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All Journal Jurnal Pilar Nusa Mandiri Indonesian Journal of Data and Science Society : Jurnal Pengabdian dan Pemberdayaan Masyarakat Jurnal Minfo Polgan (JMP) Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI) Ilmu Komputer untuk Masyarakat Jurnal Pendidikan Indonesia (Japendi) Financial Management Studies Jurnal Ekonomi dan Pembangunan Indonesia The Indonesian Journal of Computer Science LINGUISTS : JOURNAL OF LINGUISTICS AND LANGUAGE TEACHING
Widyawati, Dewi
Unknown Affiliation
Humanities 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 Library & Information Science Mathematics Social Sciences Other

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Poverty Map sebagai Potret Ketimpangan Pendapatan Area Kecil di Kota Yogyakarta Widyawati, Dewi; Muchlisoh, Siti
Jurnal Ekonomi dan Pembangunan Indonesia
Publisher : UI Scholars Hub

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

Abstract

Inequality occurs in the process of economic development along with differences in the natural resources and infrastructure owned by each region. Income inequality reduction programs require accurate data collection and have to reach the smallest areas. This study discusses the application of the Elbers, Lanjouw, and Lanjouw (ELL) and Counterfactual methods to obtain estimates of income inequality indicators at the sub-district and village levels in the Kota Yogyakarta and map them in the form of a poverty map. The data used are Population Census 2010, SUSENAS (2010 and 2018), PODES (2011 and 2018), as well as other BPS publications. The results showed that the estimator of income inequality using the ELL method has a smaller RSE value than the direct estimation results. Poverty Map presents a snap-shot of the distribution of the level of inequality in a relatively heterogeneous small area.
Prediksi Potensi Donatur Menggunakan Model Logistic Regression jabir, sitti rahmah; Azis, Huzain; Widyawati, Dewi; Tenripada, Andi Ulfa
Indonesian Journal of Data and Science Vol. 4 No. 1 (2023): Indonesian Journal of Data and Science
Publisher : yocto brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijodas.v4i1.64

Abstract

GRDS menghadapi kelangkaan dana, ketika diperlukan untuk merawat para korban Gaja. Gaja adalah topan bernama kelima dari musim siklon Samudra Hindia Utara 2018 yang mempengaruhi sebagian besar tempat di Tamil Nadu, India selama bulan November 2018. Tujuan dari penelitian ini adalah untuk menggunakan riwayat donasi untuk menganalisis apakah donator akan menyumbang atau tidak menggunakan regresi logistik. Data Tamil Nadu diberikan untuk menerapkan model yang dibangun untuk memprediksi donator yang paling mungkin menjadi korban topan Gaja. Pada tahap pengumpulkan data seringkali terjadi hambatan, salah satu hambatannya yaitu fenomena missing data atau data hilang. Akibat dari adanya missing data adalah pendugaan parameter menjadi tidak efisien. Ukuran data yang berkurang dapat mengakibatkan kesulitan dalam menganalisis, sehingga hasil yang didapatkan menjadi tidak valid dan tujuan dari penelitian tidak tercapai. Data yang hilang akan diisi menggunakan metode single imputation. Data yang telah diimputasi menggunakan beberapa metode akan membantu dalam melakukan prediksi. Dimana algoritma yang digunakan untuk melakukan prediksi ialah logistic regression. Beberapa data dihilangkan setelah melihat multikolinearitas. Dalam tahap pemodelan, data dibagi menjadi 2 yaitu 70% untuk data pelatihan dan 30% untuk data tes. Dimana hasil perhitungan akurasi dari model ialah 0,6129 yang menunjukkan bahwa model tidak melakukan prediksi dengan baik menggunakan metode tersebut.
The Effect Of Profitability and Firm Size On Firm Value With Capital Structure As a Mediating Variable In Companies Transportation Sub-Sector Companies Listed On The Indonesia Stock Exchange Widyawati, Dewi; Lasmini, Rizki Sri
Financial Management Studies Vol. 3 No. 3 (2023): Financial Management Studies
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jkmk.v3i3.184

Abstract

This study aims to analyze the effect of profitability and firm size on firm value with capital structure as a mediating variable. This research was conducted at 29 transportation sub-sector companies on the Indonesia Stock Exchange. The data used from 2016 to 2020. The data is obtained from the annual report published on the IDX website or the website of each transportation sub-sector company. The analysis method used is path analysis, where testing of direct effects is done through the t-statistic test, while testing of indirect effects is done using the Sobel test. The testing process was carried out using SPSS. This research is conducted by using two equation models. In the first equation, it is found that profitability has a positive and significant effect on capital structure, while company size has no significant effect on the capital structure of transportation sub-sector companies on the Indonesia Stock Exchange. In the second equation model, it is found that profitability has no significant effect on firm value, but company size and capital structure have a significant effect on firm value. At the stage of testing the indirect effect conducted with the Sobel test, it is found that the capital structure is able to mediate the relationship between profitability and firm value. In addition, from the results of the second indirect effect test, it is also found that the capital structure is able to mediate the relationship between company size and the company's capital structure.
Klasifikasi Daun Herbal Menggunakan Metode CNN dan Naïve Bayes dengan Fitur GLCM Adela Regita Azzahra; Purnawansyah; Darwis, Herdianti; Widyawati, Dewi
The Indonesian Journal of Computer Science Vol. 12 No. 4 (2023): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i4.3362

Abstract

Tanaman herbal menunjukkan variasi berbagai ukuran dan bentuk yang berbeda untuk setiap jenis. Penelitian ini bertujuan untuk mengklasifikasikan citra daun dari daun katuk (Sauropus Androgynus) dan daun kelor (Moringa). Dalam penelitian ini digunakan Gray Level Co-Occurrence Matrix (GLCM) untuk mengektraksi fitur contrast, correlation, homogeneity, dissimilarity, dan Angular Second Moment (ASM). Adapun pada klasifikasi diterapkan metode Convolutional Neural Network (CNN) dan Naïve Bayes dengan kernel Gaussian, multinomial, dan Bernoulli. Jumlah citra yang digunakan dalam riset ini adalah 480 citra, dengan perincian 80% untuk data training dan 20% sebagai data testing. Berdasarkan hasil pengujian dan perbandingan yang telah dilakukan didapatkan kesimpulan bahwa penerapan metode CNN tanpa ekstraksi fitur terbukti lebih efisien dalam proses klasifikasi citra daun herbal, dengan nilai precision, recall, f1-score dan accuracy mencapai 98% pada situasi cahaya terang.
Analisis Sentimen Fasilitas Belajar dan Alat Laboratorium menggunakan metode Naïve Bayes Classifier Syahar, A Ulfah Tenripada; Savitri, Avin; Widyawati, Dewi; Ma’Tang, Hariani
Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI) Vol 7 No 2 (2024): Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Lamappapoleonro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57093/jisti.v7i2.265

Abstract

ABSTRACK This study aims to analyze student sentiment towards learning facilities and laboratory equipment using the Naïve Bayes Classifier method. The data used in this study were obtained from social media platforms, which include student comments and statements regarding the facilities and tools available at educational institutions. The collected data is then analyzed to identify the sentiments contained, namely positive, negative, and neutral. Based on the analysis results, 170 negative sentiments, 135 positive sentiments, and 147 neutral sentiments were obtained. The Naïve Bayes algorithm produces an accuracy value of 77%, precision of 75%, recall of 66%, and F1-score of 7%. These results show that Naïve Bayes can be used to classify student sentiment towards laboratory facilities and equipment, although there is still room for improvement in increasing recall and F1-score. This research provides an overview of the quality of learning facilities and laboratory equipment and identifies areas that require more attention in the improvement and maintenance of facilities in educational institutions.
EVALUATING FIKOM THESIS ADVISORY QUALITY WITH MANAGEMENT BY OBJECTIVES AT UNIVERSITAS MUSLIM INDONESIA Haris, Najwan Firdaus; Hayati, Lilis Nur; Widyawati, Dewi
Jurnal Pilar Nusa Mandiri Vol. 21 No. 1 (2025): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Pe
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v21i1.5734

Abstract

The Faculty of Computer Science (FIKOM) at Universitas Muslim Indonesia (UMI) faces significant challenges in enhancing the quality of thesis supervision due to an increasing student population. This study utilizes the Management by Objectives (MBO) approach to evaluate and improve faculty supervision quality. MBO involves setting clear goals, monitoring progress, providing feedback, and evaluating performance based on Key Performance Indicators (KPIs), Customer Satisfaction Scores (CSAT), and Customer Effort Scores (CES). Data was gathered from questionnaires distributed to 211 FIKOM students currently writing or who have completed their theses. The findings reveal that MBO implementation significantly enhances communication between faculty and students, clarifies supervision goals, and boosts student satisfaction. The structured and directed approach of MBO makes the supervision process more efficient, leading to higher quality thesis completions. Additionally, the research underscores the importance of aligning supervision schedules and methods to better fit both faculty and student needs, thus mitigating issues related to faculty workload and student guidance. The study concludes that adopting MBO in thesis supervision processes can substantially improve both the effectiveness and satisfaction of academic guidance at FIKOM UMI.
PEDAGOGICAL STUDIES: THE CHALLENGES OF SANTRI IN BILINGUAL PROGRAMS NA'IMAH, NA'IMAH; HAMID, ABDUL WARIS; SYAFRUDDIN, MUHAMMAD ANDI; WIDYAWATI, DEWI
Linguists : Journal of Linguistics and Language Teaching Vol 8, No 2 (2022): December
Publisher : Universitas Islam Negeri (UIN) Fatmawati Sukarno Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29300/ling.v8i2.3915

Abstract

The era of globalization has required humans to utilize international language as a means of communication. Many educational institutions implement a bilingual program, such as the one implemented by MA SyaikhZainuddin NW Anjani. The purpose of this study is to analyze the challenges of students in the bilingual program. Data collection techniques in this study include observation, interviews, and documentation. Observations were used to observe the process of implementing the bilingual program at MA SyaikhZainuddin NW Anjani. Interviews were used to obtain information on the development of the bilingual program. The analysis in this study uses descriptive qualitative. The study results indicate that the challenge of students in the Bilingual program at MA SyaikhZainuddin NW Anjani begins with applying two languages. It is done by introducing what language is. After the introduction stage, the students are asked to memorize the vocabulary given, with the aim that students can interact using the two languages, but based on the results of research in the field, many students have difficulty memorizing vocabulary because of the density of the hours of this subject causes problems for students. However, the teachers motivate students to keep learning the language to facilitate learning.
Bimbingan IT Fundamental Video Pembelajaran untuk Tenaga Guru di SDN Inpres 133 Pari’risi Kabupaten Takalar Faradibah, Amaliah; Widyawati, Dewi; Belluano, Poetri Lestari Lokapitasari; Tenripada, A. Ulfah; Utami, Aulia Putri; Fatahillah, Furqon; A.R Tuasamu, Fatimah
Society : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol. 6 No. 1 (2025): Vol. 6 No. 1, Oktober 2025
Publisher : Universitas Dinamika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37802/society.v6i1.887

Abstract

The use of Information Technology has penetrated various sectors, including education. In the digital era, video editing applications are among the most widely used tools, as students tend to be more engaged with video-based content than with text-based learning materials. This study aims to improve teaching methods by empowering teachers to create engaging learning videos using digital applications. The program was implemented at SDN 133 Inpres Paririsi Takalar, involving 27 elementary school teachers with diverse educational backgrounds, teaching subjects, and teaching experience. A Practical and Participatory training model was applied over a two-month period. Evaluations were conducted before and after the training to assess its effectiveness in enhancing teachers’ video editing skills. The results showed a significant improvement in teachers' abilities to use video editing applications and increased confidence in delivering digital-based learning content. The main challenges faced by teachers included limited initial digital literacy and time constraints during implementation. This study contributes to addressing the digital content creation skill gap among elementary school teachers. The expected outputs include: (1) a user guide module for video editing applications, (2) publication in an accredited national journal, and (3) enrichment materials for the Multimedia Systems course. Further research is recommended to explore the long-term impact of the training and its applicability to other educational levels.
Deteksi dan Klasifikasi Jenis Kacang-Kacangan Menggunakan CNN Berbasis ESP32-Cam Gaffar, Andi Widya Mufila; Widyawati, Dewi; Fahmi, Fahmi; Ulfiani, Sri
Jurnal Minfo Polgan Vol. 14 No. 2 (2025): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v14i2.15359

Abstract

Kacang-kacangan merupakan sumber pangan padat energi yang kaya nutrisi bioaktif, berperan penting dalam menjaga kesehatan serta menurunkan risiko penyakit kronis yang dimana kacang-kacangan memiliki jenis dan varietas yang sangat beragam dengan ciri-ciri seperti warna, bantuk dan karateristik yang berbeda beda. Penelitian ini bertujuan untuk mengembangkan sistem deteksi otomatis jenis kacang-kacangan menggunakan metode Convolutional Neural Network (CNN) berbasis arsitektur Faster Objects, More Objects (FOMO) yang diintegrasikan dengan perangkat berbiaya rendah ESP32-Cam melalui platform Edge Impulse. Empat jenis kacang yang digunakan sebagai objek penelitian meliputi kacang hijau, kacang kedelai, kacang merah, dan kacang tanah, dengan total 530 citra hasil akuisisi data. Proses penelitian meliputi tahapan akuisisi data, pre-processing berupa pelabelan, normalisasi, dan resize, pembagian dataset, pelatihan model dengan 60 epoch dan learning rate 0,001, hingga evaluasi kinerja model. Hasil evaluasi menunjukkan bahwa model mencapai F1 Score rata-rata 90,4%, yang termasuk kategori sangat baik, dengan keseimbangan optimal antara precision dan recall. Pada tingkat per kelas, kacang merah berhasil dikenali sempurna dengan akurasi 100%, kacang hijau memperoleh akurasi 94,4%, sedangkan kacang kedelai dan kacang tanah masing-masing mencapai 88% dan 88,9%. Analisis feature explorer menunjukkan adanya tumpang tindih pada distribusi kacang kedelai dan kacang tanah akibat kemiripan tekstur dan morfologi, sehingga berpotensi menimbulkan kesalahan klasifikasi. Secara keseluruhan, hasil penelitian ini membuktikan bahwa CNN dengan menggunakan ESP32-Cam mampu mendeteksi jenis kacang-kacangan dengan akurasi yang sangat baik.
PENINGKATAN KEMAMPUAN PERANGKAT DESA DALAM TATA KELOLA PENGARSIPAN SURAT DAN PELAYANAN MASYARAKAT PADA LEMBANG MARINDING KECAMATAN MENGKENDEK KAB. TANA TORAJA Widyawati, Dewi; Tenripada, A Ulfah; Jabir, Sitti Rahmah; Faradibah, Amaliah
Ilmu Komputer untuk Masyarakat Vol 4, No 1 (2023)
Publisher : Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkomas.v4i1.1507

Abstract

Pengelolaan buku administrasi desa memegang peranan penting bagi jalannya suatu organisasi, yaitu sebagai sumber informasi dan sebagai pusat ingatan organisasi sebagai dasar pengambilan keputusan. Masalah yang muncul pada Lembang Marinding Kecamatan Mengkendek Kab. Tana Toraja yaitu masih mengelola data administasi desa secara manual, sehingga muncul masalah jika berkas administrasi dibutuhkan tidak ditemukan atau hilang. Selain itu belum tersedianya fasilitas atau media yang mengatur data administrasi secara digital, sehingga pelayanan kepada masyarakat belum maksimal. Staf lembang juga belum mahir dalam menerapkan teknologi informasi dalam manajemen administrasi. Hasil yang diperoleh dari kegiatan pengabdian yaitu dapat meningkatkan pemahaman dan kemampuan serta keterampilan perangkat desa Lembang Marinding dalam mengelola administrasi persuratan secara digital sehingga kegiatan administrasi menjadi lebih baik. Selain itu pelayanan kepada masyarakat lebih baik sehingga membuat kinerja staf Lembang Marinding juga meningkat. Sebagai penunjang dalam kegiatan tersebut, staf yang mengikuti kegiatan pelatihan diberikan modul sebagai panduan penggunaan sistem. Pada kegiatan ini menghasilkan sebuah sistem informasi berupa buku administrasi berbasis web yang akan dikelola langsung oleh staf lembang. Luaran akhir berupa publikasi di media massa dan artikel yang akan dipublikasikan pada Jurnal Ilkomas
Co-Authors A.R Tuasamu, Fatimah Adela Regita Azzahra Darwis, Herdianti Fahmi Fahmi Faradibah, Amaliah Fatahillah, Furqon Gaffar, Andi Widya Mufila Hamid, Abdul Waris Haris, Najwan Firdaus Huzain Azis jabir, sitti rahmah Lasmini, Rizki Sri lilis nurhayati Lokapitasari Belluano, Poetri Lestari Ma’Tang, Hariani Muchlisoh, Siti Mumtaazah, Jihaan Na'imah, Na'imah Purnawansyah Rahmawati, Huzdaeni Sarastiti, Indah Savitri, Avin Syafruddin, Muhammad Andi Syahar, A Ulfah Tenripada Tenripada, A Ulfah Tenripada, A. Ulfah Tenripada, Andi Ulfa Ulfiani, Sri Ulum, Fira Miftahul Utami, Aulia Putri