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All Journal MANAJEMEN HUTAN TROPIKA Journal of Tropical Forest Management Jurnal Manajemen dan Organisasi Jurnal Manajemen dan Agribisnis Jurnal Sosio Ekonomika Bisnis JURNAL SISTEM INFORMASI BISNIS Jurnal Manajemen Teknologi Techno.Com: Jurnal Teknologi Informasi TELKOMNIKA (Telecommunication Computing Electronics and Control) JAM : Jurnal Aplikasi Manajemen Indonesian Journal of Business and Entrepreneurship (IJBE) Jurnal Aplikasi Bisnis dan Manajemen (JABM) E-Journal Journal of Consumer Science Jurnal Manajemen Teori dan Terapan Journal of Information Systems Engineering and Business Intelligence Cosmogov: Jurnal Ilmu Pemerintahan Proceeding of the Electrical Engineering Computer Science and Informatics International Research Journal of Business Studies (E-Journal) Agregat: Jurnal Ekonomi dan Bisnis Journal of Regional and Rural Development Planning Jurnal Organisasi Dan Manajemen Buletin Ilmiah Litbang Perdagangan JURNAL MANAJEMEN INDUSTRI DAN LOGISTIK Applied Information System and Management Petir Aptisi Transactions on Technopreneurship (ATT) International Journal of Business Studies Jurnal Ilmiah Manajemen Kesatuan Journal of Applied Data Sciences Business Review and Case Studies International Journal of Engineering, Science and Information Technology Indonesian Journal of Multidisciplinary Science AGRARIS: Journal of Agribusiness and Rural Development Research Asian Journal of Social and Humanities International Research Journal of Business Studies

Arif Imam Suroso

School Of Business, IPB University, Jl. Raya Pajajaran, RT.03/RW.06, Babakan, Kecamatan Bogor Tengah, Kota Bogor, Jawa Barat 16128

Author-ID : 394661

Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation

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EVALUATION OF E-LEARNING IMPLEMENTATION IN THE UNIVERSITY USING DELONE AND MCLEAN SUCCESS MODEL Seliana, Neni; Suroso, Arif Imam; Yuliati, Lilik Noor
Jurnal Aplikasi Manajemen Vol. 18 No. 2 (2020)
Publisher : Universitas Brawijaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jam.2020.018.02.15

The objectives of this study are to analyze lecturers'perceptions of the implementation of e-learning, evaluate the success of the implementation of e-learning, and analyze the factors that influence and lead to the successful implementation of e-learning in Faculty of ABC in XYZ University. This research used quantitative research. The population involved in this study was lecturers of the Faculty of ABC at XYZ University who implement e-learning. This study used Delone and McLean success model. Data analysis techniques used were descriptive and Structural Equation Modeling (SEM) SMART PLS 2.0. The sampling technique used was accidental sampling. This study involved 46 lecturers as the sample using Slovin's formula, with a significance level of 10%. Data were collected using questionnaires rated with a Likert scale. The results showed that lecturers' perceptions towards the implementation of e-learning were very good. The highest achievement in its application was found at the level of effectiveness and then followed by a semantic level and technical level. Factors that influence successful implementation of elearning include information quality, use, and user satisfaction with e-learning systems implemented.

Price Prediction of Aglaonema Ornamental Plants Using the Long Short-Term Memory (LSTM) Algorithm Sugiarti, Yuni; Suroso, Arif Imam; Hermadi, Irman; Sunarti, Euis; Yamin, Fadhilah Bt Mat
Journal of Applied Data Sciences Vol 6, No 2: MAY 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i2.640

The Aglaonema ornamental plant is a horticultural commodity with high economic value and promising prospects. It is well known for its attractive leaf variations, earning it the nickname "Queen of Leaves." However, unpredictable price fluctuations make investing in Aglaonema speculative and high-risk. This research aims to predict the price of Aglaonema over the next five years using the Long Short-Term Memory (LSTM) algorithm. LSTM is considered superior to other algorithms in handling time series data. The model's performance was evaluated using Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and Mean Absolute Error (MAE) on a weekly Aglaonema price dataset covering the period from January 2012 to December 2023. The results demonstrate that the LSTM algorithm can predict Aglaonema prices with high accuracy, as indicated by the following metrics: MSE: 0.005 – Represents the average squared difference between predicted and actual prices. A lower MSE indicates higher model accuracy. RMSE: 0.07-RMSE provides a more interpretable error measurement as it retains the same units as the original data. A low RMSE signifies that the model's predictions closely align with actual values. MAE: 0.04 – Measures the absolute average difference between predicted and actual prices. A lower MAE value reflects a smaller prediction error. Thus, this research makes a significant contribution to the development of a machine learning-based price prediction system for the ornamental plant industry.

Factors Influencing E-Commerce Purchases of Halal Cosmetics: A UTAUT2 Approach Meta, Fildza Shabrina; Suroso, Arif Imam; Nurhalim, Asep
Jurnal Aplikasi Bisnis dan Manajemen Vol. 11 No. 2 (2025): JABM Vol. 11 No. 2, May 2025
Publisher : School of Business, Bogor Agricultural University (SB-IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17358/jabm.11.2.536

Background: The rapid growth of information technology has transformed business activities, particularly through e-commerce, which facilitates seamless transactions between producers and consumers. In Indonesia, internet penetration reached 78.19% in 2023, driving demand for halal cosmetics online and necessitating insights into consumer behavior to enhance market reach and trust.Purpose: This study identifies factors impacting consumer intentions in purchasing halal cosmetics online utilizing an extended UTAUT2 model with a Trust variable.Design/Methodology/Approach: This study utilizes a quantitative survey design to gather 260 responses from e-commerce users who purchase halal cosmetics. Structural Equation Modeling-Partial Least Squares (SEM-PLS) analyzed the relationship among variables.Findings: All performance expectancy, social influence, facilitating conditions, hedonic motivation, price value, habit, and trust are significant factors influencing the consumer intention and behavior. Among these, habits emerged as the most influential factor, indicating that habitual use is instrumental to the formation of purchasing behaviors.Conclusion: Based on these findings, it further suggests that the e-commerce platforms should put great effort into building consumer trust via robust security systems, thorough technical support, as well as personalized, fun shopping to ultimately help the halal cosmetics market to prosper.Originality/Value (State of the Art): This study incorporates Trust into the UTAUT2 model to improve understanding of strategies that will optimize halal e-commerce. Keywords: consumer behavior, e-commerce, halal cosmetics, trust, UTAUT2

Challenges of Implementing Knowledge Management Systems in Agribusiness for Aglaonema Farmers Sugiarti, Yuni; Suroso, Arif Imam; Hermadi, Irman; Sunarti, Euis; Yamin, Fadhilah Bt Mat
Applied Information System and Management (AISM) Vol 8, No 1 (2025): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v8i1.44074

Aglaonema plants have become an important element in people's lives, serving as home decorations and sources of income. Aglaonema cultivation is increasingly popular, opening up business opportunities for farmers. This plant is not just a hobby but a horticultural commodity with high economic value. This research aims to analyze the difficulties faced by Aglaonema farmers, from seedling to marketing. This research uses a constructivist paradigm and qualitative methods, involving 20 informants from among farmers, traders, buyers, extension workers, and farmer organizations. Data were collected through interviews, focus group discussions, and observations, with triangulation to validate the information. Data analysis was conducted using the NVivo application. The research results show that the main difficulties faced by Aglaonema farmers include unpredictable price fluctuations, limited varieties, weak communication among farmers, traditional seedling methods, and a lack of information about seed supply. These findings emphasize the need for information sharing between farmers and stakeholders to improve productivity and quality in agribusiness, in line with consumer demands and technological advancements, which can be implemented through a knowledge management system platform in the Aglaonema agribusiness supply chain.

Evaluating The Development of Leadership Competencies of Telecommunication Project Managers : A Scenario Planning Approach Misbahuddin; Mohammad Syamsul Maarif; Arif Imam Suroso; Yunus Triyonggo
Agregat: Jurnal Ekonomi dan Bisnis Vol. 9 No. 1 (2025)
Publisher : Universitas Muhammadiyah Prof. DR HAMKA.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/agregat_vol9.i1/17864

The future of project management in the telecommunications industry is not just a distant possibility but a rapidly approaching reality. Driven by unprecedented technological advancements and a complex project environment, this transformation is imminent. This paper explores the development of leadership competencies among project managers in this volatile landscape through a combination of transactional and transformational leadership styles in facing future challenges. Using a scenario planning methodology, the author identifies critical drivers through a PESTLE analysis. The author then employs a 2x2 matrix to categorize environments based on two key uncertainties in the telecommunications industry: project complexity and technological uncertainty. This results in a Telecommunications Project Scenario Matrix, consisting of four future scenarios, namely Stability, Complexity, Innovation, and Disruption Quadrants. These scenarios present distinct challenges and opportunities for project managers, ultimately shaping the leadership competencies required for success in combining transactional and transformational styles. The analysis suggests five leadership development actions. This insight will be valuable for academics and project management practitioners in the telecommunications industry.

MORATORIUM ON OIL PALM: ECOLOGICAL RECOVERY OR ECONOMIC SLOWDOWN? Maesaroh, Syti Sarah; Suroso, Arif Imam; Pahan, Iyung
Jurnal Aplikasi Manajemen Vol. 16 No. 1 (2018)
Publisher : Universitas Brawijaya, Indonesia

The aims of this study are to determine the factors that affect the moratorium policy and its effect on the national production of palm oil. This study used an in-depth interviewwithpairwise comparison questionnaire to experts. Data were analyzed using Analytical Network Process (ANP),consisting of three stages (model construction, model quantification, and analysis). The results showed that law enforcement, sustainability, conflict resolution, deforestation and land conversion were factors that influence the success of the moratorium. The various problems in these factors indicate that the moratorium cannot be done optimally. During sixyears of its implementation, the moratorium impactson the sustainability of palm oil production in Indonesia.Evaluation of moratorium is needed by using quantitative data. Forest deforestation due to oil palm plantation can be used to support the policy analysis.

Comparative Study on the Implementation of Knowledge Management Systems for Aglaonema Farmers: A Structured Method and UML Object Approach Sugiarti, Yuni; Suroso, Arif Imam; Hermadi, Irman; Sunarti, Euis
International Journal of Engineering, Science and Information Technology Vol 5, No 3 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i3.953

Aglaonema farming holds significant economic potential, but challenges in knowledge management often hinder farmers' productivity. Knowledge Management Systems (KMS) provide effective solutions for managing knowledge efficiently. This study aims to conduct a comparative analysis of KMS implementation for aglaonema farmers using a structured method and an object-oriented method with the Unified Modeling Language (UML). The research methodology includes identifying farmers' needs, developing systems using both approaches, conducting functionality testing, and performing a comparative analysis based on effectiveness, efficiency, and ease of use. The study's results indicate that the object-oriented approach with UML offers greater flexibility in development and adaptation to changing user needs. At the same time, the structured method provides stability within a well-defined system. User evaluations reveal a preference for UML-based systems, particularly in supporting dynamic knowledge access and integrating market price prediction features. The study concludes that the object-oriented approach with UML is more suitable for KMS development in agribusiness, where an adaptive and responsive system is essential.

Evaluasi Implementasi E-government di Instansi XYZ Romayah, Siti; Suroso, Arif Imam; Ramadhan, Arief
Jurnal Aplikasi Manajemen Vol. 12 No. 4 (2014)
Publisher : Universitas Brawijaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/

Evaluation of e-Government is conducted to improve the efficiency, effectiveness, transparency and accountability of governance and public services. This study aims to evaluate the implementation of e-Government (e-Gov)in XYZ institution. The evaluation is divided into three types, first is analysis of maturity level using e-Gov Ranking Hold Indonesia (PeGI), the second type is evaluation of Information Systems Resources (ISR) with descriptive qualitative method, and the last one is analysis of system quality and information quality based on McLean and DeLone (2003) using analysis of Importance Performance Analysis (IPA). As a result, the overall assessment of PeGI from the five-dimensional measurement is good but it tends to be less threatened either. The dimensions of institutional, infrastructure, and application are categorized as good rank while the dimension of planning and policy are weak rank. Secondly, the evaluation results of ISR including hardware, software, netware, and dataware have good performance but the evaluation results of human resources need to be improved. Furthermore, from the IPA results, the low performance of sistem quality are reliability, accessibility, download time and efficiency and the low performance of information quality are timelines and up-to-date. Accordingly, XYZ institution need to make improvements that focus on information and communication technology (ICT) planning, human resources mapping and improving the quality and quantity in the field of ICT, as well as improving the system quality and the information quality to support the successful implementation of e-Gov in XYZ institution

Daily Production Prediction Model of Oil Wells Using Backpropagation Neural Network Wicaksono, Arif; Arif Imam Suroso; Nur Hasanah
Jurnal Aplikasi Bisnis dan Manajemen Vol. 11 No. 3 (2025): JABM Vol. 11 No. 3, September 2025
Publisher : School of Business, Bogor Agricultural University (SB-IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17358/jabm.11.3.804

Background: Measuring well production is a crucial task in upstream oil and gas operations, where various tests and measurements are standard procedures and integral parts of operational activities. More frequent production measures are required to detect production declines in mature fields. However, existing daily production testing at the Langgak field, Central Sumatra Basin, cannot be routinely and periodically conducted due to several economic and technical challenges. Purpose: The objective of this article is to create a model for predicting daily crude oil well production.Design/methodology/approach: To achieve this goal, the study applies an artificial neural network (ANN) for forecasting daily crude oil well production, utilizing 17,394 daily production records from 26 wells. This sample size is well above recommended thresholds for neural network models, ensuring sufficient data for robust model training and validation. The backpropagation algorithm and the sigmoid function are employed as the learning algorithm to predict daily crude oil well production. Findings/Result: The optimal parameters for predicting daily crude oil well production were 20 hidden nodes and a learning rate of 0.05, converging at 481 epochs with a training time of 13 seconds.Conclusion: Model performance was indicated by high correlation coefficients (R) across training, validation, and testing phases, along with a low Mean Squared Error (MSE). The resulting regression equation, Output = 1 × Target + 0.00024, confirms a near-perfect alignment with the target function.Originality/Value (State of the art): Although this study employs the standard backpropagation neural network (BPNN) architecture an established method in oil production forecasting it contributes original value by rigorously applying 10-fold cross-validation on an 80:20 train-test split of the Langgak field dataset, thereby enhancing model reliability and offering validated insights for forecasting in mature oil fields; a foundation upon which future research can build using hybrid or more advanced neural architectures shown to yield superior accuracy. Keywords: artificial neural network, backpropagation, oil production forecasting, machine learning, yield prediction

Strategy for Developing Business Kebun Latte Restaurant As A Culinary Tourism Destination Dharmawan, Rafi; Arif Imam Suroso; Sufrin Hannan
Jurnal Aplikasi Bisnis dan Manajemen Vol. 11 No. 3 (2025): JABM Vol. 11 No. 3, September 2025
Publisher : School of Business, Bogor Agricultural University (SB-IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17358/jabm.11.3.858

Background: Kebun Latte Restaurant has a concept of a teak plantation atmosphere and offers a diverse menu, making it one of the top choices for culinary tourism. However, Kebun Latte Restaurant has experienced a decline in revenue over the past three years, and there are several revenue streams that have not been maximized. Given the modern lifestyle trends of today's society, the restaurant company must anticipate changes and implement business model development strategies to enhance competitiveness and ensure the company remains a sustainable choice as a culinary tourism destination..Purpose: This research aims to identify the condition of the company using the business model canvas, then formulate alternative strategies so as to produce priority strategy recommendations that are implemented as a new business model formulation for Kebun Latte restaurant.Design/methodology/approach: This research was conducted from August 2023 to September 2024 and involved five respondents who had five years of experience in the tourism industry, particularly in the restaurant sector. In addition, the information received was processed using the business model canvas method, IFE and EFE, IE Matrix, SWOT analysis and Analytical Hierarchy Process (AHP).Finding/Result: The results of the study show nine elements of the business model canvas at Kebun Latte. The SWOT analysis shows 10 alternative strategies, and based on the AHP analysis, there are three strategic priorities, namely: improving marketing by highlighting the Instagrammable outdoor concept, maintaining and improving product quality, and developing products towards sustainability. These results provide changes in the formulation of the new version of the business model canvas.Conclusion: The results of this study provide strategic priorities to be implemented by the company, including increasing marketing by emphasizing the concept of instagrammable outdoors, maintaining and improving product quality and developing products towards sustainability. This affects the development of the 6 elements of the business model canvas.Originality/value (State of the art): The new Kebun Latte restaurant business model has a competitive advantage as a culinary tourism destination, namely the existence of sustainable products supported by an instagrammable outdoor concept. Keywords: analytical hierarchy process, business model canvas, culinary tourism, swot, strategy development

Co-Authors Abdul Mufti Ade Rahmat Iskandar Adler Haymans Manurung Agus Buono Agustian, Fajar Aida Vitayala Hubeis Aji Hermawan Akbar, M Lucky Alfy Sukma Amru Sahmono Boang Manalu Andi Tenri Abeng Anggraini Sukmawati Anggraini, Raden Isma Arief Ramadhan Arief Ramadhan Arif Wicaksono Arkeman, Yandra Arsyanur, Mustika Retno Asep Nurhalim Asep Taryana Azka Bazil Danish Rahmat Bachtiar, Muchamad Bahukeling, Trukan Sri Bambang Juanda Bandono, Bayu Bernadus, Benny Bimo Andono Budi Setiawan Chandra, Mohamad Citra, Suryati Oka Dewi Suryani Dewi, Nina Kurnia Dharmawan, Rafi Dirdjosaputro, Sukiswo Edi Suryanto Eko Agus Prasetio Eko Agus Prasetio Eko Agus Prasetio Endang Gumbira Sa'id Erliza Noor Euis Sunarti Fadhil Muhammad Fahrillah, Ahmad Ariq Fajar Agustian Febriyana, Alfonsia Ferdi Novalendo Fety Nurlia Muzayanah Ghifari, Nurul Afiifah Hadiwidjaja, Rini Dwiyani Hafizh, Muhammad Damar Hanindipto, Fasa Aditya Hansen Tandra Hansen Tandra Hariandja, Nancy Megawati Haryono, Adi Hendro Sasongko Heny Kuswanti Suwarsinah HERMANTO SIREGAR Hermanto Siregar Hilda Puspita Pratyaharani I Gusti Ayu Indira Maharani Idqan Fahmi Ilham Ananto Yuwono Illah Sailah Irman Hermadi Iyung Pahan Jaman, Jajam Haerul Joko Ratono Joko Ratono Joko Ratono, Joko Juniar Prayogi Juniar Prayogi Khairiyah Kamilah Kudang B. Seminar Kudang Boro Seminar LILIK BUDIPRASETYO Lilik Noor Yuliati Loeis, Minaldi Lukman M. Baga M, Misbahudddin M. Syamsul Maarif Maesaroh, Syti Sarah Marimin , Meilani, Lala Meta, Fildza Shabrina Meuthia Rachmaniah Misbahuddin Mohammad Syamsul Maarif Muhamad Syukur Mukhamad Najib MULYANI Musa Hubeis Neni Seliana Ninuk Purnaningsih Nugraha, Herry Nugraha, Windy Maudy Atiah Putri Nur Adhita Rahmawati Nur Hasanah Nur Hasanah NUR HASANAH Nurhidayat, Ridwan Pahan, Iyung Permasih, Desta Popong Nurhayati Prabantarikso, Mahelan Pramadia Satriawan Priastuti, Dila Qorry, Akhmad Yani Rahmana, Adhitya Rahmanto, Mohamad Ridwan Rini Dwiyani Hadiwidjaja Rinova Budiman Rita Nurmalina Rivira Yuana Rivira Yuana Rizal Broer Bahaweres Rizal Syarief Rizal Syarief Rizal Syarief Rizal Syarief Rizal Syarief Rizki, Yanis Aulia Rokhani Hasbullah Romayah, Siti Rotua Siahaan RR. Kathrin Irviana Ruth Johana Angelina Safari, Arief Saiful Bahri Seliana, Neni Setiadi Djohar Setiadi Djohar Setyo Wibowo Shalihati, Fithriyyah Siti Jahroh Siti Romayah Suci Ramadhani, Suci Sufrin Hannan Sugiarto, Anto Tri Sugiharto Soeleman Suprehatin Suprehatin Supriyadi Supriyadi Sutriono Edi Tandra, Hansen Tendy Arya Pranata Trias Andati Ujang Sumarwan Utami, Yulistiana Endah Widhiani, Anita Primaswari Widia Citra Anggundari Yamin, Fadhilah Bt Mat Yandra Arkeman Yandra Arkeman Yandra Arkeman Yani Nurhadryani Yantama, Rian Rizki YELLY REFITA Yuana, Rivira Yuni Sugiarti, Yuni Yunus Triyonggo Yunus Triyonggo, Yunus Yusman Syaukat Zahid, Rifqi Az

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