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All Journal MATEMATIKA JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI Bulletin of Electrical Engineering and Informatics Jurnal Ketahanan Nasional Jurnal Sains Matematika dan Statistika Syntax Literate: Jurnal Ilmiah Indonesia MUST: Journal of Mathematics Education, Science and Technology BAREKENG: Jurnal Ilmu Matematika dan Terapan JTAM (Jurnal Teori dan Aplikasi Matematika) Zeta - Math Journal J Statistika: Jurnal Ilmiah Teori dan Aplikasi Statistika Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan Variance : Journal of Statistics and Its Applications Jurnal Varian Inferensi Jurnal Keselamatan Transportasi Jalan (Indonesian Journal of Road Safety) Journal of Mathematics Education and Science Journal of Scientific Research, Education, and Technology Jurnal Statistika dan Komputasi (STATKOM) Eksponensial Economic Development Analysis Journal PARADIGM : JOURNAL OF MULTIDISCIPLINARY RESEARCH AND INNOVATION Jurnal Keselamatan Transportasi Jalan

Ana, Elly

Statistics Study Program, Faculty Of Science And Technology, University Of Airlangga, Surabaya, Indonesia

Author-ID : 3834314

Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering 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 Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Pemodelan status kelayakan saham di aplikasi ajaib menggunakan metode regresi logit ordinal Nugroho, Hariawan Widi; Sediono, Sediono; Ana, Elly
Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan Vol. 4 No. 9 (2022): Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan
Publisher : Departement Of Accounting, Indonesian Cooperative Institute, Indonesia

The development of the capital market cannot be separated from the contributions of investors and brokers. From 2018 until the end of September 2021, the number of investors has increased every year. PT. Ajaib Sekuritas Asia is one of the brokerage companies listed on the IDX. The purpose is for modelling, analyzing, and interpreting the stock eligibility status in the Ajaib using the ordinal logistic regression with logit function. The data used in this study is secondary data which includes: RoA (Return on Assets), GPM (Gross Profit Margin), OPM (Operating Profit Margin), NPM (Net Profit Margin), and Stock Status. All data is available in the Ajaib investment application, so Ajaib is the main data source in this research. The study result indicate that there are patterns between Return on Assets, Gross Profit Margin, Operating Profit Margin, and Net Profit Margin, to the stock eligibility status. The predictability of the model reached 49.22% and the pseudo R2is 19% with an error rate of 5%. Based on the results of the study, it can be concluded that there is a pattern of relationship between the issuer's financial indicators, which include Return on Assets (RoA), Gross Profit Margin (GPM), Operating Profit Margin (OPM), and Net Profit Margin (NPM), on the feasibility status of existing shares. In the Magic investment app. A positive relationship is shown by RoA, GPM, and NPM to the logit function of stock eligibility status, while a negative relationship is only shown by OPM to stock eligibility status.

Analisis Korelasi Kanonik Terhadap Hubungan Faktor Meteorologi dengan Produksi Tanaman Perkebunan Baihaqi, Mochammad; Dwiyanto, Adelia Sukma; Rahmada, Indrastanto Oktodian; Pratama, Fachriza Yosa; Mardianto, M. Fariz Fadillah; Amelia, Dita; Ana, Elly
Zeta - Math Journal Vol 9 No 2 (2024): November
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/zeta.2024.9.2.73-82

Tanaman perkebunan merupakan tanaman yang hasil panennya bisa berbeda-beda tergantung dengan keadaan udara yang termasuk indikator meteorologi. Untuk mengetahui hal tersebut dapat menggunakan analisis korelasi kanonik. Penelitian yang dilakukan menggunakan data sekunder, yakni data yang berasal dari sumber yang telah ada.Hasil pencatatan dari faktor meteorologi dan produksi tanaman perkebunan menurut Provinsi pada tahun 2015 digunakan sebagai data sekunder yang akan dianalisis. Data yang diambil yaitu data faktor meteorologi yang terdiri dari suhu (Y1), kelembaban (Y2), curah hujan (Y3), penyinaran matahari (Y4), tekanan udara (Y5) dan data produksi tanaman perkebunan yang terdiri dari Kelapa Sawit (X1), kelapa (X2), karet (X3), kopi (X4), kakao (X5). Tujuan melakukan penelitian ini untuk memberikan informasi adakah atau tidak adakah pengaruh faktor meteorologi dengan produksi tanaman perkebunan dan juga mengetahui faktor meteorologi dengan pengaruh terbesar atau terbaik terhadap produksi tanaman perkebunan. Dari hasil analisis korelasi kanonik diperoleh hasil bahwa hubungan faktor meteorologi dan produksi tanaman perkebunan, variabel indikator pada variabel faktor meteorologi yang paling dominan adalah tekanan udara dengan pengaruhnya terhadap produksi tanaman perkebunan sebesar 96.2%. Sedangkan variabel produksi tanaman perkebunan yang dominan adalah variabel kelapa sawit dengan nilai korelasi yang paling tinggi yaitu sebesar 1.129.

Hubungan Kondisi Udara Terhadap Produktivitas dan Produksi Kacang Tanah Indonesia Berdasarkan Korelasi Kanonik Ramadhan, Achmad Wahyu; Ghasani, Anisah Nabilah; Siagian, Kimberly Maserati; Pambudi, Daffa Satrio; Mardianto, M. Fariz Fadillah; Amelia, Dita; Ana, Elly
Journal of Mathematics Education and Science Vol. 7 No. 2 (2024): Journal of Mathematics Education and Science
Publisher : Universitas Nahdlatul Ulama Sunan Giri Bojonegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/james.v7i2.2650

Sektor pertanian di Indonesia, yang didominasi oleh tanaman kacang tanah sebagai sumber pangan kaya protein dan lemat, menghadapo tantangan produktivitas akibat ketidaksesuaian lahan dan juga kondisi udara, seperti suhu dan kelembaban yang tidak optimal. Tujuan dari penelitian ini adalah untuk mengetahui hubungan antara suhu dan kelembaban udara dengan produktivitas dan produksi kacang tanah di 34 provinsi di Indonesia untuk memahami dampaknya terhadap hasil pertanian dan ketahanan pangan di Indonesia. Pada penelitian ini, metode penelitian yang digunakan adalah analisis korelasi kanonik. Penelitian ini menggunakan data sekunder, yang merujuk pada informasi yang diperoleh dari sumber data Badan Pusat Statistik (BPS) melalui e-book statistika lingkungan hidup di Indonesia tahun 2022. Berdasarkan analisis korelasi kanonik disimpulkan bahwa hubungan antara suhu udara terhadap produktivitas kacang tanah mengakomodasi 99,26487% hubungan kanonikal, lalu 0,73513% diakomodasi dalam hubungan antara kelembaban udara terhadap produksi kacang tanah. Kesimpulan dari penafsiran koefisien variabel kanonikal, termasuk bobot, muatan, dan muatan-silang, menunjukkan bahwa terdapat interaksi antara suhu dan kelembaban udara dengan produktivitas dan produksi kacang tanah di Indonesia.

Analisis Korespondensi Hasil Produksi Budidaya Perikanan Berdasarkan Jenis Budidaya dan Pembagian Wilayah di Indonesia Abdillah, Adrian Wahyu; Marthabakti, CitraWani; Budijono, Gabriella Agnes; Wulandari, Indana Zulfa; Amelia, Dita; Mardianto, M. Fariz Fadillah; Ana, Elly
Jurnal Sains Matematika dan Statistika Vol 11, No 1 (2025): JSMS Januari 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jsms.v11i1.27913

Indonesia dikenal sebagai negara maritim karena mayoritas wilayahnya terdiri dari perairan sehingga sektor perikanan menjadi bagian integral dari kehidupan dan ekonomi masyarakat Indonesia. Produk perikanan menjadi salah satu komoditas ekspor utama Indonesia. Adanya perbedaan faktor geografis dan topografis di berbagai wilayah Indonesia berpengaruh terhadap jenis budidaya yang paling cocok pada keberhasilan budidaya perikanan. Oleh karena itu, penelitian menganalisis kecenderungan dari jenis budidaya perikanan dengan wilayah Indonesia secara geografis. Hasil pencatatan dari Produksi Budidaya Perikanan Menurut Provinsi dan Jenis Budidaya pada tahun 2021 digunakan sebagai data sekunder yang akan dianalisis. Pendekatan statikstika yang dipilih yaitu analisis korespondensi dengan jenis budidaya perikanan dan pembagian wilayah Indonesia sebagai variabel analisis. Sebelum dilakukan analisis korespondensi, diperlukan uji independensi yang hasilnya adalah terdapat keterkaitan yang nyata antar kedua variabel. Dari hasil analisis korespondensi diperoleh bahwa jenis budidaya jaring apung tawar, jaring apung laut, tambak intensif, tambak semi intensif, kolam air tenang, kolam air deras, dan minapadi sawah lebih cenderung dikembangkan di wilayah barat. Sedangkan jenis budidaya jaring tancap tawar, tambak sederhana. karamba, dan rumput laut lebih cenderung dikembangkan di wilayah tengah. Dan jenis budidaya laut lainnya lebih cenderung dikembangkan di wilayah timur Indonesia. Dari hasil ini, para pelaku produksi perikanan budidaya dapat menggunakannya sebagai acuan dalam memilih jenis budidaya yang tepat sehingga hasil produksi dapat lebih maksimal.

Representasi Perseptual Mapping Masyarakat Terhadap Perbedaan Kualitas Transportasi Di Surabaya Dengan Multidimensional Scalling Syaugi Sungkar, Salman; Khairian, Farhan Aldan; Marpaung, Josua Ronaldo Davico; Hardiansyah, Fernanda Rizky; Saifudin, Toha; Ana, Elly
Jurnal Keselamatan Transportasi Jalan (Indonesian Journal of Road Safety) Vol. 12 No. 1 (2025): JURNAL KESELAMATAN TRANSPORTASI JALAN (INDONESIAN JOURNAL OF ROAD SAFETY)
Publisher : Pusat Penelitian dan Pengabdian Masyarakat (P3M)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46447/ktj.v12i1.689

Infrastructure is one of the important factors in driving economic growth, and transportation is an inseparable part of it. This research aims to assess the sustainability of transportation in Surabaya City by looking at the level of user satisfaction from four main aspects, namely speed, comfort, safety, and price. The research was conducted in 2025 by involving 32 respondents. The data was analyzed using the Multidimensional Scaling (MDS) method, which was used to map six types of transportation modes: Indonesian Railways (KAI) Local, Suroboyo Bus, motorcycle online ojek, car online ojek, TransJatim Bus, and city transportation (angkot) or wara-wiri. The results show that Suroboyo Bus obtained the highest satisfaction score from users, with an average value of 3.13. Meanwhile that, the results of MDS mapping divide transportation modes into four groups, namely The first quadrant contains KAI Local and city transportation, the second quadrant is only filled by online motorcycle taxis, the third quadrant is inhabited by online car taxis, the fourth quadrant includes two bus-based transportation modes, namely Suroboyo Bus and TransJatim Bus. This model is evaluated using stress value of 0.06650 and RLQ of 0.97611. Both values indicate that the model is classified as good and reliable to describe customer satisfaction perceptions of transportation modes in Surabaya.

Pemodelan Indeks Kualitas Lingkungan Hidup di Indonesia dengan Spline Truncated dan MARS Fitri, Marfa Audilla; Suliyanto, Suliyanto; Mardianto, M Fariz Fadillah; Ana, Elly
Jurnal Statistika dan Komputasi Vol. 4 No. 1 (2025): Jurnal Statistika dan Komputasi
Publisher : Universitas Nahdlatul Ulama Sunan Giri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/statkom.v4i1.4394

Background: Indonesia, endowed with abundant natural resources, faces substantial challenges in maintaining environmental quality amid rapid urbanization and economic growth. The 2022 Environmental Performance Index ranked Indonesia 164th out of 180 countries with a score of 28.2. Regionally, Indonesia ranked 22nd among 25 Asia-Pacific countries. The Environmental Quality Index (EQI), crucial for achieving the Sustainable Development Goals (SDGs), was recorded at 72.42 in 2022, classified as "fair." This condition underscores the need for in-depth analysis of key factors influencing environmental quality. Objective: This study aims to examine significant factors affecting the Environmental Quality Index (EQI) across Indonesian provinces using appropriate nonparametric statistical methods. Methods: A nonparametric regression approach, specifically the Multivariate Adaptive Regression Spline (MARS) and the truncated spline multipredictor model, was applied. Predictor variables included the Human Development Index (HDI), population density, access to proper sanitation, poverty rate, and Gross Regional Domestic Product (GRDP). Secondary data for 34 provinces in 2022 were sourced from the Central Bureau of Statistics and the Ministry of Environment. Results: The truncated spline model demonstrated superior performance, achieving a minimal MSE of 5.63308, minimal GCV of 10.42, and R2 of 82.63%, outperforming MARS, which yielded a minimal MSE of 7.685, GCV of 16.014, and R2 of 79.3%. All predictor variables significantly influenced EQI. Conclusion: Social and economic factors were found to significantly affect environmental quality. The truncated spline approach offers an effective modeling alternative, providing critical insights to support environmental policy development at the provincial level.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46447/ktj.v12i1.689

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

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.

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

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.

Spatial Modelling of Child Malnutrition in East Java using Geographically Weighted Regression Gunawan, Syifa' Azizah Putri; Fortunata, Regina; Ana, Elly
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 9, No 4 (2025): October
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v9i4.32103

Child malnutrition is a persistent public health issue in East Java, Indonesia, characterized by uneven spatial distribution across its 38 regencies and cities. This study aims to model the prevalence of malnutrition among children under five using Geographically Weighted Regression (GWR) to identify locally significant determinants. Secondary data used in this study is prevalence of child nutritional status by regencies/cities in East java, taken from the 2023 Indonesian Health Survey, incorporating seven predictor variables: low birth weight prevalence, complete immunization coverage, exclusive breastfeeding, access to improved sanitation, number of community health posts (Posyandu), access to clean water, and poverty rate. Spatial dependence and heterogeneity were confirmed through Moran’s I (p = 0.009) and Breusch-Pagan tests (p = 0.024), validating the application of GWR. Spatial dependence and heterogeneity were confirmed through Moran’s I (p = 0.009) and the Breusch-Pagan test (p = 0.024), indicating the relevance of a spatial modelling approach. The best-performing model used an adaptive bi-square kernel (CV = 0.133; R² = 94.15%). All predictors exhibited spatial variability with statistically significant effects in specific regions (p < 0.05). In Tuban Regency, for instance, five variables including low birth weight, breastfeeding practices, and sanitation were significantly associated with malnutrition rates. These findings suggest that the relationship between predictors and malnutrition is not uniform across regions. GWR enables the identification of local patterns often overlooked by global models, offering a more accurate understanding of spatial disparities. The results provide strong evidence for developing targeted, region-specific public health strategies to address child malnutrition more effectively in East Java

Co-Authors Abdillah, Adrian Wahyu Adma Novita Sari Aflaha, Nabila Shafa Agnes Happy Julianto Ain, Dzuria Hilma Qurotu Aini Divayanti Arrofah Aldawiyah, Najwa Khoir Alya Rahma Inneztiana Amalia, Nadinta Kasih Ameliatul 'Iffah Anggriawan, Muhammad Rizal Aniq Atiqi Anisa Laila Azhar Annisa Putri Nayumi Ardi Kurniawan Ardi Kurniawan Ariyawan, Jovansha Astuti, Aprillia Aulia Ramadhanti Aulia, Niswa Faizah Ayuning Dwis Cahyasari Azzah Nazhifa Wina Ramadhani Bintang Alyaa Sabila Budi Lestari Budijono, Gabriella Agnes Cantika Dhiya Christopher Andreas Cynthia Anggelyn Siburian Darmawan, Kezia Eunike Davina Shafa Vanisa Dewanty, Sanda Insania Dewi, Berlianti Alisa Dita Amelia Dita Amelia Dita Amelia, Dita Doni Muhammad Fauzi Dwiyanto, Adelia Sukma Elly Pusporani Erfiana Erfiana Faradilla Harianto Farah Fauziah Putri Fauzi, Doni Muhammad Fitri, Marfa Audilla Fitriyani, Mubadi’ul Fortunata, Regina Ganesya Intantalia Ghasani, Anisah Nabilah Grace Lucyana Koesnadi Gunawan, Syifa' Azizah Putri Hardiansyah, Fernanda Rizky Humaira, Edla Putri Ilma Amira Rahmayanti Inneztiana, Alya Rahma Isna Nurul Izza Amalia Julia Widiyanti Karina Rubita Makhbubah Karina Tri Handayani Khairian, Farhan Aldan Khoirun Niswatin Kurnia, Rizky Dwi Kusuma, Shalwa Oktavia M. Fariz Fadillah Mardianto M. Nabil Saputra Mahadesyawardani, Arinda Marbun, Barnabas Anthony Philbert Marcel Laverda Subiyanto Maria Setya Dewanti Marpaung, Josua Ronaldo Davico Marthabakti, CitraWani Maulana Syah Putra Ramadhani Mochammad Baihaqi Muhammad Fikry Al Farizi Muhammad Rizaldy Baihaqi Muhammad Rosyid Ridho Az Zuhro Muhammad Walid Jumlat Na'imatul Lu'lu'a Nadia Dwi Marwanda Nitasari, Alfi Nur Noviatus Sholihah Nugroho, Hariawan Widi Nur Chamidah Nur chamnidah Nurdin, Nabila Pambudi, Daffa Satrio Pratama, Fachriza Yosa Putra, Mochamad Rasyid Aditya Putri Fardha Asa Oktavia Hans Putri Masyita Qomaryah Putri, Farah Fauziah Rahmada, Indrastanto Oktodian Rahmanita, Tentri Ryan Ramadhan, Achmad Wahyu Ramadhani, Maulana Syah Putra Ramadhanty, Devira Thania Salsabila, Fatiha Nadia Salsabylla Nada Apsariny Sanda Insania Dewanty Sari, Ni Wayan Widya Septia Sediono, Sediono Shafira Renianti, Fayza Siagian, Kimberly Maserati Siti Maghfirotul Ulyah Sofia Andika Nur Fajrina Suliyanto Suliyanto Suliyanto Suliyanto Suryono, Alda Fuadiyah Syaugi Sungkar, Salman Tagawa, Dustin Nathanael Tianda, Izhar Muhammad Toha Saifudin Vanisa, Davina Shafa Wibawa, Yoga Setya Wulandari, Indana Zulfa Yolanda Swastika Yonani Zahrani, Vista Vanadya Zhafirab, Azizah Atsariyyah

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