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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

Abstract

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

Abstract

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.
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

Abstract

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.  
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.
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.
Peningkatan Kompetensi AKM Numerasi Guru SMAN 6 Surabaya Melalui Pembelajaran Interaktif sebagai Upaya Mendukung Kualitas Pembelajaran di Kelas Pusporani, Elly; Syahzaqi, Idrus; Sediono, Sediono; Ana, Elly; Melati, Adinda Tries; Salsabila, Ailsa Shafa; Riyanto, Aufa Muhammad Yogi; Ariyani, Azizah Dewi; Maulana, Bagas; Victoria, Deby; Ismi, Ferissa Maulida; Sangadji, Nurul Fajriah Deswani; Ibrahim, Rahmat Agung; Karima, Sasy Okti
I-Com: Indonesian Community Journal Vol 5 No 3 (2025): I-Com: Indonesian Community Journal (September 2025)
Publisher : Fakultas Sains Dan Teknologi, Universitas Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/i-com.v5i3.8022

Abstract

Perubahan kurikulum di Indonesia belum memberikan dampak signifikan terhadap peningkatan kompetensi siswa, sehingga pemerintah meluncurkan Asesmen Kompetensi Minimum (AKM) dengan fokus literasi dan numerasi. Di SMAN 6 Surabaya, siswa mengalami kejenuhan dalam pembelajaran numerik sehingga diperlukan upaya pendukung melalui program pengabdian masyarakat. Kegiatan ini bertujuan meningkatkan kompetensi guru dalam merancang pembelajaran numerasi kontekstual berbasis AKM. Metode pelaksanaan meliputi sosialisasi, pelatihan, pendampingan, serta publikasi dan keberlanjutan program selama satu bulan dengan peserta 40 guru. Hasil evaluasi menunjukkan peningkatan skor rata-rata dari 45 (pre-test) menjadi 64 (post-test), serta tersusunnya modul pembelajaran interaktif dan soal AKM Numerasi. Kegiatan ini terbukti mampu meningkatkan kapasitas guru dalam mengimplementasikan strategi pembelajaran numerasi. Ke depannya, guru diharapkan terus mengembangkan kreativitas penyusunan soal, sekolah membentuk community of practice sebagai wadah berkelanjutan, serta dukungan pemerintah diperlukan melalui fasilitas dan kebijakan strategis.
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

Abstract

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 
Penerapan Analisis Diskriminan terhadap Data Penjualan Ikan Darmawan, Kezia Eunike; Putra, Mochamad Rasyid Aditya; Fitriyani, Mubadi’ul; Dewi, Berlianti Alisa; Amelia, Dita; Mardianto, M. Fariz Fadillah; Ana, Elly
Zeta - Math Journal Vol 8 No 1 (2023): Mei
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/zeta.2023.8.1.30-38

Abstract

Lautan memiliki lebar yang sangat luas dibanding daratan yang ada di bumi kita. Tidak hanya daratan saja yang dihabitati oleh makhluk hidup, tetapi perairan juga. Peraian sendiri dibagi menjadi berbagai macam yaitu air tawar, air laut, dan air payau Banyaknya kelompok dan jenis ikan yang ada membuat kita harus mengelompokkannya berdasarkan kelompok untuk dapat membedakannya. Kelompok ikan didasarkan dengan berbagai macam kelompok seperti habitat, bentuk, anatomi, hingga ukurannya. Mengutip dari data yang didapatkan pada laman kaggle, terdapat jenis ikan yang memiliki bentuk hampir menyerupai satu sama lain. Jenis-jesnis ikan yang disebutkan dalam data yaitu ikan bream, ikan parkki, ikan pearch, ikan smelt, ikan whitefish, ikan pike, dan juga ikan roach. Dilakukanlah analisis diskriminan untuk mengklasifikasikan ikan yang belum dapat dibedakan karena bentuk fisiknya yang hampir menyerupai ke dalam gugus/kelompok yang sudah ditentukan supaya tidak terjadi kerugian dalam penjualan pasar ikan. Pada hasil analisis dengan uji Wilk’s Lambda didapatkan masing-masing jenis ikan memiliki perbedaan yang signifikan, lalu kelima fungsi diskriminan dapat secara nyata membedakan ketujuh kategori target kelompok.
Reduksi Faktor-Faktor yang Mempengaruhi Kualitas Air Hujan dengan Metode Analisis Komponen Utama Nitasari, Alfi Nur; Salsabila, Fatiha Nadia; Ramadhanty, Devira Thania; Anggriawan, Muhammad Rizal; Amelia, Dita; Mardianto, M. Fariz Fadillah; Ana, Elly
Zeta - Math Journal Vol 8 No 1 (2023): Mei
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/zeta.2023.8.1.7-15

Abstract

The increase in air pollution that occurs due to industrial and economic activities will affect the rainwater content. The vital function of one of the sources of clean, namely rainwater, makes the urgency of research on indications of a decrease in rainwater quality by analyzing the substances contained. The parameters used for the determination of rainwater quality are the degree of acidity, conductivity, calcium, magnesium, sodium, potassium, ammonium, sulfate ions, nitrate ions, chloride ions, total hardness, and acidity. The data source used is data from the Central Statistics Agency (BPS) entitled "Indonesian Environmental Statistics 2022". By using the main component analysis method to reduce the variables of rainwater quality influence factors in 35 city/station samples in Indonesia, results were obtained, namely rainwater quality influence factors that can be formed into three main components with each containing 10 variables consisting of acidity, conductivity, magnesium, sodium, potassium, chloride ions, sulfate ions, nitrate ions, total hardness, and acidity capable of explaining 73.695% of the total variance.
Co-Authors Abdillah, Adrian Wahyu Adma Novita Sari Aflaha, Nabila Shafa Agnes Happy Julianto Ameliatul 'Iffah Anggriawan, Muhammad Rizal Ardi Kurniawan Ariyani, Azizah Dewi Ariyawan, Jovansha Aulia, Niswa Faizah Budijono, Gabriella Agnes Carista, Nashwa Darmawan, Kezia Eunike Davina Shafa Vanisa Dewi, Berlianti Alisa Dita Amelia Dita Amelia Dita Amelia, Dita Dwiyanto, Adelia Sukma Elly Pusporani Fitri, Marfa Audilla Fitriyani, Mubadi’ul Fortunata, Regina Ghasani, Anisah Nabilah Gunawan, Syifa' Azizah Putri Hardiansyah, Fernanda Rizky Humaira, Edla Putri Ibrahim, Rahmat Agung Idrus Syahzaqi Ismi, Ferissa Maulida Jannah, Sa'idah Zahrotul Karima, Sasy Okti Khairian, Farhan Aldan M. Fariz Fadillah Mardianto Mahadesyawardani, Arinda Makkiyah, Afifah Nur Marbun, Barnabas Anthony Philbert Marpaung, Josua Ronaldo Davico Marthabakti, CitraWani Maulana, Bagas Melati, Adinda Tries Mochammad Baihaqi Muhammad Rosyid Ridho Az Zuhro Naura, Sheila Sevira Asteriska Nitasari, Alfi Nur Nugroho, Hariawan Widi Nurdin, Nabila Pambudi, Daffa Satrio Pratama, Fachriza Yosa Putra, Mochamad Rasyid Aditya Rahmada, Indrastanto Oktodian Rahmanita, Tentri Ryan Ramadhan, Achmad Wahyu Ramadhani, Azzah Nazhifa Wina Ramadhani, Maulana Syah Putra Ramadhanti, Aulia Ramadhanty, Devira Thania Riyanto, Aufa Muhammad Yogi Salsabila, Ailsa Shafa Salsabila, Fatiha Nadia Sangadji, Nurul Fajriah Deswani Sari, Ni Wayan Widya Septia Sediono, Sediono Siagian, Kimberly Maserati Suliyanto Suliyanto Suliyanto Syaugi Sungkar, Salman Tagawa, Dustin Nathanael Toha Saifudin Toha Saifudin Trisa, Nadya Lovita Hana Vanisa, Davina Shafa Victoria, Deby Wibawa, Yoga Setya Wulandari, Indana Zulfa Zhafirab, Azizah Atsariyyah