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Jurnal Teknologi dan Manajemen Informatika
Published by Universitas Merdeka Malang
ISSN : 16936604     EISSN : 25808044     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Engineering
Jurnal Teknologi dan Manajemen Informatika (JTMI) diterbitkan oleh Fakultas Teknologi Informasi Universitas Merdeka Malang. JTMI terbit 2 edisi per tahun pada Januari - Juni dan Juli - Desember dengan scope ilmu komputer yang mencakup teknologi informasi, sistem informasi, dan manajemen informatika.
Arjuna Subject : -
Articles 141 Documents
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Cargo Delivery web-based Application with Ant Colony Optimization Algorithm for Shortest Route search: A Case Study in the Die Cutting Industry Wiratama, Jansen; Wijaya, Santo Fernandi; Tandika, Idris; Santoso, Hari
Jurnal Teknologi dan Manajemen Informatika Vol. 10 No. 1 (2024): Juni 2024
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jtmi.v10i1.11372

Abstract

Conventional business processes sometimes lead to negligence and forgetfulness regarding important delivery requests, thereby causing operational disruptions that could impact the company's reputation. The limitations of conventional methods are also faced by CV Karya Pelangi, a company operating in the Die die-cutting industry, where many customer orders are usually submitted orally, causing problems that lead to late deliveries and delays in the production process. This problem is exacerbated by limited resources, for example, a delivery fleet consisting of only two drivers. Focuses on developing web-based applications with prototyping models and implementing the Ant Colony Optimization (ACO) algorithm to overcome delivery route optimization challenges. This research produces a web-based application using a software prototype model. In addition to applying the ACO algorithm to identify optimal delivery routes, the app offers insights into the goods transported, shipper details, and departure and destination times. Simulation results show that CV Karya Pelangi can now determine short circuit paths efficiently, thereby increasing operational efficiency, with a path length of 0.3892 and a pheromone intensity of 2.569. This innovative solution promises to revolutionize cargo shipping operations, ensuring timely and efficient deliveries increasing customer satisfaction and operational efficiency.
Klasifikasi Jenis Kanker Prostat Melalui Citra MRI Menggunakan Pengolahan Citra Digital Putra, Rangga Pahlevi; Marisa, Fitri
Jurnal Teknologi dan Manajemen Informatika Vol. 10 No. 2 (2024): Desember 2024
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jtmi.v10i2.12666

Abstract

The prostate gland is one of the parts of the male reproductive system. The prostate gland is one of the organs that is not infrequently affected by cancer. Prostate cancer is one of the top diseases that often appears as one of the deadly diseases in the world. Including in Asia, the incidence of prostate cancer patients averages 7.21 per 100,000 men each year. To identify the symptoms of cancer, early detection in men can usually be done through a rectal examination. However, there is another method that utilizes imaging technology, specifically MRI images for prostate cancer, to determine the size of the cancer. By applying image processing methods such as Watershed segmentation and the Multiclass Support Vector Machine method, it is possible to classify the type of prostate cancer through MRI images. From the research conducted, it can be explained that the segmentation results of MRI images for prostate cancer using the Watershed method can show the detected cancer area spots. Meanwhile, the use of the MultiSVM method for classification shows an accuracy result of 90.166% for the polynomial kernel type.
Usability Testing pada Aplikasi Mobile SnapChat Menggunakan System Usability Scale Azzahra, Syifa; Khadijah, Khadijah; Sunarsih, Sunarsih
Jurnal Teknologi dan Manajemen Informatika Vol. 10 No. 2 (2024): Desember 2024
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jtmi.v10i2.13774

Abstract

The Snapchat application is a mobile-based social media platform for interacting withothers through messages, photos, or videos. Although the Snapchat application was previously booming in Indonesia, its usage has declined over time. Therefore, the usability of the Snapchat application needs to be evaluated to determine how easy the application and its features are to use. This research aims to conduct usability testing on the Snapchat mobile application by measuring three aspects: effectiveness, efficiency, and satisfaction. The effectiveness and efficiency aspects are evaluated through task scenario testing, while the satisfaction aspect is evaluated using the System Usability Scale (SUS). The respondents involved in this usability testing consist of 5 new users and 5 long-time users of the Snapchat application. The evaluation results obtained were then used as a basis for formulating recommendations for interface design improvements in the form of a prototype, which was subsequently re-evaluated in the same manner as the previous evaluation. The evaluation results after the interface design improvements showed an increase in the effectiveness aspect by 12.50%, the efficiency aspect by 19.54%, and the SUS score by 18.75.
Evaluasi Kualitas Sistem Informasi Pergudangan pada Perusahaan Distributor Obat-Obatan Menggunakan Model McCall Wicaksono, Soetam Rizky; Setiawan, Rudy; Purnomo, Purnomo; Nurwegiono, Muhammad
Jurnal Teknologi dan Manajemen Informatika Vol. 10 No. 2 (2024): Desember 2024
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jtmi.v10i2.13965

Abstract

This research was conducted to evaluate the quality of the warehouse information system at a pharmaceutical distribution company in order to provide recommendations regarding system upgrade decisions. Considering the importance of the effectiveness of the warehouse system in maintaining stock accuracy and the smooth distribution of pharmaceuticals, this evaluation uses the McCall Model, which includes the aspects of Product Operation, Product Revision, and Product Transition. The method used involved in-depth interviews with four warehouse staff and two managers who provided deep insights into the strengths and weaknesses of the current system. The interview results indicate that although the system is satisfactory in operational aspects such as data accuracy, reliability, efficiency, integrity, and ease of use, there is significant dissatisfaction regarding maintenance capabilities, flexibility, portability, reusability, and interoperability. While the managers are quite satisfied with the revision aspects, the majority of warehouse staff expressed challenges in system maintenance and adaptation. The biggest issues were found in the system's ability to transition between operational environments, be reused in other applications, and communicate with other systems. This study concludes that improvements are needed in the aspects of maintenance and flexibility, as well as enhanced system integration to meet dynamic operational needs. Suggestions for future research include involving more respondents from various divisions and using additional methods such as quantitative surveys and direct observation to obtain a more comprehensive picture.
Impact of Artificial Intelligence and Human Resource Management on Leadership Organization Perfomance Fatyandri, Adi Neka; Guo, Bernard; Muchsinati, Evi Silvana
Jurnal Teknologi dan Manajemen Informatika Vol. 10 No. 2 (2024): Desember 2024
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jtmi.v10i2.14060

Abstract

This research was conducted in the manufacturing company sector in Batam. This research aims to find out how much influence artificial intelligence and human resources have on the influence of leadership on organizational performance. The method used in research is a quantitative method. The sample required for this research is 173 respondents. The result of this research is that the research data is free from common method bias because the VIF value is below 5.00. In the convergent validity test, all variables and indicators are said to be valid because the outer loadings value reaches 0.5 which are all variabel are valid because the outer loadings value does meet the criteria. In the Fornell Larcker validity test, the variable average can be said to be valid because there are variables that are less than 0.6, namely organizational performance. Apart from that, in the reliability test all variables are considered reliable exept LEP because the average Cronbach's alpha value is not more than 0.6 and meets the established criteria. For future research may concentrate on other industries, particularly the manufacturing sector, exploring different variables.
The Impact of AI Transformation and Risks in Financial Services Wau, Marselino; Laia, Firdaus; Wau, Ferdinand Tharorogo; Fau, Jhon Firman
Jurnal Teknologi dan Manajemen Informatika Vol. 10 No. 2 (2024): Desember 2024
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jtmi.v10i2.14122

Abstract

This research presents a novel examination of the dual impacts of digital transformation and AI risks on the quality of financial services, with a particular focus on their interplay and the role of external regulatory factors. Unlike previous studies, this research offers a detailed quantitative analysis while integrating regulatory challenges and financial literacy as critical moderating factors. A survey of 84 respondents, including risk managers, IT managers, and executives from financial institutions, was conducted to analyze the specific effects of digital transformation and AI-related risks. The findings indicate that digital transformation negatively affects service quality, while AI risks positively impact operational efficiency and data analysis accuracy. However, these two variables explain only a small portion of the variance in service quality, suggesting that other factors, such as regulatory frameworks and financial literacy, play a significant role. The study recommends enhancing technological preparedness, implementing AI risk mitigation strategies, and addressing external factors to optimize service quality in the digital era.
Assessing the Determinants of Students' Intentions to Enroll in Higher Education: The Impact of Social Media, University Image, E-WOM, and Tuition Fees Sujatmiko, Fransiskus Deo Immanuel; Aditya, Addin
Jurnal Teknologi dan Manajemen Informatika Vol. 10 No. 2 (2024): Desember 2024
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jtmi.v10i2.14384

Abstract

University is the level of further education after high school. Several aspects need to be considered by students before deciding to continue to higher education. The purpose of this study is to find, analyze and prove the effect of E-WOM, university image, tuition fees, and social media on student’s intentions. Multiple linear regression analysis was used to analyze the relationship between 4 independent variables and 1 dependent variable. The sampling method used a purposive sampling approach with a total of 100 respondents, and data processing was done computationally. From the results of the study it was revealed that the Electronic Word of Mouth variable had a positive but not significant effect, the university image variable had a positive and significant effect, the social media variable had a significant positive effect, and the education cost variable had a positive but not significant effect on student’s intentions, all variables were independent has a positive effect simultaneously, and from the results of the dominance test, the social media variable (X2) is the most dominant variable.
Penerimaan Teknologi QRIS bagi Pelaku UMKM Kabupaten Banyumas Menggunakan Technology Acceptance Model (TAM) Saputra, Jeffri Prayitno Bangkit; Waluyo, Retno; Lestari, Dwi Puji; Ramadhani, Sekar Ajeng
Jurnal Teknologi dan Manajemen Informatika Vol. 10 No. 2 (2024): Desember 2024
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jtmi.v10i2.14703

Abstract

The growth of MSMEs in Banyumashas experienced rapid development. Some MSME actors in the region have utilized QRIS as an online transaction tool, which offers various advantages. However, the implementation of QRIS still faces several obstacles, such as limited network infrastructure,as well as social and cultural aspects related to the acceptance and adaptation of technology in society. This study aims to analyze the factors influencing the acceptance of QRIS usage by MSME actors in Banyumas using the Technology Acceptance Model (TAM). The external variables analyzed include information quality, system quality, and computer self-efficacy. The sample size used was 150 respondents. The research results show that the factors of information quality and computer self-efficacy do not impactperceived usefulness. Conversely, all the external factors analyzed have a significant impact on perceived ease of use. Additionally, the research findings reveal that perceived usefulness does not influence behavioral intention, whereas perceived ease ofuse affects behavioral intention. Furthermore, the factor of behavioral intention has a positive impact on actual system use of QRIS technology among MSME actors in Banyumas.
Implementasi Platform Match Making sebagai Strategi Pemberdayaan UMKM Ekonomi Kreatif Kota Malang Saputra, Pramana Yoga; Syaifudin, Yan Watequlis; Mundzir, Hudriyah; Fatmawati, Triana
Jurnal Teknologi dan Manajemen Informatika Vol. 10 No. 2 (2024): Desember 2024
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jtmi.v10i2.14769

Abstract

Creative Economy SMEs (Small and Medium Enterprises) Indonesia, as part of micro, small, and medium enterprises, play a vital role in the national economy with their creative and innovative value addition. This sector encompasses 17 subsectors, including culinary, film, and applications. Malang City, recognized as one of Indonesia's creative cities, exhibited significant growth with 12,345 creative economy MSMEs in 2022, a 10.5% increase from the previous year. The three dominant subsectors are culinary, applications and games, and film, video, and animation. However, MSMEs in Malang face challenges such as lack of capital, low product quality, unappealing packaging, and difficulty in reaching markets. To address these issues, an innovative collaboration platform has been developed, connecting MSMEs with communities, investors, academics, and the government. Through these efforts, MSMEs are expected to enhance competitiveness, product quality, and market access, supporting sustainable growth in the creative economy sector.
Sistem Pendukung Keputusan Penentuan Lokasi Usaha Kuliner Menggunakan Metode Analytic Hierarchy Process (AHP) dan Technique for Others Reference by Similarity to Idealsolution (TOPSIS) Isyriyah, Laila; Maulidi, Rakhmad; Fandi, Achmad Zaza Sandri A
Jurnal Teknologi dan Manajemen Informatika Vol. 10 No. 2 (2024): Desember 2024
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jtmi.v10i2.14791

Abstract

This study focuses on developing a Decision Support System (DSS) to assist culinary business owners in selecting optimal business locations. The research integrates the Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods into the decision support system. AHP is used to objectively determine the weights of several criteria through pairwise comparisons, while TOPSIS is employed to evaluate location alternatives based on their proximity to the ideal solution. The AHP and TOPSIS calculations reveal that criterion K3 (Distance from transportation facilities) has the highest weight of 0.3053, followed by K1 (Distance from residential areas) with a weight of 0.2698, highlighting that accessibility to residential areas and public transportation are important factors in business location selection. Integrating the DSS with a Map API further aids users in making location-related business decisions.

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