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All Journal Infotech Journal Sinkron : Jurnal dan Penelitian Teknik Informatika JET (Journal of Electrical Technology) 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 Jurnal Media Informatika Instal : Jurnal Komputer Jurnal Info Sains : Informatika dan Sains Bulletin of Information Technology (BIT) International Journal of Social Science, Educational, Economics, Agriculture Research, and Technology (IJSET) Jurnal Fokus Manajemen Jurnal Minfo Polgan (JMP) Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence Jurnal Nasional Teknologi Komputer Jurnal Pengabdian Masyarakat Gemilang (JPMG) Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Data Sciences Indonesia (DSI) DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Best Journal of Administration and Management Bulletin of Engineering Science, Technology and Industry
Sitorus, Zulham
UNIVERSITAS PEMBANGUNAN PANCA BUDI
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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..
Implementasi Data Mining Untuk Clustering Produktivitas Bawang Merah Menggunakan Metode K-Means Sitinur, Siti Nurhaliza Sofyan; 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.v7i02.1442

Abstract

Bawang merah merupakan tanaman holtikultura dan hampir di seluruh Indonesia dapat di tanami oleh tumbuhan ini. Bawang merah merupakan pelengkap dalam masakan nusantara. Penambangan data yang dilakukan dalam produktivitas bawang merah melalui Badan Pusat Statistik di Indonesia dari tahun 2019 - 2024 bertujuan untuk pengoptimalan dalam produksi bawang merah yang akan menunjang produktivitas di setiap provinsi. Teknik K-Means Clustering mengelompokkan menjadi 3 cluster, yaitu : C1 bermakna sangat rendah di dominasi 32 provinsi seperti Sumatera Utara dengan Siluet 0.635069 dan Banten dengan Siluet 0.68097. Kemudian C2 bermakna bagus yaitu produksi bawang merah tertinggi di Indonesia seperti Jawa Tengah – siluet 0.690777 dan Jawa Timur – siluet 0.670607 dan cluster terakhir yaitu C3 dengan produksi sedang termasuk provinsi Jawa Barat – siluet 0.667291, Sumatera Barat – siluet 0.672978, Sulawesi Selatan – siluet 0.658588 dan terakhir Nusa Tenggara Barat – siluet 0.669592. Hasil penelitian ini sangat berguna untuk pemerintah dalam pengembangan produksi bawang merah disetiap provinsi untuk kemajuan tanaman holtikultura.
Designing an Alumni Information System Based on UML (Unified Modeling Language) Sitorus, Zulham; Pranoto, Sugeng; Sutiono, Sulis; Arief, Muhammad
Bahasa Indonesia Vol 15 No 02 (2023): Instal : Jurnal Komputer Periode (Juli-Desember)
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalkomputer.v15i02.162

Abstract

This research designed a UML-based Alumni Information System for SD IT Jabal Nur Tebing Tinggi. The stages involve collecting data through observation and interviews, followed by designing UML using use case, activity, sequence, and class diagrams. The aim is to facilitate collaboration between schools and system developers, providing a visual depiction of admin and system interactions in managing alumni data. Although still at the design stage, the results provide a strong basis for further implementation, with the potential to increase efficiency and support future school development. The suggestion involves a system implementation phase to test the effectiveness of the design, accompanied by clear documentation for system maintenance and new user training.
Pengembangan Dan Implementasi Aplikasi Pelayanan Jasa Berbasis Web Pada CV Altrama Energi Gultom, Ananda Christianto; Batubara, Supina; Sitorus, Zulham
Data Sciences Indonesia (DSI) Vol. 4 No. 2 (2024): Article Research Volume 4 Issue 2, December 2024
Publisher : Yayasan Cita Cendikiawan Al Kharizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/dsi.v4i2.5401

Abstract

Kualitas jasa layanan yang prima mampu menciptakan loyalitas konsumen sehingga dapat tercipta hubungan kerja yang saling menguntungkan antara kedua belah pihak. CV Altrama Energi adalah salah satu perusahaan layanan jasa penyewaan alat berat maupun perawatan atau perbaikannya untuk berbagai kebutuhan pekerjaan berat seperti konstruksi maupun pertanian. Dengan kondisi pengelolaan data yang tidak efektif mengakibatkan pimpinan CV Altrama Energi kesulitan melakukan pencarian data, pemantauan jadwal pekerjaan maupun penagihan. Hal ini dapat mempengaruhi reputasi CV Altrama Energi dimata konsumen yang dapat mengakibatkan terputusnya hubungan kerjasama dengan konsumen. Tujuan penelitian ini adalah mengembangkan dan mengimplementasikan aplikasi layanan jasa berbasis web untuk mengolah data jasa penyewaan dan jasa perbaikan alat berat pada CV Altrama Energi menggunakan metode prototipe, perancangan aplikasi menggunakan unified modelling language, dan pengujian menggunakan metode Black Box. Hasil penelitian ini menunjukkan bahwa metode prototipe cocok digunakan dalam pengembangan aplikasi di CV Altrama Energi karena seringnya terjadi perubahan kebutuhan serta aplikasi yang dihasilkan user friendly digunakan oleh pegawai administrasi maupun pimpinan CV Altrama Energi.
Penerapan Data Mining Untuk Klasifikasi Penduduk Miskin Di Kabupaten Labuhanbatu Menggunakan Random Forest Dan K-Nearest Neighbors Ernawati, Andi; Khairul; Sitorus, Zulham; Iqbal, Muhammad; Nasution, Darmeli
Bulletin of Information Technology (BIT) Vol 6 No 2: Juni 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v6i1.1783

Abstract

This study aims to apply and compare the performance of two data mining algorithms—Random Forest (RF) and K-Nearest Neighbors (KNN)—in classifying poverty status among residents of Labuhanbatu Regency. The dataset includes information on occupation, income, housing, and education from 21,137 individuals. After undergoing preprocessing, model training, hyperparameter optimization, and evaluation, both models were assessed using five key metrics: accuracy, precision, recall, F1-score, and AUC. The results show that Random Forest performed slightly better than KNN, achieving an accuracy of 0.6023, precision of 0.4827, recall of 0.4177, F1-score of 0.4479, and an AUC of 0.5681. In comparison, KNN obtained an accuracy of 0.5990, precision of 0.4771, recall of 0.4006, F1-score of 0.4355, and an AUC of 0.5622. Based on these findings, it can be concluded that Random Forest is more effective for poverty classification on this dataset, although the performance difference is relatively small.
Analisis Sentimen Penerapan Deep Learning dan Analisis Sentimen terhadap Gap Kompetensi Lulusan Lembaga Pendidikan dan Pelatihan Vokasi terhadap Dunia Kerja dengan Metode Long Short-Term Memory (LSTM) Yahya, Susilawati; Sitorus, Zulham; Iqbal, Muhammad; Nasution, Darmeli; Farta Wijaya, Rian
Bulletin of Information Technology (BIT) Vol 6 No 2: Juni 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v6i2.2031

Abstract

The gap between vocational graduates’ competencies and labor market demands remains a pressing issue in Indonesia. This study aims to analyze alumni perceptions regarding the alignment between competencies acquired during their studies at LP3I Banda Aceh and real-world job requirements. A quantitative approach was adopted using a deep learning method based on Long Short-Term Memory (LSTM). Data were collected through an online survey containing open-ended responses from 934 alumni, followed by preprocessing, tokenization, lexicon-based sentiment labeling, and data splitting into training and testing sets. The models developed included pure LSTM, LSTM with class weights, and Bidirectional LSTM (BiLSTM). Results indicate that BiLSTM achieved the highest performance with 90% accuracy and a weighted F1-score of 0.91. Additionally, 44.5% of respondents expressed neutral or negative sentiments, highlighting a mismatch between acquired competencies and industry demands. These findings underscore the urgency of curriculum evaluation and stronger collaboration between vocational institutions and the labor market. This study demonstrates that deep learning offers an efficient and objective tool for competency mapping in vocational education.
Perancangan Sistem Administrasi Pada Kantor Lurah Kuala Langkat Berbasi Web Sitepu, Fernando; Sitorus, Zulham; Perwitasari, Ika Devi
DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Vol 6, No 1: JUNI 2025
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/device.v6i1.7320

Abstract

Studi ini bertujuan untuk merancang sistem manajemen berbasis web yang dapat meningkatkan efisiensi dan efektivitas pelayanan di Kantor Lurah Kuala Langkat. Sistem ini diciptakan untuk menyederhanakan proses pengelolaan data administrasi, seperti pendaftaran, pengelolaan surat, dan pengarsipan dokumen secara digital. Metodologi yang diterapkan dalam penelitian ini adalah metode pengembangan perangkat lunak dengan pendekatan terstruktur, yang mencakup analisis kebutuhan, desain, pembangunan, dan pengujian sistem. Dalam perancangan sistem, digunakan bahasa pemrograman PHP dan MySQL sebagai basis data, dengan tujuan untuk mempermudah pengelolaan data secara daring dan memastikan aksesibilitas yang lebih baik bagi pegawai dan masyarakat. Hasil dari studi ini diharapkan dapat memberikan solusi praktis untuk mengurangi pemakaian kertas, mempercepat proses administrasi, serta meningkatkan akurasi dan keamanan data di Kantor Lurah Kuala Langkat. Dengan adanya sistem manajemen berbasis web ini, diharapkan pelayanan publik di tingkat kelurahan dapat menjadi lebih transparan, efisien, dan terorganisir
Analisis Sentimen Google Review terhadap Mutu Kualitas Pendidikan pada Perguruan Tinggi STIE Al-Washliyah Sibolga dengan Metode Lexicon dan Algoritma Naive Bayes Tanjung, Miftah Rusydi; 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.v7i02.1549

Abstract

Perkembangan teknologi informasi telah mendorong masyarakat untuk menyampaikan opini terhadap institusi pendidikan melalui platform digital seperti Google Review. Penelitian ini bertujuan untuk menganalisis sentimen masyarakat terhadap mutu layanan pendidikan di STIE Al-Washliyah Sibolga berdasarkan komentar Google Review dengan membandingkan dua pendekatan analisis sentimen, yaitu Lexicon-Based dan Naïve Bayes. Sebanyak 51 komentar dianalisis melalui tahapan praproses teks yang meliputi case folding, tokenisasi, stopwords removal, dan stemming. Hasil klasifikasi menunjukkan bahwa sebagian besar komentar bersentimen positif, dengan fokus pada kenyamanan lingkungan kampus, keramahan layanan, serta aksesibilitas lokasi. Model dievaluasi menggunakan metrik akurasi, presisi, recall, dan F1-score. Hasil evaluasi menunjukkan bahwa metode Naïve Bayes memiliki performa lebih unggul dengan akurasi sebesar 98%, recall 97,8%, dan F1-score 98,8%, dibandingkan Lexicon-Based yang hanya mencapai akurasi 94,1% dan F1-score 96,6%. Temuan ini menunjukkan bahwa citra STIE Al-Washliyah Sibolga di ruang digital sangat positif, serta algoritma Naïve Bayes layak digunakan sebagai pendekatan efektif dalam pemantauan opini publik terhadap perguruan tinggi berbasis data digital.
Co-Authors , Arpan , Fery Anugerah , Rahima Br Purba A.A. Ketut Agung Cahyawan W Abda Abda Ade Surya Bakti Pane Afrizal, Henri Afrizal, Sandi Aldi Kesuma Alvian Alvian Ami Abdul Jabar Amnisuhaila Abarahan Ananda Aulia Andi Ernawati Andi Ernawati Andysah Putera Utama Siahaan Angkat, Chairul Indra Anshari, Ari Antoni, Robin Ardya, Dwika Arief, Muhammad Arif Rahman Astri Mutia Rahma Audry, Beby Aulia, Ananda Ayu Ofta Azhari, M. Idrus azwan, m Baehaqi 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 Diva, Krisna Eko Hariyanto Eko Hariyanto Eko Hariyanto Eko Wahyudi Erbin Sitorus Fachri, Barany Fahmi Izhari Fahmi Kurniawan Farta wijaya, Rian Feby Wulandari Sembirinng Fikri Zuhaili Simbolon Gilang Ramadhan Gultom, Ananda Christianto Hafiz Rodhiy Haliza, Siti Nur Hamzah, Iswadi Harmiati Bungsu Bangun Hartono Sinambela, Sugi Helmy, Ahmad Hendra Harnanda Heni Wulandari Hilal Prayogi Hrp, Abdul Chaidir Ibezato Zalukhu, Anzas Ika Devi Perwitasari Indra Angkat, Chairul IQBAL , MUHAMMAD Irwan Syahputra Irwan Syahputra, Irwan Khairul Khairul Khairul, Khairul Kiki Artika Kurniawan, Fahmi Laila Maghfirah Larius Ambasador Parlindungan Leni Marlina Leni Marlina Lia Nazliana Nasution Limbong, Yohannes France M Imam Santoso M. Rasyid M.Rizki Khadafi Mardiah, Nia Marzuki Sianturi, Ismail Maulian Saputra Melva Sari Panjaitan Meri Sri Wahyuni Mhd Arie Akbar Mhd Ihsan Abidi Mohammad Yusuf, Mohammad Muhammad Fahriza Muhammad Hafizh Al-Ghifari Rangkuti Muhammad Iqbal Muhammad Irfan Sarif Muhammad Syahputra Novelan Muhammad Wahyudi Nahampun, Natalia Nainggolan, Andreas Ghanneson Nainggolan, Irfan Nazar Saputra, Risfan Nelviony Parhusip Nurwijayanti Ofta Sari, Ayu Parhusip, Nelviony Pasaribu, Ryan Fahreza Pranoto, Sugeng Putra, Khairil Ragil Satya Adi W Rahmat Hidayat Ramadani, Pebri Ramadhan, Aditya Ramadhani, Aditya Rangga Rafandi Razaq, Abdul Retno Mutiara Rian Farta Wijaya Rian Putra, Randi Rika Uli Samosir, Siska Risky, Raihan Rowiyah Asengbaramae Rusydi Tanjung , Miftah Sahputra, Fajar Said Oktaviandi Septia Harliansyah Septia Harliansyah Septiani, Nadya Sianturi, Ismail Sibarani, Dina Marsauli Simamora, Siska Simorangkir, Elsya Sabrina Asmita Sinambela, Sugi Hartono Sinyo Andika Nasution, Ahmad Sipra Barutu Siregar, Andree Risky Yuliansyah Sitepu, Fernando Siti Nurhaliza Sofyan Sitinur, Siti Nurhaliza Sofyan Sitompul, Jelly Rolley Sofyan, Siti Nurhaliza Solly Ariza Lubis Solly Aryza Sri Wahyuni, Meri Suhardiansyah Suhardiansyah Suhardiansyah Suherman Suherman Sukrianto, Sukrianto Sutiono, Sulis Syahputri, Maulisa Syamsiar, Syamsiar T, Siti Isna Syahri Tanjung, Miftah Rusydi Tiara Aninditha Tumangger, Oktavia Utama, Hendra Vina Arnita Vivin Yulfia Sarah Wahyu Agung Pratama Wahyuni, Meri Sri Wijaya, Rian Farta Wirda Fitriani Yahya, Susilawati Yasri, Afif Zai, Yulianus Zalukhu, Anzas Ibezato Zulfahmi Syahputera Zulfahmi Syahputra Zulfahmi Zulfahmi Zulfahmi Zulfahmi