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Jurnal Sistim Informasi dan Teknologi
ISSN : 26863154     EISSN : 26863154     DOI : 10.37034
Core Subject : Science,
The Jurnal Sistim Informasi dan Teknologi (JSISFOTEK) aims to publish manuscripts that explore information systems and technology research and thus develop computer information systems globally. We encourage manuscripts that cover the following topic areas: - Analytics, Business Intelligence, and Decision Support Systems in Computer Information Systems - Mobile Technology, Mobile Applications - Human-Computer Interaction - Information and/or Technology Management, Organizational Behavior & Culture - Data Management, Data Mining, Database Design and Development - E-Commerce Technology and Issues in computer information systems - Computer systems enterprise architecture, enterprise resource planning - Ethical and Legal Issues of IT - Health Informatics - Information Assurance and Security-Cyber Security, Cyber Forensics - IT Project Management - Knowledge Management in computer information systems - Networks and/or Telecommunications - Systems Analysis, Design, and/or Implementation - Web Programming and Development - Curriculum Issues, Instructional Issues, Capstone Courses, Specialized Curriculum Accreditation - E-Learning Technologies, Analytics, Future.
Articles 216 Documents
Klasifikasi Tweet di Twitter dengan Menggunakan Metode K-Nearest Neighbor Ahmad Fauzi Rahman
Jurnal Sistim Informasi dan Teknologi 2022, Vol. 4, No. 2
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (486.221 KB) | DOI: 10.37034/jsisfotek.v4i2.125

Abstract

Twitter is a social media and also a microblog that allows users to send and read short messages of no more than 280 characters as tweets. Tweet users are currently not limited in terms of age, information, and communication. The lack of information on tweets on Twitter results in a lot of information that is difficult to know the facts or intentions of the tweet. This can have negative impacts such as fraud, leading public opinion to negative. One of the topics that has been discussed in Indonesian society since March 2020. Coranavirus Disease 2019 (COVID-19) is a disease of the new type of coronavirus virus (SARS-CoV-2) that has taken the world by storm and the WHO has declared it a pandemic. As of March 10, 2022, 5.85 million Covid cases have been confirmed out of a total of 453 million cases in the world. This Covid-19 case can be a place for certain parties to disseminate information to the wider community. Tweet data obtained from social networks based on queries in Indonesian, this study aims to determine the pros or cons of the public or society against Covid-19. To find out that a tweet is counter can be done by looking at the existing tweets one by one, but this takes a long time and effort because of the large number of tweets. In this study using the K-Nearest Neighbor (KNN) method using as many as 1200 tweet data. Based on the research that has been done, it can be said that public sentiment in 2020 regarding COVID-19 tends to be negative, followed by positive and neutral opinions. But in 2021, as time goes by, public opinion tends to follow neutral.
Prediksi Penerimaan Mahasiswa Baru Pascasarjana dengan Menggunakan Model Simulasi Monte Carlo Julia Nurmantika
Jurnal Sistim Informasi dan Teknologi 2021, Vol. 3, No. 4
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (290.17 KB) | DOI: 10.37034/jsisfotek.v3i4.126

Abstract

Institut Agama Islam Negeri (IAIN) Batusangkar merupakan salah satu Perguruan Tinggi Keagamaan Islam Negeri (PTKIN) yang ada di Sumatera Barat. PTKIN ini memiliki program studi Pascasarjan. Program ini sangat mengalami fluktuasi peminat yang selalu naik turun dan tidak merata pada setiap jurusan. Penelitian ini bertujuan memprediksi penerimaan mahasiswa baru program Pascasarjana pada tahun yang akan datang dengan menengunakan data-data pada tahun sebelumnya. Metode simulasi yang digunakan adalah Monte Carlo. Hasil penelitian ini dapat memprediksi penerimaan mahasiswa baru pada tahun yang akan datang dan mengetahui jurusan mana yang paling rendah peminatnya. Dimana pada tahun 2018 dengan data real jumlah mahasiswa adalah 108 orang, pada data simulasi tahun 2018 adalah 107 orang dengan presentase perbandingan 82.94%. Sedangkan untuk data real tahun 2019 adalah 114 orang sama dengan data simulasi tahun 2019 yaitu 114 orang, dengan presentase perbandingan 87.21%. Maka penelitian ini sangat tepat untuk memprediksi penerimaan mahasiswa baru pada Tahun yang akan datang.
Analisis Sistem Antrian dalam Meningkatkan Efektivitas Pelayanan Menggunakan Metode Accidental Sampling Rakhmad Pribowo Hariputra; Sarjon Defit; Sumijan
Jurnal Sistim Informasi dan Teknologi 2022, Vol. 4, No. 2
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (309.672 KB) | DOI: 10.37034/jsisfotek.v4i2.127

Abstract

Queue is a process of waiting to be served if a service facility (server) is still busy. After getting service, the queue is left to get service facilities. One of the busy places of service and the existence of services is the Solok City Hospital. Services at the hospital always have a queuing process. This process starts from registration to completion, namely making payments at the cashier. Currently, mobile media has become one of the important aspects in supporting queue services. Technological advances that use mobile media have provided many advantages and conveniences in saving time and reducing the number of workers and costs in service. One method of improving services with mobile media is the Accidental Sampling method. This method is very effective in using queue time. So this research was carried out to improve hospital services so that visitors and the hospital could save time in getting services and serving. The data processed in this study was carried out in 30 days with measurements using the calculation of the probability of no visitors, the average number of visitors, the average number of visitors waiting in the queue, and the average time waiting in line. The result of this study is to add 1 waiter per counter, so the optimal time to overcome the queue at the hospital. So that this research can be used as a reference in improving services to overcome the problem of queuing visitors
Analisis PIECES terhadap E-Commerce Produk Daur Ulang pada Bank Sampah Jayapura Muhammad Taher Jufri; Jusmawati; Kartini Darma Waromi
Jurnal Sistim Informasi dan Teknologi 2022, Vol. 4, No. 2
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (464.443 KB) | DOI: 10.37034/jsisfotek.v4i2.131

Abstract

The system in the process of marketing transactions, sales and purchases of recycled products made by women is centered at the Jayapura Waste Bank. This centralized system has the effect of being less well known by the public. This system is also still weak in promotion, either through print or social media. Promotion only takes place from customers who have purchased products at this bank. In addition, there is no means of purchasing and paying online. So this research was conducted with the aim of building an online system by applying the waterfall method, data collection method, PIECES analysis method, UML design method and black box testing method. The result of this research is an online system in the form of e-Commerce Recycled Products at the Jayapura Waste Bank. These results make it easier to get reliable mobile-based marketing, sales, and purchase transaction process for recycled products. So that this system can be used as a reference in building a waste bank.
Metode Bayesian dan Multilayer Percepton dalam Mengklasifikasi Diabetes Mellitus Rasna; Moh. Rahmat Irjii Matdoan
Jurnal Sistim Informasi dan Teknologi 2022, Vol. 4, No. 2
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (251.403 KB) | DOI: 10.37034/jsisfotek.v4i2.132

Abstract

Diabetes mellitus is a chronic metabolic disorder that causes glucose regulation in the blood. Blood sugar anomalies can be defined as unwanted readings either due to normal causes or reasons unknown to the patient. Machine learning applications have been widely introduced in diabetes research and blood sugar anomaly detection. However, modeling options and strategies for classification in diabetes mellitus are needed. This study aims to classify the data as diabetic or non-diabetic and improve classification accuracy. Classification accuracy is improved by using many of the data sets as training data and test data. Classification accuracy is improved by using multiple of the data set as data. In the test, the C4.5 and RF hybrid methods, as well as the MLP and Net Bayes hybrid classification methods were developed for the classification of diabetes. In the case of C4.5 + RF it provides an accuracy of 79.31% which is higher than the individual models. Similarly, MLP + Net Bayes, provides an 81.89% higher accuracy than the individual models. In the second case the 85-15% ensemble model training and test partitions have an important role for the classification of diabetes data. The proposed MLP + Net Bayes provides 81.89% accuracy as a robust model for data classification. So that the proposed model achieves the highest accuracy of 81.89% with 6 features and reaches the highest sensitivity of 64.10% and the highest specificity of 90.90%.
Sistem Edukasi Pengenalan Rumus Matematika Menggunakan Aughmented Reality Berbasis Android Yulia; Andriani Pratiwi; Sasa Ani Arnomo
Jurnal Sistim Informasi dan Teknologi 2022, Vol. 4, No. 2
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (580.444 KB) | DOI: 10.37034/jsisfotek.v4i2.133

Abstract

The introduction of spatial media, especially in mathematics, is still often applied to learning module media such as books or whiteboard media as happened. In this case it is less effective because students are less able to absorb what is conveyed by the teacher because the media is still in the form of 2D images. This study aims to build learning augmented reality with markerless method based on android. With the application of augmented reality objects in the recognition of spatial shapes can be used as 3D images. The spatial applications that will be made are cubes, blocks, triangular prisms, triangular pyramids, rectangular pyramids, cones, spheres and regular hexagon prisms. The final result obtained is an educational application for the introduction of mathematical formulas, especially in building spaces using Android-based augmented reality, and in the form of a marker book. It is possible that this technology can be used as a tool for more innovative methods of introducing mathematical geometric formulas. By shining on the rear camera on the marker book, users can immediately see in 3D on the smartphone screen the shape of the shapes and formulas that exist in real time. This will be an interesting lesson, especially for fifth graders at SDIT At Taubah Batam.
Sistem Monitoring Stok dan Penjualan Minuman pada Vending Machine berbasis Internet of Things (IoT) Menggunakan Google Sheets dan Kodular Vicky Andria Kusuma; M. Ihsan Alfani Putra; Sena Sukmananda Suprapto
Jurnal Sistim Informasi dan Teknologi 2022, Vol. 4, No. 3
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (574.134 KB) | DOI: 10.37034/jsisfotek.v4i3.136

Abstract

Perkembangan teknologi membawa kemudahan dalam bertransaksi. Salah satunya adalah pembayaran digital dengan dompet elektronik. Untuk mengatasi masalah ini, Bank Indonesia (BI) pada tahun 2019 menciptakan standar pembayaran digital yang disebut QRIS. QRIS akan mulai banyak digunakan pada tahun 2020 saat melakukan pembayaran antara e-wallet dan bank menggunakan kode QR. Dalam QR Code ini terdapat informasi mengenai pengenal dan penunjukan transaksi. Sayangnya, hanya sedikit orang yang menggunakan QRIS API untuk sistem pembayaran otomatis. Pada penelitian ini, monitoring system pada mesin penjual minuman otomatis akan termonitoring secara realtime dengan Internet of Things. Keamanan sistem transaksi pembayaran digital dalam penelitian ini juga dipastikan seaman mungkin dengan menggunakan fitur QRIS yang selalu update setiap pembayaran dan menghindari kesalahan dalam tracking. Proses melakukan penelitian ini dimulai dengan pembuatan coding berbasis Google Sheets yang mana sistem akan berintegrasi dengan sistem perangkat keras.
Pengembangan Sistem Informasi Nilai Pajak Air Tanah dengan Menggunakan Model Scrum M. Ihsan Alfani Putera; Sri Rahayu Natasia; Nursanti Novi Arisa
Jurnal Sistim Informasi dan Teknologi 2022, Vol. 4, No. 3
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (421.082 KB) | DOI: 10.37034/jsisfotek.v4i3.138

Abstract

Dinas Lingkungan Hidup (DLH) Kota XYZ mempunyai tugas pokok yaitu melakukan penyusunan dan melaksanakan urusan pemerintahan yang berkaitan dengan lingkungan hidup, salah satu program kerja dari DLH Kota XYZ adalah penerbitan Nilai Pajak Air Tanah (NPA). Proses penerbitan NPA masih kurang efektif karena masih sering terlambat dan mempersulit pihak yang ingin membayar pajak air tanah. Selain itu, tidak ada transparasi mengenai biaya pajak yang harus dibayarkan membuat beberapa oknum dapat mempermainkan harga tersebut. Oleh karena itu, DLH Kota XYZ membutuhkan sistem informasi NPA. Pengembangan sistem informasi NPA menggunakan metode Agile Software Development dengan menggunakan model Scrum. Proses pembuatan sistem informasi NPA melalui tahapan kick off meeting untuk menentukan product backlog dan masa sprint. Sprint planning untuk menentukan fitur yang akan dikerjakan selama masa sprint. Daily scrum merupakan masa pengerjaan sistem informasi NPA. Sprint review untuk melakukan validasi terkait pekerjaan yang dilakukan development team. Sprint retrospective tahapan development team untuk memperbaiki diri agar sprint selanjutnya berjalan dengan lancar. Sistem informasi NPA berhasil dibuat dengan menggunakan metode scrum dengan 21 item pada product backlog. Setelah dilakukan evaluasi sistem informasi NPA memiliki skala tingkat keberhasilan Berhasil (B) dengan persentase 87% responden menjawab setuju dan sangat setuju. Sistem informasi NPA yang telah dikembangkan dapat mempermudah seluruh pihak (staf DLH, staf BPPDRD, pihak pembayar pajak air tanah) untuk mengurus pajak air tanah karena sistem informasi dapat diakses di mana saja selama terhubung ke internet. Dengan adanya sistem informasi NPA ini diharapkan dapat membuat transparansi pada harga pajak air tanah. Kata kunci: Dinas Lingkungan Hidup, Nilai Pajak Air Tanah, Sistem Informasi, Scrum,Sprint.
Sistem Pakar dalam Mendiagnosis Gizi Buruk pada Balita dengan Menggunakan Metode CBR Sandi Alam; Gunadi Widi Nurcahyo
Jurnal Sistim Informasi dan Teknologi 2022, Vol. 4, No. 4
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (596.198 KB) | DOI: 10.37034/jsisfotek.v4i4.140

Abstract

Limited information makes people have little knowledge of the early symptoms of Malnutrition in Toddlers. This disease must be treated quickly from an early age otherwise it will not get worse. This study aims to accurately diagnose the symptoms to provide fast, precise and accurate information in classifying the types of Malnutrition in Toddlers. This research is an expert system using Case Based Reasoning (CBR) method. The CBR method makes decisions from new cases based on solutions from previous cases. The data processed were 22 symptoms and 8 types of disease for 22 cases. The accuracy results are very good by being able to identify all types of malnutrition. So that this research can be used as a recommendation in speed to identify malnutrition in toddlers quickly.
Klasterisasi Penggunaan Trafik Internet Menggunakan K-Mean Clustering Dedy Yasriady
Jurnal Sistim Informasi dan Teknologi 2022, Vol. 4, No. 3
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (418.773 KB) | DOI: 10.37034/jsisfotek.v4i3.141

Abstract

The use of internet traffic in a government office needs to be monitored carefully to obtain efficient and effective use. The internet line that has been provided is an official facility funded by the people's budget, so it needs to be monitored carefully. Domain Name System (DNS) provides rich and interesting data, and can be extracted to reveal information that can be analyzed for various purposes such as security measures, measuring traffic usage levels, bandwidth restrictions, user profiling to other policies implemented in a network. This study aims to make a clustering of the use of internet traffic so as to provide benefits that can be used to Improve Network Services (QoS), make efficiency of bandwidth usage and create user profiles. This research was conducted based on DNS Log which is operated on a network connected to the internet. In this study, it is shown how to consolidate traffic on port 53/udp to collect DNS logs, so that in this way the activities of internet users can be recorded in a centralized server until finally used as a primary data source. The datasets used are information extraction from the DNS Server log file (dnsmasq) which was retrieved for 5 working days in the period of working hours. The total extracted datasets used are 213 records. The available data is then processed to get the target cluster by utilizing the concept of data mining using the K-Mean Clustering method. The results classify the use of internet traffic into 3 clusters, namely high, medium and low. Each cluster consists of Kla1 is 23, Kla2 is 3, and Kla3 is 160. This research can be used as a reference in grouping internet traffic so that communication lines are well and smoothly maintained.

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