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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

Author-ID : 6543660

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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Penerapan Metode Dijkstra Pada Jalur Distribusi LPG Untuk Penentuan Jarak Terpendek Adi, Novi Hendri; Giatman, Muhammad; Simatupang, Wakhinuddin; Afrina, Afrina; Watrianthos, Ronal
Building of Informatics, Technology and Science (BITS) Vol 3 No 3 (2021): December 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Determining a shortest path is a crucial and necessary thing in connection with optimizing the time used and some savings in other fields. This research aims to design a software for determining the shortest distance on a web-based LPG gas distribution line by applying the Dijkstra solving procedure at PT. Amartha Anugrah Mandiri. This study uses the SDLC (software development life cycle) development method using waterfall modeling, to determine the closest route during the distribution of LPG gas using the Dijkstra solution procedure, namely by determining which location is used as the initial node, then set the distance value at the initial node to neighboring nodes. the closest one by one. The results of this study make it easier for drivers to find the closest route that can be passed to the base location. Dijkstra's solving procedure in the software for determining the shortest distance in the PT. Amartha Anugrah Mandiri can form the shortest distance traveled to get to the base

Implementation Naïve Bayes Classification for Sentiment Analysis on Internet Movie Database Samsir, Samsir; Kusmanto, Kusmanto; Dalimunthe, Abdul Hakim; Aditiya, Rahmad; Watrianthos, Ronal
Building of Informatics, Technology and Science (BITS) Vol 4 No 1 (2022): June 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

A film review is a subjective opinion of someone who has different feelings about each film. As a result, film enthusiasts will struggle to assess whether the film meets their requirements. Based on these issues, sentiment analysis is the best way to fix them. Sentiment analysis, also known as opinion mining, is the study of assigning views or emotional labels to texts in order to determine if the text contains positive or negative thoughts. The Nave Bayes method was chosen because it can classify data based on the computation of each class's probability against objects in a given data sample. The best model was created utilizing data without lemmatization, 500 vector sizes, and Nave Bayes classification, with an accuracy of 78.96 percent and a f1-score of 78.81 percent. Changes in vector size affect the system's capacity to foresee positive and negative sentiments. The difference in accuracy and recall values shows that when vector size 300 is utilized, the precision and recall outcomes are lower than when vector size 500 is used.

Applying Data Mining Techniques to Investigate the Impact of Smoking Prevalence on Life Expectancy in Indonesia: Insights from Random Forest Models Dalimunthe, Abdul Hakim; Samsir, Samsir; Subagio, Selamat; Siagian, Taufiqqurrahman Nur; Watrianthos, Ronal
Building of Informatics, Technology and Science (BITS) Vol 6 No 1 (2024): June 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i1.5201

This study investigates the relationship between smoking prevalence and life expectancy in Indonesian provinces using data mining techniques, specifically focusing on the application of random forests. The primary objective is to quantify the potential impact of reducing smoking prevalence on population health outcomes. Data were sourced from the Indonesian Central Bureau of Statistics, which included life expectancy and smoking prevalence data from 2021 to 2023. The methodology involved aggregating life expectancy data from the district to the province level, followed by the application of a random forest model to predict life expectancy based on smoking prevalence and other socioeconomic indicators. Key findings indicate a weak to moderate negative correlation between smoking prevalence and life expectancy, with higher smoking rates associated with lower life expectancies. Predictive modeling suggests that a reduction in smoking prevalence could lead to significant improvements in life expectancy. For example, a 5% reduction in smoking rates could increase the average life expectancy by approximately 0.3 years, while a 15% reduction could result in an increase of about 0.9 years by 2025. These results underscore the detrimental impact of smoking on population health and highlight the importance of effective tobacco control measures. The predictive models developed in this study provide valuable information for policymakers, enabling targeted public health strategies and resource allocation. This research contributes to the field by demonstrating the utility of data mining techniques in public health and offering a comprehensive analysis of the relationship between smoking and life expectancy in Indonesia. The findings advocate for the urgent implementation of smoking cessation programs to enhance life expectancy and improve public health outcomes

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

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