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All Journal Jurnal Pendidikan dan Pembelajaran Khatulistiwa (JPPK) Jurnal Penelitian Pendidikan IPA (JPPIPA) Humanism : Jurnal Pengabdian Masyarakat Jurnal Ilmiah Mahasiswa Manajemen, Bisnis dan Akuntansi JAMBIS : Jurnal Administrasi Bisnis
Riyanto, Ahmad
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Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Physics Public Health Social Sciences Other

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MENINGKATKAN HASIL BELAJAR LOMPAT JAUH GAYA MENGGANTUNG MELALUI MEDIA KARET GELANG PADA SISWA SD Riyanto, Ahmad; Simanjuntak, Victor; Haetami, Mimi
Jurnal Pendidikan dan Pembelajaran Khatulistiwa Vol 7, No 1 (2018): Januari (2018)
Publisher : Jurnal Pendidikan dan Pembelajaran Khatulistiwa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (446.289 KB)

Abstract

Abstract: A common problem in this research is how long jump effort to improve skills hang style by using teaching aids in the form of a rubber band. The research objective was to determine the improvement of learning outcomes in the long jump leap through the medium of a rubber band on the students.The method used in this research is descriptive method with the application of classroom action research is conducted through two cycles to see and improve learning outcomes long jump style by using the media to hang a rubber band. The subjects with a total of 27 students.Value - average ratings in the first cycle was 67.96, with 74% of students with values ≥65 and 26% of students with values <65. In the second cycle the average - average assessment of students is 74.07, with 100%students with values ≥65 and 0% of students with values <65. Keywords: long jump, rubber bands, hangingstyle.
Perbandingan Tingkat Akurasi Metode Analisis Teknikal Moving Average Convergence Divergence, Moving Average, Relative Strength Index  Saham Infobank15 Riyanto, Ahmad; Astuti, Susi
Jurnal Ilmiah Mahasiswa Manajemen, Bisnis dan Akuntansi (JIMMBA) Vol. 6 No. 2 (2024): JIMMBA
Publisher : LP3M Universitas Putra Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32639/t5ncer72

Abstract

Tujuan dari penelitian ini adalah untuk membandingkan tingkat akurasi alat analisis untuk membuat keputusan beli dan jual. Studi ini menggunakan indikator analisis teknis, khususnya tiga indikator: Simple Moving Average, Relative Strength Index, dan Moving Average. Penelitian ini berfokus pada saham-saham yang secara konsisten terdaftar dalam indeks Infobank15 dari tahun 2019 hingga 2022. Temuan penelitian ini mengungkapkan bahwa indikator Moving Average Convergence Divergence (MACD) mengungguli metode Moving Average dan Relative Strength Index. MACD memberikan lebih sedikit sinyal palsu, dengan akurasi rata-rata 65%. Moving Average dan Relative Strength Index mencapai akurasi masing-masing 64% dan 54%. Khususnya, indikator Moving Average berkinerja sangat baik untuk satu saham, BTPS, dengan tingkat akurasi mencapai 75%. Namun, Relative Strength Index kurang dari ambang batas 75% untuk kinerja yang kuat.
Optimizing Chronic Kidney Disease Diagnosis Using the C4.5 Algorithm and Missing Value Imputation Strategies Riyanto, Ahmad; Purwanto, Purwanto; Al Zami, Farrikh; Andreuw Meda, Ridodio
Jurnal Penelitian Pendidikan IPA Vol 11 No 9 (2025): September
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i9.12456

Abstract

The occurrence of missing values in data mining is a significant challenge that can hinder the knowledge extraction process. Incomplete data not only reduces efficiency in data management and analysis, but also has the potential to bias decision-making. This study aims to improve the performance of the C4.5 algorithm in dealing with missing value problems through the application of imputation techniques and GridSearchCV optimization. In this study, we propose an approach to handling missing values by combining several imputation methods, including minimum, maximum, mean-mode, median, and k-Nearest Neighbors (k-NN). These methods are applied to the Chronic Kidney Disease dataset obtained from the UCI Repository. After the imputation process, we performed hyperparameter optimization using GridSearchCV to find the best parameter combination for the C4.5 algorithm. Experimental results show that the application of imputation techniques and GridSearchCV optimization significantly improves the classification accuracy of the C4.5 algorithm. The comparison results show that the application of missing value handling, combined with GridSearchCV optimization, successfully improves the accuracy of the model by 2.25% compared to without using missing values. This proves that handling missing values along with proper GridSearchCV optimization can improve the prediction quality of the model.
Edukasi Kesehatan Tentang Rokok Elektrik dan Dampaknya Terhadap Kesehatan Remaja Di Kampung Jogokariyan Kota Yogyakarta Trisnowati, Heni; Purwati; Ismiyati, Rini; Riyanto, Ahmad; Ambarsari, Lusiana
Humanism : Jurnal Pengabdian Masyarakat Vol 6 No 1 (2025): April
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/hm.v6i1.25925

Abstract

Penggunaan rokok elektrik (vape)  meningkat di kalangan remaja. Vape dipandang sebagai alternatif yang modern dan "aman" dibandingkan rokok konvensional. Hal ini menjadi perhatian karena remaja adalah kelompok yang rentan terhadap pengaruh perilaku tidak sehat. Kurangnya pemahaman dan pengetahuan tentang rokok elektrik baik dampak kesehatan fisik maupun psikologis menyebabkan remaja cenderung mencoba dan memakai rokok elektrik. Tujuan pengabdian untuk memberikan informasi yang akurat seputar rokok elektrik dan dampaknya terhadap kesehatan  sehingga dapat  meningkatkan kesadaran dan pemahaman serta mengurangi penggunaan rokok elektrik pada remaja sekitar masjid Jogokaryan. Metode yang digunakan  edukasi interaktif. Untuk mengukur pemahaman peserta dilakukan pre-test dan post test. Hasil Peserta berjumlah 22 peserta, terdiri dari 13 laki-laki (59,1%) dan 9 perempuan (40,9%), dengan mayoritas berusia 15–20 tahun (90,91%). Analisis deskriptif didapatkan nilai Mean hasil pre-test sebesar 79,091 sedangkan Mean hasil post-test sebesar 90,090. Dari uji statistk Wilcoxon signed-rank test nilai p-value  < 0,001 atau <  nilai alpha (0,05) artinya ada perbedaan signifikan antara hasil pre-test dan pos-test sehingga disimpulkan bahwa edukasi kesehatan berhasil meningkatkan pengetahuan remaja. Edukasi  dengan tema ‘Rokok Elektrik dan Dampaknya terhadap Kesehatan Remaja di Kampung Jogokaryan Kota Yogyakarta’’ sangat relevan karena pengguna rokok elektrik saat ini meningkat di kalangan remaja sehingga dengan pemahaman yang akurat dan benar diharapkan menimbulkan kesadaran kaum remaja untuk berhenti merokok.  Edukasi yang dilaksanakan di masjid Jogokariyan sangat tepat mengingat  saat ini masjid Jogokaryan merupakan pusat kegiatan keagamaan dan sosial yang menjadi rujukan nasional sehingga diharapkan dengan keberhasilan program ini dapat diterapkan sampai ke daerah lain dengan permasalahan sama. Kata kunci: edukasi kesehatan; promosi kesehatan;pencegahan; rokok elektrik; remaja  
Pengaruh Kepercayaan dan Promosi Terhadap Keputusan Pembelian Konsumen Pada MarketPlace Lazada Di Cikarang Selatan Riyanto, Ahmad; Syahrial Yusuf, Muhammad
JAMBIS : Jurnal Administrasi Bisnis Vol. 4 No. 3: Juni 2024
Publisher : JAMBIS : Jurnal Administrasi Bisnis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31334/jambis.v4i3.4085

Abstract

This research aims to find out and analyze how much the influence of Trust and Promotion have on Purchasing Decisions at the Lazada MarketPlace in South Cikarang. This research method uses a quantitative approach were consumers who had used the Lazada MarketPlace in South Cikarang 1 and 2 times, or more and there were 135 respondents. The sampling technique for this recearch used Accidental Sampling. Data analysis in this study used multiple linear regression. This research shows that Trust (X1) partially has a positive and sinificant effect on Consumer purchasing Decisions (Y) at the Lazada MarketPlace in South Cikarang by 28.0%. Promotion (X2) partially has a positive and significant effect on consumer Purchasing Decisions (Y) at the Lazada MarketPlace in South Cikarang by 36.5%, and jointly Trust (X1) and Promotion (X2) have a positive and significant effect on Purchasing Decisions (Y) Consumers at the Lazada MarketPlace in South Cikarang were 41.9%, while the remaining 58.1% were influenced by other variables not examined in this research. The results of this research are that trust and promotion have a significant effect on purchasing decisions, both partially and simultaneously
Optimizing Stacked KNN, Naive Bayes, and LDA Models Using Random Forest as a Meta-Learner for Diabetes Classification Meda, Ridodio Andreuw; Purwanto, Purwanto; Zami, Farrikh Al; Riyanto, Ahmad
Jurnal Penelitian Pendidikan IPA Vol 11 No 10 (2025): October
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i10.12546

Abstract

Diabetes is one of the chronic diseases with a high mortality rate that requires proper treatment and early detection. This study proposes a stacking model approach with a combination of K-Nearest Neighbor (KNN), Naive Bayes, and Linear Discriminant Analysis (LDA) as the base-learner, and Random Forest as the meta-learner. The main objective of this study is to improve the classification accuracy of diabetes datasets that have an unbalanced class distribution. The experiment was conducted on the Pima Indians Diabetes dataset from the UCI Machine Learning Repository. The test results showed that the proposed stacking model was able to achieve an accuracy of 96.30%, True Positive Rate (TPR) of 88.89%, True Negative Rate (TNR) of 100%, and G-Mean of 94.28%. This performance is significantly better than the previous single classifier model and stacking approach. Thus, the proposed stacking model can be used as an effective solution in the classification of diabetic diseases under conditions of unbalanced class distribution.
Co-Authors Al zami, Farrikh Ambarsari, Lusiana Andreuw Meda, Ridodio Ismiyati, Rini Meda, Ridodio Andreuw Purwanto Purwanto Purwati Susi Astuti Syahrial Yusuf, Muhammad Victor Simanjuntak Zami, Farrikh Al