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All Journal Sistemasi: Jurnal Sistem Informasi Indonesian Journal of Artificial Intelligence and Data Mining JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Teknik Informatika UNIKA Santo Thomas Journal of Soft Computing Exploration J-SAKTI (Jurnal Sains Komputer dan Informatika) Parta: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Multidisiplin Madani (MUDIMA) Applied Science and Technology Research Journal
Yulita, Winda
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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Design and Implementation of an IoT-Based Misting Control System for Orchid Plants in the ITERA Botanical Gardens Miranto, Afit; Fil’aini, Raizummi; Ramadhani, Uri Arta; Pertiwi, Kisna; Yulita, Winda; Setiawan, Andika; Mufidah, Zunanik; Astuti, Resti Dwi
Jurnal Multidisiplin Madani Vol. 3 No. 11 (2023): November, 2023
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/mudima.v3i11.7096

Abstract

Orchids are one type of plant that can be cultivated in a greenhouse. The growth of orchid plants is influenced by several factors, including altitude, light intensity, envirnmental temperature, environmental humidity, and water content in the planting medium. If some of these factors do not meet the needs, then the growth of the orchid plant will be disrupted, the roots and flowers produced by the orchid will not be healthy and beautiful. The aim of this research is to create a system that is able to monitor and control the environmental conditions in the place/location where this orchid grows so that it is always in a stable condition. The technology used is misting misting based on an Android application using sensors and IoT to maintain and maintain the condition of orchid plants so that they are always in optimal condition. In the results of the tests carried out, the data obtained were good, namely that this instrument had an accuracy of 80%. The application that has been created is capable of controlling and monitoring the environmental conditions of orchids very well  
Digitalisasi Informasi Sebagai Penunjang Efektivitas Pelayanan Administrasi Koperasi Argo Mulyo Lestari Untoro, Meida Cahyo; Kurniawansyah, Apri; Perdana, Agung Mahadi Putra; Praseptiawan, Mugi; Nugroho, Eko Dwi; Afriansyah, Aidil; Yulita, Winda; Verdiana, Miranti
Parta: Jurnal Pengabdian Kepada Masyarakat Vol. 4 No. 2 (2023)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/parta.v4i2.4588

Abstract

Koperasi memiliki peran penting dalam perekonomian Indonesia. Argo Mulyo Lestari, salah satu koperasi yang mengelola dan menyediakan bibit pohon dan buah-buahan serta melakukan pendistribusian keseluruh wilayah Indonesia. Hasil observasi dengan cara wawancara mendapatkan data tentang proses bisnis yang dilakukan koperasi masih tergolong kuno, dengan cara mencatat pada buku, menyimpan pada excel. Proses bisnis yang tidak diimbangi dengan Teknologi informasi dan komunikasi mengakibatka, terjadi duplikasi data dan akses terbatas bagi seluruh anggota koperasi. Tim pengusul membuat usulan untuk menyelesaikan permasalahan dengan cara Teknologi Tepat Guna Digitalisasi Administrasi Koperasi Argo Mulyo Lestari. Tujuan dari digitalisasi, mempermudah, meningkatkan, dan keterbukaan data dalam melaksanakan proses bisnis. Digitalisasi mencangkup proses bisnis administrasi umum, simpan pinjam, keuangan dan pelaporan keuntungan serta kerugian. Teknologi tepat guna akan dievaluasi dengan menggunakan usability test. Hasil dari pengambdian, koperasi Argo Mulyo Lestari sudah menerapkan digitalisasi teknologi yang transparan, dan bertanggung jawab. Digitalisasi administrasi merupakan langkah yang tepat dalam menghadapi perkembangan teknologi informasi yang semakin canggih.
Analysis Comparison of Depression Levels Based on Gender and Academic Factors of Students Verdiana, Miranti; Nugroho, Eko Dwi; Anggraini, Leslie; Bagaskara, Radhinka; Yulita, Winda; Afriansyah, Aidil; Algifari, Muhammad Habib
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 4 No. 2 (2025): Applied Science and Technology Research Journal
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/astro.v4i2.7975

Abstract

This study aims to analyze the level of depression among university students by examining gender and several academic indicators. The dataset includes responses from 27,901 students across various regions, with variables covering age, gender, academic pressure, study satisfaction, work/study hours, CGPA, and depression status. The analytical methods applied in this study include the chi-square test to evaluate the association between gender and depression status, point-biserial correlation to examine the relationship between numeric variables and depression, and logistic regression to develop a prediction model. The chi-square test results revealed no significant relationship between gender and depression (p = 0.774), indicating that depression affects both genders. In contrast, academic pressure exhibited the strongest correlation with depression status (r = 0.47), followed by work/study hours (r = 0.209) and study satisfaction (r = -0.168). The Logistic Regression model constructed using the four most relevant variables demonstrated satisfactory performance, achieving 75.5% accuracy and 82.1% recall in identifying students experiencing depression. These findings highlight the critical role of academic-related factors—particularly academic pressure—in influencing students' mental health. Therefore, targeted academic support strategies are essential to mitigate depression risks in higher education environments.
From Speech to Summary: A Pipeline-Based Evaluation of Whisper and Transformer Models for Indonesian Dialogue Summarization Manullang, Martin Clinton Tosima; Yulita, Winda; Kartagama, Fathan Andi; Putra, A. Edwin Krisandika
Journal of Applied Informatics and Computing Vol. 10 No. 1 (2026): February 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i1.11826

Abstract

The rapid increase in online meetings has produced massive amounts of undocumented spoken content, creating a practical need for automatic summarization. For Indonesian, this task is hindered by a dual-faceted resource scarcity and a lack of foundational benchmarks for pipeline components. This paper addresses this gap by creating a new synthetic conversational dataset for Indonesian and conducting two systematic, discrete benchmarks to identify the optimal components for an end-to-end pipeline. First, we evaluated six Whisper ASR model variants (from tiny to turbo) and found a clear, non-obvious winner: the turbo (distil-large-v2) model was not only the most accurate (7.97% WER) but also one of the fastest (1.25s inference), breaking the expected cost-accuracy trade-off. Second, we benchmarked 13 zero-shot summarization models on gold-standard transcripts, which revealed a critical divergence between lexical and semantic performance. Indonesian-specific models excelled at lexical overlap (ROUGE-1: 17.09 for cahya/t5-base...), while the multilingual google/long-t5-tglobal-base model was the clear semantic winner (BERTScore F1: 67.09).
Co-Authors Afit Miranto Afriansyah, Aidil Algifari, Muhammad Habib Andika Setiawan, Andika Anggraini, Leslie Aprilianda, Mohamad Meazza Astuti, Resti Dwi Atmajaya, Gde KM Bagaskara, Radhinka Bahri, Samsu Ba’its, Alfian Kafilah Drantantiyas, Nike Dwi Grevika Dwi Nugroho, Eko Eko Dwi Nugroho Faisal, Amir Febrianto, Andre Fernandes, Rivaldo Fil’aini, Raizummi Fitrawan, Mhd. Kadar G. Gunawan Habib Algifari, Muhammad Harmiansyah Ilham Firman Ashari Kartagama, Fathan Andi Kisna Pertiwi, Kisna Kurniawansyah, Apri Listiani, Amalia Martin Clinton Tosima Manullang, Martin Clinton Tosima Mufidah, Zunanik Perdana, Agung Mahadi Putra Praseptiawan, Mugi Putra, A. Edwin Krisandika Rahman Indra Kesuma Ramadhani, Uri Arta Ridwan, Naufal Taufiq Rinaldi, Daniel Rizkita, Alya Khairunnisa Sinaga, Rutlima Untoro, Meida Cahyo Verdiana, Miranti