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INDONESIA
JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI
Published by STMIK Global Informatika MDP
ISSN : 24074322     EISSN : 25032933     DOI : -
Core Subject : Science,
Computer Science & IT
JATISI bekerja sama dengan IndoCEISS dalam pengelolaannya. IndoCEISS merupakan wadah bagi para ilmuwan, praktisi, pendidik, dan penggemar dalam bidang komputer, elektronika, dan instrumentasi yang menaruh minat untuk memajukan bidang tersebut di Indonesia. JATISI diterbitkan 2 kali dalam setahun (September dan Maret), makalah yang diterbitkan JATISI minimal terdiri dari 60% dari luar Sumatera Selatan, dan 40% dari Sumatera Selatan. Makalah yang diterbitkan melalui tahap review oleh reviewer yang berpengalaman dan sudah memiliki makalah yang diterbitkan di jurnal internasional yang terindeks SCOPUS.
Arjuna Subject : -
Articles 1,216 Documents
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Penggunaan Fitur Saliency-SURF untuk Klasifikasi Citra Sel Darah Putih dengan Metode SVM Siska Devella; Yohannes Yohannes; Celvine Adi Putra
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 8 No 4 (2021): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v8i4.1547

Abstract

Sel darah putih merupakan sel pembentuk komponen darah yang berfungsi melawan berbagai penyakit dari dalam tubuh (sistem kekebalan tubuh). Sel darah putih dibagi menjadi lima jenis, yaitu basofil, eosinofil, neutrofil, limfosit, dan monosit. Pendeteksian jenis sel darah putih dilakukan di laboratorium yang memerlukan seorang spesialis serta usaha yang lebih, waktu, dan biaya. Solusi yang dapat dilakukan salah satunya adalah menggunakan machine learning seperti support vector machine (SVM) dengan ekstraksi fitur SURF. Penelitian ini menggunakan dataset citra sel darah putih yang sebelumnya dilakukan tahap pre-processing yang, terdiri dari crop, resize, dan saliency. Metode saliency mampu memberikan bagian yang bermakna pada sebuah citra. Metode ekstraksi fitur SURF mampu memberikan keypoint yang dapat digunakan SVM dalam mengenali jenis sel darah putih. Penggunaan region-contrast saliency dengan kernel radial basis function (RBF) mendapatkan hasil akurasi, presisi, dan recall yang baik di bandingkan dengan penggunaan kernel lain dalam penelitian ini. Berdasarkan hasil pengujian yang didapat pada penelitian ini, saliency dapat meningkatkan hasil akurasi, presisi, dan recall dari SVM untuk dataset citra sel darah putih dibandingkan dengan tanpa saliency.
Analisis Jaringan Fiber To The Home Berbasis Teknologi Gigabit Passive Optical Network Dan Penghitungan Downstream (Studi Kasus Perumahan Wirosaban Baru) ardi setiawan
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 8 No 4 (2021): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v8i4.1576

Abstract

This paper discuss about FTTH network analysis made by GPON technology and downstream estimation that use fiber optic cable for the media. The aim of analysis is do the installation engage GPON with downstream estimation which the estimation used for network advisability standard. This research make some different range, intend for find out the peformance of closest and farthest distance. According to ITU-T G.984, network feasibility standard is more than -28dB, 10Gbps for the downstream and 2.5 Gbps for upstream. Show the result that distance and power affect to power link budget score and BER.
Rancang Bangun Aplikasi Pendataan Alumni SMA Negeri 6 Palembang Menggunakan CodeIgniter Ahmad Farisi; Sudiadi Sudiadi
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 8 No 4 (2021): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v8i4.1642

Abstract

In the journey of 40 years since the establishment of SMA Negeri 6 Palembang on 1981, there is a need of a media that can manages the alumni data which has been spreaded since the first generation until now. Therefore, this study designed an application to collect alumni data at SMA Negeri 6 Palembang. This study was conducted using a practical research methodology with research heuristics in the field of software engineering which answered the problem formulation by developing software based on a research perspective carried out at the pre-research stage. Meanwhile, system development is conducted using the Kanban method in the Agile Development approach. In the pre-research stage, this study collects data by conducting interviews regarding the needs of application development. This application is developed on a web platform with the CodeIgniter framework and its custom core system class. This application has 2 actors consisting of alumni and admin. The features are alumni data management which includes data, education, and occupation. This study conducted an evaluation to the application using the webuse method. The results show a usability value of 0.79 for alumni respondents and 0.76 for admin respondents. After being interpreted, the usability values show good predicates.
Klasifikasi Jenis Ikan Laut Menggunakan Metode SVM dengan Fitur HOG dan HSV Nur Rachmat; Yohannes Yohannes; Adhytio Mahendra
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 8 No 4 (2021): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v8i4.1686

Abstract

Fish are vertebrates that live in the water. Fish have gills that function as a respiratory organ to take oxygen in the water and fins are used for swimming. In vertebrates, fish have the largest number, which is estimated at 40,000 species, while around 25,000 have been recorded. These fish are mostly scattered in marine waters of about 13,630 species, because almost 70% of the earth's surface consists of marine water and only about 1% is fresh water. This study uses a marine fish database taken from a public dataset that has 7 types of marine fish where each type of marine fish there are 7,000 images that will be carried out in the HSV color segmentation stage by taking the value so that it becomes grayscale which will proceed to the HOG process and to classify fish species sea ​​using the SVM. For testing techniques and dataset distribution using the K-Fold Cross Validation method of Leave One Out (LOO) type. Based on the results of the SVM classification test both linear and polynomial gaussian kernels using 3-Fold, 4-Fold, and 5-Fold. The highest accuracy of Black Sea Sprat fish is 94.06%. For the highest type of Gilt Head Bream fish, it was obtained at 94.31%. Furthermore, the Hourse Mackerel fish got the highest accuracy value of 94.74%. Then the type of fish Red Mullet the highest accuracy value of 94.76%. Furthermore, the Red Sea Bream fish species obtained the highest accuracy value of 94.86%, the Sea Bass fish species with the highest accuracy value of 77.86% and Striped Red Mullet fish obtained the highest accuracy value of 94.41%.
Klasifikasi Penggunaan Masker Wajah Menggunakan Squeezenet Parmonangan R. Togatorop; Ahmad Fauzi
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 9 No 1 (2022): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v9i1.642

Abstract

The Covid-19 pandemic caused by Sars-Cov2 virus has caused the damage of the human respiratory system. Therefore, the government give a recommendation to all of us for using a personal protective equipment like a face mask when everyone is doing an activity in the outdoor to prevent the spread of the Sars-Cov2. The purpose of this study is to build a classification model to be able to determine whether someone uses a mask or not. The building model used in this study is SqueezeNet for feature extraction and Naïve Bayes, Support Vector Machine for the classification process. Research data to build the model consist of 658 facial images using masks and 656 facial images without masks. The evaluation using 10-Fold Validation is the accuracy of the model using Naïve Bayes is 0.958, precision is 0.981, and recall is 0.938. Using SVM, the evaluation result is for the accuracy is 0.992, precision is 0.994, and recall is 0.990.
Perancangan Aplikasi Pembelajaran Ilmu Fara’idh Berbasis Multimedia Ira Puspita Sari
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 9 No 1 (2022): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v9i1.1113

Abstract

Ilmu Fara’idh is studying the rules of granting inheritance rights to entitled heirs. The law of inheritance has been clearly regulated by Allah SWT in the Qur'an and clarified by the Hadith of the Prophet Muhammad. Especially for Muslims, it is very important to learn Farruid knowledge, because the distribution of inheritance is actually not willing. The improper distribution of inherited knowledge can lead to long-term quarrels and the breakdown of the brotherhood. Fara’idh Science has several materials that contain mathematical value in calculating the division of inheritance. In addition to a lot of material about rules, these rules are very complicated, so that not a few students or even teachers have difficulty understanding the material. The Mutimedia learning system provides a relaxed, relaxed, active and interesting way of learning, because it not only provides material in a monotonous form, but also the traditional learning system will make students easily bored and tend to dislike the material causing inadequate understanding. Therefore, incorporating multimedia systems into learning can attract more user interest and make it easier to understand.
Implementasi End User Computing Satisfaction (EUCS) Dalam Pengukuran Kepuasan Pengguna Situs Web Badan Pertanahan Nasional Diky Candra Muria Pratama; Kristoko Dwi Hartomo
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 8 No 4 (2021): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v8i4.1263

Abstract

This study was conducted to determine the level of user satisfaction of the Ministry of Agrarian and Spatial Planning/National Land Agency (ATR/BPN) website so that website managers can get an overview of user satisfaction levels as well as future evaluation materials. Measurement of user satisfaction using the EUCS. The variables in this study were content, accuracy, format, ease of use, and timeliness. The sample in this study was collected from 168 respondents consisting of 3 Head of ATR/BPN, 17 BPN staff and 148 people who had accessed the ATR/BPN website. Collecting data using a closed questionnaire consisting of 13 questions for the five variables studied. From the data obtained, it is concluded that the overall level of user satisfaction is at an average value of 2.64 at level 3 (neutral), which means that according to the perception of general respondents, the website of the Ministry of Agrarian Affairs and Spatial Planning/National Land Agency (ATR/ BPN) does not say satisfactory but also does not disappoint. The variables that are considered quite good are accuracy and ease of use, while the content, format, and timeliness are still being considered for further improvement and development. Keywords: Website, ATR/BPN, EUCS
Strategy Analysis for Developing a Simulation Model to Increase the Value Chain of the Palm Oil Industry Supply Chain: A System Thinking Approach: A System Thinking Approach (Case Study: Riau) Nindy Permatasari
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 9 No 1 (2022): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v9i1.1314

Abstract

The Indonesian palm oil industry has grown significantly in the last forty years. Riau Province is the largest palm oil producer in Indonesia, in 2020 Riau produced 9.7 million tons of palm oil with a plantation area of ​​almost 3.4 million hectares. Indonesia has always prioritized exporting crude oil (CPO) compared to its derivatives which have a higher selling value than raw products, then Indonesia also needs to reduce the import burden of several palm oil derivative products such as biodiesel. Although Riau is the largest palm oil-producing province, this is inversely proportional to the welfare of oil palm farmers, many areas dominated by oil palm have high poverty rates. Therefore, this study aims to develop a model of the supply chain value of the palm oil industry to create scenarios in increasing supply chain value that can increase the absorption of palm oil nationally to reduce the burden of imports and increase the income and welfare of oil palm farmers. The result of this research is a model that has useful information about the factors that can be used to increase the value of the palm oil supply chain and help the government and policymakers to be able to make policies related to oil palm.
Aplikasi Absensi Mengajar Dosen Berbasis Web Dengan Menerapkan Schedule Access Control Ely Nuryani; Khasan Asrori; Irma Yunita Ruhiawati
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 9 No 1 (2022): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v9i1.1362

Abstract

The recording of lecturer attendance that has been done so far is manual and carried out on campus. However, online learning makes lecturers automatically not come to campus and take attendance online with a certain format. Online recording of lecturer absences is very ineffective and inefficient, the reason is that there are many media used by lecturers in reporting their attendance such as using messages, WhatsApp, or email. Many lecturers are late in reporting their attendance. These things make it difficult to recapitulate the presence of lecturers and for the head of study program it is difficult to monitor the lecturers who conduct lectures. To solve these problems, a teaching attendance list application was made. This application development is using the waterfall method. This application is web based using the PHP programming language and MySQL as the database. It aims so that every lecturer can access anytime and anywhere. This application is also built by implementing class schedule as an access control (schedule access control) so that lecturers can fill in attendance on time, this helps every lecturer to be orderly in doing attendance. The results of this study are the creation of applications that help facilitate lecturers in doing attendance, make it easier for staff in making lecturers' attendance and make it easier for head of study programs to monitor lecturer discipline.
Prediksi Stok Obat pada Apotik Total Life Clinic Menggunakan Model Kombinasi Artificial Neural Network dan ARIMA Nova Tampati
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 9 No 1 (2022): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v9i1.1373

Abstract

In this study using a combination method or atau hybrid model Autoregressive Integrated Moving Average (ARIMA) dan Artificial Neural Network to predict drug stock so that it can help Total Life Clinic pharmacies to plan drug stock inventory. The data used is drug stock data from 2015 to 2019 at Total Life Clinic pharmacies in the form of a monthly drug stock time series. In the analysis process to validate the prediction results using Mean Absolute Percentage Error (MAPE), while to see the performance of the ANN using Mean Squared Error (MSE). the validation results have a small error with a MAPE value of 0.041503 on the drug Tofedex with an average predictive accuracy value of 99.95%. and also obtained a high error with a MAPE value of 14,049 with an average prediction accuracy of 85.95% on Ferospat Effervescent drug.

Page 37 of 122 | Total Record : 1216

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