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Journal of Informatics Management and Information Technology
Published by Forum Kerjasama Pendidikan TInggi
ISSN : -     EISSN : 27744744     DOI : -
Core Subject : Science,
Computer Science & IT
Journal of Informatics Management and Information Technology, memiliki kajian pada bidang: 1. Manajemen Informatika, 2. Sistem Informasi, dan 3. Teknologi Informasi
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 138 Documents
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Model Hibrida ARIMA-Neural Network untuk Peramalan Kasus Tuberkulosis Agung Setyabudi, Arriza; Etik Zukhronah; Isnandar Slamet
Journal of Informatics Management and Information Technology Vol. 5 No. 3 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v5i3.597

Abstract

Tuberculosis (TB) remains a significant public health challenge in Surakarta City, necessitating accurate forecasting methods to support effective and planned control strategies. This study aims to evaluate the performance of the Autoregressive Integrated Moving Average-Neural Network (ARIMA-NN) hybrid model in forecasting monthly TB cases in the Surakarta region. The performance of this hybrid model is further compared with the ARIMA model. The research data used consists of monthly TB case data from January 2019 to September 2024 obtained from the Surakarta City Health Department. The data is divided into two sets: training data from January 2019 to December 2023 and testing data from January 2024 to September 2024. The ARIMA(0,1,1) model was identified as the best model for capturing the linear component of the data, yielding a Mean Absolute Percentage Error (MAPE) of 14.52% on the training data and 16.55% on the testing data. The residuals from the ARIMA(0,1,1) model were then further modeled using a Neural Network with 5 hidden neuron architecture, period lookback 6, and a learning rate of 0.1, to capture the remaining non-linear patterns. The developed ARIMA(0,1,1)-NN hybrid model showed better forecasting performance, with a MAPE value of 14.34% on the training data and 14.48% on the testing data. These results indicate that the ARIMA-NN hybrid approach offers the potential for improved accuracy compared to the ARIMA model in the context of TB case forecasting in Surakarta.
Penerapan Teknologi Digital untuk Operasional dan Layanan UMKM Florist Rindiany, Rena
Journal of Informatics Management and Information Technology Vol. 5 No. 3 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v5i3.636

Abstract

Florist MSMEs face challenges in managing operations and reaching a broader customer base. This study aims to analyze the use of digital technology to improve operational efficiency and service quality at Rndyaniii Florist, an MSME located in Rantauprapat. The research method used is a case study with a descriptive qualitative approach through observation, interviews, and documentation. Rndyaniii Florist utilizes various digital platforms such as Instagram, Facebook, TikTok, and WhatsApp Business for promotion, communication, and product ordering. In addition, the store also uses a website based on Google Sites as a digital catalog to facilitate customer access to product information. This study is important to examine how digital technologies such as social media, communication applications, and simple websites can be effectively implemented in the context of florist MSMEs. Preliminary findings indicate that consistent use of digital platforms can accelerate the ordering process, enhance customer interaction, and expand market reach. Digitalization also supports daily operational efficiency and builds a more professional business image. This research provides a concrete overview of digitalization strategies that can be applied by other florist MSME owners, especially in facing increasingly technology-based market competition.
Klasifikasi Produk Iphone dengan Menggunakan Algoritma XGBoost Sihombing, Stevi Freshia; Pakpahan, Josua Prayuda; Lubis, Andre Hasudungan
Journal of Informatics Management and Information Technology Vol. 5 No. 3 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v5i3.649

Abstract

The iPhone has become a symbol of advanced technology and a modern lifestyle that is highly sought after by the global community, including in Indonesia. Known for its stable and exclusive iOS operating system, this product offers seamless cross-device integration, consistent system updates, and high performance through the support of the latest generation of processors. The iPhone also has a visual appeal through a minimalist and elegant design, as well as superior features such as professional camera quality, high-level data security, and power efficiency. The high popularity of the iPhone makes it one of the most competitive products in the smartphone market. However, the diversity of models, features, and prices of each iPhone series causes user preferences to be diverse and complex. In an effort to understand these preferences, an accurate classification method is needed to group products according to consumer appeal. This study adopts the XGBoost algorithm which is known to be effective in handling complex and large data. By utilizing iPhone product sales transaction data in the Indonesian market, this model is designed to identify purchasing patterns and user segmentation. The classification results are expected to provide deeper insights for manufacturers and marketers in formulating more targeted data-based marketing strategies.
Pemanfaatan Aplikasi Digital dalam Operasional Kedai Sembako Indah Untuk Perluasan Pasar dan Peningkatan Pelayanan Sari, Indah
Journal of Informatics Management and Information Technology Vol. 5 No. 3 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v5i3.650

Abstract

Digital transformation is one of the key factors in increasing the competitiveness of Micro, Small, and Medium Enterprises (MSMEs) in the industrial era 4.0. Kedai Sembako Indah, as one of the MSMEs in the staple food trading sector, faces challenges in operational efficiency, financial recording, and marketing. This study aims to analyze the use of digital applications in supporting the daily operational activities of Kedai Sembako Indah, including stock management, sales transactions, and marketing strategies. The method used is a descriptive qualitative study with a case study approach. Data were collected through interviews, direct observation, and documentation during the implementation process of digital applications such as cashier applications (point of sale), e-wallet platforms, and social media. The results of the study show that the use of digital applications has a positive impact on time efficiency, accuracy of transaction recording, and increased interaction with customers. In addition, the use of social media also helps expand market reach. The main obstacles faced are limited digital literacy and initial adaptation to new technologies. In conclusion, operational digitalization through simple applications can be a strategic initial step in strengthening the performance and sustainability of MSMEs such as Kedai Sembako Indah. Continuous assistance is needed so that technology adoption can run optimally.
Segmentasi Produk Fashion Berdasarkan Harga, Ukuran, dan Merek Menggunakan K-Means di Rapidminer Sanjaya, Ival; Nitami Evita Inonu; Muhammad Fahmi Fudholi; Adelia Pratiwi; Heni Sulistiani
Journal of Informatics Management and Information Technology Vol. 5 No. 3 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v5i3.651

Abstract

Tight competition and product diversity are the hallmarks of the fashion industry, especially in terms of price variation, size, and brand. To help the process of making more accurate business decisions, product segmentation is needed to identify the characteristics of each group. This study utilizes the K-Means Clustering algorithm to group fashion products based on these attributes. The implementation is carried out using the RapidMiner platform, starting with the data normalization stage and the transformation of categorical attributes into numeric form. The optimal number of clusters is determined through the elbow method approach, which shows a significant decrease in the average distance between data in the cluster. The clustering results show the formation of product groups with different characteristics, which can be utilized in stock planning and marketing strategies. This study confirms that the K-Means algorithm is effective in analyzing the distribution of fashion products based on the main attributes they have.
Perancangan Sistem Informasi Absensi Siswa Berbasis Android Menggunakan Metode Waterfall Ahmad Fatih; Ilham Aditya Chandra
Journal of Informatics Management and Information Technology Vol. 5 No. 3 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v5i3.695

Abstract

Student attendance is a crucial component of school administration, directly linked to discipline and attendance evaluation. At MA Nurul Falah, attendance recording is still conducted manually, which takes approximately ±10 minutes per class. This method is not only time-consuming but also prone to recording errors, negligence, and data loss. These issues can affect the accuracy of attendance data, which in turn impacts academic assessment and student discipline evaluation. This study aims to design and develop an Android-based student attendance information system that enhances the efficiency and accuracy of attendance recording. The research employs a Research and Development (R&D) approach using the Waterfall development model, which is suitable for building systems in a structured and systematic manner. The application is developed using Java and PHP programming languages, with MySQL as the database and Android Studio as the development environment. System testing is carried out using the BlackBox method to ensure all functionalities work as expected, along with a usability evaluation using the System Usability Scale (SUS) to measure user satisfaction and ease of use. The testing results show that the application reduces attendance recording time to approximately ±2 minutes per class (an efficiency improvement of around 80%), with a 100% success rate in functionality across various Android devices. This system offers a digital solution that is effective, efficient, and modern for managing student attendance. It is expected that the system can be further adopted and expanded by other educational institutions as a reference in implementing digital-based administrative processes in schools.
Sistem Klasifikasi Kelayakan Penerima Bantuan Langsung Tunai Menggunakan Metode K-Nearest Neighbor (KNN) Berbasis Website Dewi Sriwani; Lukman Hakim; Nelly Khairani Daulay; Asep Toyib Hidayat
Journal of Informatics Management and Information Technology Vol. 5 No. 3 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v5i3.702

Abstract

Poverty is the condition of a person's inability to fulfill the basic needs of life, which is often measured by income that is lower than the average in a region. In Indonesia, the poverty rate, including in Kabupaten Jombang, continued to increase from 2012 to 2017, with various government efforts to overcome this through social programs such as BLT (Direct Cash Assistance), Community Health Insurance, and the Family Hope Program (PKH). However, despite these programs, the data collection process for beneficiaries in some areas, such as Tanah Periuk Village, is still done manually, causing inaccurate targeting in the provision of assistance. For this reason, a more efficient solution is needed in determining the eligibility of beneficiaries. One of the technologies that can be used is data mining, especially the classification method, to analyze beneficiary data based on certain criteria. This research uses the K-Nearest Neighbor (K-NN) algorithm to build a classification system for the eligibility of direct cash transfer recipients in Tanah Periuk Village, with the aim of improving accuracy and efficiency in the beneficiary selection process. This system is web-based, which allows ease of processing and updating data centrally. The results of this study provide eligibility scores for BLT (Direct Cash Assistance) recipients based on the criteria provided. The criteria that are assessed are: House Condition, Income, Occupation and Number of Dependents. One of the families who “DESERVE” to receive assistance is Martina with semi-permanent house conditions, an income of IDR 1,000,000/month, a housewife's job, and 3 dependents.
Sistem Informasi Berita Online Berbasis Web Untuk Penyebaran Informasi Publik dengan Menggunakan Metode SDLC Janitra, Muhammad Randy; Dimas Febriawan
Journal of Informatics Management and Information Technology Vol. 5 No. 3 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v5i3.710

Abstract

This research aims to design and develop a web-based information system that simplifies the process for users to search for and access news content online. The study is motivated by the growing need for public information to be disseminated quickly, accurately, and without restrictions of time or location. The system was developed using the WordPress platform and is presented through a website called Koran Pengawas Korupsi (KPK), designed with a responsive interface, intuitive navigation, and an effective search function. The development process employed the Software Development Life Cycle (SDLC) using an iterative approach, allowing for flexible and incremental system development based on user feedback. Data collection methods included surveys and interviews to better understand user needs and guide the design of relevant features. The resulting website includes functionalities such as news search, categorization, user comments, and an administrative dashboard for content management. Testing results indicate that most users are satisfied with the user interface, search capabilities, and visual layout. However, suggestions for improvement were noted, including better content relevance and further design enhancements. In conclusion, this study contributes to the development of user-friendly and efficient web-based information systems that support effective news dissemination to the public.
Analisis Penerimaan Aplikasi Samsat Digital Nasional dengan Menggunakan Mobile Technology Acceptance Mode Ardianda, Feri; Ruliansyah, Ruliansyah; Alfresi, Aminullah Imal
Journal of Informatics Management and Information Technology Vol. 5 No. 4 (2025): October 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v5i4.732

Abstract

The rapid development of technology requires the government, including the One-Stop Integrated Administration System (SAMSAT), to integrate technology into their services. The One-Stop Integrated Administration System (SAMSAT), has developed various systems, one of which is the National Digital Samsat (SIGNAL). However, the implementation of this system brings concerns regarding user acceptance. The study was conducted to determine the level of acceptance and what factors influence the SIGNAL application at Samsat UPTB 1 Palembang using MTAM (Mobile Technology Accepted Model). This study uses a descriptive quantitative method with data collection methods that will be carried out, namely through interview techniques, questionnaires, and observation. The population and sample in this study are active SIGNAL users at Samsat UPTB 1 Palembang with a simple random sampling technique. The population of SIGNAL users is 9335, so the sample calculated using the Slovin formula, assuming a 95% reliability level, obtained a sample of 384 respondents. Data analysis used PLS-SEM with the Smart-PLS 4 tool. The results of the study showed that the level of acceptance of the SIGNAL application by the community at Samsat UPTB 1 Palembang was classified as accepting, with an average value of 3.23 from 384 respondents. Based on the MTAM analysis, it was found that the variables Mobile Usefulness and Mobile Perceived Financial Resources had a positive effect on Behavioral Intention, while Mobile Ease of Use had a negative effect. On the other hand, the variables Mobile Perceived Compatibility, Mobile Perceived Security Risk, and Mobile Perceived Trust did not show any effect on Behavioral Intention. In addition, Mobile Perceived Compatibility had a negative effect on Mobile Usefulness, while Mobile Perceived Financial Resources had a positive effect on Mobile Usefulness. As for Mobile Ease of Use, only Mobile Perceived Financial Resources had a positive effect, while Mobile Perceived Compatibility had no effect.
AI-Integrated Public Digital Infrastructure for Geopark Tourism: Empowering MSMEs through Smart Mobility and Data-Driven Governance Helmi Bahar Alim
Journal of Informatics Management and Information Technology Vol. 5 No. 4 (2025): October 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v5i4.786

Abstract

This study develops an integrated digital platform architecture as a systemic response to two structural challenges in the Kebumen Geopark: the economic exclusion of Micro, Small, and Medium Enterprises (MSMEs) from the digital tourism value chain, and the fragmentation of mobility services that reduce operational efficiency and visitor experience. Using a conceptual design methodology grounded in Critical Interpretive Synthesis (CIS), Comparative Policy Analysis (CPA), and contextual needs mapping, the study identifies three critical interdependencies between MSME empowerment, smart mobility, and parking management. These interdependencies form the basis of a validated integration architecture that, based on simulation and expert review, reduces average visitor wait times by 18% and increases MSME digital participation by 27%. The platform integrates modular components for MSME visibility, mobility optimization, and participatory governance through data-driven decision support. Validity was established through expert interviews (N=15) involving digital tourism practitioners, policymakers, and system designers, complemented by comparative analysis with five leading global smart tourism models (Jeju, Smart Santander, Magelang, Banyuwangi, and Yogyakarta). Theoretically, this research advances the Smart Tourism Ecosystem framework by embedding civic-oriented governance and data sovereignty into the system design. Practically, it delivers a replicable Public Digital Infrastructure (PDI) blueprint for inclusive and sustainable tourism governance in geoparks and similar non-urban destinations.

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