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J-Intech (Journal of Information and Technology)
Published by Sekolah Tinggi Informatika dan Komputer Indonesia Malang
ISSN : 23031425     EISSN : 2580720X     DOI : https://doi.org/10.32664/j-intech
Core Subject : Science, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Engineering Library & Information Science
J-INTECH merupakan jurnal yang diterbitkan oleh Lembaga Penelitian & Pengabdian kepada Masyarakat (LPPM), Sekolah Tinggi Informatika dan Komputer Indonesia Malang. Ruang lingkup jurnal ini pada bidang Teknik Informatika, Sistem Informatika, dan Manajemen Informatika. Tujuannya guna mengakomodasi kebutuhan akan perkembangan Teknologi Informasi. J-Intech terbit setahun dua kali, yaitu Juni dan Desember.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 288 Documents
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Perancangan Dan Pembuatan Sistem Informasi Penjualan Apotek Berbasis Desktop (Studi Kasus Pada Apotek “Tiara”) Sena, I Gede Wiarta; Trianto, Edwin Meinardi; Octadianto Soedargo, David Saputra; R. C. D., Michael Komang
J-INTECH (Journal of Information and Technology) Vol 12 No 1 (2024): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v12i1.1341

Abstract

The important thing that must be done by a company is to ensure that the transaction process can run quickly and accurately. Therefore, companies must update their systems so that business processes can run optimally. Apotek Tiara still uses a manual transaction system, so there are many errors and problems that can harm the company. Therefore it is necessary to create a desktop-based application that can be used for the sales transaction process along with the order throwing transaction process. The purpose of this study is to develop and create a desktop-based sales information system that can be used by Tiara Pharmacy to improve operational efficiency and automate the sales process, stock recording, and financial reports. The method used in developing information systems is the agile method. The resulting system consists of a login process based on user access rights, a cashier process, updating item or drug data, a report generation process, and a delivery process. The result of this research is a sales information system at the Tiara pharmacy in the city of Surabaya which is specially made so that it can carry out an accurate data collection process.
Pengembangan Sistem Informasi Manajemen Inventory Berbasis Website pada Minimarket Sixteen Soedargo, David Saputra Octadianto; Rahmawati, Titasari
J-INTECH (Journal of Information and Technology) Vol 12 No 1 (2024): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v12i1.1344

Abstract

The digital era requires all businesses to shift from traditional industries to industries that utilize information technology. One of the businesses affected is a minimarket, which is a type of business that combines the concept of self-service on a small scale with a target market in line with traditional markets. Sixteen minimarket is an individual business managed by a food retail company and various kinds of daily necessities. The entire process of bookkeeping at Sixteen minimarkets is still done manually. This can lead to the risk of human error in producing goods reports and stock information. Manual bookkeeping can also be at risk of being lost or damaged. Apart from that, the data search process can also take quite a long time. This results in less than optimal service. A website-based inventory management information system was developed to solve this problem. The development method used is Waterfall. The design process includes the design of the Entity Relationship Diagram (ERD), Conceptual Data Model (CDM), and Physical Data Model (PDM). This information system can record goods reports and stock information more quickly, efficiently and accurately. Apart from that, it can also minimize the risk of human error.
Analisis Perbandingan Performa Framework NestJS dan Lumen Pada Studi Kasus Aplikasi Berbasis REST API Hanggara, Buce Trias; Nasrullah, Muhammad Hasan; Pramono, Djoko
J-INTECH (Journal of Information and Technology) Vol 12 No 1 (2024): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v12i1.1354

Abstract

Information service systems are often developed using web service architectures based on Application Programming Interfaces (APIs). There are various API technologies available, each offering different performance levels. NodeJS and PHP have specific frameworks for backend development, namely NestJS and Lumen. This study focuses on comparing the performance of these applications from the perspective of response time, CPU, and memory usage. The method involves testing 8 services created using each technology. This research provides a comparative analysis showing that there is no significant difference in response time between the two technologies, with only a 40ms or 0.04-second difference. In other aspects, differences were found between the two technologies in terms of CPU usage, with a 6% difference, and memory usage, with a 1% difference. NestJS demonstrated better efficiency in CPU and memory usage compared to Lumen, based on average calculations.
Penerapan Metode MAUT Dalam Sistem Pendukung Keputusan Untuk Pemilihan Supplier Yulinawati, Yulinawati; Resmi, Mohzen Gito; Kaniawulan, Ismi
J-INTECH (Journal of Information and Technology) Vol 12 No 02 (2024): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v12i02.1364

Abstract

This study aims to develop a decision support system (DSS) to assist companies in selecting the most suitable supplier based on relevant criteria. The method used in this research is the Multi-Attribute Utility Theory (MAUT), chosen for its ability to accelerate the decision-making process with a reasonable level of accuracy. The system is designed to evaluate various important criteria in supplier selection. To ensure the system design and development process is structured and systematic, the Waterfall method was applied as a reference in the design and development of the DSS using the MAUT method. The results of this study show that the DSS-based MAUT method can provide valid recommendations, with CV. Bintang Gemilang selected as the best supplier with a utility score of 0.8.
Optimalisasi Prediksi Kasus COVID-19 di Indonesia: Perbandingan Teknik Validasi 80-20 Split dan Walk-Forward dengan ARIMA Asrul, Divanda Arya Inasta; Soebroto, Arief Andy
J-INTECH (Journal of Information and Technology) Vol 12 No 02 (2024): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v12i02.1373

Abstract

This study presents a comparative analysis of the 80-20 split and walk-forward validation techniques for forecasting daily COVID-19 cases in Indonesia using the ARIMA model. Building on previous research, the ARIMA model has proven effective in various epidemiological contexts; however, this study highlights the critical importance of selecting the appropriate validation technique. The study uses data from January 3, 2020, to October 18, 2023, to develop a predictive model evaluated using Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE). The findings indicate that the walk-forward validation technique outperforms the 80-20 split, with MAE of 137.32 and RMSE of 198.23, compared to the 80-20 split MAE of 4190.92 and RMSE of 4479.15. These results suggest that walk-forward validation provides more accurate and reliable predictions, particularly for dynamic and non-stationary data scenarios. This study underscores the significant impact of validation technique selection on ARIMA model performance, contributing new insights into forecasting methodologies in epidemiology.
Halaman Awal J-Intech Volume 12 No 1 Juni 2024 Aminah, Siti
J-INTECH (Journal of Information and Technology) Vol 12 No 1 (2024): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v12i1.1389

Abstract

Halaman Awal J-Intech Volume 12 No 1 Juni 2024
Penerapan Multi-Layer Perceptron dan Diskrit pada Prediksi Cacat Software Wintana, Dede; Gunawan, Gunawan; Sulaeman, Hamdun; Bahri, Saeful
J-INTECH (Journal of Information and Technology) Vol 12 No 02 (2024): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v12i02.1422

Abstract

Software defects are one of the main causes of information technology waste, posing a major challenge in software development as they can degrade the quality of the software itself. To reduce costs and efforts in software development and maintenance, predicting software defects is the best approach. Multi-Layer Perceptron (MLP) is a type of artificial neural network that can be used to learn complex and non-linear patterns in input data. It excels in modeling complex and non-linear relationships in data, as well as automatically extracting features and handling problems that cannot be solved by linear models. One of the preprocessing steps to optimize MLP is data discretization, which involves dividing the range of attributes into intervals to reduce the number of numerical attributes to categorical data. Testing results with five types of data from NASA MDP (CM1, JM1, KC1, KC2, and PC1) showed significant accuracy improvements. In the CM1 dataset, accuracy increased to 96.1% compared to using MLP alone, which achieved 91.1%. In the JM1 dataset, accuracy increased to 79.1% compared to MLP alone, which achieved 78.3%. In the KC1 data, accuracy increased to 88.5% compared to MLP alone, which achieved 85.9%. In the KC2 dataset, MLP with discretization achieved an accuracy of 89.8%, better than MLP alone at 84.8%. In the PC1 data, the highest accuracy obtained was 95.5% compared to MLP alone, which achieved 94.3%.
Sistem Informasi Penjualan Roti Gembong berbasis Web Luthfi, Abdurrahman; Fadhilah, Helmi; Hapsah, Dido Muhammad; Mursidin, Muhamad Hanu; Abdillah, Windu; Sidik, Lantip; Sinduningrum, Estu; Ghazaly, Muhammad Fitra; Ikhwan, Rafli Abadi
J-INTECH (Journal of Information and Technology) Vol 12 No 02 (2024): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v12i02.1437

Abstract

This study aims to evaluate the impact of implementing a web-based application in improving the business performance of Gembong Raja Rasa bread. Through the development of this application, it is expected to improve the efficiency of the sales process, expand market reach, and ultimately increase company revenue. This study analyses quantitative and qualitative data obtained before and after the application implementation. The measured variables include the number of transactions, average transaction value, customer satisfaction level, and operational efficiency. The results showed that the implementation of web-based applications had a significant impact on the business performance of Gembong Raja Rasa bread. There is a significant increase in the number of transactions and average transaction value after the application implementation. This shows that the application succeeded in attracting new customers and increasing the frequency of purchases of loyal customers. In addition, the customer satisfaction survey results showed a significant improvement, especially in the aspects of ease of ordering and speed of delivery. Improved operational efficiency is also evident from the reduction in the time required for order processing and inventory management.
Analisis Sentimen Review Pelanggan Lazada dengan Sastrawi Stemmer dan SVM-PSO untuk Memahami Respon Pengguna Nafi', Abdun; Harjanta, Aris Trijaka; Herlambang, Bambang Agus; Fahmi, Saeful
J-INTECH (Journal of Information and Technology) Vol 12 No 02 (2024): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v12i02.1450

Abstract

In the digital era, sentiment analysis plays a strategic role in understanding customer perceptions of products and services. This research aims to analyze customer review sentiment on the Lazada platform through the application of text processing techniques and machine learning algorithms. Data is taken from product reviews on the platform, which then undergoes a preprocessing stage, including tokenization, stopword removal, and stemming using the Sastrawi algorithm. Next, sentiment classification was performed using a Support Vector Machine optimized through the Particle Swarm Optimization (PSO) method. The research results showed that the combination of the Sastrawi stemmer method and SVM-PSO was able to achieve significant accuracy, namely 90.57%, an increase of 6.24% compared to previous research. These findings provide deep insights into customer perceptions and offer valuable guidance for decision-makers at Lazada in improving service quality and customer satisfaction. This study also underscores the importance of applying Natural Language Processing techniques and machine learning algorithms in sentiment analysis on e-commerce platforms, which have proven to produce more accurate outputs.
Sistem Informasi Manajemen VPN Remote Mikrotik Berbasis Codeigniter PHP Framework Di Desa Sawo E, Poerbaningtyas; Adi, Achmad Riyan
J-INTECH (Journal of Information and Technology) Vol 12 No 02 (2024): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v12i02.1468

Abstract

Managing VPN accounts and configuring port forwarding on a Mikrotik CHR (Cloud Hosted Router) using Winbox is a complicated task for ordinary users who have no experience in network administration. So the configuration impacts include errors in determining TCP/UDP, Firewall Rules, IP and port numbers which result in port conflicts because the remote VPN fails to be managed properly. Based on the existing problems, the researchers created a Management Information System to manage forwarding, VPN accounts, payment gateways. So it will minimize human error and be more effective in automating configuration with a more attractive interface. This is useful for making it easier to use port forwarding on the Mikrotik CHR. The website-based VPN management system application uses the Mikrotik API and the type of VPN used is only L2TP/IPSec site-to-site protocol remote access. This research can increase productivity in managing VPN accounts and port forwarding.

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