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All Journal Jurnal Bioleuser Jurnal Sistem Informasi HUMANITIS : Jurnal Humaniora, Sosial dan Bisnis Akuntabel: Jurnal Ilmiah Akuntansi
Eka Puspita Sari
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Religion Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Public Health Social Sciences

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Identifikasi Tumbuhan di Sempadan Sungai Krueng Lamnyong Provinsi Aceh Eka Puspita Sari; Iqbar Iqbar; Dahlan Dahlan
Jurnal Bioleuser VOL 3, NO 1 (2019): April 2019
Publisher : Department of Biology, Faculty of Mathematics and Natural Sciences, University of Syiah Ku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/j. bioleuser.v0i0.18813

Abstract

Penelitian ini bertujuan untuk mengidentifikasi tumbuhan, mengetahui jumlah dan jenis tumbuhan, Indeks Nilai Penting dan Indeks Keanekaragaman Jenis (H ) tumbuhan di sempadan Sungai Krueng Lamnyong. Penelitian ini menggunakan purposive sampling. Pengambilan data analisis vegetasi dilakukan pada tiga stasiun, yaitu stasiun I di bagian hulu, stasiun II di bagian tangah dan stasiun III di bagian hilir. Identifikasi jenis tumbuhan dilakukan di Laboratorium Herbarium Acehense Jurusan Biologi, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Syiah Kuala. Hasil Penelitian analisis vegetasi di sempadan Sungai Krueng Lamnyong diperoleh sebanyak 4326 individu/0.72 Ha atau setara 6008,3 individu/Ha yang terdiri dari 50 jenis dan 23 suku. Indeks keanekaragaman jenis (H ) vegetasi di sempadan Sungai Krueng Lamnyong berdasarkan tingkat pertumbuhan pada setiap stasiun menunjukan tingkat keanekaragaman jenis yang berbeda.
Penerapan Metode Nueral Network dan Particle Swarm Optimization (PSO) untuk Prediksi Penjualan Bahan Kimia Asri Wahyuni; Narti Narti; Eka Puspita Sari
Jurnal Sistem Informasi Vol 7 No 2 (2018): JSI Periode Agustus 2018
Publisher : LPPM STMIK ANTAR BANGSA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (447.291 KB) | DOI: 10.51998/jsi.v7i2.280

Abstract

AbstractË—Ë— Many chemical production companies are competing to continue producing mainly Hydrated Lime chemicals. Hydrated Lime is used to mix paper making one of them. The development of paper marketing is now progressing rapidly, hence the company makes a great opportunity in the production of Hydrated Lime chemicals. An increase in the number of paper mills not accompanied by the supply of Hydrated Lime chemicals may result in scarcity. In this case will encourage the company continues to increase its production volume to meet growing consumer demand. Prediction is a source of information that can be used by companies to prepare themselves in determining the strategy for the future better. In this study, predicted sales of Hydrated Lime with Neural Network method and Particle Swarm Optimization (PSO) optimization to predict time series data, so as to minimize RMSE value. From the test results obtained the average mean Root Mean Square Error (RMSE) Neural Network based Particle Swarm Optimization (PSO) with 7 neurons of 1.279. Intisari- Banyak perusahaan produksi bahan kimia yang bersaing untuk terus memproduksi bahan kimia terutama Hydrated Lime. Hydrated Lime digunakan untuk campuran pembuatan kertas salah satunya. Perkembangan pemasaran kertas saat ini semakin maju pesat, maka dari itu perusahan menjadikan suatu peluang yang besar dalam produksi bahan kimia Hydrated Lime. Pertambahan jumlah pabrik kertas yang tidak disertai dengan supply bahan kimia Hydrated Lime sehingga bisa terjadi kelangkaan. Dalam hal ini akan mendorong perusahaan terus meningkatkan volume produksinya untuk memenuhi permintaan konsumen yang semakin hari semakin besar. Prediksi merupakan sumber informasi yang dapat digunakan oleh perusahaan untuk mempersiapkan diri dalam menentukan strategi ke depan yang lebih baik. Pada penelitian ini, dilakukan prediksi penjualan Hydrated Lime dengan metode Neural Network dan optimasi Particle Swarm Optimization (PSO) untuk memprediksi data time series, sehingga dapat meminimalkan nilai RMSE. Dari hasil pengujian didapatkan nilai rata-rata Root Mean Square Error (RMSE) terkecil Neural Network berbasis Particle Swarm Optimization (Pso) dengan 7 neuron sebesar 1.279. Kata Kunci: Neural Network, Particle Swarm Optimization (PSO), Prediksi Penjualan, Time Series
DASAR-DASAR PENGEMBANGAN KURIKULUM Eka Puspita Sari; Nurhafiza, Nurhafiza; Rati Rania; Sylvi Carolia
HUMANITIS: Jurnal Homaniora, Sosial dan Bisnis Vol. 3 No. 5 (2025): Mei
Publisher : ADISAM PUBLISHER

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Abstract

Curriculum development is a process that plans, produces a better tool based on the results of an assessment of the existing curriculum, so as to provide better teaching and learning cinditions. In other words, curriculum development is an activity to produce a new curriculum through the steps of curriculum preparation based on the results of assessments carried out during a certain period.
Pengaruh Tingkat Pendidikan, Umur Usaha Dan Skala Usaha Pelaku UMKM Terhadap Penggunaan Informasi Akutansi Eka Puspita Sari; Ida Ayu Nursanty; Rusli Amrul
Akuntabel: Jurnal Ilmiah Akuntansi Vol. 2 No. 3 (2024): Vol. 2 No. 3 Juni 2024
Publisher : Lembaga Pengembangan, Penelitian dan Pengabdian Kepada Masyarakat (LP3M) Sekolah Tinggi Ilmu Ekonomi AMM (STIE AMM) Mataram

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Abstract

Information so it can be decided thatthe level of education does not have a This study aims to determine the effect of the owner’s education level on the use of accounting informasion, to determine the effect of business age on the use of accounting information and to determine the effect of knowledge on the use of accounting information.the variables in this research are education level, business age and business scale.The population used in this research is all UMKM in batulayar district,west lombok.samles are taken using sampling. Data was obtained by distributing questionnaires to respondents in the UKM area in Batu layar sub-district.This research uses multiple linier analysis. The result of this research are thas business scale has a positive and significant of the use of accounting informaion.so it can be decided that business scale has a significant influence on the determinants of the use of accounting information among UMKM in batulayar subdistrict, Business age has no effect on the determinants of the use of accounting information. So it can be decided that the age of the business has no significant of the use of accounting information among UMKM in batulayar subdistrict and the level of education has a negative and significant effect on the determinants of the use of acounting significant influence on the determinants of the use of accounting information in UMKM in Batu layar.
Co-Authors Amrul, Rusli Asri Wahyuni Ida Ayu Nursanty Iqbar Iqbar Narti Narti Nurhafiza, Nurhafiza Rati Rania RR. Ella Evrita Hestiandari Sylvi Carolia