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E-Business Innovation on SME Resilience Model: The Moderating Role of Financial Literacy Wiwin Rosmawati; Loso Judijanto; Amilusholihah; Encep Sopandi; Zainal Arifin; Fandi Achmad
Journal of Economics, Business, and Accountancy Ventura Vol. 28 No. 1 (2025): April-July 2025
Publisher : Universitas Hayam Wuruk Perbanas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14414/jebav.v28i1.4729

In the era of advanced digitalization, the ability of SMEs to adapt and adopt e-business innovation is a key factor to survive and compete in the global market. This study aims to determine the effect of e-business innovation in improving the resilience of SMEs and explore the extent to which financial literacy moderates the relationship between the adoption of e-business innovation and SME resilience. This research was conducted in the printing sector of Malang City, Indonesia, which has around 2,145 printing SMEs based on data from the Malang City Cooperative Office in 2023. The research method uses a quantitative approach with a Structural Equation Model (SEM) assisted by the Smart PLS application. The sampling technique used purposive sampling with a sample of 100 SMEs selected based on criteria such as business size, level of e-business technology adoption, and financial literacy. The results showed that the variables studied had a significant and positive effect so that it was accepted. In addition, strong financial literacy can strengthen the relationship between e-business innovation and SME resilience. These findings underscore the importance of improving financial literacy among SMEs as part of the strategy to maximize the benefits of ebusiness innovation in improving SMEs' business resilience.

Designing a Knowledge-Based Smart Community System to Strengthen Community Governance Fahmy Habib Hasanudin; Fandi Achmad; Hilman Dwi Anggana; Dio Pasa Pramudis; Muhammad Rivaldi; Muhamad Daffa Rial
JRSI (Jurnal Rekayasa Sistem dan Industri) Vol. 13 No. 01 (2026): Jurnal Rekayasa Sistem & Industri
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v13i01.10504

The development of digital technology drives the need for more transparent, participatory, and data-driven community administration. However, in many residential communities, administrative management is still carried out manually, fragmented, and lacks knowledge documentation, potentially leading to inefficiency and low community participation. This study aims to design and implement a Smart Community Platform based on data and knowledge management as an appropriate technology to improve administrative transparency and community participation in the Paguyuban Arcadia, G-Land Arcadia area, Bandung Regency. The research method used is a participatory approach and Rapid Application Development (RAD), which includes the stages of needs planning, system design, prototype development, and system implementation and evaluation by involving administrators and residents as users. The results of the study indicate that the implementation of the Smart Community Platform can improve the transparency of administrative information, the efficiency of citizen data management, and the intensity of community participation through e-administration features, digital forums, and data-based information notifications. In addition, the implementation of knowledge management contributes to documenting and distributing community knowledge in a structured manner. The implications of this research show that the integration of digital technology, data, and knowledge management in the context of local communities can be a model for strengthening sustainable and adaptive community governance to digital transformation.

Organizational Performance-Based Segmentation of Batik SMEs Using K-Means Clustering Reza Aditya; Bernieka Desyaranti; Fandi Achmad
JRSI (Jurnal Rekayasa Sistem dan Industri) Vol. 13 No. 01 (2026): Jurnal Rekayasa Sistem & Industri
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v13i01.10597

Batik Small and Medium Enterprises (SMEs) play a strategic role in the economy and cultural preservation in Indonesia, yet exhibit varying levels of organizational performance. This heterogeneity demands a more objective and data-driven segmentation approach so that development strategies and policies can be implemented effectively. This study aims to segment Batik SMEs based on organizational performance using the K-Means clustering method. Primary data were obtained through a structured questionnaire survey of 56 Batik SMEs, with organizational performance indicators covering operational and financial performance. All data were normalized using StandardScaler to ensure scale equality between variables. The optimal number of clusters was determined using the Elbow method and the silhouette coefficient. The analysis results showed that a two-cluster configuration was the optimal solution with the highest silhouette coefficient value. The K-Means model resulted in two segments of Batik SMEs with significantly different organizational performance characteristics: SMEs with low organizational performance and SMEs with high organizational performance. Centroid value analysis and cluster visualization confirmed clear cluster separation and a good level of internal homogeneity. These findings indicate that segmenting Batik SMEs based on organizational performance using an unsupervised learning approach is effective in uncovering the structure of performance heterogeneity. This research contributes to providing a data-driven segmentation framework that can be utilized as a tool to support managerial decision-making and policy formulation to sustainably improve the performance and competitiveness of Batik SMEs.

Analytical Data for Sewing Production Efficiency: A Model Based on Artificial Neural Networks (ANNs) Fadil Abdullah; Afriani Kusumadewi; Tina Martina; - Kuswinarti; Fandi Achmad
Texere Vol 23, No 2 (2025): Texere Volume 23 Nomor 2 Tahun 2025
Publisher : Politeknik STTT Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53298/texere.v23i2.07

The labor-intensive apparel manufacturing sector is continually focused on meeting output goals, necessitating continuous improvements in production efficiency. Achieving targets at the lowest feasible cost is crucial for production management efficiency, especially in clothing production. The sewing component plays a vital role in enhancing the usefulness of clothing through a series of steps to produce ready-made garments. To optimize this process, we developed a model using an artificial intelligence (AI)-based method, specifically Artificial Neural Networks (ANNs), to enhance sewing production efficiency. The model focused on optimizing parameters that significantly influenced efficiency. Our results demonstrate that the ANNs model, with 1000 iterations, successfully replicates empirical data with an R-squared value of 0.98. The research introduces the novel use of an ANNs model with a five-node configuration and 1000 iterations, proving effective in optimizing sewing process parameters. This AI-based approach is a powerful tool for improving production efficiency in the textile industry, making significant theoretical and practical contributions. The findings offer substantial practical implications for practitioners in the textile industry and provide a robust framework for optimizing sewing production process parameters to achieve higher efficiency.

Eksplorasi Persepsi Pengguna terhadap Tempat Sampah di Institusi Pendidikan Tinggi Menggunakan Sentiment Analysis dan Text Mining Azzahra Putri Suryaneda; Muhamad Daffa Rial; Muhammad Avin Sena; Fandi Achmad
Technologia : Jurnal Ilmiah Vol 16 No 2 (2025): Technologia (April)
Publisher : Fakultas Teknologi Informasi, Universitas Islam Kalimantan Muhammad Arsyad Al Banjari, di bawah koordinasi UPT Publikasi dan Pengelolaan Jurnal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31602/tji.v16i2.18477

Pengelolaan sampah di institusi pendidikan tinggi menjadi tantangan yang memengaruhi kebersihan lingkungan kampus dan reputasi institusi. Di Telkom University, permasalahan seperti ketersediaan tempat sampah yang terbatas, penempatan kurang strategis, dan pengangkutan tidak rutin menyebabkan penumpukan sampah, bau tidak sedap, dan gangguan kenyamanan civitas akademika, yang berpotensi menurunkan citra kampus sebagai institusi berwawasan lingkungan. Penelitian ini bertujuan merancang strategi pengelolaan sampah yang efektif dan efisien dengan mengidentifikasi area prioritas penempatan tempat sampah, menentukan lokasi strategis, serta mengoptimalkan frekuensi pengangkutan berdasarkan pemetaan pola keluhan. Metode penelitian menggunakan analisis sentimen dan text mining (wordcloud) dengan Support vector machine (SVM) sebagai algoritma utama karena memiliki akurasi tertinggi (75%) dibandingkan Naive Bayes dan LSTM. Data dikumpulkan melalui kuesioner dari 100 responden menggunakan cluster random sampling dari tujuh fakultas. Hasil penelitian menunjukkan 95 sentimen positif, 49 netral, dan 69 negatif, dengan kata kunci dominan seperti "menggunung", "kepenuhan", dan "bau", yang mencerminkan masalah kapasitas dan kebersihan. Implikasi penelitian memberikan wawasan berbasis data bagi stakeholder dalam merancang ulang penempatan tempat sampah, meningkatkan jadwal pengangkutan, dan menyusun program edukasi, guna mendukung citra Telkom University sebagai kampus hijau berkelanjutan.Kata kunci: Analisis Sentimen, Tempat Sampah, Wordcloud, Support Vector Machine, Pengelolaan Sampah

E-Business Innovation on SME Resilience Model: The Moderating Role of Financial Literacy Wiwin Rosmawati; Loso Judijanto; Amilusholihah; Encep Sopandi; Zainal Arifin; Fandi Achmad
Journal of Economics, Business, & Accountancy Ventura Vol. 28 No. 1 (2025): April 2025
Publisher : Research Center and Community Services (PPPM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14414/jebav.v28i1.4729

In the era of advanced digitalization, the ability of SMEs to adapt and adopt e-business innovation is a key factor to survive and compete in the global market. This study aims to determine the effect of e-business innovation in improving the resilience of SMEs and explore the extent to which financial literacy moderates the relationship between the adoption of e-business innovation and SME resilience. This research was conducted in the printing sector of Malang City, Indonesia, which has around 2,145 printing SMEs based on data from the Malang City Cooperative Office in 2023. The research method uses a quantitative approach with a Structural Equation Model (SEM) assisted by the Smart PLS application. The sampling technique used purposive sampling with a sample of 100 SMEs selected based on criteria such as business size, level of e-business technology adoption, and financial literacy. The results showed that the variables studied had a significant and positive effect so that it was accepted. In addition, strong financial literacy can strengthen the relationship between e-business innovation and SME resilience. These findings underscore the importance of improving financial literacy among SMEs as part of the strategy to maximize the benefits of ebusiness innovation in improving SMEs' business resilience.

Perancangan Sistem Informasi Bimbingan Konseling Berbasis Web Pada SMK XYZ Menggunakan Metode Scrum Rismada Krisna Anugrah; Fandi Achmad; Amelia Kurniawati; Afrin Fauzya Rizana
Technologia : Jurnal Ilmiah Vol 15 No 4 (2024): Technologia (Oktober)
Publisher : Fakultas Teknologi Informasi, Universitas Islam Kalimantan Muhammad Arsyad Al Banjari, di bawah koordinasi UPT Publikasi dan Pengelolaan Jurnal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31602/tji.v15i4.15713

Masalah: Bimbingan dan Konseling (BK) di sekolah adalah komponen yang sangat penting untuk memastikan bahwa siswa mencapai potensi mereka secara optimal. Namun, terdapat masalah yang terjadi pada proses BK di SMK XYZ seperti ketidakseimbangan antara jumlah siswa dan jumlah guru BK di sekolah, proses pengelolaan data administrasi yang manual, berkas yang terselip maupun hilang.Tujuan: penelitian ini bertujuan untuk merancang sistem informasi berbasis web untuk mendukung kegiatan Bimbingan Konseling pada SMK XYZ agar lebih optimal.Metode: Metode yang digunakan pada penelitian ini yaitu metode scrum. Tahapan dalam melakukan perancangan sistem informasi berbasis web dimulai dari penentuan peran tim scrum, identifikasi product backlog oleh product owner, selanjutnya dilakukan tahapan-tahapan scrum yang terdiri dari lima tahap, yaitu sprint planning, eksekusi sprint backlog, daily scrum, sprint review dan sprint retrospective. Permodelan sistem yang dilakukan pada penelitian ini menggunakan diagram Unified Modelling Language (UML). Pengujian sistem pada penelitian ini menggunakan dua metode, yaitu uji fungsionalitas sistem dan user acceptance test.Hasil: Hasil dari penelitian ini adalah sistem informasi BK yang dapat digunakan oleh SMK XYZ yang memiliki berbagai fitur untuk mendukung kegiatan Bimbingan Konseling.Kesimpulan: Penelitian ini dapat memberikan panduan praktis bagi SMK XYZ untuk meningkatkan efisiensi penyediaan layanan BK, manajemen data siswa dan informasi bimbingan konseling, sehingga sekolah dapat mengoptimalkan penggunaan sumber daya dan waktu dalam memberikan layanan kepada siswa

Pendekatan K-Means Clustering untuk Evaluasi Kinerja Mahasiswa dalam Sistem Project-Based Learning Berdasarkan Motivasi dan Kemampuan Pemecahan Masalah Intan Permatasari; Bela Pitria Hakim; Fandi Achmad
Technologia : Jurnal Ilmiah Vol 16 No 1 (2025): Technologia (Januari)
Publisher : Fakultas Teknologi Informasi, Universitas Islam Kalimantan Muhammad Arsyad Al Banjari, di bawah koordinasi UPT Publikasi dan Pengelolaan Jurnal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31602/tji.v16i1.16896

Prestasi akademik mahasiswa merupakan indikator utama dalam mengevaluasi efektivitas pendidikan tinggi. Namun, pencapaian prestasi mahasiswa yang optimal menghadapi berbagai tantangan, khususnya dalam mata kuliah Manajemen Proyek yang menggunakan pendekatan Pembelajaran Berbasis Proyek (PjBL). Berdasarkan pengamatan, mahasiswa seringkali kesulitan memenuhi standar akademik karena faktor internal dan eksternal, terutama yang terkait dengan motivasi dan keterampilan memecahkan masalah. Oleh karena itu, penelitian ini bertujuan untuk memetakan kinerja mahasiswa dengan menilai prestasi mahasiswa dan mengkaji peran motivasi, kemampuan pemecahan masalah dalam konteks PjBL pada mata kuliah Manajemen Proyek di Telkom University. Penelitian menggunakan K-Means clustering untuk mengelompokkan kinerja mahasiswa berdasarkan tingkat motivasi dan kemampuan pemecahan masalah, yang memberikan analisis komprehensif tentang dampak faktor-faktor tersebut terhadap prestasi akademik. Hasilnya menunjukkan terdapat 4 cluster dalam pola kinerja yang berbeda di antara kelompok, yang menyoroti pentingnya motivasi dan pemecahan masalah dalam keterlibatan mahasiswa dan penyelesaian proyek yang berhasil. Mahasiswa yang tergolong dalam cluster 1 menunjukkan kinerja akademik tertinggi, sedangkan mahasiswa dalam cluster 3 menunjukkan kinerja terendah. Temuan penelitian ini menawarkan wawasan berharga bagi para pendidik dan lembaga untuk mengembangkan strategi yang tepat sasaran yang meningkatkan motivasi dan kemampuan memecahkan masalah pada mahasiswa.

Evaluating the Performance Efficiency of the Banyuwangi Tourism App Using ISO 25010 and PLS-SEM Approach Fandi Achmad; Ibnu Zulkarnain; Ifrando Juandika
Journal of Engineering Technology and Science Integration (JETSI) Vol. 1 No. 1 (2026): Journal of Engineering Technology and Science Integration
Publisher : PT. Nordeo Scholar Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68627/jetsi.v1i1.2

The Banyuwangi Tourism App serves as a key digital platform for providing tourism-related information and services in Banyuwangi, East Java, Indonesia, including destinations, attractions, accommodations, culinary offerings, events, and supporting facilities. However, users have reported that the application's performance has not been optimal and tends to decline over time. Therefore, a comprehensive evaluation of application performance is essential to ensure optimal user experience and improve the effectiveness of tourism services. This study aims to analyze the performance quality of the Banyuwangi Tourism App using the ISO 25010 quality model, focusing on performance efficiency attributes. A quantitative research approach was employed. Hypothesis testing was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM) based on data collected from 166 users of the Banyuwangi Tourism App. The results indicate that out of eight proposed hypotheses, seven variables have a positive and significant effect on the application's performance efficiency, while one variable does not show a significant influence. These findings provide empirical insights into the key determinants of application performance from the user perspective. This study contributes by offering a structured and theory-driven evaluation of tourism application performance using ISO 25010 integrated with PLS-SEM analysis. The results can assist developers and stakeholders in prioritizing improvements on critical quality attributes, thereby enhancing application efficiency and delivering a better user experience.

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