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Pembuatan Website Kelompok Usaha Perhutanan Sosial (KUPS) Register Lima dan Pelatihan Pemanfaatannya dalam Mendukung Pemasaran Produk Kopi Agroforestry Putra, Yusran Panca; Oktoyoki, Hefri; Faradik, Mela; Paulina, Maria
Jurnal Pengabdian Arumbai Vol 1 No 2 (2023)
Publisher : Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/arumbai.vol1.iss2.pp79-83

Abstract

Training on the use and creation of websites for Social Forestry Business Groups (KUPS) has the main objective of empowering KUPS members in managing and utilizing online platforms as effective marketing tools. With a focus on agroforestry coffee marketing, this training aims to increase visibility and market access for KUPS products. The methods used are: 1) Designing and creating the Website; 2) conducting training on website management and utilization for KUPS Register Lima members in Tebat Village, Pulau Rejang Lebong. The results of the community service show that this training has had a positive impact on members' marketing capabilities, supported local economic growth, and overall strengthened KUPS's contribution to the agroforestry sector.
Pembuatan Website Kelompok Usaha Perhutanan Sosial (KUPS) Register Lima dan Pelatihan Pemanfaatannya dalam Mendukung Pemasaran Produk Kopi Agroforestry Putra, Yusran Panca; Oktoyoki, Hefri; Faradik, Mela; Paulina, Maria
Jurnal Pengabdian Arumbai Vol 1 No 2 (2023)
Publisher : Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/arumbai.vol1.iss2.pp79-83

Abstract

Training on the use and creation of websites for Social Forestry Business Groups (KUPS) has the main objective of empowering KUPS members in managing and utilizing online platforms as effective marketing tools. With a focus on agroforestry coffee marketing, this training aims to increase visibility and market access for KUPS products. The methods used are: 1) Designing and creating the Website; 2) conducting training on website management and utilization for KUPS Register Lima members in Tebat Village, Pulau Rejang Lebong. The results of the community service show that this training has had a positive impact on members' marketing capabilities, supported local economic growth, and overall strengthened KUPS's contribution to the agroforestry sector.
Analisis Bibliometrik Penelitian terkait Cyberloafing tahun 2019-2024 Putra, Okka Adittio; Putra, Yusran Panca; Pranatha, Hananda Fitra
PARETO : Jurnal Ekonomi dan Kebijakan Publik Vol. 7 No. 2 (2025): PARETO
Publisher : Fakultas Ekonomi Universitas Prof. Dr. Hazairin, SH. Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32663/b0k8x990

Abstract

Cyberloafing, atau penggunaan internet untuk tujuan pribadi selama jam kerja, telah menjadi perhatian yang semakin besar dalam dunia penelitian, khususnya di bidang manajemen, psikologi organisasi, dan perilaku kerja. Penelitian ini bertujuan untuk mengkaji sejauh mana perkembangan penelitian tentang cyberloafing. Data diambil dari google scholar sebanyak 500 artikel selama lima tahun terakhir dengan kata kunci “cyberloafing”. Analisis menggunakan aplikasi VOSviewer untuk mengevaluasi tren publikasi, kolaborasi antar peneliti dan klasterisasi kata kunci. Hasil penelitian menunjukan adanya peningkatan selama lima tahun terakhir tentang publikasi cyberloafing terutama di Indonesia. Pola kolaborasi peneliti terlihat sudah baik, dan dikemudian hari masih bisa untuk dikembangkan lagi.studi ini juga berpeluang meningkat dan bisa dikembangkan lagi di masa yang akan datang dikarenakan peran teknologi yang semakin berkembang dan membuat efek kecanduan bagi pekerja generasi z bahkan sampai generasi alpha yang memang sudah hidup dengan teknologi sejak dini. Rekomendasi ini diharpkan bisa menjadikan acuan bagi instansi atau perusahaan agar bisa menjadikan Tindakan cyberloafing untuk meningkatkan kinerja karyawan di kemudian hari
Systematic Literature Review on the Convergence of Business Process Management and Process Mining Putra, Yusran Panca; Novrian, Willi; Putra, Okka Adittio
Indonesian Journal of Computer Science and Engineering Vol. 2 No. 01 (2025): IJCSE Volume 02 Number 02, November 2025
Publisher : CV. Cendekiawan Muda Sriwijaya

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Abstract

Although Business Process Management (BPM) and Process Mining (PM) have been extensively studied as distinct domains, limited research has systematically explored their convergence. this study presents a Systematic Literature Review (SLR) on the convergence between Business Process Management (BPM) and Process Mining (PM), focusing on journal publications indexed in SpringerLink from 2020 to 2025. The review aims to map current research trends, identify how PM techniques support the BPM lifecycle, and explore the main benefits and challenges of their integration within organizational contexts. Using the PRISMA methodology and the PICOS framework, thirteen high-quality studies were systematically analyzed. The findings reveal that BPM and PM are increasingly interdependent—BPM provides a structured lifecycle for continuous improvement, while PM introduces data-driven insights through process discovery, conformance checking, and performance monitoring. PM strengthens each phase of the BPM lifecycle by enhancing process transparency, real-time monitoring, and evidence-based decision-making. However, integration remains challenged by data quality issues, limited governance mechanisms, insufficient management support, and tool usability constraints. The study concludes that successful BPM–PM convergence requires not only technical advancements but also organizational readiness and strategic alignment. Future research should emphasize cross-organizational and longitudinal approaches to develop comprehensive frameworks for embedding process intelligence within digital transformation initiatives.
Segmentation of Problematic Loan Customers Using The K-Means Clustering Algorithm to Support Strategic Decision-Making (Case Study: Bank Mega Finance Bengkulu) Novrian, Willi; Afriani, Annisa; Sari, Julia Purnama; Putra, Yusran Panca
Indonesian Journal of Computer Science and Engineering Vol. 2 No. 01 (2025): IJCSE Volume 02 Number 02, November 2025
Publisher : CV. Cendekiawan Muda Sriwijaya

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Abstract

This study analyzes 5,305 records of non-performing loan customers from Bank Mega Finance Bengkulu using the K-Means Clustering algorithm within the CRISP-DM framework. Based on variables such as tenure, outstanding balance, installment amount, and payment delay duration, the analysis identified three customer risk clusters (high, medium, and low) with a Davies-Bouldin Index (DBI) of 0.201, indicating good clustering quality. The segmentation results can help determine collection priorities, loan restructuring, and risk mitigation strategies, demonstrating the effectiveness of data mining in supporting strategic decision-making in banking risk management.