Article Per Year (5 Year)
p-Index From 2020 - 2025
5.423
P-Index
This Author published in this journals
All Journal Jurnal EECCIS Prosiding Semnastek Jurnal Terapan Abdimas Fountain of Informatics Journal SemanTIK : Teknik Informasi Prosiding Seminar Nasional Teknoka Khadimul Ummah Journal of Social Dedication at-tamkin: Jurnal Pengabdian kepada Masyarakat DoubleClick : Journal of Computer and Information Technology Jiko (Jurnal Informatika dan komputer) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Multitek Indonesia : Jurnal Ilmiah KOMPUTIKA - Jurnal Sistem Komputer Infoman's: Jurnal Ilmu-Ilmu Manajeman dan Informatika Jurnal Mantik Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Jurnal Repositor Abdimas Galuh : Jurnal Pengabdian Kepada Masyarakat Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Teknik: Jurnal Ilmu Teknik dan Informatika Abdiformatika: Jurnal Pengabdian Masyarakat Informatika Jurnal Ilmiah IT CIDA : Diseminasi Teknologi Informasi Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) PELS (Procedia of Engineering and Life Science) Malcom: Indonesian Journal of Machine Learning and Computer Science Prosiding Seminar Nasional Hasil-hasil Penelitian dan Pengabdian Pada Masyarakat Gotong Royong : Jurnal Pengabdian, Pemberdayaan Dan Penyuluhan Kepada Masyarakat (J-P3KM) J-Icon : Jurnal Komputer dan Informatika SAINTEK Journal of Community Empowerment Prosiding Seminar Nasional Unimus
Aziz Musthafa
Universitas Darussalam Gontor
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry 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 Nursing Public Health Social Sciences Other

Published : 44 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 44 Documents
Search

 1   2   3   4   5 
SISTEM PAKAR PENYAKIT BAWANG MERAH MENGGUNAKAN CASE BASED REASONING DAN CERTAINTY FACTOR Musthafa, Aziz; Pradana, Faisal Reza; Setyaningrum, Haris; Triyatmoko, Rizqi Dino
SemanTIK : Teknik Informasi Vol 7, No 2 (2021): semanTIK
Publisher : Informatics Engineering Department of Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (711.261 KB) | DOI: 10.55679/semantik.v7i2.20624

Abstract

Petani bawang merah sering menghadapi berbagai jenis permasalahan baik gagal panen atau menurunnya hasil panen. Selain itu, bawang merah tergantung musim namun kondisi musim di saat ini sering berubah secara tidak pasti. Selain itu juga, karena beberapa faktor contohnya adalah faktor hama dan penyakit. Dengan demikian perlu adanya tindakan dalam mengurangi resiko tersebut dengan pendiagnosaaan terhadap hama dan penyakit. Diagnosis mengadopsi pengetahuan seorang pakar ke dalam aplikasi menggunakan Case Based Reasoning (CBR) dan Certainty Factor (CF). Dua metode ini, digunakan untuk menghasilkan hasil yang lebih akurat dan resiko gagal panen karena hama dan penyakit bisa dikurangi. Penelusuran fakta dengan CBR yaitu dengan menggali kejadian dan kemiripan suatu kasus(similar) dengan kasus baru. Sedangkan metode CF digunakan sebagai perhitungan diagnosis dengan faktor kepastian. Hasil pengujian menunjukkan bahwa sistem ini menghasilkan penilaian dari petani terhadap kebergunaan sistem sebesar 78.5%. Hal ini membuktikan bahwa sistem pakar ini bisa membantu para petani dalam mengurangi tingkat resiko gagal panen akibat faktor hama dan penyakit.Kata kunci; Case Based Reasoning, Certainty Factor, Bawang Merah, Sistem Pakar
Analisis Sentimen Opini Masyarakat Terhadap Virus Omicron Di Indonesia Menggunakan Metode Naïve Bayes Musthafa, Aziz; Harmini, Triana; Setiawan, Angga Fahri; Asy’ari, Nur Aini Shofiya
Fountain of Informatics Journal Vol. 7 No. 2 (2022): November
Publisher : Universitas Darussalam Gontor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21111/fij.v7i2.9359

Abstract

AbstrakVirus covid-19 terus bermutasi membentuk varian baru. Varian terakhir yang terdeteksi yaitu, varian Omicron dikenal sebagai varian B.1.1.529. Varian ini pertama kali dilaporkan dari Afrika Selatan pada 24 November 2021 dan saat ini telah menyebar ke seluruh dunia. Pada bulan juli 2022 kasus Omicron mengalami lonjakan. Hal ini menimbulkan banyaknya opini masyarakat khususnya di media sosial mengenai virus omicron. Penelitian ini bertujuan untuk megklasifikasi opini masyarakat terhadap kemunculan virus Omicron pada sosial media twitter dan youtube ke dalam kelas positif, negatif dan netral. Metode yang digunakan pada penelitian ini yaitu algoritma naïve bayes. Naïve bayes merupakan salah satu metode yang bisa digunakan untuk klasifikasi sentiment opini publik. Hasil penelitian sentiment analisis menggunkan naïve bayes menghasilkan tingkat akurasi sebesar 0.82%. Kemudian model diuji untuk membaca opini public di twitter dari tanggal 5 oktober 2022 sampai 27 oktober 2022. Untuk hasil sentiment pengguna twitter pada kata kunci Covid 19 didominasi oleh sentiment positif dengan presentase 85%. Dan untuk sentiment dengan kata kunci Omicron masih didominasi oleh sentiment positif dengan presentase 49%. Disebutkan dari hasil klasifikasi pada data bulan oktober 2022 berarti masyarakat jauh lebih optimis akan menghilangnya virus omicron. Untuk selanjutnya penelitian ini dapat ditingkatkan dengan menambah data atau menggunakan algoritma yang berbeda ataupun implementasi pada algoritma yang sudah ada.Kata kunci: Covid-19, Omicron, Media Sosial, Naïve bayes Abstract[Analysis Of News Sentiment And Public Opinion On Omicron Virus In Indonesia Using The Naïve Bayes Method] The Covid-19 virus continues to mutate to form new variants. The last detected variant, the Omicron variant, is known as the B.1.1.529 variant. This variant was first reported from South Africa on 24 November 2021 and has now spread worldwide. In July 2022 Omicron cases experienced a spike. This has led to a lot of public opinions, especially on social media, about the omicron virus. This study aims to classify public opinion on the emergence of the Omicron virus on Twitter and YouTube social media into positive, negative, and neutral classes. The method used in this study is the naïve Bayes algorithm. Naïve Bayes is a method that can be used to classify public opinion sentiment. The results of sentiment analysis research using naïve Bayes produce an accuracy rate of 0.82%. Then the model was tested to read public opinion on Twitter from 5 October 2022 to 27 October 2022. The results for Twitter user sentiment on the keyword Covid 19 were dominated by positive sentiment with a percentage of 85%. And sentiment with the keyword Omicron is still dominated by positive sentiment with a percentage of 49%. It was stated that the results of the classification of data for October 2022 meant that people were much more optimistic about the disappearance of the Omicron virus. Henceforth this research can be improved by adding data or using a different algorithm or implementing an existing algorithmKeywords:  Covid-19, Omicron, Social Media, Naïve Bayes
IMPLEMENTASI ALGORITMA FP-GROWTH UNTUK REKOMENDASI PEMINJAMAN BUKU DI PERPUSTAKAAN UNIVERSITAS DARUSSALAM GONTOR Muhammad Ridwan; Aziz Musthafa; Dihin Muriyatmoko
Jurnal Pengabdian Kepada Masyarakat Vol 7 No 1 (2024): At-Tamkin - Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Islam Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/attamkin.v7i1.4138

Abstract

Perpustakaan merupakan pusat dari peradaban keilmuan dalam dunia Pendidikan dan akademik dan juga sebagai pusat informasi. Dan perpustakaan di Universitas Darussalam Gontor merupakan pusat dari jantungnya Universitas. Di dalam mengelola literatur peminjaman buku, perpustakaan terkadang di hadapi dengan masalah rekomendasi buku dan koleksi kepada pemustaka. Data semakin lama akan bertambah semakin banyak. degan demikian adanya perkembang yang sangat pesat dengan demikian kita memanfatkan teknologi yang di mana dari data yang terbengkalai dapat kiata kelolah menjadi suatu analisis rekomendasi judul buku. Penelitian ini bertujuan memudahkan mahasiswa mencapai dalam mencari rekomendasi buku yang cocok untuk di pinjam. Dengan menggunakan metode Fp-Growth, penelitian melibatkan pengumpulan data, Data yang di gunakan untuk penelitian ini ada data dari awal sampai 2022 yang di mana data Loan History memiliki 4851 dan data Loan Bay Class memiliki 2127. Dan dalam penelitian ini menggunakanseluruh data untuk di lakukan testing, dan adapun tools yang akan di gunakan dalam pengelolahan dari data yang kita ambil adalah tools RapidMiner, dengan artribut yang akan mencakupi Fp-growth dan Association Rules. Berdasarkan analisis dari penelitian ini semua aturan yang akan di hasilkan memiliki nilai 91% Loan History dan 96% dari data Loan Bay class sehingga data dapat di gunakan dalam untuk refrensi rekomendasi dalam peminjaman buku. Kata kunci: UNIDA, Perpustakaan, Data Mining, Fp-Growth
PENDAMPINGAN PEMBUATAN AUTOMATIC WASTAFEL UNTUK PENCEGAHAN PENULARAN COVID-19 DI SEKOLAH MENENGAH KEJURUAN Puspitasari, Niken Sylvia; Musthafa, Aziz; Wahid, Abdul
Jurnal Terapan Abdimas Vol 7, No 1 (2022)
Publisher : UNIVERSITAS PGRI MADIUN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25273/jta.v7i1.10352

Abstract

Abstract Community empowerment activities at SMK PGRI 1 Ponorogo is focused on providing assistance in making automatic sinks. The purpose of this community empowerment is as downstream research results of the author on automatic sink technology as one of the tools to prevent the transmission of covid-19. This method of community empowerment is mentoring teachers and student of SMK PGRI 1 Ponorogo in making automatic sinks. The form of activity carried out is a seminar by the implementing team to partners on the manufacture of this technology. Through the transfer of knowledge in community empowerment activities, it is expected that partners can implement in the manufacture and development of tools independently. The results of this community empowerment can increase the knowledge of partners related to the manufacture of automatic sinks as one of the efforts to overcome the transmission of covid-19 in schools.Abstrak Kegiatan Pengabdian masyarakat di SMK PGRI 1 Ponorogo ini berfokus untuk memberikan pendampingan pembuatan automatic wastafel. Tujuan pengabdian masyarakat ini adalah sebagai hilirisasi hasil riset penulis tentang teknologi automatic wastafel sebagai salah satu alat untuk mencegah penularan covid-19. Metode pengabdian masyarakat ini adalah pendampingan kepada guru dan siswa SMK PGRI 1 Ponorogo dalam membuat automatic wastafel. Bentuk kegiatan yang dilakukan adalah seminar oleh tim pelaksana kepada mitra mengenai pembuatan teknologi ini. Melalui transfer ilmu dalam kegiatan pengabdian masyarakat ini diharapkan mitra dapat mengimplementasikan dalam pembuatan dan pengembangan alat secara mandiri. Hasil pengabdian masyarakat ini dapat meningkatnya pengetahuan mitra terkait pembuatan automatic wastafel sebagai salah satu upaya mengatasi penularan covid-19 di sekolah   
IPTEK BAGI MASYARAKAT SISTEM INFORMASI MANAJEMEN ADMINISTRASI DESA BERBASIS WEB DI DESA SEKARAN KECAMATAN SIMAN – PONOROGO Musthafa, Aziz; Utama, Shoffin Nahwa
Jurnal Terapan Abdimas Vol 3, No 1 (2018)
Publisher : UNIVERSITAS PGRI MADIUN

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (257.292 KB) | DOI: 10.25273/jta.v3i1.2160

Abstract

Abstract. The development of technology is very influential on community service in the village. Therefore, Sekaran Village Siman District Ponorogo District has made various improvements, including one of the information systems.With a location that is not too far from the University of Darussalam Gontor makes basis why people empowerment in Sekaran village as a partner is held. The condition of administration service system in the Village is still conventional or manual. Such as (a) data storage of villagers is still in the register books; (b) data storage archives, especially letters from villages have not implemented application based information systems. This has become influential to the villagers or village officials, where human errors often occur, the service queue, and a waste of time and cost. Therefore we need a system to overcome the existing problems. Based on the problem, implementer people empowerment develop Sistem Administrasi Desa (SIMADES) to facilitate the service of residents data and administration.Keywords: Information System, SIMADES, administration Abstrak. Perkembangan teknologi yang cepat sangat berpengaruh terhadap pelayanan masyarakat dilingkup desa. Oleh karena itu Desa Sekaran Kecamatan Siman Kabupaten Ponorogo telah melakukan berbagai peningkatan, termasuk salah satunya peningkatan sistem informasi. Dengan lokasi yang tidak terlalu jauh dari Universitas Darussalam Gontor menjadikan dasar mengapa pengabdian masyarakat di Desa Sekaran sebagai mitra diadakan. Kondisi sistem  pelayanan  administrasi  kependudukan  di Desa saat ini  masih bersifat konvensional atau manual, seperti: (a) Pencatatan data penduduk desa dalam buku - buku register; (b) Pendataan arsip khususnya surat-menyurat belum menerapkan sistem informasi berbasis aplikasi. Hal tersebut berimbas kepada  perangkat  desa maupun penduduk desa, dimana sering terjadi human error, antrian pelayanan, serta pemborosan waktu dan biaya. Oleh karena itu dibutuhkan suatu sistem untuk mengatasi permasalahan yang ada. Berdasarkan masalah tersebut, pelaksana pengabdian masyarakat melakukan pengembangan Sistem Informasi Desa (SIMADES) untuk memudahkan pelayan data kependudukan dan administrasi.Kata kunci: Sistem Informasi, SIMADES, administrasi
Website Performance Testing Using Speed Testing Model: A Case of Reputable Indonesian Journals Muriyatmoko, Dihin; Aziz Musthafa
Teknik: Jurnal Ilmu Teknik dan Informatika Vol 2 No 1 (2022): Mei : Teknik: Jurnal Ilmu Teknik dan Informatika
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/teknik.v2i1.120

Abstract

The speed of a web journal to load pages reflects the website performance. It has influenced user satisfaction. This study aims to study and analyze the performance of journal websites in Indonesia that are accredited by SINTA 1 by the Ministry of Research and Technology of the Republic of Indonesia. This test uses parameters owned by GTmetrix tools and calculated using descriptive statistical methods. This research hypothesis regarding the reliability of website speed testing has been tested and confirmed based on experiments. The research involved 61 journal websites, which were taken from December 2019 to February 2020. 366 individual website speed tests from 6 test server region have done, and recommendations have been given on test results. The test result showed that parameter based on PageSpeed score provided the value of 7.9% (grades A to B) and 92.1% (grade C to F) and YSlow score provided a value of 2.5% (grade B) and 97.5% (C to F). The experimental results prove that the performance of the journal website is still a lot in the low category. With the recommendation, it was expected that the speed and responsiveness of the journal website would increase
Pelatihan Keamanan dan Mutu Pangan Industri Rumah Tangga-Usaha Mikro Frozen Food Amilia Yuni Damayanti; Syamsuri; Agustin Rani Nurfadila; Arief Rahmawan; Bambang Setyo Utomo; Aziz Musthafa
Gotong Royong : Jurnal Pengabdian, Pemberdayaan Dan Penyuluhan Kepada Masyarakat Vol. 4 No. 1 (2024): Gotong Royong (JP3KM) Desember 2024
Publisher : Mata Pena Madani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51849/jp3km.v4i1.60

Abstract

Pengabdian  Kepada  Masyarakat  ini bertujuan  untuk  mendampingi dan membina para pekerja atau penjamah makanan di Savira Home Made Frozen Food dalam hal keamanan pangan dan mutu pangan terkait kandungan zat gizi.  Permasalahan yang dihadapi industri rumah tangga produk pangan olahan beku bahwa produk berisiko tinggi (high risk) yang memerlukan penanganan yang tepat, terutama pengaturan suhu yang tepat mulai dari proses produksi hingga ke tangan konsumen. Keamanan dari produk frozen food ini salah satunya dipengaruhi oleh suhu produk saat proses distribusi maupun penyimpanan, serta kandungan zat gizinya. Pengabdian kepada masyarakat ini menggunakan metode ceramah, forum group discussion, analisis laboratorium dan pendampingan.  Sasaran kegiatan pengabdian 3 pekerja penjamah makanan frozen food. Hasil  dari  pengabdian  kepada  masyarakat  ini bahwa masyarakat mendapatkan pelatihan keamanan pangan dan dilakukan analisis uji laboratorium zat gizi pada frozen food yang nantinya akan ditampilkan pada kemasan produk di bagian informasi gizi. Label gizi dapat meningkatkan daya saing dan kepercayaan konsumen.  
Analisis Sentimen Pandangan Masyarakat Terhadap Uji Emisi di Twitter Menggunakan Metode Support Vector Machine Aziz Musthafa; Dihin Muriyatmoko; Anggi Fauzan
Prosiding SISFOTEK Vol 8 No 1 (2024): SISFOTEK VIII 2024
Publisher : Ikatan Ahli Informatika Indonesia

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

Abstract

Air pollution caused by motor vehicles is a major problem today. To reduce the dangers of air pollution and pollution caused by increasing motor vehicle users, the government immediately enacted legal action against vehicles that did not conduct or pass emission tests. From these government actions there are various kinds of public opinions, especially on social media twitter. This study aims to classify public sentiment towards emission tests expressed on twitter social media by collecting comment data and labeling it as positive, negative, and neutral. The method used in this research with data amounting to 3459 comments uses Support Vector Machine (SVM). Meanwhile, to measure the performance of the SVM method using Confusion Matrix. The results of testing using the SVM method resulted in an accuracy of 76%, and the results of the classification obtained more positive class values. This states that the policies made by the government related to emission testing have received a positive response from the public.
Analisis Sentimen Pandangan Masyarakat Terhadap Piala Dunia U-17 Menggunakan Teknik Teks Mining Aziz Musthafa; Dihin Muriyatmoko; R Muh Yusril Harmawan
Prosiding SISFOTEK Vol 8 No 1 (2024): SISFOTEK VIII 2024
Publisher : Ikatan Ahli Informatika Indonesia

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

Abstract

One of the most loved sports by people around the world is football. Indonesia is one of the countries with the most football fans in the world. Indonesia is one of the countries with the largest number of football fans in the world, with 77% of the Indonesian population interested in football. Based on research analysis, Indonesia was selected to host the 2023 U-17 World Cup. The decision was made after the International Football Federation (FIFA) granted hosting rights. Specifically to the President of the Indonesian Football Federation (PSSI). This research aims to classify public opinion related to the event from twitter social media into 3 class categories, namely neutral, positive and negative. In this research, the methods used are Naïve Bayes algorithm and Support Vector Machine (SVM) algorithm. The classification results show that the naïve bayes method has an accuracy result of 0.73 while for the Support Vector Machine method the accuracy value obtained is 0.84 which shows that Support Vector Machine has better accuracy than Naive Bayes. Based on the model classification, positive sentiment has the highest percentage of other classes with a percentage of 35%, followed by negative sentiment with a percentage of 31% and neutral sentiment is the minority class with a percentage of 33%. From the percentage obtained, it can be concluded that the public has a positive view of the organisation of the U-17 world cup in Indonesia. It is hoped that in the future this research can be improved and implemented better with additional algorithm methods or with a larger amount of data.
Implementasi MVVM Dan Framework Jetpack Compose Pada Aplikasi Hukum Berbasis Android Aziz Musthafa; Dihin Muriyatmoko; Abdullah Hikmatyar Priandika
Prosiding SISFOTEK Vol 8 No 1 (2024): SISFOTEK VIII 2024
Publisher : Ikatan Ahli Informatika Indonesia

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

Abstract

This research discusses the development of Android-based legal applications using Model-View-ViewModel (MVVM) architecture and Jetpack Compose framework. The purpose of this research is to improve the access and understanding of the Indonesian people to legal aid through an efficient and user-friendly mobile application. The research method used is Software Development Life Cycle (SDLC) with a waterfall model that includes the stages of needs analysis, design, implementation, testing, and maintenance. Data was collected through a questionnaire distributed to 107 respondents aged 17-40 years to measure their understanding of the law and access to legal aid. The results of the analysis showed that 67% of the respondents knew how to get legal aid, but did not know the details of how. The developed app has several key features, such as a list of laws and regulations, AI Q&A, and lawyer consultation. The implementation of Jetpack Compose on the login, register, home, chatbot, regulations, and regulation details pages shows efficiency and ease in developing an interactive and responsive user interface. Application testing is carried out through verification by media experts, application users, and black box tests. The test results show that the application functions properly and meets user needs. The conclusion of this research is that the use of MVVM architecture and Jetpack Compose can speed up the development process and facilitate the maintenance of Android-based legal applications. This application is expected to provide practical and effective solutions in obtaining legal assistance and increasing legal understanding among the people of Indonesia.
Co-Authors Abdul Wahid Abdullah Hikmatyar Priandika Agustin Rani Nurfadila Akhmad Affandi Mahfudz Al Kahfi, Khairul Munzilin Anggi Fauzan Anisa Kirani Arief Rahmawan Arifah, Dian Afif Asy’ari, Nur Aini Shofiya Bambang Setyo Utomo Dahlan, Muhammad Alwi Dihin Muriyatmoko Dzulfikar As'ad, Ahmad Fa'iq Eko Nur Cahyo Eko Prasetio Widhi Ely Windarti Hastuti Fairoza Arafah, Rosa Faisal Reza Pradana Faisal Reza Pradhana Faishal Reza Pradhana Faizah, Nicke Vita Fariha 'Ulya Rahma Fathimah Fathimah Febri Wulan Sari Hadi Suyono Haris Setyaningrum Imam Rasyidin Muqsith Rizqi Prasetyo Izzuddin Faza, Wildan Jumhurul Umami Kamal Sholihin, Surya Kukuh Prasetyo Wibowo Kurniawan, Widya M. Sarosa Moch Alfi Syahrin Mochamad Naufal Mufandi, Ilham Muhamad Rido Muhammad Fikri Muhammad Nur Muhammad Nurrizky Ekaputra Muhammad Ridwan Nabiila Fatimatuz Zahra Niken Sylvia Puspitasari Nurhana Marantika Oddy Virgantara Putra Permadani, Agustin Amalia Pradana, Faisal Reza Putra, Firmana R Muh Yusril Harmawan Rafiq, Abid Rahma Yudi Astuti, Rahma Yudi Reyhan Nafis Ibrahim Setiawan, Angga Fahri Shoffin Nahwa Utama Siti Suprihatiningsih Sufriadi Syamsuri Taufan Eka Hidayatullah Taufiqurrahman Taufiqurrahman Triana Harmini Triyatmoko, Rizqi Dino Wibisono, Vina Fithriana Widya Kurniawan