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All Journal INFORMAL: Informatics Journal Jurnal Mantik Jurnal Informatika dan Rekayasa Perangkat Lunak JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) BERNAS: Jurnal Pengabdian Kepada Masyarakat Jurnal Computer Science and Information Technology (CoSciTech) Sibatik Journal : Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan MIMBAR INTEGRITAS JUSTIFY : Jurnal Sistem Informasi Ibrahimy Jurnal Aplikasi Sistem Informasi dan Elektronika JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia)
Moh. Dasuki
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Dentistry Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Neuroscience Nursing Public Health Social Sciences Veterinary Other

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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.
Rancang Bangun Aplikasi Smart Kids English Berbasis Mobile Dasuki, Moh; Abdurrahman, Ginanjar
INFORMAL: Informatics Journal Vol 8 No 3 (2023): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v8i3.38420

Abstract

Smart Kids English is a mobile-based learning media application that aims to help teachers and parents accompany children in learning English with different experiences by utilizing technology. The use of learning software is considered more effective because basically children use gadgets more often in their daily activities. Using learning software on gadget devices can also minimize the use of gadgets for unimportant applications such as playing games. The System Development Life Cycle in this research uses the Waterfall method, this method is used by many software developers. This research produces the Smart Kids English application with several basic features such as: pronunciation which is equipped with attractive images. Smart Kids English is equipped with a writing feature to train children in writing English. Smart Kids English is equipped with an animal sounds feature to increase children's insight into recognizing animal sounds in the environment around us. Smart Kids English is also equipped with a practice menu, the aim of which is to sharpen children's memory in remembering the material they have studied.
Optimasi Metode Certainty Factor Menggunakan Rank Order Centroid Pada Sistem Pakar Pendeteksi Turnover Intention Berbasis WEB Muhammad Maulana Akbar; Moh. Dasuki; Miftahur Rahman
Computer Science and Information Technology Vol 6 No 2 (2025): 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.v6i2.9869

Abstract

Turnover intention, or the tendency of employees to resign, poses a significant challenge for companies—especially when dealing with Generation Z, who tend to have lower job commitment and are more likely to switch jobs. This study aims to develop a web-based expert system to detect the level of employee turnover intention by integrating the Certainty Factor (CF) and Rank Order Centroid (ROC) methods. The CF method is used to handle uncertainty in questionnaire assessments, while ROC is implemented to optimize the weights among aspects, namely Thinking of Quitting, Intention to Search for Alternatives, and Intention to Quit. The system is built based on 36 questionnaire statements and tested on 34 respondents. The results show that the system provides more proportional and realistic interpretations compared to the non-optimized approach. Accuracy testing indicates that 27 out of 34 system results match manual assessments, yielding an accuracy rate of 79.41%. These findings suggest that the system performs reliably and can serve as a practical tool for the early detection of turnover intention in the workplace.
Klasifikasi Sentimen Positif dan Negatif Ulasan Aplikasi GetContact Dengan Algoritma Naïve Bayes Putri Nur Apriliyanti; Moh. Dasuki; Rahman, Miftahur
JUSTIFY : Jurnal Sistem Informasi Ibrahimy Vol. 4 No. 2 (2026): JUSTIFY : Jurnal Sistem Informasi Ibrahimy
Publisher : Fakultas Sains dan Teknologi, Universitas Ibrahimy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/justify.v4i2.9133

Abstract

Perkembangan teknologi informasi yang pesat telah mendorong meningkatnya interaksi pengguna dengan aplikasi digital, salah satunya melalui ulasan di platform Google Play Store. Ulasan pengguna terhadap aplikasi dapat mencerminkan kepuasan atau ketidakpuasan, yang bermanfaat bagi pengembang untuk evaluasi dan peningkatan layanan. Penelitian ini bertujuan untuk mengklasifikasikan sentimen positif dan negatif pada ulasan pengguna aplikasi GetContact dengan menerapkan algoritma Naïve Bayes. Data yang digunakan berupa 1000 ulasan berbahasa Indonesia yang dikumpulkan melalui teknik web scraping, kemudian diberi label oleh ahli bahasa. Tahapan penelitian meliputi preprocessing data seperti cleaning, tokenizing, case folding, stopword removal, punctuation removal, dan stemming. Setelah itu, dilakukan pembobotan fitur menggunakan metode Term Frequency-Inverse Document Frequency (TF-IDF), dilanjutkan dengan klasifikasi menggunakan Multinomial Naïve Bayes. Evaluasi performa model dilakukan dengan metrik akurasi, presisi, recall, dan f1-score. Hasil klasifikasi menunjukkan bahwa algoritma Naïve Bayes mampu mengklasifikasikan sentimen dengan tingkat akurasi sebesar 87%, presisi 0,87, recall 0,89, dan f1-score 0,88. Penelitian ini membuktikan bahwa Naïve Bayes merupakan algoritma yang efektif dan efisien dalam menganalisis sentimen ulasan aplikasi berbahasa Indonesia, serta dapat dijadikan referensi untuk pengembangan sistem analisis opini di masa depan.
Analisis Sentimen Terhadap Identitas Kependudukan Digital Menggunakan Algoritma Multinomial Naïve Bayes Alevia Mentari Putri; Rosita Yanuarti; Moh Dasuki; Agus Milu Susetyo
JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) Vol. 10 No. 2 (2025): JUSTINDO
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/justindo.v10i2.2777

Abstract

Inovasi baru dalam perkembangan teknologi kini pemerintah telah meluncurkan inovasi baru yaitu Identitas Kependudukan Digital berbasis digital melalui aplikasi yang dijadikan sebagai tujuan pemerintah dalam mengurangi cetak fisik KTP dan blangko sehingga lebih efisien dan mudah dalam mengakses identitas masyarakat dalam smartphone masing-masing dan digunakan untuk mengelola data identitas masyarakat. Aplikasi ini telah banyak menimbulkan pro dan kontra  dari masyarakat yang menilai sebuah aplikasi IKD ini dalam mendukung digitalisasi, sehingga tujuan dari penelitian ini diperlukan analisis sentimen untuk mengetahui penilaian serta ulasan masyarakat terhadap adanya IKD tersebut sehingga dapat dijadikan sebagai bahan evaluasi oleh pemerintah. Media sosial banyak yang digunakan dalam menyampaikan pendapat serta opini masyarakat tentag IKD ini terutama pada platform X atau Twitter, dengan pengambilan data dengan teknik crawling. Analisis pada platform X ini sangat penting karena menjadi sumber pengumpulan data yang cepat dan luas dari penyampaian masyarakat tentang IKD tersebut. Pendekatan penelitian ini menggunakan algoritma Multinomial Naive Bayes untuk mengklasifikasi analisis sentimen masyarakat. Dari hasil pengujian menggunakan K-Fold Cross Validation, didapatkan hasil tertinggi pada 10 Fold uji ke-8 dengan nilai akurasi tertinggi 95%, presisi 94% dan recall 100%, sehingga algoritma Multinomial Naive Bayes ini cocok untuk dijadikan sebagai metode analisis data.
Sentiment Classification of Aci Application Reviews Using N-Gram Features And Support Vector Machine (SVM) Algorithm Ageng Wijaya Kusuma; Moh. Dasuki; Wiwik Suharso
JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) Vol. 11 No. 1 (2026): JUSTINDO
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/justindo.v11i1.5020

Abstract

The transformation of information technology has created significant opportunities for the application of Natural Language Processing (NLP) in text-based sentiment analysis, particularly in exploring user opinions toward application-based services. This study aims to analyze the sentiment of user reviews of the ACI (Aku Cinta Indonesia) online motorcycle taxi application available on the Google Play Store by applying the N-gram method and the Support Vector Machine (SVM) algorithm. A total of 1,419 reviews were collected, and after data preprocessing and lexicon-based sentiment labeling, 239 final samples were obtained and categorized into positive and negative sentiments. Feature extraction was performed using combinations of unigram, unigram + bigram, and unigram + trigram, with Term Frequency–Inverse Document Frequency (TF-IDF) weighting. Furthermore, the classification process was carried out using a linear kernel Support Vector Machine with an 80:20 split between training and testing data. The experimental results show that the unigram+ bigram model achieved the highest accuracy of 96%, followed by unigram + trigram at 94% and unigram at 90%, with all precision, recall, and F1-score values across the three models exceeding 88%. These findings indicate that the unigram + bigram combination represents word context more effectively than unigram while remaining more efficient than unigram + trigram, thereby improving the sentiment classification accuracy of the SVM model without significantly increasing computational complexity.
Implementasi Manajemen Bandwidth Per Connection Queue (PCQ) untuk Meningkatkan Kualitas Layanan Jaringan Sekolah Moh. Iqbal Maulidani; Miftahur Rahman; Ginanjar Abdurrahman; Moh. Dasuki; Luluk Handayani
JUSTIFY : Jurnal Sistem Informasi Ibrahimy Vol. 5 No. 1 (2026): JUSTIFY : Jurnal Sistem Informasi Ibrahimy
Publisher : Fakultas Sains dan Teknologi, Universitas Ibrahimy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/justify.v5i1.10239

Abstract

Along with the increasing use of the internet in schools, stable and evenly distributed network Quality of Service (QoS) has become essential. The use of online learning applications, web-based administration systems, and Academic Competency Tests (TKA) increases network traffic, especially during peak hours, requiring effective bandwidth management. This study implements the Per Connection Queue (PCQ) method on a MikroTik router to distribute bandwidth automatically and proportionally across the network of SMP Negeri 3 Balung, preventing excessive bandwidth usage by certain users and maintaining stability during traffic spikes. The results show that before PCQ implementation, bandwidth distribution among clients was uneven. After implementing PCQ with a total bandwidth of 50 Mbps, bandwidth was automatically and evenly distributed among active clients. QoS analysis using Wireshark indicates that throughput increased from 654 Kbps to 764 Kbps, delay decreased from 12.93 ms to 10.63 ms, and packet loss remained at 0%. The implementation of PCQ-based bandwidth management proved effective in improving both bandwidth fairness and overall network service quality at SMP Negeri 3 Balung.
Edukasi Dasar Robotika melalui Pelatihan Pembuatan Robot Pendeteksi Benda bagi Siswa SMA Muhammadiyah 2 Wuluhan Moh. Dasuki; Dewi Lusiana; Miftahur Rahman
BERNAS: Jurnal Pengabdian Kepada Masyarakat Vol. 7 No. 3 (2026)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/jb.v7i3.17878

Abstract

Kegiatan Pengabdian kepada Masyarakat ini bertujuan untuk meningkatkan literasi teknologi dan pemahaman dasar robotika siswa SMA Muhammadiyah 2 Wuluhan melalui pelatihan pembuatan robot pendeteksi benda berbasis Arduino. Permasalahan mitra meliputi belum terintegrasinya pembelajaran robotika praktis, keterbatasan kompetensi guru, serta minimnya media pembelajaran berbasis praktik. Kegiatan dilaksanakan menggunakan pendekatan project-based learning berbasis praktik langsung yang mencakup analisis kebutuhan, pengembangan modul dan SOP, pelatihan guru, serta workshop perakitan dan pemrograman robot. Kegiatan dilaksanakan pada 9 Februari 2026 dengan melibatkan 19 siswa. Hasil menunjukkan bahwa sekitar 75% siswa mampu memahami konsep dasar sensor dan logika pemrograman, serta berpartisipasi aktif dalam perakitan robot. Dari dua unit robot yang dikembangkan, satu unit berfungsi optimal sebagai robot pendeteksi benda. Selain itu, dihasilkan luaran berupa perangkat robot edukatif dan modul pembelajaran yang dapat dimanfaatkan secara berkelanjutan. Kegiatan ini efektif sebagai pengenalan awal robotika dan berkontribusi dalam meningkatkan minat serta pemahaman siswa terhadap pembelajaran berbasis STEM. Model pelatihan ini layak diadopsi sebagai alternatif pembelajaran inovatif di lingkungan sekolah.
PENGEMBANGAN SARANA DAKWAH BERBASIS DIGITAL PADA PCM BANGSALSARI JEMBER Miftahur Rahman; Amalina Maryam Zakiyyah; Moh. Dasuki
MIMBAR INTEGRITAS : Jurnal Pengabdian Vol 4 No 2 (2025): AGUSTUS 2025
Publisher : Biro Administrasi dan Akademik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36841/mimbarintegritas.v4i2.6216

Abstract

PCM Bangsalsari saat ini masih belum mengembangkan metode dakwah dengan cara digital sehingga penyampaian dakwah hanya dapat dirasakan oleh warga yang hadir secara langsung dalam mengikuti kajian atau kegiatan yang lingkupnya sangat terbatas. Selain belum dikembangkannya media digital, PCM Bangsalsari belum memiliki sumber daya yang dapat mendukung sarana dakwah secara digital. Sumber daya dimaksud mencakup kemampuan dan pengetahuan anggota dalam mengelola konten dakwah secara digital. Oleh karena itu, diperlukan pengembangan sarana dakwah berbasis digital agar penyampaian dakwah dapat dilakukan secara global. Tujuan program pengabdian ini adalah tim pengabdian Unmuh Jember akan mengembangkan media sosial sebagai sarana dakwah berbasis digital dan memberikan pelatihan pengelolaan media sosial bagi PCM Bangsalsari sebagai mitra. Dalam hal ini, platform yang akan digunakan adalah media sosial Instagram, Facebook, dan Youtube. Tahapan yang dilakukan pada pengabdian ini dimulai dari persiapan, pembuatan social media sebagai sarana dakwah berbasis digital, dan pelatihan pengelolaan konten dakwah digital. Menghasilkan pengabdian bahwa Tim PKM dapat mengembangkan dakwah berbasis digital dengan memanfaatkan sosial media meliputi: instagram, facebook, dan youtube. Sehingga PCM Bangsalsari saat ini telah memiliki akun resmi sosial media. Serta meningkatnya pemahaman dan keterampilan sumber daya manusia dalam mengelola konten sosial media sebagai sarana dakwah berbasis digital.
Penerapan Algoritma Convolution Neural Network untuk Klasifikasi Jenis Cabai Berdasarkan Warna dan Bentuk buah Rizal Abdur Rohman; Moh. Dasuki; Lutfi Ali Muharom; Miftahur Rahman
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 6 No. 2 (2024): September
Publisher : Universitas Wahid Hasyim

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

Abstract

Chili is one of the main agricultural commodities in Indonesia with significant economic value. Various types of chili, such as large chili, bird's eye chili, and green chili, are often difficult to distinguish manually due to their physical similarities. To support advancements in the agricultural sector, this study utilizes artificial intelligence technology, specifically the Convolutional Neural Network (CNN) with VGG-16 architecture, to automatically identify chili types through image analysis based on color and shape. This study aims to measure the accuracy, sensitivity, and specificity of the model in classifying chili types. The results show that the VGG-16 architecture achieved 100% accuracy in training data testing, indicating the model’s ability to detect and classify chili types optimally. In the model evaluation (fold 5), the accuracy was 91.8%, sensitivity was 88%, and specificity was 93.8%. This study confirms that CNN with VGG-16 is effective for image classification, especially when test data shares similar characteristics with training data. This system offers significant potential for application in the agricultural sector, particularly in improving the efficiency and accuracy of identifying other agricultural commodities.
Co-Authors Achmad Haris Ageng Wijaya Kusuma Agung Nilogiri Agus Milu Susetyo Alevia Mentari Putri Alif Faiz Risqullah Arifianto, Deni Bagus Setya Rintyarna Dedi Setiawan Dewi Lusiana Fahadaena, Rinaldi Nur Ginanjar Abdurrahman Ginanjar Abdurrahman Luluk Handayani Miftahur Rahman Moh. Iqbal Maulidani Muhammad Maulana Akbar Muharom, Lutfi Ali Oktavianto, Hardian Putri Nur Apriliyanti Rahman, Miftahur Riska Dwi Ayu Lestari Rizal Abdur Rohman Rosyidah, Ulya Anisatur Suharso, Wiwik Syarif Hidayatullah Yanuarti, Rosita Zakiyyah, Amalina Maryam