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All Journal Jurnal Kesehatan Lingkungan indonesia SAINSMAT Jurnal Mahasiswa Bimbingan Konseling CAUCHY: Jurnal Matematika Murni dan Aplikasi Pondasi Jurnal Mirai Management BAREKENG: Jurnal Ilmu Matematika dan Terapan JTAM (Jurnal Teori dan Aplikasi Matematika) Cakrawala: Jurnal Litbang Kebijakan Jurnal Aplikasi Statistika & Komputasi Statistik Variance : Journal of Statistics and Its Applications Jurnal Layanan Masyarakat (Journal of Public Service) 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 Journal Pharmacy of Tanjungpura Limits: Journal of Mathematics and Its Applications
Ardi Kurniawan
STMIK Amikom Yogyakarta
Religion Aerospace Engineering 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 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

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Modeling Risk Factors of Acute Respiratory Infections using Logistic Regression and Multivariate Adaptive Regression Splines Kurniawan, Ardi; Fauziah, Nathania; Mahadesyawardani, Arinda; Gunawan, Syifa’ Azizah Putri; Anggakusuma, Aurellia Calista
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.v10i2.33833

Abstract

Acute Respiratory Infections (ARI) remain a leading cause of morbidity among toddlers, partic ularly in regions with limited healthcare access. This study aimed to model the risk factors of ARI in toddlers using Binary Logistic Regression and Multivariate Adaptive Regression Splines (MARS). Using secondary data from Southeast Aceh, seven predictor variables were analyzed, including ma ternal characteristics, breastfeeding status, and household conditions. Both models were statisti cally significant in identifying key predictors. Logistic regression showed superior performance with 86.96% accuracy, 85.00% precision, 91.89% recall, 81.25% specificity, and 88.30% F1-score. In contrast, MARS achieved a higher recall (97.30%) but lower specificity (62.50%), indicating higher sensitivity but a greater likelihood of false positives. Exclusive breastfeeding, home ventilation, and housing density were significant predictors in both models. Overall, logistic regression was found to be the more reliable and interpretable method, offering better balance in classification metrics. These f indings support the use of logistic regression for identifying ARI risk factors in similar contexts and contribute to improved data-driven public health strategies aimed at reducing ARI incidence among vulnerable populations.
SURVIVAL FUNCTION AND HAZARD FUNCTION ANALYSIS OF EXPONENTIAL DISTRIBUTION IN TYPE I CENSORED SURVIVAL DATA: A CASE STUDY OF BREAST CANCER PATIENTS Kurniawan, Ardi; Previan, Anggara Teguh; Nurrohmah, Zidni Ilmatun
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 3 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss3pp1795-1802

Abstract

Breast cancer is the most common cancer in women and the leading cause of cancer-related death in Indonesia. Analysis of survival data is important for improving the treatment and care of breast cancer patients. This study aims to estimate the parameters, find the survival function, and hazard function of breast cancer patients using a parametric method with an exponential distribution. Previous studies have shown that the Maximum Likelihood Estimation (MLE) method is suitable for estimating the survival function from exponential survival data by censoring. In this study, the exponential distribution was found to be the best for data on breast cancer patients from Surabaya Ontology Hospital. The estimated parameters are θ = 33.9157, and the survival function is calculated using The estimated hazard function for patient death or failure is 0.0295. The results of this study can contribute to the development of better treatment and care strategies for breast cancer patients. However, further research is needed because this study only used monthly time units.
MODELING CHRONIC FILARIASIS CASES IN WEST JAVA USING A MULTIVARIATE ADAPTIVE APPROACH REGRESSION SPLINES Kurniawan, Ardi; Firmansyah, Mochammad; Saifudin, Toha
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 2 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss2pp1249-1260

Abstract

One of the most crippling infectious diseases in the world is filariasis. Indonesia is a unitary country with 34 provinces, where West Java is one of the 5 provinces with the most filariasis sufferers in Indonesia as of 2021. Reinfection occurs in places that have implemented POMP. Therefore, monitoring operations must be carried out to track the emergence of new cases and risk factors for transmission. The aim of this research focuses on describing and modeling the number of chronic filariasis in West Java, as well as interpreting the best model results obtained. The method used is a method with a nonparametric regression approach, namely Multivariate Adaptive Regression Spline. The results of the research show that the best model obtained is a combination of 15 base functions, maximum interaction 2, and minimum observation between knots 1. From this model, the predictor variable that has the most influence on the response variable in order based on the level of variable importance is the Percentage of Population Access to Facilities Decent Sanitation, Percentage of Households with Clean and Healthy Behavior (PHBS), Sex Ratio, and Percentage of Poor Population. The interpretation of the best model is that the variable Percentage of Population Access to Adequate Sanitation Facilities above 6,650% will contribute to a reduction in the number of chronic filariasis; the Sex Ratio variable below 103,300 will contribute in the form of a reduction in the number of chronic filariasis. it can be seen that the predictor variable that has the most influence on the response variable is the variable Percentage of Population Access to Proper Sanitation Facilities with an importance level of 100%.
PROVINCIAL SEGMENTATION IN INDONESIA: EXPLORING FACTORS INFLUENCING EDUCATION WITH SEM-PLS METHOD, INCORPORATING MODERATION EFFECTS AND FIMIX-PLS APPROACH Vanisa, Davina Shafa; Rahmanita, Tentri Ryan; Ana, Elly; Kurniawan, Ardi
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 3 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss3pp1955-1962

Abstract

The significance of education as a developmental metric is underscored by its designation as the 4th goal in the SDGs, which emphasizes ensuring inclusive, equitable, and high-quality education while also expanding lifelong learning opportunities for all. This research relies on two primary sources: secondary data from publications by the Indonesian Central Statistics Agency (BPS RI) in 2023 and the BPS website. The educational variables examined in this study are believed to be influenced by latent variables, including school performance, infrastructure, and poverty levels. Employing the Finite Mixture Partial Least Squares (FIMIX-PLS) approach, the research identified 13 valid and reliable indicators of educational variables. It delineated three regional groups based on the lowest BIC and CAIC values. In this structural equation research, the moderation effect is seen in the significance of the indirect relationship, especially the influence of Regional Poverty on Education with School Outcomes as a moderating construct.
COMPARISION OF RICE PRICE PREDICTION RESULTS IN EAST JAVA USING FOURIER SERIES ESTIMATOR AND GAUSSIAN KERNEL ESTIMATOR SIMULTANEOUSLY Sadikin, Adnan Syawal Adilaha; Reswara, Aqil Azmi; Mardianto, M. Fariz Fadillah; Kurniawan, Ardi
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 3 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss3pp1963-1974

Abstract

Extreme weather changes and the El Nino phenomenon in 2023 will cause drought, resulting in a decrease in rice production and an increase in rice prices. It has significantly impacted East Java Province as it is the most extensive rice supplier in Indonesia. This study aims to predict the price of rice with six different qualities using the Fourier series estimator and Gaussian kernel function simultaneously. The results show that the Gaussian kernel method, with a bandwidth value of 1, produces a better model with a MAPE value of 0.228259% than the sine function Fourier series method in predicting rice prices based on six different qualities. The prediction results using the Gaussian kernel function method are categorized as highly accurate because they are less than 10%. This research accelerates the realization of SDG 2 related to "Zero Hunger" through government policies to control the high price of rice in Indonesia. Recommendations that can be given through the research results include cooperation with the government, which can help access information and resources needed to manage price risks.
MODELING EMPLOYEE RESIGNATION USING A SEMIPARAMETRIC APPROACH COX PROPORTIONAL HAZARD Sari, Ni Wayan Widya Septia; Kurniawan, Ardi; Ana, Elly
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 4 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss4pp2471-2478

Abstract

Survival analysis is a research method that studies the duration individuals or experimental units endure against events like death, disease, recovery, or other experiences. This study employs a semi-parametric survival analysis model using the Cox proportional hazards regression method to identify factors such as age, gender, marital status, and education influencing how long employees stay with a company before resigning. The aim is to describe and interpret significant factors affecting employee resignation using the Cox Regression method. The results indicate that age significantly influences employee tenure. The average tenure is eight years. The probability of an employee still working at age 32 for up to eight years is 0.0057, while the likelihood for an employee who has worked more than eight years at age 32 is 0.9943. The study uses secondary data on the tenure of 521 employees, analyzed with the Cox proportional hazards regression method. The data, however, has limitations due to type III censoring, where some subjects leave observation, resulting in incomplete data. The study concludes that age significantly impacts employee tenure. Younger employees tend to explore career opportunities, while older employees seek stability, pension benefits, and a comfortable work environment.
Modifikasi Permainan Monopoli untuk Meningkatkan Pengetahuan Umum Siswa Kelas VI SD Kurniawan, Ardi; Kusuma Wardhana, Feri; Setiyawan, Muhammad
Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Prosiding Seminar Nasional Teknologi Informasi dan Bisnis (SENATIB) 2025
Publisher : Fakultas Ilmu Komputer Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/0dfmg263

Abstract

Penelitian ini bertujuan untuk mengembangkan dan menguji media pembelajaran berbasis permainan dengan memodifikasi permainan Monopoli sebagai sarana meningkatkan pengetahuan umum siswa kelas VI SD. Metode yang digunakan meliputi studi literatur, penentuan materi, pengembangan prototipe permainan, serta uji coba lapangan terhadap siswa dan teman sejawat. Permainan dirancang dengan mengintegrasikan materi pengetahuan umum ke dalam elemen permainan seperti kartu soal, tantangan, dan sistem poin. Hasil uji coba menunjukkan bahwa permainan mudah dipahami, menarik, dan menyenangkan untuk dimainkan. Rata-rata skor angket sebesar 93% menempatkan permainan dalam kategori sangat baik. Respons positif dari siswa menunjukkan bahwa permainan ini berhasil menciptakan pengalaman belajar yang interaktif dan memotivasi. Berdasarkan teori konstruktivisme dan social constructivism, permainan ini mendorong keterlibatan aktif siswa melalui diskusi dan kerja sama, serta memfasilitasi pemahaman yang lebih bermakna. Selain itu, berdasarkan pendekatan Cultural-Historical Activity Theory (CHAT), permainan ini berfungsi sebagai alat mediasi budaya yang efektif dalam pembelajaran kontekstual. Dengan demikian, modifikasi permainan Monopoli terbukti layak digunakan sebagai alternatif media pembelajaran pengetahuan umum yang mampu meningkatkan minat dan pemahaman siswa di tingkat sekolah dasar.
TRAINING ON USE OF USER-FRIENDLY R-SHINY PROGRAM FOR DETERMINING NUTRITIONAL STATUS OF TODDLERS AT POSYANDU IN THE WORKING AREA OF THE SOBO BANYUWANGI COMMUNITY HEALTH CENTER Chamidah, Nur; Kurniawan, Ardi; Saifudin, Toha; Easyfa Wieldyanisa, Ezha; Insania Dewanty, Sanda; Azizah, Khansa
Jurnal Layanan Masyarakat (Journal of Public Services) Vol. 9 No. 3 (2025): JURNAL LAYANAN MASYARAKAT
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/.v9i3.2025.406-418

Abstract

Stunting is a form of malnutrition that serves as an important indicator for monitoring the growth and development of toddlers. However, assessing the nutritional status of toddlers does not stop at stunting, but includes a comprehensive understanding of the child's nutritional condition in real time, especially by mothers who have toddlers. Although the prevalence of stunting in Indonesia has decreased, achieving the target reduction to 14% by 2024 still requires significant efforts. This community service activity aims to improve the nutritional literacy and technical skills of posyandu cadres and mothers of infants in utilizing a user-friendly R-Shiny-based application, both in web and Android versions. This application allows users to input anthropometric data of infants (weight-for-age, height-for-age, and BMI-for-age), and then automatically generates growth charts based on reference standards. The activity was conducted in a hybrid format on June 29, 2024, with a total of 69 participants (35 offline cadres and 34 online cadres). Evaluation results showed a significant increase in cadres' knowledge, with an average post-test score (76.81) higher than the pre-test score (71.66) and a p-value from the paired t-test of 0.008. Additionally, participants gave high satisfaction scores, with an average above 75 on all indicators. The program also provides intensive mentoring and long-term monitoring to ensure smooth application use. With a data-driven approach sensitive to regional characteristics, this program is expected to serve as an innovative, sustainable, and replicable community service model in other areas to accelerate stunting reduction efforts.
Meta-Analisis Faktor Pendorong dan Penghambat Adopsi Teknologi UMKM di Tanah Laut Smith, Khalid Al Hadring; Kurniawan, Ardi; Yuswanita, Lativa; Baharuddin, Kurniawan Harminsyah
Jurnal Mirai Management Vol 10, No 2 (2025)
Publisher : STIE AMKOP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/mirai.v10i2.10073

Abstract

Transformasi digital menjadi kunci peningkatan daya saing usaha mikro, kecil, dan menengah (UMKM) di era Revolusi Industri 4.0. Penelitian ini bertujuan mengidentifikasi faktor pendorong dan penghambat adopsi teknologi pada UMKM di Indonesia dengan fokus kontekstual pada Kabupaten Tanah Laut, Kalimantan Selatan. Metode yang digunakan adalah systematic literature review (SLR) dan meta-analysis terhadap 35 artikel ilmiah, laporan BPS, serta dokumen kebijakan terkait digitalisasi UMKM pada periode 2014–2025. Analisis dilakukan melalui content analysis dan thematic coding berdasarkan kerangka teori Technology Acceptance Model (TAM), Diffusion of Innovations (DOI), dan Unified Theory of Acceptance and Use of Technology (UTAUT). Hasil penelitian menunjukkan bahwa faktor pendorong adopsi teknologi meliputi persepsi kemudahan dan kegunaan teknologi, dukungan kebijakan pemerintah, ketersediaan infrastruktur digital, serta pengaruh sosial dan jejaring bisnis. Faktor penghambat mencakup rendahnya literasi digital, keterbatasan biaya, infrastruktur internet yang belum merata, dan resistensi terhadap perubahan. Analisis kontekstual Tanah Laut memperlihatkan peran pemerintah lokal yang dominan melalui program pelatihan dan fasilitasi modal, namun hambatan infrastruktur dan literasi digital masih menjadi tantangan utama. Penelitian ini merekomendasikan peningkatan literasi digital berbasis komunitas, pengembangan infrastruktur internet di desa produktif, insentif fiskal untuk early adopter, serta penguatan kolaborasi triple helix guna membangun ekosistem inovasi. Temuan ini diharapkan menjadi referensi akademis dan masukan kebijakan dalam mempercepat transformasi digital UMKM di daerah semi-periferal. Kata kunci: UMKM, Adopsi Teknologi, Digitalisasi, Meta-Analisis, Literasi Digital.
MODELING FACTORS CAUSING ALZHEIMER’S DISEASE USING LOGIT, PROBIT, AND GOMPIT LINK FUNCTIONS IN GENERALIZED LINEAR MODEL Kurniawan, Ardi; Budijono, Gabriella Agnes; Siagian, Kimberly Maserati; Abdillah, Adrian Wahyu
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 4 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss4pp2877-2890

Abstract

This study addresses the ongoing challenge of clarifying the risk factors contributing to Alzheimer's disease, a neurodegenerative condition marked by progressive cognitive decline and memory dysfunction, with cases rising globally. To provide a more accurate and comprehensive understanding of the predictors associated with the disease, this research models the contributing factors using logit, probit, and gompit link functions within the Generalized Linear Model (GLM). Utilizing secondary data from 2024, which includes predictor variables such as age, family history, head injury, hypertension, memory complaints, and behavioral disturbances, this research models the relationship between these variables and Alzheimer's diagnosis. The analysis finds that the logit, probit, and gompit link functions yield significant results in identifying risk factors associated with Alzheimer's diagnosis, particularly memory complaints and behavioral disturbances. The gompit link is selected as the best model due to its highest deviance R-squared value of 30.01%, indicating better reliability in predicting Alzheimer's diagnosis than other models. This GLM approach provides insights to support early prevention and intervention efforts for Alzheimer's disease and contribute to achieving Sustainable Development Goals (SDGs) number 3 on good health and well-being.
Co-Authors Abdillah, Adrian Wahyu Abdul Rochim Adriadi, Rekho Alda Fuadiyah Suryono Alexandra, Victoria Anggia Alfinda Novi Kristanti Alghifary, M Husain Haekal Aminy, Aisyah Andreawan, Anto Anggakusuma, Aurellia Calista Arisa Olivia Putri Ayanti Kristantini, Rr Az Zuhro, Muhammad Rosyid Ridho Azizah, Khansa Baskoro , Harjo Boy Firmansyah Budijono, Gabriella Agnes DENOK SETIAWATI Dewanti, Maria Setya Dianova, Brainvendra Widi Dita Amelia Dita Amelia, Dita Easyfa Wieldyanisa, Ezha Elly Ana Faizun, Nurin Fajrina, Sofia Fatmawati Fatmawati Fauziah, Nathania FIRMANSYAH, MOCHAMMAD Gunawan, Syifa’ Azizah Putri Herdianto, Muhammad Hendra Hermawan, Mohamad David Idrus Syahzaqi Insania Dewanty, Sanda Jihadi , Hilman Kurniawan Harminsyah Baharuddin Kusuma Wardhana, Feri M. Fariz Fadillah Mardianto M.Riduan Abdillah Mahadesyawardani, Arinda 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 Prastyaningrum, Aprilia Pratiwi, Firda Aulia Previan, Anggara Teguh Rahmanita, Tentri Ryan Reswara, Aqil Azmi Rimuljo Hendradi Riza Firdaus, Muhammad Sa'idah, Andini Sadikin, Adnan Syawal Adilaha Santoso, Rifaldi Wahyu Saputra, Kalvin Sari, Ni Wayan Widya Septia Sediono, Sediono Siagian, Kimberly Maserati Siregar, Naufal Ramadhan Al Akhwal Smith, Khalid Al Hadring Sri Indarti 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