International Journal of Informatics, Economics, Management and Science
International Journal of Informatics, Economics, Management and Science (IJIEMS) is a scientific journal that will publish scientific work in the form of articles based on research results or scientific studies from researchers, Who aims to publish his writings, and published articles are guaranteed original from the results of research or work) the thoughts of an author, not from the taking of the scientific work of others or not the rights of the author himself. Make sure all articles published in our international journals, there is no element of fake or authentic research results from the author. Anything that violates the rights in the law or laws that infringe the copyright of published scientific works is the responsibility of the author. Please publish your scientific articles, according to the scope and focus of our international journals. The fields that can be published in our journal are as follows: SCOPE AND FOCUS Informatics : Artificial Intelligence, Expert Systems, Network Technology, Application Development, System Intelligence, Information Management Information System, Information Systems, Information Technology, Cellular Technology, Cloud Computing, Software Engineering, Database, Big Data, Data Science, System Security, Data Security, Design Technology, Artificial Intelligence, Neural Networks, Computer Networks, Educational Technology, Computing Technology, Artificial Neural Network, Fuzzy Logic, Computer System, Business Intelligence, Data Mining, Enterprise Information System. Economics : Macro Economics, Micro Economics , Moneter Economics, Buinding Economics, Islamic Economics, Accounting, Financial Accounting, Tax Accounting, Auditing, Management Accounting, Budgeting, Cost Accounting, Accounting System, International Accounting. Management : Financial Management, Human Resource Management, Marketing Management, Business Management, Operational Management, Production Management. Science: Mathematics, Statistics, Physics, Operational Research. Mathematics Logics, Numerics Method, Computing.
Articles
75 Documents
<![CDATA[Environmental Scanning and Early Warning Against Counterfeit Heritage Textiles: Systematic Review and Conceptual Framework ]]>
<![CDATA[Hajar Yuwono]]>;
<![CDATA[Mei Purweni]]>;
<![CDATA[Haris Annisari Indah Nur Rochimah]]>
<![CDATA[ International Journal of Informatics, Economics, Management and Science Vol. 5 No. 2 (2026): IJIEMS (August 2026) ]]>
Publisher : <![CDATA[Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta ]]>
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DOI: 10.52362/ijiems.v5i2.2650
<![CDATA[Counterfeit and imitation goods have posed a persistent commercial threat to heritage textile industries, batik and ikat among a wider family of regionally distinctive crafts. Environmental scanning (ES) and early warning systems (EWS) would seem the natural instruments for meeting that threat, embedded as both constructs are within strategic management and supply chain risk scholarship. The difficulty lay elsewhere. Work applying them to counterfeit detection in heritage textiles had accumulated in scattered pockets across management, law and engineering, with little sustained exchange between them. This study accordingly undertook a systematic literature review pursuing four lines of inquiry, namely how ES and EWS were operationalised to surface counterfeit risk, which technological and procedural components sustained systems that produced usable alerts, what systematic scanning yielded relative to unsystematic monitoring, and which barriers obstructed deployment among small and medium sized enterprises (SMEs) in developing economies. A fifth aim drew the four together into a conceptual framework. Retrieval proceeded through the Consensus academic search engine, which aggregates Semantic Scholar, Scopus, PubMed and arXiv. Nine thematic clusters returned 179 matched records, of which 90 unique records were screened in detail and 54 retained for narrative synthesis. Four patterns emerged. No system built expressly for heritage textile settings was found; the architectures encountered belonged to generic supply chain risk and brand protection frameworks, leaving the provenance concerns peculiar to heritage products unaddressed. Enabling technologies, among them RFID, blockchain, anomaly detection through artificial intelligence, and optical or fluorescent security materials, matured at considerable speed, yet their cost structures often placed them beyond the reach of artisan scale producers. Technological availability was less often the limiting factor than affordability and the capacity to implement and act on these technologies. The reviewed evidence consistently favoured systematic monitoring over ad hoc alternatives, although returns on protective investment were nonlinear. Adoption among SMEs stalled less on technical grounds than on the familiar triad of constrained finance, uneven digital literacy and thin institutional support, a pattern intensifying sharply in the Indonesian batik industry, where geographical indication and copyright registration among artisans remained sparse. The review advances a cooperative level conceptual framework that integrates scanning, early warning, affordability tiered technology, moderating conditions, and collective response pathways for heritage textile protection.]]>
<![CDATA[Implementation Of A Bandwidth Monitoring System Using Observium At PT XYZ ]]>
<![CDATA[Dwi Putro Bagus Sugianto]]>;
<![CDATA[Sevti Ariyani]]>;
<![CDATA[Yogi Kristiyanto]]>;
<![CDATA[Caesar Angga Perdana]]>;
<![CDATA[Amin Muzaeni]]>;
<![CDATA[Muhammad Manyu Setiawan]]>
<![CDATA[ International Journal of Informatics, Economics, Management and Science Vol. 5 No. 2 (2026): IJIEMS (August 2026) ]]>
Publisher : <![CDATA[Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta ]]>
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DOI: 10.52362/ijiems.v5i2.2655
<![CDATA[The increasing demand for fast, stable, and reliable internet services requires Internet Service Providers (ISPs) to have an effective network monitoring system. PT XYZ, as an Internet Service Provider, requires network monitoring to support bandwidth management and network performance supervision. Based on observations and interviews conducted during the Community Service Program, the existing network monitoring process had several limitations, including the absence of centralized monitoring, limited real-time bandwidth monitoring, lack of informative network visualization, and difficulties in identifying network disturbances. This activity aimed to implement a web-based network monitoring system using Observium to improve the effectiveness of bandwidth monitoring and assist the Network Operation Center (NOC) team in network supervision and troubleshooting. The implementation method used the Waterfall approach, consisting of requirements analysis, system design, implementation, testing, and maintenance. The system was implemented using Ubuntu Server 22.04, Nginx, MariaDB, PHP 8.1, Observium, and Simple Network Management Protocol (SNMP). Black Box Testing was conducted to verify the functionality of the implemented system. The results showed that the system successfully performed login, displayed the dashboard, monitored bandwidth, displayed network devices, and presented traffic graphs. The implementation centralized network monitoring, provided more understandable bandwidth information, and supported faster identification of network problems. Thus, Observium can support the effectiveness and efficiency of network monitoring activities at PT XYZ.]]>
<![CDATA[Sistem Pendukung Keputusan Pemilihan Mitra Jasa Pengiriman Barang Pada PT OCBC Menggunakan Metode Simple Additive Weighting (SAW) ]]>
<![CDATA[Dewi Kartika]]>;
<![CDATA[Johan Mohammad Palah]]>;
<![CDATA[Putri Ambarwati]]>;
<![CDATA[Muhammad Maulana Rachman]]>;
<![CDATA[Ainatul Radhiah]]>;
<![CDATA[Aditya Nugraha Pratamahanu]]>
<![CDATA[ International Journal of Informatics, Economics, Management and Science Vol. 5 No. 2 (2026): IJIEMS (August 2026) ]]>
Publisher : <![CDATA[Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta ]]>
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DOI: 10.52362/ijiems.v5i2.2657
<![CDATA[Pemanfaatan sistem penunjang keputusan dengan metode simple additive weighting pada PT OCBC mengenai pemilihan mitra jasa pengiriman dengan alternatif yaitu PT Satria Antaran Prima (SAPX), PT Tri Adi Bersama (Anteraja), PT Lion Express (Lion Parcel), PT Paxel Algorita Unggul (Paxel), dan Advantage. Perhitungan ini memiliki 4 kriteria yaitu harga; waktu pengiriman; layanan jangkauan; dan jenis layanan. berdasarkan dari penilaian PT OCBC dan dirumuskan ke dalam perhitungan Simple Additive Weighting diperoleh bahwa PT Lion Express (Lion Parcel) mendapatkan nilai tertinggi yaitu 0,87 dan menjadikannya sebagai solusi optimal untuk PT OCBC.]]>
<![CDATA[The Effect of Career Development, Non-Financial Compensation, and Transformational Leadership on Organizational Citizenship Behavior (OCB) through Job Satisfaction among Government Employees with Work Agreements (PPPK) at Dinas Bina Marga Cipta Karya dan ]]>
<![CDATA[Ferna Kaswanti]]>;
<![CDATA[Elfiswandi Elfiswandi]]>;
<![CDATA[Jhon Veri]]>
<![CDATA[ International Journal of Informatics, Economics, Management and Science Vol. 5 No. 2 (2026): IJIEMS (August 2026) ]]>
Publisher : <![CDATA[Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta ]]>
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DOI: 10.52362/ijiems.v5i2.2661
<![CDATA[This study aims to analyze the effects of career development, non-financial compensation, and transformational leadership on Organizational Citizenship Behavior (OCB) through job satisfaction as an intervening variable among Government Employees with Work Agreements (PPPK) at the Department of Highways, Human Settlements and Spatial Planning of West Sumatra Province. This quantitative study involved 104 PPPK employees selected using saturated sampling. Data were collected through questionnaires and analyzed using Structural Equation Modeling-Partial Least Square (SEM-PLS) with SmartPLS 4. The results showed that career development, non-financial compensation, and transformational leadership had positive and significant effects on job satisfaction. Career development and non-financial compensation did not have significant direct effects on OCB, while transformational leadership and job satisfaction had positive and significant effects on OCB. Job satisfaction did not mediate the effect of career development on OCB, but positively and significantly mediated the effects of non-financial compensation and transformational leadership on OCB. The R-square values were 0.648 for job satisfaction and 0.558 for OCB. These findings indicate that job satisfaction is an important mechanism for strengthening OCB among PPPK employees.]]>
<![CDATA[Systems Engineering Process Methodology for Machine Learning and Multi-Criteria Decision Making in Early Detection of Neurological Disorders in Infants ]]>
<![CDATA[Muhammad Syaukani]]>;
<![CDATA[Feby Ardianto]]>;
<![CDATA[Taufik Taufik]]>
<![CDATA[ International Journal of Informatics, Economics, Management and Science Vol. 5 No. 2 (2026): IJIEMS (August 2026) ]]>
Publisher : <![CDATA[Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta ]]>
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DOI: 10.52362/ijiems.v5i2.2664
<![CDATA[Early detection of risk abnormalities in infants requires integration of clinical evaluation, multimodal data analysis, and structured data retrieval for decision-making. Conventional approaches rely on manual observation, which is subjective, time-consuming, and difficult to implement at scale. Although Machine Learning (ML) has potential for analyzing movement and clinical data, ML outputs are probabilistic and do not directly represent clinical decisions involving various criteria. This research proposes the System Engineering Process Methodology (SEPM) to integrate ML and Multi-Criteria Decision Making (MCDM) to develop a system that detects early-risk abnormalities in neurological disorders in infants. The proposed methodology consists of six stages, namely Requirements Analysis, System Design, Implementation, Testing, Deployment, and Maintenance. The resulting architecture integrates General Movements (GMs) videos and clinical data from the Electronic Health Record (EHR) and neurological inspection. A 3D Convolutional Neural Network (3D-CNN) is used for video analysis, while XGBoost is used for processing tabular clinical data. The predictive results are further integrated into an AHP–TOPSIS-based MCDM layer for risk stratification. The research results are presented as a mapping of systematic ML and MCDM functions in the SEPM cycle, with SEPM as the system engineering backbone, ML as the analytical engine, and MCDM as the decision engine. This framework provides a methodological runway for developing a Clinical Decision Support tool to support early detection of neurological risk abnormalities in infants.]]>
