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All Journal Teknika: Jurnal Sains dan Teknologi Jurnal Edukasi dan Penelitian Informatika (JEPIN) International Journal of Advances in Intelligent Informatics Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Jurnal Agribisnis Terpadu Informatika Pertanian J Statistika: Jurnal Ilmiah Teori dan Aplikasi Statistika Amerta Nutrition Jurnal Aplikasi Statistika & Komputasi Statistik Jurnal Abdi Insani Journal of Information Technology and Its Utilization Jurnal Penyuuhan dan Pemberdayaan Masyarakat (JPPM) Journal of Artificial Intelligence and Digital Business
Budiaji, Weksi
Universitas Sultan Ageng Tirtayasa
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Penerapan Reproducible Research pada RStudio dengan Bahasa R dan Paket Knitr Budiaji, Weksi
Khazanah Informatika Vol. 5 No. 1 Juni 2019
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/khif.v5i1.7202

Abstract

Reproducible Research (RR) atau penelitian yang hasilnya dapat diulang sangat penting dalam sebuah penelitian karena dengan demikian peneliti lain akan dapat menjalankan ulang atau mengembangkan hasil penelitian sebelumnya dengan data dan kode yang telah tersedia. RStudio sebagai integrated development environment (IDE) software R dan paket Knitr menawarkan kemudahan untuk RR karena data dan kode dapat tersedia dengan mudah. Langkah pembuatan RR adalah pembuatan file .rmd, penyesuaian meta data, penulisan teks dan kode (chunk), dan rendering. Penerapan teks-kode, teks-tabel, dan teks-gambar pada sebuah contoh kasus artikel dengan RStudio, software R dan paket Knitr memberikan keuntungan yaitu penyesuaian hasil dan pengecekan yang lebih menghemat waktu jika terjadi perubahan data, cross reference yang mudah pada tabel dan gambar, dan kemudahan peneliti lain memanfaatkan data dan kode yang telah tersedia. Pengadopsian reproducible research (data dan kode tersedia) menjadi penting bagi seorang peneliti agar kontribusi terhadap keilmuan lebih efektif.
Rancang Bangun Sistem Monitoring Kualitas Air untuk Pemeliharaan Organisme Laut Susanto, Adi; Alimuddin, Alimuddin; Herjayanto, Muh.; Budiaji, Weksi; Fitria, Nur
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 6, No 3 (2020): Volume 6 No 3
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jp.v6i3.42899

Abstract

Kualitas air pada wadah pemeliharaan dan budidaya organisme laut merupakan aspek penting yang harus diperhatikan. Mekanisme pemeliharaan dan kontrol kualitas air laut lebih kompleks dibandingkan dengan air tawar karena lebih rentan terhadap cemaran yang berasal dari sisa metabolisme atau sisa makanan. Kemajuan teknologi saat ini memungkinkan untuk melakukan manajemen kualitas air secara terkontrol sehingga lebih efisien. Pengembangan sistem monitoring kualitas air dapat dilakukan menggunakan mikrokontrol arduino yang dilengkapi dengan sensor suhu, DO (dissolved oxygen) dan salinitas. Ketiga parameter tersebut menjadi pembatas utama bagi kelangsungan hidup organisme air laut. Hasil penelitian menunjukkan bahwa sistem yang dibangun dapat bekerja baik sesuai dengan perubahan kondisi parameter pengukuran dengan tingkat kesalahan 0,8-3,8%. Kebutuhan listriknya yang rendah (9 volt) memungkinkan variasi sumber energi yang dapat digunakan antara lain aliran listrik negara, generator, baterai, maupun sumber energi terbarukan seperti energi matahari atau energi angin. Meskipun demikian, keandalan sistem monitoring yang dibangun memerlukan validasi di lapangan sebelum diterapkan pada lingkungan yang sebenarnya.
PENYAJIAN DAN INTERPRETASI FAKTOR UTAMA SAAT INTERAKSI BERBEDA NYATA Budiaji, Weksi
Informatika Pertanian Vol 29, No 2 (2020): DESEMBER
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21082/ip.v29n2.2020.p73-82

Abstract

Jika analisis sidik ragam menghasilkan interaksi yang berbeda nyata, sesuai dengan prinsip marginalitas maka efek utama seharusnya tidak diinterpretasikan dan tidak diuji. Penelitian ini bertujuan mengevaluasi bentuk interaksi (terurut atau tidak terurut), sehingga penyajian dan interpretasi faktor utama saat terjadi interaksi dapat dibuat dengan benar. Metode yang digunakan adalah metode visual dan matematis yang diterapkan pada data simulasi dan dua data riil. Berdasarkan evaluasi matematis dari data simulasi, faktor utama dapat diinterpretasi pada saat kedua faktor utama berbeda nyata dan hanya berlevel dua. Saat jumlah level meningkat, peluang untuk menginterpretasikan faktor utama menjadi berkurang (12% pada jumlah level tiga). Penyajian data dapat menggunakan tabel kombinasi perlakuan dan tabulasi silang. Tabel tabulasi silang memungkinkan perbandingan perlakuan antar baris/ kolom sehingga penggunaan kalimat “huruf kecil yang sama pada baris yang sama dan huruf kapital yang sama pada kolom yang sama tidak berbeda” harus dihindari saat interaksi tidak terurut. Hal ini dilakukan agar interpretasi, perbandingan antar perlakuan, dan tingkat a yang digunakan tidak menyesatkan.
Medoid-based shadow value validation and visualization Weksi Budiaji
International Journal of Advances in Intelligent Informatics Vol 5, No 2 (2019): July 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v5i2.326

Abstract

A silhouette index is a well-known measure of an internal criteria validation for the clustering algorithm results. While it is a medoid-based validation index, a centroid-based validation index that is called a centroid-based shadow value (CSV) has been developed.  Although both are similar, the CSV has an additional unique property where an image of a 2-dimensional neighborhood graph is possible. A new internal validation index is proposed in this article in order to create a medoid-based validation that has an ability to visualize the results in a 2-dimensional plot. The proposed index behaves similarly to the silhouette index and produces a network visualization, which is comparable to the neighborhood graph of the CSV. The network visualization has a multiplicative parameter (c) to adjust its edges visibility. Due to the medoid-based, in addition, it is more an appropriate visualization technique for any type of data than a neighborhood graph of the CSV.
Penerapan Reproducible Research pada RStudio dengan Bahasa R dan Paket Knitr Weksi Budiaji
Khazanah Informatika Vol. 5 No. 1 June 2019
Publisher : Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/khif.v5i1.7202

Abstract

Reproducible Research (RR) atau penelitian yang hasilnya dapat diulang sangat penting dalam sebuah penelitian karena dengan demikian peneliti lain akan dapat menjalankan ulang atau mengembangkan hasil penelitian sebelumnya dengan data dan kode yang telah tersedia. RStudio sebagai integrated development environment (IDE) software R dan paket Knitr menawarkan kemudahan untuk RR karena data dan kode dapat tersedia dengan mudah. Langkah pembuatan RR adalah pembuatan file .rmd, penyesuaian meta data, penulisan teks dan kode (chunk), dan rendering. Penerapan teks-kode, teks-tabel, dan teks-gambar pada sebuah contoh kasus artikel dengan RStudio, software R dan paket Knitr memberikan keuntungan yaitu penyesuaian hasil dan pengecekan yang lebih menghemat waktu jika terjadi perubahan data, cross reference yang mudah pada tabel dan gambar, dan kemudahan peneliti lain memanfaatkan data dan kode yang telah tersedia. Pengadopsian reproducible research (data dan kode tersedia) menjadi penting bagi seorang peneliti agar kontribusi terhadap keilmuan lebih efektif.
Pemanfaatan Paket ddp di Software R untuk Analisis Pola Pangan Harapan Weksi Budiaji; Rifqi Ahmad Riyanto; Suherna Suherna
Amerta Nutrition Vol. 5 No. 3 (2021): AMERTA NUTRITION
Publisher : Universitas Airlangga, Kampus C, Mulyorejo, Surabaya-60115, East Java, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/amnt.v5i3.2021.303-312

Abstract

Background: Desirable dietary pattern (DDP) is a variety of food nutrition intake that is calculated based on energy (calory) consumption. A DDP index close to 100 has a meaning that the food intake varies. Badan Ketahanan Pangan RI (BKP) and Nutrisurvey have developed a DDP index calculation software. As an alternative, ddp package of R software can be also calculated ddp index.Objectives: To apply the ddp package of Software R in calculating and analyzing DDP of individuals both descriptive and inferential analyses and to compare the ddp package with the application of PPH Susenas and Nutrisurvey Software. Methods: This research applied survey and simulation methods. The survey was conducted on the 3rd-semester students of the Food Technology Department, University of Sultan Ageng Tirtayasa via an online survey. They administered both closed questions about dietary patterns and opened questions of a list of their daily food intake. Calculation and analysis of the DDP applied in the valid data in the ddp package of software R. The DDP analyses were followed by both descriptive and inferential analyses including t-test and simple linear regression.Results: The ddp packaged required 7 minutes to input the menu data of each person per day. Compared to Nutrisurvey, it required only 5 minutes. There were different results between the ddp package and Nutrisurvey because a category of food could absent in the Nutrisurvey databases. The harmonization application of the DDP analysis Susenas, on the other hand, had similar results. Both descriptive and inferential analyses as a further analysis can be applied easily. The descriptive analysis showed that the majority of respondents had a low value of energy, protein, and carbohydrate, while the inferential statistic resulted in that the food expenditure more than 70% significantly affected the DDP score.Conclusions: The ddp package could calculate and analyzed the DDP very well and had an equal result with the harmonization application of the DDP analysis susenas. Although the application process of the ddp package required a longer time than that of Nutrisurvey, the databases of the ddp package were more precise and suitable for the DDP calculation and analysis in Indonesia.
COMBINING SUPERVISED AND UNSUPERVISED METHODS IN TOURISM VISITOR DATA Weksi Budiaji; Vebriana Vebriana; Juwarin Pancawati
Journal of Information Technology and Its Utilization Vol 5, No 1 (2022)
Publisher : Sekolah Tinggi Multi Media (STMM) Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30818/jitu.5.1.4659

Abstract

Combining supervised and unsupervised method can assist in the data analysis process. This research aims to apply a supervised method, i.e. Poisson regression, that is followed by an unsupervised method, namely cluster analysis of the visitors in a tourism dataset. The samples were taken 80 persons purposively from the visitors of the Flower Garden X in Serang Regency, Banten Province. The dataset consists of the number of visits, travel cost, income/ stipend per month, gender, age, distance from the place of origin, and perception, which is formed by 11 questions of facilities and services. The Poisson regression was applied in the 30, 40, and 50 bootstrap samples resulted in the perception as the significant features. Then, medoid-based cluster analysis, i.e. pam and simple k-medoids, in the perception dataset was applied. They compared simple matching and cooccurrence distances and were validated via medoid-based shadow value. It grouped the visitors into five clusters as the most suitable number of clusters. The combined methods of supervised and unsupervised provided the cleanliness as the important indicator. The improvement of the tourism object had to be focus on the cleanliness aspect.
Medoid-based Clustering pada Kecamatan di Kabupaten Lebak dan Pandeglang Provinsi Banten Berdasarkan Trilogi Ketahanan Pangan Weksi Budiaji; Juwarin Pancawati
J STATISTIKA: Jurnal Imiah Teori dan Aplikasi Statistika Vol 15 No 1 (2022): Jurnal Ilmiah Teori dan Aplikasi Statistika
Publisher : Faculty of Science and Technology, Univ. PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (316.46 KB) | DOI: 10.36456/jstat.vol15.no1.a5468

Abstract

Lebak and Pandeglang Regions in Banten Province have a high stunting prevalence of children under 5 years old and have the lowest value of food security index among regions in Banten Province. Cluster analysis to group districts in Lebak and Padeglang Regions is indispensable to characterize the district members in those two regions. The variables applied to calculate distance between districts in a simple k-medoid clustering were trilogy of food security namely the availability, access, and utility of the food from Bureau of Statistics of Lebak and Pandeglang Regions 2019 data. The distances were varied among Euclidean, squared Euclidean, and Manhattan distances. The clustering result was then validated via consensus clustering and internal validation. The suitable number of clusters was four defined as the available and access cluster (cluster 1), the access cluster (cluster 2), the vulnerable cluster (cluster 3), and the available cluster (cluster 4). The cluster 3 as the vulnerable cluster should be focused on because it consists of 38% from overall districts in Lebak and Banten Regions.
Penerapan Regresi Generalized Poisson Pada Valuasi Ekonomi Objek Agrowisata: Studi Kasus Taman Bunga X di Kabupaten Pandeglang Provinsi Banten Moch Suryana; Weksi Budiaji; Setiawan Sariyoga
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 12 No 3 (2020): Jurnal Aplikasi Statistika dan Komputasi Statistik Edisi Khusus
Publisher : Pusat Penelitian dan Pengabdian kepada Masyarakat Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/jurnalasks.v14i1.384

Abstract

Valuasi ekonomi objek wisata sangat penting agar objek wisata dapat dikembangkan dengan tepat. Penelitian ini bertujuan untuk mengidentifikasi faktor-faktor yang mempengaruhi permintaan wisata dan menduga nilai ekonomi dari agrowisata. Sampel diambil dari 72 responden pengunjung agrowisata secara purposif. Faktor-faktor yang diukur adalah biaya perjalanan, pendapatan, jarak, usia, tingkat pendidikan, dan persepsi pengunjung terhadap objek wisata. Permintaan wisata dari agrowisata yang diukur dengan jumlah kunjungan dimodelkan menggunakan enam Regresi Generalized Poisson. Regresi terbaik dipilih berdasarkan kriteria informasi Akaike (AIC). Hasil penelitian menunjukkan bahwa permintaan wisata dipengarahui oleh jarak pengunjung dari tempat asal. Koefisien biaya perjalanan pada regresi Generalized Possion digunakan untuk menghitung nilai surplus konsumen yang menghasilkan Rp 284.900, - per kunjungan. Nilai ekonomi objek agrowisata adalah Rp 2.165.240.000, - per tahun dihitung dari Februari 2020 sampai dengan Januari 2021 yang mengindikasikan bahwa objek agrowisata sangat penting untuk dijaga.
PENGETAHUAN MASYARAKAT TENTANG TRANSPLANTASI KARANG BERBASIS FISHDOM DI PULAU TUNDA, BANTEN SEBAGAI DASAR PROGRAM KREATIVITAS MAHASISWA PENGABDIAN PADA MASYARAKAT Syifa Alfiah; Sri Fajriah; Nur ‘Aida; Nada Thalia Permata Adriani; Muhamad Iqbal Muttaqin; Edo Ahmad Solahudin; Ahmad Luthfi Nur Fauzi; Weksi Budiaji; Muh. Herjayanto
Jurnal Abdi Insani Vol 10 No 1 (2023): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v10i1.842

Abstract

Coral rehabilitation on Tunda Island is carried out to support marine tourism, which is the mainstay of the community tourism sector. Because of this, the Student Creativity Program (PKM) is being carried out, namely community service (PM) related to fishdom-based coral transplants. This activity is the creation of artificial coral reefs that aim to restore underwater ecosystems, fish populations and diversity. The program's success starts from selecting locations and community participation through community knowledge. Based on this, the activity objectives were to obtain information on community knowledge about coral and marine ecotourism, recommendations for implementing coral transplants, and the location of PKM-PM on Tunda Island. The stages of the activity are planning, data collection in the community, and data analysis. Coordination is carried out with the local government and tourism awareness groups (Pokdarwis). The data was collected through non-formal interviews with community representatives in 2 RW 6 RT in Wargasara Village, Tunda Island. The interviews showed that more than 50% of the people of Tunda Island had good knowledge about coral reefs and their functions, coral transplants, the condition of coral reefs, fish locations and ecotourism on Tunda Island. More than 60% of the people of Tunda Island do not know the structure of the fishdom and have never attended socialization and training on coral transplantation. Therefore, the community suggests conducting coral transplantation training and fishdom construction on Tunda Island is necessary. The community suggested that coral transplants could be carried out in East Tanjungan and fishdom placement on the North Beach to support underwater tourism on Tunda Island. Community involvement, especially Pokdarwis, can guarantee the sustainability of PKM-PM activities on Tunda Island through coral conservation education-based tours.
Co-Authors Adi Susanto Ahmad Luthfi Nur Fauzi Amaliah, inti Arina, Faula Edo Ahmad Solahudin Herjayanto, Muh. Ikhsan, Aulia Juwarin Pancawati, Juwarin Majahar Ali, Majid Khan Moch Suryana Muhamad Iqbal Muttaqin Mukhtar, Mukhtar Mulyati, Sri Nada Thalia Permata Adriani Nur ‘Aida Nur Fitria, Nur Oktarisa, Yuvita Pancawati, Juwarin Pertiwi, Dinda Dwi Anugrah Pratiwi, Widya Rifqi Ahmad Riyanto Robby Zidny Saleh , Khaerul Setiawan Sariyoga Sri Fajriah Suherna Suherna Sukarna, Royan Habibie Sulaeni, Sulaeni Syarif Abdullah Syifa Alfiah Vebriana Vebriana WICAKSONO, AGUNG SATRIO Wicaksono, Agung Satrio Wijaya, Ferdian Bangkit