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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Abdimas Pariwisata Economics Development Analysis Journal Journal of Statistics and Data Science
Solimun
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Mathematics Social Sciences Other

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Simulasi Pemodelan Jalur Semiparametrik Truncated Spline pada Kasus Perkembangan Cashless Society Pramaningrum, Dea Saraswati; Iriany, Atiek; Solimun; Budi Astuti, Ani; Haneinanda Junianto, Fachira; Fernandes, Adji
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 12 No 1: Februari 2025
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.20251218679

Abstract

Simulasi merupakan suatu proses merancang model matematis dari sistem yang nyata dengan cara melakukan percobaan terhadap model menggunakan komputer. Pada penelitian ini simulasi untuk memodelkan kasus perkembangan cashless society karena adanya keterbatasan ketersediaan data asli. Pemodelan simulasi dilakukan berdasarkan hasil analisis data asli yang menggunakan analisis jalur semiparametrik truncated spline. Data asli yang digunakan merupakan hasil kuesioner dengan responden sebanyak 100 nasabah bank pengguna m-banking. Perkembangan cashless society merupakan topik yang menarik untuk diteliti karena di Indonesia sendiri terdapat perubahan kebiasaan masyarakat dalam bertransaksi menggunakan non-tunai semenjak mewabahnya virus COVID-19. Hasil penelitian menunjukkan bahwa skenario model yang dapat dijadikan acuan untuk pengambilan keputusan terkait perkembangan cashless society adalah kombinasi model semiparametrik truncated spline berordo linier dengan dua titik knot di mana hanya terdapat satu hubungan nonparametrik pada model. Hasil penelitian dijadikan acuan oleh pemerintah terkhusus pihak bank untuk mendukung perkembangan cashless society.   Abstract Simulation is a process of designing a mathematical model of a real system by conducting experiments on the model using a computer. In this study, a simulation is used to model the case of the development of a cashless society due to the limited availability of original data. Simulation modeling was carried out based on the results of original data analysis using truncated spline semiparametric  path analysis.The original data used was the result of a questionnaire with respondents of 100 bank customers using m-banking. The development of a cashless society is an interesting topic to study because in Indonesia itself there has been a change in people's habits in transacting using non-cash since the outbreak of the COVID-19 virus. The results show that the model scenario that can be used as a reference for decision-making related to the development  of a cashless society is a combination of a semiparametric truncated spline model of a linear order with two knots where there is only one nonparametric relationship in the model. The results of the research are used as a reference by the government, especially the bank to support the development of a cashless society.
Analyzing The Development of Cashless Society Using the Structural Equation Modeling Nurdin, Muhammad; Fernandes, Adji; Sumarminingsih, Eni; Solimun; Ullah, Muhammad
Economics Development Analysis Journal Vol. 13 No. 4 (2024): Economics Development Analysis Journal
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edaj.v13i4.15874

Abstract

Payment systems continue to evolve alongside advancements in information technology, driving the digitization of financial services and payment instruments. This study examines the influence of Psychological, Socio-Cultural, and Personal Factors on adopting electronic money and the growth of a cashless society, with Financial Technology as a moderating variable. The research involved 1,000 Bank BNI customers in the Jabodetabek area (Jakarta, Bogor, Depok, Tangerang, and Bekasi) actively using BNI Mobile Banking services. The analytical methods employed include Discourse Network Analysis and Structural Equation Modeling to develop a comprehensive analysis model. The results indicate that psychological and personal factors—such as motivation, perception, learning, positive attitude, modern lifestyle, and openness to change—significantly influence electronic money usage. However, socio-cultural factors do not exhibit a significant impact, primarily due to persistent cash usage habits and a lack of trust in technology. This study highlights the need for financial education to promote awareness of electronic money benefits and security, develop tailored financial products, and enhance regulatory collaboration between the government and relevant institutions.
Integration Cluster and Path Analysis Based on Science Data in Revealing Stunting Incidents Marchamah, Mamlu’atul; Fernandes, Adji Achmad Rinaldo; Solimun; Wardhani, Ni Wayan Surya; Putri, Henida Ratna Ayu
Journal of Statistics and Data Science Vol. 1 No. 2 (2022)
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/jsds.v1i2.23570

Abstract

The purpose of this research is to utilize big data to explore the factors that influence the prevalence of stunting in Wajak Regency, model these factors using integrated cluster analysis and` path analysis model, and develop an information system for stunting incidence modeling. This study uses a descriptive and explanative approach, namely using Discourse Network Analysis, cluster analysis, path analysis, and integration of cluster and path analysis. The sample of this research is children under five in Wajak District who were selected using stratified random sampling. The distance measure that has the highest model goodness value in modeling using the integration of cluster analysis with path analysis is the Mahalanobis distance measure. The cluster analysis with Mahalanobis distance produces 3 clusters where cluster one is a toddler who has a low stunting category, cluster two is a group of toddlers who has a moderate stunting category, and cluster three is a group of toddlers who has a high stunting category. The originality of this study is the application of Discourse Network Analysis analysis to obtain new variables followed by a comparison of three distances namely euclidean, manhattan, and mahalanobis in modeling using cluster integration and parametric paths.
Analisis Model Jalur Longitudinal Berbasis Glmm Pada Kasus Pasien Penderita Tuberkulosis Paru: Studi Simulasi Fernandes, Adji; Rahmanda, Lalu Ramzy; Solimun
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 12 No 3: Juni 2025
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2025128415

Abstract

Evaluasi dan monitoring pada pasien penderita tuberkulosis paru membutuhkan pengobatan yang tepat. Dalam beberapa tahun terakhir, pada tahap monitoring telah ditemukan penanda biologis yang disebut suPAR (soluble urokinase plasminogen activator receptor) berpotensi sebagai biomarker untuk mendiagnosis, prognosis, dan evaluasi penyakit paru. Penelitian ini bertujuan untuk menyelidiki faktor-faktor yang berhubungan dengan pasien tuberkulosis paru dan menentukan faktor yang paling signifikan berdasarkan waktu pengamatan, indeks massa tubuh, dan laju endapan darah. Sampel sebanyak 60 pasien tuberkulosis paru di Malang dievaluasi secara longitudinal setiap dua minggu sekali selama 13 periode. Dalam penelitian ini, kami menggunakan analisis jalur dengan generalized linear mixed model (GLMM) dengan metode Weighted Least Square (WLS) untuk menyelidiki hubungan antarvariabel terhadap kadar monosit dan kadar suPAR pada pasien tuberkulosis paru. dan membandingkan hasilnya dengan Ordinary Least Square (OLS). Hasil penelitian menunjukkan bahwa model terbaik adalah GLMM dengan struktur kovarian unstructured dengan AIC terkecil dan R2 terbesar. Selain itu, indeks massa tubuh memiliki pengaruh yang paling signifikan terhadap kadar monosit dan suPAR pada pasien TB paru. Oleh karena itu, sangat penting untuk mempertimbangkan indeks massa tubuh pasien dalam evaluasi dan monitoring pasien tuberkulosis paru.   Abstract Evaluating and monitoring patients with pulmonary tuberculosis needs an appropriate treatment. In recent years, a biological marker called suPAR (soluble urokinase plasminogen activator receptor) has been identified in the monitoring stage and has the potential as a biomarker for diagnosing, prognosing, and monitoring disease. This study aims to investigate the factors associated with patients with pulmonary tuberculosis and determine the most significant factor based on observation time, BMI, and ESR. A total of 60 patients diagnosed with pulmonary tuberculosis in Malang were included and evaluated longitudinally every two weeks over 13 periods. In this study, we use path analysis with the generalized linear mixed model (GLMM) using the Weighted Least Square (WLS) method to investigate the relationship between the variables on monocyte and suPAR levels in pulmonary tuberculosis patients and compare the results those obtained using the Ordinary Least Square (OLS) method. The results demonstrate that the optimal model is the GLMM with an unstructured covariance structure, exhibiting the smallest AIC and the largest R2. Additionally, body mass index exerts the most significant effect on monocyte and suPAR levels in patients with pulmonary tuberculosis. Consequently, considering patient’s BMI when evaluating and monitoring patients with pulmonary tuberculosis is imperative.
Kombinasi Analisis Bibliometrik dengan Latent Dirichlet Allocation sebagai Pemodelan Topik Cashless Society Sepriadi, Hanifa; Rudiat Sekarsari, Cindy; Iriany, Atiek; Solimun; Rinaldo Fernandes, Adji Achmad
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 12 No 2: April 2025
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2012129244

Abstract

Era digitalisasi dan komputasi telah dimulai, ditandai dengan munculnya teknologi digital yang merasuk ke berbagai aspek kehidupan, sementara data juga terus berkembang menjadi big data.  Setelah era covid 19, metode pembayaran non-tunai berkembang sangat pesat, sehingga banyak penelitian mengenai cashless society. Tujuan dari penelitian ini adalah memodelkan topik-topik yang berkaitan dengan cashless society untuk mendapatkan variabel dan indikator yang terkait dengan menggunakan analisis bibliometrik dan latent dirichlet allocation. Data penelitian ini berasal dari artikel publikasi ilmiah dan hasil web scrapping di twitter yang bertemakan cashless society. Hasil penelitian menunjukkan bahwa terdapat 5 variabel dan 21 indikator yang berhubungan dengan cashless society.   Abstract The era of digitalization and computing has begun, marked by the emergence of digital technology which permeates various aspects of life, while data also continues to develop into big data.  After the covid 19 era, non-cash payment methods developed very rapidly, so there were many studies on the cashless society. The purpose of this research is to model topics related to the cashless society to obtain related variables and indicators using bibliometric analysis and latent dirichlet allocation. This research data comes from scientific publication articles and web scrapping results on twitter with the theme of cashless society. The results showed that there are 5 variables and 21 indicators related to cashless society.
Pemetaan Harmonisasi Kelembagaan untuk Penguatan Kelembagaan Pokdarwis Desa Sumberputih dalam Pengelolaan Hutan Pinus Semeru (HPS) Solimun; Adji Achmad Rinaldo Fernandes; Riyanti Isaskar; Djoko Pramono
Jurnal Abdimas Pariwisata Vol. 6 No. 2 (2025): Jurnal Abdimas Pariwisata
Publisher : Sekolah Tinggi Pariwisata AMPTA Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Mapping Institutional Harmonisation for Strengthening the Institutional Capacity of Pokdarwis in Sumberputih Village in the Management of Semeru Pine Forest (HPS) This study explores the potential and challenges of tourism management in Sumberputih Village, Malang Regency, with a focus on the Semeru Pine Forest. Despite having great tourism potential, current management is hampered by infrastructure problems and a lack of coordination between agencies. Using the Latent Dirichlet Allocation (LDA) method and K-Means Cluster Analysis, this study identified two main clusters: Cluster 1, characterised by moderate management and infrastructure conditions, and Cluster 2, which had better conditions. The analysis reveals that the cluster with better management (Cluster 2) achieves higher scores in organisational management, facilities and infrastructure, and community participation compared to Cluster 1. These findings underscore the need for institutional harmonisation and infrastructure improvement to increase the effectiveness of tourism management, as well as contribute to the development of sustainable tourism management models
Co-Authors Adji Achmad Rinaldo Fernandes Atiek Iriany Budi Astuti, Ani Djoko Pramono Eni Sumarminingsih Fernandes, Adji Fernandes, Adji Achmad Rinaldo Haneinanda Junianto, Fachira Marchamah, Mamlu’atul Muhammad Nurdin Ni Wayan Surya Wardhani Pramaningrum, Dea Saraswati Putri, Henida Ratna Ayu Rahmanda, Lalu Ramzy Rinaldo Fernandes, Adji Achmad Riyanti Isaskar Rudiat Sekarsari, Cindy Sepriadi, Hanifa Ullah, Muhammad