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All Journal Jurnal Manajemen Bisnis Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Applied Information System and Management J-MAS (Jurnal Manajemen dan Sains) Jurnal Soshum Insentif Jurnal Doktor Manajemen (JDM) JISA (Jurnal Informatika dan Sains) Mabny : Journal of Sharia Management and Business Journal of Economic, Business and Engineering (JEBE) Pelita Teknologi : Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB Jurnal Ekonomika dan Manajemen Journal of International Conference Proceedings Jurnal Pengabdian Pelitabangsa Jurnal Lentera Pengabdian Joong-Ki Journal of Community Empowerment JEPEmas: Jurnal Pengabdian Masyarakat (Bidang Ekonomi) Strata International Journal of Social Issues Multidiscience: Journal of Multidisciplinary Science Joong-Ki
Yoga Religia
UPN Veteran Yogyakarta
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Connecting Green Consumption Value to Green Word-of-Mouth: Insights into SMEs’ Eco-Friendly Product Purchasing Dynamics Religia, Yoga; Ramawati, Yussi; Said, Jamaliah
Jurnal Manajemen Bisnis Vol. 16 No. 1: March 2025
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/mb.v16i1.24611

Abstract

Research aims: To examine the impact of different consumption values (functional, epistemic, emotional, social, and conditional) on green purchase behavior and green word of mouth, particularly within the context of green products like Jadah Tempe.Design/Methodology/Approach: A quantitative approach with a cross-sectional descriptive design was used using a questionnaire distributed to 200 respondents in Yogyakarta both online and offline. From the distributed questionnaire, complete data was obtained from 188 respondents to be used in the analysis process.Research findings: The findings indicate that emotional and conditional values significantly influence green purchase behavior and green word-of-mouth. Specifically, emotional values have a positive relationship with green purchase behavior, while conditional values demonstrate the strongest effect on consumer choices. Green purchase behavior serves as a crucial mediator in these relationships, suggesting that consumers with emotional attachments and contextually relevant values are more likely to engage in and promote sustainable purchasing.Theoretical Contribution/Originality: This research provides unique insights into the consumer behavior of Jadah Tempe, emphasizing local sustainable food products' importance and offering a foundation for future studies in sustainable consumption practices.Practitioners/Policy Implications: Marketers should focus on emotional connections and context in their campaigns to promote sustainability, enhancing consumer engagement with products like Jadah Tempe. Understanding the influence of emotional and conditional values on young consumers can help SMEs create inclusive marketing strategies that resonate with diverse segments and promote sustainable products.Research Limitations/Implications: Although this study is limited to the Yogyakarta region, it opens up opportunities for further research in other areas to understand different contexts. The findings of this study still make a strong contribution to understanding consumer behavior and provide a solid foundation for future studies.
Repurchase Intention Model Development Mediated by Brand Image: A Study at Fore Coffee in Yogyakarta Nabiela, Ibriza; Wisnalmawati, Wisnalmawati; Religia, Yoga
Strata International Journal of Social Issues Vol. 2 No. 2 (2025): August
Publisher : CV. Strata Persada Academia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59631/sijosi.v2i2.417

Abstract

This study aims to develop a repurchase intention model mediated by brand image, using Fore Coffee consumers in Yogyakarta as the research context. The research is motivated by the rapid growth of social media as a digital marketing strategy and the expansion of the F&B industry, with Fore Coffee successfully integrating digital technology to reach a broader market. A quantitative approach with a descriptive research design was applied. A total of 100 respondents were selected using accidental sampling. Data were analyzed using Structural Equation Modeling (SEM) with the Partial Least Squares (SmartPLS) method. The findings indicate that Social Media Marketing has a positive and significant effect on repurchase intention and brand image. Furthermore, brand image positively and significantly influences repurchase intention. Notably, brand image mediates the relationship between Social Media Marketing and repurchase intention, implying both direct and indirect effects of digital marketing on consumer behavior. These findings highlight the strategic importance of social media in strengthening brand image to foster customer loyalty. The study also suggests that future research should incorporate additional variables such as customer satisfaction, consumer trust, or product quality to further enhance the predictive model of repurchase intention in the coffee or local beverage industry.
Uncovering The Barriers and Business Impacts of E-Commerce Non-Adoption Among SMEs: A TOE Framework Perspective Religia, Yoga; Ramawati, Yussi; Said, Jamaliah
Applied Information System and Management (AISM) Vol. 8 No. 2 (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.v8i2.46657

Abstract

This study investigates barriers in technology, organization, and environment that prevent Indonesian SMEs from adopting e-commerce and examines their effects on business sustainability. Using the TOE framework, this research adopts a quantitative cross-sectional method, with data from 320 SMEs analyzed using PLS-SEM. Results reveal that technological and environmental barriers significantly hinder e-commerce adoption, negatively affecting sustainability, while organizational barriers have no significant impact. These findings highlight the need for targeted interventions to address technological and environmental challenges. The study provides valuable insights for policymakers to foster supportive environments, enhance SME competitiveness, and promote digital inclusion. By addressing these barriers, SMEs can access digital markets more effectively, improve performance, and contribute to economic growth. This research underscores the importance of policies supporting SME growth and digital transformation, offering guidance to improve e-commerce adoption and business sustainability in the digital era. 
DIGITALISASI LAYANAN PELANGGAN UMKM: PELATIHAN PENERAPAN CUSTOMER RELATIONSHIP MANAGEMENT (CRM) PADA SENTRA IKM JADAH TEMPE KALIURANG, SLEMAN Firdausi, Asri Sekar Mawar; Religia, Yoga; Naingolan, Dedy Sunaryo; Ridwan, Muhamad
Journal of Community Empowerment Vol 4, No 2 (2025): September
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jce.v4i2.34784

Abstract

ABSTRAK                                                                            Sentra IKM Jadah Tempe di Kaliurang, Kecamatan Pakem, Kabupaten Sleman, Daerah Istimewa Yogyakarta merupakan klaster usaha kuliner tradisional dengan potensi ekonomi lokal yang signifikan. Namun, sebagian besar pelaku usaha masih mengandalkan pencatatan manual dan pendekatan konvensional dalam mengelola pelanggan, sehingga pengelolaan relasi pelanggan belum optimal. Program pengabdian kepada masyarakat ini memperkenalkan konsep CRM dan alat digital kepada 32 peserta dari Sentra IKM Jadah Tempe di Kaliurang dengan tujuan agar dapat meningkatkan keterampilan pada pelayanan pelanggan yang diharapkan akan mendorong loyalitas. Pelatihan dilaksanakan pada tanggal 22 April 2025 dengan fokus pada konsep dasar CRM, manajemen data pelanggan, serta demonstrasi aplikasi digital. Metode pelatihan mencakup ceramah interaktif, diskusi kelompok, simulasi, dan praktik langsung penginputan data penjual serta pelanggan ke dalam aplikasi berbasis CRM. Evaluasi dilakukan melalui pre-test dan post-test, observasi, serta lembar umpan balik. Hasil pelatihan menunjukkan adanya peningkatan pemahaman peserta sebesar 55%, dengan 27 dari 32 peserta berhasil menyelesaikan simulasi pembuatan database pelanggan dan merancang strategi loyalitas sederhana. Peserta menunjukkan antusiasme tinggi, dengan 90% menyatakan bahwa CRM relevan dengan usaha mereka. Pelatihan ini menegaskan pentingnya keterampilan pengelolaan pelanggan berbasis digital bagi UMKM sektor kuliner, serta membuktikan bahwa intervensi yang terarah dan praktis dapat mendorong kesiapan digital dan strategi berorientasi pelanggan pada klaster bisnis tradisional. Sebagai tindak lanjut, Sentra IKM Jadah Tempe berencana membentuk tim CRM internal didampingi tim pengabdian UPN Veteran Yogyakarta dan menerapkan sistem basis data pelanggan secara rutin sebagai upaya keberlanjutan untuk memperkuat daya saing dan loyalitas pelanggan dalam jangka panjang. Kata kunci: Pelatihan; UMKM; customer relationship management; digitalisasi  ABSTRACTThe Jadah Tempe Small and Medium Industries (IKM) Center in Kaliurang, Pakem District, Sleman Regency, Special Region of Yogyakarta, is a traditional culinary business cluster with significant local economic potential. However, most business owners still rely on manual record-keeping and conventional approaches in managing customer relationships, resulting in suboptimal customer relationship management. This community service program introduced the concept of Customer Relationship Management (CRM) and digital tools to 32 participants from the Jadah Tempe IKM Center in Kaliurang. The program aimed to enhance customer service skills, which are expected to foster greater customer loyalty. The training was held on April 22, 2025, focusing on fundamental CRM concepts, customer data management, and demonstrations of digital CRM applications. The training methods included interactive lectures, group discussions, simulations, and hands-on practice in entering seller and customer data into a CRM-based application. Evaluation was conducted through pre- and post-tests, observations, and participant feedback forms. The results showed a 55% increase in participants’ understanding, with 27 out of 32 participants successfully completing the simulation of building a customer database and designing simple loyalty strategies. Participants demonstrated high enthusiasm, with 90% stating that CRM was relevant to their businesses.This training highlights the importance of digital customer management skills for micro, small, and medium enterprises (MSMEs) in the culinary sector and demonstrates that targeted and practical interventions can effectively enhance digital readiness and customer-oriented strategies in traditional business clusters. As a follow-up, the Jadah Tempe IKM Center plans to establish an internal CRM team, supported by the UPN “Veteran” Yogyakarta community service team, and to implement a regular customer database system as a sustainability effort to strengthen competitiveness and customer loyalty in the long term. Keywords: Training; MSMEs; customer relationship management; digitalization
Edukasi dan Pelatihan Desain Kemasan Ramah Lingkungan untuk UKM Arif, Nina Fapari; Religia, Yoga; Rifani, Siti Khusnul; Rahman, Fathi Habibatur; Tasrim, Tasrim; Jayanti, Ansri
Joong-Ki : Jurnal Pengabdian Masyarakat Vol. 3 No. 3: Mei 2024
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/joongki.v3i3.3665

Abstract

Kegiatan PKM bertemakan desain kemasan yang ramah lingkungan dengan memberikan edukasi dan pelatihan terkait pengemasan. Tujuan kegiatan memberikan solusi pada permasalahan yang telah diidentifikasi dengan memberikan Edukasi dan Pelatihan kepada Pelaku UKM terkait permasalahan Kemasan (packaging). Solusi yang ditawarkan adalah 1) memberikan Edukasi tentang pentingnya Kemasan dan Material yang ramah lingkungan, 2) memberikan pelatihan membuat rancangan desain menggunakan aplikasi canva, 3) Edukasi tentang estimasi biaya material kemasan dan sistem pemasaran, dan 4) edukasi Pengolahan Limbah kemasan. Hasil kegiatan PKM: 1) Pelatihan dapat dilakukan dengan lancar dalam bentuk tatap muka (luring) dan secara daring (online), 2) Peserta pelatihan mampu berpartisipasi secara aktif dan interaktif dalam kegiatan pengabdian masyarakat, 3) Peserta pelatihan memiliki kemampuan untuk memahami materi pelatihan yang disampaikan oleh tim PKM. 4) Peserta pelatihan dapat memahami penjelasan yang diberikan dan melatih diri menggunakan materi-materi yang telah diberikan
TOE Framework for E-Commerce Adoption by MSMEs during The COVID-19 Pandemic: Can Trust Moderate? Religia, Yoga; Ekhsan, Muhamad; Huda, Miftakul; Fitriyanto, Anton Dwi
Applied Information System and Management (AISM) Vol. 6 No. 1 (2023): 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.v6i1.30954

Abstract

Currently, there are still many MSMEs in the regions that have not been connected to the digital ecosystem. This results in limited market reach, a lack of visibility, a lack of operational efficiency, and difficulty competing in the digital market. The purpose of this study is to review the adoption of e-commerce among MSMEs during the COVID-19 pandemic within the scope of the organization. Integrating the TOE framework (technology, organization, environment) with trust is carried out to explain the key parameters behind the adoption of e-commerce by MSMEs. This study collected samples using a saturated sample technique from 181 people who were members of the population. There were 153 questionnaires that were returned in full for further analysis using SEM-PLS modeling. The test results showed that technology did not have a significant influence on the adoption of e-commerce. Organizations, the environment during the pandemic, and trust have had a significant influence on the adoption of e-commerce. In addition, organizations that are moderated by trust have no significant effect on e-commerce adoption. The role of trust is as a moderation predictor. This research shows that the TOE framework is still strong enough to be used in explaining the adoption of e-commerce by MSMEs. This research also expands the TOE framework, where trust can also influence MSMEs to adopt e-commerce. Researchers and managers can use the set of variables that have been identified to strategize the adoption of e-commerce by MSMEs. This study presents a series of variables that can be used to study the adoption of e-commerce by MSMEs in the future.
Analysis of the Effect of Perceived Product Quality on Retail Purchase Intention: The Mediating Role of Consumer Trust and Price Sensitivity Moderation Religia, Yoga; Ramawati, Yussi; Syahwildan, Muhamad
Applied Information System and Management (AISM) Vol. 7 No. 1 (2024): 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.v7i1.33914

Abstract

Small informal retailers play a crucial role in the local economy, with consumer purchase intentions being the backbone of their sustainability. The purpose of this research is to explore the relationship between perceived product quality, consumer trust, and price sensitivity to purchase intention among small retailers. This research data was obtained from Mendeley data in the form of subsistence retail consumer data consisting of 281 respondents. The analysis was carried out using SmartPLS because it can be used as a measuring tool in SEM analysis more easily, quickly and efficiently. The test results show that perceived product quality has a significant positive effect on purchase intention. Positively perceived product quality makes a strong impression on consumers, increasing their trust in the retailer. However, low consumer confidence in retailers can result in decreased purchase intentions due to uncertainty and doubts about the quality of the products or services offered. In addition, price sensitivity also moderates the relationship between perceived product quality and purchase intention. This research provides insight into the interrelationships between perceived product quality, consumer trust, price sensitivity, and purchase intention in the context of informal small retailers, which can enrich marketing theories related to consumer behavior and purchasing decisions.
Analysis of the Use of Particle Swarm Optimization on Naïve Bayes for Classification of Credit Bank Applications Religia, Yoga Religia; Pranoto, Gatot Tri; Suwancita, I Made
JISA(Jurnal Informatika dan Sains) Vol 4, No 2 (2021): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v4i2.946

Abstract

The selection of prospective customers who apply for credit in the banking world is a very important thing to be considered by the marketing department in order to avoid non-performing loans. The website www.kaggle.com currently provides South German Credit data in the form of supervised learning data. The use of data mining techniques makes it possible to find hidden patterns contained in large data sets, one of which is using classification modeling. This study aims to compare the classification of South German Credit data using the Naïve Bayes algorithm and compare the classification of South German Credit data using the Naïve Bayes algorithm with particle swarm optimization (PSO). The test was carried out using a confusion matrix to determine the accuracy, precision and recall values of the research model. Based on the test, it is known that PSO is able to increase the accuracy and recall of Nave Bayes, but PSO has not been able to increase the precision value of Nave Bayes. The test results show that PSO optimization gives Naïve Bayes an increase in the value of accuracy by 0.46%, and gives Naïve Bayes an increase in recall value by 3.02%. 
Grouping of Village Status in West Java Province Using the Manhattan, Euclidean and Chebyshev Methods on the K-Mean Algorithm Pranoto, Gatot Tri; Hadikristanto, Wahyu; Religia, Yoga
JISA(Jurnal Informatika dan Sains) Vol 5, No 1 (2022): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v5i1.1097

Abstract

The Ministry of Villages, Development of Disadvantaged Areas and Transmigration (Ministry of Village PDTT) is a ministry within the Indonesian Government in charge of rural and rural development, empowerment of rural communities, accelerated development of disadvantaged areas, and transmigration. Village Potential Data for 2014 (Podes 2014) in West Java Province is data issued by the Central Statistics Agency in collaboration with the Ministry of Village PDTT which is in unsupervised data format, consists of 5319 village data. The Podes 2014 data in West Java Province were made based on the level of village development (village specific) in Indonesia, by making the village as the unit of analysis. Base on the Regulation of the Minister of Villages, Disadvantaged Areas and Transmigration of the Republic of Indonesia number 2 of 2016 concerning the village development index, the Village is classified into 5 village status, namely Very Disadvantaged Village, Disadvantaged Village, Developing Village, Advanced Village and Independent Village based on the ability to manage and increase the potential of social, economic and ecological resources. Village status is in fact inseparable from village development that is under government funding support. However, village development funds have not been distributed effectively and accurately according to the conditions and potential of the village due to the lack of clear information about the status of the village. Therefore, the information regarding the villages priority in term of which villages needs more funding and attention from the government is still lacking. Data mining is a method that can be used to group objects in a data into classes that have the same criteria (clustering). One of the algorithms that can be used for the clustering process is the k-means algorithm. Data grouping using k-means is done by calculating the closest distance from data to a centroid point. In this study, different types of distance calculation in the K-means algorithm are compared. Those types are Manhattan, Euclidean and Chebyshev. Validation tests have been carried out using the execution time and Davies Bouldin index. From this test, the data Village Potential 2014 in West Java province have grouped all the 5 status of the village with the obtained number of villages for each cluster is a cluster village Extremely Backward many as 694 villages, cluster Villages 567 villages, cluster village Evolving as much as 1440 villages, the cluster with Desa Maju1557 villages and the cluster Independent Village for 1061 villages. For distance calculation, Chebyshev has the most efficient accumulation time of 1 second compared to Euclidean 1.6 seconds and Manhattan 2.4 seconds. Meanwhile, the Euclidean method has the value, Davies Index most optimal which is 0.886 compared to the Manhattan method 0.926 and Chebyshev 0.990.
South German Credit Data Classification Using Random Forest Algorithm to Predict Bank Credit Receipts Religia, Yoga; Pranoto, Gatot Tri; Santosa, Egar Dika
JISA(Jurnal Informatika dan Sains) Vol 3, No 2 (2020): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v3i2.837

Abstract

Normally, most of the bank's wealth is obtained from providing credit loans so that a marketing bank must be able to reduce the risk of non-performing credit loans. The risk of providing loans can be minimized by studying patterns from existing lending data. One technique that can be used to solve this problem is to use data mining techniques. Data mining makes it possible to find hidden information from large data sets by way of classification. The Random Forest (RF) algorithm is a classification algorithm that can be used to deal with data imbalancing problems. The purpose of this study is to discuss the use of the RF algorithm for classification of South German Credit data. This research is needed because currently there is no previous research that applies the RF algorithm to classify South German Credit data specifically. Based on the tests that have been done, the optimal performance of the classification algorithm RF on South German Credit data is the comparison of training data of 85% and testing data of 15% with an accuracy of 78.33%.
Co-Authors Abdul Mazid Adi Rusdi Agung Nugroho Ahmad Nurhakim Ahmad Nurhakim2 Al Munawir, Al Virizky Arjunitha Alvian Alvin Mubarok Amali Amali Ambarwati, Sri Dwi Ari Anastasya, Ellyn Andi Saputra Anton Dwi Fitriyanto Ari Susanto Arif, Nina Fapari Arvita Emarilis Intani Astuti, Sri Endhri Bella Yoviana Hardini budi purnomo saputro Dani Hamdani Dian Sulistyorini Wulandari Donny Maulana Effendi, Irhas Erni Ratnasari2 Fathi Habibatur Rahman Fathi Habibatur Rahman Firdausi, Asri Sekar Mawar Firdausy, Almer Al Fitriyanto, Anton Dwi Gatot Tri Pranoto Heri Purwanto Heri Susanto Heriyanto2 Heriyanto2 Hidayat, Ravindra Safitra Huda, Miftakul Ikhsan Romli Imam Prayogo Pujiono Jayanti, Ansri Jayanto, Nur Dwi Maulana, Donny Miftakul Huda Muhamad Ekhsan Muhamad Ridwan Muhamad Ridwan Muhamad Syahwildan Muhammad Asrori Muhammad Irhas Effendi, Muhammad Irhas Nabiela, Ibriza Naingolan, Dedy Sunaryo Nanang Tedi Nunu Nurhasanah Nurrohariah Nurrohariah Pamuji, Windy Anindya Pebrian Pebrian Ramawati, Yussi Said, Jamaliah Santosa, Egar Dika Siti Suharyani Sriyanto, Agus Subagio, Hani Suganda, Intan Rizkiawati Suwancita, I Made Tasrim, Tasrim Tiara, Luh Putu Tri Mardiana, Tri Triyono Triyono Wahyu Hadikristanto Wisnalmawati Wisnalmawati Yugi Setyarko Zulfikar Muhamad Hasan