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Jamaluddin
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Universitas Methodist Indonesia Jl. Hang Tuah No. 8 Medan Sumatera Utara - Indonesia Kode Pos 20152
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TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Published by Universitas Methodist Indonesia
ISSN : -     EISSN : 28281276     DOI : https://doi.org/10.46880/tamika
Core Subject : Economy, Science,
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi merupakan Jurnal Penelitian Bidang Manajemen Informatika dan Komputerisasi Akuntansi yang dikelola ole Program Studi Manajemen Informatika dan Komputerisasi Akuntansi dan diterbitkan oleh Universitas Methodist Indonesia. TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi terbit per semester di bulan Juni dan Desember setiap tahun.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 269 Documents
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Rancang Bangun Aplikasi Penilaian Pelayanan Desa di Kantor Lurah Sei Agul Menggunakan Metode Service Quality Silalahi, Vina Aulia; Nidia Enjelita Br. Saragih
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 5 No 2 (2025): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

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Abstract

Public services at the village office play a crucial role in creating an efficient, transparent government focused on public satisfaction. However, many residents are still dissatisfied with the services provided, both in terms of speed, accuracy, and the attitude of officers. Therefore, a system is needed that not only makes it easier for the public to request services but also allows for objective assessment of service quality. This study aims to design and build a mobile-based application that facilitates service requests and service assessments by the public. In the assessment, the Service Quality (ServQual) method is used, which measures the gap between public expectations and perceptions across five dimensions: tangibles, reliability, responsiveness, assurance, and empathy. The result of this study is an Android-based application for accessing village services and providing input to the village office in continuously improving service quality.
Perbandingan Kinerja Naïve Bayes, Support Vector Machine, dan K-Nearest Neighbor dalam Analisis Sentimen Mobile Legends Zikirlah, Hikmawan Alvin; Iltavera Paula; Muhammad Fazilla; Riski Annisa; Lady Agustin Fitriana
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 5 No 2 (2025): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

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Abstract

The rapid advancement of information and communication technology has significantly increased the popularity of online games in Indonesia, one of which is Mobile Legends: Bang Bang (MLBB), with millions of active users. The abundance of user reviews on digital platforms provides valuable data for analysis using text mining and natural language processing (NLP) approaches. Sentiment analysis is applied to classify user opinions into positive, negative, and neutral categories, offering insights into player satisfaction and perceptions of game quality. This study compares the performance of three classification algorithms, Naïve Bayes (NB), Support Vector Machine (SVM), and K-Nearest Neighbor (KNN), in analyzing sentiment from Mobile Legends user reviews on the Google Play Store. A total of 5,000 reviews were collected using the web scraping technique and processed through the Knowledge Discovery in Databases (KDD) framework, which includes cleaning, case folding, tokenization, normalization, and stopword removal. Sentiment labeling was performed using a lexicon-based approach with the InSet sentiment lexicon. The dataset was divided into training and testing sets with an 80:20 ratio and evaluated using accuracy, precision, recall, and F1-score metrics. The results indicate that the SVM algorithm achieved the highest accuracy of 88.1%, followed by KNN at 65.1% and NB at 62.6%. Thus, SVM is recommended as the most effective model for sentiment analysis of Mobile Legends user reviews.
Pengembangan Aplikasi Penjualan Kopi dengan Metode FIFO pada CV. Mandiri Kopi Berbasis Android Ramadhania, Dwindah; Ommi Alfina
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 5 No 2 (2025): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

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Abstract

CV. Mandiri Kopi is a coffee company with a variety of product variants. The company faces a challenge in accurately managing its inventory, particularly ensuring that incoming and outgoing products comply with their expiration dates and arrival dates. This aspect can potentially lead to losses if older products are not promptly sold. To address this issue, this study aims to develop an Android-based coffee sales application that implements the FIFO method in inventory management. The application's main features include recording sales transactions, managing inventory using the FIFO method, recording sales reports, and notifying users of products approaching expiration. Test results indicate that the application can help the company manage product inventory more efficiently, reduce the risk of stockpiling, and make it easier for admins to monitor sales reports. Thus, the Android-based coffee sales application using the FIFO method can improve the effectiveness and accuracy of inventory management at CV. Mandiri Kopi.
Penerapan Big Data Analyst terhadap Pengiriman Barang Cacat Menggunakan Metode K-Means Febriansyah, Ardhana; Fithry Tahel
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 5 No 2 (2025): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

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Abstract

PT ID Express, a delivery service company, faces the challenge of high levels of damage to goods during the shipping process. This damage ranges from minor scratches or dents to severe damage such as breakage or destruction, which directly impacts customer satisfaction and the company's reputation. To address this issue, a data-driven approach capable of comprehensively identifying patterns and causal factors for damage is required. This study aims to analyze the types of damage to goods based on shipping data using the K-Means Clustering method. This method is used to group damaged goods data into several clusters based on the level of similarity in their characteristics. The results show that the damage data can be grouped into two main clusters: minor damage and major damage, each consisting of five dominant types of damage. Through this clustering, companies can gain a better understanding of frequently occurring damage patterns and can design more effective preventive measures. This research is expected to serve as a reference in the application of big data analysis in the logistics sector to improve service quality and reduce the risk of damage to goods during the distribution process.
Perancangan Sistem Informasi Hasil Produksi Sawit pada PT. Torganda Berbasis Web Butarbutar, Cecilia Margareta; Resianta Parangin-angin; Rijois Iboy E. Saragih
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 5 No 2 (2025): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

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Abstract

The palm oil industry is one of the strategic sectors in the Indonesian economy, but the management of its production data still faces several obstacles, especially in recording and reporting processes that are still carried out manually. This study aims to design and develop a web-based information system for palm oil production at PT. Torganda to improve efficiency, accuracy, and data processing speed. The research methods used include observation, documentation, and system analysis. The system was designed using Data Flow Diagrams (DFD), Entity Relationship Diagrams (ERD), and a structured database design. The results indicate that the system can automate harvest data processing, accelerate the creation of daily, monthly, and annual reports, and provide real-time information access. Thus, the system has the potential to improve operational performance and support timely decision-making at PT. Torganda.
Penerapan Algoritma Apriori terhadap Penjualan Obat pada Apotek Cahaya Paris Berbasis Web Rahmanda, Habib; Ok Muhammad Ihsan
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 5 No 2 (2025): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

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Abstract

Cahaya Paris Pharmacy sells both prescription and non-prescription drugs. A common problem at Cahaya Paris Pharmacy is the mismatch between stock and demand, causing some drugs to rarely leave shelves until their expiration date. The drug sales data management system is not yet computerized, resulting in inefficient sales reports and errors. The pharmacy has not yet implemented the Apriori Algorithm method to analyze patterns in existing transaction data. To address these issues, Cahaya Paris Pharmacy requires a web-based system that implements the Apriori Algorithm method. The resulting drug sales system is capable of analyzing drug sales patterns using the web-based Apriori Algorithm method. The resulting sales patterns aim to recommend drugs to customers, provide discount strategies, and develop the pharmacy's ability to manage transaction data using the Apriori Algorithm method for easier and more accurate calculations.
Rancang Bangun Aplikasi Presensi Siswa Berbasis QR Code pada SMK Swasta Bina Satria Medan Nugraha, Rendy Editya; Soeheri, Soeheri
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 5 No 2 (2025): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

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Abstract

Student attendance is a routine activity in schools that serves to monitor students’ presence and acts as an indicator of discipline. At SMK Swasta Bina Satria Medan, the attendance process is still carried out manually using paper-based attendance lists, which is time-consuming, prone to fraud, and at risk of data loss. To address these issues, a technology-based attendance system that is fast, accurate, and integrated is required. This study aims to design and develop a student attendance application based on QR code technology, which can be used by subject teachers through Android devices. Each student has a personal QR code displayed through a dedicated Android application for students. Teachers scan the QR code using the Android application to automatically record attendance into the database. The system is developed using Java with MySQL as the database. The test results show that the application can perform attendance quickly and accurately, minimize recording errors, and reduce the potential for fraud. Attendance data is stored digitally and can be easily recapped according to the desired period. With this application, the attendance administration process at SMK Swasta Bina Satria Medan becomes more efficient and practical and supports digital transformation in the school environment.
Pengembangan Sistem Rekomendasi Wisata Kota Medan Berdasarkan Lokasi dan Preferensi Pengguna Menggunakan Algoritma Hybrid Filtering Berbasis Android dan Web Ghozali, Alexander Valiant; Ratih Adinda Destari
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 5 No 2 (2025): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

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Abstract

Medan, the capital of North Sumatra Province, boasts diverse tourism potential, ranging from culinary, historical, and cultural attractions to natural destinations. Unfortunately, many tourists, both local and international, are still unfamiliar with Medan's diverse destinations. This issue is due to limited information that is structured and tailored to the needs and preferences of each user. The solution to addressing the challenges of tourist attraction recommendations in Medan is to design an Android-based application using the hybrid filtering method. A recommendation system is needed to address the challenge of selecting tourist destinations that align with user preferences and can present more personalized and accurate travel options. By considering the characteristics of tourist attractions in Medan and the needs of tourists, the development of an Android-based recommendation system is the right solution to facilitate the search for tourist destinations.
Penerapan Metode POQ Dalam Penentuan Persediaan Material Proyek pada PT. Swakarya Putra Berbasis Android Ginting, Daniel; Rika Rosnelly
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 5 No 2 (2025): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

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Abstract

Material inventory is a crucial factor in the smooth running of construction projects. PT. Swakarya Putra has been facing challenges in managing its inventory, such as delays in stock information, recording errors, and unplanned purchases. The purpose of implementing the POQ method is to control material inventory to minimize inventory costs and ensure timely material availability. The POQ method contributes to determining the optimal order quantity and timing by considering ordering, storage costs, and project material requirements. The system is built on an Android platform so that it can be accessed in real time by relevant parties in the field. The implementation results indicate that the system is able to calculate material ordering schedules accurately, simplify stock monitoring, and reduce the risk of shortages or excess inventory. Thus, the implementation of the Android-based POQ method can improve the efficiency of controlling project material inventory at PT. Swakarya Putra. This method helps minimize the risk of stockouts and excess stock, as well as improve operational efficiency by ordering quantities at specific time intervals.

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