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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 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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Design and Development of an SDLC-Based E-Learning Application as a Learning Medium Using the Blended Learning Model Ramadhan, Deni; Sitorus, Zulham; Sari Penjaitan, Melva
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.v5i3.1480

Abstract

Education in the digital era demands the application of innovative learning methods to enhance effectiveness and student engagement. This research aims to design the workflow of an e-learning application that integrates the blended learning model, with a focus on SMA Nurcahaya as a case study. The blended learning model combines face-to-face instruction with online learning, providing flexibility in the teaching and learning process and leveraging technology to enhance the student learning experience. The research methodology includes needs analysis, system design, and e-learning development. Needs analysis was conducted through surveys and interviews with teachers and students to identify specific needs and challenges. Based on these findings, the design and development of the e-learning system incorporated features such as interactive learning materials, discussion forums, online quizzes, and progress tracking. The design process utilized the latest technology to ensure optimal performance and accessibility. The design was evaluated by assessing its effectiveness in meeting the needs of SMA Nurcahaya and its ability to support the teaching and learning process while increasing student engagement. The evaluation results indicated that this e-learning design is effective in boosting learning motivation and facilitating access to learning materials. The research concludes that an e-learning design with a blended learning model can be an effective solution for improving the quality of education in the digital era.
Implementasi Metode Group Algorithm Programming Sebagai Sistem Pendukung Keputusan Dalam Pemilihan Berita Pada Media Online Akbar Maulana, Taufik; Sitorus, Zulham
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.v5i3.1482

Abstract

− News is current information selected by journalists for publication in digital electronic media. News also refers to reports of events deemed to attract the attention of the mass media public. In the process of selecting the main news, the news must meet specific criteria determined by the coverage coordinator. These criteria help to determine which news will be chosen as the main news. Information related to news criteria can be stored in a database, making the evaluation and selection process easier compared to using hardcopy. Additionally, selecting the main news can be carried out using methods such as Group Algorithm Programming Analysis, along with other methods for comparison to achieve optimal results. Decision-making is a crucial stage underlying human activity both individually and collectively. The function of decision-making is futuristic, meaning it relates to the future and has long-lasting effects. Therefore, applications using the Group Algorithm Programming Analysis method can assist in the process of selecting the main news in online media
Deteksi Outlier Hasil Clustering Algoritma K-Medoids Menggunakan Metode Boxplot Pada Data KIP Kuliah Simorangkir, Elsya Sabrina Asmita; Siahaan, Andysah Putera Utama; Marlina, Leni; Nasution, Darmeli; Sitorus, Zulham
Journal of Computer System and Informatics (JoSYC) Vol 5 No 4 (2024): August 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i4.5479

Abstract

In the process of forming clusters with the K-Medoids algorithm, cluster result anomalies often occur, such as outliers. This value appears as a revelation in existing data patterns. Outliers occur due to measurement errors, rare events, or due to other unexpected factors. In this research, the dataset used is data on prospective KIP recipient students at Budi Darma University, where there is a high level of interest in KIP Kuliah while the quota is limited, which means that KIP Kuliah administrators sometimes have difficulty determining which students are eligible to receive KIP Kuliah. For this reason, the K-Medoids clustering technique was used to cluster data on 54 prospective students who were eligible to receive KIP Kuliah Merdeka and those who were not eligible. From the cluster results, outlier detection was carried out using the box plot method with the aim of finding out whether each cluster member was actually in the appropriate cluster or not. The result is that the data cluster is divided into 2 (K-2). In the max min centroid selection, cluster I consists of 52 members and cluster II consists of 2 members, where the outlier data consists of 3 data, while in random centroid selection (python), cluster I consists of 36 members and cluster II 18 members with data The outlier consists of 4 members. The accuracy of the clustering results between max min and random centroid selection has an accuracy of 64.81%, and the outlier accuracy is 75%.
Komparasi Model Rating Factor Dan Vikor Dalam Pengambilan Keputusan Peluang Usaha Industri Percetakan: Komparasi Model Rating Factor Dan Vikor Dalam Pengambilan Keputusan Peluang Usaha Industri Percetakan Sinyo Andika Nasution, Ahmad; Rian Farta Wijaya; Andysah Putera Utama Siahaan; Muhammad Iqbal; Zulham Sitorus
Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Vol 23 No 2 (2024): Agustus 2024
Publisher : PRPM STMIK TRIGUNA DHARMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jis.v23i2.10306

Abstract

Penelitian ini bertujuan untuk mengoptimalkan pengambilan keputusan bisnis di industri percetakan melalui komparasi Model Rating Factor dan metode VIKOR. Industri percetakan menghadapi berbagai tantangan dalam pengambilan keputusan yang kompleks. Model Rating Factor untuk mengidentifikasi faktor-faktor kritis yang mempengaruhi kinerja bisnis percetakan. Faktor-faktor ini kemudian dianalisis dan diberi bobot sesuai dengan tingkat kepentingannya, memberikan dasar yang kuat untuk evaluasi lebih lanjut. Pendekatan multi-kriteria metode VIKOR diterapkan untuk mengintegrasikan berbagai faktor yang telah diidentifikasi dan diberi bobot melalui Model Rating Factor . Metode VIKOR membantu dalam mengatasi konflik antara kriteria yang berbeda dan menghasilkan solusi kompromi yang optimal. Dengan menggabungkan kedua pendekatan ini, penelitian ini menyediakan kerangka kerja yang terstruktur dan sistematis untuk mendukung pengambilan keputusan yang lebih efektif di industri percetakan.Hasil penelitian menunjukkan bahwa penggunaan Model Rating Factor dan metode VIKOR dapat meningkatkan kualitas pengambilan keputusan dengan memberikan panduan yang lebih jelas dalam mengevaluasi dan memilih alternatif keputusan. Sehingga meningkatkan efisiensi operasional dan penggunaan sumber daya secara optimal. Komparasi antara kedua metode menunjukkan bahwa Model Rating Factor unggul dalam penilaian faktor individual, memberikan wawasan mendalam mengenai pengaruh setiap faktor. Di sisi lain, metode VIKOR lebih efektif dalam mengintegrasikan berbagai kriteria dan memberikan solusi yang lebih holistik. Dengan demikian, kombinasi kedua metode ini memberikan kerangka kerja yang lebih kuat dan komprehensif untuk mendukung pengambilan keputusan yang lebih baik dan cepat
Analysis of the Automated Sorting and Counting System for Tilapia Fry Based on Quantity, Size, and Gender Nazar saputra, Risfan; Sitorus, Zulham; Wahyudi, Muhammad; Rusydi Tanjung , Miftah
Bahasa Indonesia Vol 16 No 03 (2024): Instal : Jurnal Komputer
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalinstall.v16i03.232

Abstract

This research addresses the challenges in aquaculture, specifically in the cultivation of Tilapia in brackish water. The study focuses on enhancing the efficiency and accuracy of sorting and counting fish fry, a factor that significantly influences the profitability of cultivators. An automated sorting and counting system is proposed, capable of categorizing Tilapia fry based on their quantity, size, and gender. This system employs sensors and a microcontroller, such as Arduino, to process the gathered information and control the sorting mechanism. The sorted and counted fry are subsequently separated into different compartments for easy collection and further cultivation. The data collected by the system can be displayed on an LCD screen or stored for future analysis and planning. This research represents a significant advancement in aquaculture technology, potentially leading to increased profitability and sustainability in Tilapia farming. Further research and development are required to refine the system and ensure its effectiveness and reliability under various cultivation conditions.
RANCANG BANGUN SISTEM INFORMASI PEMINJAMAN AMBULANCE BERBASIS WEB DI DESA PADANG BRAHRANG Gilang Ramadhan; Heni Wulandari; Zulham Sitorus
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 7, No 3 (2024): August 2024
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v7i3.2077

Abstract

Teknologi komputerisasi semangkin berkembang dari waktu kewaktu, semangkin banyak instansi perusahaan baik pemerintah maupun suatu menerapkan teknologi komputerisasi didalam melaksanakan pekerjaannya. Dengan menggunakan teknologi komputerisasi ini dapat mempermudah suatu pekerjaan yang dahulunya menggunakan sistem pencatatan dengan media kertas sudah beralih kesistem komputerisasi. Desa Padang Brahrang memiliki luas 1.342,0000 KM² sehingga terdapat kesulitanya akses terhadap layanan medis darurat seperti ambulance seringkali terbatas dan sulit diakses. Dalam banyak kasus, pasien yang membutuhkan perawatan darurat menghadapi keterlambatan dalam mendapatkan ambulance karena proses peminjaman yang kurang terorganisir dan tidak efisien. Penelitian ini bertujuan untuk membangun aplikasi sistem informasi peminjaman Ambulance. Peracangan aplikasi ini mengunakan UML (Unified Modeling Language), bahasa pemrograman PHP dan database menggunakan mysql. Manfaat dari penelitian ini dapat memberikan kemudahan untuk pihak desa dalam pengolahan data peminjaman Ambulance yang menggunakan sistem komputerisasi. Dengan adanya penelitian ini dapat mengatasi permasalahan yang ada dan dapat meningkatkan pelayanan kesehatan kepada masyarakat desa dalam pengolahan data dan pembuatan laporan peminjaman Ambulance berbasis digitalisasi yaitu menggunakan teknologi sistem komputerisasi.
Analysis of Social Assistance Donor Classification at the Muhammadiyah Medan Orphanage Using SVM Helmy, Ahmad; Sitorus, Zulham; Ardya, Dwika; Hrp, Abdul Chaidir; T, Siti Isna Syahri; Sukrianto, Sukrianto
Sinkron : jurnal dan penelitian teknik informatika Vol. 9 No. 1 (2025): Research Article, January 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i1.14299

Abstract

The Putra Muhammadiyah Orphanage in Medan City is a social institution that relies on donor assistance to support various social programs. The problem that occurs at the Putra Muhammadiyah Orphanage in Medan is the difficulty in identifying potential and non-potential donors who have the potential to provide sustainable social assistance contributions. This study aims to conduct a comprehensive analysis and classification of donors using the Support Vector Machine method, an effective method in machine learning to handle classification problems with SVM with high accuracy. The research data consists of donor data with several main characteristics such as the amount of donation, the frequency of donations given, and the type of assistance. The data is processed through a preprocessing stage including data normalization and data division into training and testing data. Then, the SVM model is trained to classify donors into two categories, namely Potential Donors and Non-potential Donors. Based on the data obtained from the donation bookkeeping records of the Putra Muhammadiyah Orphanage in Medan City, it can be concluded that around 55 potential donors out of 90 donors and 35 non-potential donors out of 90 donor data. From the results of the analysis and testing of the model conducted, it can be concluded that the SVM method can classify "Potential Donors" and "Non-Potential Donors" with a fairly high level of accuracy. The level of accuracy obtained reached up to 89% with a precision value of 93%, a recall value of 89% and an f1-score of 90%. With these results, this study can provide significant benefits in the management of social assistance, especially helping orphanages to determine who are potential and non-potential donors. Therefore, this study is expected to have an impact on improving the sustainability of social programs at the Putra Muhammadiyah Orphanage in Medan City.
Design of Stunting Information System to Improve Employee Performance of Pertumbukan Village Office, Wampu District Kurniawan, Fahmi; Sitorus, Zulham; Rian Putra, Randi; Afrizal, Sandi
Bahasa Indonesia Vol 16 No 04 (2024): Instal : jurnal Komputer
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalinstall.v16i04.277

Abstract

Along with current technological developments, the application of information systems in a government agency is needed, because the rapid development of technology requires an agency to use information system technology in supporting performance in data processing to obtain faster and more accurate information, one of which is stunting data processing. This study aims to evaluate how the implementation of the stunting information system can improve the performance of village office employees to support the government to reduce the number of stunting in Pertumbukan Village, Wampu District. The method used is qualitative with data collection techniques through interviews, observations, and documentation studies. The results showed that the implementation of the stunting information system provided a number of benefits for village office staff such as improved performance, operational efficiency, and better ability to share stunting data information. In addition, the stunting information system also makes it easier for village office staff to manage data, monitor stunting residents, and make decisions for prevention and treatment. However, there are challenges such as lack of stunting literacy and limited infrastructure. With proper training and central government support, Pertumbukan Village Office employees in Wampu Sub-district are expected to be able to optimally utilize the stunting information system to improve performance in stunting data processing
Village Application at Pematang Serai Village Office Tanjung Pura District Langkat Regency Kurniawan, Fahmi; Sitorus, Zulham; Arnita, Vina; Ramadhan, Aditya; Risky, Raihan
Bahasa Indonesia Vol 16 No 04 (2024): Instal : jurnal Komputer
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalinstall.v16i04.279

Abstract

In this modern era, technology has become part of human needs, even in everyday life many people cannot be separated from technology. With technology, information is very easy to access and obtain. Various kinds of systems are made to make it easier to get and operate, one of which is by using the web. The village application system is a village administration service system that is converted from a conventional / computerized system to an information technology system in the form of a website. In this research, the village system is intended to improve the performance of village officials within the Pematang Serai Village government. The system is implemented using the MVC method which uses a native php programming model, with a combination of CSS and bosttrap. The website that was built was implemented at the Pematang Serai Village Office and was evaluated directly by the village staff to find out the shortcomings of the system to be used. With this village system, it is hoped that it can help village officials, especially the Pematang Serai Village office, in serving the administration of requests for cover letters submitted by the Pematang Serai Village community
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.
Co-Authors , Arpan , Fery Anugerah , Rahima Br Purba A.A. Ketut Agung Cahyawan W Abda Abda Ade Surya Bakti Pane Afrizal, Sandi Akbar Maulana, Taufik Aldi Kesuma Alvian Alvian Ami Abdul Jabar Amnisuhaila Abarahan 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 Iskandar Fahmi Kurniawan Farta wijaya, Rian Faza Wardanu Damanik, Dwi Feby Wulandari Sembirinng Gilang Ramadhan Gultom, Ananda Christianto Hafiz Rodhiy Haliza, Siti Nur Hamzah, Iswadi Harmiati Bungsu Bangun 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 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 Iqbal Muhammad Irfan Sarif 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 Rafandi, Rangga Ragil Satya Adi W Rahmat Hidayat Ramadani, Pebri Ramadhan, Aditya Ramadhan, Deni Ramadhani, Aditya 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 Sari Penjaitan, Melva Septia Harliansyah 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 Siti Nurhaliza Sofyan 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 Tiara Aninditha Tumangger, Oktavia Utama, Hendra Vina Arnita Vivin Yulfia Sarah Wahyu Agung Pratama Wahyuni, Meri Sri Wijaya, Rian Farta Wirda Fitriani Yahya, Susilawati Zai, Yulianus Zalukhu, Anzas Ibezato Zulfahmi Syahputera Zulfahmi Zulfahmi Zulfahmi Zulfahmi