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All Journal EKSAKTA: Journal of Sciences and Data Analysis AJIE (Asian Journal of Innovation and Entrepreneurship) Unisda Journal of Mathematics and Computer Science (UJMC) PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Indonesian Journal of Electrical Engineering and Computer Science Enthusiastic : International Journal of Applied Statistics and Data Science Khazanah: Jurnal Mahasiswa
Rahmadi Yotenka
Universitas Islam Indonesia
Religion Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences

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The Implementation Of Apriori Algorithm And Chi-Square Test In Determining Pattern Of Relationship Among The Rawi Hadis Rahmadi Yotenka
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 17, ISSUE 1, February 2017
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/eksakta.vol17.iss1.art3

Abstract

In this research apriori algorithm was implemented on rawi data of hadits to find out pattern of relationship among the rawi hadits in shahih bukhori book. The analogy that can be compared is by assuming that series or chain of rawi in every sanad of hadis may be regarded as transaction, while rawi hadis were items in transaction. Data mining is the method that was used to analyze with association rule technique. Association rule technique is used to find a pattern rule between a combination of items. To find out association rule by using association rule application, it is used apriori algorithm by observing three important measurement, namely support, confidence, and lift values. The analysis result of apriori algorithm showed that for minimum support 0.03 and minimum confidence 0.9 having 9 strong association pattern based on the sequence of rawi hadis of its sanad. Every rule of association which was strong, then tested by chi-square to prove that the rawis that were in the rule were truly connected or statisticly significance
KKN-PPM PENGEMBANGAN AGROWISATA DESA SIDOREJO, KECAMATAN KEMALANG, KABUPATEN KLATEN Muhammad Muhajir; Rahmadi Yotenka
Asian Journal of Innovation and Entrepreneurship Volume 03, Issue 03, September 2018
Publisher : UII

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

Abstract

Agrowisata adalah aktivitas wisata yang melibatkan penggunaan lahan pertanian atau fasilitas terkait (seperti silo dan kandang) yang menjadi daya tarik bagi wisatawan. Agrowisata memiliki beragam variasi, seperti labirin jagung, wisata petik buah, memberi makan hewan ternak, hingga restoran di atas laut. Agrowisata merupakan salah satu potensi dalam pengembangan industri wisata di seluruh dunia. Di Indonesia sendiri, agrowisata sering dikembangkan oleh daerah-daerah atau desa-desa yang terletak di kawasan lereng gunung atau perbukitan. Lahan yang subur sangat memudahkan pengembangan lahan pertanian dan peternakan yang secara langsung juga memudahkan pengembangan peternakan.Potensi agrowisata ini terdapat juga di desa-desa yang berada di lereng dan kaki Gunung Berapi, salah satunya adalah Desa Sidorejo. Sebagaimana wilayah-wilayah di lereng Gunung Merapi, desa ini memiliki lahan yang sangat subur dengan dataran yang miring dan cukup curam. Sehingga, desa ini memiliki potensi yang besar untuk menjadi salah satu desa agrowisata menarik yang berfokus pada tanaman perkebunan. Desa ini sendiri merupakan bagian dari wilayah Kabupaten Klaten. Dengan posisi strategis Kabupaten Klaten yang berada di antara dua kota besar, yaitu Solo dan Yogyakarta, Desa Sidorejo bisa menjadi salah satu desa unggulan dengan agrosiwatanya. Kehadiran mahasiswa KKN UII bertujuan untuk melakukan pendampingan dan penyusunan konsep agrowisata yang ada di Desa Sidorejo agar mampu menjadi salah satu tujuan wisata utama di Kabupaten Klaten.Potensi-potensi yang bisa dikembangkan menjadi agrowisata di Desa Sidorejo antara lain Kopi Petruk, peternakan sapi dan sayur-mayur. Kopi Petruk sendiri merupakan kopi arabika yang pemasarannya sudah diekspor hingga Jepang. Namun sejauh ini, Kopi Petruk belum dikembangkan menjadi agrowisata. Kopi Petruk hanya dijadikan komoditas perdagangan. Sama halnya dengan peternakan sapi. Sapi perah dan sapi potong yang ada di desa ini sejauh ini hanya dijadikan sebatas sebagai komoditas perdagangan produk susu dan daging konsumsi. Sementara untuk sayur-mayur sudah dimanfaatkan menjadi produk bermanfaat dan dikembangkan menjadi berbagai olahan makanan.Dari paparan di atas, perkembangan potensi agrowisata di Desa Sidorejo sejauh ini hanya dijadikan sebatas komoditi perdagangan. Penyusunan konsep agrowisata yang jelas akan sangat memudahkan pengembangan agrowisata di desa ini. Oleh karenanya, dibutuhkan suatu konsep utama baik konsep potensi agrowisata itu sendiri ataupun struktur organisasi masyarakat yang nantinya akan mengelolanya. Konsep yang tertata dan saling bersinergi akan sangat memudahkan pengelolaannya. Lebih lanjut, dengan adanya sebuah konsep besar, pengembangan agrowisata di desa ini pada tahun-tahun selanjutnya akan memiliki arah yang lebih jelas dan terprogram dengan baik. 
Pendampingan Manajemen Tatakelola Gula Jawa Jahe Familo Dukuh Ragayudan RT 02 RW 02 Desa Bocor Kecamatan Bulus Pesantren Kebumen Jawa Tengah Rahmadi Yotenka; Muhaimin Muhaimin; Muhammad Muhajir
PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Vol 5 No 3 (2020): PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (414.774 KB) | DOI: 10.33084/pengabdianmu.v5i3.1176

Abstract

This community service aims to improve the management and governance of the home industry of Familo's Ginger Javanese Sugar through training and mentoring marketing management with e-commerce systems. The program of community service activities is carried out through several stages, namely the preparatory stage, the implementation stage, and the evaluation stage. The results achieved through this activity are participants be able to market their products by e-commerce system optimally.
Implementasi Long Short-Term Memory Pada Harga Saham Perusahaan Perkebunan Di Indonesia Rahmadi Yotenka; Fazano Fikri El Huda
Unisda Journal of Mathematics and Computer Science (UJMC) Vol 6 No 01 (2020): Unisda Journal of Mathematics and Computer science
Publisher : Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v6i01.1927

Abstract

The decline and increase in the price of shares of plantation companies is a problem for investors in making decisions to buy or sell shares. Factors influencing the movement of plantation stock prices include CPO commodity price fluctuations, world oil price fluctuations, Rupiah exchange rate fluctuations, government regulations and policies, demands from importing countries, and climate. Forecasting stock prices is expected to help investors to deal with uncertainty in the movement of plantation stock prices. This study applies the Long Short-Term Memory (LSTM) to predict the stock prices of plantation companies using SSMS, LSIP, and SIMP share price data from the period 1 July 2014 - 22 July 2019. Based on the results of the study it was found that the best LSTM model on SSMS shares by using the RMSProp optimizer and 70 hidden neurons produced an RMSE value of 21,328. Then the best LSTM model on LSIP stock by using Adam optimizer and 80 hidden neurons produces an RMSE value of 33,097. Whereas the best LSTM model on SIMP shares using Adamax optimizer and 100 hidden neurons produced an RMSE value of 8,3337.
Faktor-Faktor Yang Mempengaruhi Nilai Konstruksi Di Indonesia Dengan Regresi Poisson dan Regresi Binomial Negatif Juan Sheptiadi Efendi; Rahmadi Yotenka
Unisda Journal of Mathematics and Computer Science (UJMC) Vol 7 No 1 (2021): Unisda Journal of Mathematics and Computer science
Publisher : Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v7i1.2451

Abstract

Abstract. The construction sector is one of the drivers of national economic growth, contributing 10.6% to the National GDP. The capitalization value of the construction sector continues to increase from year to year due to an increase in the industrial sector in the private sector and infrastructure acceleration programs launched by the government in several provinces. However, this has led to a lack of equitable distribution of infrastructure development in several other provinces. To help the government carry out equitable infrastructure development, which can then help the national economy, an analysis is needed to find out what factors affect the construction value of each province in Indonesia. The relationship between the value of the construction and the factors that influence it can be determined by regression analysis. The regression analysis method used in this study is Poisson regression and negative binomial regression. Negative binomial regression is performed specifically to overcome overdispersion in Poisson regression. After the analysis, the results of the factors that have a statistical influence on the value of construction in Indonesia (NK) are the number of workers in each province (JTK) and the number of construction companies in each province (JP) with a pseudo R2 value of 0.978 or 97.8%.
Spasial Data Panel Dalam Menentukan Faktor-Faktor Yang Berpengaruh Terhadap Jumlah Kasus Demam Berdarah Dengue (DBD) Anisa Nabila; Rahmadi Yotenka
Unisda Journal of Mathematics and Computer Science (UJMC) Vol 7 No 2 (2021): Unisda Journal of Mathematics and Computer science
Publisher : Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v7i2.2845

Abstract

Dengue Fever (DF) is an infection caused by the dengue virus, which several types of mosquitoes can spread. Indonesia has become a dengue-endemic area since 1968 and has spread in 34 provinces with 416 districts and 98 cities. In 2015 there were 126,675 cases of dengue fever in Indonesia, an increase in 2016 to 200,830 cases; the following year, it decreased to 59,047 cases. Then the cases have fluctuated every year. This study aims to look at the factors that influence dengue cases in Indonesia, especially on the islands of Java and Bali. This is because during the last five years (2015 – 2019) the highest dengue cases in Java & Bali were in Indonesia. The method used in this research is spatial analysis of panel data with the best model of SAR (spatial autoregressive models). The results of this study are the percentage of districts/cities that implement policies for healthy areas, the percentage of poor people, and health facilities have a significant effect on the number of dengue cases in Java & Bali.
Orchid conservation development at Mudal River by using remote sensing Baritoadi Buldan Rayaganda Rito; Muhammad Muhajir; Rahmadi Yotenka; Novendri Isra Asriny; R.A. Nurul F.A. Asnawi
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 2: May 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i2.pp1009-1017

Abstract

Daerah Istimewa Yogyakarta (DIY) is a district in Yogyakarta that contains various tourist attractions (ODTW) such as the Mudal River, attracting many local and international visitors each year. However, this region must be developed by identifying the best conservation position. Technology is required to explore the geographical aspects in establishing ecotourism in order to complete this process. This study sought to determine the most appropriate new development for the Mudal River, taking into account environmental variables, site area, orchid growing demands, ease of access, and commercialization. This is accomplished by employing a remote sensing technique based on the overlay technique. As a consequence of the investigation, three sites have been identified as the most plausible candidates. The analysis identified three areas that are most likely to be used as conservation sites: an orchid cultivation house, an orchid garden area that may be used as a photo location, and an orchid education garden.
Clustering of PDQ Participant Student in Faculty of Mathematics and Natural Sciences UII using the ROCK Method Rahmadi Yotenka; sekti kartika dini
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 3, ISSUE 2, August 2022
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/EKSAKTA.vol3.iss2.art7

Abstract

The Qur’anic Self-Development (PDQ)-Ta'lim Program is one of the student activities that must be followed by diploma and bachelor program students in Universitas Islam Indonesia (UII). The implementation of PDQ is coordinated by each faculty which is carried out for 4 semesters with 12 meetings for each semester. After carrying out PDQ activities, it is necessary to know the student profiles that can be used as the basis for policy making in the implementation of PDQ activities in the next period. In order to find out the profile of students after participating in PDQ activities, it is necessary to group these students based on related variables. This study uses the ROCK method to group students participating in the PDQ Faculty of Mathematics and Natural Sciences (FMIPA) UII batch 2020. The ROCK method is a robust agglomerative hierarchical-clustering algorithm based on the notion of links. The ROCK method is a suitable clustering method for grouping data with categorical variables. Based on the results of the analysis of the ROCK method of student data for the batch 2020 FMIPA UII, obtained three optimum clusters (k=3) at a threshold value of θ of 0.20. Threshold 0.20 has the smallest SW/SB ratio value of 0.0514 or 5.14% and the largest R-squared value is 61.76% compared to other thresholds.
ARIMA APLIKASI METODE BOX-JENKINS (ARIMA) UNTUK MERAMALKAN HARGA KOMODITAS CABAI MERAH Dian Widya Lestari Dian; Rahmadi Yotenka
Khazanah: Jurnal Mahasiswa Vol. 14 No. 1 (2022): Khazanah: Jurnal Mahasiswa
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/khazanah.vol14.iss1.art4

Abstract

Cabai merah merupakan salah satu komoditas strategis di Indonesia dan termasuk komoditas terbesar berdasarkan jumlah produksinya. Tanaman cabai merah memiliki masa panen lebih dari satu kali. Cabai merah di Indonesia terbilang tinggi dari segi kebutuhannya dan produksinya bersifat musiman sehingga membuat harga cabai merah fluktuatif. Analisis ARIMA salah satu metode yang cocok digunakan untuk peramalan data time series karena menggunakan nilai masa lalu dan sekarang untuk variabel dependen. Tujuan dari penelitian untuk memperoleh prediksi harga cabai merah untuk 12 periode mendatang. Data berupa harga konsumen cabai merah di Indonesia dari Januari 2017 sampai Desember 2021. Berdasarkan analisis diperoleh model terbaik untuk peramalan harga cabai merah yaitu ARIMA (2,0,0). Hasil peramalan untuk Januari hingga Desember 2022 menunjukkan harga konsumen cabai merah mengalami kenaikan namun cenderung stabil berada dalam range harga yang sama. Kata kunci: Harga Konsumen, Cabai Merah, ARIMA.
MSME Sales Clustering Based on Business Aid Distribution Priority Using K-Affinity Propagation Tarisya Qurrota A'yuni; Baiq Nina Febriati; Lazuardy Ilham Effendie; Muhammad Muhajir; Rahmadi Yotenka
Enthusiastic : International Journal of Applied Statistics and Data Science Volume 3 Issue 1, April 2023
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/enthusiastic.vol3.iss1.art10

Abstract

In rural areas of Indonesia, micro, small, and medium enterprises (MSMEs) are often isolated; however, they have been proven to play an important role as the economic backbone of millions of communities. In fact, the sluggish development of MSMEs in Indonesia become a severe problem for the community welfare. The government continues to strive for the welfare of the local communities, one of which is by supporting the existing MSMEs. However, the provision of government assistance may not be optimal for the incorrect target of the MSMEs. This study informs the government and other related parties regarding subdistrict groups whose MSMEs are considered to be their target. The k-affinity propagation method was used to find a set of representative examples, called exemplars, that best summarize the data. The result shows that sub-districts clusters based on general welfare in five commodities. K-affinity propagation algorithm clusters vary by commodity. Data fluctuation from each commodity’s three factors causes this. From this research, it can be determined which subdistricts have the most or least prosperous MSMEs in each of the five commodities analyzed.
Co-Authors Anisa Nabila Baiq Nina Febriati Baritoadi Buldan Rayaganda Rito Dian Widya Lestari Dian Fazano Fikri El Huda Juan Sheptiadi Efendi Lazuardy Ilham Effendie Muhaimin Muhaimin Muhammad Muhajir Muhammad Muhajir Muhammad Muhajir, Muhammad Novendri Isra Asriny R.A. Nurul F.A. Asnawi Sekti Kartika Dini Tarisya Qurrota A'yuni