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Oktavianto, Hardian

Universitas Muhammadiyah Jember

Author-ID : 1282732

Religion Agriculture, Biological Sciences & Forestry Humanities Astronomy Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Nursing Public Health Social Sciences Other

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STUDI KLASIFIKASI TOPIK BERITA DENGAN ALGORITMA MACHINE LEARNING Guruh Wijaya; Dudi Irawan; Zainul Arifin; Hardian Oktavianto; Miftahur Rahman; Ginanjar Abdurrahman
J-ENSITEC Vol. 11 No. 01 (2024): December 2024
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/jensitec.v11i01.12037

As a result of the use and access of social media, it also has an impact on increasing the amount of data and information, especially text data. Text has become one of the most natural forms of data that is stored, so that the field of text mining is believed to be an advanced field of data mining. Facts that emerge from research studies that have been conducted show that 80% of company information is presented in text documents. Text mining is a multidisciplinary field, involving information retrieval, text analysis, information extraction, and clustering. The text mining classification method is one technique that can be used to carry out classification. Text classification specifically works to group text documents based on categories, and within the scope of news datasets, categories are generally divided into politics, economics, military, sports and others. Statistical methods are one of the most frequently applied methods in text emotion classification. As a method in statistics, Naive Bayes is a classification algorithm that is easy to understand in text classification. Apart from that, Naïve Bayes has good classification effects and performance for processing large-scale data. The conclusion of this research is, Naïve Bayes gets an accuracy value of 77.78%. Random Forest gets an accuracy of 70.1%. KNN gets an accuracy of 24.88% and SVM gets an accuracy value of 80.60%. Meanwhile, the respective running times are Naïve Bayes 0.046 seconds, Random Forest 150 seconds, KNN 15 seconds, and SVM 0.43 seconds.

Analisa Faktor-Faktor Yang Mempengaruhi Kepuasan Pengguna E Study Dengan Human Organisation Technology (Hot-Fit) Model Saputra, Septiyan Tri; Lusiana, Dewi; Oktavianto, Hardian
JSAI (Journal Scientific and Applied Informatics) Vol 7 No 3 (2024): November
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v7i3.7271

The purpose of this research is to determine the success rate of the Application E Study with the Human, Organization, Technology Evaluation Framework. (HOT-FIT Model). E Study application used to handle academic data and deliver academic information. Problem formulation How does service quality affect user satisfaction and the influence of user satisfaction and organization on net benefit. The results of the study are that Quality of Service (KL) has a significant influence on User Satisfaction (KP) with coefficients of 0.889 and C.R. 6,900. User satisfaction (CP) has a significant impact on Net Benefit (NB) with a coefficent value of 0.467 and a C.R value of 2.483. The results of the research show that the use of the E Study Application is successful because the user is satisfied with the features of the Application available on the E Study. The user is happy with the fast and responsiveservice

PENGEMBANGAN DAN PELATIHAN PENGELOLAAN WEBSITE DAKWAH BERBASIS CONTENT MANAGEMENT SYSTEM PIMPINAN DAERAH AISYIYAH KABUPATEN JEMBER Ridlo, Muhammad Zainur; Oktavianto, Hardian; Rasuki, Muhlisin
Bestari: Jurnal Pengabdian Kepada Masyarakat Vol 5, No 2 (2025)
Publisher : Sekolah Tinggi Keguruan dan Ilmu Pendidikan (STKIP) Melawi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46368/dpkm.v5i2.3520

Perubahan pola relasi sosial keagamaan di era digital ini salah satunya dapat dicermati pada perubahan pola komunikasi dakwah dikalangan umat islam. Pola dakwah yang dahulu menggunakan pola konvensional kini beralih pada bentuk dakwah digital. PDA Jember berdiri pada tahun 1971, sampai dengan saat ini sudah memiliki 24 Pimpinan Cabang Aisyiyah di tingkat kecamatan dan 93 Pimpinan Ranting Aisyiyah di tingkat Kelurahan. Model pelaksanaan kegiatan pengabdian kepada masyarakat ini terdiri dari sosialisasi, pembuatan aplikasi, dan pelatihan. Hasil pelatihan dan tes yang dilakukan kepada peserta pelatihan diperoleh hasil bahwa 100% dari peserta pelatihan sudah dapat melakukan update dan posting konten di website, 50% dari peseerta pelatihan sudah dapat membuat desain grafis dengan baik yang sesuai dengan konsep utama, 3% dari peserta pelatihan sudah dapat menguasai keterampilan troubleshooting

Implementasi Metode MOORA Pada Seleksi Basiswa Kartu Indonesia Pintar Kuliah di Universitas Muhammadiyah Jember Berbasis Web Rizky, Mohammad; Oktavianto, Hardian; Saifudin, Ilham
Journal of Digital Literacy and Volunteering Vol. 3 No. 1 (2025): January
Publisher : Puslitbang Akademi Relawan TIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57119/litdig.v3i1.97

The Indonesia Smart Card Scholarship Program is a dedication of the government to the society, aimed at providing opportunities for all Indonesian citizens to obtain quality higher education without being hindered by economic factors. One of the educational institutions that accepts students receiving the KIP-College Scholarship is Muhammadiyah University Jember. In determining eligible students for the KIP-College scholarship, the Student Affairs Bureau still employs manual methods, making it difficult to perform complex data analysis and evaluate selection results. This research builds a Decision Support System to assist in the selection process for the KIP-College Scholarship at Muhammadiyah University Jember using the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) method. This study utilizes several criteria with predetermined weights, namely, Decile Status, DTKS Status, Combined Parental Income, and Number of Dependents. The final result of this research is a ranking sorted from highest to lowest value, where the highest-ranking individuals are eligible to receive the KIP-College scholarship.

DALIL (DAKWAH DAN LITERASI ISLAM) SEBAGAI MEDIA DAKWAH DIGITAL YAYASAN MASLAH KHOIRU UMMAH JEMBER Hadijatmiko, Hadijatmiko; Oktavianto, Hardian; Ridlo, Muhammad Zainur
INTEGRITAS : Jurnal Pengabdian Vol 9 No 1 (2025): JANUARI - JULI
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat - Universitas Abdurachman Saleh Situbondo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36841/integritas.v9i1.6050

beriman dan taat kepada Allah sesuai dengan akidah, akhlak dan Syariat Islam secara sadar dan terencana. Salah satu sarana dakwah yang dianggap efisien untuk dimanfaatkan adalah melalui media sosial, dimana media sosial dapat menjangkau objek dakwah lebih luas. Objek dakwah yang dapat dijangkau oleh media sosial dalam hal ini website dapat menjangkau masyarakat dari berbagai unsur dan usia, yang mana masyarakat dapat menjangkau media dakwah tersebut dengan lebih mudah serta cepat tanpa mengenal batas ruang dan waktu. hasil dari kegiatan ini telah dilaksanakan sosialisasi, pelatihan dan pendampingan yang diikuti oleh 10 orang anggota Yayasan Maslah Khoiru Ummah Jember. Tiga aspek uji keterampilan dalam pengelolaan website yaitu membuat postingan, edit dan desain, dan troubleshooting. Hasil uji menunjukkan bahwa 90% menguasai keterampilan posting, 30% menguasai keterampilan desain grafis, dan 50% menguasai keterampilan troubleshooting.

Analisis Sentimen Komentar Youtube Masterchef Indonesia Menggunakan Algoritma Support Vector Machine dan Gaussian Naïve Bayes Marganingsih, Dirgahayu; Oktavianto, Hardian; Abdurrahman, Ginanjar
Jurnal Informatika dan Teknologi Pendidikan Vol. 5 No. 1 (2025): Juni 2025 - Jurnal Informatika dan Teknologi Pendidikan
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/jitp.v5i1.117

Platform media sosial menjadi utama untuk berbagi informasi, termasuk platform berbasis video sharing seperti Youtube, yang menyediakan konten edukasi, informasi, dan hiburan bagi masyarakat. Salah satu konten yang banyak diminati adalah acara memasak yang diadaptasi dari Inggris, yaitu Masterchef Indonesia. Yang berjalan selama 11 musim dari tahun 2011 sampai 2023 dengan 260 episode. Namun, pada musim ke 11 episode grand final terdapat pro dan kontra tentang kemanangan peserta yang membuat publik terprovokasi dengan kehadiran calon presiden Ganjar Pranowo. Melalui fitur komentar, pengguna dapat menyampaikan pendapat dan tanggapan, yang kemudian dapat diinterpretasikan untuk memahami pandangan masyarakat. Penelitian ini bertujuan untuk menganalisis komentar yang bernilai positif dan negatif pada channel Masterchef Indonesia dengan algoritma Support Vector Machine dan Gaussian Naïve Bayes. Sebelum diterapkan teknik oversampling untuk penyeimbangan data, algoritma Support Vector Machine menghasilkan akurasi 82%, presisi 88%, dan recall 72%, sedangkan Gaussian Naïve Bayes menghasilkan akurasi 65%, presisi 52%, dan recall 81%. Setelah teknik oversampling diterapkan, performa Support Vector Machine meningkat dengan akurasi 85%, presisi 84%, dan recall 89%, sementara Gaussian Naïve Bayes memperoleh akurasi 72%, presisi 68%, dan recall 72%.

Design and Development of an Android-Based Application for Hydroponic Introduction and Learning Media Fitriyah, Nur Qodariyah; Rosyidah, Ulya Anisatur; Oktavianto, Hardian
JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Vol. 8 No. 1 (2025): Jurnal Teknologi dan Ilmu Komputer Prima (JUTIKOMP)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jutikomp.v8i1.6668

Learning media will make it easier for people to learn hydroponic vegetable planting material compared to books because there are visualizations of images and videos so that it will be understood more quickly than just reading. Android is one of the open-source programming languages that allows makers to modify and distribute the results of making applications freely and freely. Developing learning media for hydroponic vegetable planting using Android will make it easier for readers because this application can be used anywhere without carrying more weight than books. In this learning media to be built, the advantages of this application are the visualization of attractive graphics, and simple decision support features related to the implementation of hydroponic farming, which includes capital and available land, as well as suitable plant species. The application has been successfully made, and based on the test results, it can be concluded that it can be appropriately used and produce results according to the design. The suggestions from this research are related to the application's appearance, which can still be developed to be more attractive.

PENERAPAN ALGORITMA APRIORI UNTUK MENGIDENTIFIKASI LOKASI STRATEGIS PROMOSI SEKOLAH SWASTA Sulistyo, Henny Wahyu; Hardian Oktavianto; Irawan, Dudi
J-ENSITEC Vol. 11 No. 02 (2025): June 2025
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/j-ensitec.v11i02.13377

Schools must carry out effective promotions and target the right markets to attract prospective students efficiently. This study applies data mining using Association Rule and Apriori algorithms to uncover patterns for identifying promising promotional areas. It consists of four stages: data collection, preprocessing, implementation and testing, and evaluation, aiming to determine strategic locations for school promotion. The Apriori algorithm analyzed student data and produced 16 association rules, all with 100% confidence. Findings show that Kaliwates District appeared eight times, Sumbersari four times, and Tempurejo and Patrang twice each, indicating most students come from Kaliwates. The ‘Public Elementary School’ itemset appeared 12 times, revealing that most students enrolled from public rather than private schools. The study concludes that educational data plays a crucial role in shaping promotion strategies, especially through association analysis. Rules with the ‘District’ itemset in the antecedent are particularly useful as a promotional reference. These insights help decision-makers identify high-potential regions and school origins, supporting more targeted and effective promotional efforts.

Implementasi Virtual Reality dalam Visualisasi Arsitektur Kampus Menggunakan Game Development Life Cycle (GDLC) Hidayat, Muhammad Hafid; Maulana, Oka Wahyu; Oktavianto, Hardian; Muharom, Lutfi Ali; Cahyanto, Triawan Adi; Saifudin, Ilham
BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Vol 6 No 2 (2025): September
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37148/bios.v6i2.169

Campus promotions often still rely on conventional media such as brochures, mockups, or 2D videos which are less attractive to the digital generation. This presents a challenge in effectively conveying the university's image and excellence to prospective students, especially high school students. To overcome these problems, this research aims to develop a campus architectural visualization system based on Virtual Reality (VR) technology as a promotional media for Muhammadiyah University. This system was developed using the Game Development Life Cycle (GDLC) method, which includes initiation, pre-production, production, testing, and post-production stages. 3D models of the campus buildings were created using Blender and integrated into Unity to build an interactive VR environment. Key features include virtual campus navigation, detailed 3D visualizations, and interactive information presentation. Testing was conducted using the black-box method and usability evaluation. The results show that the VR application is able to provide an interesting and informative campus exploration experience. This system is expected to be an effective and modern promotional media, and is able to increase prospective students' interest in the campus.

Perbandingan Kinerja Apriori Dan FP-Growth Dalam Pencarian Pola Asosiasi Pada Data Promosi Pendidikan Arifin, Zainul; Oktavianto, Hardian; Warisaji, Taufiq Timur; Sulistyo, Henny Wahyu
Journal of Information System and Technology (JOINT) Vol. 6 No. 2 (2025): Journal of Information System and Technology (JOINT)
Publisher : Program Sarjana Sistem Informasi, Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/joint.v6i2.10973

Data mining, khususnya Association Rule Mining, digunakan untuk mengidentifikasi hubungan tersembunyi dalam data dan menemukan aturan asosiasi yang bermakna, dengan algoritma seperti Apriori dan FP-Growth yang meningkatkan efisiensi dalam proses ini. Dalam konteks pendidikan, teknik ini dapat membantu sekolah dalam mengoptimalkan strategi promosi dengan menyesuaikan pesan dan penawaran berdasarkan preferensi audiens, sehingga meningkatkan efektivitas alokasi sumber daya. Dengan memanfaatkan Association Rule Mining, sekolah dapat merancang strategi berbasis data untuk menarik dan mempertahankan siswa. Pada penelitian ini akan dilakukan perbandingan penggunaan Apriori dan FP-Growth dalam mencari rule asosiasi pada data pendidikan untuk menunjang promosi sekolah SMP 1 Muhammadiyah. Algoritma Apriori dan FP-Growth dapat digunakan untuk menganalisis pola asosiasi dalam data pendidikan guna mendukung strategi promosi SMP Muhammadiyah 1. Hasil analisis menghasilkan 16 aturan asosiasi dari Apriori dan 6 aturan dari FP-Growth, Apriori menunjukkan bahwa mayoritas calon siswa berasal dari Kecamatan Kaliwates dan lebih banyak berasal dari Sekolah Dasar Negeri, sedangkan FP-Growth mengidentifikasi bahwa calon siswa potensial juga berasal dari Kecamatan Patrang dan Sumbersari, yang dapat menjadi fokus dalam promosi sekolah.

Co-Authors A'yun, Qurrota Abdul Azis Aditya Surya Manggala Agil Wahyu Royan Agung Nilogiri Ahmad Yusril Ghali Taufiqul Haq aji brahma nugroho, aji brahma Al Faruq, Habibatul Azizah Alfain, Asfik Amilia, Indi Rosifatul Anggar Wahyu Hadiyatullah Ardhi Fathonisyam Putra Nusantara Ardhi, Nusantara Fathonisyam Putra Ari Eko Wardoyo Ari Eko Wardoyo Arindha Dyah Permata Budi Satria Bakti Budi Satrio Bakti Chaidir, Reza Daryanto Daryanto Dasuki, Moh Dewi Lusiana Dimas D K Dimas Pradana Dodik Aris Setiawan Dodik Aris Setiawan Ega Yusni Habibie Firdaussani, Ahmad fitriyah, nur qodariah Fitriyah, Nur Qodariyah Ginanjar Abdurrahman Hadijatmiko, Hadijatmiko Hasbullah Hasbullah Hasbullah Hasbullah Hidayat, Muhammad Hafid Iftitah Sita Devi Andani Imam Alwi Bagas Suwa Irawan, Dudi Izzati Muhimmah Kiki Diah Ayu Puspita Luluk Handayani Luqman Hakim Lusiana, Dewi Marganingsih, Dirgahayu Maulana, Oka Wahyu Moh Khoirul Anam Moh. Dasuki Mokh Hairul Bahri Mubarok, Fikril Muh Nur I.F Muhammad Rivansyah Muhammad Zainur Ridlo Muharom, Lutfi Ali Mukti Sintawati Nanang Saiful Rizal Nely Ana Mufarida Nugroho, Dimas Widia Adi Probowulan, Diyah Qurrota A’yun Rahayu, Yeni Dwi Rahman Puji Handri Rahman, Miftahur Rais Nurwahyudin Rasuki, Muhlisin Rega Sukmawati Ria Angin, Ria Rizky, Mohammad Royan, Agil Wahyu Saifudin, Ilham Saputra, Septiyan Tri Septian Dwi Chandra Sofia Ariyani Sofia Rhosma Dewi Suharso, Wiwik Sulistyo, Henny Wahyu TAUFIQ HIDAYAT Taufiq Timur Warisaji Triawan Adi Cahyanto Ulya Anisatur Rosyidah Umar Dani Umilasari, Reni Warisaji, Taufiq Timur Wijaya, Guruh Zainul Arifin Zainul Arifin ZAINUL ARIFIN Zakiyyah, Amalina Maryam

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