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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 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 Eksis: Jurnal Riset Ekonomi dan Bisnis Jurnal Statistika dan Aplikasinya Jurnal Pengabdian kepada Masyarakat Nusantara Lumbung Inovasi: Jurnal Pengabdian Kepada Masyarakat Bisnis Net : Jurnal Ekonomi dan Bisnis PROFESSIONAL HEALTH JOURNAL JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi) Nursing Information Journal Jurnal Ilmiah Manajemen, Bisnis dan Kewirausahaan 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 El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam Jurnal Pengabdian Masyarakat Journal of Agriprecision & Social Impact International Journal of Economics and Management Research
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 Environmental Science Health Professions Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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THE EFFECT OF MALE EXPECTED YEARS OF SCHOOLING ON THE NUMBER OF POOR PEOPLE IN INDONESIA Handayani, Sopiah; Efendi, Achmad; Anitra, Vera
Eksis: Jurnal Riset Ekonomi dan Bisnis Vol. 20 No. 2 (2026): October (2025) - March (2026)
Publisher : INSTITUT TEKNOLOGI DAN BISNIS PGRI DEWANTARA JOMBANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26533/eksis.v20i2.1552

Abstract

Poverty is a development issue closely related to the quality of human resources, particularly education. This study aims to analyze the effect of male Expected Years of Schooling (AHLS) on the number of poor people in Indonesia. This study uses a quantitative approach with secondary time series data for the period 2014-2024 sourced from the Badan Pusat Statistik (BPS). The population and sample of this study are all national data on male AHLS and the number of poor people during the observation period. The analytical method used is simple linear regression with data transformed into natural logarithms and processed using SPSS software, preceded by a classical assumption test. The results show that AHLS has a negative and significant effect on the number of poor people with a regression coefficient of -2.063 and a significance level of 0.006. The Adjusted R Square value of 0.546 indicates that 54.6 percent of the variation in the number of poor people can be explained by male AHLS. This finding suggests that increasing male education plays a significant role in poverty alleviation efforts through improving the quality of human resources in Indonesia.
Sensitivity of Bayesian Truncated Spline Regression to Prior and Knot Configuration in Stunting Models Septi Nafisa Ulluya Zahra; Adji Ahmad Rinaldo Fernandes; Achmad Efendi; Solimun Solimun; Alfiyah Hanun Nasywa; Fachira Haneinanda Junianto
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 10, No 2 (2025): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of 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.
Bayesian Approach in Estimating Parameters of Zero-Inflated Negative Binomial Regression Model Using Cauchy Prior: Simulation Study on Pneumonia Santi Wahyu Salsabila; Achmad Efendi; Nurjannah Nurjannah
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 10, No 2 (2025): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v10i2.33245

Abstract

The Bayesian approach is one of the parameter estimation methods that can be applied to Zero-Inflated Negative Binomial (ZINB) regression analysis. The ZINB regression model is used to analyze over-dispersion data with excess zeros. This study aims to evaluate the performance of ZINB regression parameter estimation using a Bayesian approach with Cauchy prior in pneumonia studies. The analysis is applied to secondary data as well as to simulated data with various scenarios based on different sample sizes and proportions of zero values such that the optimal model can be determined. The results show that ZINB regression models using the Bayesian approach provide stable parameter estimates as sample sizes and proportions of zeros increase. In cases of under-five deaths due to pneumonia, the data often contains many zeros because not all regions report cases. The ZINB model effectively addresses over-dispersion and excess zeros through a combination of negative binomial and zero-inflation models. This provides more accurate modeling results to support policymaking. The Bayesian approach also provides flexibility in integrating prior information and handling small samples, making the ZINB model well suited for health data with rare events and many zeros.
Demonstration Based Training: Pembuatan eco-enzym dalam Upaya Pemanfaatan Sampah Organik di SDN Brawijaya Banyuwangi Putri, Novita Surya; Laili, Roudlotun Nurul; Roshanti, Dian; Wilujeng, Atik Pramesti; Syahbana, Ali; Efendi, Achmad; Firmanti, Tria Anisa
Lumbung Inovasi: Jurnal Pengabdian kepada Masyarakat Vol. 11 No. 2 (2026): June
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/linov.v11i2.5447

Abstract

Masalah pengolahan sampah merupakan salah satu prioritas masalah di berbagai Negara dan Indonesia. Penanganan sampah oleh pemerintah Kabupaten Banyuwangi belum mencakup semua total sampah yang ada di Banyuwangi, masyarakat masih sedikit yang menyadari bahwa pengolahan sampah yang kurang baik akan berpengaruh terhadap lingkungan hidup dan kesehatan. Tujuan pengabdian masyarakat ini adalah untuk meningkatkan kesadaran masyarakat tentang pengolahan sampah sejak dini dimulai dari siswa sekolah dasar dengan melakukan pendidikan dan pelatihan pembuatan eco-enzyme dari sampah organik. Metode pengabdian masyarakat ini dilakukan dengan 4 tahap meliputi, tahap persiapan, tahap pelaksanaan, tahap monitoring dan tahap evaluasi. Pengabdian masyarakat ini dilaksanakan di SDN 4 Penganjuran Banyuwangi kelas VI sejumlah 55 siswa. Hasil pre-test dan post-test dengan pertanyaan kualitatif tentang pengetahuan siswa terkait eco-enzyme menunjukkan perubahan pemahaman sebelum dan sesudah mendapatkan informasi tentang eco-enzyme yaitu mampu menjelaskan pengertian, manfaat, sejarah dan pembuatan eco-enzyme. Pengabdian masyarakat selanjutnya diharapkan dapat ditambahkan pemantauan proses pemanenan eco-enzyme setelah 3 bulan. Demonstration-Based Training on Making Eco-Enzymes for Organic Waste Utilization at SDN 4 Penganjuran Banyuwangi Abstract Waste management is a priority issue in various countries, including Indonesia. Waste management by the Banyuwangi Regency government has not yet covered all the total waste in Banyuwangi, and few people are aware that poor waste management will impact the environment and health. The purpose of this community service is to increase public awareness about waste management from an early age, starting with elementary school students, by providing education and training on making eco-enzymes from organic waste. This community service method is carried out in 4 stages: preparation, implementation, monitoring, and evaluation. This community service was carried out at SDN 4 Penganjuran Banyuwangi, grade VI, with 55 students. The results of the pre-test and post-test, along with qualitative questions about students' knowledge of eco-enzymes, demonstrated a change in understanding before and after receiving information about eco-enzymes, specifically in their ability to explain the meaning, benefits, history, and manufacture of these enzymes. It is hoped that further community service can be added to monitoring the eco-enzyme harvesting process after 3 months.
Zero Inflated Negative Binomial (ZINB) Regression: Application to the Pneumonia Study and Simulation under Several Scenarios Santi Wahyu Salsabila; Achmad Efendi; Nurjannah Nurjannah
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 10, No 1 (2025): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v10i1.32499

Abstract

This study aims at evaluating the performance of Zero Inflated Negative Binomial (ZINB) regression analysis using the Maximum Likelihood Estimation (MLE) approach through simulation study. The research data used are secondary data and simulations. Secondary data was obtained from the Ministry of Health of the Republic of Indonesia in 2023 regarding cases of under-five deaths due to pneumonia with a total of 38 samples. The simulation study is conducted to analyze the performance of ZINB regression based on various sample sizes and proportions of zero values. The results show that the ZINB regression model with the MLE approach produces parameter estimates that tend to be more sensitive to sample size, with improved performance at large sample sizes. Data with a large proportion of zeros reflects high variability as well as the presence of excess zeros, so the ZINB regression model can provide more stable and precise parameter estimates than those with a lower proportion of zeros. Therefore, the ZINB regression model is effective for data with a high proportion of zeros as it fits the characteristics of the data distribution, especially in cases of under-five deaths due to pneumonia.
Simulation Study of Bayesian Zero Inflated Poisson Regression Candra Rezzing Weni Utomo; Achmad Efendi; Ni Wayan S. Wardhani
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 10, No 1 (2025): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v10i1.30207

Abstract

Bayesian merupakan salah satu metode estimasi parameter yang dapat diaplikasikan pada ukuran sampel yang kecil. Zero Inflated Poisson merupakan salah satu metode untuk menganalisis data Poisson yang mengalami overdispersion. Tujuan dari penelitian ini adalah untuk mengevaluasi kinerja analisis Zero Inflated Poisson Regression menggunakan Bayesian. Data yang digunakan adalah jumlah kasus campak di Jawa Timur. Campak merupakan penyakit menular yang berpotensi menjadi wabah di berbagai daerah, termasuk Jawa Timur. Terdapat empat variabel prediktor yang digunakan yaitu Jumlah Penduduk (X1), Persentase Vaksinasi (X2), Persentase Penduduk Miskin (X3), dan Persentase Sanitasi Layak (X4), serta satu variabel respon yaitu Jumlah Kasus Campak. Hasil penelitian ini menunjukkan bahwa estimasi model Zero Inflated Poisson (ZIP) menggunakan Bayesian lebih baik dibandingkan estimasi model Zero Inflated Poisson (ZIP) menggunakan MLE. Hal ini dikarenakan data yang digunakan dalam penelitian memiliki sampel yang kecil sehingga estimasi MLE cenderung kurang baik digunakan dalam estimasi parameter. Pemilihan model terbaik dilakukan dengan menggunakan metode Deviance Information Criteria (DIC). Model terbaik ditunjukkan dengan nilai DIC terkecil pada ukuran sampel 100 dan proporsi nol 0,8.
Bayesian Nonparametric Truncated Spline Regression for Modeling Nutritional and Physical Stunting Septi Nafisa Ulluya Zahra; Adji Ahmad Rinaldo Fernandes; Achmad Efendi; Alfiyah Hanun Nasywa; Fachira Haneinanda Junianto
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.
Modified Multigroup Ramsey RESET for Specification Detection in Semiparametric Path Models M. Dziqri nur Rohiim; Adji Achmad Rinaldo Fernandes; Achmad Efendi; Mujiono Mujiono; Kamelia Hidayat
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 11, No 2 (2026): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v11i2.43782

Abstract

This study develops a modified multigroup Ramsey RESET (Regression Equation Specification Error Test) within a semiparametric multigroup path model, a statistical framework that combines parametric and nonparametric approaches across multiple groups. Developed using dummy-variable interactions, the method identifies both linear and truncated spline relationships and enables analysis of all groups within a single integrated model, eliminating the need for separate group tests. Simulation studies using empirical data on students’ AI literacy applied combinations of linear and truncated-spline relationship patterns. The method was evaluated using the p-value, Correct-to-Incorrect p-value Ratio, Dominance Ratio, and Accuracy. The results indicate that the modified multigroup Ramsey RESET generally produces larger p-values for models that match the underlying data-generating mechanism than for competing alternative models, demonstrating good discriminatory power in identifying appropriate model specifications. The empirical application further reveals that several relationships among variables exhibit truncated spline patterns rather than purely linear forms. Thus, the proposed method provides an alternative specification test for simultaneously identifying linear and nonlinear relationships within multigroup semiparametric path models.
Co-Authors ., Damingun Achmad Wicaksono Adji Achmad Rinaldo Fernandes Adji Ahmad Rinaldo Fernandes Akbar, Sa'idah Al Amin, Muhammad Alfiyah Hanun Nasywa Ali Syahbana Aliani, Ardia Anggriawan, Muhammad Verry Ani Budi Astuti Anita Dwi Ariyani 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 Candra Rezzing Weni Utomo Dahlia Damayanti, Fransiska Erna Damingun Damingun, Damingun Danang Ariyanto Daniswara, Respati Satya Dellawaty Supraba Dewi Yuniar Eni Sumarminingsih Ermi Utami Fachira Haneinanda Junianto Fachri Faisal Farhan, Muhammad Hisyam Fauziah, Fenty Fernandes, Adji Achmad Rinaldo Firmanti, Tria Anisa Fitriani, Suci Handayani, Sopiah Hardiana, Ameilia Heni Kusdarwati Henny Pramoedyo Henny Pramoedyo Ivan Rachmawan Iwanegbe, Izuwa Jubaidi Kamelia Hidayat Kusumawati, Diana Laili, Roudlotun Nurul Lidia Hastuti Loekito Adi Soehono Ludfi Djakfar Lusia, Dwi Ayu Luthfatul Amaliana M. Dziqri nur Rohiim Miftaviana Zahira Zavy Mochammad Hisyaam Darwin Mujiono Mujiono Nanda Rizqia Pradana Ratnasari, Nanda Rizqia Pradana Nasution, Angellica Christine Ni Wayan S. Wardhani Ni Wayan Surya Wardhani Novi Nur Aini Nurjannah Nurjannah Nurjannah Nurjannah Perwitasari, Elisa Prasetyawan, Riyan Dwi Putri, Dea Anggraini Putri, Novita Surya Qosimah, Dahliatul reiszasro, jingga Renita Yuniar Reny Ramahdani Reny Ramahdani Rohmah, Devi Azarina Manzilir Roshanti, Dian Rusty, Atnin Sintania Aprilla Santi Wahyu Salsabila Santi Wahyu Salsabila Satria Putra, Pramadhita Wika Semathea, Karen Septi Nafisa Ulluya Zahra Septi Nafisa Ulluya Zahra Setiawati, Ananda Sholihin Sholihin Soekardjo Solimun Solimun Solimun, Solimun Suci Astutik Sukma, Melya Syahrianto Ulandari, Efy Ullah, Mohammad Ohid Vera Anitra Warsi, Nawang Weni Utomo, Candra R. W. S Wigbertus Ngabu Wiryanti, Ni Ketut Ledi Wuriani, Wuriani Yulianto, Shalsa Amalia Zahrany, Naura Nisrina