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All Journal ComEngApp : Computer Engineering and Applications Journal Jurnal Informatika dan Teknik Elektro Terapan Jurnal Ijtimaiyya as-sibyan : Jurnal Pendidikan Anak Usia Dini Ulumuddin : Jurnal Ilmu-ilmu Keislaman Jurnal Varian JATI (Jurnal Mahasiswa Teknik Informatika) Journal of Advanced in Information and Industrial Technology (JAIIT) Realita : Jurnal Bimbingan dan Konseling Jurnal Nuansa Akademik: Jurnal Pembangunan Masyarakat Jurnal Diferensial Intersections: Jurnal Pendidikan matematika dan matematika Agrimansion: Agribusiness Management & Extension Jurnal Kolaboratif Sains Jurnal Inkofar Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Data Sciences Indonesia (DSI) Asas wa Tandhim: Jurnal Hukum, Pendidikan, dan Sosial Keagamaan Eksponensial Parameter: Jurnal Matematika, Statistika dan Terapannya Jurnal Riset Sistem Informasi Jurnal Penelitian dan Pengabdian Masyarakat Emerging Statistics and Data Science Journal Gemi: Jurnal Penelitian dan Pengabdian
Muhammad Nasrudin
Universitas Cokroaminoto Yogyakarta
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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Evaluasi Kinerja Uji Normalitas pada Ragam Distribusi dan Ukuran Sampel Wara, Shindi Shella May; Adziima, Andri Fauzan; Nasrudin, Muhammad; Pratama, Alfan Rizaldy
JURNAL DIFERENSIAL Vol 7 No 2 (2025): November 2025
Publisher : Program Studi Matematika, Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jd.v7i2.24042

Abstract

The normal distribution is a fundamental assumption in many parametric statistical methods. Therefore, testing for data normality is a crucial step prior to further analysis. This study aims to evaluate the performance of three widely used normality test methods: Kolmogorov-Smirnov (KS), Anderson-Darling (AD), and Shapiro-Wilk (SW), across various distributions (standard normal, exponential, and t-student with degrees of freedom 1, 20, and 100) and sample sizes (n = 20, 50, 100, 200, and 500). Data were generated through simulation with 1000 iterations for each combination. The results show that the KS method performs well on standard normal and t-student distributions with larger degrees of freedom. The AD method proves to be more sensitive, especially in detecting deviations from normality, though it is less stable for small sample sizes. Meanwhile, the SW method demonstrates optimal performance with large samples. These findings provide practical guidance in selecting appropriate normality test methods based on the characteristics of the data.
Agroeduwisata Peluang Dan Tantangan Pengembangan Agroeduwisata Di Desa Waimital Kecamatan Kairatu Kabupaten Seram Bagian Barat Nasrudin, Muhammad
JURNAL AGRIMANSION Vol 26 No 2 (2025): Jurnal Agrimansion Agustus 2025
Publisher : Jurusan Sosial Ekonomi Pertanian Fakultas Pertanian Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/agrimansion.v26i2.1703

Abstract

Agro-edutourism is a form of ecotourism that offers an interesting opportunity to develop regional tourism. By utilizing the potential of nature and biodiversity and combining it with the agricultural sector, agro-edutourism can provide an interesting and educational experience for tourist. This study aims to analyze the opportunities and challenges in the development of agro-edutourism in Waimital Village, Kairatu District, West Seram Regency. A descriptive approach is used to collect data in the form of words. The data collected after being analyzed is then described so that it is easily understood by others. The method used is AHP (Analitical Hierarchy Process). The AHP method is a decision support model this decision support will describe complex multi-factor or multi-criteria problem into a hierarchy. The result of the study showed that Opportunity as the best Alternative with the highest priority score of 0,003417, the second priority is the Actor Party with a score of 0,002907, the third priority is Challenges with a score of 0,002181, and the last is Improvement with a score of 0,001133. Waimital Village has a very high opportunity for agro-edu-tourism development, due to the existence of agriculture, plantation, fisheries, livestock and many other agricultural and livestockindustrial productions that can support the development of agro-edu-tourism in Waimital Village in the future
PELATIHAN ASESMEN AUTENTIK BAGI GURU SEKOLAH DASAR MUHAMMADIYAH PAKEM SLEMAN Prihantoro, Agung; Nugroho, Taufik; Nasrudin, Muhammad; Hidayat, Ridwan Nur; Aprilia, Aprilia
Gemi: Jurnal Penelitian dan Pengabdian Vol. 4 No. 2 (2025): Gemi
Publisher : Universitas Cokroaminoto Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47200/gemi.v4i2.2410

Abstract

A kind of learning assessments that has not been done by the teachers of Pakem Muhammadiyah Elementary School, Sleman, Special Province of Yogyakarta is authentic assessment. Therefore, training and workshop of authentic assessment were held for the six teachers of 1—6 grades. Before and after the training and workshop were held, the teachers were pretested and postested. The training and workshop were held in forms of lecturing, discussing and designing authentic assessment. Scores of the pretest and postest were analyzed with Wilcoxon Signed-Rank Test. Ho is the training and workshop do not improve the teachers’ knowledge on authentic assessment. Ho is accepted if P-value < 0,05 with α = 0,05. Because of P-value < α, 0,00027 < 0,05, Ho is accepted. It concludes that the training and workshop do not improve the teachers’ knowledge on authentic assessment. It may be caused of limited durance of the training and workshop.
Application of VAR-GARCH for Modeling the Causal Relationship of Stock Prices in the Mining Sub-sector Nasrudin, Muhammad; Setyowati, Endah; May Wara, Shindi Shella
Jurnal Varian Vol. 8 No. 1 (2024)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v8i1.4239

Abstract

Accurate modeling is expected to minimize risk and maximize profit in investment portfolios, one ofwhich is in stock price modeling. This research aims to model the causal relationship between stockprices using the Vector Autoregressive - Generalized Autoregressive Conditional Heteroskedasticity(VAR-GARCH) model. The VAR-GARCH model is used to overcome heteroscedasticity and modeldynamic volatility. The data used for the modeling consists of daily stock prices from July 2023 toMay 2024 for mining sub-sector companies listed on the Jakarta Islamic Index (JII), including ADMR,ADRO, and ANTM. The results showed that the VAR(1) model is stable, but this model indicates thepresence of heteroskedasticity or ARCH effects. Therefore, the VAR(1) model was combined with theGARCH model, and the results showed that the best model is VAR(1)-GARCH(1,1). The VAR(1)-GARCH(1,1) model is appropriate and meets the homoskedasticity assumptions for modeling the stockprices of the mining sub-sector in the Jakarta Islamic Index (JII). This indicates that the VAR-GARCHmodel could successfully handle the volatility of stock price data. In general, this research is in linewith previous research, i.e., the VAR-GARCH model showed a better model for capturing the volatilitypatterns in the data.
Penerapan Repeated Measures MANOVA One-i pada Analisis Data Pendidikan Dasar di Indonesia: Application of Repeated Measures MANOVA One-i in Data Analysis of Elementary Education in Indonesia Gestyaki, Jacinda Ardina; Hadin, Tiara Audrey Anugerah; Anggie, Erna Novita; Nasrudin, Muhammad; Trimono
Jurnal Kolaboratif Sains Vol. 8 No. 11: November 2025
Publisher : Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/jks.v8i11.8823

Abstract

Penelitian ini menerapkan Repeated Measures Multivariate Analysis of Variance (RM MANOVA) One-Way sebagai metode statistik multivariat untuk menganalisis perbedaan indikator pendidikan dasar di Indonesia berdasarkan status sekolah negeri dan swasta. Tiga variabel dependen yang ditinjau adalah jumlah siswa, siswa yang mengulang, dan siswa yang putus sekolah, dengan data bersumber dari Portal Data Pendidikan Dasar dan Menengah tahun 2023. Sebelum analisis utama, dilakukan serangkaian uji asumsi guna memastikan kelayakan model, meliputi Bartlett’s Test untuk menilai kesamaan varians, Box’s M Test untuk menguji homogenitas matriks kovarians, serta Mardia’s Skewness–Kurtosis untuk memverifikasi normalitas multivariat. Hasil analisis RM MANOVA menunjukkan adanya perbedaan signifikan antara sekolah negeri dan swasta pada ketiga variabel dependen, dengan nilai Wilks’ Lambda = 0,6655 dan Pillai’s Trace = 0,3345 (p < 0,001). Uji lanjutan menggunakan ANOVA Univariat memperlihatkan pengaruh signifikan status sekolah terhadap jumlah siswa mengulang (F = 36,47; p < 0,001) dan jumlah siswa putus sekolah (F = 20,69; p < 0,001). Selanjutnya, uji Post-Hoc Tukey mengonfirmasi adanya perbedaan rata-rata yang nyata pada kedua variabel tersebut. Temuan ini menunjukkan bahwa RM MANOVA lebih unggul dibandingkan pendekatan univariat karena mampu menangkap keterkaitan antar variabel secara simultan, sehingga memberikan pemahaman yang lebih menyeluruh terhadap data yang kompleks. Oleh karena itu, penelitian ini berkontribusi tidak hanya dalam menjelaskan perbedaan capaian pendidikan dasar, tetapi juga dalam menegaskan relevansi penggunaan RM MANOVA sebagai pendekatan statistik yang efektif pada analisis data multivariat di bidang sosial.
A Hybrid Neural Network-Time Series Regression Model for Intermittent Demand Forecasting Data Amri Muhaimin; Damaliana, Aviolla Terza; Muhammad Nasrudin; Riyantoko, Prismahardi Aji; Nabilah Selayanti; Putri, Shafira Amanda
Journal of Advances in Information and Industrial Technology Vol. 7 No. 2 (2025): Nov
Publisher : LPPM Telkom University Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/jaiit.v7i2.704

Abstract

Forecasting is a vital tool that helps us make informed decisions by predicting future events based on past data. For forecasts to be accurate, it is important that the data is reliable, complete, and consistent. Yet, the intermittent data is a unique data that is challenging to forecast. Intermittent data contains a characteristic that the data has a lot of long zeros in some periods. The zero value will influence the model to generate a forecasting model. This study aims to tackle those problems by applying a hybrid approach. We integrate the regression model and neural network to create a novel approach for forecasting intermittent data. The dataset used for this data is from Kaggle, sales at Walmart supermarket for one category only. The sales data always produce an intermittent demand pattern, because not every day are the items always sold to customers. This irregular pattern makes the data difficult to forecast using a naïve approach, such as the Croston method, exponential smoothing, and ARIMA. To evaluate the performance of our model, some metrics were calculated. We use mean squared error, root mean squared error, and root mean squared scaled error. The result shows that our proposed method outperforms the benchmark model, with an RMSSE of 0.98, which is the lowest compared to other benchmark models in the root mean squared scaled error value. This result shows promise as an exciting solution for overcoming the challenges posed by irregular data in future forecasting tasks.
Analisis Pengaruh Tingkat Kriminalitas dan Kepadatan Penduduk Terhadap Indikator Kualitas Hidup Masyarakat melalui Pendekatan Two-Way MANOVA Dewi, Ni Luh Ayu Nariswari; Zalfa Assyadida, Azizah; Salma Namira, Alivia; Nasrudin, Muhammad; Trimono, Trimono
EKSPONENSIAL Vol. 16 No. 2 (2025): Jurnal Eksponensial
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/6ssnd846

Abstract

Quality of a population life is shaped by various social and structural conditions, including socioeconomic disparities, crime levels, and population pressure. Understanding how these factors interact is essential for evaluating regional welfare. Therefore, this study aims to examine the influence of crime rates and population density on the quality of life in Indonesia using a Two-Way Multivariate Analysis of Variance (MANOVA) approach. The dependent variables analyzed include the Human Development Index (IPM), the percentage of the poor population, and the open unemployment rate. The independent variables consist of categories of crime rates and population density levels. Prior to conducting the MANOVA, assumption tests were performed to ensure data adequacy, including multivariate normality testing using Mardia’s test, independence testing via Bartlett's Test of Sphericity, and homogeneity of variance testing with Box’s M Test. The analysis results indicate that neither crime rates nor population density levels significantly influence the three quality of life indicators simultaneously, as evidenced by the Wilks’ Lambda and Pillai’s Trace test outcomes. These findings suggest that policies aimed at improving quality of life should not solely focus on crime rates and population density but require a multidimensional approach encompassing other factors such as education, healthcare, and economic conditions. 
Co-Authors A.N. Ari Bowo Adziima, Andri Fauzan Agung Prihantoro Agus Suprianto Ahmad Dimyati Ahmad Salim Ahmad Syafii Rahman Ahmad Turmudzi Amelia Zafira Karnaen Amri Muhaimin Anggar Kaswati Anggie, Erna Novita Aprilia Aprilia, Aprilia Arifta, Septia Dini Arum Yuli Dwi Rahmawati Daluti Delimanugari Damaliana, Aviolla Terza Dewi, Ni Luh Ayu Nariswari Diyah Sari Endah Setyowati Endang Sriwinarsih Endang Sriwinarsih Fadilah Fadilah, Fadilah Fadillah, Nanaz Nur Fairuz Luthfia Winoto Putri, Maretta Fatmala, Friza Nur Fattah Setiawan Santoso Febyanti, Iin fernando, Mochamad Firman Gestyaki, Jacinda Ardina Gunawan, Jovanka Vania Hadin, Tiara Audrey Anugerah Hadiyan Pradipta, Alvino Hidayat, Ridwan Nur Hilman Harun Hudan Mudaris Imroatun Imroatun Intan Kusumawati Irawan, Tanaya Anindita Juhri Juhri Khairunisa, Adenda Khairunnisa, Nia Khilda Maulidiah Khufi, Rijal Apuila Kusharyadi, M. Nurhadyatullah Lely Nur Hidayah Syafitri M. Hadi Manshur MAFTUKHATUSOLIKHAH MAFTUKHATUSOLIKHAH Maulana Pasha, Naufal Ricko May Wara, Shindi Shella Mimi Indah Lestari Muhamad Mahali Muhammad Agus Najib Muhiyatul Huliyah Musaropah, Umi Muthmainnah Muthmainnah Mutiara M. Samosir Nabilah Selayanti Nadjih, Difla Nainggolan, Ester Yunita Nginayatul Khasanah Nginayatul Khasanah Nginayatul Khasanah Nugraheni, Setiawati Nur Ayu Zita Sari Nuryati Nuryati Pasha, Naufal Ricko Maulana Pradipa, Rafi Pratama, Alfan Rizaldy Pujiarto, Trimono Putri, Shafira Amanda rachmanto, Nugroho Fajar Rafli Feandika Nugroho, Muhammad Rahayu, Supriati Hardi Rhomaningtias, Lina Riyantoko, Prismahardi Aji Rudianto, Apip Safira Devi, Arsita Sakhi, Difta Alzena Salahudin, Anas Salma Namira, Alivia Siswadi Siswadi Siti Aisyah Suhandi Suhandi, Suhandi Supriyanti Supriyanti Supriyanti Supriyanti Syaiful . Syavicky, Ahmad Reihan Taufik Nugroho Toto Hermawan Tri Ratna Herawati Trimono Trimono Trimono Trimono, Trimono Triwahyu Budiutomo Wara, Shindi Shella May Wardah, Salsabila Westerdam Sean Jatindra, Reagen Widiyastuti, Anik Wiranthi Prastomo Witanto, Steffany Marcellia Wulandari, Hani Fitria Yayah Rukhiyah Yayah Rukhiyah Yurniati, Yurniati Zainul Arifin Zalfa Assyadida, Azizah