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All Journal Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Jurnal Pengabdian kepada Masyarakat Pattimura Proceeding : Conference of Science and Technology International Journal of Computing Science and Applied Mathematics-IJCSAM

Sugiyanto Sugiyanto

Universitas Sebelas Maret

Author-ID : 3756474

Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Economics, Econometrics & Finance Education Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Physics Public Health Social Sciences Other

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Articles

PENERAPAN METODE AUTO SINGULAR SPECTRUM ANALYSIS PADA PERAMALAN DATA INDEKS HARGA SAHAM GABUNGAN DI INDONESIA Andreas Reza Chrisantama; Winita Sulandari; Sugiyanto Sugiyanto
Pattimura Proceeding 2021: Prosiding KNM XX
Publisher : Pattimura University

Keinginan dari seseorang untuk memenuhi kebutuhan serta permintaan dalamaktivitasnya setiap hari akan semakin banyak, apalagi sekarang di dalam masa kehidupanpandemik ini banyak masyarakat yang ingin meningkatkan kembali ekonomi mereka. Makadari itu diperlukan penanda dari pergerakan pasar saham untuk mengukur kinerja seluruhsaham yang tercatat di papan utama, yang merupakan asal terciptanya dari Indeks HargaSaham Gabungan (IHSG). Peramalan indeks harga saham ini penting bagi masyarakat yangingin mengukur kinerja portofolio dari investasi mereka serta bagi negara yangmengandalkan IHSG dalam menunjukkan pertumbuhan ekonomi Indonesia. Tujuan daripenelitian ini adalah menerapkan metode autoSSA yang merupakan pembuatan grup barusecara otomatis pada data yang sudah direkonstruksi untuk melihat nilai prediksi yang akandatang dari indikator yang sudah diambil. Metode autoSSA dipilih karena teknik projektifsecara tradisional tidak dapat langsung diterapkan pada sinyal one-dimensional., yangmerupakan kasus time series. Indikator IHSG yang digunakan adalah data Indeks mingguanpada tahun 2018 hingga 2020. Tahap-tahap untuk melakukan prediksi dengan metode iniantara lain membuat serta memeriksa plot data deret waktu yang telah diambil, melakukantahap dekomposisi serta merekonstruksi kembali data time series yang baru, dan akandilakukan peramalan data time series dalam 50 minggu ke depan dari model data yang telahdidapatkan untuk melihat pergerakan IHSG ke depannya. Hasil prediksi yang didapatkandari metode ini menunjukkan adanya pergantian fluktuasi secara musiman (seasonal)dengan nilai tertinggi berada di minggu ke-29 dan nilai terendah berada di minggu ke-50.

PENERAPAN METODE ARIMAX PADA PERAMALAN PRODUKSI DAGING SAPI DI SUKOHARJO Fitrian Nur Ardyansyah; Winita Sulandari; Sugiyanto Sugiyanto
Pattimura Proceeding 2021: Prosiding KNM XX
Publisher : Pattimura University

Daging sapi merupakan salah satu sumber protein kaya akan zat gizi yang diperlukan oleh tubuh. Kebutuhan gizi dapat mempengaruhi jumlah permintaan daging sapidi masyarakat. Produksi daging sapi umumnya dipengaruhi momen atau peristiwa tertentu seperti Hari Raya Idul Adha yang erat kaitannya dengan pelaksanaan ibadah kurban.Penentuan Hari Raya Idul Adha tidak mengikuti kalender Masehi, tetapi berdasarkan kalender Hijriyah. Perbedaan penggunaan kalender Masehi dan Hijriyah pada suatu dataruntun waktu menyebabkan adanya efek variasi kalender. Pemodelan untuk data runtunwaktu yang mengandung variasi kalender dapat dilakukan dengan menggunakan metodeAutoregressive Integrated Moving Average Exogenous (ARIMAX). Data yang digunakan,dalam penelitian ini adalah data jumlah produksi daging sapi di Sukoharjo bulan Januari2007 sampai bulan Desember 2020. Data dibagi menjadi dua, yaitu data training sejumlah157 observasi dan data testing sejumlah 12 observasi. Variabel eksogen menggunakanvariabel dummy dua belas bulan, dummy bulan saat Hari Raya Idul Adha, dan dummy bulansetelah Hari Raya Idul Adha. Hasil analisis menunjukan model ARIMAX(1,0,1) merupakan model terbaik dengan nilai RMSE sebesar22053,11. Model ini dapat digunakan untuk memproyeksikan pola data produksi daging sapidi Sukoharjo.

PENINGKATAN KEMAMPUAN GURU PEMBINA KOMPETISI SAINS NASIONAL MATA PELAJARAN MATEMATIKA SMP DI KABUPATEN KARANGANYAR Etik Zukhronah; Winita Sulandari; Sugiyanto Sugiyanto; Isnandar Slamet; Sri Subanti; Irwan Susanto
J-ABDI: Jurnal Pengabdian kepada Masyarakat Vol. 2 No. 8: Januari 2023
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53625/jabdi.v2i8.4526

Dalam upaya meningkatkan kemampuan guru pembina kompetisi sains nasional, Dinas Pendidikan dan Kebuadayaan Kabupaten Karanganyar bekerjasama dengan tim pengabdi dari Program Studi Statistika FMIPA Universitas Sebelas Maret mengadakan bimbingan teknis materi KSN mata pelajaran Matematika pada guru-guru Pembina KSN mata pelajaran Matematika SMP di Kabupaten Karanganyar. Kegiatan bimbingan teknis yang dilaksanakan selama dua hari telah mampu meningkatkan kemampuan peserta hingga 33 %. Untuk hasil yang lebih optimal, kegiatan serupa perlu dilakukan secara rutin dan terstruktur.

PENINGKATAN JIWA WIRAUSAHA SANTRI MELALUI PELATIHAN PEMANFAATAN SAMPAH PLASTIK MENJADI PRODUK BERNILAI JUAL Etik Zukhronah; Winita Sulandari; Isnandar Slamet; Sri Subanti; Sugiyanto Sugiyanto; Irwan Susanto
J-ABDI: Jurnal Pengabdian kepada Masyarakat Vol. 2 No. 9: February 2023
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53625/jabdi.v2i9.4777

Lack of public understanding about the proper handling of plastic waste can damage the environment. Based on the results of a survey conducted on students at the Darul Muttaqin Islamic Boarding School, Sragen, it can be seen that the waste management in the boarding school has not been carried out properly. In general, waste is directly disposed of in a landfill, without prior sorting between organic and inorganic waste. In this case, the residents of the cottage have not tried to process waste, especially plastic waste into useful products. For this reason, the service team for the Statistics Study Program FMIPA UNS held a socialization and training on the use of plastic waste into ornamental flower products. The purpose of this activity is to equip students with skills, as well as to foster an entrepreneurial spirit by marketing products from plastic waste to the general public. In the end, the success of product marketing will provide its own advantages as an alternative source of income for the students. In the future, the activities carried out consistently and sustainably will not only provide good benefits for the students but also the preservation of the surrounding environment.

Interactive Digital Media Based on Our-Space Website in Geography Learning : ICT, Media Skills, and Learning Styles Dannis Ni'matussyahara; Sugiyanto Sugiyanto; Sarwono Sarwono
Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Vol 9, No 4 (2023): December
Publisher : Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jk.v9i4.9198

This study aims to identify the availability of IT facilities and teacher characteristics towards the application of interactive digital multimedia, identification of media needs for students, and student learning styles in learning. This research was conducted at an alliance of geography teacher groups and two excellent schools in Surakarta City and Karanganyar Regency. The method used was descriptive qualitative with respondents consisting of 17 geography teachers of Surakarta City and 16 geography teachers of Karanganyar Regency, 34 students of grade XI of Surakarta 3 public high school, and 35 students of grade XI of Karanganyar 1 public high school. The data collection technique was carried out using observation techniques and questionnaires. The data analysis technique uses the Interactive Analysis Model, while the questionnaire analysis uses percentages. The results showed that: 1) teachers' experience in making IT-based media innovation and applying it in the classroom as much as 64.71% of geography teachers in Surakarta City and 81.25% of geography teachers in Karangayar Regency responded that they had never done it; 2) The need for digital-based multimedia as much as 94.12% of grade XI students in public high school 3 Surakarta and 100% of grade XI students in public high school 1 Karanganyar were interested in learning geography using integrative websites; 3) The average learning style characteristics of ninth-grade students in public high school 3 Surakarta and public high school 1 Karanganyar were 73% and 66% had a visual learning style. Based on the study's results, it was known that the low ICT skills of geography teachers could result in students' digital learning multimedia needs not being appropriately met, so integrative multimedia innovations such as the Our Space website are needed that can be tailored to student learning needs.

Combined Model of Markov Switching and Asymmetry of Generalized Seasonal Autoregressive Moving Average Conditional Heteroscedasticity for Early Detection of Financial Crisis in Hong Kong Sugiyanto Sugiyanto; Sri Subanti; Isnandar Slamet; Etik Zukhronah; Irwan Susanto; Winita Sulandari; Nabila Churin Aprilia
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol. 10 No. 2 (2024)
Publisher : LPPM Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24775401.ijcsam.v10i2.4541

The financial crisis in Hong Kong occurred in 1997 and 2008. To prevent a crisis or reduce the impact of a crisis, action is needed through early detection of the crisis using export indicator. The combination of Markov Switching and Asymmetric Generalized Seasonal Autoregressive Moving Average Conditional Heteroscedasticity (MS-AGSARMACH) models explains the crisis well. The results show that the MSAGSARMACH(2,1,1) model can explain past and future crises well.

Forecasting of Indonesian Crude Prices using ARIMA and Hybrid TSR-ARIMA Etik Zukhronah; Winita Sulandari; Sri Subanti; Isnandar Slamet; Sugiyanto Sugiyanto; Irwan Susanto
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol. 10 No. 2 (2024)
Publisher : LPPM Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24775401.ijcsam.v10i2.4563

Forecasting of Indonesian crude prices (ICP) is crucial for the government and policymakers. It helps them develop appropriate economic policies, budget allocations, and energy strategies. Forecasting methods that can be used are Time Series Regression (TSR) and Autoregressive Integrated Moving Average (ARIMA). This study aims to forecast ICP using ARIMA and hybrid TSR-ARIMA models. The data used in this study is the ICP per month, from January 2017 to November 2022. The data is divided into two groups, the data from January 2017 to December 2020 is used as training data, and the data from January 2021 to November 2022 is used as testing data. The MAPE values for the testing data of the TSR-ARIMA(2,1,0) and ARIMA(2,1,0) models are 8.24% and 17.37% respectively. Based on this, it can be concluded that the TSR-ARIMA(2,1,0) model is better than the ARIMA(2,1,0) model for forecasting ICP.

Co-Authors Andreas Reza Chrisantama Dannis Ni'matussyahara Fitrian Nur Ardyansyah Handajani, Sri Sulistijowati Hanik Liskustyawati, Hanik Husna Afanyn Khoirunissa Irwan Susanto Isnandar Slamet Nabila Churin Aprilia Nindya Eka Apsari Nur Styasih Sarwono Sarwono Slamet Riyadi Sri Subanti Winita Sulandari Zukhronah, Etik

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