regularly, follow a balanced diet, limit the intake of sugar and carbohydrates, and avoid alcohol and tobacco. They also need to check their feet, eyes, and kidneys for any signs of damage, and seek medical attention if they notice any problems. Machine learning algorithms can help predict diabetes by learning from historical data and finding patterns that are not easily detected by human experts. They can also handle high-dimensional and noisy data, such as medical images or genomic sequences, that are relevant for diabetes diagnosis. However, machine learning algorithms also have some limitations, such as requiring a lot of data and computational resources, being prone to overfitting or underfitting, and being difficult to interpret or explain. Therefore, we conclude that random forest and decision tree are the best machine learning algorithms for predicting diabetes, and we recommend using them for future research and applications.
The Effect of Effectiveness Online Registration System at the Outpatient Polyclinic During the Covid-19 Pandemic Sapriadi Sapriadi; Yenni Artanti Ziliwu
Jurnal Perilaku Kesehatan Terpadu Vol. 1 No. 1 (2022): Jurnal Perilaku Kesehatan Terpadu
Publisher : Hasanuddin Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61963/jpkt.v1i1.31

Abstract

Online registration with the whatsapp system based on the survey results there are still shortcomings in the online registration service in the online registration service so it is necessary to increase using human resources through technological advancement will also help the service in an integrated manner.  This research is determining the effectiveness of the online registration system at Sundari Hospital.  Cross-sectional quantitative research is the type of study that was used. This study was carried out at the Sundari General Hospital Medan. The population in this study was all patients in the polyclinic room of Sundari General Hospital Medan which amounted to 60 people and all of them were sampled. The data collection instrument uses questionnaires that are distributed directly to respondents. Data analysis using univariate, bivariate and multivariate analysis using simultaneous tests (F-test). Research known that the results of the Chi-Square test on the quality of service to the effectiveness of the online registration system obtained P-Value = 0.000, System Quality to the effectiveness of the P-Value 0.000, the quality of security to the effectiveness of the online registration system P-Value 0.006. Based on the results of the simultaneous test (Test F) a p-value of 0.000 was obtained. In this study, there is an influence simultaneously or simultaneously between the quality of service, system quality, quality of security on the effectiveness of the online registration system at the outpatient polyclinic during the Covid-19 pandemic at the Sundari General Hospital.
Implementasi Forecasting Pada Penjualan Inaura Hair Care Dengan Metode Single Exponential Smoothing Khairul Umam Syaliman; Lidia Maysofa; Sapriadi Sapriadi
Jurnal Testing dan Implementasi Sistem Informasi Vol. 1 No. 2 (2023): Jurnal Testing dan Implementasi Sistem Informasi
Publisher : Lembaga Riset dan Inovasi Almatani

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Abstract

Pada Toko UD Beaute banyak terjadi transaksi penjualan setiap harinya, sehingga data yang disimpan sangatlah besar. Data yang banyak bisa dijadikan informasi yang bermanfaat bagi pemilik toko dalam pengambilan kebijakan. Untuk penggalian data yang banyak tersebutdigunakan teknik data mining. Data mining menggunakan analisi data untuk mengidentifikasi informasi, menemukan pola dan hubungan di dalam data yang dapat digunakan dalam membuat ramalan yang tepat. Pada penelitian ini Data mining digunakan untuk meramal penjualan barang pada Toko UD Beaute. Peramalan yaitu kegiatan estimasi masa depan dengan menggunakan metode khusus untuk mneghasilkan informasi bernilai berdasarkan pola-pola dalam sekumpulan data. Untuk melakukan peramalan penjualan di waktu yang akan datang diperlukan suatu aplikasi peramalan dengan menggunakan metode time series, dengan memprediksi apa yang terjadi berdasarkan data historis di masa lalu. Metode time series pada peramalan penjualan Toko UD Beaute menggunakan perhitungan Single Exponential Smoothing yang diimplementasikan dengan menggunakan bahasa pemograman PHP dan MySQL. Dari perhitungan tersebut akan diuji keakuratannya (nilai error). Dimana nilai error terkecil didapati pada perhitungan dengan menggunakan metode Single Exponential Smoothing.
Sosialisasi Dampak Penggunaan Gadget Terhadap Anak Di Dusun II Desa Pematang Setrak Kecamatan Teluk Mengkudu Kabupaten Serdang Bedagai Sapriadi; Muhammad Crystandy; Syaliman, Khairul Umam
JITER-PM (Jurnal Inovasi Terapan - Pengabdian Masyarakat) Vol. 1 No. 2 (2023): JITER-PM
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (425.593 KB) | DOI: 10.35143/jiter-pm.v1i2.5990

Abstract

The development of the times in this era the use of gadgets in children is considered a natural thing. For some parents, gadgets are an easy solution to calm fussy children. This triggers the tendency for children to keep asking their parents for gadgets. On average, they have early childhood problems with excessive gadget use. The problems found and the solutions offered are for parents who often complain about the existence of gadgets that interfere with their children's activities, which has an impact on the development of the behavior and mindset of children who are easily influenced by gadgets and are difficult to communicate with. For this reason, the purpose of this activity is to provide knowledge to parents about the impact of using gadgets in early childhood. This activity is expected to be able to provide understanding to parents how important it is to accompany mothers (parents) when children use gadgets, understand how important time discipline is in using gadgets and understand how important it is to be smart in using gadgets. The method used for the implementation of this outreach activity is to use a participatory approach. With this participatory method, participants will be actively involved in every stage and socialization activities, which will be carried out through counseling, discussions. The result of implementing this socialization is that parents in Hamlet II of Pematang Setrak Village gain understanding and knowledge about the importance of protection in accompanying children to play gadgets and the importance of communicating with children, so as to prevent anti-social behavior from an early age in children.
Sosialisasi Perilaku Hidup Bersih dan Sehat (PHBS) dan Dampak Penggunaan Gadget pada Anak Muhammad Crystandy; Sapriadi
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 2 No. 2 (2023): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 2 Nomor 2 Oktober-Dese
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v2i2.229

Abstract

Clean and Healthy Living Behavior (PHBS) is an important concept to apply in everyday life. PHBS aims to maintain and improve individual health and prevent the spread of disease. Elementary School (SD) is the initial stage of education where children begin the learning process and develop social skills. The use of gadgets, such as smartphones, tablets and computers, has become an inseparable part of modern life. Gadgets offer access to various applications, games and multimedia content that are interesting for children, replacing healthy physical activities and important social interactions. The method used in this community service is the lecture method in the form of providing education and discussions about Health Promotion Influences Patterns Clean and Healthy Living (PHBS) and the Impact of Using Gadgets on Elementary School Children. Target Elementary School Students Grades 5 and 6 at SD 104294 Pematang Sentrak Village. Time and Place This activity will be held on April 13 2023 at SD 104294 Pematang Sentrak Village, Teluk Mengkudu District, Serdang Bedagai Regency. Implementation of Activities The form of activity carried out is by providing outreach to elementary school students about PHBS and the impact of using gadgets on elementary school children which will have a long-term positive impact on their health and welfare.
Pemberdayaan Pembuatan Soceting (Sosis Cegah Stunting) sebagai Upaya Pencegahan Dini Stunting di Kelurahan Belawan Sicanang Mayang Wulan; Tuty Hertati Purba; Sapriadi Sapriadi
Jurnal Kreativitas Pengabdian Kepada Masyarakat (PKM) Vol 7, No 12 (2024): Volume 7 No 12 (2024)
Publisher : Universitas Malahayati Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33024/jkpm.v7i12.17280

Abstract

ABSTRAK Stunting menggambarkan ketidaktercapaian tinggi badan sesuai umur yang disebabkan karena mengalami kurang gizi menahun atau kronis. Stunting pada balita perlu mendapatkan perhatian khusus karena dapat menyebabkan terhambatnya pertumbuhan fisik, perkembangan mental dan status kesehatan pada anak. Angka prevalensi stunting Sumatera Utara (Sumut) kini berada di bawah angka persentase nasional. Berdasarkan Survei Status Gizi Indonesia (SSGI), angka prevalensi Sumut pada tahun 2022 sebesar 21,1%. Tujuan mengadakan pengabdian ini untuk memberikan pelatihan kepada ibu-ibu yang memiliki balita membuat makanan sehat yang bernama Soceting dan produk yang dihasilkan dari pelatihan ini dapat dijadikan sebagai makanan/jajanan sehari-hari untuk balita dan anak-anak. Kegiatan dilaksanan pada Agustus 2024 di wilayah Kelurahan Belawan Sicanang dengan melibatkan 15 orang yaitu ibu-ibu yang memiliki balita. Berdasarkan hasil evaluasi 80% mengalami peningkatan pengetahuan dan ketrampilan sebelum dan sesudah dilakukan pelatihan mengenai stunting dan pembuatan Soceting. Kesimpulan kegiatan ini peserta telah mendapatkan manfaat dari kegiatan pengabdian yang dibuktikan dengan adanya peningkatan pengetahuan dan keterampilan ibu dalam pembuatan Soceting. Sebagai tindak lanjut kegiatan ini maka tim pengabdian kepada masyarakat akan melakukan kegiatan lanjutan untuk melakukan pelatihan kepada  Tim Kelompok Kerja (Pokja) Posyandu agar bisa melatih ibu yang memiliki balita dalam pembuatan makanan yang bergizi tinggi dalam upaya pencegahan stunting pada saat kegiatan posyandu diadakan. Kata Kunci: Sosis, Pencegahan Dini, Stunting   ABSTRACT Stunting describes the inability to achieve height according to age due to chronic or chronic malnutrition. Stunting in toddlers needs special attention because it can cause delays in physical growth, mental development, and health status in children. The stunting prevalence rate for North Sumatra (North Sumatra) is now below the national percentage rate. Based on the Indonesian Nutrition Status Survey (SSGI), the North Sumatra prevalence rate in 2022 will be 21.1%. The aim of holding this service is to provide training to mothers with toddlers to make healthy food called Soceting and the products produced from this training can be used as daily food/snacks for toddlers and children. The activity was carried out in August 2024 in the Belawan Sicanang sub-district area involving 15 people, namely mothers with toddlers. Based on the evaluation results, 80% experienced increased knowledge and skills before and after training regarding stunting and creating Soceting. This activity concludes that participants have benefited from service activities as evidenced by the increase in mothers' knowledge and skills in making Soceting. As a follow-up to this activity, the community service team will carry out follow-up activities to conduct training for the Posyandu Working Group Team (Pokja) so that they can train mothers with toddlers in making highly nutritious food to prevent stunting when Posyandu activities are held. Keywords: Sausage, Early Prevention, Stunting
Co-Authors Khairul Umam Syaliman Lidia Maysofa Muhammad Crystandy Shinta Polmidar Romiani Lase Tuty Hertati Purba Wulan, Mayang Yenni Artanti Ziliwu