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Pendampingan Sertifikasi Halal Produk Bagi Pelaku Usaha Di Desa Sambak, Kabupaten Magelang Reni Eka Septiani; Dinar Melani Hutajulu; Jihad Lukis Panjawa; Lorentino Togar Laut; Patricia Meita Vara Angelina; Serly Dita Rizkyna Sari
Suluh Abdi Vol. 8 No. 1 (2026): Suluh Abdi
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM), Universitas Muhammadiyah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32502/suluhabd.v8i1.1411

Abstract

Desa Sambak merupakan desa di Kabupaten Magelang dengan potensi ekonomi besar melalui pengembangan produk olahan pangan. Produk-produk olahan pangan tersebut sebagian besar diproduksi oleh ibu-ibu yang tergabung dalam Kelompok Wanita Tani dan Bank Sampah. Permasalahan yang dihadapi adalah belum adanya sertifikasi halal pada produk yang dihasilkan sehingga menimbulkan hambatan dalam memperluas pasar. Hal ini menjadi tantangan pelaku usaha untuk memenuhi standar yang semakin diperhatikan konsumen, terutama konsumen yang mempertimbangkan kehalalan produk dalam keputusan pembelian. Program pendampingan sertifikasi halal dirancang sebagai upaya mengatasi masalah tersebut dengan tujuan utama memberi dukungan dan bantuan bagi Usaha Mikro, Kecil, dan Menengah (UMKM) untuk mendapatkan sertifikasi halal produk. Tujuan khusus program ini antara lain, memberikan edukasi tentang urgensi sertifikasi halal bagi pengembangan UMKM, memudahkan akses proses sertifikasi halal, dan meningkatkan nilai kompetitif UMKM. Metode yang dilakukan untuk melaksanakan kegiatan ini yaitu metode sosialisasi, pendampingan, dan diskusi. Hasil dari pendampingan menunjukkan bahwa sebanyak 8 produk dari 7 pelaku usaha resmi terdaftar dalam proses sertifikasi halal
The Effectiveness of Economic Growth on Regional Expenditure in Central Java Province Maulida Dewi Pangestika; Jeane Fransina Diana Talakua; Retno Febriyastuti Widyawati; Reni Eka Septiani
Efficient: Indonesian Journal of Development Economics Vol. 8 No. 2 (2025)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/efficient.v8i2.22647

Abstract

Regional spending plays a strategic role in supporting economic development. This study analyzes the factors influencing regional spending in regencies and cities in Central Java Province using panel regression with five variables: effectiveness ratio, population, government assistance, HDI, and economic growth. Data from 2015-2022 were sourced from BPS and The Ministry of Finance. Spatial data were visualized using GIS-based mapping to illustrate fiscal self-sufficiency across regions. The results show that population size, HDI, and government assistance significantly affect regional spending. While the effectiveness ratio and economic growth are not significant. Spatial reveal that cities such as Semarang, Magelang, and Surakarta demonstrate higher fiscal independence, while regencies like Brebes remain highly dependent on central transfers. These findings suggest that improving human development and increasing local revenue capacity, especially in less developed regencies, are key strategies to enhance fiscal independence and promote regional economic resilience.
Reka: Asisten AI Marketing Generatif Berbasis WhatsApp untuk UMKM Indonesia Menggunakan Pendekatan Design Science Research Satrio Tegar Sadewo; Reni Eka Septiani; Aditya Kumala Dewi
Journal of Digital Technology and Computer Science Vol. 3 No. 3 (2026): August 2026
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/dtcs.v3i3.1131

Abstract

Purpose – Micro, Small, and Medium Enterprises (MSMEs) in Indonesia face difficulty producing digital marketing content consistently due to limited human resources and digital literacy, while existing generative AI applications still demand high technical skills and switching between platforms. This study aims to design, build, and evaluate "Reka," a WhatsApp-based AI marketing assistant that integrates generative AI for text and images into a single end-to-end conversation flow. Method – The study uses a Design Science Research approach. The system was built on the n8n architecture and Google Gemini with a rule-based NLU pipeline to handle natural-language input across seven functional modules. The evaluation involved 27 respondents who ran eleven usage scenarios through Black Box Testing, the System Usability Scale (SUS), and the Perceived Content Quality Evaluation (PCQ). Findings – The evaluation showed a Black Box Testing weighted success rate of 85.4%, an SUS score of 68.80 (Grade C/Marginal Acceptable), and a PCQ score of 3.81 out of 5.00. Nine semantic bug cases were also found, categorized into three patterns. Research Implications – Reka demonstrates initial feasibility as a WhatsApp-based AI marketing assistant prototype in a controlled testing environment, with noted room for improvement in visual quality and the content-revision feature. Further validation with actual MSME operators is still needed, given that the respondents in this study were students role-playing as owners of fictitious MSMEs. Originality – This study integrates generative AI for text and images into a single end-to-end WhatsApp conversation flow to produce MSME marketing content, encompassing seven functional modules within one system.