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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
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.
Articles 5 Documents
Search results for , issue "vol. 5 no. 4 (2026): jurnal ekonomi, teknologi dan bisnis" : 5 Documents clear
Analysis of Social Return on Investment (SROI) at the Pijar Gemilang Community Development Program of PT PLN Nusantara Power Unit Pembangkitan Remban Jayadi Jayadi; Bambang Apriyanto; Edi Saputra; Vernando Pratama Putra; Dimas Aji Prastyo
Jurnal Ekonomi, Teknologi dan Bisnis Vol. 5 No. 4 (2026): Jurnal Ekonomi, Teknologi dan Bisnis
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/mnmvd439

Abstract

Objective of this study is to analyze the social investment impact of the PIJAR GEMILANG Community Development Program implemented by PT PLN Nusantara Power UP Rembang using the Social Return on Investment (SROI) approach. This program represents a waste-based social innovation initiative utilizing dragon fruit waste and FABA waste as raw materials for organic fertilizer and a farmer savings system, located in Trenggulunan Village, Pancur District, Rembang Regency. Methods employed a quantitative approach within the Social Innovation Impact Measurement (SIIM) framework using the SROI method. Data were collected through in-depth interviews with 15 involved stakeholders, field observations, and secondary document studies including strategic planning documents, monitoring and evaluation reports, and community satisfaction indexes. Data analysis proceeded through seven stages: stakeholder identification, program input mapping, outcome determination, impact monetization, present value calculation with discount rates of 6% (2023), 6% (2024), and 4.75% (2025), and SROI ratio calculation. Results indicate that the PIJAR GEMILANG Program involves 15 stakeholders with four primary community groups (KWT Lestari, KTH Parikesit, Pokdarwis PARTA, and BUMDes Unggul Sejahtera). Total investment value during the 2023–2025 period reached IDR 150,912,200, while total benefits generated reached IDR 432,341,526. The SROI ratio obtained was 2.86, meaning that every IDR 1 invested generates IDR 2.86 in social benefits. Tangible program impacts include 16.3 tons of waste managed (81.09%), increased income for KWT Lestari members of IDR 25,650,000 per year, the SERUNI farmer savings system valued at IDR 104,775,000, dragon fruit picking tourism income of IDR 72,000,000 per year for 15 farmers, and bokashi fertilizer savings of IDR 4,788,000.
Analysis of Soil Heat Propagation Properties for Determining the Optimal Soil Type in Passive Photovoltaic Cooling Systems Abdurrohman Abdurrohman; Rindi Wulandari
Jurnal Ekonomi, Teknologi dan Bisnis Vol. 5 No. 4 (2026): Jurnal Ekonomi, Teknologi dan Bisnis
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/a0webg44

Abstract

Rising photovoltaic (PV) module operating temperature substantially reduces conversion efficiency, motivating passive, low-cost cooling strategies that avoid extra electrical energy consumption. Grounding-based passive cooling, using surrounding soil as a heat-dissipating medium, offers a promising alternative; however, prior studies have mostly characterized soil thermal properties in isolation rather than directly comparing soil types under a unified, real-time measurement protocol relevant to PV cooling. This study aims to analyze and compare the thermal conductivity of clay and coastal sandy soil as candidate passive-cooling media, while examining how moisture content and pH influence heat propagation. A quantitative experimental approach was employed using the Transient Line Heat Source (TLHS) technique, implemented through an ESP32 microcontroller integrated with a DS18B20 temperature sensor and a soil moisture/pH probe for automatic, real-time data acquisition. The system operated stably in an integrated manner, producing consistent temperature-time data for conductivity calculation. Results showed clay had an average thermal conductivity of 1.133 W/mK at 74.25% moisture content, while coastal sandy soil reached 1.595 W/mK at 81.25% moisture content, an increase of about 40.78%, indicating moisture content, alongside soil type, is a key determinant of heat propagation. These findings imply soils with higher natural moisture retention are more promising passive-cooling media, offering practical guidance for designing low-cost, energy-independent cooling solutions for tropical, ground-coupled PV installations.
Mengelola Perubahan dan Manajemen Stres dalam Organisasi: Sebuah Kajian Literatur dalam Perspektif Perilaku Dan Budaya Organisasi Nia Aghniyatul Ilmi; Muhammad Naufal Harits; Eka Febrian Nugraha; Lili Karmela Fitriani
Jurnal Ekonomi, Teknologi dan Bisnis Vol. 5 No. 4 (2026): Jurnal Ekonomi, Teknologi dan Bisnis
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/42n4sb79

Abstract

Perubahan organisasi merupakan fenomena yang tidak dapat dihindari akibat dinamika lingkungan bisnis yang terus berkembang, mulai dari perkembangan teknologi, pergeseran pasar, hingga tuntutan daya saing. Di sisi lain, proses perubahan kerap memunculkan tekanan psikologis atau stres kerja yang, apabila tidak dikelola dengan tepat, dapat menurunkan kinerja dan kesejahteraan karyawan. Penelitian ini bertujuan mengkaji secara konseptual keterkaitan antara manajemen perubahan dan manajemen stres dalam organisasi melalui pendekatan tinjauan literatur (literature review). Metode yang digunakan adalah deskriptif-kualitatif dengan menelaah berbagai sumber pustaka relevan, meliputi teori perubahan model Kurt Lewin, model delapan langkah John Kotter, serta konsep manajemen stres pada level individu dan organisasi. Hasil kajian menunjukkan bahwa keberhasilan implementasi perubahan sangat dipengaruhi oleh kemampuan pemimpin dalam mengomunikasikan visi secara jelas, melibatkan karyawan dalam proses perubahan, serta menyediakan pelatihan dan dukungan manajerial yang konsisten. Selain itu, stres kerja yang timbul akibat proses perubahan dapat diminimalkan melalui kombinasi strategi individu, seperti olahraga, manajemen waktu, dan istirahat yang cukup, dengan strategi organisasi, seperti penciptaan lingkungan kerja yang sehat, dukungan sosial, program kesejahteraan, dan fleksibilitas kerja. Kajian ini menyimpulkan bahwa organisasi yang mampu mengintegrasikan manajemen perubahan dengan manajemen stres secara simultan akan lebih siap membangun budaya organisasi yang adaptif, resilien, dan berkelanjutan.
Android-Based Student Attendance Information System Using Real-Time Notification to Parents at Mts Wasilatul Huda Sukadana, East Lampung Maulana Ihsan; Imam Mualim; Nuari Anisa Sivi
Jurnal Ekonomi, Teknologi dan Bisnis Vol. 5 No. 4 (2026): Jurnal Ekonomi, Teknologi dan Bisnis
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/m12fk710

Abstract

Student attendance recording at MTs Wasilatul Huda Sukadana, East Lampung, is currently managed manually using paper-based attendance books, resulting in delayed attendance recapitulation, the risk of document loss, and the absence of real-time communication with parents. Consequently, parents often remain unaware of their children's attendance status until the end of the semester, reducing opportunities for timely intervention. This study aims to develop an Android-based student attendance information system integrated with real-time parental notifications. The system was developed using the Software Development Life Cycle (SDLC) with the Waterfall model, including requirements analysis, UML-based system design, implementation using Flutter, Laravel RESTful API, MySQL, and Firebase Cloud Messaging (FCM), followed by Black Box Testing. The developed application enables teachers to record attendance through manual input or QR-code scanning, while parents instantly receive notifications containing attendance status, recording time, and remarks. Testing of 24 functional features achieved a 100% validity rate. Notification performance evaluation across 50 simulated attendance events showed a 100% delivery success rate with an average latency of 2.3 seconds. The average time for parents to receive attendance information decreased from several hours to less than five seconds. The study concludes that the system significantly enhances the timeliness, accuracy, and transparency of attendance communication between schools and parents, while supporting more effective monitoring of student attendance.  
Explainable Lightweight CNN for On-Device Rice-Leaf Disease Detection in Indonesian Smallholder Farms Rafi Farizki; Rani Santika; Vo Hung Cuong
Jurnal Ekonomi Teknologi dan Bisnis (JETBIS) Vol. 5 No. 4 (2026): Jurnal Ekonomi, Teknologi dan Bisnis
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/hmavwp42

Abstract

Background: Rice is the primary staple food crop in Indonesia, yet leaf diseases—including bacterial blight, blast, and brown spot—cause annual yield losses of 10–30%, disproportionately affecting smallholder farmers who lack timely access to plant-pathology expertise; unreliable rural connectivity further limits cloud-based diagnostic tools. High-capacity convolutional neural networks deliver strong accuracy but are too large and slow for low-cost devices, and their opaque predictions undermine farmer trust. Objective: This study designs and evaluates RiceLeaf-Edge, an explainable and lightweight convolutional neural network for on-device rice-leaf disease detection that operates fully offline. Methods: Following Design Science Research methodology, a compact depthwise-separable student network was trained with knowledge distillation from a high-capacity teacher and compressed via INT8 post-training quantization; a Grad-CAM visual explanation module was integrated and evaluated on a rice-leaf dataset comprising five classes (healthy and four disease categories, n = 3,355 images). Results: RiceLeaf-Edge achieved 97.3% accuracy and 97.0% macro-F1—within 0.8 percentage points of the heavy baseline (98.1%) at only 8.9 MB and 34 ms on-device latency versus 92.4 MB and 164 ms for the heavy baseline. Explanations were faithful (insertion score 0.87; deletion score 0.18) with 92.6% symptom agreement. Conclusion: The framework demonstrates that trustworthy, deployable agricultural diagnosis is achievable at the edge on commodity hardware, offering a transferable recipe for edge AI in low-connectivity settings.

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