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All Journal TEKNIK INFORMATIKA Jurnal Ilmiah Informatika Komputer Jurnal sistem informasi, Teknologi informasi dan komputer Format : Jurnal Imiah Teknik Informatika JIKO (Jurnal Informatika dan Komputer) JURNAL MEDIA INFORMATIKA BUDIDARMA Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Pengabdian Masyarakat AbdiMas JURNAL TEKNOLOGI DAN OPEN SOURCE CCIT (Creative Communication and Innovative Technology) Journal Indonesian of Health Information Management Journal (INOHIM) Jurnal Informatika dan Rekayasa Perangkat Lunak ICIT (Innovative Creative and Information Technology) Journal JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) JUKI : Jurnal Komputer dan Informatika Jurnal Abdidas Jurnal Health Sains Journal of Intelligent Computing and Health Informatics (JICHI) International Journal Of Science, Technology & Management (IJSTM) Natural Sciences Engineering and Technology Journal Jurnal Locus Penelitian dan Pengabdian Literacy : International Scientific Journals of Social, Education, Humanities Universal Raharja Community (URNITY Journal) Journal of Hospital Management Jurnal Pendidikan Indonesia (Japendi)

Noviandi Noviandi

Teknik Informatika, Fakultas Ilmu Komputer, Universitas Esa Unggul

Author-ID : 3842901

Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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Optimization Fuzzy Inference System based Particle Swarm Optimization for Onset Prediction of the Rainy Season Noviandi, Noviandi; Ilham, Ahmad
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 5, No. 1, February 2020
Publisher : Universitas Muhammadiyah Malang

Rainfall which is occurred in an area explain the Onset Rainy Season (ORS). ORS is a characteristic of the rainy season which is important to know, but the characteristics of the rain itself is very difficult to predict. We use the method of Fuzzy Inference System (FIS) to predict ORS. Unfortunately, FIS is weak to determine parameters so that influences the working FIS method. In this study, we use PSO to optimize parameter of the FIS method to increase perform of the FIS method for onset prediction of the rainy season with the predictor Sea Surface Temperature Nino 3.4 and Index Ocean Dipole. We used coefficient correlation to determine the relationship between two variables as predictors and RMSE as evaluate to all methods. The experiment result has shown that the work of FIS-PSO after optimizing produced the good work with the coefficient correlation = 0.57 and RMSE = 2.96 that is the smallest value that is better performance if compared with other methods. It can be concluded that the method proposed can increase the onset prediction of the rainy season.

PEMANFAATAN APLIKASI ZOOM DAN GOOGLE MEET SEBAGAI MEDIA DAKWAH PADA MASA PANDEMI COVID-19 Noviandi, Noviandi; Nisa, Puspita Chairun; Sari, Linda Purnama
Jurnal Pengabdian Masyarakat AbdiMas Vol 7, No 03 (2021): Jurnal Pengabdian Masyarakat Abdimas
Publisher : Universitas Esa Unggul

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47007/abd.v7i03.4126

Covid -19 merupakan penyakit yang sangat berbahaya, karena penyakit ini dapat berpindah dalam jarak kurang dari satu meter.Â Di Indonesia sendiri, covid-19 selalu meningkat. Peningkatan tersebut membuat pemerintah melakukan beberapa kebijakan salah satunya adalah Pembatasan Sosial Berskala Besar (PSBB). Salah satu dampak dari kebijakan PSBB adalah membatasi kegiatan dakwah yang dilakukan secara konvensional. Pelaksanaan pengabdian masyarakat ini dilakukan secara daring melalui aplikasi zoom. Peserta diajarkan pemahaman daring lalu menerangkan bagaimana menggunakan aplikasi Zoom meet dan Google meet. diharapkan agar para peserta yang mengikuti bisa menambah wawasan tentang manfaat aplikasi Zoom meet dan Google meet saat berdakwah dan melakukan aktivitas majelis secara online saat pandemi Covid-19.Â Kata kunci: Covid-19, Pembatasan Sosial Berskala Besar (PSBB), Zoom meet, Google meet

Tinjauan Sistem Informasi Ena Di Puskesmas Kecamatan Penjaringan Jakarta Utara Haifa Pandhita Ayu; Noviandi Noviandi; Adi Widodo; Daniel Happy Putra
Jurnal Health Sains Vol. 3 No. 3 (2022): Jurnal Health Sains
Publisher : Syntax Corporation Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/jhs.v3i3.444

The Penjaringan sub-district health center, North Jakarta, has implemented the ENA information system for all forms of data recording, medical records, and other health services. Problems that have often occurred in the ENA information system since 2017 are the system update process and the validation process. This study aimed to determine the application or function and Standard Operating Procedures of the ENA information system. The method used is qualitative with the type of descriptive research. Informants in this study were puskesmas officers with more than two years of service. The results showed that the ENA information system was good enough because it complied with the established Standard Operating Procedures. Some services on the ENA information system, such as the validation of the BPJS (P-Care) system, are not optimal because the validation process depends on the internet network provided. Internal training on the ENA information system needs to be carried out due to changes or developments in system features. Antivirus and network security need to be improved again for data security and reducing the risk of software damage that affects computer performance

Evaluation of Optima Regional Health Information System with HOT-Fit on Technology Aspects Approach in Johar Baru Health Center Jakarta Ahmad Fauzan; Noviandi Noviandi
Journal of Intelligent Computing and Health Informatics (JICHI) Vol 1, No 1 (2020): March
Publisher : Universitas Muhammadiyah Semarang Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jichi.v1i1.5397

The Information technology development has affected various sectors, including health services. The several technologies have been used to improve health facilities performance. At Johar Baru Health center, central Jakarta, SIKDA (Sisitem Informasi Kesehatan Daerah) Optima application has been applied. Meanwhile, the implementation of SIKDA Optima is not as good as expected. There still many disruptions during the use of this application such a delay service and delivery of report was not in a real time, therefore an evaluation is needed. The purpose of this study was to determine the quality of system, information, and service which is affecting the satisfaction of SIKDA Optima users at Johar Baru Health Center, Central Jakarta. This study used a quantitative approach with observational survey and cross-sectional design. The population in this study was 98 persons and the sample were 79 users of SIKDA Optima, consist of 19 doctors, 22 nurses, 17 midwives, 9 pharmacies, 2 medical recorder and 10 administration staffs. Data analysis was performed using multiple linear regression. The results of multiple linear regression test showed that the user satisfaction of SIKDA Optima = -3.832 + 0.549 (KS) + 0.757 (KI) + 0.359 (KL) with a p-value of KS 0.001<0.05), p-value KI 0,000 <0,05), and the p-value of KL is 0.009 <0.05. The conclusion of this study is the quality of system, information, and services that is used at Johar Baru Health Center have a significant influence on the satisfaction of SIKDA Optima users.

OPTIMIZING BRAND AWARENESS BY USING FACEBOOK ADS AT BINA POTENSI ANAK INDONESIAN SCHOOLS Muhammad Hilmyansyah; Noviandi Noviandi
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol 4 No 1 (2021): Jurnal Teknologi dan Open Source, June 2021
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v4i1.1367

The development of social media today makes changes to marketing methods. Marketing using social media is a cheap solution and does not pose a high risk for the users. With social media, it can be used a way to increase brand awareness. An effective digital marketing media is needed to increase brand awareness, one of them is Facebook ads. In the education sector, facebook ads are still rarely used, generally schools use conventional marketing methods, this method has weaknesses, such as: limited scope and inefficient marketing costs. Marketing used conventional methods is considered ineffective, it occur at out by BPAI School in 2019 only 10% of potential consumers contacted the school. The small number of marketing effectiveness is the influence of the low brand awareness of the BPAI School, therefore innovation is needed in marketing to increase brand awareness, it is by using facebook ads. The results of the implementation of facebook ads at BPAI School for 5 days concluded that facebook ads had significant effect in increasing brand awareness

Implementasi Algoritma Decision Tree C4.5 Untuk Prediksi Penyakit Diabetes Noviandi Noviandi
Indonesian of Health Information Management Journal (INOHIM) Vol 6, No 1 (2018): INOHIM
Publisher : Lembaga Penerbitan Universitas Esa Unggul

AbstractDiabetes mellitus (DM) is a chronic disease that causes death. Uncontrolled, identified and unpredictable increases in blood sugar quickly lead to complications. In data mining, many have used approaches to predict the disease, one of which is the use of algortima decison tree C4.5. The motive of this study is to build a predictive model of the likelihood of diabetic patients with the C4.5 algorithm and see the akurasi of the resulting model. Prediction models are made using Pima Indians Diabetes Databases (PPID) data sourced from the UCI Machine Learning Repository. Prediction model with C4.5 decision tree algorithm has 70.32% akurasi by producing 9 rules, with the number of classes “not” as many as 4 rules and classes “yes” as many as 5 rule to predict DM disease.Keyword: diabetes, decision tree C4.5, Accuracy AbstrakDiabetes Melitus (DM) adalah salah satu penyakit penyakit kronis yang menyebabkan kematian. Peningkatan gula darah yang tidak terkontrol, teridentifikasi dan tidak terprediksi dengan cepat mengakibatkan terjadinya komplikasi. Dalam data mining telah banyak menggunakan pendekatan-pendekatan dalam melakukan prediksi penyakit salah satu nya penggunaan algortima decison tree C4.5. Motif dari penelitian ini adalah membangun sebuah model prediksi kemungkinan diabetes pasien dengan algoritma C4.5 dan melihat akurasi dari model yang dihasilkan. Model prediksi dibuat dengan menggunakan data Pima Indians Diabetes Databases (PPID) yang bersumber dari UCI Machine Learning Repository. Model prediksi dengan algoritma decision tree C4.5 memiliki akurasi 70.32% dengan menghasilkan 9 rule, dengan jumlah class tidak sebanyak 4 rule dan 5 rule class iya untuk melakukan prediksi penyakit DM. Kata kunci: Diabetes, C4.5 decision tree, Akurasi

Clustering Villages Based on Distance and Accessibility to Health Facilities Using the K-Means Method Noviandi Noviandi; Stefanny Amalia Noviantika; Bambang Irawan
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol 5 No 1 (2022): Jurnal Teknologi dan Open Source, June 2022
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v5i1.2184

There are 47 very underdeveloped and 63 underdeveloped villages in Melawi regency. More than 50% of the villages have no health facilities, and the percentage of road lengths with good condition is only 20.53% in Melawi County. One of the most important factors influencing health problems is the physical aspect such as the availability of health facilities. In addition, the distance and easy access to health facilities also influence how quickly people are treated and vaccinated during the Covid 19 pandemic. The objective of this study is to determine the degree of accessibility of health facilities in villages by forming village clusters that are likely to be important to the government in ensuring treatment and distribution of Covid 19 vaccine. The clustering method used is the K-Means method with Euclidean spacing to calculate the spacing of the data and the Elbow method to determine the optimal number of clusters on the data, and the Silhouette coefficient evaluation method to test the degree of accuracy of the model created with K-Means. The results of the Elbow method showed the optimal number of clusters to be 2 clusters. Based on the results of the K-Means algorithm process, the clusters that have a larger average distance and access is rated as difficult are cluster 1 with 92 villages in it, and cluster 1 has a smaller average distance and access is relatively easy with 77 villages in it. The result of the evaluation with the silhouette coefficient is 0.299.

Implementasi Agile Method untuk Pengembangan Sistem Pembatasan Pengunjung Wisata Berbasis Mobile Noviandi Noviandi; Nanda Aula Rumana
Journal of Information System Research (JOSH) Vol 4 No 1 (2022): October 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

The high number of Covid-19 patients in 2021 has an impact on the tourism sector. It changes the trend towards tourism in Indonesia. Apart from the health protocols that must be carried out, the role of technology is also important in overcoming the growth of Covid-19. The technology provided is in the form of an application to purchase tourist entrance tickets, but it does not yet provide the menu for tourist restriction and zone identification. The purpose of this research is to develop an information system that can limit the number of tourists and find out the red zone (the highest Covid-19 area) before making a tourist visit. The method used for the development of a tourist visitor information system is the Agile model. This model is carried out systematically and starts from collecting information with interview and observation techniques, needs analysis, system design, design, and the implementation using an object-oriented diagram approach. This model has complex capabilities, is reliable, and produces applications in a short time. The testing of the tourist restriction system uses black box testing. The goal is to find out the error when the system is used by end users. Test results on all features in the system according to the needs of the end user. The application built can be used in line with the government rules or policies. With this application, the tourists are expected to be able to have vacation without the risk of spreading Covid-19.

Sistem Pakar Diagnosis Tingkat Stres Berbasis Android dengan Metode Certainty Factor Noviandi Noviandi; Diah Aryani; Arief Ichwani
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 4 (2022): Oktober 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i4.4727

The number of cases of Corona Virus Diesis (COVID-19) according to the World Health Organization (WHO) is 93,217,287 people. In the case of Covid-19, one of which is making changes in behavior is education. The teaching and learning process has changed into bold learning in the education sector. Students who continuously carry out the learning process at home can increase stress because previous research data stated that the level of severe anxiety experienced by students was one of them caused by daring learning, which reached 95.59%, and students reached 97.69%. This research aims to develop an expert system for dealing with stress in high school students. The method used for making the expert system is the Certainty Factor. Based on functionality testing using black box testing, it shows that all components produce the expected and appropriate results, then for accuracy testing using a confusion matrix through a comparison between manual calculations and system calculations, so that the accuracy test results are 100%. Therefore, the expert system for diagnosing stress diseases in high school students can be said to be feasible.

IMPLEMENTASI KERNEL DENSITY PADA ANALISA DAERAH RAWAN KECELAKAAN LALU LINTAS PROVINSI DKI JAKARTA Respati Irfan Alrasyid Sartavie; Noviandi Noviandi; Arif Arfan Dwi Cahyo; Saipudin Anwar
Jurnal Ilmiah Informatika Komputer Vol 27, No 2 (2022)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/ik.2022.v27i2.6600

Provinsi DKI Jakarta setiap tahunnya memiliki tingkat kecelakaan lalu lintas yang cukup tinggi. Berdasarkan kecelakaan periode januari 2019 hingga Desember 2021 mencapai 9524 baris data. Penelitian ini menyajikan informasi daerah rawan kecelakaan menggunakan metode Kernel Density. Atribut yang digunakan untuk penelitian ini yaitu tanggal kejadian, instansi yang menangani, identitas korban kecelakaan, sifat kecelakaan, dan kendaraan yang terlibat kecelakaan. Tahapan penelitian sesuai dengan ruang lingkup yang akan dilakukan yaitu: Data Preprocessing Kernel Density Estimation (KDE), Incremental Spatial Autocorrelation, dan Hotspot Analysis. Proses penelitian dari pengumpulan data kecelakaan, data pre processing, menjalankan Kernel Density Estimation, mendapatkan visualisasi daeran rawan kecelakaan, menjalankan Spation Join, menjalankan Hotspot Analysis, mendapatkan Hotspot Kecelakaan, mendapatkan urutan Hotspot Kecelakaan. Berdasarkan hasil implementasi Kernel Density pada daerah rawan kecelakaan yang dilakukan, penulis berhasil mendapatkan daerah rawan kecelakaan tertinggi di Provinsi DKI Jakarta yaitu 33,33% ruas jalan Jatinegara Timur merupakan daerah rawan kecelakaan, selanjutnya pada Jalan Jendral Basuki Rahmat 25,93% pada ruas jalan merupakan daerah rawan kecelakaan, dan pada 20% ruas jalan DI Panjaitan adalah daerah rawan kecelakaan.

Co-Authors Adi Widodo Adi Widodo Ahmad Fauzan Ahmad nur badri Akbar, Habibullah Anggoro, Sofyan Wahyu Arif Arfan Dwi Cahyo Arif Prayogi Bagus Hidayah Bambang Irawan Bany, Ervan Jefferson Daniel Happy Putra Diah Aryani, Diah Ervan Jefferson Bany Farisa Anastya Fatonah, Nenden Siti Franata, Ray Fadly Haifa Pandhita Ayu Hani Dewi Ariessanti Hilmyansyah, Muhammad Ichwani, Arief Ilham, Ahmad Irawan, Bambang Jemmy, Jemmy Kareena Futri Ramadhani Linda Purnama Sari, Linda Purnama Linda Purnamasari Maharami, Iradah Mariyana Widiastuti Maulana Fajar Lazuardi Muhammad Caisar Ramadhan Muhammad Hadi Arfian Muhammad Hilmyansyah Muhammad Roland Nanda Aula Rumana Nicholas Febrian Nisa, Puspita Chairun Noviantika, Stefanny Amalia Nugroho, Septyanto Harry Putra, Syahrizal Dwi Rahmat Hidayat Ray Fadly Franata Renaldy Hiunarto Respati Irfan Alrasyid Sartavie Riya Widayanti Riya Widiyanti S Syahrudin Saipudin Anwar Selvana Arma Putra Septyanto Harry Nugroho Stefanny Amalia Noviantika Suharti, Dwi Sloria Tontowi Amsia Widjaja, Lily Youna Cathrine Bachtiar Youna Cathrine Bachtiar Yustina Sri Ekwandari

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