Article Per Year (5 Year)
p-Index From 2021 - 2026
4.589
P-Index
This Author published in this journals
All Journal TEKNIK INFORMATIKA Seminar Nasional Aplikasi Teknologi Informasi (SNATI) INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Jurnal Varian Media Informatika Jurnal Bumigora Information Technology (BITe) Target : Jurnal Manajemen Bisnis juremi: jurnal riset ekonomi ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Jurnal: International Journal of Engineering and Computer Science Applications (IJECSA) Jurnal Ilmiah Pengabdian dan Inovasi Jurnal Edukasi dan Pengabdian kepada Masyarakat (JEPKM) JUAN: Jurnal Pengabdian Nusantara UPGRADE: Jurnal Pendidikan Teknologi Informasi Jurnal Pengabdian Pada Masyarakat IPTEKS Prosiding Seminar Nasional CORISINDO
Helna Wardhana
Universitas Bumigora
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

Published : 29 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 29 Documents
Search

 1   2   3 
Pengembangan Sistem Informasi Tanaman Obat Indonesia Berbasis Ontologi dengan Apache Jena Fuseki untuk Pemrosesan Informasi Semantik Vidiasari, Viviana Herlita; Wardhana, Helna; Santoso, Heroe
CORISINDO 2025 Vol. 1 (2025): Prosiding Seminar Nasional CORISINDO 2025
Publisher : CORISINDO 2025

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/corisindo.v1.5346

Abstract

Indonesia dikenal kaya akan sumber daya alam, termasuk keanekaragaman hayati tanaman yang dimanfaatkan secara turun-temurun dalam pengobatan tradisional. Namun, penyebaran informasi yang tidak terstruktur menyulitkan pencarian data. Penelitian ini bertujuan untuk mengembangkan sistem informasi tanaman obat Indonesia berbasis ontologi dengan pendekatan Web Semantik agar pengetahuan dapat direpresentasikan secara eksplisit dan bermakna. Metodologi yang digunakan adalah Methontology, mencakup tahapan spesifikasi, akuisisi pengetahuan, konseptualisasi, integrasi, implementasi, evaluasi, dan dokumentasi. Ontologi dibangun menggunakan perangkat lunak Protégé dan diintegrasikan ke dalam Apache Jena Fuseki sebagai SPARQL endpoint. Web interface dikembangkan menggunakan Visual Studio Code dengan HTML, CSS, dan JavaScript untuk memungkinkan pencarian data secara interaktif. Evaluasi dilakukan menggunakan reasoner dan pengujian kueri SPARQL untuk memastikan konsistensi dan keterhubungan data. Hasil penelitian menunjukkan bahwa sistem mampu menyajikan informasi tanaman obat secara lengkap, terstruktur, dan siap untuk dikembangkan lebih lanjut
APLIKASI MONITORING PENERIMA BEASISWA BIDIKMISI BERBASIS WEB, ANDROID DAN SMS GATEWAY Helna Wardhana; Baiq Dinda Uswatun Hasanah
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 16 No. 1 (2016)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v16i1.20

Abstract

Scholarships Bidikmisi (Education Support Student Achievement) is a tuition assistance is only intended for prospective students disadvantaged (poor). Bidikmisi scholarship program's mission is to revive hope for the poor and have adequate academic potential. STMIK Bumigora Mataram monitoring of scholarship recipients Bidikmisi still manually.Student party still controlling the GPA through the academic part and the difficulty in controlling the GPA scholarship recipients. The scholarship recipients and parents do not get information on the disbursement of funds led to lack of openness between students and parents. The solution of the existing problems is made Scholarship Bidikmisi Monitoring System Based Web, Android and SMS gateway. Through the website of the student can control GPA scholarship students each semester. Android applications can facilitate the control of student scholarship students only through mobile android, and with the SMS Gateway facilitate scholarship students and parents to get information on the disbursement of the funds.The conclusions obtained from this study is that the monitoring system can provide convenience for the student in control of the grantee Bidikmisi. This can be evidenced by the respondents who answered disagree as much as 75% and as much as 25% who answered strongly agree.
SISTEM INFORMASI PEMANTAUAN STATUS GIZI BALITA Khasnur Hidjah; Helna Wardhana; Heroe Santoso; Anthony Anggrawan
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 15 No. 2 (2016)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v15i2.35

Abstract

Based on interviews with staff nutrition Health Offce (Dikes) West Lombok, that is not currently available information systems that can be used to input data monitoring nutritional status of children. So it still takes a very long time to get the right information related to monitoring the nutritional status of children and families aware of nutrition per each district. The primary data sourced directly from the community gathered by Puskesmas offcers. Analysis of the data needed to meet the needs of data input, process and report to the monitoring system of nutritional status include: site identifcation, the identity of the household, the habit of weighing the family members, the question for pregnant or postpartum mothers, the nutritional intake of the family, the identity of a toddler, a child’s weight. The expected benefts of the outcomes defned as follows: enhance the ability to analyze the situation of food and nutrition in every region, able to set the priority handling of food and nutrition, able to monitor and evaluate the development of food and nutrition, improve community health status is marked as well as out of the category of problematic areas of health, especially malnutrition and less.
Aplikasi Dynamic Cluster pada K-Means BerbasisWeb untuk Klasifikasi Data Industri Rumahan Hadi Santoso; Hilyah Magdalena; Helna Wardhana
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 21 No. 3 (2022)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v21i3.1720

Abstract

Masalah utama yang dihadapi Pemerintah Daerah Provinsi Kepulauan Bangka Belitung saat ini adalah sulitnya mengklasifikasikan data industri rumahan berdasarkan Peraturan Menteri PPPA No 2 Tahun 2016 yaitu pemula, berkembang dan maju. Berdasarkan permasalahan tersebut diusulkan pengembangan algoritma Kmeans yaitu algoritma Dynamic cluster pada K-means dengan tujuan agar dapat menghasilkan klaster yang optimal dalam pengelompokan data industri rumahan dengan membangun aplikasi cerdas berbasis web. Penelitian ini menggunakan metode analisis data mining SEMMA, yang meliputi tahapan-tahapan seperti data sampel, deskripsi data, transformasi data, pemodelan data, dan evaluasi data. 3.466 industri rumah tangga digunakan sebagai sampel data. Kinerja algoritma dievaluasi menggunakan pengukuran validitas klaster Davies Bouldin Index (DBI). Hasil eksperimen menunjukkan bahwa algoritma Dynamic cluster pada K-means memberikan nilai yang optimal pada iterasi ke lima, dengan perolehan sebagai berikut: klaster pemula (C1) diperoleh sebanyak 3214, kemudian klaster berkembang (C2) diperoleh sebanyak 167 dan klaster maju (C3) diperoleh sebanyak 85. Hasil evaluasi validitas klaster menunjukan bahwa algoritma Dynamic cluster pada Kmeans memperoleh nilai DBI lebih kecil dibandingkan dengan algoritma K-means dengan nilai DBI sebesar 0.184. Implementasi algoritma dynamic cluster pada K-means untuk pengelompokan data industri rumahan pada Dinas P3ACSKB di Provinsi Kepulauan Bangka Belitung terbukti menghasilkan kualitas cluster yang lebih optimal.
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 : 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.
A Comparative Study of AutoSARIMAX and Long Short-Term Memory Models for Tourist Arrival Forecasting Saptarini, Dian; Saputri, Dian Syafitri Chani; Wardhana, Helna; Martono, Galih Hendro
Jurnal Varian Vol. 9 No. 1 (2026)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v9i1.5771

Abstract

This study aims to predict the number of tourist arrivals in West Nusa Tenggara (NTB) Province using two forecasting approaches: AutoRegressive Integrated Moving Average with Exogenous Variables (AutoSARIMAX) and Long Short-Term Memory (LSTM). The dataset was obtained from the Central Bureau of Statistics (BPS) of NTB and consists of international and domestic tourist arrivals and monthly inflation rates for the period 2014–2023. The research process includes data collection, preprocessing, model construction, and result evaluation. The AutoSARIMAX model is applied to capture linear relationships with exogenous variables, while LSTM is employed to model long-term nonlinear patterns. The findings reveal that the LSTM model achieved better forecasting performance, with a Mean Absolute Percentage Error (MAPE) of 2.65%, which is lower than AutoSARIMAX with 3.25%. Nevertheless, AutoSARIMAX provides valuable interpretability regarding the influence of inflation on tourist arrivals. Overall, the comparison between the two models indicates that LSTM is more effective for time-series forecasting of tourist arrivals, while AutoSARIMAX remains useful for analyzing causal relationships. These insights can support decision-making in tourism planning, particularly in anticipating fluctuations driven by economic and external factors.
SEMINAR STRATEGI BERTAHAN DALAM MENGHADAPI PERMASALAHAN PADA PERUSAHAAN TEKNOLOGI L. Jatmiko Jati; Raden Bagus Faizal Irany Sidharta; Rini Anggriani; Helna Wardhana; Susilo Talidobel
JUAN: Jurnal Pengabdian Nusantara Vol. 2 No. 4 (2025): Oktober 2025
Publisher : CV Sentra Nusa Connection

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63545/juan.v2.i4.171

Abstract

Di era modern ini, kebutuhan konsumen telah berubah secara signifikan sebagai akibat dari tingkat kreativitas dan inovasi yang tinggi. Metode pelaksanaan kegiatan ini yakni pendidikan masyarakat, difusi iptek, dan tanya jawab. Acara seminar ini dilaksanakan untuk memberikan solusi bagi permasalahan mitra mengenai kurangnya wawasan tentang strategi bertahan menghadapi permasalahan perusahaan. Acara seminar ini terbukti mampu mentransfer ilmu pengetahuan kepada peserta. Hal ini dibuktikan dengan hasil dokumen Post-Test yang berbeda dengan dokumen Pre-Test yang di bagikan sebelum acara dimulai. Dokumen Pre-Test menunjukkan mayoritas peserta yang masih tidak mengetahui bagaimana strategi tepat untuk keluar dari permasalahan perusahaan, sedangkan dokumen Post-Test yang di bagikan setelah acara selesai menunjukkan mayoritas peserta merasa memiliki wawasan dan ilmu pengetahuan lebih setelah mengikuti acara seminar.
Segmentasi Performa Kamar Hotel dengan Algoritma K-Means dan Strategi Pemasaran Menggunakan Dashboard Power BI I Made Putra Sutresna Gita; Kartarina; Made Yadi Dharma; Ismarmiaty; Helna Wardhana
Media Informatika Vol 25 No 2 (2026)
Publisher : P3M STMIK LIKMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37595/mediainfo.v25i2.537

Abstract

The tourism industry, particularly the hospitality sector in Indonesia, faces challenges in effectively managing room performance to support data-driven marketing strategies. Lomboks Hotel faces limitations in analyzing room performance because data processing is still done manually, making it less than optimal in supporting strategic decision-making. This study aims to apply the K-Means Clustering method to group room performance based on the number of guests, occupancy rate, room revenue, and occupancy level, as well as to design an interactive dashboard as a medium for visualizing the clustering results. The research methods include processing historical room data, the clustering process using K-Means Clustering, and presenting the results in the form of a visual dashboard. The results show the formation of three room performance clusters with distinct characteristics. The novelty of this study lies in the integration of data mining techniques and a visual decision support system for real-time monitoring of room performance. The conclusion indicates that this approach enhances the effectiveness of analysis and supports the formulation of more adaptive hotel marketing strategies
UI/UX Instrument Validity and Reliability in Augmented Reality Geometry Learning with Hand Gestures Recognition Dyah Susilowati; Dian Syafitri Ch.; Helna Wardhana; Sultan Fahrurazy
Upgrade : Jurnal Pendidikan Teknologi Informasi Vol 4 No 1 (2026): Agustus 2026 In-Press
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/upgrade.v4i1.6337

Abstract

The implementation of Augmented Reality learning media in authentic educational contexts requires a rigorous instrument to assess usability, interaction quality, user satisfaction, and learning support. This study aimed to examine the validity and reliability of a User Interface/User  Experience instrument used to evaluate augmented reality-based geometry learning media integrated with hand gesture recognition. This study employed a Research and Development approach, which focused on instrument testing conducted as part of the product evaluation phase. Content validity was established through expert assessment, followed by construct validation using Confirmatory Factor Analysis. The analysis demonstrated an excellent measurement model, with a Comparative Fit Index of 1.000, Root Mean Square Error of Approximation of  0.000, and Goodness of Fit Index of 0.995. Reliability analysis produced coefficients of 0.959 for the User Interface construct, 0.935 for User Experience, and 0.968 for the complete instrument, indicating strong internal consistency. These findings indicated that the instrument achieved a high level of validity and satisfactory reliability, demonstrating its appropriateness and consistency for evaluating user experience in interactive learning environments. The study provides a psychometrically robust evaluation instrument that can be used to systematically assess the quality of Augmented Reality-based interactive geometry learning media and support more credible evaluation of user interaction and learning experiences.
Co-Authors Abdul Karim Abdul Rahim Agus Harjoko Aguswandi, Lalu Heri Andaru, Bidari Anggarawan, Anthony Anggriani, Rini Anthony Anggrawan Ardiasyah, Muhammad Irwan Ayu Dasriani, Ni Gusti Baiq Dinda Uswatun Hasanah Bidari Andaru Bidari Andaru Widhi Bidari Andaru Widhi Bryan Jonathan Hutapea Cahyadi, Irwan Canggih Wahyu Rinaldi christofer satria Dian Saptarini Dian Syafitri Ch. Dian Syafitri Chani Saputri Dyah Susilowati Dyah Susilowati Elyakim Nova Supriyedi Patty, Elyakim Nova Supriyedi Erwin Suhendra Fadli, M. Najmul Fitriani, Nurul Galih Hendro Martono Hadi Santoso Hadi Santoso Herawati, Baiq Candra Hijjah, Khasnur Hilyah Magdalena Husain Husain I Made Putra Sutresna Gita I Made Yadi Dharma Ibjan Syarif Hidayatullah Ibrahim, Isra Dewi Kuntary Irwan Cahyadi Ismarmiaty Jauharatun Makni Kartarina Kartika Lestari Ketut Bayu Yogha Bintoro Khairan marzuki Khairunnisa Khasnur Hidjah Kurniawati, Erna Yovi Lalau Ganda Rady Putra Limas, Cindy Cornelia Made Yadi Dharma Miswaty, Titik Ceriyani Muhammad Irwan Ardiasyah Muhammad Maulana Nurul Fitriani Panji Tanashur Puspita Dewi, Puspita Raden Bagus Faizal Irany Sidharta Rini Anggriani Rini Anggriani Riyana Rizki Yuliatin Rizka Darmayanti Rosidah Alawiyah Santoso, Heroe Satya HD, Dharma Setyawan, Ari Sirojul Hadi Siti Soraya Sri Astuti Iriyani Sultan Fahrurazy Susilo Talidobel Tenia Wahyuningrum Vidiasari, Viviana Herlita Widayatul Khairi Wira Hendri Zulfiana