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Pengenalan Teknologi pada Anak dan Manajemen Usaha pada Orang Tua untuk Mampu Membentuk Karakter Anak sambil Bekerja L. Jatmiko Jati; Rini Anggriani; Helna Wardhana; Rizka Darmayanti; Zulfiana; Kartika Lestari
Jurnal Ilmiah Pengabdian dan Inovasi Vol. 1 No. 1 (2022): Jurnal Ilmiah Pengabdian dan Inovasi (September)
Publisher : Insan Kreasi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (921.294 KB) | DOI: 10.57248/jilpi.v1i1.4

Abstract

After the research team made observations in Pegondang Hamlet, the research team found that several parents deliberately gave smartphones to their children who were even toddlers with minimal supervision and some had businesses that had to be taken care of. Therefore, the research team felt the need to educate the relationship between technology and children and how to manage business for parents who sell while taking care of children. The method chosen by the research team in carrying out this Community Service activity is PAR (Participatory Action Research). Community Service Activities with the theme of Free Children's Seminar with Prizes are able to change parents' views regarding the use of smartphones and the introduction of technology in children. This service activity is also able to provide solutions for parents who are busy in business to remain able to carry out their role in raising children well through business management.
Implementation of Neural Machine Translation in Translating from Indonesian to Sasak Language Helna Wardhana; I Made Yadi Dharma; Khairan Marzuki; Ibjan Syarif Hidayatullah
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 23 No. 2 (2024)
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v23i2.3465

Abstract

Language translation is part of Natural Language Processing, also known as Machine Translation, which helps the process of learning foreign and regional languages using translation technology in sentence form. In Lombok, there are still people who are not very fluent in Indonesian because Indonesian is generally only used at formal events. This research aimed to develop a translation model from Indonesian to Sasak. The method used was the Neural Machine Translation with the Recurrent Neural Network - Long Short Term Memory architecture and the Word2Vec Embedding with a sentence translation system. The dataset used was a parallel corpus from the Tatoeba Project and other open sources, divided into 80% training and 20% validation data. The result of this research was the application of Neural Machine Translation with the Recurrent Neural Network - Long Short Term Memory algorithm, which could produce a model with an accuracy of 99.6% in training data and 71.9% in test data. The highest ROUGE evaluation metric result obtained on the model was 88%. This research contributed to providing a translation model from Indonesian to Sasak for the local community to facilitate communication and preserve regional language culture.
Implementation Of The Simple Additive Weighting Method At Universitas Terbuka Mataram For New Employee Recruitment Husain Husain; Heroe Santoso; Helna Wardhana; Muhammad Irwan Ardiasyah; Nurul Fitriani
International Journal of Engineering and Computer Science Applications (IJECSA) Vol. 1 No. 1 (2022): March 2022
Publisher : Universitas Bumigora Mataram-Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/ijecsa.v1i1.1814

Abstract

An agency will thrive if it is supported by qualified employees. So that employees are certainly one of the most important assets in an institution, both private and public institutions, so that agencies are required to recruit prospective contract employees who have competence and talent to support the implementation of work at the Open University of Mataram City. Skilled workers who can bring institutions forward and compete with other agencies so that they can keep up with the times, and the recruitment aspect is starting to get a special view, because the recruitment process is not in accordance with the needs at the Mataram Open University so that it can hinder the rate of development of the agency itself. Therefore, a decision support system is needed for the contract employee recruitment process at the Universitas Terbuka Mataram. Therefore, a decision support system is needed for the contract employee recruitment process at universitas Terbuka Mataram campus. This decision support system uses the Simple Additive Weighting SAW method. In this case, prospective employees are compared with one another so as to provide an output value of priority intensity which results in a system that provides an assessment of each employee. This decision support system helps evaluate each employee, make changes to the criteria, and changes the weight values. This is useful to facilitate decision making related to employee selection issues, so that the most appropriate employees will be received in the company. The purpose of this study was to select the best candidate for employees at the Universitas Terbuka Mataram. The results of this study indicate that the SAW method is appropriate for selecting the best prospective employees because it can obtain qualified employees in accordance with the expectations of the company and the leadership.
Revolusi Sistem Transportasi Cerdas: AODV Berbasis Learning Automata untuk Peningkatan Komunikasi V2V di Jalan Bebas Hambatan Bryan Jonathan Hutapea; Ketut Bayu Yogha Bintoro; Helna Wardhana
Jurnal Bumigora Information Technology (BITe) Vol. 7 No. 1 (2025)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v7i1.5131

Abstract

Backgroud: Vehicle-to-vehicle communication has become a crucial element in the development of intelligent transportation systems. However, conventional routing protocols face limitations in coping with dense and dynamic traffic conditions. Objective: The objective of this study is to improve communication efficiency between vehicles by modifying an on-demand routing protocol using a learning automata approach. Method: This study employed a simulation method with traffic modeling using traffic modeling software and network simulation tools, based on data from highways in the Soekarno-Hatta International Airport area. Result: The results of this study show that the developed protocol increases the packet delivery ratio to 87.7% and reduces latency by 6.5%. Conclusion: The conclusion of this study is that the application of learning automata in vehicle routing enhances communication reliability and supports the implementation of a more adaptive and efficient transportation system.  
PELATIHAN INTERVIEW KERJA UNTUK MEMPERSIAPKAN MAHASISWA MEMASUKI DUNIA KERJA Wardhana, Helna; Anggriani, Rini
JUAN: Jurnal Pengabdian Nusantara Vol. 2 No. 3 (2025): Juli 2025
Publisher : CV Sentra Nusa Connection

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63545/juan.v2.i3.139

Abstract

Kegiatan pengabdian ini bertujuan untuk membekali mahasiswa semester akhir dengan keterampilan menghadapi wawancara kerja, yang merupakan salah satu tahapan krusial dalam proses rekrutmen. Berdasarkan hasil survei terhadap 193 mahasiswa, ditemukan bahwa sebagian besar masih mengalami kesulitan dalam memahami teknik dan strategi wawancara kerja yang efektif. Untuk menjawab permasalahan tersebut, dilakukan pelatihan berbasis simulasi wawancara kerja yang melibatkan dosen Program Studi Manajemen Universitas Bumigora sebagai pewawancara. Pelatihan ini diawali dengan Focus Group Discussion (FGD) untuk menentukan metode pelaksanaan, dilanjutkan dengan sesi simulasi wawancara, penilaian kinerja peserta, serta pemberian umpan balik dan rekomendasi. Evaluasi pasca-kegiatan menunjukkan bahwa peserta memperoleh pemahaman dan pengalaman yang lebih baik terkait teknik wawancara, serta merasa lebih siap menghadapi dunia kerja. Kegiatan ini terbukti efektif dalam meningkatkan kesiapan kerja mahasiswa dan menjawab kebutuhan mitra terkait persiapan menghadapi proses rekrutmen.
Pelatihan Penggunaan Kuesioner Usability untuk Pengukuran Kualitas Perangkat Lunak bagi Mahasiswa dan Masyarakat Umum: Training on the Use of Usability Questionnaire for Measuring Software Quality for Students and the General Public Wahyuningrum, Tenia; Martono, Galih Hendro; Wardhana, Helna
PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Vol. 10 No. 8 (2025): PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/pengabdianmu.v10i8.9598

Abstract

Agile development ensures quality software is on time and according to user expectations. Therefore, software testing is essential before launch, including usability testing as part of the user experience. However, the many choices of questionnaires in usability testing make it difficult for developers to determine the appropriate method. This community service is a training activity that aims to improve the understanding of students and the general public, especially those involved in software development related to usability testing. The training is conducted face-to-face with counseling, namely interactive lectures, discussions, case studies, and quizzes. The training materials include an introduction to software quality and usability evaluation, respondent selection techniques, an introduction to types of usability questionnaires, and exercises in calculating and interpreting usability scores using the Usability Metric for User Experience (UMUX-Lite) questionnaire. The training results showed that the level of understanding was still low (31.07%); this result was due to several obstacles, namely the imbalance in the number of participants and facilitators, the relatively short discussion time, and not all participants being active in the activities. The strategy for future improvements is to conduct remedial sessions, re-evaluate learning methods and media, and divide participants into small groups with adequate training facilitators.
Kesetaraan Gender Dalam Pendidikan: Peran Proyek Pengabdian Masyarakat Dalam Menciptakan Kesempatan Yang Adil Tanashur, Panji; Andaru, Bidari; Miswaty, Titik Ceriyani; Alawiyah, Rosidah; Wardhana, Helna
Jurnal Pengabdian Pada Masyarakat IPTEKS Vol. 1 No. 1: Jurnal Pengabdian Pada Masyarakat IPTEKS, Desember 2023
Publisher : CV. Global Cendekia Inti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71094/jppmi.v1i1.28

Abstract

Belajar matematika sangat penting bagi anak usia sekolah dasar (Cornelius dalam Abdurahman, 2003: 253), oleh karena itu perlu dilakukan suatu perencanaan dan perbaikan cara belajar yang dapat meningkatkan pemahaman bagi anak usia sekolah dasar berdasarkan kebutuhan belajar mereka. Di Desa Wali Ate masih banyak anak usia sekolah dasar yang mengalami kesulitan dalam mempelajari matematika khususnya pada materi operasi bilangan bulat, operasi bilangan desimal dan operasi pada bilangan Pecahan (bilangan rasional). Berdasarkan masalah di atas, maka perlu dilakukan pembelajaran berhitung bilangan bulat, bilangan desimal dan bilangan pecahan. Tujuan dari kegiatan pengabdian ini adalah untuk meningkatkan pemahaman konsep operasi pada bilangan bulat, bilangan desimal dan bilangan pecahan bagi anak usia Sekolah Dasar di desa Wali Ate. Adapun Tahapan awal yang akan dilakukan adalah pemberian pretets. Setelah pemberian pretes, selanjutnya diberikan perlakuan yaitu pengajaran operasi bilangan bulat, operasi pada bilangan desimal dan bilangan pecahan (bilangan desimal) dan selanjutnya pemberian posttest. Berdasarkan hasil posttest di atas, terlihat bahwa terdapat peningkatan kemampuan pemahaman berhitung pada anak usia sekolah dasar di desa Wali Ate. Dari hasil pretest dan posttest tersebut, dapat menunjukkan bahwa kegiatan pembelajaran ini memberi manfaat yang baik bagi anak-anak usia sekolah dasar di desa Wali Ate dalam memahami materi tentang perhitungan dasar.
Implementation of Neural Machine Translation in Translating from Indonesian to Sasak Language Wardhana, Helna; Yadi Dharma, I Made; Marzuki, Khairan; Syarif Hidayatullah, Ibjan
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 23 No. 2 (2024)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v23i2.3465

Abstract

Language translation is part of Natural Language Processing, also known as Machine Translation, which helps the process of learning foreign and regional languages using translation technology in sentence form. In Lombok, there are still people who are not very fluent in Indonesian because Indonesian is generally only used at formal events. This research aimed to develop a translation model from Indonesian to Sasak. The method used was the Neural Machine Translation with the Recurrent Neural Network - Long Short Term Memory architecture and the Word2Vec Embedding with a sentence translation system. The dataset used was a parallel corpus from the Tatoeba Project and other open sources, divided into 80% training and 20% validation data. The result of this research was the application of Neural Machine Translation with the Recurrent Neural Network - Long Short Term Memory algorithm, which could produce a model with an accuracy of 99.6% in training data and 71.9% in test data. The highest ROUGE evaluation metric result obtained on the model was 88%. This research contributed to providing a translation model from Indonesian to Sasak for the local community to facilitate communication and preserve regional language culture.