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All Journal InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Sinkron : Jurnal dan Penelitian Teknik Informatika JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Penelitian Pendidikan IPA (JPPIPA) JURNAL PENDIDIKAN TAMBUSAI JURNAL TEKNOLOGI INFORMASI Jurnal Mantik Informatika Dinasti International Journal of Digital Business Management U-NET Jurnal Teknik Informatika Jurnal Teknologi Informasi dan Komunikasi Jurnal Minfo Polgan (JMP) Journal of Computer Science and Information Systems (JCoInS) Journal of Student Development Information System (JoSDIS) Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Pengabdian Masyarakat Gemilang (JPMG) Journal Pengabdian Kepada Masyarakat Balakka Paluta Jurnal Komprehenshif Jurnal Bima Telecommunications, Networks, Electronics, and Computer Technologies (TELNECT) Jurnal Komputer dan Teknologi Informasi Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Jurnal Sistem Informasi dan Ilmu Komputer
Sitorus, Sahat Parulian
Universitas Labuhanbatu
Religion Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology 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 Library & Information Science Materials Science & Nanotechnology Mathematics Physics Public Health Social Sciences Other

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Applying genetic algorithm for optimization income value Siagian, Ayu Febri; Yanris, Gomal Juni; Sitorus, Sahat Parulian
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 2 (2022): Articles Research Volume 6 Issue 2, April 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i2.11431

Abstract

In this digital era, the use of information technology and internet technology cannot be separated from digital services. Starting from product promotion media, recording customer data, determining the amount of revenue from product sales, and optimizing the value of revenue. Sales of digital service products owned by PT. XYZ needs to be evaluated to find out which products are most in demand by customers from each product offering that has been made. Therefore we need a system to calculate revenue from the number of customers who use the product for further promotion. The object of this research focuses on optimizing the value of income at PT. XYZ of the products they market, the results of the object will be used as an evaluation to determine a new strategy in carrying out promotions for products that are less attractive to customers. The data used in this study is customer data for January 2017-December 2021. The method used in this study uses a genetic algorithm to determine the optimization of the revenue value. For the optimization results, the genetic algorithm went well, because it resulted in a smaller comparison of error values ​​compared to values ​​that were not optimized. The error value in January 2019 with a non-optimized value was 35,498.8 and the optimized value got an error value of 32,364.9. The results of this study are used as a sales evaluation to increase promotions on digital services that are less attractive to customers. In addition, the results of the application of this genetic algorithm method can provide a better solution to increase income in the next period.
Analysis performance of content delivery network by used Rateless Code method Sitorus, Sahat Parulian; Hasibuan, Elysa Rohayani; Rohani, Rohani
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 4 (2022): Article Research: Volume 6 Number 4, October 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i4.11651

Abstract

Content Delivery Network (CDN) is a server system network to content contribution in an application/web to various accessors around the world so that data sent and received by users was faster. Server selection algorithm determines the extent to which the quality of server service to client requests. This study to analyze  CDN performance, used Geographical algorithm Domain Name Server (GeoDNS), Round Robin (RR), Weigthed Round Robin (WRR), dan Least Connection (LC). In addition, Rateless Code (RLC) is also applied to reduce packet loss, there are two methods used, namely the first method is rateless code 50 and the second method is rateless code 100. Thus, the trial was carried out 20 times. Besides that, it is also applied Rateless Code (RLC) to less packet loss. From the research results, the use of CDN can improve server service performance. CDN managed to reduce the maximum to the average delay about 67,6%. From the studied CDN algorithm, Geo DNS experienced the lowest delay up to about 67.6 ms, however LC experienced the lowest packet loss, namely about 2,84%. The application of rateless code on CDN with LC algorithm succeeded in reducing packet loss to about 2.84%, but delay increased to about 75.3%.
PEMBERDAYAAN MASYARAKAT UNTUK MENINGKATKAN UMKM DI DESA TEBING LINGGAHARA BARU Sahat Parulian Sitorus, Sidik Pane
JURNAL BIMA Vol 1 No 2 (2023): (November)
Publisher : PT.JNDI, JURNAL BIMA

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Abstract

The focus of service journal articles is on the issue of community empowerment through Micro, Small and Medium Enterprises (MSMEs) in improving community welfare. Conditions following the Covid-19 pandemic have resulted in declining MSME productivity, so there is a need for new innovations, especially in the marketing sector. The aim of the service is to find out the results of community empowerment through MSMEs in improving community welfare and the contribution of intern students in community empowerment efforts through MSMEs in improving the welfare of the people of the Cliff Linggahara Baru village in the post-Covid-19 period. The service methodology refers to the SISDAMAS method or a method based on community empowerment. The SISDAMAS method has several cycles consisting of social reflection, social mapping and community organizing, participatory planning and program synergy, program implementation and evaluation monitoring. The results of service in the form of community empowerment through MSMEs in improving community welfare are so that people can live more independently, prosperously and have knowledge about production businesses. The impact of community empowerment is firstly from a social perspective, the community can work together and build strong solidarity. Second, the impact on the economy, namely improving the economic level of society by earning sufficient income. Third, the impact on education is that people gain knowledge and insight after participating in community empowerment. The socialization activities are carried out as an effort to stimulate business actors to continue to be creative and innovate in their respective business fields by prioritizing digital literacy as an important point in facing the digital era like today. In the end, it is hoped that this activity will be beneficial for MSMEs in the culinary sector in the Jatinangor area by involving various parties such as business partners, academics, and local government so that the economy continues to grow and has a good impact on the local community.
SISTEM PENGOLAHAN DATA PERNIKAHAN PADA KUA KECAMATAN TANJUNG TIRAM Sahat Parulian Sitorus, Nurhasanah
JURNAL BIMA Vol 1 No 2 (2023): (November)
Publisher : PT.JNDI, JURNAL BIMA

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Abstract

KUA (Religious Affairs Office) is a public institution that represents Islamic religious affairs to officially marry a couple (man and woman) in the eyes of the law in Indonesia. KUA is a public institution organized by the government which carries out some of the tasks of the Regency and City Ministry of Religion, especially in the field of Islamic religious affairs, Tanjung Tiram District, Batu Bara Regency. The duties of the Tanjung Tiram District KUA include marriage registration and reconciliation services in the Tanjung Tiram District location. Apart from providing good service to the community, it is also necessary to record marriage data and references that are integrated on an application basis. Based on data in the field, the process of recording marriages and reconciliations still uses paper media as data archives, so it takes a long time to search for data in making reports. The system for processing marriage registration data and making reports also makes it easier for people who want to register for marriage registration. The software system development uses Visual Basic as the programming language and Microsoft Access as the database. This application system can provide information regarding the marriage contract schedule and make it easier for the KUA head to report on the implementation of the marriage contract to make institutional policies.
SOSIALISASI PENINGKATAN POPULASI POHON BUAH – BUAHAN DI DESA SIDORUKUN Siti Hartati Yusida Saragih, Nadia Putri Ad’ha, Sahat Parulian Sitorus, Rahmadani Pane, Rahmi Nazlia
JURNAL BIMA Vol 2 No 2 (2024): (April)
Publisher : PT.JNDI, JURNAL BIMA

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Abstract

Fruit trees are used as an alternative for greening in Sidorukun Village. Fruit trees have many benefits. Currently, many people lack food, one of which is a source of vitamins from fruit trees. This study aims to socialize the diversity of fruit trees and to determine the population and dominant types of fruit trees in Sidorukun Village. This activity will be carried out in April 2024 in Sidorukun Village, Pangkatan District, Labuhanbatu Regency. The results of the activity show that the fruit trees in Sidorukun Village consist of Banana, Rambutan, Matoa, Kedondong, Mango, Dragon Fruit, Water Guava, Longan, Lime, Kaffir Lime, Papaya, Durian, Jamaican Guava, Mangosteen, Pineapple, Stone Guava , Sapodilla and Starfruit. The fruit tree populations that dominate Sidorukun Village are the Rambutan, Mango and Banana populations.
Studi Tentang Ancaman dan Solusi Serangan Siber di Indonesia Parulian, Sahat; Pratiwi, Devi Anassafila; Yustina, Meiliya Cahya
Telecommunications, Networks, Electronics, and Computer Technologies (TELNECT) Vol 1, No 2 (2021): Desember 2021
Publisher : Program Studi S1 Sistem Telekomunikasi Universitas Pendidikan Indonesia Kampus Purwakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/telnect.v1i2.40866

Abstract

Sepanjang bulan januari sampai dengan juli 2021 tercatat 741.441.648 ancaman siber yang telah terjadi di Indonesia. Ancaman siber tersebut memiliki dampak yang sangat berbahaya bahkan potensi ancaman bagi pemilik akun yang diserang. Adapun tujuan dari penelitian ini adalah untuk mengetahui apa yang dimaksud dengan ancaman siber, menganalisis beberapa kasus-kasus yang sering berpotensi dengan penyerangan siber, apa saja faktor-faktor yang mempengaruhi terjadinya ancaman siber saat ini, seberapa besar pengaruh ancaman siber pada data pribadi, dan analisis bagaimana solusi pencegahan yang dapat dilakukan dalam menghadapi ancaman siber. Penelitian ini menggunakan pendekatan studi literatur dari sumber-sumber terpercaya dengan mengamati dan menganalisa berbagai kasus yang sedang terjadi saat ini. Berdasarkan hasil yang dillakukan penulis bahwa terjadi peningkatan ancaman siber sebesar 6,15% yang terjadi di Indonesia dari tahun 2020 s/d 2021, ancaman yang sering terjadi di antaranya serangan Denial of Service (Dos) Attack yang berupa serangan synflood dan ICMP flood, phising, serta pencurian data pribadi.  Mitigasi yang dapat dilakukan dari ancaman siber antara lain tidak mudah termakan isu berita hoax, memastikan setiap informasi yang diberikan dari orang lain dan yang lainnya
EFFECT OF WORK ENVIRONMENT AND MOTIVATION ON WORKLOAD AND ITS IMPLICATIONS ON EMPLOYEE PERFORMANCE PT. PLN (PERSERO) UP3 KEBON JERUK Parulian, Sahat; Ahmad Hidayat Sutawijaya
Dinasti International Journal of Digital Business Management Vol. 1 No. 2 (2020): Dinasti International Journal of Digital Business Management (February - March
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (538.215 KB) | DOI: 10.31933/dijdbm.v1i2.134

Abstract

This study aims to determine and clarify the effect of work environment and work motivation for workload and its implementation on employee performance. Respondents 67 employees (entire population). Data collection is done through interviews and questionnaires. Data were analyzed using path analysis (SmartPls 3.0 software) and correlation matrix between dimensions (SmartPls 3.0 software). The results showed that: (1) Work Environment and Motivation both partially and simultaneously affect Employee Performance; (2) Work environment, motivation and workload both partially and simultaneously affect employee performance; (3) Workload mediates the work environment and motivation on performance. Based on the analysis of the correlation matrix between dimensions, to improve the Work Environment, which has a positive correlation with Workload, it is recommended to maintain and improve the dimensions of Non-Physical Work Environment and also for employee performance also to improve the Physical Environment dimension. To increase motivation, which has a positive correlation with workload, it is recommended to maintain and improve hygiene. And for employee performance that is increasing the dimensions of intrinsic appreciation. To increase the workload that has a positive correlation with employee performance it is advisable to maintain and improve the dimensions of frustration
Implementation of Convolutional Neural Network (CNN) Method in Determining the Level of Ripeness of Mango Fruit Based on Image Mei Wita Sari; Sahat Parulian Sitorus; Rohani; Rahmadani Pane
Jurnal Penelitian Pendidikan IPA Vol 11 No 5 (2025): May
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i5.11436

Abstract

This study aims to classify the ripeness level of mango fruit using a Convolutional Neural Network (CNN) model based on digital images. This classification is important to help the automatic sorting process in the agricultural industry that relies on accuracy in determining fruit quality. Based on the literature review, CNN has been widely used in image-based object recognition because of its ability to extract visual features automatically. Previous studies have shown that CNN is effective in image classification, but the results are highly dependent on the quality of the data and the model parameters used. This research method involves collecting mango fruit images at three levels of ripeness (raw, half-ripe, ripe), which are then processed and analyzed using the Orange application with CNN architecture. Model evaluation was carried out using accuracy metrics, AUC, confusion matrix, and visualization through box plots and scatter plots to see the distribution and differences in data between classes. The results showed that the CNN model obtained an accuracy of 53.3% and an AUC value of 0.717, which indicates the model's initial ability to distinguish ripeness categories but with a fairly high level of misclassification. There is still overlapping data between classes, especially between the raw and half-ripe classes, which indicates the need for additional features and parameter refinement. In conclusion, CNN has the potential to be used in classifying the ripeness level of mango fruit, but its performance can be improved through feature development and deeper model tuning. 
Memahami Teknologi Big Data dan Mengatasi Tantangan Implementasinya Hasanah, Nurfanny; Sakina, Hardianur; Nst, Sonya Ardila; Sitorus, Sahat Parulian
Jurnal Pendidikan Tambusai Vol. 10 No. 1 (2026)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jptam.v10i1.36882

Abstract

Big Data memainkan peran penting dalam mendukung pengambilan keputusan di berbagai sektor, seperti industri mode, keuangan, dan kesehatan. Pemanfaatan data skala besar memungkinkan organisasi untuk memahami perilaku konsumen, memprediksi tren, dan merumuskan strategi berbasis bukti secara lebih efektif. Studi ini bertujuan untuk meneliti potensi Big Data dalam meningkatkan efisiensi dan efektivitas pengambilan keputusan serta mengidentifikasi tantangan dalam implementasinya. Metode penelitian yang digunakan adalah tinjauan pustaka dengan pendekatan deskriptif kualitatif melalui analisis jurnal ilmiah, buku akademik, dan sumber terpercaya. Hasil penelitian menunjukkan bahwa teknologi pendukung Big Data, seperti Hadoop, Apache Spark, komputasi awan, dan kecerdasan buatan serta pembelajaran mesin, memainkan peran penting dalam pengolahan dan analisis data. Namun, implementasinya masih menghadapi tantangan seperti kualitas dan keragaman data, interoperabilitas sistem yang terbatas, kurangnya sumber daya manusia yang kompeten, dan masalah keamanan dan privasi data. Oleh karena itu, diperlukan strategi manajemen data terintegrasi, peningkatan kompetensi sumber daya manusia, dan implementasi peraturan perlindungan data yang jelas agar Big Data dapat dimanfaatkan secara optimal dan berkelanjutan.
Sistem Pengelolaan Pemasukan Pupuk Dan Stok Pupuk Berbasis Web Dan Android untuk Usaha Toko Mulia Tani Putri Aritonang; Sahat Parulian Sitorus; Budianto Bangun
Jurnal Minfo Polgan Vol. 14 No. 1 (2025): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v14i1.14938

Abstract

Perkembangan teknologi yang pesat mendorong pelaku usaha, termasuk Usaha Kecil dan Menengah (UKM), untuk mengadopsi sistem digital guna meningkatkan efisiensi operasional. Toko Mulia Tani, sebagai UKM yang bergerak di bidang penjualan pupuk, masih menggunakan pencatatan manual dalam mengelola pemasukan dan stok barang, sehingga sering mengalami kesalahan pencatatan, kehilangan data, serta ketidakefisienan dalam pengecekan stok. Penelitian ini bertujuan untuk merancang dan membangun sistem informasi pemasukan dan pengelolaan stok pupuk berbasis web dan Android yang dapat mempermudah proses pencatatan serta pemantauan stok secara real-time. Metode yang digunakan dalam pengembangan sistem ini adalah metode rekayasa perangkat lunak dengan bahasa pemrograman PHP dan sistem berbasis web serta aplikasi mobile. Hasil dari sistem ini mampu memberikan informasi stok secara akurat, menghasilkan laporan yang cepat, serta mengurangi risiko kelebihan atau kekurangan stok. Sistem juga dilengkapi dengan fitur notifikasi stok minimum sebagai peringatan pemesanan ulang. Dengan penerapan sistem ini, Toko Mulia Tani diharapkan dapat meningkatkan efisiensi kerja, mengurangi penggunaan kertas, dan mempermudah pengambilan keputusan logistik.
Co-Authors Abbas Fatiha Ade Lestari Hasibuan Ahmad Adryan Ahmad Hidayat Sutawijaya Aidil Fajri Adinata Aisyah Rahmadiyah Manoppo Ajeng Pratiwi Aldi Rahmansyah Aldipan Azry Ali Akbar Ritonga Angga Putra Juledi Angga Reksa Anggi Audya Anggi Putri Khatami Simbolon Annisa Tria Putri Ardila Putri Patricia Ayu Ardika Laia Baim Wong Hasibuan Bangun, Budianto Dea Putri Sartika deni pratama Dennis Alhaadi Effendi Deo Achmad Setiawan Dhea Nurandani dimas anugra Dini Hariyati Adam dita aulia Doni Adrian Dzaki Tri Akmal Effenia Fahreza Siregar Elysa Rohayani Hasibuan Eriski Aulia Rahmi Fani Wulandari Rambe Fauzia Pulungan Febri Ananda Lubis Ferdy Ardiansyah Firman Manik Fitri Aini Nasution Gilang Kurnia Rambe Habi Saroni Hafidz Budiman Harry Pradana Hasanah, Nurfanny Hasibuan, Elysa Rohayani Haykal Tito Setiawan Hikmah Aldinar Siregar Ibnu Fajar Ritonga Iskandar Muda Siregar Ivo Andre Khairunnisya Ritonga Khalil Elhamdi Simbolon Kurnia Ari Saputra Siregar Lenni Pefrianti Lucky Suriyah Ningsih M. Idris Sagala M. Zarlis Manisa Safitri Tanjung Marisa Siregar Marnis Nasution Mei Wita Sari Muhammad Efendi, Muhammad Muhammad Fachri Anshori Muhammad Irfan Ayuda Muhammad Ridho Hasibuan Nayla Melani Ningsih, Andini Yulistia Nst, Sonya Ardila Oktari Tarigan Pane, Rahmadani Pernando Alvonso Situmorang Pratiwi, Devi Anassafila Pujawati Kurnia Putri Puput Indrayani Putri Aritonang Raditya Arviandi Rahmadan Rahmad Aditiya Rahmadhani Dongoran rangga prasatia Rasya Febrian Ridwan Hafiz Ritonga Riko Taruna Risa Evrija Rizki Habibah Rizky Pratama Ramadani Ritonga Rohani Rohani Rohani Rohani Sakhrani Rasyid Sakina, Hardianur samsir Samsir Siagian, Ayu Febri Silveria Anita Sari Dakhi Siti Sarah Suherman Ph.D. Sulistia Sulistia syarifah alya fahira Trisalia Purba Lia Vinna Olymphyani Vivi Indriani Volvo Sihombing Wahyu Adriansyah Wira Amin Wulan Inda Sari Yanris, Gomal Juni Yolanda Listia Listia Yustina, Meiliya Cahya Yuyun Lili Srikandy Zahri Akmal Zakaria Hasibuan Zihan Istari