Article Per Year (5 Year)
p-Index From 2021 - 2026
4.219
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 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 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 : 27 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 27 Documents
Search

 1   2   3 
Implementation Of The Simple Additive Weighting Method At Universitas Terbuka Mataram For New Employee Recruitment Husain, Husain; Santoso, Heroe; Wardhana, Helna; Ardiasyah, Muhammad Irwan; Fitriani, Nurul
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.
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.
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 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 Yadi Dharma Ibjan Syarif Hidayatullah Ibrahim, Isra Dewi Kuntary Irwan Cahyadi Jauharatun Makni Kartika Lestari Ketut Bayu Yogha Bintoro Khairan marzuki Khairunnisa Khasnur Hidjah Kurniawati, Erna Yovi Lalau Ganda Rady Putra Limas, Cindy Cornelia Miswaty, Titik Ceriyani Muhammad Irwan Ardiasyah Muhammad Maulana Nurul Fitriani Panji Tanashur Puspita Dewi, Puspita Rini Anggriani Riyana Rizki Yuliatin Rizka Darmayanti Rosidah Alawiyah Santoso, Heroe Satya HD, Dharma Setyawan, Ari Sidharta, Raden Bagus Faizal Irany Sirojul Hadi Siti Soraya Sri Astuti Iriyani Susilo Talidobel Tenia Wahyuningrum Vidiasari, Viviana Herlita Widayatul Khairi Wira Hendri Zulfiana