INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi <div style="background: #6BB9F0; border-bottom: none; border-left: 6px solid #2574A9; border-right: none; border-top: none; box-shadow: rgba(0, 0, 0, 0.5) 0px 5px 8px -6px; padding: 0.875rem 1.5rem 0.875rem 0.875rem !important; text-align: justify;"><span style="color: #000000;">INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi is a scholarly periodical. INTENSIF publishes research papers, technical papers, conceptual papers, and case study reports. This Journal discusses the latest trends in the science of computer science, especially information systems. These fields include Information Systems, Software Engineering, Data Mining, Data Warehouses, Computer Networks, Artificial Intelligence, e-Business, e-Government, Big Data, Application Development, Geographic Information Systems, Information Retrieval, Information Technology Infrastructure, Systems Knowledge Management, and Company Architecture, IoT, and other relevant with computer science and Information system</span></div> <p>&nbsp;</p> Universitas Nusantara PGRI Kediri en-US INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi 2580-409X <p>Authors who publish with this journal agree to the following terms: <br>1. Copyright on any article is retained by the author(s).<br>2. The author grants the journal, right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work’s authorship and initial publication in this journal. <br>3. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal’s published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.<br>4. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.<br>5. The article and any associated published material is distributed under the&nbsp;<a href="" rel="license">Creative Commons Attribution-ShareAlike 4.0 International License</a></p> Exploring Alternative Approaches for TwitterForensics: Utilizing Social Network Analysis to Identify Key Actors and Potential Suspects <p>SNA (Social Network Analysis) is a modeling method for users which is symbolized by points (nodes) and interactions between users are represented by lines (edges). This method is needed to see patterns of social interaction in the network starting with finding out who the key actors are. The novelty of this study lies in the expansion of the analysis of other suspects, not only key actors identified during this time. This method performs a narrowed network mapping by examining only nodes connected to key actors. Secondary key actors no longer use centrality but use weight indicators at the edges. A case study using the hashtag "Manchester United" on the social media platform Twitter was conducted in the study. The results of the Social Network Analysis (SNA) revealed that @david_ornstein accounts are key actors with centrality of 2298 degrees. Another approach found @hadrien_grenier, @footballforall, @theutdjournal accounts had a particularly high intensity of interaction with key actors. The intensity of communication between secondary actors and key actors is close to or above the weighted value of 50. The results of this analysis can be used to suspect other potential suspects who have strong ties to key actors by looking.</p> Irwan Sembiring Ade Iriani Suharyadi Suharyadi Copyright (c) 2023 Irwan Sembiring, Ade Iriani, Suharyadi Suharyadi 2023-08-05 2023-08-05 7 2 161 176 10.29407/intensif.v7i2.18894 Development of Measuring System using CSI on ITIL V3 for Improvement at Oil Palm Plantation Company <p>Many information technology services firms now offer services and consider software availability to be a critical component of achieving excellence and competing in the industry. The most crucial factor for customers is the quality of service, consumer needs, the state of the organization/company, and the present market should all be considered when improving their service. In this study, an ITSM analysis will be carried out at an oil palm plantation company based in West Kalimantan Province using ITIL framework V3 by focusing on continual service improvement, which largely relies on service measurement because a process must be measurable to be regulated and improved. To achieve continuous service improvement (CSI) throughout the service life cycle, we use the 7-step process to improve is used to establish and take care of the stages involved in identifying, defining, collecting, processing, analyzing, presenting, and implementing changes. The result of this analysis is CSF and KPI analysis that produce metrics, such as the average resolution time, the percentage of events allocated more than once, and the initial response time, then create a measurement system that is in accordance with the needs and can be used as a reference for the company's system assessment.</p> Johanes Andry Careen Hany Wijaya Kennedy Thomas Copyright (c) 2023 Johanes Andry, Careen Hany Wijaya, Kennedy Thomas 2023-08-05 2023-08-05 7 2 177 191 10.29407/intensif.v7i2.18989 Electronic Health Records (EHR) Usability and User Experience Evaluation: A Case Study <p>Manual medical record documents have a high risk of leakage and loss. This is because the storage is only in the cupboard. In Indonesia, Electronic Health Records (EHR) have been widely adopted. Clinics, the Rumah Keluarga Sehat Clinic located in Jember Regency. The implemented EHR is a complement to the manual medical record. To obtain a successful EHR implementation, it is necessary to evaluate the usability and user experience. Usability testing is an evaluation method that involves end users in the system development process. This study aims to evaluate the usability and user experience of the EHR developed at the Rumah Keluarga Sehat Clinic. Tests were carried out using the System Usability Scale (SUS) and User Experience Questionnaire (UEQ) instruments. Instruments were given to 7 respondents consisting of doctors, medical recorders, admins, and pharmacists at Rumah Keluarga Sehat Clinic, Jember. The results of the usability evaluation with SUS showed a score of 77.14 which indicated the Good category. And the UEQ results show above-average results on a scale (perspicuity and dependability), and excellent on 4 scales (attractiveness, efficiency, stimulation, and novelty). The results of the evaluation with 2 instruments show that the developed EHR has met the user's needs.</p> Muhammad Yunus Intan Sulistyaningrum Sakkinah Ulfa Emi Rahmawati Atma Deharja Maya Weka Santi Copyright (c) 2023 Muhammad Yunus, Intan Sulistyaningrum Sakkinah, Ulfa Emi Rahmawati, Atma Deharja, Maya Weka Santi 2023-08-05 2023-08-05 7 2 192 201 10.29407/intensif.v7i2.19090 Factor Analysis of Intention to Use Open-Source ERP: A Case Study from East Java Area <p>Open-source ERP is an information system that supports the digitization of an organization's business so that it can support business continuity in an uncertain environment during the new normal while still implementing health protocol. In fact, only a few small to medium-sized organizations have adopted it. This research aims to examine the significant factors that influence the intention to use or adopt an open-source ERP system in the MSME-based new normal era. In the manner of exploring technological readiness's positive and negative effects on cognitive factors (H1 and H2), environmental uncertainty, and cognitive and organizational readiness on intention to use (H3, H4, H5). There are 420 respondents collected by non-probability sampling and have been analyzed using PLS-SEM based on five subsectors of the small and medium-scale organizations (i.e.: agricultural, fishery, fashion, handicrafts, and culinary). This research confirms that the conceptual model and the five hypotheses proposed previously have been fully proven. The findings of this study prove that the intention to adopt an open-source ERP system is influenced by readiness factors (positive and negative technological, cognitive, and organizational) and environmental uncertainty due to the past COVID-19 pandemic.</p> Aris Kusumawati Ully Asfari Aisyah Putri Amni Ramadhanti Ekky Dea Audry Jaya Farid Duta Hadyanto Copyright (c) 2023 Aris Kusumawati, Ully Asfari, Aisyah Putri Amni Ramadhanti, Ekky Dea Audry Jaya, Farid Duta Hadyanto 2023-08-05 2023-08-05 7 2 202 220 10.29407/intensif.v7i2.19330 Impact of Fuzzy Tsukamoto in Controlling Room Temperature and Humidity <p>Dry season is a season where the room temperature exceeds the needs of the body so that it is unpleasant, unhealthy and can interfere with human productivity. In addition, the efficiency of use and resource requirements are also a concern for some people. To overcome this problem, an automatic room temperature control device was created using the ESP32 microcontroller with Tsukamoto's fuzzy algorithm optimization as a data processing technique to produce optimal fan speeds in duty cycle units based on temperature and humidity conditions in realtime. Four tests by running a fan for 30 minutes on each showed that the average difference between the maximum and minimum temperatures in the room was 0.95°C, while the average difference between maximum and minimum humidity was 2.0%. In addition, the test graph shows that when the fan is rotated in a closed room without air circulation, the relative temperature change increases from the initial minute to the last minute of the test. Meanwhile, changes in relative humidity decrease, although fluctuations increase within 1-4 minutes. This study found that fans are not effective in lowering room temperature optimally. Therefore, it is recommended to replace with an exhaust fan in future research.</p> Sunardi Sunardi Anton Yudhana Furizal Furizal Copyright (c) 2023 Sunardi Sunardi, Anton Yudhana, Furizal Furizal 2023-08-05 2023-08-05 7 2 221 242 10.29407/intensif.v7i2.19652 Neural Networks-Based Forecasting Platform for EV Battery Commodity Price Prediction <p>This study explores the impact of green energy-based economies on the growing use of electric vehicle (EV) batteries in transportation and electronic devices. Despite the environmental benefits, concerns have emerged regarding the supply, pricing, and volatility of raw materials used in battery manufacturing, exacerbated by geopolitical events such as the Russian-Ukrainian war. Given the high uncertainty surrounding EV commodity materials, this research aims to develop forecasting tools for predicting the prices of essential lithium-based EV battery commodities, including Lithium, Cobalt, Nickel, Aluminum, and Copper. The study builds on previous research on commodity price forecasting. Using Neural Networks such as LSTM that run using analytics platforms like RapidMiner, a robust and accurate models is able to be produced while require little to no programming ability. This will solve the needs to produce advanced predictions models for making decisions. As the results from the research, the models that are produced are successful in generating good prediction models, in terms of RMSE of 0,03 – 0,09 and relative errors of 4-14%.</p> Andrew Reinhard Marulak Togatorop Annisa Indira Larashati Bahari Achmad Choiruddin Copyright (c) 2023 Andrew Reinhard Marulak Togatorop, Annisa Indira Larashati Bahari, Achmad Choiruddin 2023-08-05 2023-08-05 7 2 243 261 10.29407/intensif.v7i2.19999 Classification of Dragon Fruit Stem Diseases Using Convolutional Neural Network <p>A holticulture plant known as dragon fruit (pitaya) is a fruit that has many benefits and is widely cultivated by farmers in several areas of Banyuwangi. In dragon fruit plants there are various kinds of diseases that attack including red spot, stem rot, black rot, scab, and mosaic. Farmers still recognize diseases on dragon fruit stems manually so that sometimes there are errors in disease recognition. In this research, a system was developed to identify the types of diseases on dragon fruit stems. This system was built by proposing the Convolutional neural network method with the proposed architecture using the Python programming language with the Tensorflow, Keras, and Scikit-Learn libraries. The proposed system is tested using k-fold cross validation with tunning parameters fold = 5 and epoch = 5. The training results show that the highest accuracy performance value is 85.06% with the data used as test data as many as 191 images producing 147 correct data and 44 data wrong, while the average overall accuracy score was 76.43%.</p> Lutfi Hakim Aditya Roman Asyhari Sepyan Purnama Kristanto Dianni Yusuf Junaedi Adi Prasetyo Hamdan Maruli Siregar Copyright (c) 2023 Lutfi Hakim, Aditya Roman Asyhari, Sepyan Purnama Kristanto, Dianni Yusuf, Junaedi Adi Prasetyo, Hamdan Maruli Siregar 2023-08-05 2023-08-05 7 2 262 275 10.29407/intensif.v7i2.20093 Comparison of Modified Nazief&Adriani and Modified Enhanced Confix Stripping algorithms for Madurese Language Stemming <p>The Madurese language has a unique morphology. The morphological uniqueness can be used to find basic words. The basic word process is called stemming. Stemming can be developed into an application for translating Madurese into Indonesian and even other languages. It can support the development of a Madurese language text plagiarism system. Stemming research on the Madurese language is still rare. Therefore, this study aims to find the basic words of the Madurese language using modifications to the Nazief &amp; Adriani algorithm and Enhanced Confix Stripping (ECS) modifications. The study used 1000 Madurese words, consisting of 630 prefix words, 74 ending words, and 296 confix words. The results showed that the modification of the Nazief &amp; Adriani algorithm was better, shown by the accuracy obtained of 88.8% with overstemming of 0.7% and understemming of 10.5%. As for ECS, an accuracy of 74.0% was obtained, 0.4% overstemming, and 25.6% understemming. In the same process, Nazief&amp;Adriani's modification is faster than the ECS modification. For the Nazief&amp;Adriani modification, it takes 13.31 seconds while for the ECS modification, it takes 210.88.</p> Enni Lindrawati Ema Utami Ainul Yaqin Copyright (c) 2023 Enni Lindrawati, Ema Utami, Ainul Yaqin 2023-08-05 2023-08-05 7 2 276 289 10.29407/intensif.v7i2.20103 Identification of IT Governance and Management Objectives and Target Process Capability Level in Government Institution <p>This study attempts to review whether the organization's IT governance and management practices are appropriate, whether other practices are needed, and the level of capability required for the practices implemented. This study uses COBIT 2019 (Control Objectives for Information and Related Technology 2019) as a reference for guideline practices and COBIT 2019 design factors as a method to identify organizational IT governance and management objectives. Based on this research, it shows that organizational IT governance and management are in accordance with national policies. However, in implementation, it still needs improvement with several other IT governance and management practices according to COBIT 2019. Based on the final results of this study after refinement of the design factor, the proposed IT objectives and practices that meet compliance with a policy are APO 13, APO 12, BAI 08, BAI 06, BAI 09, APO 14, DSS 02, and APO 07. However, adjustments still need to be made by adding some of the practices that are in line with the characteristics of the organization, which are MEA 03, DSS 05, EDM 03, and BAI 11. This study identifies appropriate IT governance and management objectives in the Province of West Java, Republic of Indonesia.</p> Ridha Hanafi Munir Munir Suwatno Suwatno Choirul Furqon Copyright (c) 2023 Ridha Hanafi, Munir Munir, Suwatno Suwatno, Choirul Furqon 2023-08-05 2023-08-05 7 2 290 308 10.29407/intensif.v7i2.20108 Stowage Planning System for Ferry Ro-Ro Ships Using Particle Swarm Optimization Method <p>Stowage planning involves distributing cargo on board a ship, including quantity, weight, and destination details. It consists of collecting cargo manifest data, planning cargo location on decks, and calculating stability until the vessel is declared safe for sailing. Finding the ideal solution to real-world situations in this stowage planning problem is challenging and frequently requires a very long computing period. The Particle Swarm Optimization (PSO) algorithm is one of the evolutionary algorithms known for its efficient performance. PSO has been extended to complex optimization problems due to its fast convergence and easy implementation. In this study, the Particle Swarm Optimization (PSO) method is implemented to automate stowage arrangements on ships considering three factors (width, length, and weight of the vehicle). This system was evaluated with KMP Legundi vehicle manifest data and four load cases of 12 different vehicle types that can be loaded on Ferry / Ro-Ro Ships. It provides complete vehicle layouts and allows interactive changes for stowage planners, ensuring speed and accuracy in arranging ship cargo.</p> Fajar Astuti Hermawati Jalu Prasetya Mulya Copyright (c) 2023 Fajar Astuti Hermawati, Jalu Prasetya Mulya 2023-08-05 2023-08-05 7 2 309 323 10.29407/intensif.v7i2.20562