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Implementation of K-Means and Agglomerative Hierarchical Methods to House Clusterization Abdul Rozaq
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 2 (2022): April 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i2.3573

Abstract

People in general will think that building a house with a larger building area will cost more than building a house with a smaller building area. This view is not always correct because one of the factors that affect the size of the cost depends on the size of the building and the ratio of the mixture between cement, sand and lime. The smaller the cement mixture for buildings, the smaller the costs will be. Based on this case, the researchers grouped the data (clustering) using Euclidean distance to measure the distance between points. Grouping 200 data based on 2 features, namely the amount of cement and the amount of costs that do not have a label. The results showed that clustering with the K-Means method was able to group 200 data into 3 groups with the results of group one as many as 50 data, group 2 as many as 50 data, group 3 as much as 100 data with a computation time of 0.444 seconds and silhouette 0.82 while the results of clustering research using the Agglomerative Hierarchical method with a single linkage shows 100 data in group 1,50 data in group 2, 50 data in group 3 with a computation time of 3.22 seconds and silhouette 0.51
Penalaran Berbasis Kasus Untuk Menentukan Pajak Bumi Dan Bangunan Abdul Rozaq; Latjuba Sofyana
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 4 (2019): Edisi Juli
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v4i1.112

Abstract

Calculating land and building taxes requires a measure of land area and estimated costs when building a house. As such, tools are needed that can predict building material requirements appropriately and quickly. The CBR approach can be used to solve these problems, where the method is able to reason to solve problems based on existing cases as a solution to new problems. The system built in this study is a CBR system to determine the building material needs of a house. The consultation process is carried out by entering a new problem compared to the old case then the similarity value is calculated using the nearest neighbor. calculation with data on land area of 100 meter2, building area of 38 meter2, quality of type 2 building, 2 bedrooms, 1 bathroom, lightweight steel roof truss and cast tile, then the accuracy value is 0.985 of type 38 from base case so that there is an earth tax and buildings amounting to Rp. 100,389.4. The test results of 111 data test cases, obtained 9 cases that have similarity values below 0.8
PEMBELAJARAN DARING KOMBINASI BERBASIS WHATSAPP PADA KELAS KARYAWAN PRODI TEKNIK INFORMATIKA UNIVERSITAS PGRI MADIUN Latjuba Sofyana; Abdul Rozaq
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 8 No. 1 (2019)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v8i1.17204

Abstract

Perkembangan pendidikan tinggi saat ini dipengaruhi oleh pesatnya kemajuan teknologi informasi dan komunikasi. Salah satu teknologi informasi yang ikut berperan dalam dunia pendidikan adalah pembelajaran Daring. Pembelajaran daring berfungsi sebagai penghubung antar dosen dan mahasiswa dengan jaringan internet  yang dapat diakses kapan saja dan dimana saja. Tujuan dari penelitian ini adalah menganalisis penerapan pembelajaran Daring Kombinasi berbasis whatsapp pada kelas karyawan Prodi Teknik Informatika, Universitas PGRI Madiun. Metode penelitian ini menggunakan metode pengumpulan data, Instrumen yang digunakan menggunakan kuesioner dalam bentuk daftar pertanyaan yang ditujukan kepada mahasiswa kelas karyawan. Hasil dari penelitian disimpulkan bahwa 69% menyatakan kurang efektif  pembelajaran secara konvensional, minat mahasiswa dalam pembelajaran daring sekitar 89% berminat dan 78% setuju bahwa dalam penerapannya dinilai lebih efektif daripada pembelajaran konvensional.
Sentiment Analysis of Kampus Mengajar 2 Toward the Implementation of Merdeka Belajar Kampus Merdeka Using Naïve Bayes and Euclidean Distence Methods Abdul Rozaq; Yessi Yunitasari; Kelik Sussolaikah; Eka Resty Novieta Sari
International Journal of Advances in Data and Information Systems Vol. 3 No. 1 (2022): April 2022 - International Journal of Advances in Data and Information Systems
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25008/ijadis.v3i1.1233

Abstract

The Ministry of Education and Culture initiated the Merdeka Belajar Kampus Merdeka (MBKM) program. Several programs in Merdeka Belajar Kampus Merdeka (MBKM) Program include industrial internships, independent projects, student exchanges, community service projects, humanitarian programs, and so on. Kampus Mengajar 2 is one of the programs had been running. The program received various responses from the public, which were expressed on social media. The Supervisor at kampus mengajar 2 was also active in providing various comments on kampus mengajar 2 telegram groups in the form of good, bad, and neutral comments. These comments have the potential to generate a growing sentiment among the general public and academics. Based on these issues, the researcher analyzed the kampus mengajar 2 sentiments toward the implementation of Merdeka Belajar Kampus Merdeka program with the data source being comments on the supervisors' telegram group. The data obtained from the telegram group is classified as good, bad, or neutral using the Naive Bayes method and K-Nearest Neighbors on up to 591 data points. The data is then divided into two parts: training data and testing data. Testing data can account for up to 20 percent of total data, with the remaining 80 percent serving as training data. The accuracy results on sentiment analysis show that the Naive Bayes method outperforms the KNN method, with 99.30 percent for Naive Bayes and 97.20 percent for K-Nearest Neighbors.
Edukasi Facebook Marketplace Sebagai Media Promosi Produk Rumahan Desa Sumbersari Kecamatan Saradan Kabupaten Madiun Pratiwi Susanti; Moch Yusuf Asyhari; Fatim Nugrahati; Abdul Rozaq
Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Vol. 2 No. 4 (2022): Juli 2022 - Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25008/altifani.v2i4.259

Abstract

Kegiatan pengabdian masyarakat ini berawal dari permasalahan kelompok ibu-ibu PKK yang memiliki usaha UMKM mengalami keresehan karena sulit mendapatkan jangkauan pelanggan yang lebih luas. Sehingga untuk menyelesaikan persoalan tersebut kami melaksanakan program pengabdian masyarakat dengan tujuan dari program kegiatan ini adalah untuk memberikan edukasi bagi ibu-ibu desa sumbersari mengenai pembelajaran berpromosi yang mudah dan cepat dengan menggunakan facebook marketplace. Metode pelaksanaan kegiatan yang digunakan dengan menggunakan metode ceramah pada penyampaian materi seputar teori dan kebermanfaatan facebook marketplace. Selanjutnya dilakukan metode praktik mengenai pelatihan simulasi berjualan pada platform facebook marketplace. Metode praktik dilakukan untuk memberikan gambaran langsung pada peserta mengenai penggunaan facebook marketplace. Tahap terakhir dilakukan proses evaluasi program pelatihan dengan menggunakan metode dialog untuk mengumpulkan opini dari peserta yang mengikuti kegiatan. Peserta pada kegiatan ini adalah ibu-ibu PKK Ds Sumbersari yang memiliki usaha lokal. Hasil dari kegiatan ini memberikan kebergunaan bagi peserta kegiatan terhadap pemahaman kompetensi berjualan online supaya jangkauan pembelinya lebih luas.  
Pelatihan Web Log sebagai Media Publikasi Sekolah dan Kegiatan Belajar Mengajar di SDN 1 Ngampel Moch Yusuf Asyhari; Juwari Juwari; Abdul Rozaq; Kelik Sussolaikah
PaKMas: Jurnal Pengabdian Kepada Masyarakat Vol 2 No 2 (2022): November 2022
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/pakmas.v2i2.1267

Abstract

The pandemic makes the utilization and competition of information and communication technology has increased. One of the ways to maintain the existence of schools are publication media of more varied school information and teaching-learning activities media. The purpose of this training program is to provide additional expertise for creating inexpensive and fast publications media and teaching-learning media. The offered solution is the use of web logs from Google which is often known as Blogger. Blogger offers a free and easy web log feature. The training was carried out directly at the Sekolah Dasar Negeri 1 Ngampel by using lectures and demonstrations method. There are several parts in this training, web log making, web log management, and also web log analysis. The results of this training show that the participants have succeeded in having their own web logs which are ready to be further managed and analyzed on a regular basis. The use of web logs can be used for various needs, including as a publication media and supporting teaching-learning activities.
The Effect of Initialization Weights for Multi Layer Perceptron Performance on Prediction of House Construction Costs Abdul Rozaq
Building of Informatics, Technology and Science (BITS) Vol 4 No 2 (2022): September 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i2.2130

Abstract

The house is one of the primary human needs besides food and clothing. Therefore, the community will always try their hardest to meet primary needs. For the middle and lower class people, it is going to very difficult to build a residential house because the income does not match the increase in house prices. With an artificial neural network, the middle to lower class people can estimate the costs that must be prepared if you want to build a residential house, of course this will be cheaper than using housing developer services. Based on the data that has been obtained, the researcher is then trained and tested using an artificial neural network with 13 data input, 25 hidden layers, a learning rate of 0.75, the number of iterations of 1000, the best test results are MSE value, 0.1, mean accuracy of 97.22 and computation time of 0,028 seconds
CLASSIFICATION OF STUNTING STATUS IN TODDLERS USING NAIVE BAYES METHOD IN THE CITY OF MADIUN BASED ON WEBSITE Abdul Rozaq; Ari Joko Purnomo
Jurnal Techno Nusa Mandiri Vol 19 No 2 (2022): Techno Nusa Mandiri : Journal of Computing and Information Technology Period of
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/techno.v19i2.3337

Abstract

Stunting pada balita merupakan masalah gizi kronis yang sedang dialami dunia kesehatan. Anak dengan kondisi stunting mengalami kecenderungan penurunan tingkat kecerdasan, gangguan berbicara dan kesulitan dalam menangkap pembelajaran dalam metode yang biasa. Kota Madiun masih menghadapi tantangan dalam permasalahan gizi stunting. Prevalensi angka stunting tahun 2020 sebesar 10,18 persen atau 814 anak dari total 7.996 yang diukur. Penggunaan data mining dapat digunakan dalam berbagai bidang yang berhubungan dengan sekumpulan data yang banyak. Terdapat beberapa teknik pengerjaan data mining dalam pengambilan suatu informasi, diantaranya adalah klasifikasi. Umumnya klasifikasi status stunting menggunakan indeks TB/U atau tinggi badan dibanding usia. Pada penelitian ini, metode yang digunakan adalah metode naive bayes, yakni metode yang digunakan untuk memprediksi berbasis probabilitas, sistem yang dibangun menggunakan bahasa pemrograman python dan flask sebagai framework-nya. Dari hasil pengujian yang dilakukan menunjukkan bahwa metode naive bayes dapat digunakan dalam melakukan klasifikasi terhadap status stunting pada balita. Algoritma Naïve Bayes yang diimplementasikan ini, memiliki performansi nilai rata-rata yaitu akurasi sebesar 58%, precision sebesar 68%, dan recall sebesar 58% dari hasil pengujian confusion matrix dengan 30% data testing dan 70% data training.
Pendampingan Pemasaran Produk UMKM Memanfaatkan Media Sosial Instagram dan Tiktok Abdul Rozaq; Inung Diah Kurniawati; Yessi Yunitasari; Latjuba Sofyana STT
Jurnal Nusantara Berbakti Vol. 1 No. 1 (2023): Januari : Jurnal Nusantara Berbakti
Publisher : Universitas Kristen Indonesia Toraja

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1439.566 KB) | DOI: 10.59024/jnb.v1i1.64

Abstract

Perkembangan teknologi membawa dampak yang signifikan bagi para pelaku UMKM. Sehingga, mau tidak mau, pelaku UMKM harus menyesuaikan diri dengan pemasaran yang dulunya secara konvensional dan beralih ke online. Secara teknis pendampingan kegiatan pemasaran produk UMKM secara digital berbeda dengan yang sudah dilakukan oleh pelaku UMKM di Desa Kajang sebelumnya. Manfaat kegiatan pengabdian ini selain melakukan pendampingan dan sosialisasi pemasaran produk secara digital sebagai bahan dalam meningkatkan penjualan produk dan memperluas pangsa pasar dengan cara pemanfaatan branding foto produk secara digital marketing. Dari 15 pelaku UMKM yang mengikuti kegiatan ini, memperlihatkan 87% UMKM telah memiliki dan memanfaatkan media sosial untuk kegiatan pemasaran produknya. Adapun yang belum memanfaatkan media social karena hanphone yang dimiliki tidak support.
PELATIHAN MICROSOFT WORD DAN MANAJEMEN FILE BAGI LEMBAGA DESA KAJANG DI DESA KAJANG KECAMATAN SAWAHAN Latjuba Sofyana STT; Inung Diah Kurniawati; Abdul Rozaq; Arri Mushafaturrahman
Community : Jurnal Pengabdian Pada Masyarakat Vol 2 No 2 (2022): Juli : Jurnal Pengabdian Pada Masyarakat
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (551.449 KB)

Abstract

The demands of the times bring changes in various aspects of life. Technology has an important role in this era, because the joints of life are better connected with the support of information technology. One of the things that are demanded to be mastered by the community is the basic use of computers and Microsoft Office. Operating a computer is part of the skill set, so the device needs to have skills in operating computers in Windows and Microsoft Office. Microsoft word is a one-on-one Office program known as word processing software. It is necessary to increase the skills and ability to use information and communication technology for village officials.