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All Journal JURNAL BISNIS STRATEGI BAREKENG: Jurnal Ilmu Matematika dan Terapan J-AKSI : JURNAL AKUNTANSI DAN SISTEM INFORMASI Hexagon
Eka Ardiansyah, Eka
Program Studi Teknologi Hasil Perikanan Fakultas Pertanian Universitas Sriwijaya, Indralaya, Ogan Ilir 30662 Sumatera Selatan Telp./Fax. (0711) 580934
Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Engineering Environmental Science Mathematics Mechanical Engineering Physics Social Sciences Transportation

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ANALYSIS OF THE EFFECT OF CALCINATION AND SULFURIC ACID (H2SO4) CONCENTRATION ON THE POMALAA NICKEL ORE LEACHING PROCESS, SOUTHEAST SULAWESI Emsal Yanuar; Rahmat Bukahri, La Ode; Bahtiar, Syamsul; Hidayat, Syamsul; Sudirman; Ardiansyah, Eka
Hexagon Jurnal Teknik dan Sains Vol 5 No 2 (2024): HEXAGON - Edisi 10
Publisher : Fakultas Teknologi Lingkungan dan Mineral - Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36761/hexagon.v5i2.4580

Abstract

Analisis pengaruh konsentrasi larutan asam sulfat (H2SO4) dan suhu kalsinasi terhadap persen ekstraksi nikel dari bijih nikel Pomalaa menggunakan metode hidrometalurgi telah berhasil dilakukan. larutan pelindi yang digunakan pada penelitian ini adalah H2SO4 0.5 M, 2 M dan 4 M, sementara suhu kalsinasi bijih nikel diroasting pada suhu 350oC, 450oC dan 550oC. Bijih nikel didestruksi menggunakan larutan aqua regia untuk menganalisis kadar total nikel dalam bijih dan diperoleh kadar nikel sekitar 6.5429%. Berdasarkan hasil penelitian, persen ekstraksi nikel tertinggi diperoleh sekitar 70.850% pada sampel yang dikalsinasi 550oC dengan kondisi reaksi larutan pelindian H2SO4 2 M, rasio padat cair 1/20 (S/L) waktu pelindian sekitar 240 menit. Persen ekstraksi biji nikel tidak menunjukkan pengaruh yang signifikan ketika kondisi reaksi menggunakan H2SO4 4 M untuk ektraksi nikel. Sementara ketika larutan pelindiannya menggunakan asam H2SO4 0.5 M menunjukkan terjadi peningkatan persen ekstraksi nikel seiring meningkatnya suhu kalsinasi. Hal ini dibuktikan dengan adanya peningkatan ekstraksi nikel dari 28% pada sampel tanpa dikalsinasi menjadi 52% ketika bijih nikel dikalsinasi pada suhu 550oC. Hasil ini menunjukkan bahwa persen ekstraksi nikel sangat dipengaruh oleh perlakuan kalsinasi bijih nikel ketika diektraksi menggunakan asam sulfat konsetrasi rendah, namun ketika menggunakan H2SO4 dengan konsetrasi tinggi tidak memberikan pengaruh yang signifikan.
INTEGRATING GREEN PRODUCT INNOVATION AND AI IN BUSINESS STRATEGIES FOR COMPETITIVE ADVANTAGE: A STUDY OF INDONESIAN'S FUTURE Ardiansyah, Eka
JURNAL AKUNTANSI DAN SISTEM INFORMASI Vol 6 No 1 (2025): Edisi Februari 2025
Publisher : Program Studi Akuntansi Fakultas Ekonomika dan Bisnis Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/j-aksi.v6i1.12893

Abstract

This study delves into the synergy between green product innovation and artificial intelligence (AI) as a key to enhancing the competitive advantage of companies in Indonesia. A total of 15 manufacturing and retail companies were studied using a mixed methods approach, the results obtained showed that although awareness of the importance of both aspects is increasing, there are still a number of challenges in implementing an effective AI strategy. One of the main obstacles lies in the level of understanding of the workforce, where 75% of the data obtained indicated that AI users are not yet fully able to utilize the potential of this technology to increase sales. However, it is undeniable that the application of artificial intelligence can have a positive impact in terms of operational efficiency, resource management, and the development of more environmentally friendly products. Ultimately, this study is expected to provide valuable insights for companies in Indonesia that are ambitious to integrate green product innovation and artificial intelligence. The emphasis on the importance of intellectual capital is a crucial aspect to achieve this goal. These findings are expected to enrich the understanding of how companies in Indonesia can remain competitive in the global market while supporting sustainable practices, in order to achieve future success.
Integrating Green Product Innovation and AI in Business Strategies for Competitive Advantage: A Study of Indonesian's Future Ardiansyah, Eka
JURNAL BISNIS STRATEGI Vol 34, No 1 (2025): July
Publisher : Magister Manajemen, Fakultas Ekonomika dan Bisnis Undip

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jbs.34.1.11-20

Abstract

This study examines the integration of green product innovation and artificial intelligence (AI) within business strategies in Indonesia, aiming to identify how companies can leverage these elements for competitive advantage. Through a mixed-methods approach, combining qualitative interviews with industry experts and quantitative surveys of business practitioners, the research highlights the pressing need for sustainable practices amid Indonesia's unique environmental challenges. Findings indicate that a significant majority of businesses recognize the importance of green innovation and AI; however, there exists a notable gap in the effective implementation of AI strategies. Barriers, such as a lack of skilled labor and regulatory complexities, hinder progress. Despite these challenges, the integration of AI can enhance operational efficiencies, resource management, and the development of eco-friendly products, which align with consumer preferences for sustainability. The findings provide actionable insights for Indonesian firms seeking to harmonize green product innovation and AI, emphasizing the role of intellectual capital in facilitating this integration. Ultimately, this research contributes to a deeper understanding of how Indonesian businesses can maintain competitiveness while advancing sustainable practices essential for future market success.
FORECASTING MODEL OF ONIONS IN SUMBAWA DISTRICT Susilawati, Tri; Darmawan, Indra; Ardiansyah, Eka; Adlimi, Arsil
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 1 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (302.466 KB) | DOI: 10.30598/barekengvol17iss1pp0505-0512

Abstract

Sumbawa Regency as the second largest shallot producing area in NTB certainly contributes to food security in Sumbawa Regency in particular and in Indonesia in general. This condition certainly needs to make policy makers predict crop yield growth for the following years. This study aims to predict shallot yields for the next 9 years. The data used is secondary data sourced from the Sumbawa District Agriculture Office. There are three trend forecasting methods used, namely least square method, quadratic and exponential trend models. Based on the calculation results, the best forecasting trend model is obtained, namely the exponential trend model with MAPE and MAD values ​​and the largest coefficient of determination (R2). The exponential trend obtained shows a positive trend, namely positive exponential values ​​and positive principal numbers
Co-Authors Adlimi, Arsil Bahtiar, Syamsul Darmawan, Indra Rahmat Bukahri, La Ode Sudirman Susilawati, Tri SYAMSUL HIDAYAT Yanuar, Emsal