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All Journal JurTI (JURNAL TEKNOLOGI INFORMASI) IJID (International Journal on Informatics for Development) INTEK: Informatika dan Teknologi Informasi Jurnal Bisnis Terapan International Journal of Engineering, Technology and Natural Sciences (IJETS) Jurnal Informatika Teknologi dan Sains (Jinteks) Journal of Scientific Research, Education, and Technology
Rodhiyah Mardhiyyah
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Social Sciences Other

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Deteksi Wajah untuk Presensi Menggunakan Facial Landmark Zulkhairi Zulkhairi; Rodhiyah Mardhiyyah; RR Hajar Puji Sejati; Adam Sekti Aji
INTEK : Jurnal Informatika dan Teknologi Informasi Vol. 5 No. 2 (2022)
Publisher : Universitas Muhammadiyah Purworejo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37729/intek.v5i2.2036

Abstract

The Covid-19 virus is easily spread by direct contact with other people or not. One of the media that can transmit the covid virus in the office area is a fingerprint machine because the tool is used together. Presence data is one of the data that can be used to see employee performance. To reduce the risk of spreading the COVID-19 virus, attendance can be done by performing face detection. The face detection system uses facial landmarks as markers of facial areas called facial landmark points. When the system successfully detects a face, the user can then confirm the system so that the system will record attendance time data. The result of testing on this system is that the system can detect faces when the face is not wearing a mask.
Prediksi Dan Perbandingan Hasil Pembelajaran Luring Dan Daring Menggunakan Decison Tree Rodhiyah Mardhiyyah; Farida Ardiani; Izaaz Azaam Syahalam; Inggrid Dwi Fuji Astuti
(JurTI) Jurnal Teknologi Informasi Vol 6, No 2 (2022): DESEMBER 2022
Publisher : Universitas Asahan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36294/jurti.v6i2.2803

Abstract

Proses belajar mengajar di seluruh satuan pendidikan pada masa pandemi covid dilakukan tanpa tatap muka secara langsung, salah satunya melalui aplikasi Zoom atau Google Meet. Pembelajaran yang dilakukan secara daring menuntut pengajar untuk berinovasi mengembangkan media pembelajaran. Hasil belajar dari sistem belajar yang dilakukan secara daring memiliki potensi perbedaan pemahaman dalam penerimaan materi jika dibandingkan dengan pembelajaran yang dilakukan secara luring. Hasil pembelajaran diwujudkan dalam bentuk nilai akhir. Perbedaan hasil belajar dapat disebabkan karena pada pembelajaran luring kegiatan belajar mengajar dapat dilakukan dengan lebih aktif. Di sisi lain, pembelajaran daring memiliki potensi adanya pengaruh bantuan atau pendampingan belajar dalam menyelesaikan permasalahan tugas belajar. Melihat hal tersebut, penelitian ini bermaksud untuk mengetahui, memprediksi, dan membandingkan hasil prediksi pembelajaran daring dengan luring. Data pembelajaran luring menggunakan 1.849 sedangkan data pembelajaran daring menggunakan 2.450 data. Hasil dari perbandingan prediksi ini adalah hasil belajar pada sistem belajar daring mendapat nilai yang lebih tinggi dibandingkan dengan sistem belajar luring.
Forecasting: Analyze Online and Offline Learning Mode with Machine Learning Algorithms Ardiani, Farida; Rodhiyah Mardhiyyah; Syahalam, Izaaz Azaam; Nasmah Nur Amiroh
IJID (International Journal on Informatics for Development) Vol. 11 No. 2 (2022): IJID December
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2022.3733

Abstract

Since the pandemic occurred, in March 2020, learning activities have changed from an offline to an online learning mode. This is the first time, such a huge change has occurred, simultaneously in the entire hemisphere. This learning mode opens a new discourse regarding the impact on the learning mode and educational evaluation results. The author aims to compare the results of the educational evaluation of the online learning mode during the pandemic with offline learning mode, so that differences will be known, as well as can be used to predict student learning outcomes, in order to obtain an overview of the effectiveness and efficiency of a learning mode. Data collection is carried out as an initial step in data processing, based on the final results of student learning, in certain courses taken every semester starting in 2017-2022. The data consists of 6 indicators, namely CI1-CI4, grades, and letter grades. The result of this study is the prediction of a more effective learning mode used, as decision support carried out by the forecasting method, comparing the Naïve Bayes and Decision Tree algorithm in getting the best accuracy value, by analyzing the learning mode offline to online.
PENGARUH ENDORSEMENT INFLUENCER DALAM MEMBENTUK KEPERCAYAAN KONSUMEN TERHADAP BRAND YU MARNI Nopita, Dewi; Rodhiyah Mardhiyyah; Echa Yulia Checar; Dwi Indah Lestari
Jurnal Bisnis Terapan Vol. 8 No. 1 (2024): Jurnal Bisnis Terapan
Publisher : Politeknik Ubaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24123/jbt.v8i1.6002

Abstract

Consumer trust is a key factor in purchasing decisions. Influencer endorsements have become an increasingly popular marketing strategy in efforts to influence consumer preferences. Influencer s possess a level of credibility that impacts the trust levels towards the Yu Marni brand. Yu Marni is a business that sells products made from corn and cassava, yet its product marketing has not been optimal, failing to reach the sales target. Therefore, utilizing Influencer s and leveraging their credibility in advertising campaigns is crucial. However, Yu Marni is challenged to build brand trust to compete with other brands. The objective of this research is to determine the extent of the influence of Influencer endorsements in shaping consumer trust in the Yu Marni brand. The research method includes interviews and surveys conducted through questionnaires. The questionnaires were created using Google Forms and shared via WhatsApp groups. 31 respondents filled out the questionnaires. The research results prove that Influencer endorsements significantly influence consumer trust in the Yu Marni product. The study has demonstrated that consumers agree that Influencer s have successfully introduced Yu Marni products, as evidenced by a 78.3% response rate. Additionally, 56.5% of respondents felt inspired to purchase Yu Marni products after seeing promotions by Influencer s. Influencer endorsements have a significant positive impact on building consumer trust in the Yu Marni brand.
Designing Product Labels and Digital Marketing as Branding Strategies for Yu Marni’s Tiwul Product Nopita, Dewi; Rodhiyah Mardhiyyah; Maya Listiyani; Tegar Julianto
Jurnal Internasional Teknik, Teknologi dan Ilmu Pengetahuan Alam Vol 5 No 2 (2023): International Journal of Engineering, Technology and Natural Sciences
Publisher : Universitas Teknologi Yogyakarta, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46923/ijets.v5i2.253

Abstract

Yu Marni is a culinary SME undertaking unique local food of Gunungkidul, Yogyakarta with a wide variety of products, including instant tiwul, tiwul flour, corn rice, gatot, and several other products. The packaging designs of these products lacking complete information such as the name of the product and how to use the product. Product marketing is done by entrusting their products to several souvenir shops and utilizing social media such as WhatsApp and Instagram. To make it easier for consumers to find information on Yu Marni's products, a packaging design was created that contained information including the logo, brand, product name, packaging theme, and other supporting information. In addition, a website is created to enhance products introduction to the public as well as a means to perform modern transactions. The rebranding activity resulted in a product packaging design that contained information about the identity of the company and its products. The website that was built is not only for product promotion, but can also be used for transactions and transaction data recap. Keywords: Instant tiwul, Labeling, Marketing, Product Image, Rebranding.
Android-Based Information System for Monitoring and Evaluation of Industrial Internship Activities Ardhiansyah Wahyu Setyadi; Rodhiyah Mardhiyyah
Journal of Scientific Research, Education, and Technology (JSRET) Vol. 4 No. 4 (2025): Vol. 4 No. 4 2025
Publisher : Kirana Publisher (KNPub)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58526/jsret.v4i4.941

Abstract

Industrial work practice is a compulsory program for vocational high school students as part of work-based learning. In Temanggung, monitoring and evaluation are still done manually using paper documents, making it difficult for teachers and industry supervisors to track students’ progress in real time. The separation of attendance, activity reports, and performance assessments also causes inefficiency and potential data loss. To address this, an Android-based information system was developed to provide real-time monitoring and integrate all evaluation components into one platform. Students, teachers, and industry partners use the mobile app, while administrators manage data through a web-based system. The system enables supervisors to monitor students’ daily activities remotely and unifies attendance, reports, and performance assessments in a single platform, improving administrative efficiency and simplifying the management of industrial work practice activities at SMK N 2 Temanggung.
ANALISIS SENTIMEN PUBLIK TERHADAP BADAN INVESTASI DANANTARA PADA MEDIA SOSIAL X MENGGUNAKAN MODEL INDOBERT Mahardika, Setiawan Putra; Rodhiyah Mardhiyyah; Sanjaya, Fadil Indra
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 7 No 4 (2025): EDISI 26
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v7i4.6804

Abstract

Pembentukan Badan Pengelola Investasi Daya Anagata Nusantara (Danantara) sebagai lembaga pengelola investasi nasional telah memicu beragam reaksi masyarakat Indonesia. Persepsi publik memainkan peran penting dalam kepercayaan dan keberhasilan lembaga ini, sehingga diperlukan analisis sentimen yang objektif dan sistematis. Penelitian ini bertujuan menganalisis sentimen publik terhadap Danantara menggunakan model IndoBERT, sebuah model trafo yang dioptimalkan untuk Bahasa Indonesia. Data opini publik dikumpulkan dari platform media sosial melalui teknik scraping , kemudian diproses melalui tahapan preprocessing (cleaning, normalisasi, tokenisasi, translasi) sebelum dilakukan pelabelan otomatis dan sebagian manual. Model dibor dan dievaluasi menggunakan metrik akurasi, presisi, recall , dan F1-score . Hasil menunjukkan IndoBERT mampu mengklasifikasikan sentimen dengan akurasi 88,77% dan rata-rata F1-score 88,76%. Hasil analisis menemukan sebagian besar opini masyarakat terhadap Danantara bersifat negatif (58,6%), sedangkan 41,4% positif. Penelitian ini memberikan kontribusi pada pengembangan penerjemahan bahasa alami (NLP) berbahasa Indonesia serta menjadi masukan bagi pemerintah dalam menyebarkan persepsi publik terhadap kebijakan strategis nasional.
Co-Authors Adam Sekti Aji Ardhiansyah Wahyu Setyadi Dewi Nopita Dwi Indah Lestari Echa Yulia Checar Fadil Indra Sanjaya Farida Ardiani Farida Ardiani, Farida Inggrid Dwi Fuji Astuti Izaaz Azaam Syahalam Mahardika, Setiawan Putra Maya Listiyani Nasmah Nur Amiroh Syahalam, Izaaz Azaam Tegar Julianto Zulkhairi