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All Journal EGALITA Dinamisia: Jurnal Pengabdian Kepada Masyarakat Infotekmesin JISA (Jurnal Informatika dan Sains) Journal of Innovation Information Technology and Application (JINITA) Madani : Indonesian Journal of Civil Society Journal of English Language and Education TIERS Information Technology Journal Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Jurnal Abdimas: Pengabdian dan Pengembangan Masyarakat Jurnal Penelitian Ilmu Pendidikan Indonesia Journal of Artificial Intelligence and Digital Business UNNES International Conference on ELTLT ⁠International Journal of Sustainable Social Culture, Science Technology, Management, and Law Humanities ⁠International Journal of Asian Pacific Community Service Journal of Information Technology and its Utilization Wanastra: Jurnal Bahasa dan Sastra Pengabdian: Jurnal Abdimas
Annisa Romadloni
Politeknik Negeri Cilacap
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Social Sciences Other

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Pemanfaatan Teknologi Informasi untuk Pengembangan Desa Wisata Widarapayung Wetan melalui Pemberdayaan Kelompok Sadar Wisata (Pokdarwis) Linda Perdana Wanti; Fadillah; Annisa Romadloni; Ganjar Ndaru Ikhtiagung; Nur Wachid Adi Prasetya; Andesita Prihantara; Isa Bahroni; Ilham Aditya Pangestu
Dinamisia : Jurnal Pengabdian Kepada Masyarakat Vol. 6 No. 1 (2022): Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/dinamisia.v6i1.8385

Abstract

Efforts to create a productive society and develop the world of tourism around their homes require attention from both the community and the government. Widarapayung Wetan Village in Cilacap Regency is a village that has tourism potential that has not been developed optimally. The problem in Widarapayung Wetan village related to tourism is that there is no quality, interesting, and informative tourism website that is used to promote the village's tourism potential. The development of superior aspects of the village requires appropriate and effective facilities and infrastructure to be used. A technological facility such as a tourist village website can help develop the potential of village tourism as well as be a means of promotion. The method of implementing this community service activity is training on the development and use of a tourist village website as a medium for introducing tourism potential by Pokdarwis in the village of Widarapayung Wetan. The expected output target is the development of village websites as a means of tourism promotion and increasing knowledge of tourism awareness groups (Pokdarwis) in managing tourism village websites.
Penerapan Data Mining dalam Analisis Prediksi Kanker Paru Menggunakan Algoritma Random Forest Laura Sari; Annisa Romadloni; Rostika Listyaningrum
Infotekmesin Vol 14 No 1 (2023): Infotekmesin: Januari, 2023
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v14i1.1751

Abstract

Cancer is the second highest cause of death in the world. In Indonesia, it is a disease with a high mortality rate. Most patients do not realize that they have lung cancer thus the treatment is sometimes too late. A prediction method with a high degree of accuracy is needed to detect lung cancer earlier. Previous research used data mining calcification methods with the Naïve Bayes algorithm to predict lung cancer. This research resulted in high recall values for the positive class (Yes class) but low for the negative class (No class). This research was made using the Random Forest algorithm which is known to have good performance. The modeling is optimized by applying the K-fold Cross Validation technique. The Random Forest algorithm produces a higher Accuracy value than the Naïve Bayes algorithm, which is 98.4%. This algorithm produces 100% Recall for the positive class, 80% for the negative class and provides a 100% correct prediction as can be seen from the AUC value of 1. Although a statistical test with a significance level of 5% shows the results of the two algorithms are not significantly different.
Pelatihan SIPAKPRIH untuk Deteksi Dini Preeklamsia sebagai Dukungan Peningkatan Kinerja IBI Kabupaten Cilacap Linda Perdana Wanti; Nur Wachid Adi Prasetya; Lina Puspitasari; Laura Sari; Annisa Romadloni
Dinamisia : Jurnal Pengabdian Kepada Masyarakat Vol. 7 No. 3 (2023): Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/dinamisia.v7i3.11586

Abstract

IBI (Indonesian Midwives Association) Cilacap Regency is a forum for the association of midwife medical personnel in the Cilacap Regency. The performance of midwives can be continuously improved through training that supports all health service activities in the community. One of them is training in the use of information systems to detect the presence of preeclampsia in pregnant women (SIPAKPRIH) from the first to the third trimester by selecting the causative factors experienced by pregnant women. Midwives can take advantage of the expert system to support the performance of midwives in terms of health services for the community, especially pregnant women and the babies/fetus they contain. The solution proposed through this PkM activity is to improve the performance of midwives, especially midwives in Cilacap Regency in supporting health service activities to the community that are useful for monitoring the health of mothers and babies during pregnancy. The output target of this PkM activity is to increase the skills and knowledge of midwives for monitoring the health of pregnant women who are detected with preeclampsia through optimizing SIPAKPRIH.
Implementation of LightGBM and Random Forest in Potential Customer Classification Laura Sari; Annisa Romadloni; Rostika Lityaningrum; Hety Dwi Hastuti
TIERS Information Technology Journal Vol. 4 No. 1 (2023)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v4i1.4355

Abstract

Classification is one of the data mining techniques that can be used to determine potential custumers. Previous research show that the boosting method, especially LGBM, produces the highest accuracy value of all models, namely 100%. Meanwhile, for the two bagging methods, Random Forest produced the highest accuracy compared to Extra Trees, namely 99.03%. The research uses the LGBM and Random Forest methods to classify potential customers. The results of this study indicate that in imbalance data the LightGBM method has better accuracy than the Random Forest, which is 85.49%, when the Random Forest is unable to produce a model. The SMOTE method used in this study affects the accuracy of the random forest but does not affect the accuracy of LightGBM. Over all the Accuracy, Recall, Specificity, and Precision values, Random Forest produces a good value compared to LightGBM on balanced data. Meanwhile, LightGBM is able to handle unbalanced data.
Peningkatan Pemahaman Jiwa Leadership Mahasiswa Politeknik Negeri Cilacap Melalui Pelatihan Kepemimpinan Oman Somantri; Ratih Hafsarah Maharrani; Annisa Romadloni; Abdul Rohman Supriyono; Laura Sari
Jurnal Abdimas: Pengabdian dan Pengembangan Masyarakat Vol 5 No 1 (2023)
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/jppm.v5i1.1107

Abstract

Kesulitan dalam memahami kepemimpinan sekaligus memiliki jiwa pemimpin menjadi salah satu masalah penting diantara mahasiswa. Pemahaman atas jiwa leadership yang dimilii oleh dirinya akan membawa dampak yang signifikan terhadap kehidupannya terlebih dalam menjalankan sebuah organisasi kampus, sehingga diperlukan upaya memupuk jiwa kepemimpinan yang dapat diterapkan dan diimplementasikan untuk menjalankan roda organisasi di kampus. Metode pelaksanaan kegiatan dilakukan dengan beberapa proses yaitu tahapan perencanaan, tahapan assessment, tahapan pelaksanaan, dan tahapan evaluasi kegiatan. Hasil kegiatan pelatihan yang dilaksanakan cukup dapat memberikan pengaruh yang signifikan terhadap pemahaman para peserta pelatihan untuk memahami materi yang disampaikan. Hasil kepuasan peserta pelatihan memperlihatkan 80% peserta kegiatan tingkat pemahamannya terhadap materi yang disampaikan meningkat.
Metode Fuzzy Time Series Markov Chain Untuk Peramalan Curah Hujan Harian Laura Sari; Annisa Romadloni; Rostika Listyaningrum; Fadhilla Hazrina; Nur Wahyu Rahadi
Infotekmesin Vol 15 No 1 (2024): Infotekmesin: Januari, 2024
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v15i1.2182

Abstract

Cilacap Regency has diverse topography and geographical conditions which cause this region to have rainfall that varies spatially and temporally; therefore, a forecasting method to overcome these uncertainties and fluctuations is needed. Fuzzy Time Series Markov Chain utilizes Fuzzy logic which provides flexibility in handling uncertain and unstructured data. Moreover, the addition of Markov chain elements that utilize Fuzzy logic concepts provides flexibility in handling data allowing the model to capture inter-time relationships and changes in system state that depend on previous states. Therefore, the research aims to see the suitability of the Fuzzy Time Series Markov Chain for predicting daily rainfall in Cilacap Regency. The method is suitable for predicting rainfall data for Cilacap Regency. The accuracy value in this study can be seen from the RMSE and SMAPE values ​​on the training data (in-sample), respectively, which are 58.76469 and 0.7227493. Meanwhile, the testing data (out sample) was 56.01818 and 0.7055117.
An Analysis of Translation Challenges in ESP Programs: A Rubric-Based Evaluation of Polytechnic Students’ Performance Romadloni, Annisa; Sari, Laura
⁠International Journal of Sustainable Social Culture, Science Technology, Management, and Law Humanities Vol. 2 No. 1 (2025)
Publisher : Universitas Kristen Cipta Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71131/k28yv916

Abstract

This study investigates the translation challenges faced by students enrolled in English for Specific Purposes (ESP) programs at polytechnic institutions. Recognizing that translation tasks demand both linguistic and technical competencies, this research aims to assess students’ translation performance across four key criteria: accuracy, grammar, fluency, and adherence to meaning. Employing a mixed-methods approach, fifteen students were assigned to translate technical and narrative texts commonly found in ESP curricula. Their translations were evaluated using a rubric-based system to identify patterns in performance and recurring issues. The results show that while most students demonstrated high levels of accuracy and adherence to meaning, several faced difficulties in grammar and fluency, particularly when translating culturally rich or narrative content. These findings highlight the importance of integrating targeted translation training into ESP courses, with a focus on enhancing grammatical precision and natural language flow. The study contributes to a better understanding of how polytechnic students translate specialized texts and offers practical recommendations for improving translation instruction within ESP frameworks.
Implementasi Media Pembelajaran Interaktif Pembuatan Pupuk Bokashi Berbasis Android Syafirullah, Lutfi; Pramita, Ayu; Supriyono, Abdul Rohman; Romadloni, Annisa; Hastuti, Hety Dwi; Fadillah, Fadillah
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 2 (2025): Mei - Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i2.478

Abstract

Kabupaten Cilacap, Jawa Tengah, merupakan wilayah dengan dominasi sektor pertanian dan peternakan. Dusun Bokol Wetan, Desa Banjarwaru, memiliki sekitar 170 Kepala Keluarga yang mayoritas berprofesi sebagai peternak kambing. Limbah ternak seperti kotoran kambing dan sekam padi tersedia melimpah dan berpotensi diolah menjadi pupuk organik. Proses pengomposan dapat dipercepat dengan bioaktivator EM4, yang juga meningkatkan kualitas pupuk. Penelitian ini bertujuan untuk merancang media pembelajaran interaktif yang dapat dioperasikan melalui perangkat Android untuk meningkatkan pengetahuan peternak dalam memanfaatkan limbah organik menjadi pupuk bokashi menggunakan EM4. Pendekatan yang diterapkan dalam penelitian ini adalah Multimedia Development Life Cycle (MDLC), yang meliputi tahapan analisis, desain, pengembangan, pengujian, implementasi, dan evaluasi. Media pembelajaran yang dikembangkan menyajikan informasi secara sistematis dan mudah diakses melalui perangkat mobile. Temuan penelitian mengindikasikan bahwa aplikasi yang dikembangkan mampu secara efektif meningkatkan tingkat pemahaman peternak kambing terkait pembuatan pupuk organik. Uji kegunaan menghasilkan skor sebesar 89,38%, yang menunjukkan tingkat kepuasan pengguna sangat tinggi. Dengan demikian, media ini berkontribusi dalam mendukung pertanian berkelanjutan melalui edukasi digital berbasis potensi lokal.
Gender and Communication: Analyzing Tweet Length, Sentiment, and Lexical Patterns on X (Twitter) Romadloni, Annisa; Sari, Laura
Journal of English Language and Education Vol 10, No 4 (2025)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jele.v10i4.883

Abstract

This study explores gendered communication patterns on X by examining tweet length, sentiment expression, and lexical choices in 20.050 tweets across 26 variables. Through sentiment analysis using the Bing Lexicon and word frequency analysis, the research investigates how male and female users differ in their digital communication styles. The study also incorporates non-parametric statistical tests, such as the Mann-Whitney U and Wilcoxon rank sum tests, to assess significant differences in tweet length and sentiment scores between genders. Results show that women tend to write shorter, more positive tweets, often reflecting a more personal and relational communication style. In contrast, men’s tweets are generally longer, incorporating more action-oriented language and a broader range of topics. While sentiment analysis revealed a trend of more positive tweets from women, the lack of statistical significance in sentiment differences highlights the complex nature of gendered expression in digital spaces. This research contributes to the understanding of gendered communication on social media and suggests the need for future studies to examine the intersectionality of gender with other social factors.
Penerapan Literasi Digital dan Pemasaran Produk Berbasis Teknologi di Desa Banjarwaru Vikasari, Cahya; Prabowo, Annas Setiawan; Widianingsih, Betti; Bahroni, Isa; Romadloni, Annisa
Madani : Indonesian Journal of Civil Society Vol. 7 No. 2 (2025): Madani : Agustus 2025
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/madani.v7i2.2396

Abstract

Banjarwaru Village faces marketing challenges for bamboo weaving products due to the limited local market and lack of coordination. The proposed solution is the establishment of a village coordination unit for business and marketing integration, as well as digital literacy training for artisans. The methods include market needs analysis, selection of application managers, coordination of product photography, and intensive training on digital marketing and e-commerce. As a result, artisans can optimize digital technology, expand market reach, and enhance product competitiveness. This program is capable of increasing artisans' knowledge and skills, as well as supporting the economic growth of Banjarwaru Village through online marketing and e-commerce
Co-Authors Abdul Rohman Supriyono Andesita Prihantara Annas Setiawan Prabowo Anne Johanna Antonius Agung Hartono Cahya Vikasari, Cahya Eka Tripustikasari, Eka Fadhilla Hazrina Fadillah Fadillah Fadillah Fadillah Ganjar Ndaru Ikhtiagung Hastuti, Hety Dwi Hazrina, Fadhilla Hety Dwi Hastuti Ilham Aditya Pangestu Isa Bahroni, Isa Johanna, Anne Kukuh Muhammad Laura Sari Lina Puspitasari Linda Perdana Wanti Linda Perdana Wati Listyaningrum, Rostika Lutfi Syafirullah Muhammad Abdul Muin Muhammad Nur Faiz Musawarman, Mr. Nur Wachid Adi Prasetya Nur Wahyu Rahadi Oman Somantri Pramita, Ayu Rahadi, Nur Wahyu Rahmawan Bagus Trianto Ratih Hafsarah Maharrani Ricak Agus Setiawan Rostika Listyaningrum Rostika Lityaningrum Sari, Laura Supriyono, Abdul Rohman Wanti, Linda Perdana Widianingsih, Betti