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All Journal Jurnal Optimasi Sistem Industri Jurnal Ilmiah Teknik Industri JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Indonesian Journal of Halal Research AMAR (Andalas Management Review) Warta Pengabdian Andalas: Jurnal Ilmiah Pengembangan Dan Penerapan Ipteks Andalasian International Journal of Agricultural and Natural Sciences International Journal of Advanced Science Computing and Engineering Women Midwives and Midwifery Jurnal Keilmuan dan Aplikasi Teknologi Industri
Ikhwan Arief
Universitas Andalas
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Other

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Identification of Internal Academic Factors Affecting Academic Entrepreneurship: A Case Study Prima Fithri; Rida Rahim; Donard Games; Alizar Hasan; Ikhwan Arief
Jurnal Optimasi Sistem Industri Vol. 20 No. 2 (2021): Published in November 2021
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (479.002 KB) | DOI: 10.25077/josi.v20.n2.p72-82.2021

Abstract

Academic Entrepreneurship is an entrepreneurial activity conducted by scientists/academics who market their research results commercially to achieve specific economic benefits or rewards. This research focuses on academic entrepreneurship that occurs at Andalas University. There is still a lack of academics whose research products for commercialization are about 22.73%. It is because there are factors that influence academic entrepreneurship activities at  Andalas University. One of them is the internal academic factor. The internal factors are Control System, Organizational Culture, Human Resource Management System, Organizational Structure, and Academic Leadership Behavior. The purpose of this study is to analyze the university's internal factors on academic entrepreneurship. This research uses a quantitative approach derived from 106 Andalas University academics with Structural Equation Modelling (SEM) methods with SmartPLS Software. The result obtained in this study is that the control system exerts a positive and negative influence on academic entrepreneurship. In contrast, other factors have a significant positive influence on academic entrepreneurship.  The research results show that the university's control system, organizational structure, and human resources had no significant positive effect on academics at Andalas University. Meanwhile, entrepreneurial behavior and organizational culture have a significant positive effect on academic entrepreneurship at Andalas University. Further research should be analyzed for all universities with innovative products and are ready for commercialization throughout Indonesia. This research is still a case study and needs to be developed.
Factors Affecting Customer Satisfaction In E-Commerce Dina Rahmayanti; Eri Wirdianto; Ikhwan Arief; Arri Fatimah Zahra; Hafizh Ahmad
Jurnal Ilmiah Teknik Industri Vol. 20, No. 2, December 2021
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v20i2.15635

Abstract

This research aims to identify the influence of website quality, product quality, product price, and safety shopping on e-commerce customer satisfaction and determine the significant factor influencing e-commerce customer satisfaction. The method used in this research is multiple linear regression analysis to identify the relationship between independent variables and dependent variables. This research uses the purposive sampling technique to determine the sample size through an online questionnaire to obtain the primary data. The 184 respondents respond to the online questionnaire through social media. This research shows that website quality, product quality, product price, and safety shopping simultaneously influence customer satisfaction. Furthermore, the most significant factor affecting customer satisfaction is product quality; this factor contributes as much as 38% among the other three independent variables in this research.
Pengembangan Antarmuka Portal Universitas untuk Meningkatkan Pengalaman Pengguna Ikhwan Arief; Asmuliardi Muluk; Ahmad Syafruddin Indrapriyatna; Mahira Falevy
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 5 No 6 (2021): Desember 2021
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (752.288 KB) | DOI: 10.29207/resti.v5i6.3532

Abstract

Technology has been growing rapidly to help humans living their everyday life. Human, as the user interacts through an interface called user interface (UI), and the experience that the users are having is called user experience (UX). UI and UX are inseparable as a good user interface will result in a better user experience. Portal Unand is a web-based app that has all academic information for students. An initial survey was conducted to find out student’s thoughts on Portal Unand. Students have complaints towards Portal Unand due to its unresponsiveness, old-fashioned design, important features weren’t highlighted, etc. Hence, it reduced user experience in using Portal Unand. In this study, the redesign was done by using the design thinking. The study started from empathizing with the users until testing the prototype to the users by conducting usability testing. Usability testing was conducted by using Maze and System Usability Scale (SUS). The score of usability testing was 84 which fell into the high range. The SUS score was 83.33 which fell into grade A and acceptable category. As the new prototype managed to fulfill users’ needs and met users’ expectations, the prototype was usable and ready to be developed.
Pelatihan Standar Penanganan Pangan Rendang di Sentra Produksi Randang Reinny Patrisina; Prima Fithri; Lusi Susanti; Hilma Raimona Zadry; Difana Meilani; Eri Wirdianto; Jonrinaldi Jonrinaldi; Desto Jumeno; Asmuliardi Muluk; Alexie Herryandie; Feri Afrinaldi; Henmaidi Henmaidi; Alfadhlani Alfadhlani; Insannul Kamil; Dicky Fatrias; Taufik Taufik; Wisnel Wisnel; Alizar Hasan; Rika Ampuh Hadiguna; Ahmad Syafruddin; Nilda Tri Putri; Elita Amrina; Ikhwan Arief; Afri Adnan
Warta Pengabdian Andalas Vol 26 No 2 (2019)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM) Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jwa.26.2.112-116.2019

Abstract

Nowadays, consumers are getting smarter in choosing products, including food products. Food safety is an important thing that must be considered by the food industry. Unsafe food production can only be done because of food, product needs, lengthy legal process, but can also damage the community. Customer needs demand certainty from the food provided in a way that meets food safety standards, from the garden to the table. To fulfill this reason, all parties involved in the food production process must know and understand well matters related to food procurement standards for the products produced. Rendang is one of the traditional foods of West Sumatra that has begun worldwide. This requires the need to produce rendang with food safety standards is very important. Based on this, within the framework of the Community Service Department of Industrial Engineering UNAND conducts training / technical guidance related to the rendang food procurement standards with training on Good Manufacturing Practices (GMP). This activity was expected to help Small and Medium Enterprises to get business standardization.
Meningkatkan Antarmuka Pengguna Melalui Analisis Sentimen: Mengungkap Pengalaman Pengguna di Aplikasi Bukalapak Ikhwan Arief; Muhammad Farhandika; Ahmad Syafruddin Indrapriyatna; Ardhian Agung Yulianto; Yumi Meuthia
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 5 (2023): October 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i5.5184

Abstract

In this research, we use sentiment analysis to refine the user interface (UI) and user experience (UX) of the Bukalapak application, a leading online trading platform in Indonesia. We focus our scrutiny on 4,462 reviews related to the UI within a larger dataset of 246,947. Almost a third of these critiques express dissatisfaction, predominantly pointing out issues related to the UI design and its functionality. The critiques underscore the potential of sentiment analysis as a tool to uncover areas of user-centric design that need improvement. To address these issues, it is necessary to incorporate user feedback and sentiment analysis into the design workflow, allowing a more in-depth understanding of user needs and facilitating more effective service enhancements. Embracing a user-centered methodology allows for UI fine-tuning, leading to better functionality and increased user contentment. Our investigation reveals a positive link between design refinements and usability ratings, indicating improved user experience satisfaction. To summarize, this research highlights the essential contribution of user feedback and sentiment analysis to detect and correct UI shortfalls, thus augmenting UX and contributing to the triumph of platforms like Bukalapak within Indonesia's dynamically changing e-commerce environment.
The Effectiveness of Pre-Mommy Applications to Improving Knowledge, Behavior, and Psychological Conditions in The Preconception Period Women of Reproductive Age Yulizawati Yulizawati; Henni Fitria; Rafika Oktova; Ikhwan Arief
Women, Midwives and Midwifery Vol. 3 No. 3 (2023): Women, Midwives and Midwifery journal
Publisher : Asosiasi Pendidikan Kebidanan Indonesia (AIPKIND)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36749/wmm.3.3.28-35.2023

Abstract

Background: Preconception care is provided to minimize adverse risk factors in fetal growth and development. in preconception care important educational aspects before encouraging the need for mobile education. .Mobile applications can be used to provide more practical preconception education. Purpose: The aim of this study was to investigate whether providing education through Premommy applications is beneficial in improving the knowledge, behavior, and psychological well-being of women during the preconception period. Methods: This study is quantitative research with pre-experimental design, one group pre-test and post-test. The study was conducted at the Religious Affairs Office in Padang City with 50 participants. Results: Results show an increased percentage of respondents with high knowledge (22%), good preconception behavior (16%), and mild anxiety levels (16%) after the intervention. Analysis test with Wilcoxon obtained p-value <0.05. Conclusion: There was an influence of intervention using the Premommy application on the level of knowledge, behavior, and psychological conditions. Professionals are expected to improve quality in providing preconception education using applications.
Innovative Multi-Criteria Decision-Making Approach for Supplier Evaluation: Combining TLF, Fuzzy BWM, and VIKOR Ikhwan Arief; Dicky Fatrias; Ferry Jie; Armijal Armijal
Jurnal Optimasi Sistem Industri Vol. 22 No. 2 (2023): Published in December 2023
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v22.n2.p179-196.2023

Abstract

When confronted with underperforming suppliers, the need to evaluate and improve supplier performance becomes apparent. However, the inherent inaccuracies in information introduce complexity, especially when subjective human judgment is involved in the supplier evaluation process. Associated with such problem, this study presents a novel methodology for supplier performance evaluation in the crumb rubber industry, integrating the Taguchi Loss Function (TLF), fuzzy Best-Worst Method (BWM), and VIKOR technique in group decision-making environment. Aimed at addressing the challenges in industries with variable supplier quality and performance, such as the crumb rubber industry in Indonesia, the methodology was empirically tested to demonstrate its practical utility. The process involved identifying evaluation criteria through literature review tailored  to the needs of decision makers (DMs), applying TLF to quantify losses from supplier performance deviations, using fuzzy BWM to determine criteria weights based on the DMs judgment, and employing the VIKOR technique for comprehensive supplier ranking. The findings underscore the methodology's effectiveness in enhancing decision-making, offering a unified metric that accommodates diverse criteria and balances precise data with subjective assessments. This approach simplifies the evaluation process, particularly in situations with conflicting interests among decision-makers. Demonstrating its practical application in the crumb rubber industry, the study highlights the methodology's potential for broader industrial applicability. Future research could explore comparative analyses with other analytical methods, further establishing the methodology's robustness and adaptability in different management contexts. 
Literature Reviews of RBV and KBV Theories Reimagined - A Technological Approach Using Text Analysis and Power BI Visualization Arief, Ikhwan; Hasan, Alizar; Putri, Nilda Tri; Rahman, Hafiz
JOIV : International Journal on Informatics Visualization Vol 7, No 4 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.7.4.1940

Abstract

Over the years, the Resource-Based View (RBV) and Knowledge-Based View (KBV) have solidified their roles as pivotal paradigms in strategic management literature. With an emphasis on Small and Medium Enterprises (SMEs), this study uses text analysis and Microsoft Power BI to explore these concepts innovatively. The study implements a systematic literature review, extracting data from Scopus, Web of Science, and DOAJ databases to assemble a comprehensive literature corpus. The methodology incorporates text analysis to draw out key themes, relationships, and trends, and these are subsequently visualized using Power BI to create an engaging, interactive representation of data. Components like word clouds, co-occurrence networks, and trend lines are generated, while Power BI's dynamic filtering and drill-down functionalities facilitate thorough data investigation. The results display significant overlap between RBV and KBV, denoting possible integration junctures for these theories within the domain of strategic management. Additionally, the study underscores the relevance of these insights for SMEs, emphasizing the part played by unique resources, encompassing knowledge assets, in catalyzing innovation and fostering a competitive edge. The study concludes by recognizing the significant theoretical and practical implications of integrating text analysis and Power BI in conducting literature reviews. This methodology bolsters our understanding of RBV and KBV, offering small and medium-sized enterprises a beneficial instrument to traverse these intricate theories. The study suggests that future research could broaden the application of this methodological approach to encompass other strategic management theories.
Feature Selection and Performance Evaluation of Buzzer Classification Model Isnaeni Nurul Afra, Dian; Fajri, Radhiyatul; Annisa Prafitia, Harnum; Arief, Ikhwan; Jasa Mantau, Aprinaldi
Jurnal Optimasi Sistem Industri Vol. 23 No. 1 (2024): Published in July 2024
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v23.n1.p1-14.2024

Abstract

In the rapidly evolving digital age, social media platforms have transformed into battleground for shaping public opinion. Among these platforms, X has been particularly susceptible to the phenomenon of 'buzzers', paid or coordinated actors who manipulate online discussions and influence public sentiment. This manipulation poses significant challenges for users, researchers, and policymakers alike, necessitating robust detection measures and strategic feature selection for accurate classification models. This research explores the utilization of various feature selection techniques to identify the most influential features among the 24 features employed in the classification modeling using Support Vector Machine. This study found that selecting 11 key features yields a remarkably effective classification model, achieving an impressive F1-score of 87.54 in distinguishing between buzzer and non-buzzer accounts. These results suggest that focusing on the relevant features can improve the accuracy and efficiency of buzzer detection models. By providing a more robust and adaptable solution to buzzer detection, our research has the potential to advance social media research and policy. This enabling researchers and policymakers to devise strategies aimed at mitigating misinformation dissemination and cultivating an environment of trust and integrity within social media platforms, thus fostering healthier online interactions and discourse.
Implementation of The Balanced Scorecard In Improving The Performance of University Business Incubator (Case Study : Inkubator Bisnis Teknologi Universitas Andalas) Prima Fithri; Alizar Hasan; Fandy Triawan; Ikhwan Arief; Asmuliardi Muluk
AMAR (Andalas Management Review) Vol 7 No 2 (2023)
Publisher : Management Institute Faculty of Economics Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/amar.7.2.1-17.2023

Abstract

Andalas University has a business incubator unit called the Technology Business Incubator (InBisTek) Andalas University. This study aims to formulate Key Performance Indicators and measure the performance of Inbistek Andalas University in assisting tenants. Performance measurement is carried out using the Balanced Scorecard method which consists of: on four perspectives namely internal business process perspective, growth and learning perspective, financial perspective, and tenants perspective. Performance measurement is carried out using data obtained from direct observation, questionnaires, and interview directly with the Andalas University Inbistek. KPI formulation is followed by a validation step,so that 31 selected KPIs were obtained. Furthermore, the selected KPIs are continued with weighting to determine the level interest in each KPI through a pairwise comparison questionnaire with the Analytical Hierarchy Process method. Then the performance measurement is carried out according to the perspective on the Balanced Scorecard. Obtained results of performance measurement Andalas University Institute of Technology as a whole is 3.4 which is included in the good category. Based on the results performance measurement, there are 5 KPIs with poor performance category, 5 KPIs with fairly good performance category, 12 KPIs withgood performance category, and 9 KPIs with very good performance category.
Co-Authors Abdul Talib, Hayati Habibah Afri Adnan Afrinaldi, Feri Ahmad Syafruddin Alexie Herryandie Alfadhlani Alfajri Nalda Alizar Hasan Alyani Rahma Putri Annisa Prafitia, Harnum Aprinaldi Jasa Mantau Arif Kharisman Armijal Armijal Arri Fatimah Zahra Asmuliardi Muluk Budi Agung Santoso Desto Jumeno Dhiny Yurichy Putri Dian Isnaeni Nurul Afra Dicky Fatrias Difana Meilani Dina Rahmayanti Donard Games Elita Amrina Elsayed Ali Ismail Eri Wirdianto Fajri, Radhiyatul Fandy Triawan Ferry Jie Fitria, Henni Hafiz Rahman, Hafiz Hafizh Ahmad Harnum Annisa Prafitia Hayati Habibah Abdul Talib Henmaidi Henmaidi Henmaidi Hermawan Nugroho Hilma Raimona Zadry Indrapriyatna, Ahmad Syafruddin Ismail, Elsayed Ali Isnaeni Nurul Afra, Dian Jamaludin, Khairur Rijal Jasa Mantau, Aprinaldi Jonrinaldi Kamil, Insannul Khairur Rijal Jamaludin Kharisman, Arif Lusi Susanti Mahira Falevy Muhammad Arieaman Fikri Muhammad Farhandika Muhammad Khalish Muluk, Asmuliardi Nilda Tri Putri Nurul Azizah Dhuha Prima Fithri Putri, Alyani Rahma Radhiyatul Fajri Rafika Oktova Rahmat Fajri Fajri reinny patrisina Rida Rahim Ridhamelia Ridhamelia Rika Ampuh Hadiguna Rusydi, Muhammad Ilhamdi Satria, Trinda Farhan Taufik Taufik Triawan, Fandy Wisnel Wisnel Yoan Winata Yulianto, Ardhian Agung Yulizawati . Yumi Meuthia