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All Journal POSITIF JURNAL REKAYASA TEKNOLOGI INFORMASI Justek : Jurnal Sains Dan Teknologi INTEK: Informatika dan Teknologi Informasi Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Community Empowerment Jurnal Pengabdian Masyarakat JSITIK: Jurnal Sistem Informasi dan Teknologi Informasi Komputer Holistik Analisis Nexus ABDIMASTEK SMART : Jurnal Teknologi Informasi dan Komputer
Dewi Chirzah
Universitas Muhammadiyah Purworejo, Purworejo, Indonesia
Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Other

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Assistance in improving the quality of financial management of the oyster mushroom business for the disable persons at DPO Restu Abadi Purworejo Hesti Respatiningsih; Nur Siyami; Rizki Dewantara; Dewi Chirzah; Arkan Salsabila Asegaf; Hilda Nova Indira
Community Empowerment Vol 8 No 11 (2023)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ce.10349

Abstract

This community service activity is undertaken to enhance the quality of financial management, aiming to attain financial independence for members of business groups with disabilities. The approach involves training and mentoring, engaging both academics and practitioners specializing in financial literacy and inclusion. The success of this service program is evident in the increased knowledge and skills of the partners, encompassing the preparation of plans, business financial reports, financial literacy, and inclusion. Additionally, there has been an improvement in partners' access to financial institutions. The challenges of partner indiscipline in recording finances and pricing strategy problems can be effectively addressed through the use of the SIMAKE application. This application facilitates easy recording of transactions and determination of product prices.
PERANCANGAN TOPOLOGI JARINGAN LAB KOMPUTER DI SDIT SALSABILA 5 PURWOREJO MENGGUNAKAN CISCO PACKET TRACER Chirzah, Dewi; Shururi, Anindito Fakhri
Holistik Analisis Nexus Vol. 1 No. 7 (2024): Juli 2024
Publisher : PT. Banjarese Pacific Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62504/nexus802

Abstract

Perkembangan teknologi informasi telah menjadi pendorong utama kemajuan lembaga pendidikan. Jaringan komputer adalah salah satu komponen penting dalam pertukaran informasi di dunia pendidikan. Laboratorium komputer, sesuai dengan kebijakan pendidikan nasional, berfungsi untuk mengembangkan keterampilan siswa dalam teknologi informasi dan komunikasi. SDIT Salsabila berencana untuk merancang laboratorium komputer yang memperhatikan batasan akses internet, pemantauan aktivitas pengguna, dan kemudahan pemeliharaan jaringan. Topologi jaringan star dipilih karena kehandalannya dalam jaringan lokal. Cisco Packet Tracer digunakan sebagai alat untuk merancang dan mensimulasikan jaringan, sehingga memudahkan implementasi dan pemeliharaan. Diharapkan perancangan ini akan memberikan dampak positif pada kemajuan pendidikan dan membantu siswa mencapai kompetensi yang diinginkan.
Pengenalan Karakter Optikal Aksara Jawa Menggunakan Connectionist Temporal Classification Hidayatullah, Ridwan; Saputro, Wahju Tjahjo; Chirzah, Dewi
INTEK : Jurnal Informatika dan Teknologi Informasi Vol. 7 No. 2 (2024)
Publisher : Program Studi Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37729/intek.v7i2.5750

Abstract

Aksara Jawa memiliki sejarah panjang dan penting di Pulau Jawa. Sampai saat ini aksara Jawa banyak digunakan untuk obyek penelitian. Salah satunya menggunakan aplikasi OCR. Penelitian ini bertujuan mengembangkan model OCR untuk aksara Jawa menggunakan Metode CTC (Connectionist Temporal Classification. Pengumpulan dataset diambil dari Wikipedia, kemudian diubah ke dalam aksara Jawa menggunakan aplikasi transliterasi. Selanjutnya teks aksara Jawa diubah menjadi gambar dan pelatiha menggunakan Metode CTC. Penelitian ini memilih Metode CTC karena mampu mengatasi masalah pelabelan urutan yang tidak sejajar, dengan memprediksi urutan karakter langsung dari input gambar. Dataset akhir terdiri dari 25.038 buah teks yang diubah ke dalam gambar dengan resolusi acak dan seragam. Model seragam menunjukkan kinerja lebih baik dari pada model acak dalam pengenalan gambar aksara Jawa, dengan mean edit distance, train loss, dan validation loss yang lebih rendah. Model seragam efektif dan baik untuk data gambar seragam, sementara model acak lebih fleksibel untuk data berbagai ukuran gambar. Peningkatan ukuran dataset meningkatkan performa kedua model.
Penyuluhan Kemasan Labeling Produk dan Perijinan Bagi Usaha Mikro Kecil dan Menengah Sebagai Daya Saing Pasar Dewi Chirzah; Tjahjo Saputro, Wahju
ABDIMASTEK Vol. 3 No. 1 (2024): Juli
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/abdimastek.v3i1.2329

Abstract

Kegiatan penyuluhan dengan topik kemasan labeling dan legalitas usaha berbasis Aplikasi OSS sangat penting. Karena masyarakat desa sangat awam bagaimana cara mengurus legalitas usaha, menggunakan Aplikasi OSS, memilih jenis label dan kemasan. Tim pengabdi dibantu mahasiswa bekerjasama dengan pihak Desa Krandegan mengadakan kegiatan mengundang 10 peserta yang telah melalui tahap seleksi dan menjalankan usaha paling sedikit tiga bulan. Metode yang digunakan dalam pengabdian ini berbentuk penyuluhan dan pendampingan secara langsung di balai desa Krandegan. Pelaksanaan diselenggarakan pada tanggal 5 – 7 Juni 2024. Dimana tanggal 5 Juli 2024 kegiatan penyuluhan untuk 10 peserta, tanggal 6 Juni 2024 pengurusan legalitas usaha NIB (Nomor Induk Berusaha) dengan Aplikasi OSS dan tanggal 7 Juni 2024 serah terima dokumen usaha. Hasil akhir dari kegiatan penyuluhan dan pendampingan menunjukkan antusias peserta dari 10 undangan dapat hadir semua. Dari 10 peserta teridentifikasi 3 peserta telah memiliki sertifikat halal namun belum memiliki NIB dan P-IRT. Kemudian 2 peserta tidak mengajukan legalitas usaha dengan alasan usaha yang digeluti merasa belum siap. Selanjutnya 5 peserta berhasil diuruskan NIB (Nomor Induk Berusaha) yang diterbitkan Aplikasi OSS.
Image Optimization of Ancient Arabic Manuscripts with a Combination of Image Enhancement and Sharpening S. Widihasaniputri, Hanifatus; Tjahjo Saputro, Wahju; Chirzah, Dewi
SMART : Jurnal Teknologi Informasi dan Komputer Vol. 4 No. 1 (2025): January-June 2025
Publisher : Gayaku Publisher

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

Abstract

Ancient manuscripts are rare collections owned by every nation in theworld. The contents of a written text or document often also provideinformation on aspects of the nation's culture of the community concerned.Various efforts have been made to conserve these cultural objects, such asdigitizing manuscripts into digital images. This study aims to improve theimage of the ancient Arabic script using image enhancement and sharpeningmethods. The image enhancement used in this study is the gamma methodand the log transformation method combined using the sharpening method.The results showed that the sharpening method could improve the legibilityof an ancient manuscript.
Analisis Kualitas Website Desa Krandegan Terhadap Kepuasan Pengguna Dengan Metode Webqual 4.0 Dan End-User Computing Satisfaction (EUCS) Nur Firmansyah, Rendy; Murhadi; Dewi Chirzah
POSITIF : Jurnal Sistem dan Teknologi Informasi Vol 11 No 1 (2025): Positif : Jurnal Sistem dan Teknologi Informasi
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/positif.v11i1.15189

Abstract

The advancement of information technology has encouraged the use of village websites as a means of digital public service. The Krandegan Village Website aims to deliver information and services to the community, but its quality needs to be evaluated in terms of user satisfaction. This study aims to analyze the influence of website quality on user satisfaction using the WebQual 4.0 and End-User Computing Satisfaction (EUCS) methods. WebQual 4.0 includes the dimensions of usability, information quality, and service interaction quality, while EUCS adds the timeliness dimension. This research employed a quantitative approach by distributing questionnaires to 100 website users. Data were analyzed using Structural Equation Modeling (SEM) with SmartPLS 4. The results indicate that usability (t-statistic = 4.987) and timeliness (t-statistic = 4.103) significantly affect user satisfaction. Meanwhile, information quality (t-statistic = 1.976) and service interaction quality (t-statistic = 2.214) also show positive but less significant effects. These findings highlight the importance of timely information updates and a user-friendly interface. Recommendations are given to improve website navigation, design, and service interaction to support a more responsive and effective digital public service system.
Optimalisasi Kinerja Jaringan WLAN di SMK TI Kartika Cendekia Menggunakan Metode Quality Of Service Shururi, Anindito Fakhri; Murhadi, Murhadi; Chirzah, Dewi
JSITIK: Jurnal Sistem Informasi dan Teknologi Informasi Komputer Vol. 4 No. 1 (2025): Desember 2025
Publisher : Cipta Media Harmoni

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53624/jsitik.v4i1.779

Abstract

Latar Belakang: Jaringan WLAN di SMK TI Kartika Cendekia sering mengalami kendala seperti koneksi tidak stabil, latensi tinggi, dan distribusi bandwidth yang tidak merata, sehingga mengganggu proses pembelajaran digital. Tujuan penelitian ini adalah mengoptimalkan kinerja jaringan WLAN dengan menerapkan metode Quality of Service (QoS) menggunakan teknik Traffic Shaping berbasis Hierarchical Token Bucket (HTB). Penelitian dilakukan karena adanya urgensi peningkatan kualitas layanan jaringan agar mendukung kelancaran pembelajaran berbasis teknologi. Metode evaluasi mencakup pengukuran parameter throughput, packet loss, delay, dan jitter, serta survei pengguna menggunakan kuesioner Mean Opinion Score (MOS). Hasil penelitian menunjukkan throughput meningkat menjadi rata-rata 6 Mbps, packet loss menurun dari 1,2% menjadi 0,5%, delay tetap rendah (< 3 ms), dan jitter berkurang signifikan. Nilai rata-rata MOS pengguna mencapai 4,0 (kategori baik). Penerapan QoS berbasis HTB terbukti efektif dalam meningkatkan performa jaringan WLAN di lingkungan sekolah, sehingga mendukung pembelajaran digital yang lancar dan nyaman.
Sentiment Analysis of the Skyscanner Application on Google Play Store with a Comparison of Naive Bayes and Support Vector Machines Laely Triana; Wahju Tjahjo Saputro; Dewi Chirzah
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 7, No 1 (2026)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v7i1.29212

Abstract

The digital world is growing rapidly and has a significant impact on the tourism sector. Therefore, technology must adapt to developments to meet human needs. Travel booking services such as Skyscanner allow users to book flights, accommodation, and transportation online through the app. With the large number of Skyscanner user reviews on the Google Play Store. The majority of data reviews use Indonesian languanges; sentiment analysis is needed to determine user sentiment towards the app. This study aims to analyze user sentiment towards the Skyscanner app using collected user comment review data. The data is then classified into two sentiment classes: positive and negative. The classification results using a comparison of two algorithms, Naive Bayes and Support Vector Machine, SVM produced a higher accuracy of 89.74%. Naive Bayes achieves lower accuracy 82.08% than SVM. This concludes that the SVM algorithm is more effective in producing optimal classification accuracy than its comparison algorithm, Naive Bayes.
VLAN-Based Network Optimization as Mechanism of Improving Data Security and Performance Fais Abubakar Bafana; Murhadi Murhadi; Dewi Chirzah; Batchuluun Yembuu; Hasan Jali
Justek : Jurnal Sains dan Teknologi Vol 9, No 1 (2026): March
Publisher : Unversitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/justek.v9i1.37607

Abstract

Nowadays in the digital world, organizations like schools need strong network systems to help them work smoothly. Pondok Pesantren Darul Hikmah Kutoarjo Islamic School had some problems with its old network setup. These included data being shared between different parts of the school, too much broadcast traffic, and slower performance because of network conflicts. This study focuses on improving the network by using VLAN technology, which is simulated with Cisco Packet Tracer. The research uses a qualitative approach, including direct observation and reviewing existing literature. The findings show that VLANs can separate data traffic between different groups, like teachers, students, and visitors, without needing extra hardware. Testing the system showed big improvements in performance. The maximum delay went down from around 200 ms to just 10 ms, and the network became more stable by reducing jitter.
Utilization of ChatGPT and Artificial Intelligence in Educational Transformation: Trends, Challenges, and Effects on the Learning Process Bintang Fauzan Rayadika; Wahju Tjahjo Saputro; Dewi Chirzah; Zohaib Hassan Sain; Abdul Said Bin Ambotang
Justek : Jurnal Sains dan Teknologi Vol 9, No 1 (2026): March
Publisher : Unversitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/justek.v9i1.37606

Abstract

This study aims to identify and analyse the relationship between the level of student dependence on Artificial Intelligence (AI) applications, particularly ChatGPT, and its impact on their critical thinking skills, in line with educational transformation issues in the digital era. This quantitative research employed a convenience non-probability sampling approach, involving 112 student respondents in Indonesia. Data were analysed using reliability tests, normality tests, and the Paired Sample T-test. The findings indicate a high level of ChatGPT usage (Mean Score, M = 4.12), confirming students' enthusiasm for utilizing the tool for learning effectiveness and time efficiency. However, the statistical test revealed a significant difference between the level of ChatGPT usage and students' critical thinking ability (Sig. (2-tailed) = 0.009 < 0.05). This difference suggests that excessive reliance on the tool has the potential to impede the development of social and collaboration skills, and may significantly reduce students' learning independence and critical thinking ability. The study concludes that educational institutions must promptly formulate wise policies to guide students in optimally utilizing AI as a learning assistant, not as a substitute for the thinking process to ensure a balanced and sustainable educational transformation.
Co-Authors Abdul Said Bin Ambotang Arkan Salsabila Asegaf Batchuluun Yembuu Bintang Fauzan Rayadika Fais Abubakar Bafana Hanifatus Sa’diyah Widihasaniputri Hasan Jali Hesti Respatiningsih Hidayatullah, Ridwan Hilda Nova Indira Ike Yunia Pasa Jumasa, Hamid Muhammad Laely Triana Maulana Ifandika Murhadi Murhadi Murhadi Murhadi Murhadi Nur Firmansyah, Rendy Rizki Dewantara S. Widihasaniputri, Hanifatus Shururi, Anindito Fakhri Siyami, Nur Wahju Tjahjo Saputro Zohaib Hassan Sain