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All Journal Jurnal Simetris Jurnal TIMES IJEBD (International Journal Of Entrepreneurship And Business Development) METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Jurnal Mantik International Journal of Informatics and Computation Journal Of Information And Technology Unimor (JITU) Jurnal Pengabdian Pada Masyarakat METHABDI Majalah Ilmiah METHODA Jurnal Pengabdian Masyarakat Nauli Journal of Law, Economics, and Engineering
Samuel Van Basten Halomoan Manurung
Universitas Methodist Indonesia
Religion Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Physics Public Health Social Sciences

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Pemanfaatan Aplikasi Customer Relation Management pada koperasi Samuel Manurung; Mufria J. Purba
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 19 No. 1 (2019)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v19i1.474

Abstract

Cooperatives are usually referred to as a means to help people from low economic circles up to economic conditions upwards. With the existence of a unit for savings and loans can help the community in the district of Kabanjahe open a business in improving the economy of the people in Kabanjahe. Payment of invoices by customers and events to be carried out by cooperatives never arrive due to a lack of information received by customers. Therefore we need a system that is very helpful in the process of supporting events in the cooperative. The CRM (Customer Relationship Management) application can assist in the notification process and simplify the cooperative payment transaction process. This research can facilitate the cooperatives and cooperative members in conducting transactions and is very helpful also to customers in the notification process of cooperative activities and customer bills and notifications are given 3 days before the activities or events from CU.
ANALISIS SENTIMEN MASYARAKAT PADA MEDIA SOSIAL PLATFORM X TERHADAP PERTAMINA MENGGUNAKAN METODE DECISION TREE Naibaho, Yksan; Manalu, Darwis Robinson; Samuel VB Manurung
METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Vol. 12 No. 1 (2026): Volume 12 Nomor 1 Tahun 2026
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/mtk.v12i1.5419

Abstract

Platform X social media has become a platform for people to express their opinions, including on issues related to Pertamina. This study aims to analyze public sentiment on Platform X towards Pertamina using the ID3 (Iterative Dichotomiser 3) algorithm-based Decision Tree method. The data used are 2,005 tweets collected with the keyword "Pertamina Corruption". The data went through a preprocessing stage which includes case folding, tokenizing, stopword removal, and stemming. Text features were converted into binary representations (Binary Weighting) of 10 main keywords such as 'corruption', 'pertamina', and 'prosecutor'. The ID3 Decision Tree model was built recursively by selecting separator attributes based on the highest Information Gain value. The results showed that the built model had excellent performance. Evaluation on testing data (20% of the total data) produced an accuracy of 98.50%, with a precision value of 97.98%, a recall of 98.50%, and an F1-score of 98.22%. The 5-fold cross-validation results also confirmed the model's stability, with an average accuracy of 98.30% and a low standard deviation (0.0046). The contains_korupsi attribute was identified as the most informative root node in the decision tree structure. The conclusion of this study is that the Decision Tree method with the ID3 algorithm has proven effective and reliable in classifying public sentiment toward Pertamina on Platform X with high accuracy. The results of this analysis are expected to be used by Pertamina in understanding public opinion and formulating more appropriate communication strategies.
Implementation of Artificial Neural Networks to Predicte Laptop Sales Using the Backpropagation Algorithm Rumahorbo, Edi Saputra Pradana; Dumayanti, Imelda Sri; Manurung, Samuel
Journal of Law, Economics, and Engineering Vol. 2 No. 1 (2026)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

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Abstract

Penelitian ini dilakukan untuk memprediksi penjualan laptop di X Computer Elektronik, Kota Medan. Metode yang digunakan oleh peneliti adalah metode Jaringan Saraf Buatan dengan Algoritma Backpropagation. Dalam metode penelitian ini, proses ilmiah untuk memperoleh data yang akan digunakan beserta proses pengolahannya dalam memecahkan suatu masalah akan dijelaskan. Gambaran umum objek penelitian menjelaskan lokasi, waktu penelitian, logo, tujuan, visi dan misi di X Computer Elektronik. Dalam menyelesaikan tesis ini, penulis melakukan penelitian di X Computer Elektronik, yang berlokasi di Jl. Ps. 7 No. 125, Tembung, Kecamatan Percut Sei Tuan, Kabupaten Deli Serdang, Sumatera Utara. Sumber data yang digunakan adalah data penjualan X Computer Elektronik dari Juli hingga Desember 2023, yang dapat dilihat pada [tautan]. Dari uraian yang telah dibahas pada bab sebelumnya, dapat disimpulkan: Model jaringan saraf tiruan dengan metode backpropagation yang dikembangkan untuk memprediksi penjualan laptop menunjukkan kinerja yang konsisten antara fase pelatihan dan pengujian, dengan nilai Mean Absolute Error (MAE) sebesar 4,3400. Struktur optimal model terdiri dari 3 unit input, 4 unit tersembunyi, dan 3 unit output (3-4-3). Kinerja model bervariasi secara signifikan antar merek laptop, dengan MAE individual berkisar antara 0,9462 (terbaik, untuk Acer Aspire 3 Slim) hingga 9,1163 (terburuk, untuk Apple MacBook Air 2020). Hal ini menunjukkan bahwa model memiliki tingkat akurasi yang bervariasi tergantung pada karakteristik penjualan masing-masing merek.
Co-Authors Adam Jordie Sinulingga Anton Atno Parluhutan Sinaga Cinta Sinaga Dandi Daniel Siregar Darwis Robinson Manalu Dumayanti, Imelda Sri Elperida Juniarni Sinurat Gea, Asaziduhu Gerin Geraldho Bastanta Ginting Gideon Haloho Haloho Gortap Lumbantoruan Harlen Gilbert Simanullang Henri Saragih Herlina Allagan Humuntal Rumapea Imelda Sri Dumayanti Indra Kelana Jaya Indra M Sarkis Simamora Indra M. Sarkis Indra M. Sarkis S. Indra M. Sarkis Simamora Ingngarso Simanullang Jimmy F. Naibaho Larosa, FGN Larosa Maludin Panjaitan Marzuki Sinambela Marzuki, Sinambela May Rezine Sabatine Hutabarat Mufria J. Purba Naibaho, Jimmy F. Naibaho, Yksan Naikson Fandier Saragih Nettina Samosir Rio Aprijal Manurung Robinhot Gultom, Robinhot Rumahorbo, Benget Rumahorbo, Edi Saputra Pradana Sahat P. Remus Silalahi Saragih, Naikson F. Silalahi, Veraci Simanullang, Harlen Sitepu, Marheni Sondang N. B. Marbun Surianto Sitepu Surianto Sitepu Toman Panggabean Yohanna, Margaretha Yolanda Rumapea yolanda yulianti pratiwi rumapea Yoprin H Nainggolan