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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 395 Documents
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Analysis of the Effects of Land-Use Changes on Increased Flood Discharge in the Hetuma River Using a Hydrological Approach Unas Tabuni; Mujiati; Bahtiar; Duha Awaluddin Kurniatullah; Bernathius Julison
Jurnal Ekonomi, Teknologi dan Bisnis Vol. 5 No. 8 (2026): Jurnal Ekonomi, Teknologi dan Bisnis
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/paqd3g14

Abstract

Changes in land use due to residential expansion and infrastructure development have increased surface runoff, contributing to higher flood discharge in the Hetuma River, Jayawijaya Regency. This study aimed to analyze the impact of land-use changes on increased flood discharge and develop an optimization model for drainage systems to reduce inundation in Wamena City. The research employed a hydrological approach using the Nakayasu Synthetic Unit Hydrograph (Hidrograf Satuan Sintetis or HSS) method and the Rational Method. The data used included BMKG rainfall records from 2013–2024, topographic data, watershed maps, and land-cover maps from 2015 and 2025. The results showed that forest areas decreased from 217.70 ha to 139.39 ha, while residential areas increased from 177.67 ha to 183.17 ha. These land-use changes increased the runoff coefficient, which subsequently contributed to higher flood discharge. Based on the Nakayasu Synthetic Unit Hydrograph method, the design flood discharge of the Hetuma River reached 20.712 m³/s for the 2-year return period and 26.474 m³/s for the 100-year return period. Meanwhile, the Rational Method results indicated that flood discharge increased from 281.970 m³/s for the 2-year return period to 504.967 m³/s for the 100-year return period. Drainage analysis revealed that several channels in the Hom-Hom area were unable to accommodate runoff discharge due to sediment accumulation and limited channel capacity, requiring channel normalization and dimension improvements. Therefore, land-use changes were proven to contribute to increased flood discharge in the Hetuma River, highlighting the need for land-use management and drainage system optimization to reduce flood risks in Wamena City.
Simplifying Digital Transformation: The Predict–Simulate–Logistics–Execute Governance (PSLE-G) Framework for Operational Decision-Making Novia Angelina Zuraidy
Jurnal Ekonomi, Teknologi dan Bisnis Vol. 5 No. 8 (2026): Jurnal Ekonomi, Teknologi dan Bisnis
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/3y62sf41

Abstract

Digital transformation has become a critical strategic priority for organizations seeking to enhance operational performance, decision-making efficiency, and competitiveness in an increasingly complex business environment. However, despite the rapid adoption of technologies such as artificial intelligence (AI), predictive analytics, automation, and digital platforms, many organizations continue to face challenges in translating digital insights into actionable operational decisions because of fragmented processes, limited employee understanding, and inadequate governance mechanisms. This study aimed to develop the Predict–Simulate–Logistics–Execute Governance (PSLE-G) Framework as a conceptual model for simplifying digital transformation and improving operational decision-making. The study employed a conceptual research approach supported by a systematic literature review of previous studies on digital transformation, operational decision-making, supply chain management, decision intelligence, digital twins, and organizational governance. The literature synthesis indicated that existing frameworks primarily emphasize technological capabilities, optimization functions, and analytical support while providing limited guidance on how employees can systematically translate digital information into coordinated operational decisions. The proposed PSLE-G Framework integrates four interconnected stages—Predict, Simulate, Logistics, and Execute—supported by governance and continuous learning mechanisms. The framework contributes to bridging the gap between digital technologies and day-to-day operational practices by providing a structured approach that may enhance decision consistency, employee adaptability, cross-functional collaboration, and organizational resilience. The study concludes that the PSLE-G Framework provides a practical conceptual foundation for organizations navigating digital transformation and establishes opportunities for future empirical validation across different industries and organizational contexts.
Dilema Etis Kepemimpinan Humanistik di Era AI-Driven Decision Making: Analisis Keseimbangan antara Kecerdasan Buatan dan Intuisi Pemimpin dalam Konteks Organisasi Milenial Vika Fransisca; Wahyu Eko Saputro
Jurnal Ekonomi, Teknologi dan Bisnis Vol. 5 No. 5 (2026): Jurnal Ekonomi, Teknologi dan Bisnis
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/1rz50a21

Abstract

Perkembangan kecerdasan buatan (artificial intelligence/AI) telah meningkatkan efisiensi pengambilan keputusan organisasi, namun sekaligus memunculkan dilema etis bagi pemimpin dalam menjaga keseimbangan antara rekomendasi algoritmik dan nilai-nilai humanistik. Penelitian ini bertujuan menganalisis bagaimana pemimpin generasi milenial menyeimbangkan penggunaan AI dengan intuisi personal dalam pengambilan keputusan strategis serta mengidentifikasi strategi etis yang digunakan untuk menghadapi ketegangan antara logika algoritma dan nilai kemanusiaan. Penelitian menggunakan pendekatan kualitatif deskriptif dengan desain fenomenologis melalui wawancara mendalam terhadap sepuluh informan yang merupakan pemimpin pada organisasi berbasis teknologi di Indonesia. Data dianalisis menggunakan analisis tematik untuk mengidentifikasi pola pengalaman dan praktik kepemimpinan dalam pemanfaatan AI. Hasil penelitian menunjukkan bahwa para pemimpin memandang AI sebagai alat pendukung keputusan, bukan sebagai penentu akhir. Pemimpin mengembangkan strategi berupa refleksi moral, konsultasi kolektif, integrasi rekomendasi AI dengan intuisi kepemimpinan, serta penguatan literasi etika digital guna menjaga akuntabilitas dan nilai kemanusiaan dalam proses pengambilan keputusan. Budaya organisasi yang partisipatif dan inklusif turut memperkuat praktik kepemimpinan yang adaptif. Penelitian ini mengusulkan model kepemimpinan humanistik adaptif sebagai kerangka konseptual dalam mengintegrasikan AI secara etis, sekaligus memberikan implikasi bagi penyusunan kebijakan organisasi dan pengembangan kepemimpinan berbasis teknologi yang tetap berorientasi pada nilai, empati, dan tanggung jawab moral.
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.  
Impact of Digital Transformation on Profitability and Risk Taking: Evidence from Indonesian Commercial Banks for Period 2019 – 2025 RM Rahardjo Satrio Unggul; Dewi Hanggraeni; Indra Kusumawardhana
Jurnal Ekonomi, Teknologi dan Bisnis Vol. 5 No. 8 (2026): Jurnal Ekonomi, Teknologi dan Bisnis
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/bxbe9y21

Abstract

The rapid digital transformation of the banking sector has become a strategic priority globally; however, its financial implications remain inconclusive, particularly in emerging economies. This study examined the relationship between digital transformation and bank performance outcomes, including profitability, risk-taking, and stability, among 45 commercial banks in Indonesia during the 2019–2025 period. Digital transformation was measured using the 20-item Digital Maturity Index (DMI20), which was constructed from annual report disclosures and aligned with the Financial Services Authority (Otoritas Jasa Keuangan [OJK]) regulatory framework. Using a quantitative panel-data regression approach with bank-clustered robust standard errors, this research analyzed unbalanced panel data consisting of up to 315 bank-year observations. The findings showed that digital maturity was not significantly associated with Return on Assets (ROA), Net Interest Margin (NIM), Non-Performing Loans (NPL), or Loan-to-Deposit Ratio (LDR). However, digital maturity exhibited a negative association with Return on Equity (ROE) and a positive association with the Loan-Loss Provision (LLP) ratio at the 10% significance level. Most notably, digital maturity demonstrated a positive and statistically significant relationship with the bank Z-score at the 5% significance level, indicating greater resilience against insolvency risk. These results suggested that the primary financial benefit of digital transformation in the Indonesian banking context was reflected in enhanced stability and risk governance rather than immediate profitability improvements. The study contributed to the literature by providing empirical evidence from an emerging economy using a comprehensive digital maturity measure aligned with regulatory standards. The findings have practical implications for bank management in integrating digital transformation with risk management frameworks and for regulators in developing digital maturity assessment requirements that emphasize substantive disclosure and risk governance. Future research should employ longer observation periods, internal digital investment data, alternative measurement approaches, and mixed-method designs to further validate and extend these findings.

Page 40 of 40 | Total Record : 395

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