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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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Rancang Bangun Aplikasi Pembelajaran Doa Islami Dengan Pendekatan Multimedia Interaktif Menggunakan MDLC Athaya Fawwaz, Raihan; Azrino Gustalika, Muhamad
JATISI Vol 11 No 3 (2024): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v11i3.8133

Abstract

SD Islam Terpadu Harapan Bunda is an elementary school established by Yayasan Permata Hati Purwokerto, focusing on academic knowledge along with Islamic religious values. Currently, the teaching and learning activities at SDIT Harapan Bunda primarily rely on conventional teaching methods, especially for lessons on Islamic prayers. Observations conducted at the school indicate the need for an interactive and innovative learning application to help and facilitate students in learning daily prayers, both within and outside the school environment. The aim of this research is to develop an educational application based on interactive and innovative multimedia for Android devices to assist in teaching Islamic prayers at SDIT Harapan Bunda Purwokerto. The Multimedia Development Life Cycle is used as the method in the application development process. The application functionality is tested using Black Box testing, and the System Usability Scale (SUS) method is employed to measure the application's usability. Black Box testing results show that the application functions optimally. Additionally, the SUS test results indicate a score of 80.7, categorized as acceptable, grade A-, and rated as good
Perancangan Aplikasi Website untuk Evaluasi Kinerja Karyawan di PT. Digital Aplikasi Solusi KISNANDA, M FARHAN; Geni, Bias Yulisa
JATISI Vol 11 No 3 (2024): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v11i3.8161

Abstract

The rapid development of technology has prompted companies to enhance efficiency and effectiveness in employee performance evaluation. PT. Digital Aplikasi Solusi currently uses a manual method with Google Forms, leading to inconsistencies and difficulties in data analysis. This research aims to design a web application for employee performance evaluation using the Waterfall method, one of the models in the Software Development Life Cycle (SDLC). The application is built using PHP version 8 and the CodeIgniter 3 framework. Data collection methods included interviews, observations, and literature studies. The research stages encompass requirements analysis to application maintenance. The results of the conducted research indicate that the developed application is capable of improving efficiency and transparency in the employee performance evaluation process, facilitating the evaluation process, and providing accurate information for human resource management to support better decision-making in employee management.
Rancang Bangun Sistem Informasi Penerimaan Peserta Didik Baru (PPDB) di Dinas Pendidikan Provinsi Jambi Fidela, Talitha Marsha; Saputra, Hendra; Asyifa, Nurdillah Laina; Pratama, Rizky; Asyrovi, Sabil; Oktavia, Rima; Afifah, Seftia Nur; Munawaroh, Kholifah Nur; Putri, Utami Mizani
JATISI Vol 11 No 3 (2024): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v11i3.8163

Abstract

In a modern era characterized by advances in information and computer technology, education faces the challenge of presenting information effectively to meet diverse needs. The role of information and computer technology in the school admission process is becoming increasingly important. The Jambi provincial education office has a crucial responsibility in ensuring an equitable quality of education in its region. However, obstacles arise when the implementation of the online New Learner Admission (PPDB) system has not been evenly distributed across all SMA/SMK in Jambi Province, especially in district areas and new schools. To overcome this problem, developing a web-based PPDB application using the PHP language and MySQL web server is the right choice. The aim is to improve accessibility, transparency, and quality in the implementation of PPDB in the Jambi Province area. The web technology chosen allows this application to be accessed easily from various devices with an internet connection, without requiring the installation of additional software. Thus, the development of this PPDB application is expected to provide an effective and efficient solution in the process of admitting new students in Jambi Province.
Klasifkasi Kualitas Biji Jambu Mete Menggunakan Metode Convolutional Neural Network (CNN) Male, Marianus Roru
JATISI Vol 11 No 3 (2024): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v11i3.8167

Abstract

Abstract Deep Learning is a subfield of Machine Learning that uses artificial neural networks with many layers to analyze and extract features from data. The Deep Learning method used in this research is the Convolutional Neural Network (CNN) method. The problem raised in this research is the classification of the quality of Cashew Seeds between good quality and poor quality. This is considered important because there has been no previous research discussing this topic. The aim of this research is to be able to classify the quality of cashew nuts based on their image using the CNN method, and see how well the CNN model that was built performs. This research uses 1000 datasets as input. The dataset consists of 2 classes, namely, 500 images of good quality cashew seeds and 500 images of poor quality cashew seeds. The classification process is carried out using several different parameters and uses the EfficientNetV2M architecture and the ResNet50 architecture. This aims to compare and determine the best results obtained from the classification system. In testing, the EfficientNetV2M architecture produces the best accuracy of 98% from a learning rate of 0.001 and epoch 60. Meanwhile, the ResNet50 architecture produces the best accuracy of 93% from a learning rate of 0.001 and epoch 20. Based on these results, it is concluded that the CNN model built has good performance in classifying quality of cashew seeds. Keywords— Deep Learning, CNN, Cashew Seeds.
Sistem Pakar Penentu Penyakit Gigi Dengan Metode Naive Bayes Pada RSUD Solok Selatan Putra, Fiki Kurniawan
JATISI Vol 11 No 3 (2024): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v11i3.8193

Abstract

The importance of having healthy teeth has been demonstrated by various studies, but with insufficient facilities it is difficult to the goal so that people can understand how important it is to have a healthy tooth. In collaboration with a specialist at RSUD Solok South, this research has succeeded in creating an expert system website that can help a patient to diagnose early symptoms Gingivitis, Periodontitis, Caries Superfisialis (enamel), Caries Media, as well as Deep Caries on the teeth anywhere and at any time, by implementing Naive Bayes method on the website as a calculation system and with 20 symptoms that have been concluded and obtained from the specialist that will be asked to the patient, the system will look for results based on the data of symptoms perceived against the patient.
RANCANGAN SISTEM PENUNJANG KEPUTUSAN DALAM MENENTUKAN REKOMENDASI VAPORIZER BAGI PEMBELI PADA TOKO INDVAPORSHOP DENGAN METODE WEIGHTED PRODUCT Julian, Dwitri Ono
JATISI Vol 11 No 3 (2024): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v11i3.8194

Abstract

Vapor is an alternative substitute for tobacco cigarettes with many fans from different sectors so vapor becomes a widespread trend, Indvaporshop is a vapor shop that is a place of research that aims to explore buyers in determining vapor products that meet the purchaser's criteria, aspects on criteria determined based on specifications on each product such as brand, category, battery, watt, as well as the price on each vapor product, with 20 vapour product data and 5 specification criteria obtained on the basis of the owner's interview, the use of the Weighted Product motode as the calculation process used in this study. The overall recommended result on all steam pods is HexOhm v3 Anodized with a value of 0.0662. While recommendations based on criteria such as branded Vaporesso, category “MOD”, battery capacity 2200 mAh, 220 watt at a price below Rs. 800,000 will give the Vaporeso Luxe II results.
Decision Support System for Palm Oil Collectors Selection at CV Afka Using Weighted Product Silalahi, Antoni
JATISI Vol 11 No 3 (2024): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v11i3.8222

Abstract

The selection of the right palm oil collectors is very important in the process of selling oil palm plantation products, because it can directly impact the sustainability of buying and selling between farmers and collectors. The main purpose of making this palm oil collector selection Decision Support System is to meet the needs of CV Afka in terms of selling its plantation products to collectors. The weighted product method is the main choice because it can accommodate various criteria relevant to the selection of palm oil collectors. This system is not only influenced by the price factor, but also by various other factors such as distance, road access, collector capacity, timeliness of payment, and service to farmers with the aim of understanding the specific needs and preferences of CV Afka in selecting palm oil collectors. Testing the decision-making system using the weighted product method is used to determine the decision to select palm oil collectors at CV Afka. The highest ranking result obtained from this test is alternative 8, namely Toke Sawit Raja Sobu with a preference value of 0.127.
Rekomendasi Iphone Bagi Pembeli Baru Di Appel House Store Yogyakarta Dengan Metode WP Tarigan, Daniel Praise
JATISI Vol 11 No 3 (2024): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v11i3.8233

Abstract

In the current digital era, where technological devices have become an inseparable part of everyday life, especially in the use of mobile phones or gadgets, research on iPhone recommendations for new buyers at the Appel House Store Yogyakarta using the Weighted Product (WP) method has significant importance. . This method was chosen because of its ability to consider criteria such as RAM, price, ROM, screen and battery, thereby providing more precise and personalized recommendations for new buyers. Data from new buyers is analyzed using WP to determine which iPhone best suits their preferences. The results show that WP is effective in providing recommendations that match buyer preferences, providing a useful guide for new buyers in choosing an iPhone at the Appel House Store Yogyakarta. The importance of this research is to improve the experience of new buyers in choosing an iPhone according to their needs and preferences.
Klasifikasi Motif Kain Batik Papua Menggunakan Metode Support Vector Machine (SVM) Naa, Rutce
JATISI Vol 11 No 3 (2024): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v11i3.8292

Abstract

Batik merupakan salah satu identitas busana Indonesia dan merupakan warisan budaya yang telah diakui oleh UNESCO. Terdapat beberapa jenis motif batik dari berbagai daerah yang ada di Indonesia. Batik Papua hadir dengan ragam motif, selain dikenal dengan motif daerah asal pembuatannya, motif corak budaya serta corak flora dan fauna mewarnai keragaman motif batik dari Papua. Penelitian ini membahas bagaimana mendekteksi motif kain batik papua dengan ekstraksi fitur GLCM (gray-level co-occurence matrices) klasifikasi menggunakan metode Support Vector Machine (SVM) dan dapat menghasilkan perbandingan dari kernel metode tersebut dengan berupa score akurasi, presisi, dan recall yang paling optimal. Hasil score akurasi yang tertinggi. Pada pengujian, SVM kernel = Polynomial, Gaussian, dan Sigmoid, pada berbagai pecahan data (split ratio) seperti 90:10 mencapai akurasi sebesar 100%. Selanjutnya, hasil score akurasi yang terendah. Pada Pengujian, SVM kernel = Polynomial, split ratio 10:90 mencapai akurasi sebesar 53%.
PENERAPAN CLUSTERING DENGAN K-MEANS UNTUK PEMILIHAN MENU FAVORIT DI TETRA COFFEESHOP Prasetiyo, Dwi; Lestari, Wiji; Atima, Vihi
JATISI Vol 11 No 3 (2024): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v11i3.8347

Abstract

This study aims to develop an application that applies the K-means clustering algorithm to menu data from Tetra CoffeeShop, grouping menu items based on specific characteristics including name, price, transactions, and stock. The process involves uploading an Excel file containing the data, data preprocessing, and clustering. The analysis results indicate effective grouping of menu items using the K-means algorithm, with the optimal number of clusters determined using Elbow method and Silhouette Score. Visualizations such as scatter plots, histograms of price, sales, and stock distribution provide insights into patterns within the data. These findings help understand customer preferences and stock management, potentially enhancing operational efficiency at Tetra CoffeeShop. This study underscores the importance of data analysis in business decision-making.

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