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All Journal Media Mesin: Majalah Teknik Mesin INFORMAL: Informatics Journal Jurnal Teknik Sipil Bina Insani ICT Journal Information System for Educators and Professionals : Journal of Information System JTAM (Jurnal Teori dan Aplikasi Matematika) JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) JSAI (Journal Scientific and Applied Informatics) Jurnal Teknologi Informasi dan Terapan (J-TIT) Techno Xplore : Jurnal Ilmu Komputer dan Teknologi Informasi INTEGRITAS : Jurnal Pengabdian JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) G-Tech : Jurnal Teknologi Terapan Jurnal Computer Science and Information Technology (CoSciTech) Journal of Community Development Journal of Information System and Technology (JOINT) JIWAKERTA: Jurnal Ilmiah Wawasan Kuliah Kerja Nyata BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Abdimas Awang Long: Jurnal Pengabdian dan Pemberdayaan Masyarakat Indonesian Community Journal Dedikasi: Jurnal Pengabdian Kepada Masyarakat Jutech: Jurnal Teknologi Informasi INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Jurnal Informatika dan Teknologi Pendidikan Smart Techno (Smart Technology, Informatic and Technopreneurship) JUSTIFY : Jurnal Sistem Informasi Ibrahimy J-ENSITEC (Journal of Engineering and Sustainable Technology) Jurnal Aplikasi Sistem Informasi dan Elektronika Jurnal Penelitian Teknologi Informasi dan Sains Journal of Digital Literacy and Volunteering (JRSIKOM) Jurnal Riset Sistem Informasi dan Aplikasi Komputer JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia)
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Implementasi Manajemen Bandwidth Simple Queue Sebagai Optimalisasi Layanan Jaringan Internet Warga Menggunakan Metode NDLC Miftahur Rahman; Moh. Dasuki; Hardian Oktavianto
Computer Science and Information Technology Vol 5 No 1 (2024): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v5i1.6899

Abstract

Krajan Hamlet, one of the areas in Jember Regency, has built an RT-RW Net network which aims to make it easier for the community or residents there to use the internet network for education, work and so on at relatively low costs. However, there is a problem, namely that using the internet network often causes buffering and even the network goes down if used simultaneously because the bandwidth is not limited to each user or client. The solution is to carry out simple queue bandwidth management. The completion steps in this research use the Network Development Life Cycle (NDLC) method. Resulting in research that the simple queue bandwidth management that has been carried out can be applied to the RT/RW Net network infrastructure that has been built, it was proven that when conducting bandwidth testing there was no bandwidth that exceeded the maximum limit that had been determined, namely the 20 Mbps bandwidth provided by the ISP divided into 5 Mbps for the Admin and for each client, they get a bandwidth of 3 Mbps, and when testing the network quality based on QoS calculations it can be categorized as good.
Implementasi Teknik Clustering Berbasis Validasi Cluster Pada Data Stunting Oktavianto, Hardian; Fitriyah, Nur Qodariyah
Jurnal Teknologi Informasi (JUTECH) Vol 2 No 2 (2021): JUTECH: Jurnal Teknologi Informasi
Publisher : ITB Ahmad Dahlan Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32546/jutech.v2i2.1778

Abstract

Kecenderungan prevalensi status gizi balita di Jawa Timur mengalami penurunan dari tahun 2010 hingga tahun 2015. Sementara itu, menurut data Kementerian Kesehatan Republik Indonesia, persentase balita pendek di Jawa Timur pada tahun 2015 adalah sebesar 27,1%. Persentase tersebut menempatkan Provinsi Jawa Timur menjadi wilayah dengan persentase balita pendek tertinggi di Pulau Jawa. Data mining adalah penambangan yang mencirikan proses dalam menemukan informasi berharga dalam sekumpulan data yang sangat besar. Clustering merupakan salah satu cara untuk menganalisis data melalui pengelompokan objek data yang mirip satu sama lain dalam cluster yang sama dan berbeda dengan objek di cluster lain, sehingga setiap objek yang menjadi anggota cluster yang sama akan memiliki karakteristik yang lebih mirip satu sama lain dibandingkan dengan objek dari cluster berbeda. Salah satu metode clustering yang banyak digunakan adalah K-Means, yaitu metode clustering yang termasuk ke dalam jenis non-hierarchical. Penelitian ini melakukan pengelompokan kabupaten di provinsi Jawa Timur berdasarkan faktor – faktor yang mempengaruhi stunting melalui teknik data mining yaitu clustering yang secara khusus menerapkan algoritma K-Means dengan validasi cluster. Hasil dari penelitian ini adalah, bahwa dengan dataset yang ada, dan dengan menerapkan validasi cluster, maka diperoleh jumlah cluster optimal adalah sejumlah 10 cluster. Terdapat beberapa cluster yang hanya mempunyai 1 anggota, yaitu pada cluster 2, 4, dan 9, sedangkan anggota cluster terbanyak adalah pada cluster kelompok 7 yang mempunyai 11 anggota.
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

Abstract

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.
Gerakan Lansia Sehat dan Mandiri Melalui Healthy Home Service Hidayat, Cahya Tribagus; Dewi, Sofia Rhosma; Oktavianto, Hardian
Journal of Community Development Vol. 6 No. 1 (2025): August
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/comdev.v6i1.1291

Abstract

The aging population phenomenon that will occur in 2030-2050 will cause a shift in the elderly population with a dependency ratio that continues to increase. When someone reaches old age, they will face the peak of the human life cycle. The increasing number of older people will also cause various problems such as technical, medical, psychological, mental, and socio-economic problems. The various problems that arise if not managed properly will have an impact on the elderly, namely physical changes in the elderly, causing them to feel unable to do various activities as well as when they were young. This causes the elderly to become then demotivated and withdraw from the social environment. This condition requires special attention. These problems can reduce life expectancy in the elderly. The form of community empowerment for the elderly is the Healthy and Independent Elderly Movement (GLSM) through Healthy Home Service as a form of UKBM (Community-Based Health Efforts). Healthy Home Service provides services in the form of health education services, elderly cadre training, modality therapy, and telenursing services, as well as SIM-RS (Hospital Management Information System), which facilitates online-based health services and also accommodates a database that records data on the number of elderly diseases. The results of the activities obtained were an increase in the knowledge and attitudes of the elderly regarding achieving optimal quality of life by 96.66%. The knowledge and understanding of the elderly increased, in addition to an increase in the productivity of elderly companion cadres, along with the structure and main tasks for elderly companion cadres by 100%. Elderly cadres have understood their roles and duties.
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

Abstract

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

Abstract

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

Abstract

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

Abstract

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

Abstract

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

Abstract

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.  
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 Budi Satria Bakti Chaidir, Reza Daryanto Daryanto Dasuki, Moh Dewi Lusiana Dewi Lusiana Pater Dewi, Sofia Rhosma Dimas D K Dimas Nur Hazikin Dimas Pradana 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 Irawan, Dudi Izzati Muhimmah Kiki Diah Ayu Puspita 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 Permata, Arindha Dyah Probowulan, Diyah Qurotta A’yun Qurrota A’yun Rahayu, Yeni Dwi Rahman Puji Handri Rahman, Miftahur Rahman, MIftahur Rasuki, Muhlisin Rega Sukmawati Ria Angin, Ria Rizky, Mohammad Royan, Agil Wahyu Saifudin, Ilham Saputra, Septiyan Tri Septian Dwi Chandra Sofia Ariyani 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