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OPTIMALISASI SUPPORT VEKTOR MACHINE (SVM) UNTUK KLASIFIKASI TEMA TUGAS AKHIR BERBASIS K-MEANS Oman Somantri; Slamet Wiyono; Dairoh Dairoh
Telematika Vol 13, No 2 (2016): Edisi Juli 2016
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v13i2.1722

Abstract

The difficulty in determining the classification of students final project theme often experienced by each college. The purpose of this study is to provide a decision support for policy makers in the study program so that each student can be achieved in accordance with their own competence. From the research that has been done text mining algorithms using Support Vector Machine ( SVM ) and K -Means as the technology used was produced a better accuracy rate with an accuracy rate of 86.21 % when compared to the SVM without K -Means is 85 , 38 %
Pillar Algorithm in K-Means Method for Identification Health Human Resources Availability Profile in Central Java M. Nishom; Sharfina Febbi Handayani; Dairoh Dairoh
JUITA : Jurnal Informatika JUITA Vol. 9 No. 2, November 2021
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1005.905 KB) | DOI: 10.30595/juita.v9i2.9860

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Based on data from the Ministry of Health, the distribution ratio between health workers and patients in Indonesia is still not equal distributed. It influenced by the distribution of health human resources that are not in accordance with the ideal needs of health services. This results need to identify the profile of the availability of health human resources in Indonesia. In this study, an approach will be implemented to identify the profile of health human resources availability using K-Means Clustering with a combination of pillar algorithms in optimizing the selection of the initial cluster centroid. Chi-square analysis is used to determine the disparity in the needs of health human resources with the conditions of the availability of health human resources in the Central Java region. The data collection method used in this research is the observation method, while the scientific method used in this research is the K-Means Clustering method. The results showed that the application has been generated can dynamically determine the health human resource cluster based on the disparity category of health human resource availability in the Central Java region. In addition, the labeling of the Pillar K-Means cluster based on the Chi-square test has a high degree of accuracy, namely 80%.
PENINGKATAN PEMAHAMAN DALAM PEMBUATAN WEB SEDERHANA BAGI SISWA SISWI DI SMKN 1 BUMIJAWA Dairoh Dairoh; M. Yoka; Ginanjar Wiro Sasmito; Mc.Chambali Mc.Chambali; Djatmiko Indrianto; Atmo Gayuh Laksmono S
JURNAL PENGABDIAN KEPADA MASYARAKAT Vol 25, No 3 (2019): JULI - SEPTEMBER
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jpkm.v25i3.14420

Abstract

Sekolah Menengah Kejuruan  (SMK) Negeri 1 Bumijawa yang merupakan salah satu sekolah menengah kejuruan di kabupaten Tegal yang terletak dikaki gunung Slamet dengan jarak  ± 50 dari kampus politeknik Harapan Bersama. Di Sekolah tersebut sistem jaringan komputer sudah sangat memadai, hal ini dibuktikan tersedia nya labortorium yang memadai. Selain itu disekolah tersebut terdapat berbagai jurusan, salah satunya adalah jurusan teknik komputer jaringan. Guna meningkatkan pengetahuan softskill dan hardskill siswa pada dunia industri nantinya, salah satunya adalah pengetahuan dalam pemanafaatan Teknologi Informasi dan Komunikasi  (TIK) khususnya pada pemahaman pembuatan web sederhana. Maka dilakukan kegiatan pengabdian masyarakat di Sekolah Menengah Kejuruan (SMK) tersebut dengan memberikan teori pengetahuan dan praktek pendampingan secara langsung kepada siswa-siswa selama 3 hari yakni dalam pembuatan web. Peningkatan pemahaman dalam pembuatan web tersebut dimaksudkan guna meningkatkan keterampilan hard skill kepada peserta. Kegiatan tersebut dimaksudkan untuk dapat menambah pengalaman pengetahuan tentang web sederhana dan memotivasi siswa untuk mengetahui lebih dalam tentang pembuatan web khususnya web sederhana. Hasilnya menunjukkan bahwa peserta sangat antusias mengikuti, peserta dapat mengenal, membuat, menggunakan serta mengelola web dinamis berupa blog dan peserta pelatihan telah memiliki web dinamis berupa blog. Kata kunci: Sekolah Menengah Kejuruan Negeri 1 Bumijawa, Web sederhana, Blog. Abstract  Vocational High School (SMK) 1 Bumijawa which is one of the vocational high schools in Tegal regency located at the foot of Mount Slamet with a distance of ± 50 from the Harapan Bersama polytechnic campus. At the school the computer network system was very adequate, this proved to be an adequate laboratory. In addition there are various departments in the school, one of which is a computer network engineering department. Vocational education is part of the education system that prepares graduates to have enough stock to be able to work in companies and master the experience of one field of work from many other occupations. In order to increase students' soft skills and hard skills knowledge in the industrial world later, one of them is knowledge in the use of Information and Communication Technology (ICT), especially in the understanding of making simple web. For this reason, understanding on the simple web can later be applied in the world of work or after graduating from vocational school. Then carried out community service activities at the Vocational High School (SMK) by providing knowledge theory and practice of mentoring directly to students for 3 days namely in making the web. Increased understanding in making the web is intended to improve the hard skills of the participants. The activity is intended to be able to add to the experience of knowledge about the simple web and motivate students to find out more about making web specifically the simple web. The results showed that the participants were very enthusiastic to follow, participants could recognize, create, use and manage dynamic web in the form of blogs and the trainees already had a dynamic web in the form of blogs. Keywords: Vocational High School, Simple Web, Blog.
Implementasi Wavelet pada Data Seismik Gunungapi Dairoh Dairoh; Dega Surono Wibowo
Jurnal Fisika FLUX Vol 17, No 2 (2020): Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat
Publisher : Lambung Mangkurat University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (10321.684 KB) | DOI: 10.20527/flux.v17i2.6945

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Noise decomposition on seismic volcanic data with wavelet using Daubechies wavelet decomposition on X and Y direction record data. Seismic volcanic data is in the form of broadband data, which broadband data has a wide frequency range so that it has a high enough noise level. So that when the noise decomposition process is carried out in selecting the decomposition of the noise it must be appropriate so that the information contained in it does not decompose, this is because the volcanic broadband seismic record data contains volcanic earthquake event information that has an amplitude at the same value as the amplitude of the noise. Therefore noise decomposition is done by implementing wavelet, that is by using Daubechies wavelet decomposition. The results show that Daubechies wavelet decomposition can break down noise properly without losing the information contained in the signal. The decomposition of noise uses Daubechies db 5 level 5 wavelet decomposition in detail. The results of the wavelet using wavelet decomposition obtained vulcanic earthquake events whose signal results showed conformity with volcanic earthquakes with T. Minakmi and wasserman's forms.
PENGENALAN DAN PEMANFAATAN SISTEM INFORMASI MANAJEMEN PENELITIAN DAN PENGABDIAN MASYARAKAT POLITEKNIK HARAPAN BERSAMA (SIMPENDI DI PHB) Dairoh; Slamet Wiyono; Sharfina Febbi Handayani; Ratono; Riszki Wijayatun Pratiwi; Dwi Intan Af’idah; Susi Nurindah Sari
Panrita Abdi - Jurnal Pengabdian pada Masyarakat Vol. 6 No. 2 (2022): Jurnal Panrita Abdi - April 2022
Publisher : LP2M Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/pa.v6i2.12702

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The Politeknik Harapan Bersama has research management and community service information system application used in the PHB P3M Unit (PHB Simpendi). To introduce and understand the SIMPENDI PHB system to users (lecturers), it is necessary to carry out PKM activities on the system. PKM activities involve 20 participants from representatives of various study programs and activities for three days. The results show that participants know and understand the PHB sympathy system. The participant's evidence this has been able to process practices on their respective accounts on each menu in the application, including practicing and submitting suggestions, improving suggestions, and reporting smoothly, correctly, and enthusiastically. As for the results of participant respondents on understanding the use of the PHB Simpendi application, it was found that 85% of participants were able to recognize, understand and use the SIMPENDI PHB system. --- Politeknik Harapan bersama telah memilik Aplikasi Sistem informasi manajemen penelitian dan pengabdian masyarakat Politeknik Harapan Bersama (Simpendi PHB) yang digunakan pada proses kegiatan penelitian dan pengabdian masyarakat di Unit P3M PHB. Untuk mengenalkan dan memahamkan sistem SIMPENDI PHB kepada pengguna (dosen) sehingga dilakukan kegiatan PKM terhadap sistem tersebut. Kegiatan PKM melibatkan peserta sebanyak 20 Orang dari  perwakilan berbagai program studi dan pelaksanaan kegiatan selama 3 hari. Hasilnya menunjukkan bahwa peserta mengetahui dan paham pada sistem simpendi PHB, hal ini dibuktikan dengan peserta telah dapat memproses praktik pada akun masing-masing pada tiap menu di aplikasi tersebut, diantaranya peserta dapat mempraktikan dan bisa mengajukan usulan, memperbaiki usulan, hingga laporan dengan lancar, benar dan antusias. Adapun hasil responden peserta terhadap pemahaman penggunaan Aplikasi Simpendi PHB diperoleh 85% peserta sudah dapat mengenal, memahami dan menggunakan sistem SIMPENDI PHB.
Dekomposisi Wavelet Data Seismik Broadband dari Stasiun Wanagama Yogyakarta pada saat Letusan Gunung Merapi 2010 D. Dairoh; Wiwit Suryanto
Jurnal Fisika dan Aplikasinya Vol 13, No 2 (2017)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat, LPPM-ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (994.794 KB) | DOI: 10.12962/j24604682.v13i2.2157

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Letusan Merapi 2010 mengakibatkan kerusakan alat pengamatan seismik yang terpasang disekitar gunung Merapi. Penelitian ini bertujuan untuk meneliti karakteristik gempa vulkanik gunung Merapi dari daerah di luar bahaya gunungapi (stasiunWanagama). Analisis dilakukan dengan melakukan proses dekomposisi wavelet untuk memisahkan even gempa vulkanik dan noise yang terekam selama kurun waktu letusan gunung Merapi 2010. Proses dekomposisi dilakukan dengan menggunakan wavelet Daubechies orde 5. Intrepretasi dilakukan dengan melihat karaktersitik sinyal gempa vulkanik dengan kandungan frekuensi sinyal hasil dekomposisi tersebut. Dari hasil penelitian ini diperoleh informasi event gempa vulkanik yang terjadi selama letusan Merapi 2010.ABSTRACTEruption of mount Merapi in 2010 has caused damaged the seismic observation stations installed around mount Merapi. This research aimed to investigate the characteristics of Mount Merapi is volcanic earthquakes of the outside of volcanoes danger area(Wanagama station). The analysis was conducted by wavelet decomposition process to separate the noise volcanic and seismic events were recorded during the period of the eruption of Mount Merapi, 2010. The decomposition process was done by using wavelet Daubechies order of 5. Theinterpretation was made by looking at the characteristics of volcanic seismic signals with frequency content of the signal decomposition. From the results, the research shows event of volcanic earthquakes that occurred during the 2010 eruption of Merapi.
Pendampingan Perempuan Warga Binaan Pemasyarakatan Menuju Perempuan Berdikari Di Lembaga Pemasyarakan Kelas II.B Kota Tegal Soesi Idayanti; Fajar Dian Aryani; Tiyas Vika Widyastuti; Achmad Irwan Hamzani; Dairoh Dairoh
Khadimul Ummah Vol 3, No 1 (2019): November 2019
Publisher : Universitas Darussalam Gontor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21111/ku.v3i1.3800

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Lembaga Pemasyarakatan adalah tempat pembinaan bagi narapidana atau orang-orang yang melakukan kejahatan. Lembaga Pemasyarakatan merupakan unit pelaksana teknis di bawah Direktorat Jenderal Pemasyarakatan Kementerian Hukum dan Hak Asasi Manusia. Kalau dilihat dari namanya Lembaga Pemasyarakatan mempunyai fungsi memasyarakatkan para narapidana supaya dapat diterima di kalangan masyarakat. Adapun menurut Pasal 3 UUD Nomor 12 Tahun 1995 Tentang Pemasyarakatan, fungsi Lembaga Pemasyarakatan adalah menyiapkan warga binaan pemasyarakatan agar dapat berintegrasi secara sehat dengan masyarakat, sehingga dapat berperan kembali sebagai anggota masyarakat yang bebas dan bertanggung jawab. Pembinaan dan pembimbingan narapidana meliputi Program pembinaan dan bimbingan yang berupa kegiatan pembinaan kepribadian dan kegiatan pembinaan kemandirian. Pembinaan kepribadian diarahkan pada pembinaan mental agar warga binaan menjadi manusia seutuhnya, bertaqwa dan bertanggung jawab kepada diri sendiri, keluarga, dan masyarakat.
PENGARUH VARIASI VOLUME MINYAK SAWIT TERHADAP SIFAT KIMIA DAN SIFAT FISIK BIODIESEL CAMPURAN SOLAR-MINYAK SAWIT-ALKOHOL (METANOL, ETANOL,BUTANOL) Syarifudin Syarifudin; Heru Nur Cahyo; Agus Suprihadi; Dairoh Dairoh
JURNAL KONVERSI Vol 8, No 2 (2019)
Publisher : Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (696.272 KB) | DOI: 10.24853/konversi.8.2.6

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Peningkatan volume kendaraan bermotor di Indonesia mengakibatkan peningkatan kebutuhan bahan bakar fosil dan emisi gas buang. Kelompok alkohol memiliki tingkat viskositas yang rendah dan dapat dijadikan sebagai solusi peningkatan kebutuhan bahan bakar dan emisi gas buang. Akan tetapi penggunaan alkohol pada basis yang tinggi berdampak buruk bagi performa kendaraan. Minyak sawit terbukti dapat mengurangi peningkatan kebutuhan bahan bakar. Minyak sawit dipilih karena ketersediaan yang melimpah dan harga yang relatif murah. Penelitian ini bertujuan mengevaluasi sifat kimia dan sifat fisik biodiesel dengan kandungan minyak sawit yang bervariasi. Sifat kimia dan fisik yang dievaluasi adalah viskositas, titik nyala dan nilai kalor. Berdasarkan hasil pengujian yang dilakukan, semakin tinggi volume minyak sawit dalam biodiesel, terjadi peningkatan viskositas dan penurunan titik nayala dan nilai kalor. Biodiesel dengan kandungan minyak sawit 85% merupakan biodiesel dengan viskositas tertinggi serta nilai kalor dan titik nyala terendah.
Feature Selection With the Random Forest Packages to Predict Student Performance Slamet Wiyono; Dyah Apriliani; Taufiq Abidin; Dairoh Dairoh
Systemic: Information System and Informatics Journal Vol. 5 No. 1 (2019): Agustus
Publisher : Program Studi Sistem Informasi Fakultas Sains dan Teknologi, UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (307.73 KB) | DOI: 10.29080/systemic.v5i1.618

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Each study program seeks to improve the quality of education and accreditation. One element that becomes the value of accreditation is students who graduate on time. The more active students, the more students will graduate on time. Thus, the head of the study program needs to make predictions of students who will be inactive in the next semester. To make predictions, we must determine what features are needed. This article is the result of feature selection research to predict the active status of students. The selection of features using seven features using the RandomForest package from R Studio. One feature as output is the active status of students and six features as input i.e; grade point (GP), grade point average (GPA), parent work, school majors, school category, and student hometown. The results of the selection of features show the strongest features to the weakest are; grade points (GP), grade point average (GPA), work of parents, majors of origin, schools of origin, and student hometown
Analisis Sentimen Pada Review Skincare Female Daily Menggunakan Metode Support Vector Machine (SVM) Riszki Wijayatun Pratiwi; Sharfina Febbi H; Dairoh Dairoh; Dwi Intan Af’idah; Qirani Rifa A; Amaliyah Gian F
Journal of INISTA Vol 4 No 1 (2021): November 2021
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/inista.v4i1.387

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Penampilan menarik merupakan hal yang diinginkan oleh sebagian perempuan, terutama perawatan kulit. Saat ini tingkat kepedulian merawat kulit sudah tinggi pada perempuan. Sebelum melaksanakan perawatan kulit hal yang utama yaitu mengetahui jenis kulit, untuk membantu perempuan agar lebih mudah mengetahui jenis produk skincare yang cocok pada kulit sehingga penelitian ini membahas mengenai analisis sentimen review skincare pada website kecantikan female daily. Metode yang digunakan pada penelitian ini adalah Support Vector Machine (SVM). SVM merupakan machine learning yang sudah banyak digunakan pada penelitian-penelitian sebelumnya dan memberikan hasil yang maksimal. Penelitian ini mendapatkan hasil akurasi sebanyak 87% dengan recall sebesar 90%, precision sebesar 84,90%, dan f1 score sebesar 87,37%.
Co-Authors Achmad Irwan Hamzani Achmad Miftahudin Af'idah, Dwi Intan Af’idah, Dwi Intan Agus Suprihadi Aini, Rakhmadhani Nurul Amaliyah Gian Amaliyah Gian F Ardi Susanto Ardi Susanto Arief Rachman Arief Rachman Aryani, Fajar Dian Atmo Gayuh Laksmono S Cece Sumantri Dega Surono Wibowo Dega Surono Wibowo, Dega Surono Djatmiko Indrianto Doni Cahya Adi Saputra Dwi Intan Af’idah Dwi Intan Af’idah Dyah Apriliani Dyah Apriliani Ginanjar Wiro Sasmito Handayani, Sharfina Febbi Heru Nur Cahyo I Nyoman Sujana Irfan Triadi Saputra Irvan Akbar Irwan Irwan Ishak, Andi Baso Lompengeng Jakaria Jakaria Juni Wantoro Juni Wantoro, Juni Koandres Koandres Krisnawati, Eli M. Fikri Hidayatullah M. Nishom M. Yoka Mc.Chambali Mc.Chambali Miftakhul Huda Mohammad Khambali, Mohammad Mokhamad Fakhrul Ulum, Mokhamad Muhammad Fikri Hidayattullah, Muhammad Fikri Muhammad Naufal Nurul Arifiah Gunarsih Nurul Renaningtias Oman Somantri Oman Somantri Qirani Rifa A Rahmadzani, Rifqi Fauzi Rais Rais Ratono Ratono Ratono Ratono, Ratono Riszki Wijayatun Pratiwi Riszki Wijayatun Pratiwi Riszki Wijayatun Pratiwi Riszki Wijayatun Pratiwi Riszki Wijayatun Pratiwi Riszki Wijayatun Pratiwi riszki wijayatun pratiwi, riszki wijayatun Rivaldo Mersis Brilianto Rudy Priyanto Sena Wijayanto Sharfina Febbi Handayani slamet Wiyono Slamet Wiyono Slamet Wiyono Slamet Wiyono Slamet Wiyono Slamet Wiyono Soesi Idayanti Solikhin, Annur Riyadhus Suryanto, Wiwit Susi Indah Sari Susi Nurindah Sari Susi Nurindah Sari Sutikno Sutikno Syarifudin Syarifudin Taufiq Abidin Taufiq Abidin, Taufiq Tiyas Vika Widyastuti Toarsi, Ferian Andhika Trima Mustofa, Trima Very Kurnia Bakti, Very Kurnia Wiyono, Slamet Yustia Hapsari, Yustia