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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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Sistem Pendukung Keputusan Menggunakan Metode WASPAS Untuk Pemilihan Aplikasi Manajemen Bisnis dan Keuangan Ramadhan, Idrus; Nugroho, Nurhasan; Kurniawanto, Hadi; Warta, Joni
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.v12i1.1214

Abstract

In dynamic and complex business environments, effective management is crucial, particularly in the use of business and financial applications. However, the plethora of available applications makes selecting the right one a complicated and time-consuming process. Users must review each application before making a decision, which is often difficult and lengthy due to a lack of comprehensive understanding of all available options. This research aims to develop a Decision Support System (DSS) utilizing the WASPAS (Weighted Aggregated Sum Product Assessment) method to facilitate the selection of ideal business and financial management applications and streamline the decision-making process. The WASPAS method is chosen for its ability to evaluate various alternatives by combining weighted sum and weighted product approaches, resulting in a more balanced and objective evaluation. This research produces a system capable of performing automatic calculations using the WASPAS method and presenting the best alternative recommendations in the form of rankings. Additionally, the DSS developed achieved an average usability score of 91.25%, indicating that the system is user-friendly and suitable for implementation
Sistem Informasi Penggajian Karyawan Berbasis Web (Studi Kasus PT. Bridgestone Kalimantan Plantation) Prasetyo, Bagus; Rizki, Afian Syafaadi; Wibowo, Dwi Agung; Aristi, Nina Mia; Ridha, M. Najamudin
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.v12i1.1233

Abstract

Bridgestone Kalimantan Plantation, a rubber plantation company, currently manages employee payroll semi-manually using a Delphi-based desktop application and Microsoft Excel. This approach encounters several challenges, such as limited accessibility, data integrity issues, and time-consuming processes. To address these problems, this study aims to develop a web-based payroll information system. The primary objective of this research is to improve accessibility, streamline payroll management processes, and enhance data accuracy and security. The system is designed using the Laravel framework, chosen for its ease of use and security in implementing authentication and authorization, as well as its future integration capabilities. The results of the study indicate that the developed system functions as needed, providing a more efficient platform, reducing errors, and improving the user experience for employees involved in the payroll process. The implementation of this system is expected to enhance the overall operational efficiency of PT. Bridgestone Kalimantan Plantation.
Analisis Tingkat Kepuasan Mahasiswa terhadap Layanan Pengelola Program Studi Menggunakan Metode Inference Fuzzy Sugeno Prihamayu, Amrul Hinung
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.v12i1.1239

Abstract

This research aims to analyze the level of student satisfaction with study program management services at the Faculty of Islamic Economics and Business (FEBI) IAIN Ponorogo using the Sugeno fuzzy inference method with the help of the Fuzzy Toolbox in the MATLAB application. The data used is primary data collected from 1036 respondents, namely active students from the Sharia Economics, Sharia Banking and Zakat and Waqf Management Study Programs. The evaluation includes five service factors: Tangible, Reliability, Responsiveness, Assurance, and Empathy, which are measured using a Likert scale. The analysis process begins with creating a fuzzy set for each variable, using the fuzzy implication function, compiling 19 fuzzy rules, and ending with defuzzification to obtain a concrete value for the level of satisfaction. The research results show that the Sugeno fuzzy method can effectively capture variations in student responses and provide accurate results regarding their level of satisfaction. This method makes it easier for the Faculty Quality Control Team team to evaluate and improve the quality of academic services, thereby making a significant contribution to continuous improvement in the management of study programs at FEBI IAIN Ponorogo.
Development of a Local Wisdom Mapping Application to Support P5 Learning at SMA Negeri 5 Bandung Suprapto, Falahah; Fajar, Abdullah; Munandar, Fajar
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.v12i1.1240

Abstract

Local wisdom is a valuable national cultural asset that needs to be preserved. We can initiate an effort to preserve local wisdom by disseminating it to the broader community through comprehensive and precise information. However, Indonesia has not yet effectively managed local wisdom information, forcing individuals to scour the internet for various sources. On the other hand, the education sector also places significant emphasis on local wisdom, incorporating it as a key theme in the implementation of the P5 (Projek Penguatan Profil Pelajar Pancasila) program in schools. P5 is a project-based learning approach that has become mandatory from the latest education curriculum (Kurikulum Merdeka). Through teamwork, P5 assigns students to study a specific subject or social or cultural phenomenon. This assignment culminates in the presentation of a report or a specific product. P5 typically collects reports and information in hard copy form, only archiving them at the school, making it challenging for both students and the wider community to access them. Indeed, easy access to the collected information would greatly enhance its usefulness. Based on the aforementioned conditions, we proposed a solution that involves building and implementing a local wisdom mapping application for the storage of digital data. The P5 programs at Senior High School 5 (SMA Negeri 5) Bandung, which selected local wisdom as a specific theme for P5, serve as the data source for this application. It is expected that the presence of this application can support the P5 learning process by facilitating digital storage of research results and disseminating the results to a wider community. We conducted this study using the canonical action research method. Two classes of 10th-grade students participated in the implementation and socialization phases of the pilot project. They can input a location and complementary information such as related photos and videos and complete student research reports. It helps the student keep their work published and reachable by the broader community. The evaluation results demonstrate the application's ease of use and benefits for students and the school.
Creating Easy Tender App for Tender Process Procurement Division at PT. United Tractors Imran, Farhan Ryanda; Pamungkas, R Wisnu Prio
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.v12i1.1247

Abstract

In the ongoing era of digital transformation, the use of information technology has become essential in digitizing business processes across various sectors, including the tender process for procuring goods and services. Manual tender processes often face several challenges, such as being time-consuming, prone to human errors, and inefficient. In the Procurement and Investment Function Division 1 of PT. United Tractors, the tender process for optional safety device items is still conducted manually, creating complexity and consuming a significant amount of time. This research proposes the development of an Android-based application, named Easy Tender, to automate most stages of the tender process. The application is designed to include features such as participant registration, tender participant confirmation, automatic winner determination based on the lowest price and set deadlines, and sorting ranking in the tender recap using the Bubble Sort algorithm. Additionally, the application provides ease of digitalized negotiation and allows real-time monitoring of the tender process. With the development of Easy Tender, it is expected that the Procurement and Investment Function Division 1 of PT. United Tractors can digitize their tender processes, making the tender process more efficient, time-saving, and reducing the risk of human errors. This application is also expected to enhance accountability in determining the winner based on the lowest price. Therefore, this research holds high urgency in efforts to improve operational efficiency and the application of information technology in the business world.
Analisis Tingkat Kematangan Sangraian Biji Kopi Menggunakan Ekstraksi Fitur Warna Ade Saputra, I Gede Pramana; Rahayu, Prastyadi Wibawa; Ardiada, I Made Dwi
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.v12i1.1258

Abstract

This research aims to develop a digital image analysis system that can determine the level of maturity of roasted coffee beans, in terms of detecting roasted coffee beans that are suitable and not suitable for consumption and sold as quality coffee (special coffee) as stated in the coffee bean classification standards provided by SNI No. 01-2907-1999. This research aims to develop a digital image analysis system that can determine the level of maturity of roasted coffee beans in terms of color. The color feature extraction used in this research is the HSV (Hue Saturation Value) color space. This research began by collecting data in the form of 2D digital images of roasted coffee beans. The system developed in this research consists of two main stages, namely training and testing. The amount of coffee bean image data used was 90 images. The data used is in the form of images of coffee beans consisting of three levels, namely dark, light and medium. Classification uses the Naive Bayes algorithm. Based on the results of research on the analysis of coffee bean maturity levels, the highest training accuracy was 100% and the highest testing accuracy was 100%.
Prediksi Student Performance Pada Hasil Penilaian Proses Pembelajaran Online Mata Pelajaran Informatika Di SMA Dipa, Sasra; Santoso, Joan; Chandra, Francisca H.
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.v12i1.1259

Abstract

In the Corona Endemic, we are not just returning to offline education patterns but are already moving towards education 5.0. Online, normal, blended learning patterns have become commonplace. Online learning assessment requires fast and precise predictions of student performance (high accuracy). The reason is first, due to limited direct interaction. Second, normal learning usually involves an assessment of the learning process and character assessment to be able to provide an accurate final assessment, which is difficult to implement in online learning accurately. Third, there is a lot of data to be processed quickly and precisely so that it can be reported to educational institutions and to students' families. Fourth, Informatics is a lesson that is 80% practical and 20% theory so that the assessment instruments used are 80% performance instruments (Bloom's taxonomy: C2, C3, C4, C5) and 20% multiple choice instruments (C1). Informatics correction and assessment requires more time because 80% cannot be assessed automatically. This research aims to predict student performance (Pass (1) or Intervention (0)) on the results of the online learning process assessment for informatics subjects in high school. If the student performance prediction results in an intervention, it will be immediately followed up by providing an intervention strategy to increase student performance. The target of the research results is to achieve > 70% accuracy on the processed dataset. This research uses the ensemble learning method random Forest Classification and XG Boosting classification. The research results of Student Performance Prediction using XG Boost Classification produce higher accuracy than RF Classification which has an average accuracy value = 93% while RF Classification has an average accuracy result = 92%. The research objectives have been achieved because the results of the 2 methods used have met the desired targets.
Perbandingan Algoritma Klasifikasi Analisis Sentimen Pengguna Aplikasi Getcontact Dalam Pencegahan Penipuan Online Hermanto, Hermanto; Fahlapi, Riza; Kuntoro, Antonius Yadi; Asra, Taufik
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.v12i1.1262

Abstract

Online fraud refers to various fraudulent acts carried out over the internet with the aim of fraudulently obtaining financial gain or personal information. We need to continue to spread awareness about the importance of security for ourselves and the people we know, where currently there are many different modes of online fraud. One application that is well known to the public is the GetContact application, which is an application designed to provide information about incoming calls, identify spam or fraudulent calls, and provide services related to a list of telephone contacts that have been registered by fellow users of the application. In this research, researchers will analyze the sentiment of comments from users of the Getcontact application by comparing the test results of classification algorithms, namely Naïve Bayes Classifier and SVM. This research process will begin with data sampling using the scrapping technique on Google Playstore and processing data from users of the Getcontact application using RapidMiner. After the preprocessing process and model testing with two textmining methods using algorithms, namely SVM and Naive Bayes, the evaluation and validation results show that Naïve Bayes has a higher level of accuracy than SVM. For Naïve Bayes, the accuracy value reached 82.97% with an AUC value of 0.500, while for SVM, the accuracy value was 78.00% with an AUC value of 0.926. These results show that Naïve Bayes is superior in classifying user comments on the Getcontact application on Google Play as positive and negative comments.
Perancangan Sistem Informasi Buku Tamu Berbasis Web Pada Kantor Kementerian Hukum dan Hak Asasi Manusia Banda Aceh Pratiwi, Icha Widya; Ahmad, Nazaruddin; Hadinegoro, Arifiyanto; Hafizh, Saifan; Sulthanah, Rana
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.v12i1.1266

Abstract

In an agency, visits from other institutions and the general public frequently occur. To record these visits, an officer manages a guest book where visitors log their presence and state their purpose. However, the conventional method of using a guest book is susceptible to damage and leads to the accumulation of physical books. Additionally, summarizing visit data daily, weekly, monthly, or annually becomes challenging. Therefore, there is a need for digital modernization of visitor recording to align with the smart government concept implemented in government agencies. The proposed solution is to design a web-based guest book information system that will facilitate visitor data recording, visit monitoring, and visit summarization according to the needs of the leadership at the Regional Office of Law and Human Rights in Banda Aceh. To achieve optimal results, this study employs the Research and Development (R&D) method combined with the waterfall software development approach. The design process includes creating use case diagrams, conceptualizing database table relations, and utilizing the PHP programming language with the Bootstrap framework to ensure an easy-to-use interface. With this guest book information system, visitors will no longer need to fill out conventional guest books, and the Regional Office of Law and Human Rights in Banda Aceh will not require traditional guest book archiving. All visitor data, visit logs, and visit summaries will be stored in a system accessible to relevant parties as needed.
Identifikasi Tanda Tangan Dengan Menggunakan Metode Convolution Neural Network (CNN) Indriani.S, Dechy Deswita; Sinaga, Elya Juni Arta; Oktavia, Grace; Syahputra, Hermawan; Ramadhani, Fanny
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.v12i1.1273

Abstract

This research aims to develop and evaluate a Convolutional Neural Network (CNN) model for signature identification. The CNN method is chosen for its capability to extract and analyze complex visual features from signature images. The data used in this study consists of a collection of signature images divided into training and testing sets. The proposed CNN model comprises several convolutional, pooling, and fully connected layers optimized for classification tasks. Evaluation results indicate that the CNN model achieves excellent performance with an accuracy of 0.97, demonstrating high accuracy and precision in signature recognition. With these results, CNN proves to be an effective and reliable method for signature identification, making a significant contribution to the field of biometric identity verification. These findings open opportunities for further applications in security and authentication systems requiring automatic signature recognition.

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