Article Per Year (5 Year)
p-Index From 2020 - 2025
5.701
P-Index
This Author published in this journals
All Journal International Journal of Evaluation and Research in Education (IJERE) ComEngApp : Computer Engineering and Applications Journal Jurnal Ilmu Komputer dan Informasi Computer Engineering and Applications Journal (ComEngApp) TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics JUITA : Jurnal Informatika Proceeding of the Electrical Engineering Computer Science and Informatics Computer Engineering and Applications Journal (ComEngApp) Jurnal Informatika Upgris Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Ilmiah Matrik Indonesian Journal of Information System JITK (Jurnal Ilmu Pengetahuan dan Komputer) JMM (Jurnal Masyarakat Mandiri) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Martabe : Jurnal Pengabdian Kepada Masyarakat Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Jurnal Informatika Global Jurnal Ilmiah Binary STMIK Bina Nusantara Jaya Jurnal Abdimas Mandiri Indonesian Journal of Electrical Engineering and Computer Science Reswara: Jurnal Pengabdian Kepada Masyarakat Journal of Computer Networks, Architecture and High Performance Computing Lumbung Inovasi: Jurnal Pengabdian Kepada Masyarakat Indonesian Community Journal International Journal of Advanced Science Computing and Engineering JEECS (Journal of Electrical Engineering and Computer Sciences) AnoaTIK: Jurnal Teknologi Informasi dan Komputer Jurnal INFOTEL Journal of Computer Science Application and Engineering
Ahmad Sanmorino
Universitas Indo Global Mandiri
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences Other

Published : 56 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 56 Documents
Search

 1   2   3   4   5 
Penerapan Aplikasi Laboratorium Untuk Meningkatkan Kualitas Layanan Di Puskesmas Gandus Rendra Gustriansyah; Shinta Puspasari; Ahmad Sanmorino; Nazori Suhandi; Fery Antony
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol 6, No 3 (2023): Juli 2023
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurdimas.v6i3.2425

Abstract

Abstract: The Public Health Center (Puskesmas) is a driving center for health-oriented development, empowering societies and families, and first-level health service is responsible for improving the quality of its services by delivering relevant, fast, and targeted information to achieve its vision and mission. Especially during the Covid-19 pandemic some time ago, the role of the Puskesmas laboratory as the frontline of the first-level health service center in examining Covid-19 symptoms and carrying out vaccinations is essential. Therefore, this community service activity aims to implement a web-based laboratory application at the Gandus health center to assist laboratory staff in completing, collecting, processing, and presenting data in a more structured, easy-to-read, timely, and accurate manner. The stages of the activity include interviews, discussions, patient data collection and laboratory examinations, application installation, and socialization of its use. This activity can improve the quality of laboratory services and add value to the accreditation of the Puskesmas.Keywords: application; laboratory; Public Health Center; service  Abstrak: Puskesmas sebagai pusat penggerak pembangunan berwawasan kesehatan, pemberdayaan masyarakat, keluarga dan tempat pelayanan kesehatan tingkat pertama bertanggung jawab meningkatkan mutu layanannya melalui penyampaian informasi yang relevan, cepat dan tepat sasaran kepada pasien, dalam upaya mencapai visi dan misinya. Terutama di saat pandemi Covid-19 beberapa waktu yang lalu, maka peran laboratorium di puskesmas sebagai garda terdepan pusat layanan kesehatan tingkat pertama dalam pemeriksaan gejala Covid-19 dan pelaksanaan vaksinasi menjadi penting. Oleh karena itu, kegiatan pengabdian kepada masyarakat ini bertujuan untuk menerapkan aplikasi laboratorium berbasis web di puskesmas Gandus dalam upaya untuk membantu staf laboratorium dalam melengkapi, mengumpulkan, memproses, dan mempresentasikan data secara lebih terstruktur, mudah dipahami, akurat, dan tepat waktu. Tahapan kegiatan meliputi wawancara, diskusi, pengambilan data pasien dan pemeriksaan laboratorium, instalasi aplikasi, serta sosialisasi penggunaannya. Kegiatan ini dapat berkontribusi untuk meningkatkan kualitas layanan laboratorium dan menambah nilai akreditasi puskesmas.Kata kunci: aplikasi; laboratorium; layanan; puskesmas
ANALISIS LAYANAN WEBSITE PERPUSTAKAAN SUMATERA SELATAN DALAM MENINGKATKAN KEPUASAN PENGGUNA Masroni Dedi Kiswanto; Terttiaavini Terttiaavini; Ahmad Sanmorino
Jurnal Ilmiah Matrik Vol 19 No 3 (2017): Jurnal Ilmiah Matrik
Publisher : Direktorat Riset dan Pengabdian Pada Masyarakat (DRPM) Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (638.951 KB) | DOI: 10.33557/jurnalmatrik.v19i3.389

Abstract

The purpose of this study is to analyze the factors that affect user satisfaction on the website library South Sumatra using webqual 4.0 method. Data collection in this research is done by spreading kuisioner to 40 respondent. The result of correlation test in research shows that the quality of usage and quality of information have a positive relationship while the quality of interaction has a negative relationship with user satisfaction. When viewed based on t test shows that the variable quality of usage and quality of information have a positive effect on user satisfaction library website south sumatera. While the quality of interaction variables do not have a positive effect on user satisfaction library website of South Sumatera, thus the quality of library service website of South Sumatera needs to be increased in order to increase user satisfaction.
PENINGKATAN FASILITAS LAYANAN INFORMASI MUSEUM DR. AK. GANI LEWAT PERANCANGAN BROSUR INOVATIF PADA PAMERAN BERSAMA MUSEUM SE-SUMSEL Shinta Puspasari; Rendra Gustriansyah; Dwi Asa Verano; Ahmad Sanmorino
RESWARA: Jurnal Pengabdian Kepada Masyarakat Vol 4, No 2 (2023)
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/rjpkm.v4i2.3209

Abstract

Museum dr.AK.Gani memerlukan media promosi untuk menarik masyarakat berkunjung ke museum fisik yang menyimpan koleksi bersejarah peninggalan sang pahlawan nasional. Pada pameran bersama museum di Sumatera Selatan, museum dr.AK.Gani turut berpartisipasi dengan memamerkan sejumlah koleksi namun tidak cukup informatif dikarenakan terbatasnya ruang pamer dan petugas yang dapat mempromosikan keberadaan museum. Kegiatan pengabdian kepada masyarakat ini bertujuan merancang brosur inovatif yang memiliki luaran berupa media promosi dalam bentuk brosur yang dapat disebarluaskan kepada pengunjung pameran secara cepat. Brosur dirancang berbasis teknologi Google Map yang memudahkan pengunjung menuju lokasi museum dipandu oleh aplikasi Google Map. Informasi yang dimuat dalam brosur mendeskripsikan museum dan mengilustrasikan koleksi serta bangunan museum dr.AK.Gani sehingga diharapkan dapat menarik minat kunjungan wisata sejarah masyarakat. Hasil evaluasi kegiatan menunjukkan bahwa brosur yang dibuat mempu memberikan informasi yang menarik minat masyarakat berkunjung ke museum dr.AK.Gani. Rata-rata pengunjung setuju bahwa brosur yang dirancang efektif memberikan informasi tentang museum dr.AK.Gani dan meningkatkan minat untuk datang berwisata ke museum fisik. Mitra PkM menyatakan bahwa brosur inovatif sudah sesuai untuk kebutuhan fasilitas layanan informasi museum dr.AK.Gani. 
Deteksi Intrusi Siber pada Sistem Pembelajaran Elektronik berbasis Machine Learning Amirah; Ahmad Sanmorino
Jurnal Ilmiah Informatika Global Vol. 14 No. 2
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v14i2.3227

Abstract

This study aims to develop a mechanism for detecting machine learning-based cyber intrusions in electronic learning systems. In today's digital era, e-learning systems have become an integral part of education and training, providing global accessibility and more interactive learning efficiency. However, security and privacy challenges are becoming critical issues due to the increasingly real threat of cyber intrusion. Attackers try to take advantage of vulnerabilities and weaknesses in e-learning systems to steal sensitive data or disrupt operations. To overcome this problem, this study focuses on the use of artificial intelligence technologies, especially machine learning, to proactively detect and respond to intrusive threats. Through e-learning security analysis, identification of weaknesses, and potential loopholes for cyber-attacks, the most suitable machine learning algorithms are selected to detect patterns and signs of intrusion attacks on network data. The evaluation results show that several machine learning algorithms, such as SVM and Decision Tree, have good performance in recognizing cyber intrusions with high accuracy, precision, recall, F1-score, and ROC-AUC. By implementing machine learning-based intrusion detection technology, it is expected that electronic learning systems can be more proactive in identifying and responding to intrusion threats before significant damage occurs. This research has significant benefits in increasing security and privacy in the use of electronic learning systems. In addition, this study is expected to be a reference for further research in the world of cyber security and the application of artificial intelligence technology in supporting digital security.
Forecasting a museum visit post pandemic using exponential smoothing model Shinta Puspasari; Rendra Gustriansyah; Ahmad Sanmorino
JURNAL INFOTEL Vol 15 No 4 (2023): November 2023
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v15i4.949

Abstract

This paper aims to evaluate the performance of a machine learning model for predicting the number of visitors to a museum after the COVID-19 pandemic. The easing of policies that began to be implemented by the Palembang city government after the end of the pandemic at the end of 2022 became a momentum in predicting the number of visits to the SMBII museum. During the pandemic the museum experienced a very drastic decline due to closures and restrictions on activities at the museum and had an impact on achieving the museum's targets in the fields of tourism and education. Museum managers need to establish a strategy as an effort to achieve the targets set during the post-pandemic period. This study predicts the number of visits to the SMBII museum in post-pandemic years by applying the double exponential smoothing (ESM) model. The dataset used is SMBII museum visit data which is divided into three categories of visitors, namely students, local and foreign. The evaluation results show that the double ESM model has the best performance with MSE = 3.8 and a = 0.9. The phenomena that occurred in the student visitor category affected ESM's performance in predicting visits where MSE in the post-pandemic period had a 200% higher value than before the pandemic which was influenced by the implementation of post-pandemic policies in museums. With the forecasting results in this study, it is hoped that it can become information in developing strategies and improving the performance of post-pandemic museums
Improving Information Security with Machine Learning Ahmad Sanmorino; Rendra Gustriansyah; Shinta Puspasari; Juhaini Alie
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 1 (2024): Article Research Volume 6 Issue 1, January 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i1.3317

Abstract

The study Improving Information Security with Machine Learning explores the fusion of machine learning methodologies within information security, aiming to fortify conventional protocols against evolving cyber threats. By conducting a comprehensive literature review and empirical analysis, this scholarly endeavor highlights the efficacy of machine learning in anomaly detection, threat identification, and predictive analytics within security frameworks. Through practical demonstrations, such as z-score-based anomaly detection in network traffic data and NLP-based email security systems, the study illustrates the practical applications of machine learning techniques. Additionally, it delves into the mathematical underpinnings of predictive analytics and the architecture of neural networks for malware detection. However, while showcasing the transformative potential of machine learning, the study also confronts significant challenges. Ethical, legal, and privacy considerations emerge prominently, emphasizing the need for regulations addressing algorithmic biases, ethical dilemmas, and data protection. Moreover, the study emphasizes the practical challenges of scalability, interpretability, continual adaptation to evolving threats, and the harmonious interaction between human expertise and machine intelligence. By offering practical recommendations and future research directions, this scholarly exploration aims to empower researchers, practitioners, and policymakers in navigating the complex intersection of machine learning and information security, thereby fostering innovation and comprehension in this evolving domain.
Toddlers’ Nutritional Status Prediction Using the Multinomial Logistics Regression Method Rendra Gustriansyah; Nazori Suhandi; Shinta Puspasari; Ahmad Sanmorino; Dewi Sartika
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 1 (2024): Article Research Volume 6 Issue 1, January 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i1.3372

Abstract

Malnutrition is one of the foremost health problems experienced by children under five in many countries, especially in low and middle-income countries. Meanwhile, the target of Sustainable Development Goals (SDGs) 2.2 is that all forms of malnutrition must end by 2025. Therefore, this study aims to predict the toddlers’ nutritional status (malnutrition, undernutrition, overnutrition, and normal nutrition) based on age, body mass index (BMI), weight, and length using the Multinomial Logistic Regression (MLR) classification method. The dataset consists of two hundred toddlers obtained from the Kaggle site. Following pre-processing, the dataset is divided, with 80 percent of the data for training and the remaining 20 percent for testing. The model was trained using 10-fold cross-validation (CV). In Addition, the MLR model performance was evaluated using the confusion matrix (CM), the area under the curve (AUC), and the Kappa coefficient (KC). The evaluation results using CM show that the accuracy, sensitivity, and specificity values are 0.9412, 0.9375, and 0.9790, respectively. AUC and KC also show excellent results. It indicates that the MLR method is an esteemed and recommended method for predicting the nutritional status of toddlers. Therefore, this research can contribute to providing early information so that the Government can immediately determine the necessary treatment.
Pendampingan Pemanfaatan Mikroskop Digital dalam Konservasi Koleksi Kain Songket Museum Sultan Mahmud Badaruddin II Shinta Puspasari; Rendra Gustriansyah; Ahmad Sanmorino; Ditho Hersilava; Ade Fathurahman
I-Com: Indonesian Community Journal Vol 4 No 2 (2024): I-Com: Indonesian Community Journal (Juni 2024)
Publisher : Fakultas Sains Dan Teknologi, Universitas Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/icom.v4i2.4234

Abstract

Conservation of Palembang Songket woven cloth is carried out at SMBII Museum. The thread fibers woven into Songket cloth are small in size and require a microscope to see the thread fibers clearly before determining the appropriate conservation mechanism for fabric damage. Community service activities are carried out by assisting in the use of digital microscopes in the conservation of Songket cloth collections. A digital microscope is used to magnify the appearance of the gold thread fibers of the Songket cloth, whether there is damage or not. The activity began with setting up a digital microscope device to be used in the study of Songket cloth conservation and continued with assistance in using the microscope by participants. The results of the assistance show that users can easily use digital microscope devices to display Songket fabric fibers that are damaged and require conservation. Hopefully, this community service will make it easier for the SMBII museum to carry out conservation and learning tasks at the museum and have an impact on ensuring the resilience of the Palembang Songket cloth cultural heritage in the digital era.
Emerging Trends in Cybersecurity for Health Technologies Ahmad Sanmorino
Jurnal Ilmiah Informatika Global Vol. 14 No. 3
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v14i3.3530

Abstract

The paper delves into the intricate relationship between technological advancements in healthcare and the pressing need for robust cybersecurity measures. It explores the escalating vulnerability of sensitive medical data due to the sector's digital transformation and the increased susceptibility to cyber threats. The interconnectedness of healthcare systems, from wearable devices to complex electronic health record systems, exposes healthcare organizations to relentless cyberattacks. Within this context, the article meticulously examines emerging trends and innovative solutions aimed at fortifying cybersecurity infrastructure and safeguarding sensitive medical data. It scrutinizes ten cybersecurity risks prevalent within the healthcare domain, highlighting the multifaceted nature of data security challenges faced by healthcare entities. Furthermore, the paper meticulously dissects ten AI-driven security mechanisms, ranging from behavioral analytics to AI-powered compliance management, showcasing their pivotal role in ensuring data integrity and confidentiality. Collaboration emerges as a pivotal strategy, with the article outlining ten collaborative initiatives that underscore the significance of joint efforts among healthcare institutions, technology providers, and cybersecurity experts. Collectively, these insights illuminate the imperative for proactive and adaptive cybersecurity strategies within the evolving landscape of healthcare technology integration.
Analisis Kualitas Website Disdukcapil Banyuasin Terhadap Kepuasan Pengguna Suharmanto, Arvia Fildzah; Sanmorino, Ahmad; Kholik, Abdul
Jurnal Ilmiah Binary STMIK Bina Nusantara Jaya Lubuklinggau Vol 5 No 2 (2023): Jurnal Ilmiah Binary STMIK Bina Nusantara Jaya
Publisher : STMIK Bina Nusantara Jaya Lubuk Linggau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52303/jb.v5i2.125

Abstract

Penelitian ini bertujuan untuk menganalisis kualitas website Dinas Kependudukan dan Pencatatan Sipil Kabupaten Banyuasin agar pihak pengelola atau penyedian layanan website dapat mengetahui sejauh mana kualitas website bisa memenuhi keinginan dari seluruh penggunanya. Sampel yang digunakan sesuai rumus slovin dengan perkiraan tingkat kesalahan 5% adalah 400 responden. Pengumpulan data dengan penyebaran kuesioner dalam bentuk google form. Metode yang digunakan yaitu metode webqual 4.0 yang terdiri dari 3 variabel yaitu X1 (kegunaan), X2 (kualitas informasi) dan X3 (kualitas interaksi). Untuk mengukur pengaruh antara variabel bebas terhadap variabel terikat menggunakan uji hipotesis yaitu uji F, uji T dan uji R. Hasil penelitian ini menyimpulkan bahwa variabel X1 memiliki berpengaruh positif dan signifikan terhadap kepuasan pengguna dengan nilai thitung 6,404>ttabel 1,960 dan signifikansi 0,000<0,05. Variabel X2 memiliki berpengaruh positif dan signifikan terhadap kepuasan pengguna dengan nilai thitung 2,688 >ttabel 1,960 dan signifikansi 0,007<0,05, sedangkan variabel X3 memiliki berpengaruh positif dan signifikan terhadap kepuasan pengguna dengan nilai thitung 3,1616 >ttabel 1,960 dan signifikansi 0,000<0,05. Hasil juga moderat dengan uji R sebesar 46,9%.
Co-Authors Ade Fathurahman Agustina Heryati Aldri Frinaldi Amalia, Rianti Amirah Amirah Anwar, Yatama Zahra Ariati, Nining Aulia, Beta DEWI SARTIKA Dhamayanti Dhamayanti Dhamayanti Dhamayanti Dhamayanti Dhamayanti, Dhamayanti Ditho Hersilava Dwi Asa Verano Ermatita - Faradillah Faradillah Faradillah Fery Antony Hartini Hartini Haversyalapa, Ditho Heryati, Agustina Imelda Saluza, Imelda Isabella Isabella Isabella, Isabella Juhaini Alie Juliansyah, Muhammad Agung Karimah, Fitrah Kartini, Aprianita Kesuma, Hendra Di Marcellina, Dona Marnisah, Luis Masroni Dedi Kiswanto Maulana, Muhammad Mico Megat Norulazmi Megat Mohamed Noor Muhammad Farhan Nazori Suhandi Nining Ariati Purbasari, Nadira Putri Rendra Gustriansyah Ristina, Andan Rudi Heriansyah Sartika, Dewi Setiadi Yazid, Setiadi Setiawan, Ichan Shinta Puspasari Shinta Puspasari Suharmanto, Arvia Fildzah Sunardi, Hastha Suryati Suryati Terttiaavini Terttiaavini, Terttiaavini Terttiaavini, Terttiaavini Terttiavini Verano, Dwi Asa Wiyanto, Ari Wulanda, Sanza Vittria Yovita, Sukma Yulianti, Evi