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All Journal Jurnal Pilar Nusa Mandiri JOISIE (Journal Of Information Systems And Informatics Engineering) Technologia: Jurnal Ilmiah TEKNOKOM : Jurnal Teknologi dan Rekayasa Sistem Komputer Jurnal Mnemonic JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Sistem Komputer & Kecerdasan Buatan Jurnal Sains Komputer dan Teknologi Informasi Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) J-Intech (Journal of Information and Technology) Indonesian Journal of Research and Educational Review (IJRER) Jurnal Teknik Informatika dan Elektro (JURTIE) RJOCS (Riau Journal of Computer Science) Sabangka Abdimas Jurnal Pengabdian Masyarakat Sabangka International Significance of Notary Bajhrah : Jurnal Pengabdian Kepada Masyarakat Joong-Ki
Hoiriyah, Hoiriyah
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology 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 Library & Information Science Mathematics Physics Public Health Social Sciences Other

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Lexicon-Based and Naive Bayes Sentiment Analysis for Recommending the Best Marketplace Selection as a Marketing Strategy for MSMEs Hoiriyah, Hoiriyah; Mardiana, Helva; Walid, Miftahul; Darmawan, Aang Kisnu
Jurnal Pilar Nusa Mandiri Vol 19 No 2 (2023): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v19i1.4176

Abstract

MSMEs (micro, small, and medium enterprises) play an essential role in the Indonesian economy, contributing to 60% of the country's GDP (gross domestic product), creating jobs, and increasing non-oil and gas exports. However, MSMEs in Indonesia face various challenges, including access to technology, digital marketing tools, financial resources, limited market distribution, and low technological literacy. Marketplaces provide an essential marketing channel for MSMEs to increase their competitiveness and sales. Sentiment analysis can assist businesses in making informed decisions about which marketplace to use to increase customer satisfaction. Apart from the importance of the marketplace for MSMEs in Indonesia, research on sentiment analysis for marketplace recommendations is still minimal. Therefore, this study aims to analyze six popular marketplaces in Indonesia using Lexicon-based and naïve Bayes research methods to provide the best marketplace recommendations for MSME marketing. The results showed that Blibli.com had the highest accuracy, followed by Tokopedia, Tiktokshop, Lazada, Shopee, and Bukalapak. Blibli.com received positive reviews with 96.33%, followed by Tokopedia with 95.25%, Tiktokshop with 94.61%, and Lazada with the highest accuracy. 94.22%, Shopee 92.18%, and Bukalapak 89.57%. This research has two significant contributions. First, making a scientific contribution by applying a combination model of lexicon-based and naïve Bayes to analyze market sentiment in Indonesia Second, offering a practical contribution by providing recommendations to MSME actors and policymakers in choosing the best marketplace for MSMEs marketing purposes in Indonesia. By utilizing the recommended marketplace, MSMEs can optimize their marketing strategy and increase their competitiveness in the digital marketplace.
SENTIMENT ANALYSIS ON LGBT ISSUES IN INDONESIA WITH LEXICON-BASED AND SUPPORT VECTOR MACHINE ALGORITHMS Hoiriyah, Hoiriyah; Qomariya, Nurul; Darmawan, Aang Kisnu; Walid, Miftahul; Efenie, Yuri
Jurnal Pilar Nusa Mandiri Vol 19 No 1 (2023): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v19i1.4183

Abstract

Non-heterosexual sexual orientation (LGBT) behavior today is one of the most pervasive issues in Indonesian culture. Because of its domino effect on social stability and physical and mental health, the phenomenon known as lesbian, gay, bisexual, and transgender (LGBT) has always been under scrutiny. The development of LGBT people in Indonesia reflects cultural changes that concern many people. Freedom of speech for LGBT people on social media has many public implications. Observation of this phenomenon gives rise to views of anomalies and discrepancies that have drawn criticism. Various attempts have been made to prevent the movement of LGBT people. However, until now, many still debate the pros and cons of this LGBT movement. The lexicon-based method uses a support vector machine to classify public opinion in TikTok video comments about LGBT issues. The lexicon-based method is used as a weighting method, and the support vector machine method is used as a classification method. The results show that the highest gain in sentiment is neutral, with percentage values of 61%, 56%, 68%, 69%, and 63%. The second is positive sentiment, with percentage values of 27%, 27%, 20%, 20%, and 29%. The rest have negative sentiments. With a relatively high accuracy of the five data sets sequentially at 93%, 89%, 95%, 97%, and 91%. This shows that the majority of Indonesians prefer to ignore the issue.
SIMULASI GERBANG DASAR LOGIKA DALAM APLIKASI Hoiriyah, Hoiriyah
Jurnal Teknik Informatika dan Elektro Vol 2 No 2 (2020): Juli: Jurnal Teknik Elektro dan Informatika
Publisher : Universitas Gajah Putih

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55542/jurtie.v2i2.405

Abstract

It is no longer a secret that all science is currently developing and has technological advances that cannot be denied, especially in digital technology which is currently popular, one of which is a digital electronic system that is composed of logic gates so that it becomes a digital system formed from logic elements. the smallest is the logic gate (Logic Gate): OR, AND and NOT where the circuit work process on this logic gate uses Boolean algebra principles. In its implementation it is rather difficult to provide an understanding of logic gates manually or in theory to the public and the general public in understanding gate circuits electronics to understand the functions and uses of logic gates in electronic circuits with EWB (Electronic WorkBanch) as an electronic computer software that can be used to simulate the workings of an electronic circuit, both analog and digital. The EWB application is very helpful in providing an indirect understanding of understanding basic logic gate circuits as simulations in applications to reduce possible dangerous risks, with this application it makes it easy to know the conditions you want to design and create before implementing them in real form..
Metode Cepat Pembuatan Aplikasi Web Bootstrap Akademik Pada SMK Kota Banjarmasin Berbasis Codeigniter CHANDRA, HERRY ADI; Hoiriyah, Hoiriyah; Ekawati, Fakhriani
Technologia : Jurnal Ilmiah Vol 15, No 3 (2024): Technologia (Juli)
Publisher : Universitas Islam Kalimantan Muhammad Arsyad Al Banjari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31602/tji.v15i3.15494

Abstract

Dalam era digitalisasi pendidikan, penggunaan aplikasi web akademik menjadi suatu kebutuhan yang mendesak, terutama di Sekolah Menengah Kejuruan (SMK) Kota Banjarmasin. Tujuan utama dari penelitian ini adalah mengembangkan metode cepat untuk pembuatan aplikasi web akademik bootstrap berbasis CodeIgniter dengan pemanfaatan fremwork.metode pengembangan menggunakan pendekatan prototyping untuk mempercepat proses pembangunan aplikasi. CodeIgniter dipilih sebagai framework dasar untuk memastikan kestabilan dan keamanan aplikasi. Bootstrap digunakan sebagai alat bantu untuk memudahkan pengelolaan database tanpa perlu penulisan query SQL secara manual.hasil dari penelitian ini adalah aplikasi web akademik yang dapat memfasilitasi kebutuhan administrasi dan manajemen pendidikan di SMK Kota Banjarmasin. Aplikasi ini mencakup fitur-fitur seperti manajemen data siswa, pengelolaan jadwal pelajaran, pencatatan nilai, dan monitoring kehadiran siswa.penerapan metode cepat ini diharapkan dapat memberikan solusi efisien dan efektif dalam pengembangan aplikasi web bootstrap akademik, mempercepat waktu implementasi, dan meningkatkan kualitas layanan pendidikan di SMK Kota Banjarmasin
TWITTER TEXT MINING MENGENAI ISU VAKSINASI COVID-19 MENGGUNAKAN METODE TERM FREQUENCY, INVERSE DOCUMENT FREQUENCY (TF-IDF) Harieby, Edo; Hoiriyah, Hoiriyah; Walid, Miftahul
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 6 No. 2 (2022): JATI Vol. 6 No. 2
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v6i2.5129

Abstract

Penyebaran informasi mengenai vaksin covid-19 menarik perhatian masyarakat. Berbagai macam isu bermunculan terkait halal dan tidaknya vaksinasi covid-19 dilakukan. Media sosial Twitter salah satunya yang memberikan ruang pada masyarakat untuk menanyakan dan berkomentar terkait vaksin covid-19 melalui cuitan (tweet) ataupun retweet. Dengan metode TF-IDF, penelitian ini dilakukan untuk menganalisis text (analisis sentimen) dari kumpulan tweet sehingga hasilnya diketahui banyaknya kata yang muncul dapat menjadi suatu kata kunci dalam perbincangan di Twitter, bahwa banyak masyarakat yang menyetujui adanya wajib vaksin covid-19. Hasil penelitian ini menampilkan 5 kata teratas yang paling banyak muncul, antara lain : vaksin (831.431911 kata), vaksinasi (748.304896 kata), covid (709.626652 kata), sehat (435.356173 kata), dukung (417.387094 kata) dan indonesia (404.432113 kata). Sedangkan hasil pembobotan TF-IDF adalah : mui (0.6436902527847653), vaksin (0.132185733888140), covid (0.1566272932497384), sinovac (0.4762729721904365), suci (0.8634345960912986), halal (0.5720637913580648), dan ncovid (0.543713657254659). Hasil penelitian ini masih memerlukan pembobotan n-gram dengan L1 atau L2 Normalization agar dapat digunakan sebagai data train dan data test pada proses analisa selanjutnya.
KLASIFIKASI DATA TWEET UJARAN KEBENCIAN DI MEDIA SOSIAL MENGGUNAKAN NAIVE BAYES CLASSIFIER Susanti, Noor Aliyah; Walid, Miftahul; Hoiriyah, Hoiriyah
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 6 No. 2 (2022): JATI Vol. 6 No. 2
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v6i2.5174

Abstract

Ujaran kebencian banyak dilihat dan sering terjadi di dunia maya, terutama media sosial Twitter. Semenjak adanya pemilihan presiden di tahun 2014, masyarakat mulai mengenal bullying di dunia maya. Ujaran kebencian, berita-berita hoax, bahkan ancaman terhadap pemerintah dan tokoh publik kerap dilakukan. Untuk mengukur sentimen masyarakat terhadap suatu berita maka perlu dilakukan analisis sentimen, khususnya komentar pengguna Twitter. Pada penelitian ini, pengujian metode menggunakan Multinomial Naive Bayes (MNB) untuk mengukur akurasi klasifikasi ujaran kebencian dalam data tweet. Sebelum melakukan perhitungan nilai akurasi, data tweet harus diolah melalui teks preprocessing agar kata (term) dapat dikonversikan ke dalam bentuk matriks. Untuk kemudian diolah sebagai data numerik. Pengujian dilakukan pada dua kondisi pembobotan n-gram, yakni unigram dan bigram. Mulai menghitung nilai akurasi masing - masing pembobotan Unigram dan Bigram sehingga didapat hasilnya bahwa model perhitungan algoritma Naive Bayes Classifier memiliki nilai akurasi yang sama untuk masing - masing pembobotan n-gram, yakni 69,23076923076923.
Sistem Pendukung Keputusan Seleksi Anggota Paskibraka Kabupaten Pamekasan Maulidanitamyizi, Moh Fahmi; Hoiriyah, Hoiriyah; Hozairi, Hozairi
J-INTECH (Journal of Information and Technology) Vol 11 No 1 (2023): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v11i1.843

Abstract

This study evaluates the use of the Decision Support System (SPK) with the AHP method for the selection of Paskibraka members in Pamekasan Regency. The criteria used in this study were Body Posture (PT), Height (TB), and Health (K). The results of ranking the first priority criteria are Height (K = 0.70), second is Height (TB = 0.21), and third is Body Posture (PT = 0.08). From the results of the alternative ranking of the selected paskibraka participant candidates, A8=0.22, A7=0.20, A6=0.16, A5=0.12, A4=0.09, A3=0.06, A2=0.06, and A3=0.05. The contribution of the SPK application will help the committee evaluate the recruitment process of team members objectively.
PENGEMBANGAN SISTEM INFORMASI MTsN 2 PAMEKASAN hoiriyah, hoiriyah; Imamah, Imamah; risqoh, Ulifatur
BAJHRAH: JURNAL PENGABDIAN KEPADA MASYARAKAT Vol 1 No 1 (2024): BAJHRAH: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/2024.1.1.20-32

Abstract

MTsN 2 Pamekasan menghadapi tantangan website yang kurang lengkap dan video profil lama, sehingga kesulitan menarik minat calon siswa dan kepercayaan masyarakat. Kegiatan pengabdian ini, melalui pelatihan, pendampingan, dan kolaborasi dengan guru TIK, berhasil memperbarui website dengan desain menarik dan konten informatif, membuat/memperbarui video profil yang inspiratif, serta meningkatkan media promosi digital. Hasilnya, website MTsN 2 Pamekasan memiliki lebih banyak pengunjung dan minat calon siswa meningkat, serta terjalin kerjasama yang kuat antara Universitas Islam Madura dan MTsN 2 Pamekasan.
Pelatihan Simulasi Gerbang Logika Tambahan Meggunakan Electronic Workbench (EWB) Hoiriyah, Hoiriyah; Rahman, Muhammad Saidi; Wijaya, Yusup Indra; Chandra, Herry Adi; Amin, Muhammad; Ekawati, Fakhriani
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 6 No. 1 (2025): Jurnal Pengabdian kepada Masyarakat Nusantara Edisi Januari - Maret
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v6i1.4353

Abstract

Pada Sekolah Menengah Kejuruan (SMK) terdapat mata pelajaran Informatika untuk kelas 10 SMA biasanya tentang beberapa topik dasar yang penting untuk memahami teknologi informasi untuk mempelajari tentang Sistem Komputer yang membahas tentang gerbang logika yang pada dasarnya siswa mengalami kesulitan untuk memahami gerbang-gerbang secara langsung yaitu pada aljabar Boolean dan diaplikasikan pada gerbang logika yang sebenarnya hal ini membuat siswa bingung dan sulit untuk mengimplementasikannya secara nyata ke dalam rangkaian, maka diperlukan suatu simulasi yang dapat mengimplementasikan gerbang-gerbang dasar dan tambahan secara nyata ke dalam rangkaian digital, yang salah satu implementasinya adalah dengan menggunakan Electronic Workbench (EWB). Dari hasil analisis yang dilakukan pada siswa di SMK Kota Banjarmasin memberikan kontribusi yang positif dalam menambah pengetahuan secara langsung pada saat pelatihan, dan membantu memperkuat keterampilan serta pemahaman mereka dalam mengimplementasikan gerbang-gerbang logika ke dalam rangkaian yang sebenarnya dengan simulasi aplikasi EWB. Dengan demikian meningkatkan rasa percaya diri dalam memahami gerbang-gerbang dan dapat mendorong siswa untuk lebih mengenal dan memahami tentang Sistem Komputer.
Analysis of Junior High School Students' Mathematical Disposition Through Congklak Games in Working on Story Problems Hoiriyah, Hoiriyah; Anas, Aswar; Sulisawati, Dwi Noviani
ETDC: Indonesian Journal of Research and Educational Review Vol. 4 No. 3 (2025): June
Publisher : Education and Talent Development Center Indonesia (ETDC Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51574/ijrer.v4i3.3525

Abstract

This study is important because of the many challenges faced by students in understanding word problems, especially those related to the concepts of LCM and GCF. Therefore, this study intends to examine students' mathematical disposition in solving word problems related to the concepts of Least Common Multiple (LCM) and Greatest Common Divisor (GCF). The research method used was a qualitative one, analyzing subjects in junior high school. This study was conducted in grade VII of junior high school MHI Bangsalsari. The instruments used include observation, problem study (questions), interviews, and documentation. We analyze the data using qualitative descriptions to solve word problems, utilizing Congklak as an educational tool. The research findings show that the congklak game serves as an excellent medium to increase students' interest in mathematics during the learning process. The implications of this research can help teachers in explaining topics by providing learning media that facilitate student understanding.
Co-Authors Aang Kisnu Darmawan Anggraini, Lilis Aprilia, Inka Aprilia Aryo Adhi Wijoyo Negoro, Muhammad Aryo Adhi Wijoyo Aswar Anas Bakir, Bakir Chandra, Herry Adi Dwi Noviani Sulisawati Efenie, Yuri Ekawati, Fakhriani Harieby, Edo Hozairi Humayrotul Hasanah Imamah Imamah Kamelia Kamelia Khoir, Afiful Kisnu Darmawan, Aang M. Ali Fikri Mardiana, Helva Maulidanitamyizi, Moh Fahmi Mohammad Firmansyah Mudinillah, Adam Muhammad Amin Muharir, Muharir Muhlis, Mohammad Mukamilah, Sitti Munir, Misbahol Munir Qomariya, Nurul Rahman, Muhammad Saidi risqoh, Ulifatur Rofiuddin saifulloh Saifulloh, saifulloh Susanti, Noor Aliyah Walid, Miftahul Wijaya, Yusup Indra