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All Journal Pythagoras: Jurnal Matematika dan Pendidikan Matematika Palapa: Jurnal Study Keislaman dan Ilmu Pendidikan BAREKENG: Jurnal Ilmu Matematika dan Terapan AS-SABIQUN: Jurnal Pendidikan Islam Anak Usia Dini Nusantara Science and Technology Proceedings Journal of Applied Data Sciences SINTA Journal (Science, Technology, and Agricultural) Journal of Informatics Management and Information Technology Sungkai Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) Prosiding University Research Colloquium MASALIQ: Jurnal Pendidikan dan Sains Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya Proceeding of International Conference on Humanity Education and Society Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK)
Yuliana Susanti, Yuliana
Program Studi Agroteknologi
Religion Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture 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 Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Social Sciences Transportation Veterinary Other

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PERAMALAN HARGA SAHAM PT UNILEVER INDONESIA MENGGUNAKAN METODE HIBRIDA ARIMA-NEURAL NETWORK Setiawan, Crisma Devika; Sulandari, Winita; Susanti, Yuliana
Semnas Ristek (Seminar Nasional Riset dan Inovasi Teknologi) Vol 7, No 1 (2023): SEMNAS RISTEK 2023
Publisher : Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/semnasristek.v7i1.6270

Abstract

Saham merupakan salah satu instrumen investasi yang diminati oleh banyak investor dan memiliki tingkat keuntungan yang menarik. Saham dari PT Unilever merupakan salah satu saham yang aktif diperjual belikan dalam BEI dan tergabung dalam LQ45. Kinerja perusahaan ditunjukkan melalui harga saham dari perusahaan tersebut dan para investor perlu memprediksi harga sebuah saham untuk mengurangi resiko kerugian. Harga saham yang selalu berfluktuasi memungkinkan data historisnya memiliki hubungan linier dan nonlinier. Penelitian ini menggunakan metode hibrida ARIMA – Neural Network untuk memprediksi harga saham PT Unilever periode Januari hingga Desember 2019, karena metode ini digunakan untuk memprediksi runtun waktu yang linier maupun non linier. Hasil akhir penelitian ini menunjukkan bahwa model ARIMA terbaik adalah ARIMA (3,1,2) dengan nilai MAPE data latih 1.04% dan data uji 0.86%, sedangkan model hibrida terbaik adalah ARIMA (3,1,2) – NN (4,9,1) dengan nilai MAPE data latih dan data uji berturut adalah 1,03% dan 0,82%. Model hibrida memiliki nilai MAPE lebih kecil dibandingkan model ARIMA, tetapi tidak memberikan perbedaan hasil peramalan yang signifikan. Meskipun demikian model hibrida dapat menambah tingkat keakuratan peramalan pada harga saham unilever.
Uji Kompatibilitas Bakteri Endofit Asal Tanaman Eucalyptus pellita dan Fungi Mikoriza Arbuskular (FMA) Susanti, Yuliana
SINTA Journal (Science, Technology, and Agricultural) Vol. 3 No. 2 (2022)
Publisher : Perkumpulan Dosen Muda (PDM) Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37638/sinta.3.2.111-120

Abstract

Penyakit layu bakteri (PLB) yang disebabkan oleh Ralstonia solanacearum telah menjadi masalah besar dalam silvikultur eukaliptus pada hutan tanaman industri (HTI). Penyakit ini membatasi produktivitas tanaman eukaliptus. Upaya-upaya pengendalian telah dilakukan, salah satunya adalah penggunaan bakteri endofit. Aplikasi bakteri endofit secara tunggal menunjukkan hasil yang belum memuaskan. Kombinasi bakteri endofit dan fungi mikoriza arbuskular (FMA) merupakan alternatif pengendalian penyakit layu bakteri pada tanaman eukaliptus yang belum dilaporkan. Penelitian ini bertujuan untuk memperoleh kombinasi bakteri endofit dan FMA yang kompatibel pada tanaman Eucalyptus pellita. Metode penelitian meliputi penyiapan bakteri endofit, penyediaan dan perbanyakan FMA, serta penyediaan bibit E. pellita. Hasil penelitian diperoleh kombinasi bakteri endofit dan FMA yang kompatibel. Interaksi kedua mikrob dapat meningkatkan pertumbuhan bibit tanaman E. pellita.
UJI ANTAGONISME CENDAWAN Trichoderma sp TERHADAP Ganoderma Boninense (PATOGEN PADA TANAMAN KELAPA SAWIT) SECARA IN VITRO Putra, Sona Syah; Susanti, Yuliana; Alfiah, Lufita Nur
SINTA Journal (Science, Technology, and Agricultural) Vol. 5 No. 1 (2024)
Publisher : Perkumpulan Dosen Muda (PDM) Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37638/sinta.5.1.125-134

Abstract

Stem Root Rot (BPB) is a disease caused by the fungus Ganoderma Boninense. BPB results in low production of oil palm plants. Biological control using the fungus Trichoderma sp is an alternative that is currently being widely researched to control plant diseases. This research aims to determine the potential inhibitory ability of Trichoderma sp on the growth of G. Boninense in vitro. The research method used was double culture with isolates of Trichoderma Asperellum (T1), Trichoderma Asperellum (T2), Trichoderma Harzianum (T3) against G. Boninense. The research results showed that Trichoderma Asperellum (T1) had an inhibitory power of 72.3%, Trichoderma Harzianum (T3) had an inhibitory power of 72.2% and Trichoderma Asperellum (T2) had the highest antagonistic power reaching 92.5%. the three isolates of antagonistic fungi can inhibit the fungus G. Boninense
Robust Regression Generalized Scale (GS) Estimation On Profit Data Of Poultry Farm Companies Callisa, Safira; Susanti, Yuliana; Susanto, Irwan
Prosiding University Research Colloquium Proceeding of The 15th University Research Colloquium 2022: Bidang MIPA dan Kesehatan
Publisher : Konsorsium Lembaga Penelitian dan Pengabdian kepada Masyarakat Perguruan Tinggi Muhammadiyah 'Aisyiyah (PTMA) Koordinator Wilayah Jawa Tengah - DIY

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Poultry farming is the business of cultivating poultry such as breeding chickens, laying hens, and broilers to obtain meat and eggs. Robust regression is a regression method that is used when some outlier data affect the model so that the distribution of the error is not normal. Estimates on robust regression that can overcome outliers such as Generalized Scale (GS) estimation, GS estimation is seen as an extension of S estimation. GS estimation is a solution for minimizing M estimation with paired scale error. This estimate is applied to poultry data companies in 2020 as an indicator to determine the robust regression model. It is concluded that the factors that affect the total profit of poultry farming companies in Indonesia in 2020 are wages for workers and electricity and water.
Parameter Estimation Robust Regression Method of Moment (MM) in Cases of Maternal Death in Indonesia Pramesti, Putri Ayu; Susanti, Yuliana; Pratiwi, Hasih
Prosiding University Research Colloquium Proceeding of The 15th University Research Colloquium 2022: Bidang MIPA dan Kesehatan
Publisher : Konsorsium Lembaga Penelitian dan Pengabdian kepada Masyarakat Perguruan Tinggi Muhammadiyah 'Aisyiyah (PTMA) Koordinator Wilayah Jawa Tengah - DIY

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Regression analysis is used to determine the relationship between the dependent and independent variables with a parameter estimator. The parameter estimator that is usually used is the Least Squares Method (LSM), this requires a classical assumption test. Some cases have normality assumptions that are unfulfilled because there are outliers so the result regression parameter estimates are not accurate so that robust regression is used in the analysis. Robust regression is a regression analysis method that can withstand outliers. The purpose of this study is the application of robust regression estimation Method of Moment (MM) with Tukey Bisquare weighting in the case of data on the number of maternal deaths in Indonesia 2020 with the number of maternal deaths as a dependent variable, and with independent variables such as the number of pregnant women who experience bleeding, the number of diabetics in pregnancy, and the number of HIV positive in pregnancy. The result showed that every one unit increase of three independent variables had a positive effect on the number of cases of maternal deaths, each of which was 2,8064; 2,5014; 1,1577.
Co-Authors Aristiarto, Rio Arnandya, Evelyn Regita Astuti, Arinda Tri Brilianto, Maximilianus Noel Callisa, Safira Edward Bahar Elwi Handajani, Sri Sulistijowati Hilyatul Hilwy, Sarah Irwan Susanto Irwan Susanto Isnandar Slamet, Isnandar Kusuma, Erin Jihan Wahyu Lufita Nur Alfiah Mahmudah, Arik Manalu, Anggiat Muhammad Bayu Nirwana Nareswari, Lintang Pramesti Nugrahani , Isnaini Dyah Nurfauziyyah, Nuha pratiwi, hasih Putra, Sona Syah Putri Ayu Pramesti, Putri Ayu Qona’ah, Niswatul Raditya, Dionisius Indra Ratri, Aninda Puspa Respatiwulan, Respatiwulan Rina Febrinova, Rina Setiawan, Crisma Devika Sri Subanti Sucipto, Christy Sheldy Sugiyanto - Susilotomoa, Dhestahendra Citra Triyazulfa, Azkiya Winita Sulandari Zukhronah, Etik