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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
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Penerapan Algoritma Certainty Factor dalam Diagnosa Penyakit Guillain-Barre Syndrome Indra Angkat, Chairul; Marzuki Sianturi, Ismail; Hartono Sinambela, Sugi; Sitorus, Zulham; Khairul, Khairul
Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Vol. 7 No. 1 (2024): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Utility Project Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jikomsi.v7i1.2609

Abstract

Gangguan neurologis, seperti Guillain-Barre Syndrome (GBS), terjadi akibat disfungsi otak atau sistem saraf manusia, dengan dampak yang dapat merugikan pertumbuhan anak dari segi psikologis dan fisik. Gejala bervariasi tergantung pada bagian otak atau sistem saraf yang terpengaruh, terjadi pada berbagai rentang usia, mulai dari bayi hingga usia dewasa. GBS, penyakit sistem saraf tepi, dapat muncul pada berbagai kelompok usia dan disebabkan oleh peradangan yang merusak lapisan mielin saraf pada motor neuron serta melibatkan kelainan autoimun pada beberapa individu yang terkena. Infeksi terkait GBS dapat disebabkan oleh bakteri Campylobacter pylori yang dapat dideteksi melalui pemeriksaan laboratorium. Meskipun sangat langka, hanya sekitar 1 dari 100.000 orang yang mengalami gangguan sistem saraf akibat penyakit ini. Gejala GBS mencakup kram otot, parestesia, kesulitan menelan, kesulitan bernafas, kehilangan respons motorik, peningkatan denyut nadi, gangguan pencernaan, kelebihan keringat, dan ketidakstabilan tekanan darah. Untuk memfasilitasi diagnosa penyakit ini, disarankan penggunaan sistem pakar yang dapat memberikan keputusan melalui analisis masalah dengan menerapkan metode atau algoritma tertentu, termasuk algoritma certainty factor. Hal ini diharapkan dapat meningkatkan efisiensi dan objektivitas dalam proses diagnosa penyakit GBS tanpa memerlukan pertemuan langsung antara dokter dan pasien. Penelitian ini bertujuan untuk mengidentifikasi jenis penyakit berdasarkan gejala atau keluhan pasien melalui penerapan certainty factor. Hasil diagnosa menunjukkan persentase tingkat keyakinan sebesar 99.7%, memberikan kontribusi dalam penyediaan diagnosis yang cepat, efisien, dan objektif, mengurangi ketergantungan pada pertemuan langsung antara dokter atau pakar dengan pasien.
Analysis of Public Sentiment Towards Tax Increases Impacting Unemployment Using SVM and Multinomial Naive Bayes Methods Haliza, Siti Nur; Sitorus, Zulham; Muhammad Iqbal
JURNAL RISET KOMPUTER (JURIKOM) Vol. 12 No. 4 (2025): Agustus 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v12i4.8922

Abstract

Tax increase policies often generate pros and cons among the public, especially when perceived as having an impact on increasing unemployment. This study aims to analyze public sentiment regarding the issue of tax increases impacting unemployment by utilizing Machine Learning classification methods, namely Support Vector Machine (SVM) and Multinomial Naive Bayes (MNB). The data used comes from social media platform X in the form of public opinions collected online and then categorized into three sentiments: positive, negative, and neutral, with a total of 1,000 sentiment data points. The analysis process included text preprocessing, feature extraction with TF-IDF, and classification using both methods. In the Test and Score algorithm, the SVM algorithm produced an AUC of 0.660, CA of 0.694, F1 of 0.569, and Recall of 0.694, while the MNB algorithm produced an AUC of 0.586, CA of 0.198, F1 of 0.105, and Recall of 0.198. The study concluded that Support Vector Machines (SVMs) had a higher level of accuracy than Multinominal Naïve Bayes in classifying public sentiment. The majority of public opinion tended to be negative, indicating concern about the impact of tax increases on the workforce. These findings provide important insights for policymakers to consider public perception when establishing future fiscal policy.
Analisis Metode FMEA Dan SPC Pada Proyeksi Losses Produksi Dan Prediksi Perawatan Pompa Minyak Di PT.Pertamina Ep Zona 1 Rantau Field Kuala Simpang Sugito, Bambang; Iqbal, Muhammad; Sitorus, Zulham
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 10, No 1 (2025): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v10i1.889

Abstract

Leaks in oil pumping systems are among the main causes of production losses and reduced operational efficiency in the upstream oil and gas industry. This study aims to identify dominant failure modes, monitor process stability, and predict pump leakage risk using an integrated approach that combines Failure Mode and Effect Analysis (FMEA), Statistical Process Control (SPC), and the Support Vector Machine (SVM) algorithm. The research was conducted at PT Pertamina EP Zone 1 Rantau Field using operational data from the year 2024. FMEA results show that leakage due to illegal tapping and corrosion are the most critical failures, with Risk Priority Numbers (RPN) of 216 and 180, respectively. SPC analysis using X̄-R control charts revealed weekly process fluctuations, indicating potential variability in operations. To predict leakage risk, an SVM model was trained using technical pump features such as pressure, temperature, vibration, and pipe joint age. Class imbalance was addressed using the Synthetic Minority Oversampling Technique (SMOTE), and model evaluation yielded an accuracy of 95.48%. The integration of these three methods has proven effective in supporting data-driven predictive maintenance strategies. It reduces unplanned downtime, minimizes production losses, and enhances the reliability of oil pumping systems.
Design Of A Debit And Credit Financial Information System Prototype Method Ami Abdul Jabar; Zulham Sitorus; Sipra Barutu; Nelviony Parhusip
Jurnal Info Sains : Informatika dan Sains Vol. 13 No. 03 (2023): Informatika dan Sains , Edition December 2023
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The absence of an available financial information system makes it difficult to record financial records and prepare financial reports, making it difficult for company leaders to understand their company's financial condition and make decisions. The legal entity company which was founded in 2018 has not yet utilized technology in carrying out financial records and preparing financial reports, especially debits and credits. This research aims to design a debit and credit Financial Information System using the Prototype Method at PT Bangkit Mulya Prakoso Teknik.The results include relational database design, activity diagrams, use case diagrams, and interface displays. It is hoped that this system design can improve corporate financial governance, make a significant contribution, and become a role model for other companies facing similar challenges.
Analysis Of Item-Based Collaborative Filtering For Sales Of Processed Oil Palm Products Sitorus, Zulham; Sri Wahyuni, Meri; Rika Uli Samosir, Siska
Bulletin of Information Technology (BIT) Vol 6 No 3: September 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v6i3.2195

Abstract

Abstract- The sales system for processed palm oil necessitates a recommendation system that offers product suggestions to users, facilitating their selection of sales items for processed palm oil products. This study used the Item-Based Collaborative Filtering approach, which identifies the similarity between items. The system will assess the rating of each item and compute the similarity value utilising the Pearson correlation-based similarity formula. Companies will exhibit greater interest in product sales that possess identical similarity values. This article presents recommendations for system development concerning processed products intended for the sale of technology-based items that employ item-based collaborative filtering methods. It specifies a recommended selling value for processed palm oil products, with a Mean Absolute Error (MAE) of 10.463126965591, derived from the equation 5/1, yielding a final result of -5. The execution of the sales suggestions for processed palm oil products indicates that the items with the highest similarity value calculations are i4 and i5. PT. Sugih Riesta Jaya employs the Item-Based collaborative filtering method to enhance sales of refined palm oil products, thereby facilitating sales assistance and providing the public with sales information and recommendations for essential refined palm oil products..
Sistem Pakar untuk Menentukan Konsentrasi Mahasiswa Prodi Sistem Komputer Menggunakan Metode Forward Chaining Boy Rizki Akbar; Muhammad Fahriza; , Fery Anugerah; Chelfina Utami; Laila Maghfirah; Rian Farta Wijaya; Zulham Sitorus
Jurnal Nasional Teknologi Komputer Vol 5 No 4 (2025): Oktober 2025
Publisher : CV. Hawari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jnastek.v5i4.319

Abstract

Determining a concentration is one of the obligations for computer systems students because it has a direct impact on their careers and individual potential development. However, most students determine their concentration based on general perceptions without understanding their personal interests and talents, job trends, or even following their friends' choices. Therefore, this study aims to help students recognize their potential, interests, and abilities in choosing the right concentration. This study uses the Forward Chaining method, which is an expert system-based approach oriented towards factual data to draw conclusions and provide relevant recommendations. In its implementation, the system will process inputs in the form of interests, talents, and ability assessment results, then trace logical rules to determine the most suitable concentration. The final result of the research is expected to produce visual recommendations in the form of percentages, which show the level of compatibility between students' interests and talents with various concentration options. The system is expected to support a more objective, systematic, and data-driven academic decision-making process so that students can optimize their potential to the maximum.
Analisis Deteksi Kecurangan Ujian Online Dengan Sistem Pakar Berbasis Event Browser Tanpa Kamera : Studi Kasus Penyelenggara Olimpiade Sains Digniti Ade Surya Bakti Pane; Harmiati Bungsu Bangun; Astri Mutia Rahma; Erbin Sitorus; Rian Farta Wijaya; Zulham Sitorus
Jurnal Nasional Teknologi Komputer Vol 6 No 1 (2026): Januari 2026
Publisher : CV. Hawari

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The implementation of online exams differs significantly from exams supervised directly by proctors. Participants' body movements and interactions can be easily read. Even with camera monitoring, participants can still easily switch browser tabs or open applications on their devices. On the other hand, camera-based proctoring solutions can also raise invasive privacy concerns. Furthermore, device limitations can hinder someone from taking the exam due to the lack of a camera, and bandwidth limitations can result in unstable connections during the exam. Sample log activity data from test participants for log_id ranges from 44790 to 46883, while the actions consist of fullscreen_exit, context_switch, standby_log, focus_return, fullscreen_enter, and devtools_open. The results and rules of this test have scores, with each result having an average value of 1, and the rules having an average value of 1-10. In this process, experts assess each detection result using a binary scheme: a score of 1 is given if the expert system's conclusion matches the expert's decision, and a score of 0 is given if the expert system's decision does not match the expert's decision. This study proposes an expert system framework with a cameraless forward chaining method running on the Google Chrome browser (desktop and Android) as decision support. The system utilizes browser event telemetry (visibility changes, fullscreen, standby) that aligns with existing policies, such as mandatory fullscreen mode, copy/paste blocking, and question blurring when exiting fullscreen or a visibility change occurs. This can generate an audit trail that can be audited by decision makers.
MEDAN SMART TOURISM INFORMATION SYSTEM BASED ON IOT AND ACO FOR ROUTE RECOMMENDATIONS AND VISITOR MANAGEMENT Septia Harliansyah; Muhammad Irfan Sarif; Zulham Sitorus; Eko Wahyudi
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 4 No. 12 (2025): NOVEMBER
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijset.v4i12.1553

Abstract

The abstract serves as a concise summary of your research paper, highlighting the essential components that provide readers with an overview of your work. It should effectively capture the key issues addressed, the primary objectives of the study, the methods utilized, and the significant results achieved. This summary must be written in a single cohesive paragraph, limited to a maximum of 200 words. Ensure to follow the formatting specifications: use Times New Roman font, size 11, with single spacing, and present it in italics. The goal is to engage the reader while successfully conveying the importance and impact of your findings.
Sistem Pendukung Keputusan Penentuan Calon Ketua OSIS pada SMK Swasta Dwitunggal 2 Menggunakan Metode Simple Additive Weighting Zai, Yulianus; Syahputra, Irwan; Azhari, M. Idrus; Audry, Beby; Tumangger, Oktavia; Wijaya, Rian Farta; Sitorus, Zulham
Jurnal Media Informatika Vol. 7 No. 1 (2026): Edisi Januari - Februari
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jumin.v7i1.7940

Abstract

Pemilihan ketua OSIS merupakan kegiatan penting dalam lingkup sekolah karena menentukan arah kepemimpinan organisasi siswa. Pada SMK Swasta Dwitunggal 2, proses pemilihan selama ini masih dilakukan secara manual dan subjektif sehingga hasil yang diperoleh kurang akurat serta rentan terhadap bias. Penelitian ini bertujuan mengembangkan sebuah Sistem Pendukung Keputusan (SPK) menggunakan metode Simple Additive Weighting (SAW) untuk menentukan calon ketua OSIS secara objektif berdasarkan beberapa kriteria, yaitu nilai raport, kedisiplinan, kepemimpinan, keaktifan organisasi, komunikasi, prestasi akademik, dan tanggung jawab. Metode SAW digunakan karena mampu memberikan perangkingan alternatif berdasarkan bobot dan nilai kriteria secara sistematis. Metode penelitian dilakukan dengan observasi, studi literatur, dan wawancara yang dilakukan kepada kepala sekolah. Penelitian dilakukan melalui tahapan pengumpulan data, analisis kebutuhan, perancangan metode SAW, normalisasi, pembobotan, dan perhitungan nilai preferensi. Hasil penelitian menunjukkan bahwa kandidat terbaik berdasarkan nilai preferensi tertinggi adalah Nurul Alya Azizah dengan nilai 0.960, disusul oleh Syahfira Amellia Dachi dengan nilai 0.900. Temuan ini menunjukkan bahwa metode SAW mampu memberikan hasil yang objektif dan konsisten sesuai bobot kriteria yang telah ditentukan. Sistem yang dibangun dapat membantu pihak sekolah dalam mengambil keputusan secara lebih adil, transparan, dan terukur.
Analisis Sentimen Publik Berbasis KNN Terhadap Kinerja Purbaya dan Sri Mulyani Selama Sebulan Anshari, Ari; Diva, Krisna; Azwan, M; Nainggolan, Irfan; Wijaya, Rian Farta; Sitorus, Zulham
Jurnal Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence) Vol 5 No 3 (2025): Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence)
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakaai.v5i3.1461

Abstract

Masyarakat selalu khawatir tentang perubahan staf Menteri Keuangan karena mereka memainkan peran penting dalam menjaga stabilitas ekonomi negara. Purbaya Yudhi Sadewa menggantikan Sri Mulyani sebagai Menteri Keuangan dalam Kabinet Merah Putih. Karena mungkin mengungkapkan tingkat penerimaan publik dan kepercayaan terhadap kebijakan yang akan diterapkan, persepsi publik selama bulan pertama menjabat sangat penting. Studi ini menggunakan algoritma K-Nearest Neighbor (KNN) untuk menguji sentimen publik terhadap pemikiran di platform media sosial X selama bulan pertama masa jabatan kedua kedua tokoh tersebut. Dataset ini mencakup 2.071 cuitan dari Sri Mulyani (21 Oktober–20 November 2024) dan 2.960 cuitan dari Purbaya Yudhi Sadewa (8 September–7 Oktober 2025). Setelah praproses dan pelabelan data dengan IndoBERT, distribusi sentimen untuk Purbaya adalah 57,80% positif dan 42,20% negatif, sedangkan untuk Sri Mulyani adalah 46,74% positif dan 53,26% negatif. TF-IDF kemudian akan digunakan untuk ekstraksi fitur, sementara KNN dengan K=5 dan metrik jarak kesamaan kosinus akan digunakan untuk klasifikasi. Menurut hasil evaluasi, model KNN Sri Mulyani memiliki akurasi 77% dengan presisi 78%, recall 77%, dan skor F1 77%, sedangkan model KNN Purbaya memiliki akurasi 80% dengan presisi 80%, recall 78%, dan skor F1 79%.
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