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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Jurnal Teknologi Informasi dan Ilmu Komputer Journal of Information Systems Engineering and Business Intelligence Sistemasi: Jurnal Sistem Informasi JOIV : International Journal on Informatics Visualization Tech-E Abdimas Dewantara JURNAL INSTEK (Informatika Sains dan Teknologi) Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat Jurnal Tekno Kompak Abdi-Dharma JSITIK: Jurnal Sistem Informasi dan Teknologi Informasi Komputer Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Daniawan, Benny
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Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Social Sciences Other

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ANALISIS DAMPAK PELATIHAN MICROCONTROLLER BERBASIS ARDUINO DI SMA PERGURUAN BUDDHI Dethan, Jacob Febryadi Nithanel; Daniawan, Benny; Rino, Rino; Hariyanto, Susanto; Wijaya, Ardie; Safitri, Ramona; Lasut, Desiyanna; Arijanto, Rudy; Fennita, Fennita
Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat Vol 4, No 3 (2020)
Publisher : Universitas Ahmad Dahlan, Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jp.v4i3.1281

Abstract

Perkembangan teknologi saat ini yang telah mencapai era industri 4.0 mendorong terjadinya perubahan gaya hidup manusia yang lebih tergantung dengan teknologi. Untuk itu, siswa SMA harus diberikan pemahaman terkait perkembangan teknologi. Salah satu cara yang dapat ditempuh adalah dengan mengadakan pelatihan terkait sistem otomasi yang dalam hal ini dapat diajarkan menggunakan microcontroller Arduino. Dalam pelatihan yang telah diselenggarakan, kami melihat minat besar yang muncul dari peserta pelatihan yang dapat dinilai dari hasil pengisian kuesioner yang diberikan ke peserta. Dari maksimum 152 responden, 61,6% peserta menyatakan bahwa pelatihan ini menarik dan 30,5% menjawab sangat menarik. Kemudian, 57,9% responden menjawab pelatihan ini bermanfaat dan 40,1% menyatakan bahwa pelatihan ini sangat bermanfaat. Selain itu, kami juga mengadakan survei terpisah untuk melihat minat siswa dari jurusan IPS dan secara mengejutkan kami temukan bahwa 65,3% siswa IPS menyatakan bahwa pelatihan ini menarik dan 29,2% menyatakan sangat menarik. Mayoritas siswa IPS juga menjawab bahwa pelatihan ini bermanfaat (58,3%) dan sangat bermanfaat (40,3%). Sehingga, kami menemukan adanya peningkatan minat siswa untuk mempejari sistem otomasi secara signifikan karena 90,7% dari total peserta belum pernah mempelajari Arduino sebelumnya.
Sistem Informasi E-Commerce Berbasis Website Dengan Metode Pengujian User Acceptance Testing Yakub, Handoyo; Daniawan, Benny; Wijaya, Andri; Damayanti, Lily
JSITIK: Jurnal Sistem Informasi dan Teknologi Informasi Komputer Vol. 2 No. 2 (2024): Juni 2024
Publisher : Cipta Media Harmoni

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53624/jsitik.v2i2.362

Abstract

CV. Jaya Prima adalah sebuah usaha yang proses bisnis utamanya bergerak pada bidang bahan plastik seperti sarung tangan plastik, plastik sampah, wadah mika dan bahan plastik lainnya. Perusahaan memiliki permasalahan penting pada proses penjualan yang berjalan saat ini masih bersifat konvensional sehingga menghambat dalam proses transaksi. Tujuan dari penelitian ini adalah memberikan solusi bagi permasalahan penjualan konvensional yang terjadi dengan merancang suatu sistem e-commerce berbasis web agar pelanggan dapat melakukan pemesanan secara online. Urgensi dari penelitian ini adalah dengan melakukan adopsi e-commerce, perusahaan dapat mempercepat proses transaksi, meningkatkan efisiensi, dan memperluas jangkauan pasar, sehingga hasil dari penelitian ini berupa sistem e-commerce dapat digunakan oleh pelanggan untuk melakukan pemesanan secara online sekaligus mempermudah proses promosi dan transaksi bisnis kepada pelanggan. Metode pengujian sistem yang digunakan User Acceptance Testing (UAT), dimana hasil pengujian didapatkan nilai rata-rata sebesar 92,3% yang menunjukan bahwa sistem informasi E-Commerce berbasis website telah sesuai dengan kebutuhan Pengguna. 
Enhancing Employee Motivation: A TOPSIS-Based Decision Support System for Incentive Allocation through Performance Evaluation Sutyawati, Yuke Subaikah; Daniawan, Benny
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 16, No 1 (2024): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v16i1.23921

Abstract

Information technology is developing rapidly and has a significant role in various aspects, one of which is making decisions to evaluate employee performance. Employee performance assessment is an important activity and is often carried out by companies to determine employee performance in a certain period. A company's progress is greatly influenced by the good and bad of the system that is running. The decision support system can improve and influence the assessment of existing performance in the company. If the decision support system is inadequate, it can lead to errors in decision-making. This research was conducted at PT. App Inti provides enthusiasm and motivation to employees, and the company performs performance assessments every six months, which will influence the adjustment of employee salary increases. However, the current assessment process still uses simple methods and often experiences difficulties assessing performance, making the assessments less effective. Because errors and inaccuracies often occur during assessments, to make it easier for companies to make decisions and help solve these problems, a decision support system was designed using the TOPSIS method. The TOPSIS is a multi-attribute decision-making method often used to complete practical decisions. Then, the results can be considered and help the company determine a decision based on the alternatives and criteria that the company has decided. Then, the results of this research can help companies determine which employees are more visible during the assessment. Then, the TOPSIS ranking results are used to adjust salary increases that have been selected by the company, thereby helping companies make decisions more quickly.Keywords: Performance Appraisal, Decision Support System, TOPSIS
SISTEM INFORMASI MANAJEMEN DONASI PADA PANTI ASUHAN MENGGUNAKAN METODE PENGUJIAN TECHNOLOGY ACCEPTANCE MODEL (TAM) Kusnadi, Michael Putra; Daniawan, Benny
Jurnal INSTEK (Informatika Sains dan Teknologi) Vol 9 No 2 (2024): OCTOBER
Publisher : Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Alauddin, Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/instek.v9i2.51005

Abstract

Perkembangan sistem informasi panti asuhan yang terintegrasi dan dapat diakses secara online melalui website menjadi penting untuk meningkatkan efektivitas operasional. Dalam upaya untuk mengatasi permasalahan tersebut, penelitian ini mengusulkan perancangan Sistem Informasi Manajemen Donasi Panti Asuhan. Dengan adanya sistem tersebut dapat merangkul berbagai panti asuhan di Kota Tangerang untuk menyediakan platform terpadu dan mudah digunakan, memfasilitasi pengelolaan donasi, serta meningkatkan partisipasi dan keterlibatan donatur. Metode pengujian Technology Acceptance Model (TAM) dalam mengukur faktor yang dapat mempengaruhi pengguna dalam menggunakan sistem. Hasil uji hipotesis 1 yaitu Attention Toward Using (ATU) berpengaruh terhadap Behavioral Intention to Use (BITU), hipotesis 2 yaitu Perceived Ease of Use (PEOU) berpengaruh terhadap Attention Toward Using (ATU), hipotesis 3 yaitu Perceived Ease of Use (PEOU) berpengaruh terhadap Perceived Usefulness (PU), hipotesis 5 yaitu Perceived Usefulness (PU) berpengaruh terhadap Behavioral Intention to Use (BITU) dan hipotesis 4 yaitu Perceived Usefulness (PU) tidak berpengaruh terhadap Attention Towards Using (ATU).
Optimizing Convolutional Neural Networks with Particle Swarm Optimization for Enhanced Hoax News Detection Hermawan, Aditiya; Lunardi, Lidya; Kurnia, Yusuf; Daniawan, Benny; Junaedi
Journal of Information Systems Engineering and Business Intelligence Vol. 11 No. 1 (2025): February
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jisebi.11.1.53-64

Abstract

Background: The global spreading of hoax news is causing significant challenges, by misleading the public and undermining public trust in media and institutions. This issue is worsened by the rapid spreading of misinformation which is facilitated by digital platforms, triggering social unrest and threatening national security. To overcome this problem, reliable and robust method is essential to adapt to the evolving tactics of misleading information spreading. Objective: This study aimed to improve the accuracy of hoax news detection tools by evaluating the effectiveness of Deep Learning methods enhanced with Convolutional Neural Networks (CNNs) using Particle Swarm Optimization (PSO). Methods: The dataset was processed by tokenization, stopword removal, and stemming. CNNs were trained with default parameters, due to their potential as one of the effective methods for text classification. Furthermore, PSO was used to optimize the main parameters such as filters, kernel sizes, and learning rate, which was refined iteratively based on validation accuracy. Results: The optimized CNNs+PSO was further tested by data training to show its effectiveness in detecting hoax news and misleading articles. The result showed that the optimized CNNs+PSO model had high effectiveness, by achieving accuracy rate of 92.06%, precision 91.6%, and recall 96.19%. These values validated the model’s ability to classify hoax news in Indonesian accurately. Conclusion: This study showed that the optimized CNNs+PSO method was highly effective in detecting hoax news and misleading articles by achieving impressive accuracy, precision, and recall rate. The integration showed the potential of CNNs+PSO to mitigate the impacts of hoax news, enhance public awareness, and promote people to critically believe the news Keywords: Convolutional Neural Networks, Deep Learning, Hoax, Particle Swarm Optimization, Text Mining
Pemodelan Pengaruh E-Learning Pada Performa Akademik Mahasiswa Dengan Technology Acceptance Model Dan Analisis Structural Equation Modelling Daniawan, Benny; Wijono, Sutarto; Manongga, Danny; Sembiring, Irwan; Krismiyati, Krismiyati; Wellem, Theophilus
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 12 No 3: Juni 2025
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2025128229

Abstract

E-learning telah menjadi alat yang penting dalam pendidikan tinggi, memungkinkan perguruan tinggi untuk menyediakan aksesibilitas dan fleksibilitas dalam pengajaran dan pembelajaran. Salah satu platform e-learning yang populer adalah Moodle yang digunakan oleh banyak universitas di indonesia. Namun, penggunaan Moodle di universitas belum banyak diteliti secara mendalam, terutama dalam konteks pengaruh e-learning terhadap indeks prestasi akademik. Oleh karena itu, penelitian ini bertujuan untuk melakukan pengujian e-learning Moodle di lingkungan Universitas Buddhi Dharma yang berlokasi di Tangerang dengan metode Technology Acceptance Model (TAM) menggunakan lima variabel Perceive Usefulness (PU), Perceive Ease of Use (PEOU), Attention Towards Using (ATU), Behaviour Intention to Use (BITU), dan Actual System Using (ASU) ditambah dengan dua variabel lain yaitu Level of Confidence (LC) dan Academic Performance (AP). Seluruh variabel dianalisis menggunakan Structural Equation Modelling (SEM). Hasilnya menunjukkan bahwa persepsi kemudahan penggunaan (PEOU), dan persepsi kebermanfaatan (PU) memiliki pengaruh positif secara signifikan terhadap sikap (ATT) dan niat perilaku pengguna (BITU) serta aktual penggunaan sistem (ASU) dalam Moodle sebagai platform e-learning dengan nilai t-statistik yang melebihi nilai t-tabel dan p-value. Namun dalam hal ini penerimaan teknologi e-learning yang baik tidak mempengaruhi tingkat kepercayaan diri (LC) dan performa akademik pengguna (AP) secara aktual.   Abstract E-learning has become an essential tool in higher education, enabling universities to provide accessibility and flexibility in teaching and learning. One of the popular e-learning platforms is Moodle, which many universities in Indonesia use. However, the use of Moodle at universities has yet to be studied in depth, especially in the context of the influence of e-learning on the academic performance index. Therefore, this research aims to test Moodle e-learning in the Buddhi Dharma University environment located in Tangerang using the Technology Acceptance Model (TAM) method using the five variables Perceive Usefulness (PU), Perceive Ease of Use (PEOU), Attention Towards Using (ATU), Behavioral Intention to Use (BITU), and Actual System Using (ASU) plus two other variables, namely Level of Confidence (LC) and Academic Performance (AP). All variables were analyzed using Structural Equation Modeling (SEM). The results show that perceived ease of use (PEOU) and perceived usefulness (PU) have a significant positive influence on attitudes (ATT) and user behavioral intentions (BITU) as well as actual system use (ASU) in Moodle as an e-learning platform with a value of t -statistics that exceed the t-table value and p-value. However, in this case, a good acceptance of e-learning technology does not affect the Confidence Level (LC) and user Academic Performance (AP).
Pelatihan Internet of Things (IoT) dalam peningkatan kompetensi siswa multimedia di SMK Perguruan Buddhi Akbar, Junaidi; Rino, Rino; Safitri, Ramona Dyah; Lasut, Desiyanna; Hariyanto, Susanto; Fenriana, Indah; Daniawan, Benny
ABDIMAS DEWANTARA Vol 7 No 1 (2024)
Publisher : Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/ad.v7i1.16938

Abstract

Pelatihan Internet of Things (IoT) menjadi bagian penting dalam pengembangan kompetensi siswa jurusan multimedia di SMK Perguruan Buddhi. Era digital menuntut adanya pemahaman mendalam terhadap integrasi teknologi dan IoT menjadi pondasi utama dalam menghadapi tantangan tersebut. Tujuan pelatihan ini untuk meningkatkan keterampilan teknis dan kreativitas melalui integrasi IoT. Metode pelatihan mencakup serangkaian persiapan, pelaksanaan dan evaluasi. Pelatihan dirancang khusus untuk memahamkan siswa pada konsep-konsep dasar IoT, pengembangan perangkat keras dan aplikasi berbasis IoT, pelatihan ini diikuti oleh 32 peserta, hasil dari pelatihan ini melalui responden peserta dengan mengisi angket kuesioner, dari segi pengenalan coding didapat nilai 100% peserta telah mengenal coding, segi pengenalan IoT didapat nilai 37% mengenal IoT dan 63% belum mengenal IoT, segi pemaparan materi IoT menarik atau jelas 97% dengan jelas dan 3% tidak jelas, segi ketertarikan belajar IoT lebih lanjut 72% dengan ingin melanjutkan dan 28% tidak ingin melanjutkan. Peserta antusias menyelesaikan project - project yang diberikan dalam mengikuti pelatihan, serta mereka mendapatkan pengetahuan dan kemampuan baru terkait dengan teknologi IoT dan implementasinya.   Internet of Things (IoT) training improving the competence of multimedia students SMK Perguruan Buddhi   Abstract: Internet of Things (IoT) training is an important part of developing the competence of students majoring in multimedia at SMK Perguruan Buddhi. The digital era requires a deep understanding of technology integration, and IoT is the main foundation for facing these challenges. This training aims to improve technical skills and creativity through IoT integration. The training method includes preparation, implementation, and evaluation. The training was specifically designed to familiarize students with the basic concepts of IoT, hardware development, and IoT-based applications. Thirty-two participants attended this training. The respondents, by filling out a questionnaire in terms of the introduction of coding obtained a value of 100% of participants knew coding, terms introduction to IoT obtained a value of 37% knew IoT and 63% did not know IoT, terms of exposure to IoT material interesting or clear 97% with clear and 3% not clear, terms of interest in learning further IoT 72% with want to continue and 28% do not want to continue. Participants were enthusiastic about completing the projects given in the training, and they gained new knowledge and skills related to IoT technology and its implementation.
Analisis Perancangan Sistem Informasi Pelayanan Perbaikan Hardware Komputer Berbasis Website Menggunakan Metode Backward Chaining Miechael, Miechael; Daniawan, Benny
Jurnal Tekno Kompak Vol 18, No 1 (2024): FEBRUARI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jtk.v18i1.3441

Abstract

Perkembangan sistem informasi (SI) dan teknologi informasi (TI) sangat pesat. Kemajuan SI dan TI berperan penting terhadap kinerja suatu organisasi atau perusahaan menjadi lebih efektif dan efisien. Kegiatan yang sebelumnya mengharuskan bertatap muka, saat ini dituntut agar dapat dilakukan tanpa harus bertemu secara langsung. Layanan berbasis online saat ini benyak bermunculan, layanan tersebut dapat menjangkau pelanggan secara langsung dan mempermudah setiap aktifitas yang dilakukan. Kecepatan dan kehandalan proses layanan menjadi hal utama yang diperhatikan penuh oleh organisasi atau perusahaan karena berpengaruh pada kepuasan pelanggan. Oleh karena itu untuk dapat meningkatkan kualitas layanan yang dimiliki CV. ONG COMPUTER khususnya dalam proses konsultasi, tracking progres pengerjaan, dan pemberian informasi mengenai status unit. Maka dibuat sebuah sistem usulan berbasis website yang menggunakan metode Backward Chaining agar sistem bisa mengenali kerusakan berdasarkan keluhan pelanggan, dan dapat membantu teknisi dalam proses pemberian informasi kepada pelanggan, serta tracking progres pengerjaan unit yang diperbaiki. Hasil dari pengujian sistem menggunakan metode Technology Acceptance Model (TAM) terhadap 76 responden dengan nilai standar t-table sebesar 1,994 menunjukan hasil bahwa variabel Perceived Usefulness (PU) tidak berpengaruh terhadap Attitude Toward Using (ATU) sebesar 1,443, PU berpengaruh terhadap Behavioral Intention to Use (BITU) sebesar 4,650, Perceived Ease of Use (PEOU) berpengaruh terhadap ATU sebesar 2,829, ATU bepengaruh terhadap BITU sebesar 6,785, sedangkan BITU berpengaruh terhadap Actual System Use (ASU) sebesar 15,326.Kata Kunci: Sistem Informasi Perbaikan, Sistem Rekomendasi Perbaikan Hardware Komputer, Backward Chaining, Technology Acceptance Model, Behavior Intention to Use
Optimization of Multimodal Deep Learning for Depression Detection Hermawan, Aditiya; Daniawan, Benny; Edy, Edy; Nathaniel, Joese
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 19, No 4 (2025): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.111407

Abstract

Depression is a complex and often underdiagnosed mental health condition that manifests through subtle verbal, acoustic, and behavioral cues. Traditional unimodal detection systems struggle to capture the full spectrum of depressive symptoms, often leading to inaccurate or incomplete assessments. This study proposes a multimodal deep learning framework that integrates textual, audio, and visual modalities to improve the robustness and reliability of automatic depression detection, achieving an overall classification accuracy of 74%. The approach prioritizes privacy and interpretability by using facial keypoints and gaze direction rather than raw video frames, and applies attention mechanisms to align and fuse features across modalities. Each modality is processed through dedicated neural architectures tailored to its data type, and their outputs are combined within a fusion model that learns to capture cross-modal emotional patterns. Experimental results demonstrate that the proposed multimodal system significantly outperforms its unimodal counterparts in terms of classification performance. The visual modality was found to contribute most strongly to detection accuracy, as confirmed by ablation analysis. These findings highlight the value of multimodal integration in capturing complex psychological signals and support the development of intelligent, non-invasive screening tools for use in digital mental health applications.
Singme Music Entertainment Services Marketing Information System with Content-Based Filtering Method and TAM Testing Darmawan, Ivander; Daniawan, Benny
Tech-E Vol. 7 No. 1 (2023): TECH-E (Technology Electronic)
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/te.v7i1.1500

Abstract

With the times, the website used as marketing and sales media, which developed into E-Commerce. In 2019, there was 16,277 businesses used the E-Commerce concept, and also the value of Gross Domestic Product (GDP) was about 5.07%. Furthermore, because of the Coronavirus Disease (COVID) pandemic, the GDP decreased to -2.07% In 2020 and even impacted 10 out of 17 business sectors. Music entertainment business was also impacted by the pandemic, because during the pandemic, the government restricted certain public activities. Therefore, this system named Singme will help singers or music groups to market their services and provide related information for the public. Searching the services in Singme will be assisted by using Content-Based Filtering (CBF) method, it will give the recommendations of the services which have correlations with the keywords. Using Technology Acceptance Model (TAM) to test 122 feedback data about Singme with SmartPLS application v3.2.9. As the results, all hypotheses are acceptable because each t-statistic value > t-table value (1.981), and also each p-value < 0.05. Which PEOU influences PU by 34.3%, PU and POEU influence ATU by 50.7%, PU and ATU influence BITU by 56.1%, and BITU influences ASU by 52.3%.
Co-Authors Aditiya Hermawan Akbar, Junaidi Andri Wijaya Arijanto, Rudy Ceng Giap, Yo Damayanti, Lily Danny Manongga Darmawan, Ivander Dethan, Jacob Febryadi Nithanel Edy Edy Fennita, Fennita Fenriana, Indah Hariyanto, Susanto Haryani Haryani Irwan Sembiring Joko Siswanto JUNAEDI Juniar, Diana Krismiyati Kusnadi, Michael Putra Lasut, Desiyanna Lunardi, Lidya Miechael, Miechael Nathaniel, Joese Noviany, Caroline Pipit Rusmandani, Pipit Ramona Safitri, Ramona Riki Rino Rino Rino Sutarto Wijono Sutyawati, Yuke Subaikah Suwitno Suwitno Suwitno, Suwitno Theopillus J. H. Wellem Wijaya, Ardie Willy Wijaya, Willy Wydiastuty Kusuma, Lianny Yakub, Handoyo Yusuf Kurnia, Yusuf