Article Per Year (5 Year)
p-Index From 2021 - 2026
5.415
P-Index
This Author published in this journals
All Journal Jurnal Kesehatan Lingkungan indonesia SAINSMAT Jurnal Mahasiswa Bimbingan Konseling CAUCHY: Jurnal Matematika Murni dan Aplikasi Jurnal Sains Matematika dan Statistika Pondasi Jurnal Mirai Management Jurnal Kesehatan Vokasional BAREKENG: Jurnal Ilmu Matematika dan Terapan JTAM (Jurnal Teori dan Aplikasi Matematika) Cakrawala: Jurnal Litbang Kebijakan PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Jurnal Aplikasi Statistika & Komputasi Statistik Variance : Journal of Statistics and Its Applications Jurnal Layanan Masyarakat (Journal of Public Service) Jurnal Pengabdian kepada Masyarakat Nusantara JAMBURA JOURNAL OF PROBABILITY AND STATISTICS International Journal of Community Service Jurnal Pengabdian Masyarakat (ABDIRA) JWM (JURNAL WAWASAN MANAJEMEN) SAINSMAT: Jurnal Ilmiah Ilmu Pengetahuan Alam Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) LJLEL (Linggau Jurnal Language Education and Literature) Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Innovative: Journal Of Social Science Research Jurnal Pendidikan Matematika Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK) Journal Pharmacy of Tanjungpura
Ardi Kurniawan
STMIK Amikom Yogyakarta
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

Published : 41 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 41 Documents
Search

 1   2   3   4   5 
Optimalisasi Sistem Pertanian Modern Poktan Sosial 3 melalui Sistem Penyiraman Otomatis Berbasis Energi Surya Putri, Arisa Olivia; Kurniawan, Ardi; Saputra, Kalvin; Santoso, Rifaldi Wahyu; Ubaidillah, Aziz; Dianova, Brainvendra Widi
Jurnal Pengabdian Masyarakat (ABDIRA) Vol 6, No 1 (2026): Abdira, Januari
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/abdira.v6i1.1175

Abstract

This community service activity aims to design and implement an automatic irrigation system based on soil moisture sensors supported by renewable energy from solar panels at the Social Farming Group 3 Baktijaya in Sukmajaya District, Depok City. The implementation methods include problem identification, system design, socialization, training, implementation, and evaluation based on quantitative surveys involving 17 group members. Evaluation results indicate that 70.6% of respondents consider the automatic irrigation system to be very helpful in land management and efficient water use, while 52.9% state that the system provides tangible economic benefits to the surrounding community. The successful implementation of this technology addressed labor limitations and improved farming productivity in an independent and sustainable manner. These findings emphasize the importance of developing modern agricultural systems based on smart technology and renewable energy as adaptive solutions to climate dynamics and changing urban agricultural needs.
MODELING AND SEGMENTATION OF FACTORS AFFECTING HUMAN DEVELOPMENT IN ISLANDS OF JAVA USING FIMIX PLS METHOD WITH MEDIATION EFFECT Az Zuhro, Muhammad Rosyid Ridho; Kurniawan, Ardi; Amelia, Dita; Syahzaqi, Idrus
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 20 No 1 (2026): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol20iss1pp0397-0412

Abstract

Human development is a key indicator used to assess the quality of a country's human resources. Although Indonesia's HDI has experienced a significant increase of 75.02 in 2024, inequality is still a pressing issue, especially in terms of gender representation in the workforce. This study aims to identify the influence of poverty, economic, health, employment and education factors on human development in Java Island by considering gender equality as a mediating variable. The data used in the study is limited to 119 districts/cities in Java Island and sourced from BPS publications, the Health Office and the Education Office. The novelty of this study lies in the use of the Finite Mixture Partial Least Square (FIMIX-PLS) approach with mediation effects which is rarely applied in human development research in Indonesia, as well as allowing the identification of latent population heterogeneity and region-based segmentation. The results of this method reveal two distinct district/city segments in Java, with Segment 1 dominated by the variables in this study that have significant direct and indirect effects through the mediation of gender equality on human development, while Segment 2 has characteristics that emphasize the effect of gender equality. Given these differences in characteristics, it is important that contextual and regional segmentation-based development policies are designed by local and central governments. Statistical segmentation approaches such as FIMIX-PLS make a significant contribution to more targeted policy making. By changing the type of intervention according to specific problems, the government can allocate resources more effectively. This supports the achievement of SDG-10 in reducing inequality.
BAYESIAN ESTIMATION OF THE SCALE PARAMETER OF THE WEIBULL DISTRIBUTION USING THE LINEX AND ITS APPLICATION TO STROKE PATIENT DATA Rahmanita, Tentri Ryan; Kurniawan, Ardi; Ana, Elly; Sediono, Sediono; Amelia, Dita
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 20 No 1 (2026): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol20iss1pp0413-0426

Abstract

Survival analysis is used to study the timing of an event, such as recovery or death, in the context of medical data. One of the diseases that many people suffer from is stroke. Based on the survey results, the number of stroke sufferers in Indonesia reached 8.3% of 1000 people in Indonesia continues to increase every year, especially among the elderly. The research conducted aims to model the estimation of the type III censored Weibull distribution parameters with the Bayesian Linear Exponential Loss Function (LINEX) method. This study uses secondary data on stroke patients in the period January-November 2024 with a sample of 62 patients at the Haji Surabaya Regional General Hospital. Weibull distribution model with Bayesian approach using Linear Exponential Loss Function (LINEX) was applied to estimate the distribution parameters and survival function. The estimation results show that the parameter α is 6.32342 with an average hospitalization time of 5.9151646 days. MSE value is 0.000270555, which indicates that the estimation model is more accurate in predicting data for the length of hospitalization for stroke patients at the Haji Surabaya Regional General Hospital. The probability value of the survival function of stroke patients who have been hospitalized on the 5th day shows a probability of 82.4% so that no further hospitalization is needed, which indicates that the patient's health condition is improving. In addition, the hazard function analysis shows that the longer a patient is hospitalized, the greater the risk of the patient not recovering.
Peningkatan Kompetensi Guru dalam Analisis Data Hasil Pembelajaran dengan Metode Statistika Menggunakan Microsoft Excel di SD Muhammadiyah 1 Trenggalek: Improving Teachers’ Competence in Analyzing Learning Outcomes Data Using Statistical Methods with Microsoft Excel at SD Muhammadiyah 1 Trenggalek Rifada, Marisa; Saifudin, Toha; Kurniawan, Ardi; Ramadhani, Azzah Nazhifa Wina; Maharani, Prima; Sentosa, Martha Ayu
PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Vol. 11 No. 1 (2026): PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/pengabdianmu.v11i1.10675

Abstract

Muhammadiyah 1 Trenggalek Elementary School is one of the leading private elementary schools in Trenggalek Regency that implements an innovative system in its learning and has a strong commitment to improving the quality of education. However, most of the teachers in this elementary school still lack understanding of the concept of statistics along with the application of technology to analyze student learning data, so that the evaluation of student learning outcomes becomes less than optimal. Therefore, this community service program is carried out to provide intensive training on basic understanding of statistics, the use of Microsoft Excel to process data, and the application of analysis results to improve teaching methods. This program was carried out through several stages, consisting of providing offline training and assistance to groups of teachers in applying the training results to student learning data. The evaluation results show an increase in teacher understanding of the training material provided, with evidence of an increase in the average pre-test score of 64.46 to 71.08 in the post-test. Thus, this community service activity can be said to have succeeded in increasing teacher competence in using Microsoft Excel as a means of analyzing student learning data, which is also a start to improving the quality of Muhammadiyah 1 Trenggalek Elementary School teachers.
Penanganan Ketidakseimbangan Data pada Pemodelan Risiko Diabetes Tipe 2 Menggunakan SMOTE-MARS Fizkadana, Canada Mewa; Chamidah, Nur; Kurniawan, Ardi; Siregar, Naufal Ramadhan Al Akhwal
Semnas Ristek (Seminar Nasional Riset dan Inovasi Teknologi) Vol 10, No 1 (2026): SEMNAS RISTEK 2026
Publisher : Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/semnasristek.v10i1.8891

Abstract

Diabetes Melitus Tipe 2 (DMT2) merupakan tantangan kesehatan kritis di Indonesia, namun pemodelan faktor risikonya sering terhambat oleh ketidakseimbangan kelas di mana individu sehat melebihi jumlah kasus positif. Penelitian ini memodelkan risiko DMT2 menggunakan pendekatan hybrid yang menggabungkan Synthetic Minority Over-sampling Technique (SMOTE) dan Multivariate Adaptive Regression Splines (MARS). Penelitian ini menggunakan data medis dengan ketidakseimbangan awal 62% sehat dan 38% kasus DMT2. SMOTE diterapkan untuk menyeimbangkan distribusi training, diikuti dengan pemodelan MARS untuk menangkap interaksi non-linear. Hasil penelitian menunjukkan bahwa model SMOTE-MARS secara signifikan mengungguli MARS standar, mencapai Akurasi 0,70 dan AUC 0,73, dibandingkan dengan AUC model standar yang hanya 0,458. Model optimal mengidentifikasi Berat Badan, Tinggi Badan, dan Konsumsi Gula sebagai prediktor utama. Secara spesifik, berat badan di bawah 48 kg teridentifikasi sebagai faktor protektif yang kuat (OR 0,22), sedangkan tinggi badan kurang dari 165 cm (OR 1,22) dan interaksi berat badan berlebih (>62 kg) dengan konsumsi gula (OR 1,12) merupakan faktor risiko signifikan. Tingginya nilai sensitivitas mengindikasikan bahwa model SMOTE-MARS sangat potensial digunakan sebagai instrumen deteksi dini untuk mengidentifikasi pasien yang berisiko tinggi terkena diabetes.
Comparing MARS and Binary Logistic Regression to Modelling Hepatitis C Cases using the SMOTE Balancing Method Chamidah, Nur; Ramadhanti, Aulia; Ramadhani, Azzah Nazhifa Wina; Syahputra, Bimo Okta; Ariyawan, Jovansha; Kurniawan, Ardi
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 10, No 1 (2026): January
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v10i1.33196

Abstract

Hepatitis is an inflammatory liver disease caused by viral infection and remains a major global public health concern, responsible for approximately 1.4 million deaths annually. Egypt is among the countries with the highest prevalence of Hepatitis C. To address this issue and support Goal 3 of the Sustainable Development Goals (SDGs), this study applies a quantitative approach using secondary data to analyze factors influencing Hepatitis C infection in Egypt. Two statistical models Binary Logistic Regression and Multivariate Adaptive Regression Splines (MARS) were compared, with the SMOTE method implemented to correct class imbalance. The dataset consisted of 608 patient observations, initially imbalanced at a ratio of 86.5:13.5, and were balanced to 52.6:47.4 after SMOTE application. The results revealed that the MARS model demonstrated superior predictive performance compared to binary logistic regression. All independent variables were found statistically significant (p < 0.05), except sex. Additionally, all odds ratios were less than 1, indicating a lower probability of Hepatitis C infection relative to non-infection. These findings highlight the relevance of statistical modeling and data-driven strategies in supporting preventive health measures. 
Estimasi Survival dan Fungsi Hazard Pasien Sirosis Hati Menggunakan Pendekatan Distribusi Eksponensial pada Penyesoran Tipe II Salsabila, Safira; Salsabila, Ailsa Shafa; Febiyola, Tiara Febri; Ibrahim, Rahmat Agung; Kurniawan, Ardi
Jurnal Sains Matematika dan Statistika Vol 12, No 1 (2026): JSMS Januari 2026
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jsms.v12i1.37391

Abstract

Sirosis hati masih menjadi pertahanan klinis yang mempengaruhi kualitas hidup pasien dan memerlukan pemahaman prognosis yang komprehensif. Upaya menghemat waktu hidup pasien dapat mendukung tenaga medis dalam merancang intervensi serta mengoptimalkan alokasi sumber daya. Penelitian ini menggunakan model distribusi eksponensial dengan pendekatan penyensoran tipe II untuk mengestimasi kelangsungan hidup pasien sirosis hati berdasarkan data publik Mayo Clinic yang mencakup 33 rekaman waktu hidup dan status kematian. Metode parametrik diterapkan untuk menentukan nilai parameter eksponensial serta memproyeksikan fungsi survival dan hazard. Hasil uji Kolmogorov–Smirnov menunjukkan kesesuaian data dengan asumsi model eksponensial. Berdasarkan estimasi, rata-rata waktu hidup pasien (Estimasi Mean Time To Failure) mencapai sekitar 3351,565 hari dengan tingkat hazard konstan sebesar 0,000298, dan interval kepercayaan 95% menempatkan waktu hidup antara 2314,304 hingga 5287,106 hari. Temuan ini diharapkan dapat memperkaya literatur statistik kesehatan dan menjadi acuan bagi penelitian analisis kelangsungan hidup di masa mendatang.
Pembelajaran Matematika Berbasis Games untuk Meningkatkan Antusiasme Belajar Siswa SD Negeri Wadungasri Sidoarjo Ramadhani, Azzah Nazhifa Wina; Kurniawan, Ardi
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 6 No. 4 (2025): Edisi Oktober - Desember
Publisher : Lembaga Dongan Dosen

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

Abstract

Kegiatan Asistensi Mengajar merupakan bagian dari program Merdeka Belajar Kampus Merdeka (MBKM) yang bertujuan memberikan pengalaman langsung kepada mahasiswa dalam dunia pendidikan. Program ini dilaksanakan di SDN Wadungasri, Kabupaten Sidoarjo, dengan metode pembelajaran secara luring. Mahasiswa berperan aktif dalam mendampingi guru, khususnya dalam proses pembelajaran Matematika untuk siswa kelas III dan IV. Selain itu, mahasiswa juga terlibat dalam berbagai kegiatan sekolah, baik akademik maupun keagamaan. Berdasarkan hasil analisis statistika deskriptif, diperoleh rata-rata nilai asesmen sumatif siswa yang lebih tinggi dibandingkan nilai tugas dan evaluasi hariannya. Hal ini menunjukkan bahwa keterlibatan mahasiswa dalam proses pembelajaran berdampak positif terhadap pencapaian akademik siswa, terutama dalam menghadapi ujian akhir. Hasil analisis variansi juga menunjukkan tidak terdapat perbedaan yang signifikan antara rata-rata nilai Matematika siswa kelas III dan IV, dengan nilai tertinggi masing-masing diperoleh oleh kelas III-B (77,08) dan IV-B (77,28). Kegiatan ini diharapkan dapat menjadi salah satu bentuk kontribusi nyata mahasiswa dalam meningkatkan mutu pendidikan dasar di Indonesia melalui kolaborasi dengan sekolah.
Performance Evaluation of Machine Learning Algorithms for AIDS-Infected Patient Classification Kurniawan, Ardi; Marthabakti, Citrawani; Putri, Larisa Mutiara; Suyono, Billy Christandy; Alisiah, Rindiani Ahmada
Jurnal Kesehatan Vokasional Vol 10, No 3 (2025): August
Publisher : Sekolah Vokasi Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jkesvo.107716

Abstract

Background: According to UNAIDS (2023), approximately 39.9 million people are living with HIV worldwide, with 1.3 million new cases and 630,000 AIDS-related deaths in 2023. This indicates that HIV/AIDS remains a serious global health threat. Machine learning methods have the potential to improve the accuracy of AIDS infection classification.Objective: This research is aimed to determine the best classification method based on prediction accuracy and to identify the method with the best performance for further analysis.Methods: This research used a quantitative approach by evaluating the performance of machine learning algorithms: Decision Tree, Random Forest, XGBoost, Naive Bayes, and Logistic Regression. Secondary data were obtained from the UCI Machine Learning Repository, comprising 2,000 observations of AIDS patients and 23 variables. Model evaluation used a confusion matrix to calculate accuracy, precision, recall, and F1-score. The best model, logistic regression, was further analyzed with parameter significance tests, odds ratios, and goodness of fit.Results: Logistic regression yielded an accuracy of 88.4%, precision and recall of 90%, and the highest F1-score. Variables significant to AIDS were: time, preanti, symptom, offtrt, and cd420. The model passed the Hosmer and Lemeshow test (p-value = 0.365) with a Nagelkerke R-Square of 0.642.Conclusion: Machine learning approaches, particularly logistic regression, support early detection of AIDS and data-driven medical decision-making.
Step-Stress Accelerated Life Testing with Type II Censoring and Exponential Distribution for Solar-Powered Lighting Systems Kurniawan, Ardi; Ananda, Vanisia Suci; Kalista, Yovita Karin
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.v11i1.41076

Abstract

This study addresses the reliability assessment of solar-powered lighting systems using a partial step-stress accelerated life testing (ALT) model with Type-II censoring. The research aims to estimate the mean failure time and quantify the acceleration effect due to elevated stress. Secondary data from an experiment involving 31 lighting devices were analyzed. Initially, devices were tested at a normal temperature (293 K) until 16 failures occurred. Subsequently, the stress was increased to 353 K, and testing continued until all units failed or were censored. Under the assumption of an exponential lifetime distribution and a linear accelerated failure-time model, the maximum likelihood estimation (MLE) method was applied for parameter inference. The results show that the estimated mean failure time under normal conditions is approximately 711.6 hours, which reduces to about 38.7 hours under accelerated stress, yielding an acceleration factor of 18.354. Furthermore, a 95% confidence interval for the mean failure time under normal conditions is between 460.2 and 1245 hours. The reliability and percentile life at various stress levels were also derived. This research provides a practical statistical framework for evaluating the reliability of solar-powered lighting devices, offering a more efficient alternative to conventional life testing methods.
Co-Authors Abdillah, Adrian Wahyu Abdul Rochim Adriadi, Rekho Aflaha, Nabila Shafa Alda Fuadiyah Suryono Alfinda Novi Kristanti Alghifary, M Husain Haekal Alisiah, Rindiani Ahmada Aminy, Aisyah Ananda, Vanisia Suci Anggakusuma, Aurellia Calista Anto Andreawan Arisa Olivia Putri Ariyawan, Jovansha Ayanti Kristantini, Rr Az Zuhro, Muhammad Rosyid Ridho Azizah, Khansa Baskoro , Harjo Boy Firmansyah Brainvendra Widi Dionova Budijono, Gabriella Agnes DENOK SETIAWATI Dewanti, Maria Setya Dita Amelia Dita Amelia, Dita Easyfa Wieldyanisa, Ezha Elly Ana Faizun, Nurin Fajrina, Sofia Fatmawati Fatmawati Fauziah, Nathania Febiyola, Tiara Febri FIRMANSYAH, MOCHAMMAD Fizkadana, Canada Mewa Gunawan, Syifa’ Azizah Putri Herdianto, Muhammad Hendra Hermawan, Mohamad David Ibrahim, Rahmat Agung Idrus Syahzaqi Insania Dewanty, Sanda Jihadi , Hilman Kalista, Yovita Karin Kurniawan Harminsyah Baharuddin Kusuma Wardhana, Feri M. Fariz Fadillah Mardianto M.Riduan Abdillah Mahadesyawardani, Arinda Maharani, Prima Marisa Rifada Marthabakti, CitraWani Meliana, Relin Mufida, Amanda Rosidatul Muhammad Setiyawan Najini, Robby Naura, Sheila Sevira Asteriska Nera Umilia Purwanti, Nera Umilia Niam, Mohamad Faiqun Nilasari, Inas Nur Azizah Nur Chamidah Nuraini Purwandari Nuraini, Risa Nurrohmah, Zidni Ilmatun Oktavia, Sabrina Salsa Pratiwi, Firda Aulia Previan, Anggara Teguh Putri, Larisa Mutiara Rahmanita, Tentri Ryan Ramadhani, Azzah Nazhifa Wina Ramadhanti, Aulia Reswara, Aqil Azmi Rimuljo Hendradi Riza Firdaus, Muhammad Sa'idah, Andini Sadikin, Adnan Syawal Adilaha Salsabila, Ailsa Shafa salsabila, safira Santoso, Rifaldi Wahyu Saputra, Kalvin Sari, Ni Wayan Widya Septia Sediono, Sediono Sentosa, Martha Ayu Siagian, Kimberly Maserati Siregar, Naufal Ramadhan Al Akhwal Smith, Khalid Al Hadring Sri Indarti Suyono, Billy Christandy Syahputra, Bimo Okta Syalsabila, Regitha Rianda Syarif, Devi Mufidah Titi Darmi Toha Saifudin Ubaidillah, Aziz Ulandari, Kartini Putri Valida, Hanny Vanisa, Davina Shafa Wahyu Subekti, Cahya Arsyika Widyangga, Pressylia Aluisina Putri Widyawati, Ayu Widyawati, Ayu Zulva Wulan Safitri, Wulan Wulandari, Nuryuliana Yasir Hadiani Yuswanita, Lativa