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All Journal Jurnal Paradigma Ekonomika Jurnal Ilmiah Ekonomi dan Bisnis Jurnal Ilmiah Universitas Batanghari Jambi Jurnal Akuntansi dan Ekonomika Syntax Literate: Jurnal Ilmiah Indonesia IJEBD (International Journal Of Entrepreneurship And Business Development) Jurnal Ilmiah Professional Indonesia Eksis: Jurnal Ilmiah Ekonomi dan Bisnis Journal on Education Jambura Agribusiness Journal JURNAL EKONOMI SAKTI (JES) JURNAL LENTERA BISNIS Jurnal Ilmiah Edunomika (JIE) Edu Cendikia: Jurnal Ilmiah Kependidikan Arus Jurnal Sosial dan Humaniora Journal Of Human And Education (JAHE) Jurnal Teknologi dan Manajemen Industri Terapan Innovative: Journal Of Social Science Research West Science Business and Management Journal of Information System, Technology and Engineering Jurnal Pengabdian Masyarakat dan Riset Pendidikan Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam RESLAJ: Religion Education Social Laa Roiba Journal Journal of Ekonomics, Finance, and Management Studies Indonesian Journal of Innovation Multidisipliner Research INTERNATIONAL JOURNAL OF SOCIETY REVIEWS (INJOSER)
Heppi Syofya, Heppi
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PENGARUH PERTUMBUHAN EKONOMI, TINGKAT PENDIDIKAN, DAN PERTUMBUHAN PENDUDUK TERHADAP TINGKAT KEMISKINAN DI INDONESIA Boari, Yoseb; Syofya, Heppi; Agustina, Ika; Rohman, Mohamad Fathur; Irawaty, Rosalia
JURNAL ILMIAH EDUNOMIKA Vol. 8 No. 2 (2024): EDUNOMIKA
Publisher : ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/jie.v8i2.13762

Abstract

Abstrak Kemiskinan sudah ada sejak lama, namun hingga saat ini masih menjadi permasalahan yang dihadapi oleh setiap bangsa, khususnya negara berkembang seperti Indonesia. Indikator kemiskinan di Indonesia dapat dilihat dari akses terhadap pendidikan, ketersediaan lapangan kerja dan upah yang layak, ketimpangan pendapatan. Penelitian ini bertujuan untuk mengetahui pengaruh pertumbuhan ekonomi, tingkat pendidikan dan laju pertumbuhan penduduk terhadap tingkat kemiskinan di Indonesia tahun 2019-2023. Data penelitian ini merupakan data sekunder yang bersumber dari Badan Pusat Statistik (BPS). Metode yang digunakan adalah regresi. Data sekunder diolah dengan menggunakan teknik analisis regresi dengan bantuan software SPSS . Hasil penelitian menunjukkan bahwa tingkat pendidikan berpengaruh negatif dan signifikan terhadap tingkat kemiskinan di Indonesia tahun 2019-2023, sedangkan pertumbuhan ekonomi dan pertumbuhan penduduk berpengaruh positif dan signifikan terhadap tingkat kemiskinan di Indonesia tahun 2019-2023. Kata Kunci: Pertumbuhan Ekonomi, Pertumbuhan Penduduk, Tingkat Pendidikan
DEVELOPMENT OF A BLOCKCHAIN MODEL THROUGH A DISTRIBUTION LOGISTICS SYSTEM, PRODUCT QUALITY MONITORING, AND FARMER PARTICIPATION ON THE VALUE ADDED OF COFFEE COMMODITY IN KERINCI DISTRICT Syofya, Heppi
JURNAL ILMIAH EDUNOMIKA Vol. 8 No. 2 (2024): EDUNOMIKA
Publisher : ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/jie.v8i2.14238

Abstract

With an emphasis on how these elements collectively effect the value added of coffee in Kerinci District, Jambi, Indonesia, this study investigates how a blockchain model is established inside the distribution logistics system and how it affects farmer participation and product quality monitoring. The sample of 185 diverse participants who offered their viewpoints included coffee producers, wholesalers, processors, and consumers. Using Structural Equation Modeling with Partial Least Squares (SEM-PLS), the study assessed the model's effectiveness. Results reveal a well-rounded demographic profile with positive attitudes on the blockchain model, distribution logistics, product quality tracking, and farmer involvement. Although significant positive correlations were found in the structural model, the measurement model demonstrated strong validity and reliability. Based on the overall goodness-of-fit indices, which indicate a satisfactory fit, the model accounts for 61% of the variance in the value added of coffee. By highlighting the critical role that technological breakthroughs, efficient logistics, quality control, and farmer involvement have in increasing total value, the results add to the body of knowledge on coffee supply chains. Keywords: Blockchain, Distribution Logistics System, Product Quality Monitoring, Farmer Participation, Value Added, Coffee Commodity, Kerinci District
EXPORT AND IMPROVING THE QUALITY OF LIBERICA COFFE AS A STRATEGYTO IMPROVE THE WELFARE OF JAMBI PROVINCE COFFE FARMERS Syofya, Heppi; Ayunilaras, Ayunilaras
JURNAL ILMIAH EDUNOMIKA Vol. 8 No. 3 (2024): EDUNOMIKA
Publisher : ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/jie.v8i3.14580

Abstract

Abstract Agriculture is an important sector for Indonesia. Because around 30% of the population works in the agricultural industry. Based on data from the United States Department of Agriculture (USDA), global coffee production will reach 170 million per 60 kg of coffee in the 2022-2023 period. Indonesia is listed as the 3rd largest coffee producing country in the world in 2022-2023, having produced 11.85 million coffee. Indonesia is the largest producer and exporter of coffee in Asia, this can be an indication that coffee plants play an important role in the national economy both in terms of financing development and employment opportunities. Jambi Province is one of the coffee producers in Indonesia. Nationally, Jambi Province is in 13th position with a planting area of 25,576 Ha and total production of 12,168 kg. The number of farmers cultivating coffee in Jambi was recorded at 26,704. Coffee productivity in Jambi Province is relatively high, recorded at 812 Kg/Ha, higher than the national average productivity of 736 Kg/Ha. Liberika coffee actually has high economic potential because Liberika coffee products are starting to be liked by consumers because of their distinctive taste. This research is qualitative research with a descriptive approach. Researchers use research data in the form of secondary data obtained from a number of credible sources such as scientific articles, books and a number of other sources that are credible and commonly used in research. These data were analyzed using analytical tools with stages of data collection, data selection, data reduction and drawing conclusions. Keywords: Coffee, Export, Liberica Coffee, West Tanjung Jabung
The Influence of Intrinsic Motivation, Adoption of AI in Learning and Self-Efficacy on Academic Achievement Citra Siwi Hanayanti; Mozart Malik Ibrahim; Lazuardy Alief; Anugriaty Indah Asmarany; Rinovian Rais; Heppi Syofya
Edu Cendikia: Jurnal Ilmiah Kependidikan Vol. 5 No. 02 (2025): Research Articles, August 2025
Publisher : ITScience (Information Technology and Science)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/educendikia.v5i02.5847

Abstract

This study aims to analyse the influence of intrinsic motivation, adoption of artificial intelligence (AI) in learning, and self-efficacy on the academic achievement of high school students. More understanding is needed regarding the psychological and technological aspects that affect students' ability to learn, along with the digital revolution that is currently taking place in education. Analysis of 100 high school student respondents who completed a survey became the basis for this quantitative study. Multiple linear regression methods were used to analyse data collected through questionnaires that had been tested for validity and reliability. This study shows that students' academic achievement is positively influenced by intrinsic motivation. Students who use AI technologies such as virtual tutors and adaptive learning applications have better academic results than those who do not. This is one of the positive outcomes of integrating AI into the learning process. Self-efficacy, a mediating variable, strengthens the relationship between intrinsic motivation and academic achievement. This highlights the importance of self-belief in supporting the effectiveness of learning driven by internal motivation. These findings emphasise the importance of developing learning strategies that arouse students' intrinsic motivation, strengthen self-efficacy, and encourage optimal utilisation of AI technology. The implications of this study provide recommendations for schools, educators, and policymakers to integrate innovative approaches that support technology adaptation and student psychological strengthening to improve academic achievement in the digital era.
Collaboration Between The Regional Government, Local Msmes, And Local Influencers In Maximizing Jambi's Economic Potential Heppi Syofya; Novic Diwi Pernanda
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 2 No. 3 (2023): Jurnal Teknologi dan Manajemen Industri Terapan
Publisher : Yayasan Inovasi Kemajuan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55826/jtmit.v4i3.1461

Abstract

Jambi Province has significant economic potential, particularly in agribusiness, cultural and nature-based tourism, and the unique products of local Micro, Small, and Medium Enterprises (MSMEs). However, this potential is often not optimally utilized due to classic challenges in terms of market penetration, weak digital branding, and coordination between stakeholders. This study analyzes the urgency and effectiveness of the Collaborative Triple Helix model involving the Regional Government (Regulator and Facilitator), Local MSMEs (Producers), and Local Influencers (Digital Marketing Catalysts) in creating a synergistic and sustainable economic ecosystem in Jambi. The main objectives of this study are to identify the most effective collaboration mechanisms to (1) increase the exposure of Jambi products and destinations through social media, (2) strengthen the branding capabilities of MSMEs, and (3) increase sales volume and tourist visits. Using a qualitative-descriptive approach involving in-depth interviews with representatives of the three parties, this study proposes a digital platform-based collaboration model. Initial findings indicate that local influencers play a crucial role as a bridge of trust between MSME products and millennial/Gen Z audiences. In contrast, local governments must shift from mere regulation to a digital incubator and cross-sectoral coordinator. The conclusion emphasizes that intensifying this collaboration is key to accelerating Jambi's digital economy.
Socialization of the Use of Google Gemini to Improve the Quality of Teaching and Learning, the Quality of Financial Management, and the Quality of Marketing of MSMEs in Indonesia Muhamad Irfan Florid; Melvianus Selan; Fransiskus Dwikotjo Sri Sumantyo; Heppi Syofya; Tarjono
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 3 (2026): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 3 (Januari 202
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i3.5200

Abstract

This community service program aims to accelerate the adoption of Generative Artificial Intelligence technology through the socialization of the use of Google Gemini in four strategic regions of Indonesia. Implementation was carried out specifically at the University of North Sumatra (Medan) to represent the Sumatra cluster, the National Industrial Design Center (Yogyakarta) for the Java cluster, the Integrated Business Service Center/PLUT-KUMKM (Pontianak) for the Kalimantan cluster, and Makassar Digital Valley (Makassar) for the Sulawesi cluster. This program targets three main pillars: increasing the efficiency of teaching tools for educators, digitizing independent financial reports, and optimizing marketing copywriting for MSMEs. The methods used were participatory workshops and technical assistance. Evaluation results showed that the use of Google Gemini was able to reduce administrative time for educators by up to 60% and significantly improve the quality of MSME digital promotional content. This program proves that equalizing AI literacy across Indonesia's major islands is key to strengthening economic competitiveness and the quality of national education
The Influence of Political Decisions on Bitcoin Prices with Good Corporate Governance as A Moderating Variable Rieneke Ryke Kalalo; Hugo Prasetyo Winotoatmojo; Wiljan Atfentia Kotngoran; Heppi Syofya; I Gusti Made Riko Hendrajana
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 4 No. 3 (2025): Jurnal Teknologi dan Manajemen Industri Terapan
Publisher : Yayasan Inovasi Kemajuan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55826/jtmit.v4i3.1640

Abstract

This study examines the impact of political decisions on Bitcoin price volatility, with Good Corporate Governance (GCG) as a moderating variable. While Bitcoin is often perceived as a decentralized asset independent of government control, empirical evidence suggests that regulatory announcements, geopolitical tensions, and national legal tenders significantly influence market sentiment and price fluctuations (Aditya & Wijaya, 2024). This research utilizes a quantitative approach with secondary data from 2020 to 2025, capturing major political shifts and global economic policies. The analysis focuses on how the quality of corporate governance within major institutional holders of Bitcoin moderates the transmission of political shocks to asset prices. Preliminary findings indicate that political decisions regarding restrictive regulations tend to decrease prices, whereas institutional adoption backed by strong GCG frameworks serves as a buffer against extreme volatility. This study contributes to the literature on digital asset management and provides strategic insights for investors and policymakers in navigating the complex intersection of global politics and financial technology.
The Influence of Digital Supply Chain Agility, Digital Cultural Transformation, and Sustainable Innovation on Digital Revenue Resilience in the MSME Sector Gai, Ardiyanto Maksimilianus; Apramilda, Riesna; Hamdany, Mohammad Azharie; Syofya, Heppi; Yusnanto, Tri; Defitri, Siska Yulia
Journal of Information System, Technology and Engineering Vol. 4 No. 1 (2026): JISTE
Publisher : Yayasan Gema Bina Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61487/jiste.v4i1.291

Abstract

Micro small and medium enterprises need to overcome difficulties which diminish their financial success through digital economy benefits which create new business opportunities. The researchers of this study investigate how digital supply chain agility and digital cultural transformation together with continuous innovation impact digital revenue resilience which exists within the MSME sector. The researchers of this study implement their research through a quantitative method which uses an explanatory framework. The research data were obtained by distributing questionnaires to 160 MSME respondents who have adopted digital technology in their business activities using a purposive sampling technique. The researchers used multiple linear regression analysis to examine data after they conducted validity testing and reliability testing together with classical assumption testing. The study shows that digital supply chain agility and digital cultural transformation together with continuous innovation create positive effects which help organizations achieve digital revenue resilience. Digital supply chain agility enhances operational flexibility and product distribution systems because organizations use digital cultural transformation to adopt digital technologies. Continuous innovation enables organizations to develop products and services which better satisfy changing market needs thus improving their business competitiveness. The study results provide business practitioners with guidance which helps them develop digital business strategies that sustain their organizations through changing times.
The Urgency of Free Health Service Policy in Increasing Indonesia's Human Development Index Aceng Ali Awaludin; Restu Widyo Sasongko; Pande Ayu Naya Kasih Permatananda; Heppi Syofya; Untung Gunawan
Reslaj: Religion Education Social Laa Roiba Journal Vol. 7 No. 5 (2025): RESLAJ: Religion Education Social Laa Roiba Journal
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/reslaj.v7i5.8111

Abstract

This study is a qualitative study with a descriptive approach, namely an approach that details one by one using descriptive text on each main topic used in this article, including Health, Human Development Index, and Free Health Check Policy. The data used in this study are secondary data that researchers obtain from second sources or indirect sources. Although obtained from indirect sources, researchers still select the research sources obtained and it can be ensured that the sources used by researchers are reliable. The research sources used in this study include books, scientific articles, magazines, and various other sources used in each study. The data obtained were analyzed by the stages of data collection, data reduction, data selection, and drawing conclusions.
Analisis Faktor yang Mempengaruhi Produktivitas dan Kesejahteraan Petani Kopi di Indonesia Heppi Syofya
El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam Vol. 6 No. 2 (2025): El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/elmal.v6i2.7129

Abstract

This study aims to see what factors affect the productivity and welfare of coffee farmers in Indonesia. The data analysis method used to calculate all the data that has been obtained using multiple linear regression analysis with the help of SPSS. This study shows the factors that affect the productivity of coffee farmers, namely capital, labor, land area, technology and experience. Based on the results of the analysis, 5 variables of capital, labor, land area, technology, and farming experience were found simultaneously, influencing the productivity and welfare of coffee farmers in Indonesia.
Co-Authors Aceng Ali Awaludin Ade Risna Sari Ade Risna Sari Afdhal Chatra Agus Sunatha Putra Anita Bawaiqki Wandanaya Anshar Daud Anthoneta Telsy Waelauruw Anugriaty Indah Asmarany Ardiyanto Maksimilianus Gai Arifhan Ady Dj Audisty Prana Hardayu Aulia Arif Nasution Awalauddin Ayunilaras, Ayunilaras Azkia, Muhamad Barlian Barlian, Barlian Basnendar Herry Prilosadoso Basri Basri Belani, Sri Wanti Boari, Yoseb Citra Siwi Hanayanti Deni Gunawan Deni Gunawan Dewi Maharani Dian Indah Sari Ellyana Amran Enang Dwisefianto Esty Pudyastuti Eva Desembrianita Eva Yuniarti Utami Evi Sirait Fahrizal, Effan Farida Akbarina Fransiskus Dwikotjo Sri Sumantyo Gunawan, Untung Haeril Haeril Haeril, Haeril Hamdany, Mohammad Azharie Hanasi, Raihan A. Harjoni Harjoni Haryadi - hendra gustomi Hendra, Joni Herawati Herawati Hugo Prasetyo Winotoatmojo I Gusti Made Riko Hendrajana ika agustina Ika Agustina Irawaty, Rosalia Iwan Harsono Joice Siahaya Judijanto, Loso Julinta Paulina Junaidi Junaidi Kushariyadi Lazuardy Alief Leonora Ferdinandus Liestyowati Liestyowati Lisbet Situmorang Lisbet Situmorang Luluk Yuliati Maharani, Dewi Mahmudin, Tono Maidelwita, Yani Misidawati, Dwi Novaria Mohamad Fathur Rohman Mohammad Sawir Mozart Malik Ibrahim Muhamad Azkia Muhamad Irfan Florid Muhammad Ade Kurnia Harahap Muhammad Fikri Maulana Mulastih, Listiana Sri Musran Munizu Nasrudin Nasution, Abdillah Arif Nasution, Abdillah Arif Nasution, Aulia Arif Ningsih, Tri Widyastuti Novic Diwi Pernanda Nur Faliza Nuralam Nursyam, Aisyah Pande Ayu Naya Kasih Permatananda Paulus Laratmase Paulus Nong Wisang prama widayat, prama Prihadyatama, Ardila Rachmawati Novaria Rachmawati Novaria Rais, Rinovian Ratih Primandari, Novegya Restu Widyo Sasongko Ridwan Sya’rani Ridwan Sya’rani Rieneke Ryke Kalalo Riesna Apramilda Rika Lidyah Rinovian Rais Rizal R. Manullang Rohmah , Umdah Aulia Rohman, Mohamad Fathur Rosalia Irawaty Rosalina Andriyani Ebang Pareira Rosdiana Saeful Amin, Saeful Selan, Melvianus Shintia Sirait, Evi Siska Yulia Defitri Siti Hodijah Smita Catur Sudyantara Soegeng Wahyoedi Suroso Suroso Suseno Hendratmoko Suseno Hendratmoko Syamsul Efendi Syofya, Heppi Heppi T, Najdah Tania Dwika Putri, Tania Dwika Tarjono Tri Widayati Tri Yusnanto Wiljan Atfentia Kotngoran Wylda Olivia Kowey Yohanes Paulus Luciany Yoseb Boari Yudha Adytya Pertywy