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All Journal Jurnal Biologi Tropis Jurnal Agristan Jurnal Ekonomi Jurnal Info Sains : Informatika dan Sains Jurnal Pengabdian Masyarakat Indonesia (JPMI)
Leny Yuliyani
Universitas Siliwangi
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Economics, Econometrics & Finance Immunology & microbiology Social Sciences Other

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SOCIAL MEDIA INFLUENCER IMPLEMENTATION ON CONSUMER PURCHASE INTEREST Eliyanti Agus Mokodompit; Hardi Fardiansyah; Leny Yuliyani
Jurnal Ekonomi Vol. 12 No. 01 (2023): Jurnal Ekonomi, 2023 Periode Januari - Maret
Publisher : SEAN Institute

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Abstract

Technology, such as social media apps, has made communication and relationship building easier. The use of influencers is one of the actors that contributes to the success of digital marketing platforms such as social media. Effective marketing entails keeping products in the forefront of consumers' minds so that they will choose to purchase the products offered. The goal of this research is to determine how digital marketing uses social media influencers to influence consumer purchasing behavior. According to the AISAS flow, micro-influencers, macro-influencers, and mega-influencers can create interesting content that sways the interests of a large number of consumers. The number of likes and comments on influencer accounts can indicate how interested followers are in the account. Influencers can also convey various types of promotions via their visual style and personal language. This is demonstrated by the use of interesting photography and copywriting. The potential for affected netizens to search for products (search), buy products (action), and leave product reviews is obvious, which can have an impact on companies that can promote their products to influencers. Important Instagram statistics and trends for 2022, for example, advertisers could reach 1.440 billion Instagram users in July 2022, ranking it as the world's fourth most 'active' social media platform. Instagram restricts its platform to people aged 13 and up, so knowing that 45.8 percent of the eligible audience in Indonesia is using Instagram in 2022 is useful. As a result, influencer marketing is quickly becoming one of the most popular marketing strategies for influencers, as they can present posts that promote brand image and characteristics, which have a significant impact on consumers.
Potential of Compost and Bio Fertilizer Combination in Improving Growth and Yield of Red Curly Chili Indra Permana; Leny Yuliyani; Panji Rahmatullah; Indra Ardiansyah; Tirta Kumala Dewi; Entis Sutisna
Jurnal Biologi Tropis Vol. 23 No. 3 (2023): July - September
Publisher : Biology Education Study Program, Faculty of Teacher Training and Education, University of Mataram, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbt.v23i3.5004

Abstract

Red curly chili production in Indonesia is currently falling short of expectations. The objective of this research was to evaluate the affectivity of bio fertilizer and compost combination in increasing growth and yield two varieties of red curly chili in Rancamaya, Bogor. Split plot design was used as an experimental design with different variety of red curly chili (OR Twist = V1 and Kencana = V2) as main plot and fertilizer (A = Control without chemical fertilizers + Compost + POH, B = 50% Chemical Fertilizer + Compost + POH, C = 75% Chemical Fertilizer + Compost + POH, D = 100% Chemical Fertilizer + Compost + POH, E = 100% Chemical Fertilizer + manure, F = 100% Chemical Fertilizer) combination as sub plot. The collected data was analysed by using ANOVA with 5% of significancy, a further test is performed using duncan mutiple range test. OR Twist variety showed the highest growth performance on plant height with 26.4 cm (21 DAP), 56.3 cm (35 DAP), and 82.8 cm (DAP) and leave number by 86.8 and 285 leaves at 35 and 39 DAP. The highest cumulative yield of red curly chili was resulted by OR Twist variety from 1st until 5th harvesting period. OR Twist variety and 50% chemical fertilizer treatment with the addition of compost and POH was the best combination in increasing average fruit weight and cumulative of red curly chili at Rancamaya, Bogor.
Training in Data Processing using Smart PLS Software Eliyanti Agus Mokodompit; Kadeni Kadeni; Maria Lusiana Yulianti; Sugianto Sugianto; Leny Yuliyani
JURNAL PENGABDIAN MASYARAKAT INDONESIA Vol. 2 No. 2 (2023): Juni : Jurnal Pengabdian Masyarakat Indonesia (JPMI)
Publisher : Politeknik Pratama Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jpmi.v2i2.2100

Abstract

officers' limitations in their analysis of data at the population and civil registry service in Bandung. The majority of these issues are brought on by the apparatus's lack of knowledge and skill as well as the sparse availability of computers. The sub-district office does not have adequate data storage, and data management and display are not supported by technology. Implementation strategy using coaching and training. The instruction offered takes the form of fundamental knowledge on how to show district population data using Smart PLS. Its operations include instruction and support for using the Smart PLS application in the Cipadung Village to present and process data. To determine how well the trainees understood how to use the Smart PLS program, interviews and questionnaires were administered as part of the service. The customer assistance team provides clear and comprehensive explanations of the data display. The use of this Smart PLS software aids Kelurahan staff in comprehending and processing data. It is beneficial to sub-district authorities in their work with the taught apps.
Utilizing linear regression to forecast the stock price fluctuations of top-rated companies Andi Primafira Bumandava Eka; Asri Ady Bakri; Leny Yuliyani
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 01 (2024): Informatika dan Sains , Edition January - March 2024
Publisher : SEAN Institute

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Abstract

The purpose of this study is to use linear regression to forecast the closing stock price of the top 10 issuers from the LQ45 Index. When it is appropriate to purchase or sell the stock, it is determined by comparing the forecasted close price with the actual stock price. The relationship between independent factors (such past stock prices) and dependent variables (stock prices) is modelled using the linear regression approach. The prediction error rate is then calculated by comparing the expected and actual outcomes using the Root Mean Square Error (RMSE). It is evident from the data that the close stock price's anticipated growth does not consistently rise each month. For this reason, this prediction is crucial in assisting investors in their decision-making. It makes sense to sell the stock if the estimated growth of its closing price is expected to climb; conversely, if the projection is expected to fall, it makes sense to purchase the stock. According to the test findings, the linear regression model is capable of producing precise predictions that help investors decide what to buy on the Indonesian stock market.
KEKUATAN PASAR DALAM PERDAGANGAN BERAS DI KOTA TASIKMALAYA Rudhiana Salam; Januar Arifin Ruslan; Rizki Risanto Bahar; Leny Yuliyani; Dira Asri Pramita; Sawitania Christiany Dwi Utami Boru Situmorang; Dedi Darusman
Jurnal Agristan Vol 5, No 1 (2023): Jurnal Agristan
Publisher : Jurusan Agribisnis, Fakultas Pertanian, Universitas Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/agristan.v5i1.6952

Abstract

Inflation occurs in food prices, especially rice, which is related to price formation at final consumer level. Market institution adjust their behavior in the face of the market structure. This study aims to analyze existence of market power in the formation of rice prices at the end -consumer level. The data used is weekly price of rice according to quality during the 2019 - 2022 period in Tasikmalaya City. Data analysis was performed using error correction model. Results of the analysis show that there is market power in four of the six qualities of rice traded in Tasikmalaya City. Price setting at various price qualities traded at the retail level is also necessary as an effort to prevent significant price changes such as price regulation at the producer level. Keywords: rice, behavior, market power
ANALISIS PROFITABILITAS DAN KELAYAKAN USAHATANI SELADA HIDROPONIK SISTEM NFT (NUTRIENT FILM TECHNIQUE) (STUDI KASUS : RUMAH HIDROPONIK TANJUNGPURA BERDIKARI) Rizki Risanto Bahar; Tenten Tedjaningsih; Candra Nuraini; Rudhiana Salam; Leny Yuliyani
Jurnal Agristan Vol 5, No 1 (2023): Jurnal Agristan
Publisher : Jurusan Agribisnis, Fakultas Pertanian, Universitas Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/agristan.v5i1.6965

Abstract

Di tengah era globalisasi dan perubahan iklim, terdapat berbagai tantangan dalam upaya meningkatkan perekonomian sektor pertanian. Salah satu metode yang dapat diadopsi yaitu pemanfaatan teknologi pertanian modern. Untuk menjawab tantangan dan potensi tersebut, masyarakat Desa Tajungpura melalui kelompok tani RHTB melakukan budidaya selada hidroponik menggunakan sistem NFT pada 23 greehouse dengan 41.000 lubang. Penelitian ini dilaksanakan pada bulan Juli – Desember 2022 di Desa Tanjungpura Kecamatan Rajapolah dengan objek penelitian Kelompok Tani RHTB melalui pendekatan analisis profitabilitas (biaya dan profit) serta kelayakan usahatani (break even point, R/C ratio, dan return of investment). Hasil penelitian rata-rata profit sebesar Rp 25.379.365/bulan, kemudian rata-rata BEP unit setiap bulannya sebanyak 749,98 kg dan BEP rupiah sebesar Rp 8.999.704. Sementara itu, rata-rata R/C ratio diperoleh 2,54 1 dan rata-rata ROI diperoleh 153,67%. Maka dapat disimpulkan bahwa usahatani selada hidroponik kelompok tani RHTB layak untuk diusahakan. Kata kunci: Selada, Hidroponik, Profitabilitas, Kelayakan
Co-Authors Andi Primafira Bumandava Eka Asri Ady Bakri Candra Nuraini, Candra Dedi Darusman Dira Asri Pramita Eliyanti Agus Mokodompit Eliyanti Agus Mokodompit Entis Sutisna Hardi Fardiansyah Indra Ardiansyah Indra Permana Januar Arifin Ruslan Kadeni Kadeni Maria Lusiana Yulianti Panji Rahmatullah Rizki Risanto Bahar Rudhiana Salam Sawitania Christiany Dwi Utami Boru Situmorang Sugianto Sugianto Tenten Tedjaningsih Tirta Kumala Dewi