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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA JTIK (Jurnal Teknik Informatika Kaputama) Journal of Computer Networks, Architecture and High Performance Computing JiTEKH (Jurnal Ilmiah Teknologi Harapan) Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) Prosiding Snastikom Journal of Computer Science and Informatics Engineering Digital Transformation Technology (Digitech) Prioritas : Jurnal Pengabdian Kepada Masyarakat Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) All Fields of Science Journal Liaison Academia and Sosiety Jurnal Ilmu Komputer dan Sistem Informasi Al'Adzkiya International of Computer Science and Information Technology Journal Journal of Computer Science Artificial Intelligence and Communications JUDIS : Jurnal Multidisiplin dan Sains
Handoko, Divi
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Network Disaster Recovery Design Using Hot Standby Router Protocol (HSRP) Harahap, Abdul Rachman; Tommy, Tommy; Handoko, Divi
Al'adzkiya International of Computer Science and Information Technology (AIoCSIT) Journal Vol 2, No 1 (2021)
Publisher : Al'Adzkiya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55311/aiocsit.v2i1.94

Abstract

Computer network infrastructure located in a certain area is inseparable from possible disasters such as natural disasters caused by geological and demographic factors, fire - be it environmental factors or human error, or attacks on systems such as viruses or worms. Therefore, in building a network infrastructure we also need a network backup plan and recovery in the event of a disaster on the network infrastructure that supports the delivery of information. The backup network infrastructure must be in a different location with the main network infrastructure to anticipate major disasters. This research will implement the Hot Standby Router Protocol (HSRP), which is designed to support irregular IP traffic failures under certain circumstances. The purpose of this research is to implement Disaster Recovery Plans on technology related to network recovery, Provide recommendations for Disaster Recovery Institutions. The softaware used is GNS3. Keyword: Network, Backup, HSRP
Pelatihan Strategi Marketing Pemanfaatan Content Creator Pada Bisnis Food and Beverage Studi Kasus Bisnis Madu Hutan Hadinata, Edrian; Irwan, Dedy; Elhanafi, Andi Marwan; Handoko, Divi
JURIBMAS : Jurnal Hasil Pengabdian Masyarakat Vol 4 No 1 (2025): Juli 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juribmas.v4i1.460

Abstract

Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan kapasitas pemasaran digital UMKM Kiyaba Honey melalui pelatihan dan implementasi strategi marketing berbasis content creator. Permasalahan utama yang dihadapi mitra adalah keterbatasan strategi pemasaran yang relevan dengan perkembangan digital serta kurangnya pemanfaatan media sosial secara optimal. Metode kegiatan meliputi identifikasi profil bisnis, pelatihan strategi pemasaran digital, pemilihan content creator yang sesuai, produksi konten, dan evaluasi kinerja promosi secara kuantitatif dan kualitatif. Dua content creator terlibat dalam implementasi: Adlin Shaliyan (200.000 follower TikTok) dan Efi Winarti (10.000 follower), keduanya ditargetkan untuk menjangkau segmen usia dewasa di atas 35 tahun. Hasil menunjukkan bahwa konten dari Adlin mampu menjangkau 1.350 penonton dan menghasilkan peningkatan awareness tinggi, namun belum menghasilkan penjualan langsung. Sementara konten dari Efi memiliki jangkauan lebih rendah (220 penonton) namun menghasilkan 4 transaksi penjualan. Evaluasi kualitatif menunjukkan bahwa keduanya mendapatkan nilai rata-rata di atas 4,3 dari skala 5, yang mencerminkan kinerja konten yang baik dan sesuai dengan arahan. Kegiatan ini menyimpulkan bahwa pemanfaatan content creator dapat menjadi strategi efektif dalam memperluas visibilitas dan meningkatkan interaksi dengan konsumen, serta mendorong penjualan apabila dikombinasikan dengan pendekatan yang tepat
Analisis Deteksi Corona Virus Dengan Menggunakan Metode Forward Chaining Zulla, Hafiz; Handoko, Divi
JiTEKH Vol. 10 No. 1 (2022): Maret 2022
Publisher : Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35447/jitekh.v10i1.565

Abstract

This virus originated from Covid-19 or Corona Virus which has had an impact and symptoms that can kill humans with various complications of the disease they suffer. The problem that occurs is the panic of people who are reluctant to leave the house and are afraid of being exposed to the Corona Virus to carry out daily activities even to seek treatment at the hospital with symptoms that resemble the symptoms of exposure to the Corona Virus. coupled with the number of hospitals that are responsible for handling the Corona Virus which is a top priority for handling minor illnesses in general. Therefore, an expert system application for the diagnosis of Covid-19 or Corona Virus is needed. The expert system also requires a method that can operate, in this study the method used is Forward Chaining, the forward chaining method solves every symptom that appears and follows the next symptom in the same rule so that a decision tree is formed
Impact of Mobile Technology Use on Knowledge Management in the Education Sector Eka, Muhammad; Lubis, Yessi Fitri Annisah; Handoko, Divi; Rismayanti, Rismayanti; Supiyandi, Supiyandi
Journal of Computer Science, Artificial Intelligence and Communications Vol 2 No 1 (2025): May 2025
Publisher : Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/jocsaic.v2i1.21

Abstract

The integration of mobile technology into knowledge management (KM) practices has reshaped the landscape of information sharing and learning in the education sector. This study explores how mobile devices and applications contribute to the efficiency, accessibility, and effectiveness of KM processes among educators, students, and administrators. With the growing adoption of smartphones, tablets, and mobile learning platforms, educational institutions are experiencing a shift from traditional knowledge repositories to dynamic, real-time knowledge exchange environments. The research employs a mixed-method approach involving surveys and in-depth interviews with teachers, students, and IT staff across several secondary and higher education institutions. The findings reveal that mobile technology enhances knowledge acquisition and dissemination by enabling anytime-anywhere access to learning materials, collaborative tools, and institutional knowledge databases. However, challenges such as data security, digital literacy gaps, and resistance to change remain significant barriers to optimal utilization. Furthermore, the study highlights the role of institutional policies and support systems in facilitating effective mobile-based KM adoption. The results indicate that institutions with clear mobile technology strategies and investments in user training are more likely to achieve improved knowledge-sharing outcomes. This research provides practical insights into leveraging mobile technology to strengthen KM frameworks in education and emphasizes the need for continuous adaptation to technological advancements to sustain knowledge-based performance improvements.
The Use of Knowledge Management Systems to Improve Decision-Making in Local Government Saragih, Rusmin; Lestari, Yuyun Dwi; Lubis, Yessi Fitri Annisah; Handoko, Divi
Journal of Computer Science, Artificial Intelligence and Communications Vol 2 No 1 (2025): May 2025
Publisher : Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/jocsaic.v2i1.22

Abstract

Effective and data-driven decision-making has become an urgent need for local governments in facing the challenges of public service complexity, socio-economic dynamics, and demands for transparency and accountability. One of the strategic approaches to support this process is through the implementation of a Knowledge Management System (KMS). This research aims to explore the role and impact of KMS implementation on the improvement of decision-making quality in regional government organizations. A qualitative approach is used in this study with a case study method on several regional government agencies in Indonesia that have implemented KMS, combined with an analysis of related academic literature. Research results show that KMS is capable of improving the efficiency of storage, distribution, and access to organizational knowledge, both tacit and explicit. KMS supports faster, more accurate, and participatory decision-making because strategic information can be obtained and used promptly by policymakers. The findings also indicate that the success of KMS implementation is greatly influenced by organizational culture, leadership support, and the capacity of human resources in managing and sharing knowledge. This study recommends the comprehensive integration of KMS into the government work system, with an emphasis on training aspects, digital infrastructure, and internal policies that support the knowledge-sharing process. The theoretical and practical implications of these findings are an important contribution to the development of knowledge-based governance at the regional level.
Evaluating the Impact of Knowledge Management Systems on Organizational Performance: A Technology Company Case Yasir, Amru; Apriadi, Deni; Siregar, Muhammad Noor Hasan; Handoko, Divi; Rahman, M. Arif
Journal of Computer Science, Artificial Intelligence and Communications Vol 2 No 1 (2025): May 2025
Publisher : Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/jocsaic.v2i1.27

Abstract

This study aims to evaluate the impact of Knowledge Management Systems (KMS) on organizational performance within a technology company. In the digital era, knowledge has become a critical asset that drives innovation, efficiency, and competitive advantage. By leveraging a case study approach, the research examines how the implementation of KMS influences various performance indicators, including productivity, decision-making quality, employee collaboration, and knowledge retention. Data were collected through interviews, observations, and internal documents, and analyzed using a mixed-method approach. The findings suggest that effective use of KMS significantly improves organizational agility and innovation capabilities. However, the study also identifies challenges such as resistance to change, lack of user training, and insufficient integration with existing workflows. To maximize the benefits of KMS, organizations must foster a knowledge-sharing culture, provide ongoing support, and align KMS strategies with business objectives. The insights from this research are expected to contribute to the development of more effective knowledge management practices in technology-based organizations.
Analysis Of Decision Support Systems Edas Method In New Student Admission Selection Siregar, Yunita Sari; Zakir, Ahmad; Syahputri, Nenna Irsa; Harahap, Herlina; Handoko, Divi
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 1 (2023): Article Research Volume 5 Issue 1, January 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i1.2057

Abstract

University of Harapan Medan is one of the private tertiary institutions in North Sumatra which has an informatics engineering study program. The informatics engineering study program is a study program that has many enthusiasts. Every year this study program graduates more than 200 students. To produce graduates who have potential, reliability and competence in the field of technology and information, it is necessary to make a selection at the beginning, namely at the time of admission of new students. There are 5 criteria used in the selection process, including the average report card score, basic ability test, computer ability test, psychological test, and interview. Each criterion has 5 weights of values, namely very high, high, medium, low and very low.  The selection process for admission of new informatics engineering students with a decision support system for the EDAS (Evaluation Based On Distance From Average Solution) method.  Where the stages in this method are by normalizing the decision matrix and looking for the average from alternatives, then from these results calculate the average positive distance (PDA) and negative distance (NDA) as well as the assessment of the weighted attribute weights of SPi and SNi, after that the normalization of positive and negative distance weights is carried out for determining the ranking score. From the results of the analysis carried out using the EDAS method, with a sample of 10 prospective students it was concluded that the 6th order student candidate had the highest score with a score of 0.519 and the lowest score in the 7th order student with a score of 0.14. Therefore, the level of accuracy of the EDAS method in selecting new student admissions is around 20%. Of course, this accuracy value will change with large data samples.
Penerapan Metode Mabac Dalam Menentukan Kopi Terlaris Berdasarkan Tingkat Harga Pada Perusahaan Kopi Kenangan Hidayat, Aprizal; Siregar, Dodi; Handoko, Divi
Algoritma: Jurnal Ilmu Komputer dan Informatika Vol 7, No 1 (2023): April 2023
Publisher : Universitas Islam Negeri Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/algoritma.v7i1.15368

Abstract

Kopi Kenangan is a coffee beverage company founded in Indonesia in 2017 by Edward Tirtanata, James Prananto and Cynthia Chaerunnisa. Currently, Kopi Memories has opened as many as 230 outlets throughout Indonesia. Various menus have been served at Kopi Memories, especially at Kopi Memories, which is located in the city of Medan, so far there are 60 menus available. The number of menus that have been presented, sometimes people who just want to buy memories coffee products are still confused in choosing the best-selling memory coffee products in their coffee products, plus there is no system in determining the best-selling coffee for memories coffee. Departing from the problems above, the author is interested in making a decision support system in determining the best-selling coffee products based on price and sales levels. The decision support system itself is a system that is able to provide both problem-solving abilities and the ability to solve semi-structured problems. The decision system method used is the MABAC method which is a multi-criteria comparison method. This method was chosen because, service companies with other methods of multi-criteria decision making and this study resulted in the memory of Thai tea coffee products succeeded in producing the best products with a calculation value of 0.331616 Keywords: Mabac, Memories Coffee, Decision Support System
PEMANFAATAN VOIP PHONE SYSTEM SEBAGAI SARANA KOMUNIKASI JARINGAN LOKAL HANDOKO, DIVI
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 4 No. 2 (2020): Volume 4, Nomor 2, Juli 2020
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v4i2.607

Abstract

Communication is a very important part in conveying information, especially voice information or voice, can be done in various ways, one of them using the telephone. Voice over Internet Protocol (VoIP) is a means of delivering information at a very low cost compared to analog phones and can be applied to existing office equipment, such as a computer, laptop and Android smartphone without the need to buy special devices. VoIP can be implemented using the internet (like WhatsApp) or on a local network (such as LAN or WLAN) which is very suitable to be implemented in companies or offices. VoIP can be implemented in companies in areas that are not affordable by the internet, VoIP is an alternative digital telephone technology in delivering information in the form of voice. The main objective of this research is to discuss the utilization and implementation of VoIP Phone voice communication systems using Local Area Network (LAN) or Wireless Local Area Network (WLAN) as a transmission media. VoIP phone systems require 2 device models, namely devices that serve as servers with the trixbox operating system and softphone on a client computer or laptop.
Implementasi Data Mining Klasifikasi Algoritma Chaid Dalam Menentukan Pola Penerima Mahasiswa Baru Sari Siregar, Yunita; Handoko, Divi; Khairani, Mufida; Syahputri, Nenna Irsa; Harahap, Herlina
Digital Transformation Technology Vol. 3 No. 2 (2023): Artikel Periode September 2023
Publisher : Information Technology and Science(ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/digitech.v3i2.3612

Abstract

Universitas Harapan Medan adalah salah satu Perguruan Tinggi di Sumatera Utara yang memiliki beberapa fakultas, salah satu diantaranya yaitu Fakultas Teknik dan Komputer. Dimana pada fakultas tersebut terdapat 7 program studi yaitu Teknik Elektro, Teknik Sipil, Teknik Mesin, Teknik Informatika Teknik Industri, Sistem Informasi dan Manajemen Informatika. Program studi Teknik Infrmatika merupakan program studi dengan akreditasi B dengan jumlah mahasiswa aktif sampai tahun 2022 yaitu 1.366 orang. Berdasarkan data tersebut dapat dilihat bahwa program studi informatika memiliki jumlah peminat yang sangat banyak bagi mahasiswa. Dalam proses penerimaan mahasiswa baru seringkali membuat susunan berkas yang sangat banyak, sehingga menyulitkan pihak akademik dalam mengelola dan menentukan mahasiswa yang dapat masuk dalam program studi teknik informatika. Oleh sebab itu, diperlukan suatu pola yang dapat menentukan mahasiswa yang lulus dan tidak lulus menggunakan metode klasisfikasi data mining CHAID (Chi Squared Automatic Interaction Detection). Tujuan dalam penelitian ini adalah Merancang model pola karakteristik berdasarkan kriteria dalam seleksi penerimaan mahasiswa baru pada program studi teknik informatikaMenganalisis metode data mining decision tree dengan algoritma CHAID (Chi Squared Automatic Interaction Detection) dalam menentukan siapa yang lulus berdasarkan kriteria-kriteria yang telah ditentukan. Hasil pohon keputusan dalam perancangan pola karakteristik penerimanan calon mahasiswa baru terdapat 43 rule dimana , faktor tertinggi dari ke- 3 faktor yang mempengaruhi pada 75 data testing adalah kriteria Nilai Rapor. Faktor kedua yang juga mempengaruhi hasil keputusan adalah kriteria Ujian CAT (Computer Assisted Test). Dan faktor Nilai Wawancara terakhir yang juga mempengaruhi hasil keputusan adalah kriteria.
Co-Authors Aditya, Rili Ahmad Zakir, Ahmad Andi Marwan Elhanafi, Andi Marwan Ari Usman, Ari Arief Budiman Dahri, Fachru David David Deni Apriadi Dodi Siregar Eka, Muhammad Faisal, Ilham Habibie, Ananda Hadinata, Edrian Hanafi, Andi Marwan El Harahap, Abdul Rachman Harahap, Herlina Hidayat, Aprizal Hulu, Neil Kevin Imran Lubis Irsa Syahputri, Nenna IRWAN, DEDY Khairani, Mufida Lestari, Yuyun Dwi Marwan, Andi Maulana, Wahyudi Muhammad Hidayat Muhammad Noor Hasan Siregar Muhardi, Rama Nur Wulan, Nur Pradana, Satrio Apriza Pratama, Almayadi Priyowidodo, Stephanus Rahman, M. Arif Rismayanti Rismayanti Rusmin Saragih, Rusmin Salammudin Sari, Ika Sarudin, Sarudin Siregar, Yunita Sari Supiyandi Supiyandi Suriati, Suriati Syahputri, Nenna Irsa Tengku Mohd Diansyah, Tengku Mohd Tommy, Tommy Ummul Khair Yasir, Amru Yessi Fitri Annisah Lubis Zulla, Hafiz