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All Journal Jurnal Pendidikan Ekonomi (JUPE) CAUCHY: Jurnal Matematika Murni dan Aplikasi Jurnal Mahasiswa Statistik Jurnal Manajemen Pendidikan Journal of Innovation and Applied Technology Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Aplikasi Bisnis dan Manajemen (JABM) E-Journal STRATEGIC Kinerja: Jurnal Ekonomi dan Manajemen Civil Engineering Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan JTAM (Jurnal Teori dan Aplikasi Matematika) Jurnal Keperawatan Muhammadiyah Zero : Jurnal Sains, Matematika, dan Terapan eCo-Buss Jurnal Statistika dan Aplikasinya Bisnis Net : Jurnal Ekonomi dan Bisnis PROFESSIONAL HEALTH JOURNAL JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi) Nursing Information Journal MATHunesa: Jurnal Ilmiah Matematika Jurnal Ilmiah Manajemen, Bisnis dan Kewirausahaan Journal of Trends Economics and Accounting Research Jurnal Manajemen Jurnal Ekonomika Dan Bisnis Jurnal Riset Ilmu Ekonomi dan Bisnis Journal of Accounting and Finance Management (JAFM) Journal of Indonesian Psychological Science (JIPS) Jurnal Pengabdian Masyarakat Bhinneka Jurnal Ekonomika Manajemen Dan Bisnis El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam MAPAN: Jurnal Manajemen Akuntansi Palapa Nusantara Jurnal Pengabdian Masyarakat Journal of Ekonomics, Finance, and Management Studies Journal of Agriprecision & Social Impact International Journal of Economics and Management Research International Journal of Economics, Science, and Education (IJESE)
Achmad Efendi
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Religion Agriculture, Biological Sciences & Forestry Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Health Professions Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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Sensitivity of Bayesian Truncated Spline Regression to Prior and Knot Configuration in Stunting Models Zahra, Septi Nafisa Ulluya; Fernandes, Adji Ahmad Rinaldo; Efendi, Achmad; Solimun, Solimun; Nasywa, Alfiyah Hanun; Junianto, Fachira Haneinanda
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 10, No 2 (2025): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v10i2.37381

Abstract

This study develops a Bayesian bi-response regression model using a truncated spline approach to examine nonlinear effects of economic, dietary, and environmental factors on nutritional and physical stunting. Sensitivity analysis was conducted to evaluate the influence of prior types and knot numbers on model performance using Deviance Information Criterion (DIC), Root Mean Square Error (RMSE), and bias. Results show that the informative Normal–Gamma prior combination yields the best performance, with the lowest DIC, smallest RMSE, and minimal bias. Models with three knots provide higher predictive accuracy, while noninformative Uniform priors cause instability and overfitting. Overall, the findings indicate that prior specification has a stronger effect on model robustness than the number of knots, emphasizing the importance of informative priors in Bayesian spline modeling for understanding complex, nonlinear determinants of child stunting.
Modeling Fuzzy Geographically Weighted Clustering with Flower Pollination Algorithm for Spatial Optimization and Clustering Gani, Friansyah; Pramoedyo, Henny; Efendi, Achmad
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 10, No 2 (2025): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v10i2.36800

Abstract

This study aims to analyze the clustering of districts/cities in East Nusa Tenggara Province (NTT) using the Fuzzy Geographically Weighted Clustering method optimized through the Flower Pollination Algorithm (FGWC-FPA). The data consist of eight health and sanitation indicators for 2024. The analysis produced two clusters with distinct characteristics. Cluster 1 is dominated by areas with relatively higher rates of complementary feeding and good BCG immunization coverage but still shows a higher proportion of low birth weight (LBW) infants and limited access to drinking water and sanitation. Meanwhile, Cluster 2 demonstrates significant advantages in access to proper drinking water (90.37%) and proper sanitation (83.19%), as well as more optimal Hepatitis B immunization coverage. Evaluation of cluster validity using Classification Entropy (CE) and the Separation Index (SI) shows that the best configuration is obtained at m = 1.5 with c = 2, yielding the lowest CE value (0.584872) and reasonably good cluster separation (SI = 1.069092). Thus, the FGWC-FPA method is capable of producing optimal cluster partitioning and can serve as a basis for formulating more targeted health intervention strategies in NTT.
PENGARUH BUDAYA KERJA DAN KINERJA KARYAWAN Sukma, Melya; Efendi, Achmad; Anitra, Vera
Bisnis-Net Vol 8, No 2: DESEMBER 2025
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/bn.v8i2.6466

Abstract

Penelitian ini untuk mengetahui dan menganalisis pengaruh budaya kerja terhadap kinerja pegawai di Dinas Pemuda dan Olahraga (Dispora) Provinsi Kalimantan Timur. Kinerja karyawan merupakan kunci keberhasilan organisasi, namun sering terhambat oleh budaya kerja yang kurang optimal, seperti minimnya nilai organisasi, kerja sama tim, dan norma kerja. Pendekatan kuantitatif digunakan dengan analisis regresi linier sederhana. Data dikumpulkan dari 83 karyawan ASN melalui kuesioner dengan teknik sampling jenuh. Hasil menunjukkan budaya kerja berpengaruh signifikan terhadap kinerja karyawan. Penguatan kerja sama tim dan nilai organisasi direkomendasikan untuk meningkatkan efisiensi pelayanan publik.
Spatial Variation of HDI in East Java: A Tricube-Based Geographically Weighted Regression–Flower Pollination Algorithm Modeling Approach Gani, Friansyah; Pramoedyo, Henny; Efendi, Achmad
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 11, No 1 (2026): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v11i1.38007

Abstract

Understanding spatial disparities in human development is essential for designing equitable development policies. This study examines the spatial variation of the Human Development Index (HDI) in East Java Province using an integrated Geographically Weighted Regression–Flower Pollination Algorithm (GWR--FPA) optimized with a Tricube kernel. The integration of GWR and FPA enables simultaneous spatial weighting and metaheuristic-based bandwidth optimization. Three predictors were analyzed: population size ($X_1$), literacy rate ($X_2$), and mean years of schooling ($X_3$). Statistical diagnostics indicated significant spatial autocorrelation and heteroskedasticity in the OLS residuals, justifying the use of a spatial modeling framework. The GWR estimates revealed strong spatial non-stationarity: $X_1$ showed no significant local effect, whereas educational factors ($X_2$ and $X_3$) were significant in all 38 districts and cities. The FPA optimization enhanced bandwidth selection, resulting in improved model fit. Model comparison based on AIC and AICc showed that the GWR--FPA--Tricube model achieved the lowest values (AIC = 135.8821; AICc = 137.0045), outperforming both global OLS and standard GWR. These findings demonstrate that education-related variables are the primary drivers of HDI variation in East Java, while demographic size contributes minimally. The optimized model provides a more accurate spatial representation of local development disparities, supporting targeted policy interventions and illustrating the effectiveness of integrating metaheuristic optimization within spatial regression.
Bayesian Nonparametric Truncated Spline Regression for Modeling Nutritional and Physical Stunting Zahra, Septi Nafisa Ulluya; Fernandes, Adji Ahmad Rinaldo; Efendi, Achmad; Nasywa, Alfiyah Hanun; Junianto, Fachira Haneinanda
ZERO: Jurnal Sains, Matematika dan Terapan Vol 9, No 2 (2025): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v9i2.26759

Abstract

Stunting is a problem that is affected by the socioeconomic and environmental conditions of the public. The present study evaluates the impact of the financial state, environmental quality, and child feeding practices on the nutritional and physical stunting using a Bayesian nonparametric truncated spline regression model. To do this, a single knot spline structure was used a capture non-linear affects and thresholds, posterior estimation being conductied with Gibb's sampling. The results exhibit that all of the three predictors have a significance after the knot point on the right arrives, indiacting to saturation affects. As for the economic standing and the environmental quality, their effect is consistent, while feeding practices hold a more considerable impact on the nutritional stunting. From model diagnostics, the model had a good fit and predictive accuracy. The results highlight the importance of feeding practices and economic improvement and environmental sanitation, and display the benefits of the Bayesian spline technique for handling complex data.
Determinants Of Organizational Performance: A Systematic Review Of Management Studies Efendi, Achmad; Sanjaya, Agus; Masruroh, Siti
International Journal of Economics, Science, and Education Vol. 2 No. 6 (2025): International Journal of Economics, Science, and Education (IJESE)
Publisher : CV Pena Jaya Pers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65254/ijese.v2i6.56

Abstract

Purpose:Organizational performance has become a central issue in management research due to increasing environmental complexity and competitive pressures. This study aims to systematically review and synthesize the determinants of organizational performance identified in management studies, providing an integrated understanding of key influencing factors and research trends. Design/methodology/approach:This study employs a systematic literature review by analyzing peer-reviewed journal articles indexed in reputable databases. The review follows PRISMA guidelines with clearly defined inclusion and exclusion criteria to ensure methodological rigor. Findings:The results indicate that organizational performance is primarily influenced by human resource factors, leadership, strategic capabilities, innovation, and governance mechanisms. Dynamic capabilities and employee-related variables emerge as dominant determinants across studies. Research limitations/implications:This review is limited to selected databases and publication periods, which may restrict the generalizability of findings. Practical implications:Managers can use these findings to prioritize strategic and human resource initiatives to enhance organizational performance. Originality/value:This study provides an integrative synthesis of organizational performance determinants and proposes future research directions. Paper type: Literature review
Co-Authors ., Damingun Achmad Wicaksono Adi Firmanzah Agus Sanjaya Akbar, Sa'idah Akhmad Yanuar Fahmi Pamungkas Al Amin, Muhammad Aldy, Jeri Ali Syahbana Aliani, Ardia Anggriawan, Muhammad Verry Ani Budi Astuti Anitarini, Fani Anitarini, Fany Ardhi Khoirul Hakim Arditama Putra Rochmanullah Arini, Luthfia Hanun Yuli Atiek Iriany Atik Pramesti Wilujeng, Atik Pramesti Atika Putri, Tiara Aulia Rahman Balqis, Rani Diana Bestari Archita Safitri Dahlia Damayanti, Fransiska Erna Damingun Damingun, Damingun Danang Ariyanto Daniswara, Respati Satya Daulina, Fitriya Dellawaty Supraba Dewi Yuniar Dian Roshanti Eni Sumarminingsih Ermi Utami Ervia Toga Fachri Faisal Fernandes, Adji Achmad Rinaldo Fernandes, Adji Ahmad Rinaldo Firmanti, Tria Anisa Fitriani, Suci Fransiska Erna Damayanti Gani, Friansyah Hardiana, Ameilia Heni Kusdarwati Henny Pramoedyo Henny Pramoedyo Ivan Rachmawan Iwanegbe, Izuwa Jailani, Haliza Mutiasari Jubaidi Junianto, Fachira Haneinanda Kusumawati, Diana Lidia Hastuti Loekito Adi Soehono Ludfi Djakfar Lusia, Dwi Ayu Luthfatul Amaliana M. Risal, M. mahdaniah, mahdaniah Melandari, Defi Miftaviana Zahira Zavy Mochammad Hisyaam Darwin Muhammad Al Amin Nanda Rizqia Pradana Ratnasari, Nanda Rizqia Pradana Nasution, Angellica Christine Nasywa, Alfiyah Hanun Ni Wayan Surya Wardhani Novi Nur Aini Nurjannah Nurjannah Pipit Hariyono Prasetyawan, Riyan Dwi Putri, Henida Ratna Ayu Putri, Novita Surya Qosimah, Dahliatul reiszasro, jingga Renita Yuniar Reny Ramahdani Reny Ramahdani Rohmah, Devi Azarina Manzilir Rusty, Atnin Sintania Aprilla Salsabila, Santi Wahyu Satria Putra, Pramadhita Wika Semathea, Karen Setiawati, Ananda Sholihin Sholihin Siti Masruroh Soekardjo Solimun Solimun Solimun, Solimun Suci Astutik Sukma, Melya Supriyanto Supriyanto Ulandari, Efy Ullah, Mohammad Ohid Vera Anitra Wardhani, Ni Wayan S. Warsi, Nawang Weni Utomo, Candra R. W. S Weni Utomo, Candra Rezzing Wigbertus Ngabu Wiryanti, Ni Ketut Ledi Wuriani, Wuriani Yulianto, Shalsa Amalia Zahra, Septi Nafisa Ulluya Zahrany, Naura Nisrina