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All Journal Infotech Journal Sinkron : Jurnal dan Penelitian Teknik Informatika IT JOURNAL RESEARCH AND DEVELOPMENT INTECOMS: Journal of Information Technology and Computer Science KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) The IJICS (International Journal of Informatics and Computer Science) JURIKOM (Jurnal Riset Komputer) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Teknik dan Informatika Building of Informatics, Technology and Science Jurnal Mantik Jurnal Sains dan Teknologi Community Engagement and Emergence Journal (CEEJ) Jurnal Tekinkom (Teknik Informasi dan Komputer) Jatilima : Jurnal Multimedia Dan Teknologi Informasi Journal of Computer System and Informatics (JoSYC) INFOKUM Jurnal Darma Agung Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) International Journal Of Science, Technology & Management (IJSTM) Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) KLIK: Kajian Ilmiah Informatika dan Komputer Instal : Jurnal Komputer Jurnal Info Sains : Informatika dan Sains Bulletin of Information Technology (BIT) Jurnal Fokus Manajemen Jurnal Minfo Polgan (JMP) Jurnal Nasional Teknologi Komputer Jurnal Pengabdian Masyarakat Gemilang (JPMG) Data Sciences Indonesia (DSI) DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Best Journal of Administration and Management Jurnal INFOTEL Bulletin of Engineering Science, Technology and Industry
Sitorus, Zulham
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Analisis Clustering Pada Pemilihan Tema VSGA Dengan Metode K-Means Dan KNN Rahman, Arif; Siahaan, Andysah Putera Utama; Khairul, Khairul; Iqbal, Muhammad; Sitorus, Zulham
INTECOMS: Journal of Information Technology and Computer Science Vol 7 No 6 (2024): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v7i6.13196

Abstract

Dalam era digital ini, pemilihan tema pelatihan yang tepat sangat penting untuk meningkatkan kompetensi dan keterampilan sumber daya manusia di berbagai bidang. Penelitian ini bertujuan untuk menganalisis pemilihan tema pelatihan pada program Vocational School Graduate Academy (VSGA) menggunakan metode clustering K-means. Clustering digunakan untuk mengelompokkan tema pelatihan berdasarkan jumlah peserta yang berhasil lulus, usia, hasil tes substansi, jenis kelamin, dan status peserta. Setelah pengelompokan, metode K-Nearest Neighbors (KNN) digunakan untuk klasifikasi lebih lanjut guna memprediksi tema pelatihan yang paling sesuai untuk peserta baru berdasarkan hasil clustering sebelumnya. Data penelitian diambil dari rekaman peserta pelatihan VSGA selama beberapa periode. Hasil analisis menunjukkan bahwa pendekatan kombinasi K-means dan KNN memberikan akurasi yang tinggi dalam memprediksi tema pelatihan yang relevan dan dapat digunakan sebagai alat bantu dalam pengambilan keputusan terkait penempatan pelatihan peserta. Studi ini menyimpulkan bahwa analisis data yang komprehensif dan metode pembelajaran mesin dapat memberikan wawasan berharga untuk meningkatkan efektivitas program pelatihan.
Sosialisasi Penggunaan Aplikasi Desa Pematang Serai Kecamatan Tanjung Pura Kabupaten Langkat Kurniawan, Fahmi; Sitorus, Zulham; Arnita, Vina; Ramadhani, Aditya; Risky, Raihan
Community Engagement and Emergence Journal (CEEJ) Vol. 5 No. 3 (2024): Community Engagement & Emergence Journal (CEEJ)
Publisher : Yayasan Riset dan Pengembangan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/ceej.v5i3.6604

Abstract

Kantor Desa Pematang Serai dalam meningkatkan pelayanan kepada masyarakat desa menerapkan aplikasi desa untuk melayani kebutuhan masyarakat agar telayani secara maksimal dalam surat menyurat. Oleh karena itu, diperkenalkan sebuah inovas dan keterampilan kepada perangkat kantor desa tentang penggunaan aplikasi desa sehingga proses pelayanan kepada masyarakat dalam membuat surat berjalan lebih cepat, akurat, dan efisien. Metode sosialisasi melibatkan pendekatan demonstratif dan interaktif dengan kombinasi presentasi, tanya jawab, dan simulasi langsung penggunaan aplikasi. Hasil dari sosialisasi ini menunjukkan bahwa sebagian besar pegawai kantor desa merasa lebih nyaman dan percaya diri dalam menggunakan aplikasi desa. Di samping itu, pemahaman pegawai kantor desa mengenai pentingnya integritas dalam pelayanan kepada masyarakat juga meningkat. Diharapkan dengan adopsi teknologi ini, pembuatan surat untuk masyarakat di Kantor Desa Pematang Serai dapat berjalan dengan baik dan dapat meningkatkan kinerja pegawai kantor desa dalam melayani surat memeyurat kebutuhan masyarakat desa.
Decision Support System Analysis as a Recommendation for the Program Keluarga Harapan (PKH) Using a Decision Table in Pematang Serai Village Sitorus, Zulham; Kurniawan, Fahmi; Hariyanto, Eko; Afrizal, Sandi
Bulletin of Information Technology (BIT) Vol 5 No 3: September 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v5i3.1281

Abstract

The Pematang Serai Village Office is a government institution responsible for addressing various issues in the village, including providing aid to the community. The office frequently organizes social programs, such as distributing financial aid to underprivileged residents. However, in managing these funds, problems often arise, such as aid recipients not being properly targeted and the manual process of collecting the required documentation. Additionally, when creating reports, staff must manually go through the files one by one. Each condition selected will have two possible outcomes: fulfilled or not fulfilled. If x conditions are selected, there will be N possible outcomes, calculated as N = 2^n. The rule above shows that columns 17 through 64 no longer affect the decision to provide aid, so those columns can be removed. This writing aims to develop an application that simplifies the process of calculating beneficiaries and distributing aid in Pematang Serai Village, making aid management more organized. The development method used is the Decision Table Method, with system requirements analysis conducted through observation and interviews. The system design is documented using UML (Unified Modeling Language). The results of this research are implemented in a web-based system, which will make the management of financial aid more effective. .
OPTIMIZATION OF WIFI NETWORK IN KUALANAMU INTERNATIONAL AIRPORT Hendra Harnanda; Andysah Putra Utama Siahaan; Leni Marlina; Muhammad Iqbal; Zulham Sitorus
Bulletin of Engineering Science, Technology and Industry Vol. 2 No. 4 (2024): December
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59733/besti.v2i4.67

Abstract

A reliable and efficient WiFi network is a crucial facility to support the activities of passengers and visitors at Kualanamu International Airport. This study aims to identify issues affecting WiFi network performance and provide optimization solutions based on technical analysis and user needs. Data collection was conducted by measuring network parameters such as throughput, delay, jitter, and packet loss across various strategic airport areas, including waiting rooms, departure terminals, and commercial zones. The analysis revealed key challenges, such as high user density during peak hours and uneven access point distribution. To address these issues, the study proposes optimization steps, including bandwidth capacity expansion, reconfiguration of network devices, and the adoption of advanced technologies like WiFi 6. Implementing these recommendations is expected to enhance the quality of the WiFi network at Kualanamu International Airport, improve user experience, and support overall airport operations effectively.
ANALISIS BUSINESS INTELEGENSI PENGARUH KECERDASAN EMOSIONAL TERHADAP KINERJA KARYAWAN ALGORITMA REGRESI LINIER Sitorus, Zulham; Syahputri, Maulisa; Nainggolan, Andreas Ghanneson; Sibarani, Dina Marsauli; Nahampun, Natalia; Putra, Khairil
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 2 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i2.1215

Abstract

Prima Indonesia University is a leading private university in the city of Medan, operating in the education sector which applies Business Intelligence to its management system. This research was conducted using the Linear Regression Algorithm to measure the influence of Emotional Intelligence on Employee Performance at Prima Indonesia University, totaling 212 data. The data used in this research is employee performance history data for the last 5 years. Next, the Linear Regression Algorithm is applied to the processed dataset. The research results will later show that the Linear Regression Algorithm is able to produce quite accurate measurements. The results of this research can show how much emotional intelligence influences an employee's performance. Thus, the Linear Regression Algorithm can be a solution in evaluating the influence of Emotional Intelligence on Employee Performance, and can provide long-term recommendations for increasing the productivity of Employee Performance at Prima Indonesia University.
Pattern recognition of 5G device serial number using K-Nearest Neighbors (K-NN) machine learning algorithm Sitorus, Zulham; Antoni, Robin; Limbong, Yohannes France; Sitompul, Jelly Rolley; Br Tarigan, Sella Monika
Jurnal Mantik Vol. 8 No. 4 (2025): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v8i4.6079

Abstract

5G networks are the latest generation of mobile communications technology that offer significant improvements in speed, capacity, and connectivity. However, along with the benefits it brings, it also brings a new set of challenges in the form of security breaches. Many 5G devices have been lost on-site. These devices are ABIA, AMIA, ASIB. Each of these devices has a serial number as identification data for each device. The rise of theft cases is due to the existence of collectors who are able to buy expensive stolen 5G devices for resale. So, the research will make the introduction of 5G device serial numbers using the Machine Learning (ML) with K-Nearest Neighbors (K-NN) algorithm. This pattern recognition is success to be done then become a guidance to recognizing stolen 5G devices. Next, this device cannot be used (deactivated) and be sold by system. This can break the demand and supply chain for stolen 5G devices. Based on the testing, there are 6 mismatches of 20 data testing or 70% data match
Analisis Algoritma Exponensial Smoothing dan K-Means untuk Optimal-isasi Penerimaan Mahasiswa Baru di Universitas Haji Sumatera Utara Sartika, Dewi; Iqbal , Muhammad; Sitorus, Zulham
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 7 No. 02 (2025): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v7i02.1269

Abstract

Proses penerimaan mahasiswa baru menjadi aspek krusial dalam menjaring calon mahasiswa yang unggul. Universitas Haji Sumatera Utara (Unhaj) sebagai institusi pendidikan tinggi menghadapi tantangan dalam meningkatkan efisiensi dan efektivitas proses penerimaan mahasiswa, khususnya dalam hal prediksi jumlah pendaftar dan pengelompokan calon mahasiswa. Penelitian ini bertujuan untuk mengoptimalkan proses penerimaan mahasiswa baru di Unhaj dengan menerapkan algoritma Exponential Smoothing untuk prediksi jumlah pendaftar dan algoritma K-Means(Sulistiyawati & Supriyanto, 2021) untuk segmentasi calon mahasiswa berdasarkan karakteristik tertentu. Metode Exponential Smoothing dipilih karena kemampuannya dalam mengenali pola tren historis data, sedangkan K-Means efektif untuk mengelompokkan data secara otomatis berdasarkan kemiripan karakteristik. Penelitian ini menggunakan data sekunder yang diperoleh dari pihak universitas, dengan pendekatan kuantitatif berbasis analisis data mining. Hasil dari penelitian ini diharapkan dapat memberikan informasi prediktif yang akurat mengenai jumlah pendaftar di masa mendatang serta segmentasi calon mahasiswa yang lebih terstruktur. Kombinasi kedua algoritma ini diharapkan mampu memberikan rekomendasi strategis berbasis data untuk mendukung pengambilan keputusan oleh pihak universitas. Secara teoritis, penelitian ini memberikan kontribusi dalam pengembangan ilmu data mining pada bidang pendidikan tinggi. Secara praktis, penelitian ini diharapkan dapat meningkatkan efisiensi alokasi sumber daya, efektivitas strategi pemasaran, dan kualitas penerimaan mahasiswa baru di Universitas Haji Sumatera Utara.
The Influence of the Talented Generation Internship Program (Magenta) on Human Resource Management Readiness At the Port of Indonesia (Persero) I Medan Utama, Hendra; Yusuf, Mohammad; Sitorus, Zulham; Ramadani, Pebri
Best Journal of Administration and Management Vol 2 No 4 (2024): Best Journal of Administration and Management
Publisher : International Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56403/bejam.v2i4.182

Abstract

PT Pelabuhan Indonesia (Persero) or Pelindo is a state-owned company which operates in the port services sector which provides opportunities for vocational/equivalent students, college students and fresh graduates to carry out internships in their environment. During the selection process, it was discovered that several of the interns accepted were interns who already had organizational experience. In carrying out an internship, interns not only help carry out supervisor/mentor duties, but interns are also helped to explore and improve their existing competencies so that they are better prepared to face the real world of work. This research aims to determine the influence of organizational experience and internship experience on work readiness of interns. This research uses quantitative research methods in the form of correlational research and explanatory research models, as well as collecting data through distributing questionnaires to interns at PT Pelabuhan Indonesia (Persero) I Medan. In processing the data, researchers used partial test methods and simultaneous tests for the variables organizational experience, internship experience, and work readiness with the help of SPSS version 26. The results of the study showed that organizational experience had a positive and significant effect on work readiness, internship experience had a positive and significant effect on work readiness, organizational experience and internship experience simultaneously influence work readiness
Human Resource Management Challenges Towards Human Capital Management 4.0. At Pt. Pelabuhan Indonesia (Persero) I Utama, Hendra; Yusuf, Mohammad; Sitorus, Zulham; Ramadani, Pebri
Jurnal Fokus Manajemen Vol 5 No 2 (2025): May
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jfm.v5i2.8575

Abstract

The industrial revolution 4.0 in the modern era is essentially focused on the digitalization of information technology. This explains that the industrial revolution 4.0 in the 21st century is a digital technology revolution to create a digitalization space. The digital technology revolution is a digital technology revolution to create digitalization, with a communication technology revolution, an information technology revolution, and an internet technology revolution to create digitalization. Digitalization uses digital technology. In the era of the industrial revolution 4.0, every organization needs digitalization capabilities, and digitalization needs solutions supplied by digital technology companies. The digital technology revolution in the era of the industrial revolution 4.0 will create digitalization in human resource management techniques. Pelindo Regional I has prepared its employees to face the industrial revolution 4.0. This is shown by the role of the company that has supported the development of the industrial revolution 4.0. However, employees still need management that supports the implementation of the industrial revolution 4.0. well, and encourages companies to hold training on the use of modern technology during the industrial revolution 4.0 in maximizing the promotion of Pelindo's service products. In addition, from the results of the interview, it was also concluded that what is needed by employees besides being able to use internet technology must also understand the industrial revolution 4.0. as part of good service to Pelindo service users. In running a business engaged in the service sector in the digitalization era, a good image is needed from service users, therefore it is very important for social media such as Whatsapp, Instagram, Facebook and so on to be used to form a positive image in society. Through social media, employee contributions to Pelindo are more felt by the company.
Analysis Of Licensing Data Using Naive Bayes And Decision Tree Algorithms To Evaluate The Performance Of Digital Public Services (Case Study: Invesment and One-Stop Integrated Services Office Of Medan City) Parhusip, Nelviony; Muhammad Iqbal; Zulham Sitorus
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 7 No. 02 (2025): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v7i02.1290

Abstract

Digital public services have become increasingly essential with the rapid development of technology and information. Over the past six years, the digital transformation of public services at the Investment and One-Stop Integrated Services Office (DPMPTSP) of Medan City has been highly significant. This can be observed from the national implementation of Online Single Submission (OSS) and the “Si Cantik” online application by the Ministry of Communication and Information in 2018, the launch of the “Sipandu” digital service application in Medan City in 2022, and the inauguration of the Public Service Mall and “Si Medan Pantas” application in 2024. In this digital era, innovation in public service is a necessity that cannot be overlooked, especially in efforts to improve the efficiency and effectiveness of licensing processes. This study aims to evaluate digital public service performance by analyzing licensing data in Medan City. The methods applied in this research are Naive Bayes and Decision Tree algorithms, utilizing the Orange data mining tool to optimize the assessment of digital public service performance.The main findings of this study highlight the evaluation of public service performance and identify potential areas for innovation, ideas, or new insights to enhance future public service delivery..
Co-Authors , Arpan , Fery Anugerah A.A. Ketut Agung Cahyawan W Abdul Karim Afrizal, Sandi Akbar Maulana, Taufik Aldi Kesuma Alvian Alvian Ami Abdul Jabar Andi Ernawati Andysah Putera Utama Siahaan Angkat, Chairul Indra Antoni, Robin Ardya, Dwika Arief, Muhammad Arif Rahman Asyahri Hadi Nasyuha Aulia, Ananda Ayu Ofta Bambang Sugito Batubara, Supina Boy Rizki Akbar Br Tarigan, Sella Monika Chelfina Utami Daniel Happy Putra Danu Wardhana Azhari Darmeli Nasution DEWI SARTIKA diansyah, Suhar Eko Hariyanto Eko Hariyanto Eko Hariyanto Fahmi Iskandar Fahmi Kurniawan Farta wijaya, Rian Faza Wardanu Damanik, Dwi Gilang Ramadhan Gultom, Ananda Christianto H. Aly, Moustafa Hafiz Rodhiy Haliza, Siti Nur Hamzah, Iswadi Hartono Sinambela, Sugi Helmy, Ahmad Hendra Harnanda Heni Wulandari Hrp, Abdul Chaidir Ibezato Zalukhu, Anzas Ika Devi Perwitasari Indra Angkat, Chairul IQBAL , MUHAMMAD Irwan Syahputra Irwan Syahputra, Irwan Izhari, Fahmi Khairul Khairul Khairul, Khairul Kiki Artika Kurniawan, Fahmi Laila Maghfirah Larius Ambasador Parlindungan Leni Marlina Leni Marlina Limbong, Yohannes France M Imam Santoso M. Rasyid M.Rizki Khadafi Mardiah, Nia Marzuki Sianturi, Ismail Melva Sari Panjaitan Meri Sri Wahyuni Mhd Arie Akbar Mohammad Yusuf, Mohammad Muhammad Fahriza Muhammad Iqbal Muhammad Iqbal Muhammad Wahyudi Nahampun, Natalia Nainggolan, Andreas Ghanneson Nasution, Darmeli Nazar Saputra, Risfan Nelviony Parhusip Nurwijayanti Ofta Sari, Ayu Parhusip, Nelviony Pranoto, Sugeng Putra, Khairil Ragil Satya Adi W Ramadani, Pebri Ramadhan, Aditya Ramadhan, Deni Ramadhani, Aditya Rian Farta Wijaya Rian Putra, Randi Rika Uli Samosir, Siska Risky, Raihan Rusydi Tanjung , Miftah Sahputra, Fajar Said Oktaviandi Saputra, Maulian Sari Penjaitan, Melva Septiani, Nadya Sianturi, Ismail Sibarani, Dina Marsauli Simamora, Siska Simbolon, Fikri Zuhaili Simorangkir, Elsya Sabrina Asmita Sinambela, Sugi Hartono Sinyo Andika Nasution, Ahmad Sipra Barutu Siregar, Andree Risky Yuliansyah Sitepu, Fernando Sitinur, Siti Nurhaliza Sofyan Sitompul, Jelly Rolley Sofyan, Siti Nurhaliza Solly Ariza Lubis Sri Wahyuni, Meri Suhardiansyah Suhardiansyah Suhardiansyah Suherman Suherman Sukrianto, Sukrianto Sutiono, Sulis Syahputri, Maulisa Syamsiar, Syamsiar T, Siti Isna Syahri Tanjung, Miftah Rusydi Utama, Hendra Vina Arnita Vivin Yulfia Sarah Wahyu Agung Pratama Wahyuni, Meri Sri Wijaya, Rian Farta Winnugroho Wiratman, Manfaluthy Hakim, Tiara Aninditha, Aru W. Sudoyo, Joedo Prihartono Wirda Fitriani Yahya, Susilawati Zalukhu, Anzas Ibezato Zulfahmi Syahputera Zulfahmi Zulfahmi Zulfahmi Zulfahmi