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Keanekaragaman Insekta pada Tanaman Cengkeh di Gampong Meunasah Beutong Kecamatan Lhoknga Kabupaten Aceh Besar Intan Maulina; M Ali Sarong; Devi Syafrianti
Jurnal Ilmiah Mahasiswa Pendidikan Biologi Vol 1, No 1 (2016): Agustus 2016
Publisher : Jurnal Ilmiah Mahasiswa Pendidikan Biologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (104.579 KB)

Abstract

Penelitian yang berjudul “Keanekaragaman Insekta pada Tanaman Cengkeh di Gampong Meunasah Beutong Kecamatan Lhoknga Kabupaten Aceh Besar” telah dilakukan pada bulan Desember 2015 s.d Maret 2016. Penelitian ini bertujuan (1) Untuk mengetahui keanekaragaman insekta pada tanaman cengkeh di Gampong Meunasah Beutong Kecamatan Lhoknga Kabupaten Aceh Besar, (2) Untuk mengetahui komposisi spesies insekta yang menguntungkan dan merugikan pada tanaman cengkeh di Gampong Menasah Beutong Kecamatan Lhoknga Kabupaten Aceh Besar. Jenis penelitian yang digunakan adalah jelajah serta observasi langsung pada tanaman cengkeh. Pengambilan sampel dilakukan secara Purposive Sampling. Analisis data dilakukan secara kuantitatif yaitu dengan mengunakan rumus  indeks keanekaragaman oleh Shannon-Weiner (H’). Hasil penelitian diketahui tingkat keanekaragaman sebesar 5.56 dengan katagori tinggi dan komposisi spesies insekta menguntungkan sebesar 8,90% dan komposisi spesies insekta merugikan sebesar 91,10% pada kedua stasiun pengamatan pagi dan malam. Kesimpulan adalah (1) Tingkat keanekaragaman spesies insekta pada perkebunan cengkeh adalah tinggi. (2) Komposisi spesies insekta yang menguntungkan lebih sedikit dibandingkan dengan komposisi spesies insekta merugikan pada perkebunan cengkeh di Gampong Meunasah Beutong Kecamatan Lhoknga Kabupaten Aceh Besar.
Dampak Anggaran Biaya Operasional terhadap Profitabilitas Perusahaan Muammar khadafi; Saidatun Nuri; Intan Maulina; Rikeniateni Rikeniateni; Munasarah Munasarah
MENAWAN : Jurnal Riset dan Publikasi Ilmu Ekonomi Vol. 3 No. 1 (2025): Januari : MENAWAN: Jurnal Riset dan Publikasi Ilmu Ekonomi
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/menawan.v3i1.1030

Abstract

This study examines the impact of operational cost budgeting on company profitability in Indonesia through a literature review approach. Analysis of various studies over the past decade reveals a significant positive relationship between effective operational cost budget management and increased profitability. However, this relationship is complex and influenced by factors such as the optimal point of budget control, management information systems, and external conditions like the COVID-19 pandemic. Variations across industry sectors were also found, with the manufacturing sector showing the strongest correlation. This research identifies best practices in budgeting as well as implementation challenges in Indonesia. These findings provide important implications for financial management practices and open directions for further research in the context of Indonesia's dynamic business environment.
THE IMPACT OF ARTIFICIAL INTELLIGENCE (AI) ON SYSTEMS MANAGEMENT INFORMATION Ulya Salsabila; Intan Maulina; Rayyan Firdaus
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 4 No. 4 (2025): MARCH
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijset.v4i9.894

Abstract

This study aims to systematically examine the impact of artificial intelligence (AI) on management information systems (MIS). Using the literature review method, relevant scientific articles, industry reports, and case studies are analyzed to identify trends, benefits, challenges, and potentials of AI in the context of MIS. The results of the analysis show that AI has a significant positive impact on operational efficiency, service personalization, and data-driven decision making. However, challenges such as the need for competent human resources, data security risks, and initial investment costs need to be managed properly. Future trends are toward the adoption of cloud-based AI platforms and more transparent and ethical AI technologies. This study provides comprehensive insights for academics and practitioners in understanding and implementing AI in management information systems.