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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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Perbandingan Metode Blackbox Testing dalam Pengujian Tampilan Pendaftaran Rumah Sakit Hewan Joosten, Joosten; Handoko, Handoko; Murdiaty, Murdiaty; Elly, Elly
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 2(SEMNASTIK) (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akunt
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No2(SEMNASTIK).pp8-13

Abstract

Software can be said to be suitable for use when testing has been carried out. The testing stage is an important element in making software or websites. In making software for animal hospitals, there is no validation and verification so testing is needed. This study uses the information display of the patient registration section of the animal hospital and is tested with two Black Box Testing methods, namely Equivalence Class Partitioning (ECP) and Boundary Value Analysis (BVA). The test results with the ECP method are higher than the invalid ones, so it is necessary to change the input value limit. Then for the BVA test, the percentage of valid is higher than invalid. From the results of the two methods, it is shown that the BVA method is better than the ECP method, so it is necessary to improve the data type section when inputting
Implementasi Sistem Pendukung Keputusan Berbasis Internet of Things (IoT) Untuk Menentukan Kesehatan Tanaman Bunga Kertas Menggunakan Metode Simple Additive Weighting (SAW) Asmaul Husna; Fatma Sari Hutagalung
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 2(SEMNASTIK) (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akunt
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No2(SEMNASTIK).pp31-39

Abstract

Ornamental plants are plants that are in great demand these days because of their beauty and attractiveness. Ornamental plants are an important aspect because they are able to maintain environmental health, the more ornamental plants the better it is also to beautify the environment. In this research, a determination process is carried out to determine the health of ornamental plants, one of which is Bougenville Flower or commonly referred to as paper flower, which is an ornamental plant whose existence is quite popular among the public and is widely spread in various regions in Indonesia. The method used in this research is the Simple Additive Weighting (SAW) method to rank alternatives. The criteria used are 3 namely air temperature, air humidity, and soil pH, while the alternatives used are 10 paper flower ornamental plants with the aim of ranking the best or healthy paper flower plants from the samples tested. Implementation with the SAW method produces recommendations for paper flower ornamental plants, namely A3 or paper flower 3 accompanied by the results of ranking values with a value of 0.992 which is the highest value compared to other alternatives. This research has also been calculated using Confusion Matrix with an accuracy test result of 60%.
Prototipe Sistem Rekomendasi Tempat Wisata Menggunakan Algoritme Simple Additive Weighting (SAW) Sibarani, Alexander J. P.; Amalia, Suci; Larasati, Fadya
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 2(SEMNASTIK) (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akunt
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No2(SEMNASTIK).pp1-7

Abstract

Tourism is a strategic sector that can drive economic growth in various regions, including North Sumatra, which offers diverse tourism potential. However, tourists often face difficulties in selecting destinations that match their preferences and needs. Each tourist has different characteristics and preferences, such as facilities, number of visitors, ticket prices, and quality of services, which become the main considerations when choosing a destination. Therefore, a decision support system is needed to provide destination recommendations based on these criteria. This study aims to design a prototype web-based decision support system using the Simple Additive Weighting (SAW) method, which can offer tourism recommendations according to user preferences. The SAW method was chosen to assess the predetermined criteria accurately. In this study, four main criteria facilities, number of visitors, ticket prices, and service quality are used as the basis for decision-making. The results of this research show that the decision support system prototype was successfully designed and can provide tourism recommendations in North Sumatra based on tourists’ preferences. This system is expected to assist tourists in choosing the most suitable travel destination based on their specific needs.
Sistem Informasi Bel Sekolah Otomatis dengan Fitur Penjadwalan Dinamis Menggunakan Teknologi Mikrokontroler Pasaribu, Sutrisno Arianto; Pasaribu, Victor Patar; Rozy, Ahmad; Wijaya, Vera; Sari, Suci Amalia
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 2(SEMNASTIK) (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akunt
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No2(SEMNASTIK).pp103-107

Abstract

There are many innovations made to help students learn better due to advances in educational technology. One innovation is an automatic school bell application that has dynamic scheduling. This application aims to replace the manual bell system which often requires direct intervention from officers. With dynamic scheduling, schools can easily set schedules according to their needs, be it regular schedules or special schedules such as exams or other activities. The focus of this research is the design and development of an automatic school bell application that supports automatic bell time settings. With the dynamic scheduling feature, this system allows users to change or adjust the bell schedule without disrupting the lesson schedule or other important times. The implementation results show that this application works well and allows easy bell schedule settings and improves operational efficiency in the school environment. In addition, users will receive automatic notifications about schedule changes, which reduces errors or delays in ringing the bell. This application is expected to be a solution for schools that want to improve their time management and increase their operational efficiency.
Analisis Sentimen Tiktok: Wajib Militer dengan Metode Lexicon Based dan Naive Bayes Classifier Saprizal, Arpan Mualief; Nor Anisa
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 2 (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No2.pp242-246

Abstract

The issue of conscription in Indonesia has sparked a heated debate among the public, especially on the social media platform TikTok. This study aims to analyze public sentiment on the issue through analysis of TikTok user comments. The method used is lexicon-based sentiment analysis. Data of 5,212 comments were collected using web scraping techniques with the keyword "conscription in Indonesia". The results of the analysis showed that the majority of comments (53.28%) were positive, followed by neutral comments (35.79%), and negative comments (10.92%). This finding indicates that there is considerable support for the issue of military service among TikTok users. The research process includes data collection, data processing, sentiment analysis using a lexicon-based approach, and visualization of results. The results of this study are expected to provide a clearer picture of public perception of the issue of military conscription in Indonesia. 
Prediksi Gangguan Kesehatan Mental pada Kalangan Mahasiswa Menggunakan Metode Pseudo-Labeling dan Algoritma Regresi Logistik Sari, Anggraini Puspita; Prasetya, Dwi Arman; Aditiawan, Firza Prima; Al Haromainy, Muhammad Muharrom
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 2(SEMNASTIK) (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akunt
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No2(SEMNASTIK).pp40-48

Abstract

Mental illness is a health condition that alters a person's thoughts, feelings, or behaviors, leading to distress and difficulty in maintaining a normal life. Mental health issues should not be taken lightly due to the challenges associated with diagnosis. Many students tend to experience mental health problems at various stages of their education, from diploma programs to doctoral studies. This situation becomes more critical as students approach the end of their studies and anticipate future prospects. This article explores the mental health status of students through symptoms, using logistic regression methods for prediction based on the dataset used. In this study, two types of data are employed: labeled dataset and unlabeled dataset, which are combined to create a semi-supervised learning approach. Labeled dataset is classified using a logistic regression algorithm, while unlabeled dataset employs the pseudo-labeling method. The analysis and modeling of the dataset indicate that the comparison between labeled and unlabeled dataset can significantly affect accuracy and processing time. Furthermore, the use of the pseudo-labeling method with the logistic regression algorithm is well-suited for the mental health case study, achieving an accuracy of 98% with a labeled to unlabeled dataset ratio of 1:2.
Penerapan Metode Support Vector Machine untuk Pengenalan Pola Aksara Batak Toba Panjaitan, Efdi Sarjono; Rumapea, Humuntal; Jaya, Indra Kelana
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 2(SEMNASTIK) (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akunt
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No2(SEMNASTIK).pp49-55

Abstract

The usage of the Batak Toba script has declined, and its complex forms pose challenges in pattern recognition. This study employs the Support Vector Machine (SVM) method to classify Batak Toba script patterns, utilizing a Histogram of Oriented Gradients (HOG) as a feature extraction technique. The data used comes from various sources, totaling 285 script images. After preprocessing, SVM was applied to separate characters into two main classes, which were further subdivided into subclasses until final classification was achieved. The results show that the combination of HOG and SVM can classify Batak Toba script characters with an accuracy of 89,47%. This research makes a significant contribution to the preservation of the Batak Toba script and has broader potential applications in pattern recognition and image classification.
Analisis Data Judi Online di 5 Provinsi Indonesia Dengan Metode K-Means dan Decision Tree Saputra, Muhammad Bayu; Anisa, Nor
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 2 (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No2.pp254-258

Abstract

This study aims to analyze online gambling data detected in five provinces in Indonesia using the K-Means and Decision Tree methods. The data includes player counts, transaction values, and geographical distribution in West Java, Jakarta, Central Java, Banten, and East Java. The K-Means method was applied to cluster provinces based on player counts and transaction values, while the Decision Tree was used to identify classification rules. The results reveal three main clusters with distinct characteristics: provinces with high player counts and high transactions, provinces with low player counts and moderate transactions, and provinces with moderate player counts but low transactions. These findings provide critical insights into the patterns of online gambling activities in Indonesia and serve as a foundation for more effective policies in managing its impacts.
Analisa Model Clustering Untuk Pemetaan Kualitas Lulusan Mahasiswa Berdasarkan Dataset Tracer Study Yusda, Riki Andri; Risnawati, Risnawati; Santoso, Santoso; Siregar, Putri Zakiyah Maharani; Nurani, Widiya Putri
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 2(SEMNASTIK) (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akunt
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No2(SEMNASTIK).pp18-23

Abstract

Graduate data from the tracer study process is critical in assessing the quality of a university's graduates. From this data, universities can see an objective picture to measure and evaluate the curriculum, materials, and the achievement of learning competencies so far whether they are following what is expected by graduate users. This will provide input to university management in making strategies and policies to improve quality. However, the problem is that the amount of data available so far has not been maximized properly to assist management in making decisions. Data on graduates and users of existing graduates are only processed into semester and annual reports and there is no in-depth analysis. So management does not get information that helps improve graduates' quality in the future. Optimization of clustering methods using the elbow method with a comparison of other distance formulas such as Euclidean Distance, Mahalanobis Distance, and Manhattan City Distance to improve the performance of mapping results. The DBI result obtained is 1.89 for the number of 6 clusters.
Penerapan Network Monitoring di Dinas Komunikasi dan Informatika Kabupaten Asahan Saputra, Herman; Sahren, Sahren; Rahayu, Elly; Syah Putra, Aidil
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 2(SEMNASTIK) (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akunt
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No2(SEMNASTIK).pp78-83

Abstract

The implementation of network monitoring at the Asahan Regency Information and Communication Service using LibreNMS aims to increase network management efficiency and minimize downtime.  LibreNMS, as an open-source network monitoring platform, enables early detection of problems in network devices such as routers, switches, and servers.  During this deployment, various metrics such as bandwidth usage, device health, and network performance are monitored in Real-Time.  This system also supports automatic telegram notifications if a disruption occurs, thereby speeding up the processing process. With this comprehensive monitoring, agencies can optimize network infrastructure, reduce the risk of service disruptions, and improve the quality of public services. The results of this deployment show increased network stability and operational efficiency at the Asahan Regency Information and Communication Service.

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