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All Journal ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA JOURNAL OF SCIENCE AND SOCIAL RESEARCH Bulletin of Computer Science Research Jurnal Sains Teknologi dan Sistem Informasi Jurnal Publikasi Sistem Informasi dan Manajemen Bisnis
Imam Adlin Sinaga
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Social Sciences

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Sistem Informasi Pendistribusian dan Persediaan Gas Menggunakan Metode Distribution Requirement Planning Ade Boy Saputra; Fajrillah, Fajrillah; Imam Adlin Sinaga
SATESI: Jurnal Sains Teknologi dan Sistem Informasi Vol. 4 No. 1 (2024): April 2024
Publisher : Yayasan Pendidikan Penelitian Pengabdian ALGERO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/satesi.v4i1.2768

Abstract

The development of information technology at this time has grown so rapidly that it encourages various agencies or companies to use information technology to obtain useful information to advance their business. But behind the current technological advances, the processing of distribution and inventory data at PT Andalas Jaya Perkasa still uses a logbook or manual. Where if the data is needed at any time, you have to search among piles of data so that it is difficult to search for data because of the large amount of scattered data, and the data storage process that has not been computerized, this causes frequent data loss, besides that PT. Andalas Jaya Perkasa often experiences difficulties in meeting customer demand which results in inefficient inventory management, this can result in excess or shortage of stock, this condition can have an impact on reducing customer service. Based on the above problems, the authors build a gas distribution and inventory information system application using the distribution requirement planning method and supported using supply chain management strategies to improve the quality of service to customers at PT Andalas Jaya Perkasa optimally.
Pengembangan Sistem Informasi Geografis Pemetaan Tower Base Transceiver (BTS) Berbasis Web Menggunakan Metode Waterfall Muhammad Rivaldi; Khairul Abdi; Imam Adlin Sinaga
Bulletin of Computer Science Research Vol. 4 No. 5 (2024): August 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v4i5.365

Abstract

Tower Base Transfer Receiver or BTS plays an important role in providing more stable internet services to users. BTS Tower is used as the main access point so that devices can connect to each other and communicate between the same network. Medan Communication and Information Agency as the agency responsible for government affairs in the field of technology and informatics plays an important role in ensuring that BTS Tower operations can run smoothly. One of its tasks is to carry out monitoring, evaluation and reporting activities on information technology infrastructure such as BTS Tower. In carrying out its operational activities, Medan Communication and Information Agency stores data related to BTS Tower in the form of physical documents and digital files such as Microsoft Word & Excel. This will later cause the process of retrieving data related to BTS Tower to be slower because data related to BTS Tower is stored separately. In addition, technicians are often confused because of the large number of BTS Towers spread across various locations. The process of identifying and navigating to the Tower location often takes a long time which causes the maintenance process to be hampered. Therefore, a system was created that can be used as integrated storage that facilitates the process of archiving BTS Tower operational documents. The system that was built also provides a digital map that presents information about the distribution location of BTS Towers that are under the supervision of Medan Communication and Information Agency. The digital map can be used by field technicians for the identification and navigation process to the BTS Tower location, making it easier to maintain the BTS Tower. The system development in this study uses the Software Development Life Cycle Waterfall model. The system is built using the CodeIgniter Framework with the PHP programming language and the MySql database. The creation of digital maps uses the help of Leaflet Library javascript, Google Maps API and also Open StreatMap. The results of this study are Web-Gis which can facilitate the process of archiving documents and viewing data on the distribution of BTS Tower locations under the supervision of the Medan Kominfo service. The test results using the Black-Box testing method show that the features and functions of the system can run properly.
Klasterisasi Anggota Ikatan Arsitek Indonesia Sumatera Utara Menggunakan Algoritma K-Means Berbasis Framework Laravel Alif Saum Rizalitaher; Suendri Suendri; Imam Adlin Sinaga
Algoritma: Jurnal Ilmu Komputer dan Informatika Vol 10, No 1 (2026): April 2026
Publisher : Universitas Islam Negeri Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/algoritma.v10i1.26742

Abstract

The Indonesian Architects Association (IAI) of North Sumatra is a professional association that oversees architects in the North Sumatra region. In membership management, there are many inactive members, which risks causing a decline in membership numbers. This condition also has an impact on the development of the architectural profession in North Sumatra. This research aims to build a system that is able to cluster data on members who are at risk of leaving. The method used is the k-means algorithm, which is implemented in a web-based system. With this method, members are grouped into three main clusters based on their level of involvement. The research results show that the first cluster (C1) consists of 178 active members with high seniority (loyal). The second cluster (C2) includes new members who are active but still require further involvement (need engagement), with a total of 196 people. Meanwhile, the third cluster (C3) contains passive members who are at risk of leaving (retention target), with a total of 334 people. With this system, IAI North Sumatra can more easily identify and take strategic steps in maintaining and increasing the number of membership, so that it can support the development of the architectural profession in the area. Keywords: Clustering, K-means, Membership, IAI Sumut, Laravel
Perancangan Sistem Kotak Ide Digital sebagai Pengelolaan Inovasi Berbasis Website pada Bappelitbang Sumatera Utara Adam Haris; Fauzi Syahputra Harahap; Imam Adlin Sinaga
Jurnal Publikasi Sistem Informasi dan Manajemen Bisnis Vol. 5 No. 1 (2026): Januari : Jurnal Publikasi Sistem Informasi dan Manajemen Bisnis
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupsim.v5i1.6197

Abstract

The development of community driven innovation plays an important role in supporting regional growth. However, the idea management process at Bappelitbang North Sumatra, which is still carried out manually, often results in inefficiencies in verification, evaluation, and idea tracking. This study aims to design and develop a web-based Digital Idea Box Information System as a solution to simplify the submission and management of community innovations. The system was developed using the Software Development Life Cycle (SDLC) with the Waterfall model, which includes requirement analysis, system design using UML, implementation with PHP and MySQL, and system testing. The testing phase employed the black-box testing method to ensure that all system functions operated according to the specified requirements. The results show that the system successfully provides key features such as user registration, idea submission, status monitoring, admin verification, and report generation. Based on the test results, all features functioned properly without significant errors. Overall, this system improves the effectiveness, transparency, and speed of innovation management at Bappelitbang North Sumatra. In addition, it offers a more accessible platform for the public to share their creative ideas in an organized and convenient manner.
SISTEM INFORMASI REKOMENDASI BERITA PADA WEBSITE SOLOPOS.COM MENGGUNAKAN ALGORITMA APRIORI Muhammad Farhan; Muhammad Fakhriza; Imam Adlin Sinaga
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 8 No. 1 (2025): February 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i1.2810

Abstract

Abstract: Solopos.com presents reliable news from 2009 until the present day, covering various news categories such as education, sports, automotive, lifestyle, entertainment, business, and technology. With an overwhelming amount of news data, it is essential to establish a governance framework for recommending accessed news categories in order to enhance the business strategies of the company in the field of online news. This can be achieved through the implementation of data mining using the Apriori algorithm, which establishes associations within the data to generate news recommendations based on the accessed news category data. The implementation of news category recommendations using the Apriori algorithm involves creating tabular data with a binary number concept, generating itemsets of news categories based on minimum support values through iterations 1-3, forming association data based on confidence values, and determining the final rules Processing the recommendation of news categories using a minimum support value of 30% and a confidence value of 60% for 84 sample data of news categories obtained from each month within a year resulted in four association rule outcomes with the highest percentage of 71.4% among the total number of users. The Apriori algorithm method can be effectively applied to the news recommendation information system based on the seven news categories obtained from the Solopos.com website, thereby generating association values that can assist the company's strategies in news management. Keyword: Data Mining, Apriori Algorithm, News, Solopos. Abstrak: Solopos.com menyajikan berita terpercaya dari tahun 2009 hingga saat ini dengan beberapa kategori berita seperti pendidikan, olahraga, otomotif, lifestyle, entertainment, bisnis, dan teknologi. Dengan menghasilkan data berita terlalu banyak, perlunya tata kelola rekomendasi kategori berita yang diakses masyarakat guna meningkatkan strategi bisnis perusahaan dalam bidang berita online dengan menerapkan implementasi data mining menggunakan algoritma apriori yang membentuk asosiasi dalam data untuk menghasilkan rekomendasi berita sesuai dengan data akses kategori berita. Implementasi rekomendasi kategori berita menggunakan algoritma apriori dilakukan dengan membentuk data tabular dengan konsep bilangan biner, membuat itemset kategori berita sesuai nilai minimum support dengan iterasi 1-3, membentuk data asosiasi sesuai nilai confidence, dan menentukan rule akhir. Untuk 84 data sample kategori berita yang diperoleh dari setiap bulan dalam setahun, pengolahan rekomendasi kategori berita dengan nilai minimum support 30% dan nilai confidence 60% dapat menghasilkan 4 hasil nilai asosiasi yang memiliki persentase tertinggi yaitu sebesar 71,4% dari jumlah pengaksesnya. Metode algoritma apriori dapat digunakan pada sistem informasi rekomendasi berita berdasarkan 7 kategori berita yang diperoleh dari situs solopos.com dengan menghasilkan nilai asosiasi yang dapat membantu strategi perusahaan dalam pengelolaan berita. Kata kunci: Data Mining, Algoritma Apriori, Berita, Solopos.
Co-Authors Adam Haris Ade Boy Saputra Alif Saum Rizalitaher Fajrillah, Fajrillah Fauzi Syahputra Harahap Khairul Abdi Muhammad Fakhriza Muhammad Farhan Muhammad Rivaldi Suendri, Suendri