Article Per Year (5 Year)
p-Index From 2021 - 2026
2.286
P-Index
This Author published in this journals
All Journal JURNAL SISTEM INFORMASI BISNIS Jurnal Teknologi Informasi dan Ilmu Komputer EMITTER International Journal of Engineering Technology Jurnal Kesehatan Jurnal Manajemen dan Administrasi Rumah Sakit Indonesia (MARSI) ILKOMNIKA: Journal of Computer Science and Applied Informatics J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan International Journal of Health and Information System (IJHIS) International Journal of Healthcare and Information Technology JENGGALA: Jurnal Riset Pengembangan dan Pelayanan Kesehatan SEJAGAT : Jurnal Pengabdian Masyarakat
Roziqin, Mochammad Choirur
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Health Professions Library & Information Science Medicine & Pharmacology Public Health Other

Published : 16 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 16 Documents
Search

 1   2 
Analisis Penerimaan SIMPUS Ditinjau dari Persepsi Pengguna di Puskesmas Mojoagung dengan Metode TAM Roziqin, Mochammad Choirur; Mudiono, Demiawan Rachmatta Putro; Amalia, Nuril
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 8 No 1: Februari 2021
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.0812907

Abstract

Puskesmas Mojoagung telah menggunakan Sistem Informasi Manajemen Puskesmas (SIMPUS) hingga saat ini, akan tetapi dalam penggunaanya masih sering terdapat keluhan dari beberapa pengguna SIMPUS yang merasa tidak puas dengan SIMPUS yang telah berjalan, hal tersebut dapat dilihat dari ketidakpercayaan pengguna terhadap data pasien yang dihasilkan SIMPUS. Penelitian ini memiliki tujuan untuk melakukan analisis tehadap penerimaan SIMPUS ditinjau dari persepsi pengguna di Puskesmas Mojoagung dengan menggunakan metode Technology Acceptance Model (TAM). Jenis penelitian yaitu analitik kuantitatif dengan pendekatan cross sectional. Jumlah sampel yaitu seluruh pengguna SIMPUS di Puskesmas Mojoagung berjumlah 33 orang. Metode pengumpulan data menggunakan kuesioner guna memperoleh informasi mengenai persepsi pengguna SIMPUS. Tahap penelitian dimulai dengan mengidentifikasi masalah yang ada pada SIMPUS di Puskesmas Mojoagung, lalu penyusunan instrument yaitu kuesioner yang selanjutnya disebarkan ke responden sebagai pengambilan data dan yang terakhir menganalisis data sehingga menjadi kesimpulan.Hasil dari penelitian ini adalah terdapat hubungan yang signifikan antara variabel Perceived Usefulness dengan  Acceptance of IT atau Penerimaan Sistem di Puskesmas Mojoagung dengan nilai signifikansi lebih kecil dari p-value (Sig.) yaitu 0.031 yang. Begitu juga dengan variabel Perceived Easy Of Use terdapat hubungan yang signifikan dengan Acceptance of IT atau Penerimaan Sistem di Puskesmas Mojoagung yang meiliki nilai signifikansi lebih kecil dari p-value (Sig.) yaitu 0.012. Sehingga dapat diartikan bahwa  penerimaan SIMPUS di Puskesmas Mojoagung memiliki hubungan yang signifikansi terhadap persepsi kemanfaatan dan kemudahan penggunanya. Abstract Mojoagung Public Health Center had been using Public Health Center Management Information System (SIMPUS) until now, but in application there are still many complaints from several SIMPUS users who are dissatisfied with the system has been running, it can be seen from the user's mistrust of the data  that exist in SIMPUS. The purpose of this research are to analize and identify the success of SIMPUS in terms of user perceptions at the Mojoagung Public Health Center by using TAM method. The type of the research is quantitative analytic with cross sectional approach. Sample were all of SIMPUS users at the Mojoagung Public Health Center there are 33 users. The methods to collect data in this research used a questionnaire to obtain information about the perception of SIMPUS users. The research started identifying problem of SIMPUS at the Mojoagung Public Health Center and then composition of instrument is questionnaire that subsequently disseminated to  respondents as data retrieval and the last analyzed data to conclusion. Result of the research are significant correlation between the variable Perceived Usefulness with Acceptance of IT at Mojoagung Public Health Center with significance values is smaller than p-value (Sig.) of 0.031, as well as variable Perceived Easy Of Use is significant correlation with Acceptance of IT  with significance value is smaller than p-value (Sig.) of 0.012. So it can be interpreted that the acceptance SIMPUS at the Mojoagung Public Health Center has a significant relationship to the perception of the benefits and convenience of its users. 
Pencegahan Stunting di Kabupaten Jember Melalui Pelatihan Pembuatan “TOLE” Pentol Lele di Desa Kemuning Lor Putra, Dony Setiawan Hendyca; Roziqin, Mochammad Choirur; Rindiani, Rindiani; Warsito, Heri; Ananda, Nadiva Dwi; Amanda, Maharani; Subandi, Lintar Buana
SEJAGAT : Jurnal Pengabdian Masyarakat Vol. 1 No. 3 (2025): February
Publisher : P3M Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/sejagat.v1i3.5770

Abstract

Stunting in Jember Regency is among the top five in East Java. Kemuning Lor Village is one of the villages that needs attention in stunting prevention. Knowledge about stunting prevention is very much needed by all layers of society. Regional potential also supports the success of stunting prevention. The majority of the residents' jobs there are as livestock farmers. This greatly supports the proposing team in implementing Sustainable Empowerment of representative Through Training in the Production and Digital Marketing of Pentol Lele as an Effort to Prevent the Increase of Stunting Cases in Jember Regency by providing socialization and training as well as direct practice in the processing of Pentol Lele. The purpose of this community service is to provide training in the production and digital marketing of Pentol Lele as an effort to prevent the increase in stunting cases in Jember Regency. The nutritional content of catfish is comparable to other fish, even though it is relatively cheaper. The results of this activity are: 1) Increased public knowledge about early stunting prevention; 2) Increased public knowledge about making catfish meatballs; 3) Increased public knowledge about marketing UMKM products through digital marketing training; 4) Enhanced public knowledge about how to manage P-IRT. This community empowerment activity is monitored and evaluated in stages to optimize stunting prevention and the sustainability of UMKM products, and to improve the economy of the Kemuning Lor Village.
Design of Nutrition Consultation Service Application at the Teaching Factory Nutrition Care Center of Politeknik Negeri Jember Roziqin, Mochammad Choirur; Selviyanti, Erna; Putra, Dony Setiawan Hendyca
International Journal of Health and Information System Vol. 2 No. 1 (2024): May
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/ijhis.v2i1.31

Abstract

A website is one of the digital healthcare service platforms that can be accessed through smartphones, facilitating the connection between healthcare providers, nutritionists, and the public for healthcare services. The Teaching Factory Nutrition Care Center is a nutrition service center managed by healthcare providers from the Department of Health at Politeknik Negeri Jember. Clients visiting the center can receive health consultations related to tracking their health, adopting a healthy diet, daily nutrition consultations, issues related to stunting in infants and toddlers, as well as consultations for pregnant mothers. The identified problem is the lack of a profile website that provides information to the public and the manual booking of consultations through staff or via WhatsApp. Result: A design proposal for a web-based application is suggested as a promotional and informational platform. It should have features including an information menu for healthy diets related to various diseases, a schedule of nutrition counselors, an online chat with nutrition counselors, and information related to articles or news about health and nutrition. The design process followed the waterfall method up to the design stage. The website design has been successfully completed.
Emerging Technologies for Secure and Privacy-Preserving Electronic Medical Records: A Systematic Review Putra, Muhammad Ifantara; Roziqin, Mochammad Choirur; Alfiansyah, Gamasiano
ILKOMNIKA Vol 7 No 3 (2025): Volume 7, Number 3, December 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/ilkomnika.v7i3.803

Abstract

The rapid digitalization of healthcare has led to widespread adoption of Electronic Medical Records (EMR), driving improvements in data management, clinical efficiency, and patient-centered care. However, this transformation also presents critical challenges related to data security, privacy protection, and intelligent data utilization. This study conducts a Systematic Literature Review (SLR) of 30 peer-reviewed journal articles published between 2022 and 2025, focusing on three key research domains: EMR systems, smart data processing, and blockchain-based security. The review identifies that EMR serves as the foundation for healthcare data standardization and interoperability, while smart data processing—through artificial intelligence and machine learning—enables predictive analytics and clinical decision support. Concurrently, blockchain technology strengthens data integrity, transparency, and access control in distributed medical environments. Despite these advances, persistent challenges remain, including scalability limitations, interoperability gaps, and ethical concerns in data governance. The study concludes that integrating blockchain with intelligent data processing represents a promising path toward developing secure, interoperable, and intelligent EMR systems capable of supporting the next generation of digital healthcare.
A Prediction System of Dengue Fever Using Monte Carlo Method Roziqin, Mochammad Choirur; Basuki, Achmad; Harsono, Tri
EMITTER International Journal of Engineering Technology Vol 4 No 1 (2016)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (246.598 KB) | DOI: 10.24003/emitter.v4i1.111

Abstract

Dengue fever is an acute disease that clinically can cause death because there is no prediction system to estimate dengue fever cases so it resulted in the growing of dengue fever cases every year. Original data gathering in Jember area that uses technique of partial data gathering has caused data missing. To make this secondary data can be processed in prediction stage there is need to conduct missing imputation by using Monte Carlo method with four different randomization method, followed by data normality test with chi-square, then continued to regression stage. We use MSE (Mean Square Error) to measure prediction error. The smallest MSE result of regression is the best regression model for prediction.
Analisis Perbandingan Kinerja Algoritma C4.5 Dan K-Nearest Neighbor (K-NN) Untuk Klasifikasi Penyakit Ispa Balita (Studi Kasus Puskesmas X) Roziqin, Mochammad Choirur; Riza Maretha Zalsabila Hidayat; Bakhtiyar Hadi Prakoso; Mudafiq Riyan Pratama
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 13 No 4: Agustus 2026
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.134

Abstract

Infeksi Saluran Pernapasan Akut (ISPA) merupakan salah satu penyebab utama morbiditas pada balita dan masih menjadi permasalahan kesehatan masyarakat, khususnya di fasilitas pelayanan kesehatan tingkat pertama. Tingginya jumlah kasus ISPA menuntut adanya sistem klasifikasi yang mampu mendukung deteksi dini secara cepat dan akurat berbasis data rekam medis. Pendekatan data mining dengan algoritma klasifikasi menjadi salah satu solusi yang dapat diterapkan untuk tujuan tersebut. Penelitian ini bertujuan untuk membandingkan performa algoritma C4.5 dan K-Nearest Neighbor (K-NN) dalam mengklasifikasikan penyakit ISPA pada balita. Data penelitian bersumber dari 618 rekam medis rawat jalan balita di Puskesmas X pada periode tahun 2023–2024, yang terdiri atas 93 kasus ISPA pneumonia dan 525 kasus ISPA non-pneumonia. Atribut yang digunakan dalam proses klasifikasi meliputi pilek, demam, sesak napas, nyeri telinga, batuk, penurunan kesadaran, mual, atau muntah, serta sakit tenggorokan. Data diolah menggunakan perangkat lunak RapidMiner melalui tahapan preprocessing, pembagian data menjadi data pelatihan, dan data pengujian dengan berbagai rasio pembagian, serta penerapan teknik sampling linear, shuffled, dan stratified sampling. Proses klasifikasi dilakukan menggunakan algoritma C4.5 dan K-NN dengan beberapa variasi nilai parameter. Evaluasi kinerja model dilakukan menggunakan confusion matrix dengan indikator akurasi, presisi, dan recall. Hasil penelitian menunjukkan adanya perbedaan performa antara algoritma C4.5 dan K-NN dalam mengklasifikasikan ISPA pada balita, yang dipengaruhi oleh karakteristik data dan parameter yang digunakan. Penelitian ini memberikan kontribusi dalam kajian komparatif algoritma klasifikasi ISPA serta mendukung pengembangan sistem deteksi dini ISPA berbasis data rekam medis di fasilitas pelayanan kesehatan.   Abstract Acute Respiratory Infection (ARI) is one of the leading causes of morbidity among toddlers and remains a public health problem, particularly in primary healthcare facilities. The high incidence of ARI cases highlights the need for a classification system capable of supporting rapid and accurate early detection based on medical record data. Data mining approaches using classification algorithms offer a potential solution to this challenge. This study aims to compare the performance of the C4.5 and K-Nearest Neighbor (K-NN) algorithms in classifying ARI among toddlers. The dataset consisted of 618 outpatient medical records of toddlers from Primary Health Center X during the 2023–2024 period, comprising 93 cases of pneumonia ARI and 525 cases of non-pneumonia ARI. The attributes used in the classification process included runny nose, fever, shortness of breath, ear pain, cough, decreased consciousness, nausea or vomiting, and sore throat. Data processing was conducted using RapidMiner through preprocessing stages, data partitioning into training and testing sets with various split ratios, and the application of linear, shuffled, and stratified sampling techniques. Classification was performed using the C4.5 and K-NN algorithms with several parameter variations. Model performance was evaluated using a confusion matrix with accuracy, precision, and recall as evaluation metrics. The results indicate performance differences between the C4.5 and K-NN algorithms in classifying ARI in toddlers, influenced by data characteristics and parameter settings. This study contributes to the comparative analysis of ARI classification algorithms and supports the development of medical record–based early detection systems for ARI in primary healthcare facilities.  
Co-Authors Achmad Basuki Alfiansyah, Gamasiano Amalia, Nuril Amanda, Maharani Ananda, Nadiva Dwi Ari Yuanita6, Aini Lolita Bakhtiyar Hadi Prakoso Farraswati, Nabilah Metilina Firdaus, Rosinta Hendyca Putra, Dony Setyawan Himma, Alifiah Faiqotul HP, Dony Setiawan Iskandar, Abdullah Jannah, Siti Elatul Melinda, Tashya Eka Moordhaya, Dhela Kalis Mudafiq Riyan Pratama Mudiono, Demiawan Rachmatta Putro Muhammad Yunus Muna, Niyalatul Noor, Muhammad Syeikhooni Prakoso, Bakhtiyar Hadi Puspitasari, Trismayanti Dwi Putra, Dony Setiawan Hendyca Putra, Muhammad Ifantara Rachmawati, Ervina Ramadhani, Riska Isyraq Rindiani, Rindiani Riza Maretha Zalsabila Hidayat Selviyanti, Erna Subandi, Lintar Buana Sustin Farlinda, Sustin Swari, Selvia Swari, Selvia Juwita Tazania, Nur Shabrina Artaf Tri Harsono Vestine, Veronika Warsito, Heri Wicaksono, Andri Permana Yuliantika, Ananda