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Andry Fajar Zulkarnain
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JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat)
Published by Universitas Lambung Mangkurat
ISSN : 25275399     EISSN : 25282514     DOI : http://dx.doi.org/10.20527
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering Engineering
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) is intended as a media for scientific studies on the results of research, thinking and analytical-critical studies regarding research in Systems Engineering, Informatics / Information Technology, Information Management and Information Systems. As part of the spirit of disseminating knowledge from the results of research and thought for service to the wider community and as a reference source for academics in the field of Technology and Information.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 10 Documents
 1 
Search results for , issue "Vol. 9 No. 2 (2024)" : 10 Documents clear
Comparison of Arima Model with The Addition of Linear Quadratic Estimation Algorithm for Prediction The Spread of Covid-19 in Kotabaru District Eka Setya Wijaya; Bara Nugraha Putra Suryana
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 9 No. 2 (2024)
Publisher : Fakultas Teknik Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jtiulm.v9i2.211

Abstract

Coronavirus disease 2019 (Covid-19) has been declared by WHO as a pro-longed global pandemic which has caused signif- icant public health problems, deaths and economic losses, therefore it is necessary to carry out prevention and control ef- forts to break the chain of transmission of Covid-19. One effort that can be done is to estimate the additional number of posi- tive cases of Covid-19, so that the number of isolation rooms and the need for medical personnel can be estimated. In this study the prediction of an increase in the number of positive cases of Covid-19 was carried out using the Linear Quadratic Estimation (Kalman Filter) approach based on the state space model formed from the ARIMA model (0,1,4). Based on train- ing data from March 23, 2020 to April 4, 2023, the best time series model is the ARIMA model (0,1,4) which was chosen based on the smallest AIC value and satisfies the residual test hypothesis
Examining IT Service Management Service Operations Utilizing The ITIL V3 Framework: A Case Study of Dana Zulkarnain; Anthony; Elvin Valentino; Keaton Yoputra; Mulyanto; Nellsen Purwandi
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 9 No. 2 (2024)
Publisher : Fakultas Teknik Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jtiulm.v9i2.212

Abstract

This paper presents a comprehensive analysis of IT service management (ITSM) service operations within the context of the ITIL v3 framework, focusing on a case study of Dana, a digital wallet company. Employing a quantitative research approach through a questionnaire, the study delves into Dana's implementation of ITIL v3 practices in managing its IT services. It investigates various aspects of IT service operations, encompassing event management, incident management, problem management, request fulfillment, and access management, within the framework of ITIL v3 and maturity model. By scrutinizing Dana's ITSM service operations, this study aims to offer insights into the effectiveness and challenges of applying the ITIL v3 framework in real-world organizational settings. The research findings contribute to the existing knowledge on IT service management practices and provide practical recommendations for organizations striving to optimize their IT service operations using ITIL v3 principles.
IoT-Based Door Security System as A Countermeasure and Theft Prevention Raditya Koesyan Dipo Pramukti; Afu Ichsan Pradana; Rudi Susanto
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 9 No. 2 (2024)
Publisher : Fakultas Teknik Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jtiulm.v9i2.216

Abstract

A security system is very necessary when creating a system. One of them is a door lock system. There are several security systems that can be used when creating an automatic door locking system, namely using alarms and application notifications. A good security system also requires how quickly the tool or system works to give signs that someone is breaking in. By applying IoT (Internet of Things) and also the ESP32 microcontroller, we can monitor an event in real-time. With IoT-based security systems, the system can continuously operate with just stable internet and electricity. The ESP32 microcontroller is also widely used in IoT projects due to its ease of operation and affordable price. An alarm that is responsive can help us prevent criminal activities. An alarm functions to alert us of something or a situation. By combining the concepts of the ESP32 microcontroller and alarm notifications in the form of messages on Telegram, we can create a reliable system. This becomes an effective solution for securing properties and the safety of its occupants.
Mapping of Food Crop Commodity Production Areas in Indonesia Using The Average Linkage Method Hery Priandoko; Alva Hendi Muhammad; Anggit Dwi Hartanto
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 9 No. 2 (2024)
Publisher : Fakultas Teknik Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jtiulm.v9i2.219

Abstract

Indonesia consists of several regions that have the potential to meet food needs. One of the main sectors that meet food needs is the agricultural sector. The agricultural sector is a sector that needs significant attention from the central and regional governments in meeting national food needs. Food needs are currently often scarce so people find it difficult to obtain these food needs. The problem of dependence on food needs can endanger the availability of the country's food supply. Importing food crop commodities is one solution to maintaining food availability in Indonesia. Imports of food crop commodities carried out by Indonesia show that the amount of food commodity availability cannot meet national food needs. In Indonesia, some regions have food crop commodity production so that they can help in the availability of these food needs. From the existing problems, researchers tried to conduct research by mapping the regions or areas in Indonesia to find out which regions have food crop commodity production. In this study, the mapping that will be used is using the hierarchical cluster method. The hierarchical cluster method that will be used is the agglomerative hierarchical cluster method with the average linkage method. The results of this study will be formed into 3 clusters with the following details: high cluster, medium cluster, and low cluster. The highest cluster obtained 2 members, namely the Provinces of East Java and Central Java. The Medium Cluster obtained 1 member, namely the Province of West Java. The Low Cluster obtained 31 members, namely the Provinces of Aceh, North Sumatra, West Sumatra, Riau, Jambi, South Sumatra, Bengkulu, Lampung, Bangka Belitung Islands, Riau Islands, DKI Jakarta, DI. Yogyakarta, Banten, Bali, West Nusa Tenggara, East Nusa Tenggara, West Kalimantan, Central Kalimantan, South Kalimantan, East Kalimantan, North Kalimantan, North Sulawesi, Central Sulawesi, South Sulawesi, Southeast Sulawesi, Gorontalo, West Sulawesi, Maluku, North Maluku, West Papua, and Papua.
Application of K-Means and K-Medoids Algorithms for Clustering Chili Commodity Trade Distribution in Indonesia Febri Widianto; Elika Thea Kirana; Nurahman; Depi Rusda
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 9 No. 2 (2024)
Publisher : Fakultas Teknik Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jtiulm.v9i2.220

Abstract

Chili is one of the important commodities in agriculture and food, which is a product of the capsicum plant that has significant economic value in international trade. This study aims to identify an effective distribution strategy for red chili commodities in Indonesia through the use of the K-means and K-medoids clustering algorithms. The data used comes from the Central Statistics Agency (BPS) in 2022, including parameters-production, consumption, surplus/deficit, trade margin, and the impact of market operations and natural disasters. The implementation of K-means and K-medoids uses the RapidMiner application to form six provincial clusters based on the characteristics of red chili distribution. The results of the analysis show that K-medoids consistently outperforms K-means in cluster formation, with lower Davies-Bouldin Index (DBI) values ​​indicating better clusters. The conclusion of this study confirms that K-medoids is more effective in grouping red chili distribution areas in Indonesia, potentially providing a stronger foundation for strategic decision making in the distribution management of this commodity. Therefore, this study recommends the use of K-medoids as a more appropriate approach for planning and implementing red chili distribution strategies in Indonesia.
MSME AI Readiness Analysis Using The AIRI Framework: Analisis Kesiapan AI UMKM Menggunakan Kerangka Kerja AIRI Muhammad Husein Budiraharjo; Alva Hendi Muhammad; Kusnawi
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 9 No. 2 (2024)
Publisher : Fakultas Teknik Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jtiulm.v9i2.307

Abstract

AI is expected to become one of the key technologies supporting the development of MSMEs, which represent a major pillar of Indonesia's economy. Successful adoption and implementation of AI require the right strategies, one of which stems from an analysis of a company’s AI readiness. In this study, an AI readiness analysis was conducted using the AIRI framework on six MSMEs from various business sectors. The results of the analysis provided the AI readiness levels of each MSME, along with comparisons to similar industries and to industries of comparable business scale (MSME). The analysis also yielded several recommendations for AI adoption and strategies to enhance the AI readiness of each MSME. All the MSMEs involved in the study positively accepted the AI readiness analysis and the adoption recommendations provided. The study did not produce any feedback for improvements to the AIRI framework itself; however, there were suggestions for further development of the AIRI application to better assist MSMEs in determining AI readiness targets and appropriate AI implementation strategies in the future..
Classification of Mental Disorders Using Modified Balanced Random Forest And Feature Selection Arsad; Alva Hendi Muhammad; Tonny Hidayat
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 9 No. 2 (2024)
Publisher : Fakultas Teknik Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jtiulm.v9i2.320

Abstract

This study employs the Modified Balanced Random Forest (MBRF) algorithm and Correlation-based Feature Selector (CfsSubsetEval) for mental disorder classification. The "Mental Disorder Classification" dataset from Kaggle was used with the aim of improving accuracy, evaluating feature selection, and assessing MBRF's performance in handling data imbalance. The study compares the performance of Random Forest (RF) and MBRF, and examines the impact of feature selection using CFS on mental disorder classification. The results indicate that MBRF outperforms RF with an 8.33% improvement in accuracy, 8.61% in precision, 8.33% in recall, and 9.08% in F1-Score. Additionally, the comparison between MBRF and MBRF with CFS reveals that while accuracy and recall remain the same, MBRF achieves 0.23% higher precision and 0.81% higher F1-Score than MBRF with CFS. In conclusion, the use of MBRF proves to be superior to the standard RF in addressing data imbalance for mental disorder classification, significantly improving accuracy, precision, recall, and F1-Score. However, feature selection with CFS does not significantly enhance performance. While accuracy and recall remain unchanged, MBRF without CFS demonstrates higher precision and F1-Score, indicating that the model performs better without feature selection in maintaining the balance between precision and recall.
Maturity Level Analysis of FT ULM Service System Using The Cobit 2019 Framework Muhammad Asriannoor
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 9 No. 2 (2024)
Publisher : Fakultas Teknik Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jtiulm.v9i2.338

Abstract

Effective use of Information Technology (IT) is a key factor in improving the quality of educational services offered by the Faculty of Engineering, Lambung Mangkurat University (FT ULM). To achieve this goal, FT ULM is committed to continuously improving its performance and services in IT governance. This research focuses on measuring the maturity level of IT governance in FT ULM's service system, particularly in the service aspect. The objective is to analyze the maturity level of FT ULM's service system using the COBIT 2019 framework. The evaluation is conducted to identify the gap between the current and desired conditions, and provide recommendations for improving IT governance. The methods employed include literature review, data collection through questionnaires and interviews, and data analysis using the COBIT 2019 framework. Data collection is focused on relevant domains, such as Build, Acquire, and Implement (BAI), Align, Plan, and Organize (APO), Deliver, Service, and Support (DSS), and Evaluate, Direct, and Monitor (EDM). The research results indicate that the average maturity level is at Level 3 (Established Process). There is a significant gap between the current and desired conditions, highlighting the need for improvement and enhancement in several aspects of IT governance. The recommendations provided include strengthening risk management, improving service system integration, and enhancing infrastructure and policies related to IT governance.
Usability Evaluation of i-Saku Mobile Application Using Usability Testing Method With PACMAD Model Charvia Cipta Wijaya
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 9 No. 2 (2024)
Publisher : Fakultas Teknik Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jtiulm.v9i2.339

Abstract

The i-saku application is a digital wallet or money app published by PT Inti Dunia Sukses and used for transactions at Indomaret. Currently, the i-saku app has a low rating and many negative user reviews on the Google Play Store. In this study, the PACMAD model was used to test seven usability attributes: Effectiveness, Efficiency, Satisfaction, Learnability, Memorability, Error, and Cognitive Load. Data was collected through three techniques: Performance Measurement, System Usability Scale (SUS), and Retrospective Think Aloud (RTA). The research findings showed an effectiveness rate of 85.33% for the i-saku app, an efficiency rate of 0.04398689 goals/second, a satisfaction rate of 43, good learnability and memorability levels, an error rate of 0.026, and 26 complaints regarding cognitive load. This study provides information on the usability evaluation of the i-saku app using the PACMAD model and offers suggestions for improvement based on the findings
Analysis of Internet Network Quality of Service (QoS) on ULM Hotspot at Universitas Lambung Mangkurat Banjarmasin Rizky Fatra Wijaya
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 9 No. 2 (2024)
Publisher : Fakultas Teknik Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jtiulm.v9i2.340

Abstract

With the internet, the technique of having information or records will become quicker and extra efficient. present day college students are very dependent on the internet in phrases of gaining knowledge of, doing assignments, accumulating assignments, even within the studying method using the internet. the present facility at Lambung Mangkurat university is ULM HOTSPOT to facilitate college students to get entry to the internet without cost, however at certain times ULM HOTSPOT regularly decreases its network speed. The intention of the research became to analyze the quality of the ULM HOTSPOT network in five faculties of Lambung Mangkurat university, Banjarmasin, specifically the faculty of Engineering ULM, faculty of Eco- nomics and business ULM (FEB ULM), faculty of teacher training and education ULM (FKIP ULM), faculty of Social and Political Sciences ULM (FISIP ULM), in addition to the ULM faculty of law, by using searching out parameter calculations for quality of provider, particularly Throughput, Jitter, delay, and Packet Loss primarily based on TIHPON standardization and in order to be able to discover what factors impact the parameter values of quality of service. The research turned into accomplished by collecting parameter data from quality of service using the network Protocol Analyzer software, specifically Wireshark in five faculties of Lambung Mangkurat university, Banjarmasin through getting access to the ULM HOTSPOT network in each faculty and establishing Simari, Gmeet, and Zoom as substances for accumulating quality of service parameter records. . The outcomes of this observe obtained a quality of service rating based on standards from TIHPON, faculty of Engineering with a rating of 2.75 (Unsatisfactory), FEB-ULM with a rating of 3 (excellent), FKIP-ULM with a value of 2.75 (Unsatisfactory), FISIP-ULM with a value of 3 (excellent), and the faculty of law with a value of 3 (excellent). The factors that have an effect on the decrease within the quality of service rating based on the ULM HOTSPOT internet network consumer capability exceeds the limit.

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