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All Journal Jurnal Pendidikan Teknologi dan Kejuruan JTEV (Jurnal Teknik Elektro dan Vokasional Jurnal Informatika Upgris Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL MANAJEMEN MOTIVASI JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal BIOEDUIN : Program Studi Pendidikan Biologi Jurnal Basicedu MAJU : Jurnal Ilmiah Pendidikan Matematika Majalah Ilmiah UNIKOM EDUKATIF : JURNAL ILMU PENDIDIKAN Building of Informatics, Technology and Science Informatika EDUTEC : Journal of Education And Technology Journal of Computer System and Informatics (JoSYC) U-NET Jurnal Teknik Informatika Tematik : Jurnal Teknologi Informasi Komunikasi Journal of Informatics Management and Information Technology Journal of Social Responsibility Projects by Higher Education Forum Bulletin of Information Technology (BIT) Jurnal Basicedu Proceeding Applied Business and Engineering Conference Journal of Systems Engineering and Information Technology Jurnal Pendidikan MIPA
Ronal Watrianthos
Universitas Al Washliyah Labuhanbatu
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Pemetaan Bibliometrik Terhadap Riset pada Sekolah Menengah Kejuruan Menggunakan VOSviewer Hendra Sahputra Batubara; Muhammad Giatman; Wakhinuddin Simatupang; Ronal Watrianthos
EDUKATIF : JURNAL ILMU PENDIDIKAN Vol 4, No 1 (2022): February Pages 1-1600
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/edukatif.v4i1.1818

Abstract

Revitalisasi SMK pada saat ini secara langsung memaksa seluruh sarana prasarana pendukung harus meningkatkan kompetensi sesuai standar industri. Misalnya pada peningkatan kompetensi guru yang menjadi kewajiban dan tidak bisa diselesaikan secara instan. Beberapa publikasi terkait peningkatan kompetensi guru ini sudah banyak dilakukan, namun publikasi mengenai revitalisasi SMK masih dirasa minim. Penelitian ini bertujuan memetakan dengan metode bibiliometrik riset-riset mengenai SMK. Pencarian artikel penelitian dilakukan dengan menggunakan aplikasi Harzing's Publish or Perish dengan menggunakan kata kunci “Sekolah Menengah Kejuruan” pada artikel berbahasa Indonesia. Hasil pemetaan menggunakan VOSviewer jumlah publikasi terbanyak pada tahun 2020 dengan 165 publikasi dengan Universitas Negeri Malang sebagai institusi terbanyak dalam menghasilkan publikasi. Sedangkan analisis terhadap topik penelitian terkait SMK berhubungan dengan topik seperti ‘Pengembangan’, ‘Analisis’, ‘Studi Kasus’, dan ‘Manajemen’ sehingga riset-riset terkait SMK lebih banyak berhubungan pada topik ini.
Aplikasi Data Gudang Sparepart Pada Toko Prima Jaya Aek Nabara Menggunakan Visual Basic.Net Kusmanto Kusmanto; Ronal Watrianthos
U-NET Jurnal Teknik Informatika Vol. 3 No. 2 (2019): U-NET Jurnal Teknik Informatika | Agustus
Publisher : LPPM Universitas Al Washliyah Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52332/u-net.v3i2.174

Abstract

Pada saat ini proses pencatatan data persediaan barang pata Toko Prima Jaya Aek Nabara masih dilakukan secara manual, terutama dalam hal pencatatan data masuk dan keluarnya barang serta pembuatan laporan-laporan. Dengan sistem seperti itu menyebabkan sering terjadinya kesalahan yang dapat berdampak pada persediaan barang secara keseluruhan. Dengan dibangunnya aplikasi ini akan membantu proses transaksi keluar dan masuknya barang agar lebih efisien. Dalam membangun aplikasi menggunakan Visual Basic.Net 2008. Apabila aplikasi ini digunakan maka diharapkan dapat mempermudah memberikan informasi kepada pimpinan dan laporan yang dihasilkan merupakan data yang efektif.
Rancang Bangun Media Pembelajaran Berbasis Multimedia Untuk Pendidikan Anak Usia Dini Menggunakan Adobe Flash (TK RA Aisyiyah Simpang Marbau) Tri Hastuti Nasution; Ronal Watrianthos; Raden Sri Ayu Ramadhana
U-NET Jurnal Teknik Informatika Vol. 5 No. 2 (2021): U-NET Jurnal Teknik Informatika | Agustus
Publisher : LPPM Universitas Al Washliyah Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52332/u-net.v5i2.328

Abstract

Pendidikan memegang peranan kunci dalam pengembangan sumber daya manusia dan insan yang baik. Kemajuan pendidikan di Indonesia secara kuantitas cukup menggembirakan, akan tetapi secara kualitas pengembangannya masih belum merata. Pada salah satu mata pelajaran kejuruan multimedia, yaitu desain multimedia kompetensi dasar menerapkan pengemasan produk multimedia dalam pembelajaran pembentukan desain kemasan, dapat diketahui bahwa peserta didik mengalami kendala pada multimedia.
Algoritma K-Means Untuk Analisis Presepsi Masyarakat Labuhanbatu Dalam Promosi Produk Berbasis Digital Pasca COVID-19 Shabrina Rasyid Munthe; Sudi Suryadi; Muhammad Irwansyah Hasibuan; Ibnu Rasyid Munthe; Ronal Watrianthos
U-NET Jurnal Teknik Informatika Vol. 5 No. 2 (2021): U-NET Jurnal Teknik Informatika | Agustus
Publisher : LPPM Universitas Al Washliyah Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52332/u-net.v5i2.346

Abstract

The Labuhanbatu community who do business by promoting products utilize digital products with 142 post-covid-19 business actors where the attributes used are the use of the internet, social media, and product promotion. A total of 47 people took advantage, and as many as 95 business actors did not take advantage of product promotion opportunities. The method used for clustering is the K-Means algorithm and the process uses the CRISP-DM model. It is known that the results are processed using the rapidminer tool.
Pengembangan Model Problem-Based Learning Untuk Mengetahui Keterampilan Pembelajaran dan Refleksi Mahasiswa Pendidikan Biologi Rahmi Syafriyeti; Witma Novita Atnur; Ronal Watrianthos
Jurnal BIOEDUIN : Program Studi Pendidikan Biologi Vol 11, No 2 (2021): Bioeduin Agustus
Publisher : Department of Biology Education UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/bioeduin.v11i2.14311

Abstract

Analisis Sentimen Pembelajaran Campuran Menggunakan Twitter Data Ronal Watrianthos; Muhammad Giatman; Wakhinuddin Simatupang; Rahmi Syafriyeti; Nelly Khairani Daulay
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 1 (2022): Januari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i1.3383

Abstract

Mixed learning methodologies have been disputed in terms of educational quality when it comes to self-study. Educators face specific challenges when making hybrid learning work since they must adjust to teaching while also strengthening their technological abilities. The blended learning paradigm, which is commonly adopted in many educational institutions, can produce a slew of issues for students. The goal of this essay is to gather thoughts about distance learning based on social media comments. This study creates a classification model using Twitter tweet data by assessing public perceptions and acceptance of the mixed learning model. The findings of examining thoughts regarding this model include categorizing tweets as favorable or unfavorable using the Twitter sentiment analysis approach. The results revealed an almost equal polarization of positive and negative sentiments, with 44.51 percent positive and 45.80 percent negative. More research can be done to analyze attitudes not just on Twitter but also on other social media platforms to improve public opinion accuracy about mixed learning in a pandemic crisis.
Model Pengenalan Suara Teks Bebas Menggunakan Algoritma Support Vector Machine Muhammad Bobbi Kurniawan Nasution; Kusmanto Kusmanto; Sudi Suryadi; Ronal Watrianthos
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 4 (2020): Oktober 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i4.2436

Abstract

Voice authentication can be done because there are physical differences in the voice production organs of each person. The user's spoken sound pattern can be used as a voice command as desired. Some features such as accents, intonation, and the way pronunciation produce different patterns. For identification verification, voice data is divided into two groups: voice with defined text and voice with free text. Sounds resulting from the pronunciation of a particular word can be changed from analog to digital form. This change process will result in representation in vector form. One technique in voice recognition classification is the Support Vector Machine (SVM). The study aims to develop SVM algorithms to create free text-based speech patterns, recognition models. The sound pattern classification process uses three kernels for the data set so that the comparison results will be more accurate. The highest accuracy in the linear kernel is found in the 4th loop in the third fold with an accuracy rate of 94.40%. While in the polynomial kernel the highest accuracy at the 6th iteration of the second fold with an accuracy of 96.80%. The highest accuracy rate is found in the RBF kernel on the 8th loop of the third fold with 98.20% accuracy. These test results prove the RBF kernel has the best level of accuracy in free text-based speech recognition.
Analisis Pengaruh Penggunaan Facebook Bagi Mahasiswa dan Hubungannya dengan Gangguan Kecanduan Facebook Ronal Watrianthos; Ibnu Rasyid Munthe; Rahma Muti’ah
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 3, No 3 (2019): Juli 2019
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v3i3.1178

Abstract

Along with the rapid development of Social Networking Sites (SNS), social media, recently, has become a lifestyle for many people around the world, including in Indonesia. The data in January 2018 showed that in Indonesia out of 132.7 million internet users, almost all (131 million), or up 23% from the data in 2017, were Facebook users with the dominance of 18-24 years old, 35% of whom were the highest active users. The rapid growth of Facebook users annually in Indonesia, especially in the age of students and college students, encourages researchers to conduct many empirical studies of Facebook use among students. There is a tendency for using Facebook continuously to create FAD effects (Facebook Addiction Disorder) among students and can affect the spirit of learning. This study also discusses what is the motivation for using Facebook and seeing the potential for FAD to occur. In this study, an online survey over 375 respondents from several students in Labuhanbatu District was conducted. To explore respondents' motives in using Facebook, respondents were given questions that were divided into the following five motives: social interaction, leisure time, entertainment, friends, and communication. While to look for potential addiction, respondents were given questions using the Bergen Facebook Addiction (BFAD) scale. In getting a connection between the motives for using Facebook and Facebook Addiction, the data was tested by analysis of variants (ANOVA) and partial tests using SPSS software. The results obtained were 65.8% of participants were at a moderate level, while 20.3% were at a low level, and only 13.9% of participants were at a high level. While the most significant motive affecting respondents in using Facebook is the motive to fill the time and motives for communicating.
Analisis Sentimen Pembelajaran Daring Pada Twitter di Masa Pandemi COVID-19 Menggunakan Metode Naïve Bayes Samsir Samsir; Ambiyar Ambiyar; Unung Verawardina; Firman Edi; Ronal Watrianthos
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 1 (2021): Januari 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i1.2580

Abstract

The WHO announced that more than 52 million people tested positive for Covid-19, and 1.2 million died in the second week of November 2020. Meanwhile, Indonesia recorded 463 thousand individuals with 15,148 deaths that were confirmed positive. Strategy against pandemics by incorporating socialization. However, learning that was initially bold as a technique became controversial due to the briefness of the adaptation process. a wide continuum of social reactions has resulted in the sudden transition from face-to-face learning to bold learning on a large scale. This research focuses on public opinion on online learning during the Indonesian COVID-19 pandemic in early November 2020. The analysis was carried out on Twitter by mining document-based text that was interpreted using the Naïve Bayes algorithm. The results show that online learning has a positive sentiment of 30 percent, a negative sentiment of 69 percent, and a neutral 1 percent over the period. Due to community dissatisfaction about online learning, a significant amount of negative sentiment is created. Some tweets indicate disappointment with the words' stress 'and' lazy 'in the conversation being high-frequency words.
Penerapan Metode PROMETHEE-GAIA Dalam Pemeringkatan Perguruan Tinggi di Indonesia Ronal Watrianthos; Reti Handayani; Wakhinuddin Simatupang; Dedy Irfan; Mukhlidi Muskhir
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 1 (2022): Januari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i1.3419

Abstract

The Ministry of Research, Technology and Higher Education has been conducting university rankings since 2015. The goal is to map or build Indonesian universities. This ranking is known as university clustering, and it is separated into two categories: non-vocational/academic institutions and vocational universities. The goal of this research is to create higher education clusters based on the four key indicators that have been identified. The Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) II decision model in Multi-Criteria Decision Making (MCDM) was employed, together with Geometrical Analysis for Interactive Aid (GAIA) as geometric analysis in the form of decision-making visualization. This investigation yields alternative 2 with a phi of 0.5125 as a compelling value, followed by alternatives 3 and 1. According to the data, the second university out of the five evaluated had the best performance based on the four weights of the Indonesian higher education clustering indicator.
Co-Authors Abdi Harfani Abdullah, MT, Dr. Rijal Ade Parlaungan Nasution, Ade Parlaungan Afrina, Afrina Agariadne Dwinggo Samala Agus Perdana Windarto Ahmad Habin Sagala Ambiyar Ambiyar Ambiyar, Ambiyar Aminuyati Arie Pramana Arif Rizki Marsa Basyarul Ulya Batubara, Hendra Saputra Dalimunthe, Abdul Hakim Danil Polanda Deci Irmayani Decky Antony Kifta Dedi Mardianto Dedy Irfan Dheo Rimbano Endi Zunaedy Pasaribu Erlia Utami Panjaitan Fadhilah Fadhilah Fahmi Rizal Fazlur Rahman Firman Edi Firman Edi Firman Edi Gomal Juni Yarnis Gulo, Ria Nurani Hasibuan, Abdul Khairul Arby Hasibuan Hasibuan, Rosmidah Hendra Sahputra Batubara Hilman Taufik, Riski Nurjannah Ibnu Rasyid Munthe ibnu Rasyid Munthe Ibnu Rasyid Munthe Ibnu Rasyid Munthe Indarta, Yose Ismael Iwan Purnama Kelik Sussolaikah Khairul Kusmanto Kusmanto Kusmanto Kusmanto M Fauzi Romadhon Marpaung M. Giatman Marnis Nasution Mesra Wati Ritonga Mesran Mesran Mesran, Mesran Muhammad Bobbi Kurniawan Nasution Muhammad Irwansyah Hasibuan, Ira Triyana Dewi, Muhammad Syaifullah Muhammad Syaifullah, Muhammad Mukhlidi Muskhir Munthe, Ibnu Rasyid Nelly Khairani Daulay Nelly Khairani Daulay Nizwardi Jalinus Novi Hendri Adi Pasaribu, Endi Zunaedy Peronika Hulu Putra Akhir, Ade Fitrah Raden Sri Ayu Ramadhana Rahma Muti’ah Rahmad Aditiya Rahmi Syafriyeti Rahmi Syafriyeti Ratna Aisyah Siregar Refdinal, Refdinal Reti Handayani Reti Handayani Ria Nurani Gulo Rita Yunida Rizki Kurniawan Rangkuti Rosmidah Hasibuan S Solikhun Samsir Samsir Samsir Samsir Samsir Samsir Samsir Samsir, Samsir Saragih, Reagan Surbakti Shabrina Rasyid Munthe Shabrina Rasyid Munthe Siagian, Taufiqqurrahman Nur Simanjorang, Elida F. S. Simatupang, Wakhinuddin Simatupang, Wakhinuddin Subagio, Selamat Sumitro Sarkum Suryadi, Sudi Syahril Syahril Tri Hastuti Nasution Unung Verawardina Unung Verawardina Unung Verawardina Wahyu Azhar Ritonga Wanto, Anjar Waskito Witma Novita Atnur Yose Indarta Yose Indarta Yuhefizar Yuhefizar Zulkifli