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IDENTIFIKASI KEBERLANJUTAN USAHATANI SEREH WANGI DI KELURAHAN ANAIWOI KECAMATAN TANGGETADA KABUPATEN KOLAKA Erni Erni; Helviani Helviani; Muhtar Amin; Aan Wilhan Juliatmaja; Yuli Purbaningsih
AGRIBIOS Vol 21 No 1 (2023): JUNI
Publisher : Program Studi Agribisnis Fakultas Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36841/agribios.v21i1.2385

Abstract

Usahatani sereh wangi menjadi salah satu usahatani yang menjadi peranan penting dalam perekonomian masyarakat dan sumber penghasilan utama khususnya bagi Sebagian besar masyarakat di Kelurahan Anaiwoi Kecamatan Tanggetada Kabupaten Kolaka. Penelitian ini bertujuan untuk mengidentifikasi keberlanjutan usahatani sereh wangi. Metode analisis data yang digunakan yaitu deskriptif kualitatif dengan menggunakan model Miles dan Huberman yang terdiri dari tiga tahap yaitu reduksi data, penyajian data dan verifikasi/penarikan kesimpulan. Hasil penelitian ini menyatakan bahwa keberlanjutan usahatani sereh wangi di Kelurahan Anaiwoi Kecamatan Tanggetada Kabupaten Kolaka, termasuk kegiatan usahatani yang continue atau usahatani yang keberlanjutannya sangat baik. Hal tersebut dilihat berdasarkan hasil rata-rata produksi dan pendapatan petani usahatani sereh wangi dalam setiap kali panen, yaitu rata-rata produksi sebesar 84 kg dengan pendapatan sebesar Rp 10.361.000.
PENYULUHAN STRATEGI PEMASARAN BERAS ORGANIK DI DESA LAMEDAI KECAMATAN TANGGETADA KABUPATEN KOLAKA Doddy Ismunandar Bahari; Masitah Masitah; Helviani Helviani; Nursalam Nursalam; Yuli Purbaningsih; Hasbiadi Hasbiadi; Campina Illa Prihantini; Syahri Wahyuni; Dewi Dewi
Batara Wisnu : Indonesian Journal of Community Services Vol. 3 No. 2 (2023): Batara Wisnu | Mei - Agustus 2023
Publisher : Gapenas Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53363/bw.v3i2.192

Abstract

Organic rice has good business opportunities to develop as consumers will get health benefits while producers will get better profits through higher selling prices. The marketing strategy that can be implemented in the marketing of organic rice is to use advances in information technology to promote organic rice, inform about the advantages and benefits of organic rice and obtain market information by using social media and other digital media. Apart from setting up a marketing strategy, it is also necessary to analyze internal factors and external factors. The internal marketing factors are the product mix to be marketed, the price mix, the promotion mix and the sales outlet mix. While the external factors that need to be analyzed are economic force, social, cultural, demographic and environmental forces, political, governmental and legal forces, as well as technological forces
THE DECISION MAKING FOR RICE CONSUMER PURCHASE THE DECISION-MAKING BY THE CUSTOMER IN PURCHASING OF RICE Yuli Purbaningsih; Helviani Helviani; Nursalam Nursalam; Hasbiadi Hasbiadi; Masitah Masitah; A. Mardiana
International Journal of Multidisciplinary Research and Literature Vol. 2 No. 5 (2023): INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY RESEARCH AND LITERATURE
Publisher : Yayasan Education and Social Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53067/ijomral.v2i5.146

Abstract

Especially for rice consumers, the demand for rice is based on a need, desire and ability. In addition to having a decision-making process for buying rice, introducing the need for information seeking, evaluating alternatives, purchasing process and post-purchase behavior. The aim of this study is to determine the post-purchase evaluation results of rice for the first purpose and second purpose to determine the purchasing decision-making process for rice consumers in Lamedai Village, Tanggetada District, Kolaka Regency. The data analysis method used is descriptive using the Engel Model or the EKB Model (Engel, Kollat, Blackwell). The results showed that consumers' rice purchasing decision process consists of five stages: need recognition, information seeking, evaluation of alternatives, purchasing decisions and post-purchase evaluation
UNDERSTANDING AI-DRIVEN INFLUENCER MARKETING Adi Mursalin; Yuli Purbaningsih; Surya Fadjar Boediman; Meli Siagawati; Rainier Hendrik Sitaniapessy
INTERNATIONAL JOURNAL OF HUMANITIES, SOCIAL SCIENCES AND BUSINESS (INJOSS) Vol. 2 No. 3 (2023): SEPTEMBER
Publisher : ADISAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/injoss.v2i3.90

Abstract

AI-driven influencer marketing has emerged as a transformative approach in the digital advertising landscape. This research aimed to explore the efficiency and effectiveness of AI integration in influencer marketing campaigns, comparing it to traditional methods. By employing a mixed-methods approach, including qualitative interviews and quantitative data analysis, the study investigated the impact of AI on influencer selection, campaign performance, and ethical considerations. The findings revealed that AI-driven influencer selection processes significantly outperformed manual methods' accuracy and efficiency. AI algorithms effectively matched influencers with target audiences, increasing engagement rates and brand visibility. The real-time analytics provided by AI tools enabled marketers to make data-driven decisions and optimize campaign strategies on-the-fly. Moreover, AI-optimized influencer campaigns consistently surpassed traditional campaigns in metrics such as reach, impressions, and ROI. The data-backed approach of AI led to more targeted and relevant campaigns, resonating better with the audience and yielding tangible results for businesses. However, ethical considerations regarding algorithmic biases were identified as crucial aspects of AI-driven influencer marketing. Transparent practices and ongoing audits of AI algorithms were emphasized to mitigate biases and ensure ethical influencer selections. Looking ahead, the future of AI for influencer marketing appears promising. Advancements in AI algorithms will lead to even more accurate influencer matches and sophisticated audience insights, fostering hyper-personalized campaigns. By embracing AI technologies responsibly, businesses can connect with their target audiences more effectively and stay ahead in the dynamic realm of digital advertising.
MODEL PENGEMBANGAN USAHA PADA PEMBERDAYAAN MASYARAKAT PENGOLAH GULA AREN MELALUI DIVERSIFIKASI PRODUK OLAHAN GULA AREN DI DESA LAMONDAPE KECAMATAN POLINGGONA KABUPATEN KOLAKA Yuli Purbaningsih; Irsan Rahman; Neks Triani; Syahdar Baba; Muhammad Ihsan Andi Dagong; Hasrin; Zulkhar Naim; Aulia Uswa Noor Khasanah; Arizal Hatam; Muhammad Rizal; Gustia; Rahmat Ari. F; Ikra; Aminah Sagista; La Sisi
Jurnal Abditani Vol. 6 No. 2 (2023): Oktober
Publisher : FAKULTAS PERTANIAN UNIVERSITAS ALKHAIRAAT

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31970/abditani.v6i2.292

Abstract

Potensi ekonomi produktiv di Desa Lamondape ditopang oleh kehadiran kelompok usaha ekonomi salah satunya adalah kelompok usaha gula Aren ‘Guren Lamondape’ merupakan mitra kelompok produktif secara ekonomi. Aktifitas produksi gula aren pada kelompok usaha bahan baku pembuatan gula aren tersedia pada masing-masing anggota kelompok usaha. Pembuatan gula aren membuka peluang usaha yang menjanjikan keuntungan dan layak untuk dikembangkan jika, dikelola dengan baik dan terus-menerus secara profesional serta didukung dengan teknologi pengolahan dan teknologi pemasarannya. Permasalahan kelompok pengolah gula aren yaitu pada bidang produksi dan pemasaran. Kegiatan pemberdayaan Kosabangsa melakukan pelatihan dan pendampingan terkait model pengembangan usaha melalui diversifikasi produk. Hal ini dapat memberikan dampak peningkatan ketrampilan dan pengetahuan tentang upaya memberikan nilai tambah produk gula aren yaitu membuat gula semut aren. Sehaingga keberlanjutan dari kegaitan ini dapat berdampak pada peningkatan pendapatan pelaku usaha gula aren sebagai pengembangan Produk Unggulan Desa (PUD) khususnya untuk komoditi aren dan produk olahan gula aren.