Article Per Year (5 Year)
p-Index From 2021 - 2026
3.441
P-Index
This Author published in this journals
All Journal Media Ekonomi dan Manajemen Serat Acitya Jurnal Penelitian Ekonomi dan Bisnis Jurnal Bina Praja Aptisi Transactions on Technopreneurship (ATT) BALANCE Jurnal Akuntansi dan Bisnis Jurnal E-Bis: Ekonomi Bisnis Djtechno: Jurnal Teknologi Informasi Jurnal Pengabdian Masyarakat Nusantara Journal Of Business, Finance, and Economics (JBFE) International Journal of Management Science and Information Technology (IJMSIT) Jurnal Ekonomi dan Bisnis Digital (MINISTAL) Jurnal Cakrawala Informasi (JCI) International Journal of Economics and Management Research Jurnal Pengabdian Kepada Masyarakat West Science Journal Economic and Entrepreneurship Journal of Business Management and Economic Development JIMEB: Jurnal Ilmiah Manajemen, Ekonomi dan Bisnis
Jaluanto Sunu Punjul Tyoso
Universitas 17 Agustus 1945 Semarang
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences Other

Published : 26 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 26 Documents
Search

 1   2   3 
HYBRID DEEP LEARNING RANDOM FOREST OPTIMASI PEMILIHAN FITUR UNTUK PREDIKSI CHURN INDUSTRI TELEKOMUNIKASI Mutiarachim, Atika; Marutho, Dhendra; Yuniarti, Nur Atika; Pramudya, Ryan Arya; Tyoso, Jaluanto Sunu Punjul
Djtechno: Jurnal Teknologi Informasi Vol 6, No 2 (2025): Agustus
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/djtechno.v6i2.7052

Abstract

Customer churn merupakan tantangan kritis dalam industri telekomunikasi yang berdampak signifikan terhadap profitabilitas perusahaan. Penelitian ini mengusulkan pendekatan hybrid machine learning untuk memprediksi customer churn dengan mengintegrasikan deep learning dan random forest serta mengoptimalkan performa melalui seleksi fitur chi-square dan information gain. Dataset IBM Telco Customer Churn yang terdiri dari 7.043 sampel dengan 31 atribut digunakan dalam penelitian ini. Metodologi penelitian meliputi preprocessing data, implementasi 10-fold cross validation, aplikasi metode seleksi fitur, dan evaluasi performa menggunakan confusion matrix serta metrik klasifikasi biner. Hasil penelitian menunjukkan bahwa implementasi seleksi fitur secara signifikan meningkatkan akurasi prediksi, di mana akurasi tanpa seleksi fitur mencapai 97.00% (Deep Learning) dan 98.68% (Random Forest), sedangkan dengan seleksi fitur chi-square meningkat menjadi 97.97% (Deep Learning) dan 98.72% (Random Forest). Performa terbaik dicapai oleh kombinasi Random Forest dengan seleksi fitur information gain yang menghasilkan akurasi 98.75%, precision 98.37%, recall 99.96%, dan F-measure 99.16%. Temuan ini membuktikan efektivitas kombinasi algoritma ensemble dengan teknik seleksi fitur dalam mengoptimalkan prediksi customer churn untuk mendukung strategi retensi pelanggan yang lebih tepat sasaran
The Effect of Business Environment and Resource Adequacy on SME Performance Tyoso, Jaluanto Sunu Punjul; Amalia, Mei Rani; Wardoyo, Dwi Urip
West Science Journal Economic and Entrepreneurship Vol. 1 No. 02 (2023): West Science Journal Economic and Entrepreneurship
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsjee.v1i02.264

Abstract

The present quantitative analysis delves into the complex dynamics that effect the performance of Small and Medium Enterprises (SMEs) in Indonesia. Specifically, the study examines the influence of resource adequacy and the business climate. Regression analysis is used in this robust research design study to investigate the links between SME performance and financial resources, human resources, regulatory frameworks, market competition, technical advancements, and economic conditions and technological resources. The results show complex correlations, highlighting the importance of regulatory assistance, economic stability, competitive market responses, and thorough resource management for the success of small and medium-sized enterprises. The research offers concrete insights that will assist policymakers, business practitioners, and the academic community, adding to the continuing conversation on SME development in Indonesia.
The Influence of Strategic Decision Making, Business Performance, and Employee Development on Big Data Technology in HR: A Case Study of a FinTech Company in Jakarta Tyoso, Jaluanto Sunu Punjul; Amaludin, Amaludin; Hendriana, Tengku Ine; Radnan, Yokie
West Science Journal Economic and Entrepreneurship Vol. 2 No. 02 (2024): West Science Journal Economic and Entrepreneurship
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsjee.v2i02.879

Abstract

This study investigates the influence of strategic decision making, business performance, and employee development on the adoption of Big Data technology in HR within a FinTech company based in Jakarta. Using Structural Equation Modeling (SEM) with Partial Least Squares (PLS), data were collected through an online survey administered to employees involved in HR management. The results reveal significant positive relationships between strategic decision making, business performance, employee development, and the adoption of Big Data technology in HR. Specifically, strategic decision making and employee development are found to positively influence the adoption of Big Data technology in HR, while business performance is positively associated with both strategic decision making and employee development. These findings underscore the importance of strategic HR practices and investments in employee development for leveraging Big Data technology effectively in HR management. The study contributes to a deeper understanding of the factors driving the adoption of Big Data technology in HR and provides practical implications for HR practitioners and organizational leaders.
The Importance of Employee Performance of Civil Servant in Near-Retirement Phase at Pemalang Residence Putranti, Honorata Ratnawati Dwi; Tyoso, Jaluanto Sunu Punjul; Ismiyarto, Ismiyarto
Jurnal Bina Praja Vol 10 No 2 (2018)
Publisher : Research and Development Agency Ministry of Home Affairs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21787/jbp.10.2018.263-274

Abstract

The aim of this research was to find a management model for the civil servant in approaching the retirement (near-retirement phase). The retirement period experienced by each person at the end of his/her working period is expected to provide comfort for the next life. The research applied case study design with qualitative approach. The interview was conducted in depth (in-depth interview) in which the informants were the civil servants in the Regional Secretariat of Pemalang District. The data credibility was carried out by using data triangulation. The findings of this research indicated that the internal social relationship of male employees towards retirement was more active than female employees. Moreover, male employees cared more about health factors than female employees. Male employees took more time before retirement whereas female employees were women are more sincere. In addition, they needed social support on the eve of retirement such as financial preparation, role adjustment and retirement activities. Family and colleague’s support was the most important support needed before retirement
Digital Resilience Framework for MSME Development in Facing Global Market Volatility Setyawan, Antonius Ary; Setyawati, Endang; Tyoso, Jaluanto Sunu Punjul
Aptisi Transactions On Technopreneurship (ATT) Vol 8 No 1 (2026): March
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v8i1.800

Abstract

This study aims to develop a Digital Resilience Framework for Indonesian MSME by integrating digital innovation, adaptive capabilities, marketing reach, and strategic collaboration in response to global market volatility. Based on the Dynamic Capabilities Theory, Innovation Diffusion Theory, Resource-Based View, and Network Theory, this study examines how digital innovation is transformed into enhanced SMEs performance through the development of dual capabilities within a collaborative ecosystem. A quantitative approach using SEM-PLS was employed to analyze data from 350 SMEs in Central Java, collected through stratified random sampling. Measurements using a 1-5 Likert scale were used to assess digital innovation, digital adaptive capabilities, digital marketing reach capabilities, SMEs performance, and SMEs collaboration. The findings reveal that digital innovation has a significant influence on digital adaptive capabilities and digital marketing reach, both of which positively impact SMEs performance. However, SMEs collaboration does not significantly moderate the relationship between innovation and capability. These findings emphasize the importance of strengthening adaptive and marketing capabilities as drivers of digital transformation. The study contributes theoretically through an integrative model that demonstrates a sequential transformation process, expands Dynamic Capabilities Theory in a digital context, and challenges conventional assumptions of Network Theory regarding the role of collaboration. Practical implications suggest that SMEs prioritize capability development as a mediating mechanism for digital transformation, while policymakers should design interventions focused on capability development rather than technology adoption alone. This study encourages further research exploring complex forms of collaboration and longitudinal evaluations of SMEs digital capability development.
Moderating Role of MSME Collaboration on Digital Innovation Toward Adaptive Capability and MSME Performance in Indonesia Setyawan, Antonius Ary; Setyawati, Endang; Tyoso, Jaluanto Sunu Punjul
Jurnal Ekonomi dan Bisnis Digital Vol. 4 No. 4 (2025): December 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ministal.v4i4.15832

Abstract

This study investigates the effect of digital innovation on MSME performance in Indonesia, focusing on the mediating role of digital adaptive capability and the moderating effect of MSME collaboration. Drawing on the Dynamic Capabilities Theory, a structural equation model was developed and tested using data from 100 MSMEs across various sectors. The results indicate that digital innovation has a significant direct effect on performance and also enhances adaptive capability. However, adaptive capability itself does not significantly influence performance, suggesting it may require complementary factors to be effective. Contrary to expectations, MSME collaboration did not moderate the effects of innovation or adaptive capability on performance, implying that collaboration must be strategically aligned to be beneficial. The findings highlight the need for MSMEs to focus on internal digital readiness while being cautious about over-relying on external partnerships. The study contributes to the digital transformation literature in emerging economies and provides practical guidance for MSME policy and strategy. Future research is recommended to use longitudinal data and explore additional moderators or mediators in the innovation–performance relationship.
Co-Authors A. Amsar Amaludin Amaludin Amaludin, Amaludin Amsar Amsar Amsar Amsar Amsar Amsar Astuti, Wiwit Erika Windi Atika Mutiarachim Caecilia Sri Haryanti Deewar Mahesa Dhendra Marutho Ditha, Rahani Risna Dwi Urip Wardoyo Dyah Wiidyaningrum Endang Setyawati Endang Swastuti Hastin Andriyani Hendriana, Tengku Ine Heru Eko Prasetyo Ismiyarto Ismitarto Janti Soegiastuti Mei Rani Amalia Mei Rani Amalia Muchayatin, Muchayatin Mutiarachim, Atika Oktavia Priska Pratiwi Pertiwi, Wahyu Ayuni Radnan, Yokie Ratnawati Dwi Putranti Honorata Ryan Arya Pramudya, Ryan Arya Setyawan, Antonius Ary Siti Aminah Siti Mardiyah Sukardi Sukardi Tengku Ine Hendriana Yokie Radnan Yuniarti, Nur Atika