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All Journal Bulletin of Electrical Engineering and Informatics Annual Research Seminar Sistemasi: Jurnal Sistem Informasi RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JSAI (Journal Scientific and Applied Informatics) Mejuajua Jurnal Masyarakat Madani Indonesia Jurnal PETISI (Pendidikan Teknologi Informasi) JUKEMAS : Jurnal Pengabdian Kepada Masyarakat
Rizka Dhini Kurnia
Universitas Sriwijaya
Religion Humanities Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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Pelatihan Pembuatan Media Ajar Interaktif Berbasis Multimedia Untuk Inovasi Pembelajaran Bagi Guru Sekolah Dasar Islam Az-Zahra Palembang Dengan Camtasia Ali Ibrahim; Endang Lestari; Fathoni Fathoni; Rizka Dhini Kurnia; Mira Afrina; Ahmad Rifai
Annual Research Seminar (ARS) Vol 1, No 1 (2015)
Publisher : Annual Research Seminar (ARS)

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

Abstract

Making training activities based interactive multimedia instructional media for learning innovations for primary school teachers of Islam az-zahra palembang with Camtasia is an activity at the request of the Islamic Primary School Zahra Palembang, through the Head of School for the training was held. This activity aims to share knowledge to teachers in terms of making media-based teaching animation with Camtasia program. Besides the goal is held in order to attract and increase student interest in learning and understanding the material. This training is followed by approximately ± 30 participants were taught in elementary school. Thank God, this training can be run in accordance with the expectations, it can be seen from the enthusiasm of the participants in the training. From the observation and discussion directly during training, it appears that the participants were very pleased training, because in accordance with the opinion of some participants that the use of this method is a very interesting and they are sure to be able to increase student interest. During the training activities, participants easily and can be training because it is supported by the module are clear and detailed, so that participants can easily try and create teaching materials with Camtasia animation program. From the observation team directly approximately 90% of participants declared successful, because participants are able to try themselves at the moment in the given exercise. While 10% of
Using machine learning approach towards successful crowdfunding prediction Sarifah Putri Raflesia; Dinda Lestarini; Rizka Dhini Kurnia; Dinna Yunika Hardiyanti
Bulletin of Electrical Engineering and Informatics Vol 12, No 4: August 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i4.5238

Abstract

Crowdfunding is a concept that emerged due to difficulties in raising funds for community business projects, social activities, micro-enterprises, and start-ups conventionally. Crowdfunding uses internet technology as a bridge between the donor and the recipient of funds so that it can reach a wider range of donors. This study aims to compare the performance of machine learning approaches in predicting crowdfunding campaign success. Three machine learning algorithms were employed to predict crowdfunding campaign success, namely logistic regression, random forest, and extreme gradient boosting (XGBoost). The dataset used in this study contains data about all projects posted on Kickstarter from January 2020 to September 2022. To improve the prediction model's performance, experiments using principal component analysis (PCA) feature reduction and log transformation were conducted. The results show that the implementation of log transformation on the dataset can increase the prediction model's performance. Meanwhile, XGBoost algorithm performs better than linear regression and random forest.
Peningkatan Pengetahuan Teknologi Informasi untuk Masyarakat Kelurahan Mariana Ilir Kecamatan Banyuasin Ilir Kabupaten Banyuasin, Sumatera Selatan Ali Ibrahim; Ermatita Ermatita; Ahmad Fali Oklilas; Purwita Sari; Yadi Utama; Rizka Dhini Kurnia
JUKEMAS : Jurnal Pengabdian Kepada Masyarakat Vol. 1 No. 1 (2023): JUKEMAS: Jurnal Pengabdian Kepada Masyarakat
Publisher : Lumbung Pare Cendekia

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Abstract

Kegiatan pelaksanakan pengabdian kepada masyarakat dengan Peningkatan Pengetahuan Teknologi Informasi Untuk Masyakarat di Kelurahan Mariana Ilir Kecamatan Banyuasin Ilir, Kabuaten Banyuasin Sumatra Selatan dapat dilaksanakan sesuai dengan agenda dan jadwal, yang sudah disepakati antara tim pengabdian kepada masyarakat dan tim dari kelurahan, dalam hal ini diwakilkan oleh kepala dan sekretaris lurah. Dari hasil evaluasi selama pelaksanaan kegiatan, didapat bahwa sangat tinggi antusias peserta dalam menerima apa yang disampaikan oleh narasumber. Selain itu, hasil kumunikasi dengan tim kelurahan sungai pinang, diharapkan ada pelatihan lanjut dari tim pengabdian masyarakat untuk tahun 2023. Sehingga ada keberlanjutan kegiatan. Berdasarakan hasil wawancara dan observasi tim dengan peserta maka tingkat keberhasailan pada kegiatan ini sekitar 75%. Metode kegiatan yaitu pendampingan, penyuluhan dan demostrasi aplikasi TIK. Peserta kegiatan ini adalah staf keluraha berjumlah lebih dari 6 orang dan 24 orang perwakilan dari masyarakat desa. Perwakilan desa terdiri dari karang taruna, RT, RW dan masyarakat.
Pelatihan Pemanfaatan Teknologi Informasi dan Digital Marketing untuk Meningkatkan Daya Saing UMKM di Desa Sungai Rebo Ali Ibrahim; Endang Lestari Ruskan; Ermatita Ermatita; Fathoni Fathoni; Rizka Dhini Kurnia; Al farissi; Ahmad fali Oklilas; Yadi Utama; Purwita Sari; Naretha Kawadha Pasemah Gumay
Mejuajua: Jurnal Pengabdian pada Masyarakat Vol. 5 No. 3 (2026): April 2026
Publisher : Yayasan Penelitian dan Inovasi Sumatera (YPIS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52622/mejuajuajabdimas.v5i3.339

Abstract

UMKM memiliki peran strategis dalam mendorong pertumbuhan ekonomi lokal, termasuk di Desa Sungai Rebo, Kecamatan Banyuasin I, yang sebagian besar masyarakatnya menggantungkan penghasilan dari usaha kecil di sektor kuliner, kerajinan, dan perdagangan rumah tangga. Meskipun demikian, rendahnya pemanfaatan teknologi informasi serta keterbatasan kemampuan dalam pemasaran digital menyebabkan daya saing produk UMKM di desa tersebut belum berkembang secara optimal. Kondisi ini membuat jangkauan pemasaran produk masih terbatas pada pasar lokal dan belum mampu memanfaatkan peluang pasar yang lebih luas melalui media digital. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan daya saing UMKM di Desa Sungai Rebo melalui penerapan teknologi informasi dan digital marketing sebagai strategi promosi produk secara berkelanjutan. Program ini dilaksanakan melalui pendekatan pelatihan dan pendampingan yang melibatkan pelaku UMKM sebagai mitra utama dalam setiap tahapan kegiatan, mulai dari identifikasi kebutuhan, pelatihan, hingga evaluasi hasil. Metode kegiatan meliputi asesmen awal untuk memetakan kemampuan digital pelaku UMKM, pelatihan penggunaan teknologi informasi dasar seperti pengelolaan perangkat digital dan aplikasi pengolahan foto produk, serta pelatihan digital marketing yang mencakup pembuatan konten promosi dan pemanfaatan media sosial. Selain itu, dilakukan pendampingan intensif dalam implementasi strategi digital marketing sesuai dengan karakteristik usaha masing-masing peserta. Hasil kegiatan menunjukkan adanya peningkatan kemampuan pelaku UMKM dalam memanfaatkan teknologi informasi untuk mendukung kegiatan usaha dan memperluas jangkauan pemasaran produk mereka. Hasil pre-test dan post-test menunjukkan adanya peningkatan signifikan pada pemahaman dasar teknologi informasi. Sebelum kegiatan, hanya 28% peserta yang memahami penggunaan perangkat digital untuk kegiatan bisnis; setelah pelatihan, tingkat pemahaman meningkat menjadi 78%.
Analisis Sentimen Layanan Kesehatan Klinik Yamet Komentar Instagram Dengan Naive Bayes Reina Salsa Kinanty; Ari Wedhasmara; Rizka Dhini Kurnia
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 3 (2025): November
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i3.9394

Abstract

The rapid advancement of information technology has driven the healthcare sector to adopt digital platforms in order to enhance service efficiency and accessibility. Yamet Clinic Palembang, as a therapy center for children with special needs, has utilized social media as its primary communication channel, although its official website has not yet been fully optimized. The main issue addressed in this study is the lack of understanding regarding public perception of the clinic’s digital services. Therefore, this research aims to analyze public sentiment toward Yamet Clinic Palembang’s services through comments posted on its official Instagram account. The Naïve Bayes algorithm was selected due to its strong performance in text classification tasks involving limited datasets and low computational complexity. The research process includes text preprocessing, feature weighting using Term Frequency–Inverse Document Frequency (TF-IDF), and the application of the Synthetic Minority Over-sampling Technique (SMOTE) to balance data distribution among sentiment categories. The experimental results indicate that the developed model successfully classified public opinions into three categories—positive, neutral, and negative—with an accuracy rate of 70%. The combination of TF-IDF, Naïve Bayes, and SMOTE proved effective in capturing public perceptions of digital health services. Practically, the findings provide valuable insights for Yamet Clinic Palembang in developing a more adaptive digital communication strategy and theoretically contribute to the advancement of sentiment analysis research within the healthcare service context in Indonesia.
PENERAPAN METODE AHP DAN SMART DALAM PEMILIHAN PROVIDER WIFI DI KOTA PALEMBANG Michael Darwin; M. Rudi Sanjaya; Dedy Kurniawan; Rizka Dhini Kurnia
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 1 (2026): Januari
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i1.6910

Abstract

The demand for fast and stable internet services continues to grow in line with the advancement of digital technology in Palembang City. The wide range of Wi-Fi service providers (Internet Service Providers) with varying characteristics makes it difficult for users to objectively determine the best option. This study aims to apply the Analytic Hierarchy Process (AHP) and Simple Multi Attribute Rating Technique (SMART) methods to support decision-making in selecting the best Wi-Fi provider in Palembang City. The AHP method is used to determine the priority weights of each criterion, including price, internet speed, connection stability, and after-sales service. Meanwhile, the SMART method is used to calculate the preference value of each provider alternative based on the obtained weights. The results indicate that internet speed is the most influential criterion in users’ decision-making, followed by stability, price, and after-sales service. Based on the calculation results, Biznet Home ranked highest with a score of 0.966 (on a maximum scale of 1.0) and is therefore recommended as the best Wi-Fi provider in Palembang City. The integration of AHP and SMART methods proves effective in producing systematic, objective, and easily interpretable decision outcomes for users.
ANALISIS KOMPARATIF ALGORITMA RANDOM FOREST, XGBOOST, DAN CATBOOST UNTUK KLASIFIKASI TINGKAT STRES PENGGUNA MEDIA SOSIAL Dila Naila Fahria; Ken Ditha Tania; Rizka Dhini Kurnia
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 1 (2026): Januari
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i1.7449

Abstract

The increasingly intensive use of social media in everyday life has various implications for the psychological condition of users, one of which is an increase in stress levels due to high usage duration and excessive exposure to information. This condition necessitates an analytical approach to understand and predict user stress levels more objectively. This study aims to compare the performance of Random Forest, XGBoost, and CatBoost algorithms in classifying the stress levels of social media users based on digital behavior data, as well as to identify behavioral factors that contribute to these stress levels. This study uses a quantitative approach based on data mining with a dataset consisting of 667 social media user data. The research stages include data collection, preprocessing, modeling using three machine learning algorithms, and model performance evaluation using accuracy, precision, recall, and F1-score metrics, reinforced with confusion matrix and feature importance analysis. The results show that Random Forest produced the best performance with an accuracy value of 0.84, precision of 0.86, recall of 0.83, and F1-score of 0.84, followed by CatBoost with an accuracy of 0.80 and XGBoost with 0.78. Feature importance analysis shows that Daily Screen Time and Happiness Index are the most influential variables in determining the stress level of users, which aligns with previous findings in digital mental health research.
Smart Youth For Smart Village: Inisiasi Peran Karang Taruna dalam Pembangunan Desa Berbasis Teknologi Informasi Dinna Yunika Hardiyanti; Pacu Putra; Rizka Dhini Kurnia; Muhammad Husni Syahbani; Ken Dhita Tania; Allsela Meiriza; Putri Eka Sevtiyuni; Nabila Rizky Oktadini; Sarifah Putr Raflesia; Dinda Lestarini; Hardini Novianti; Mira Afrina
Jurnal Masyarakat Madani Indonesia Vol. 5 No. 2 (2026): Mei
Publisher : Alesha Media Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59025/cbac9j75

Abstract

Kemajuan teknologi informasi memberikan peluang yang luas bagi desa untuk meningkatkan kualitas pelayanan, memperkenalkan potensi lokal, serta memperkuat kapasitas sumber daya manusia. Akan tetapi, pemanfaatan teknologi digital di lingkungan desa masih menghadapi berbagai kendala, terutama rendahnya kemampuan literasi digital pada kalangan pemuda. Kegiatan pengabdian kepada masyarakat ini dilaksanakan dengan tujuan meningkatkan kemampuan Karang Taruna Desa Gelebak Dalam dalam bidang literasi digital, pembuatan konten, serta pengelolaan media sosial sebagai media publikasi dan branding desa. Pelaksanaan kegiatan menggunakan pendekatan partisipatif dan edukatif melalui beberapa tahapan, yaitu sosialisasi, pelatihan, praktik langsung, dan pendampingan. Evaluasi program dilakukan dengan membandingkan hasil pretest dan posttest serta observasi selama kegiatan berlangsung. Hasil evaluasi menunjukkan adanya peningkatan pada seluruh aspek yang diukur dengan rata-rata kenaikan lebih dari 40%, terutama pada kemampuan produksi konten digital dan pengelolaan media sosial. Selain itu, akun media sosial Karang Taruna mulai dikelola secara lebih aktif dan terstruktur sebagai sarana komunikasi dan penyebaran informasi kegiatan desa. Program ini juga berkontribusi dalam membangun pengelolaan media digital desa yang lebih berkelanjutan sekaligus memperkuat peran pemuda sebagai penggerak transformasi digital desa.
Analysis of the Influence of ShopeeFood Services on Customer Loyalty of Pempek Checklist using the E-Service Quality Model Dio Rizqy Saputra; Apriansyah Putra; Rizka Dhini Kurnia; Putri Eka Sevtiyuni
SISTEMASI Vol 15, No 7 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Universitas Islam Indragiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i7.6723

Abstract

The rapid advancement of information and communication technology in the digital era has transformed consumer behavior, enabling people to fulfill their daily needs more quickly and conveniently through application-based platforms. One notable development is the widespread adoption of online food delivery services such as ShopeeFood, which offer convenience, speed, and a variety of features that support digital transactions. This trend has the potential to influence customer loyalty toward food service businesses, particularly through the quality of electronic services provided. This study aims to examine the effect of E-Service Quality on customer loyalty toward Pempek Checklist using the E-Service Quality model. A quantitative research approach was employed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS software. Data were collected through an online questionnaire from 100 customers who had previously purchased Pempek Checklist through ShopeeFood. The results indicate that the Efficiency, Fulfillment, and Privacy dimensions have positive and significant effects on customer loyalty, whereas System Availability does not have a significant effect. Collectively, the four dimensions explain customer loyalty with an R² value of 0.967, indicating very strong explanatory power. These findings suggest that, in the context of ShopeeFood services, customer loyalty is driven primarily by ease of use, reliable service fulfillment, and transaction security rather than by system availability. The study highlights the importance for both business owners and platform providers to continuously enhance electronic service quality in order to strengthen long-term customer loyalty.
The Effect of Information Quality and Video Clipper Popularity on Users’ Trust in Information: An Elaboration Likelihood Model Approach Dafa Al Faris Anwar; Apriansyah Putra; Ari Wedhasmara; Rizka Dhini Kurnia
SISTEMASI Vol 15, No 7 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Universitas Islam Indragiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i7.6721

Abstract

The rapid growth of short-form video-based social media has transformed the way users consume information, enabling faster and more immediate access to digital content. One emerging phenomenon is video clipper content, which consists of short clips extracted from longer videos and presented in a concise format that may influence users' understanding of and trust in the information presented. This study aims to examine the effects of information quality and video clipper popularity on users' trust in information using the Elaboration Likelihood Model (ELM) as the theoretical framework. A quantitative research approach was employed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS software. Data were collected through an online questionnaire from 150 respondents who had previously consumed video clipper content. The results indicate that information quality, representing the central route, does not have a significant effect on users' trust in information. In contrast, popularity, representing the peripheral route, has a positive and significant effect on users' trust in information. Collectively, the two variables explain users' trust in information with an R² value of 0.872, indicating substantial explanatory power. These findings suggest that, in the context of video clipper content consumption, users tend to base their trust more on popularity cues than on the quality of the information itself. This study highlights the importance for content creators and social media platforms to prioritize information credibility and quality in order to reduce the risk of user misunderstanding and the spread of misleading information.
Co-Authors Ahmad Fali Oklilas Ahmad Rifai Al Farissi Ali Ibrahim Allsela Meiriza, Allsela Apriansyah Putra Ari Heriyadi Ari Wedhasmara Dafa Al Faris Anwar Dedy Kurniawan Dila Naila Fahria Dinda Lestarini Dinna Yunika Hardiyanti Dio Rizqy Saputra Endang Lestari Ruskan Ermatita - Fathoni - Hardini Novianti Ken Dhita Tania Ken Ditha Tania M. Rudi Sanjaya Michael Darwin Mira Afrina Muhammad Fakhri Nadrota Acta Muhammad Husni Syahbani Naretha Kawadha Pasemah Gumay Oktadini, Nabila Rizky Pacu Putra Purwita Sari Putri Eka Sevtiyuni Reina Salsa Kinanty Sarifah Putr Raflesia Sarifah Putri Raflesia Yadi Utama