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All Journal JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI Jurnal Matematika & Sains Wahana : Tridarma Perguruan Tinggi Jambura Journal of Mathematics Psikostudia : Jurnal Psikologi Variance : Journal of Statistics and Its Applications Jurnal Riset Pembangunan : Media Hasil Penelitian dan Kajian Pembangunan Daerah Jurnal E-Bis: Ekonomi Bisnis Inferensi JAMBURA JOURNAL OF PROBABILITY AND STATISTICS JOURNAL SCIENTIFIC OF MANDALIKA (JSM) Bioscientist : Jurnal Ilmiah Biologi VARIANSI: Journal of Statistics and Its Application on Teaching and Research Progressive Physics Journal Eksponensial Jurnal Teknologi Lingkungan UNMUL Malahayati International Journal of Nursing and Health Science
Sri Wahyuningsih
Program Studi Statistika, Jurusan Matematika, Fakultas MIPA, Universitas Mulawarman
Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Nursing Physics Public Health Social Sciences Other

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Implementasi Model Hybrid Autoregressive Fractionally Integrated Moving Average-Neural Network (ARFIMA-NN) pada Peramalan Indeks Harga Saham Gabungan Khairunnisa Avrilia; Desi Yuniarti; Wiwit Pura Nurmayanti; M. Fathurahman; Sri Wahyuningsih
VARIANSI: Journal of Statistics and Its application on Teaching and Research Vol. 8 No. 1 (2026)
Publisher : Program Studi Statistika Fakultas MIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/variansiunm487

Abstract

Fenomena fluktuasi ekstrem pada harga penutupan Indeks Harga Saham Gabungan (IHSG) di Bursa Efek Indonesia (BEI) menciptakan ketidakpastian yang sulit diprediksi, sehingga peramalan pada data harga penutupan IHSG dapat membantu investor untuk mengantisipasi risiko investasi dan mempermudah investor untuk menentukan strategi investasi pada periode mendatang. Model hybrid Autoregressive Fractionally Integrated Moving Average-Neural Network (ARFIMA-NN) diimplementasikan karena model ini mampu menangani karakteristik long memory dan memiliki kemampuan menangkap pola non-linier, yang diharapkan dapat meningkatkan akurasi pada peramalan. Berdasarkan hasil analisis, diperoleh hasil peramalan menggunakan model hybrid ARFIMA-NN dengan 1 hingga 3 neuron yang menunjukkan bahwa nilai MAPE berada di bawah 10% atau peramalan sangat baik. Selanjutnya berdasarkan model hybrid ARFIMA(1;0,51;4)-NN 2 menggunakan data IHSG periode Januari 2005 hingga dengan Desember 2024 diperoleh IHSG periode Januari hingga Desember 2025 yang meningkat setiap bulannya.
Analisis Persepsi Masyarakat Terhadap Partisipasi Pengelolaan Sampah di Kelurahan Loa Bakung Kota Samarinda Reni Wulandari; Moh. Mustakim; Jawatir Pardosi; Henny Pagoray; Eva Rachmi; Sri Wahyuningsih
Bioscientist : Jurnal Ilmiah Biologi Vol. 13 No. 4 (2025): December
Publisher : Department of Biology Education, FSTT, Mandalika University of Education, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/bioscientist.v13i4.16602

Abstract

This study aims to identify and analyze the relationship between the level of perception and the level of community participation in household waste management in Loa Bakung Village. The research employed both quantitative and qualitative methods using questionnaires, literature review, and direct observation. Respondents were selected using purposive sampling with a total of 80 participants. The results show a p-value of 0.001 ≤ α = 0.05 with a correlation coefficient of 0.361, indicating that there is a correlation between perception and participation in waste management, although the relationship is weak and positive. Qualitative findings reveal that waste banks can help reduce waste volume (66.3%) and highlight the importance of separating organic and inorganic waste (61.3%). However, actual participation remains limited, with only a small proportion of respondents regularly practicing waste sorting, composting, or recycling. The suggested recommendation is the need for awareness programs through KIE (Communicative, Implementation, and Education) approaches and regular monitoring.
Pengaruh Cognitive Behavior Therapy dan Tekhnik Relaksasi Terhadap Poskotuwa (Program Stop Merokok Mahasiswa) Lina Marlina; Intan Maya Savitri; Aulia Ramdani; Sri Wahyuningsih
Psikostudia : Jurnal Psikologi Vol 3, No 2 (2014): Psikostudia : Jurnal Psikologi
Publisher : Program Studi Psikologi, Fakultas Ilmu Sosial dan Ilmu Politik, Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/psikostudia.v3i2.2249

Abstract

Efek langsung rokok yang menyenangkan sangat sulit untuk diatasi, hal ini menyebabkan penghentian secara tiba-tiba tanpa keterampilan tertentu akan menimbulkan stres. Penelitian ini bertujuan untuk memberikan pelatihan CBT (Cognitive Behavior Therapy) yang dipadukan dengan late diet (yang prosedurnya dilakukan setahap demi tahap dan sertai dengan konseling) terhadap penurunan perilaku merokok pada mahasiswa perokok di Universitas Mulawarman. Metode yang dipakai dalam penelitian ini adalah metode penelitian kuantitatif eksperiemental. Subjek penelitian adalah mahasiswa perokok di Universitas Mulawarman, Samarinda yang berjumlah 30 orang yang dibagi menjadi dua kelompok yaitu kelompok kontrol dan kelompok eksperimental. Teknik pengumpulan data menggunakan skala dan teknik analisa data menggunakan independent sample t-test. Hasil penelitian menunjukkan cognitive behavior therapy yang dipadukan dengan late diet signifikan dalam menurunkan perilaku merokok.
Peramalan Nilai Transaksi Uang Elektronik Di Indonesia Menggunakan Double Exponential Smoothing Brown Dengan Optimasi Nonlinier Anna Putri Aritonang; Meiliyani Siringoringo; Wiwit Pura Nurmayanti; Sri Wahyuningsih; Suyitno Suyitno
EKSPONENSIAL Vol. 17 No. 1 (2026): Jurnal Eksponensial
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/8hjsey81

Abstract

The Double Exponential Smoothing (DES) Brown method is one of the forecasting methods used for data that exhibited a trend pattern, in which the smoothing process was performed twice. The determination of the optimal smoothing parameter in the DES Brown method is usually carried out through a trial-and-error process. Another way to obtain the optimal smoothing parameter value more quickly and accurately is by using nonlinear optimization. In this study, two optimization methods were used: the Golden Section and the Levenberg-Marquardt methods. The objectives of this research were to obtain the optimal smoothing parameter of the DES Brown method using the Golden Section and Levenberg-Marquardt optimizations, to forecast the value of electronic money transactions in Indonesia for the period of January to March 2025 using the DES Brown method with the optimal smoothing parameter, and to identify the best optimization method for determining the optimal smoothing parameter of DES Brown method were obtained based on the MAPE value. The results of the study showed that the optimal smoothing parameter of the DES Brown method using the Golden Section optimization was 0.4634178 and the Levenberg-Marquardt optimization was 0.3498674. 
Co-Authors AA Sudharmawan, AA Adelia Ramadhani Agus Yodi Gunawan Andrea Tri Rian Dani Anna Putri Aritonang Aulia Ramdani Dani, Andrea Tri Rian Daniel Tarigan Desi Yuniarti Dwi Agoes Setiawan Dwi Ayu Anggraini Dwi Ermawati Rahayu Edhi Sarwono Endang Sawitri Eva Rachmi Fachrian Bimantoro Putra Fikriah, Ika Hardina Sandariria Henny Pagoray Ika Purnamasari Intan Maya Savitri Izzah Vitaloca Jawatir Pardosi Kartika Ramadani Khairunnisa Avrilia Komsanah Sukarti Krispinus Duma KUKUH WAHYU HIDAYAT Kurni Permadi Latipah Latipah Lina Marlina M. Fathurahman Mahadi Muhammad Marlon I Aipassa Meiliyani Siringoringo Meirinda Fauziyah Memi Nor Hayati Moh Mustakim Muhammad Aldani Zen Nanda Arista Rizki Ndan Imang Nur Eka Fitria Qonita Qurrota A'yun Ratna Kusuma Reni Wulandari Rito Goejantoro, Rito Sholichin Sholichin Sri Wigantono Sutawanir Darwis Suyitno Suyitno Syaripuddin Syaripuddin Tiara Nur Hikmaulida Wiwit Pura Nurmayanti Yohanes Budi Sulistioadi YUKI NOVIA NASUTION Yunianto Setiawan, Yunianto