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Jurnal Ekonomi, Teknologi dan Bisnis
Published by Al-Makki Publisher
ISSN : 2964903X     EISSN : 29629330     DOI : https://doi.org/10.57185/jetbis
Core Subject : Economy, Science, Engineering,
Astronomy Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering Mechanical Engineering
urnal Ekonomi, Teknologi dan Bisnis (JETBIS) is a double blind peer-reviewed academic journal and open access to social and scientific fields. The journal is published monthly once by Al-Makki Publisher. Jurnal Ekonomi, Teknologi dan Bisnis (JETBIS) provides a means for sustained discussion of relevant issues that fall within the focus and scopes of the journal which can be examined empirically. The journal publishes research articles covering all aspects of Economic, Technology and Business, ranging from Economics, Management, Accounting, entrepreneurship, Business, MSME and Technology that belong to the Economic, Technology and Business context.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 5 Documents
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Search results for , issue "vol. 5 no. 6 (2026): jurnal ekonomi, teknologi dan bisnis" : 5 Documents clear
The Role of The Agricultural Sector in Driving Sustainable Economic Development Ary Andrian; Rudi Bratamanggala
Jurnal Ekonomi, Teknologi dan Bisnis Vol. 5 No. 6 (2026): Jurnal Ekonomi, Teknologi dan Bisnis
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/2ftsk026

Abstract

The agricultural sector plays a strategic role in Indonesia's economic development through its contributions to Gross Domestic Product (GDP), employment absorption, and national food security. This study analyses the role of the agricultural sector in promoting sustainable economic development in Indonesia using secondary data from Statistics Indonesia (Badan Pusat Statistik, BPS) and the Ministry of Agriculture covering the period 2020–2024. A descriptive analysis method is employed to describe the agricultural sector's contribution to the national economy. The results show that the agricultural sector contributed 12.4% to national GDP in 2022, with a value reaching Rp1,134.5 trillion in 2023. The Farmer Terms of Trade (Nilai Tukar Petani, NTP) shows a positive trend, with the highest recorded value of 120.97 in February 2024, indicating improved farmer welfare. Rice production reached 53.63 million tonnes in 2023, with a harvested area of 10.20 million hectares. The agricultural sector has proven to be a resilient economic pillar, particularly during the pandemic period, recording growth of 1.84% in 2021. Agricultural technology development, production diversification, and improvements in competitiveness are identified as key factors in strengthening the agricultural sector's role in sustainable economic development.
Measurement of Soil Thermal Conductivity as A Basis for Selecting Soil Types for Photovoltaic Passive Cooling Systems Abdurrohman; Rindi Wulandari
Jurnal Ekonomi, Teknologi dan Bisnis Vol. 5 No. 6 (2026): Jurnal Ekonomi, Teknologi dan Bisnis
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/fkkmjc39

Abstract

This study aims to measure and analyse the thermal conductivity of clay and sandy soils as potential media for passive cooling systems in photovoltaic modules. A quantitative experimental approach was employed using the Transient Line Heat Source (TLS) method, which utilises the temperature response over time due to a linear heat source. The measurement system was developed using an ESP32 microcontroller integrated with a DS18B20 temperature sensor capable of real-time data acquisition. The results indicate that the system operates in an integrated manner and produces stable data for thermal conductivity calculations. The thermal conductivity of clay soil was found to be 1.133 W/mK at a moisture content of 74.25%, while coastal sandy soil exhibited a higher value of 1.595 W/mK at a moisture content of 81.25%. Sandy soil demonstrated approximately 40.78% higher heat transfer capability compared to clay soil. These findings suggest that, in addition to soil type, moisture content plays a significant role in determining thermal conductivity. Soils with higher moisture content therefore hold greater potential as passive cooling media for enhancing the efficiency of photovoltaic systems.
System Shift Risk, Chokepoint Severity, and Macroeconomic Resilience: Quarter-Level Exploratory Evidence from A Configuration-Based Framework Raymond Rubianto Tjandrawinata
Jurnal Ekonomi, Teknologi dan Bisnis Vol. 5 No. 6 (2026): Jurnal Ekonomi, Teknologi dan Bisnis
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/be88z728

Abstract

This study develops and evaluates the System Shift Economics framework as a configuration-based approach for diagnosing macroeconomic vulnerability and adaptive resilience. The framework proposes that forward-looking macroeconomic outcomes are shaped not only by current status categories, but by the interaction between structural pressure and adaptive capacity. Using 203 quarter-level macroeconomic observations — with forward-looking outcomes available for 199 observations — the study constructs a System Shift Risk Score from seven coded variables: System Condition, Domain Lock, Actor Complexity, Chokepoint Severity, Position Quality, Strategy Quality, and Feedback Maturity. The primary outcomes assessed are four-quarter-ahead GDP loss, crisis status, progression toward adaptive recovery, and overall success. The results provide exploratory support for the framework. Chokepoint Severity significantly predicts both four-quarter-ahead GDP loss and crisis probability. Strategy Quality and Feedback Maturity significantly predict Success and Progression in logistic models. The System Shift Risk Score outperforms the baseline status classification across all outcomes, improving explanatory power for GDP loss and discriminatory performance for crisis, success, and progression. Random Forest feature importance analysis identifies the composite risk score and Feedback Maturity as consistently relevant predictors. Cluster analysis further reveals three theoretically coherent regimes: Adaptive/low-risk, Transitional/medium-risk, and Stagnant/high-risk. The findings suggest that macroeconomic resilience is better understood as a system configuration rather than a static status condition. As the framework is newly operationalised, the evidence should be interpreted as exploratory rather than confirmatory; future validation will require independent samples, robustness checks, and external forecasting benchmarks.
Transformasi Sistem Pengendalian Manajemen di Era Digital: Kajian Kepustakaan mengenai Digitalisasi, Sistem Pengendalian Manajemen, dan Kinerja Organisasi Riska Rahayu; Aceng Abdul Hamid
Jurnal Ekonomi, Teknologi dan Bisnis Vol. 5 No. 6 (2026): Jurnal Ekonomi, Teknologi dan Bisnis
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/3nhcjs13

Abstract

Digital transformation has fundamentally reshaped the way organizations design and operate their Management Control Systems (MCS), yet most prior studies still examine the strategic, behavioral, and digital dimensions of MCS separately, leaving their conceptual interrelation insufficiently mapped. This article aims to map the development of MCS concepts from a classical toward a digital perspective, to analyze the interrelation among the strategic, behavioral, and digital dimensions of contemporary MCS, and to formulate a theoretical proposition regarding the relationship between MCS digitalization and improved organizational performance. This study employs a qualitative approach through library research, with data collected via documentation techniques from relevant journal articles, books, and official institutional reports, and analyzed using content analysis and thematic analysis techniques through data reduction, data display, and conclusion drawing. The findings show that MCS has transformed across four main dimensions (tasks, instruments, organization, and behavior) that can be synthesized into three broader dimensions—strategic control, behavioral control, and digital control—which are interrelated and mutually reinforcing. MCS digitalization is found to be positively associated with improved organizational performance across financial, operational, managerial, and accountability dimensions, although this relationship is contingent and strongly influenced by human resource readiness, technological infrastructure, digital leadership, and organizational culture. This study contributes an integrative three-dimensional framework of digital MCS that may serve as a conceptual foundation for further empirical research as well as for management control practice in the digital era.
Implementasi Website Traffic Analytics sebagai Media Pemantauan Aktivitas Komunikasi Jaringan Internal Perusahaan Ida Farida; Egi Ahmad Baihaqi; Moh Hisyam Hauzaan
Jurnal Ekonomi, Teknologi dan Bisnis Vol. 5 No. 6 (2026): Jurnal Ekonomi, Teknologi dan Bisnis
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/s20zdc17

Abstract

Meningkatnya kompleksitas komunikasi jaringan internal di perusahaan modern menuntut sistem pemantauan real-time untuk menjaga stabilitas operasional dan keamanan. Metode konvensional yang mengandalkan log statis sering gagal mendeteksi anomali secara cepat, sehingga berisiko menimbulkan gangguan layanan. Penelitian ini menghadirkan platform Website Traffic Analytics yang dirancang untuk memantau komunikasi jaringan internal melalui dashboard berbasis web yang terintegrasi. Ditinjau dari jenisnya, penelitian ini merupakan penelitian dan pengembangan (research and development) yang menghasilkan artefak perangkat lunak beserta evaluasinya. Dengan menggunakan metodologi desain dan implementasi, sistem mencakup backend API (Go Fiber dan FastAPI), database (MySQL dan ClickHouse), dan dashboard React.js untuk visualisasi interaktif. Analisis traffic dilakukan melalui statistik deskriptif, evaluasi time-series, dan opsi pembelajaran mesin untuk deteksi anomali, sedangkan evaluasi sistem mencakup uji performa, uji akurasi pemantauan, dan evaluasi pengguna oleh tim IT. Hasil menunjukkan bahwa platform ini efektif menampilkan status perangkat, alert, aktivitas pengguna, dan tools pengujian manual, sehingga admin IT dapat mendeteksi ketidakteraturan dengan cepat, mengoptimalkan penggunaan bandwidth, dan mengelola performa jaringan secara efisien. Pada periode uji coba, sistem hanya membutuhkan penyimpanan sebesar 448 KB pada MySQL dan 34,9 KB pada ClickHouse atau total 482,9 KB untuk satu perangkat yang dipantau, dengan nol alert berstatus terbuka, serta membangkitkan peringatan dini ketika tingkat kegagalan ping berada pada rentang 50-70%. Sistem ini menunjukkan respons real-time, fleksibilitas, dan skalabilitas, memberikan manfaat praktis untuk operasional. Kesimpulannya, traffic analytics berbasis web meningkatkan pemantauan, deteksi anomali, dan pengambilan keputusan jaringan internal.  

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