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Jurnal Teknoif Teknik Informatika Institut Teknologi Padang
Published by Institut Teknologi Padang
ISSN : 23382724     EISSN : 25989197     DOI : 10.21063/jtif
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering
The editors of the Jurnal TeknoIf Institut Teknologi Padang (Teknoif) are pleased to present this call for papers on Information Technology. Teknoif specifically focuses on experimental study, design, planning and modeling, implementation method, and literature study. Topics include, but are not limited to: Artificial intelligence technologies Cloud computing Digital forensics Genetic algorithms and programming Grid computing Human Computer Interaction Image and speech recognition Internet of Things Mobile technology development Network architectures Network technologies Pattern recognition Sensor technologies Virtualization Wearable computing Wireless technologies ISSN : 2598-9197 (online), 2338-2724(print) Subject: Informatics Engineering Frequency: Semiannual Language: Indonesia Indexed at: Crossref, PKP Index, Citation: Google Scholar DOI :10.21063/jtif
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 254 Documents
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PENGEMBANGAN APLIKASI MOBILE FORUM DISKUSI MAHASISWA UNIVERSITAS PARAMADINA BERBASIS OBJEK Putra, Muhammad Daffa Arviano; Darwis, Muhammad; Hendrowati, Retno
Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Vol 11 No 2 (2023): TEKNOIF OKTOBER 2023
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtif.2023.V11.2.37-44

Abstract

Forum is a platform for exchanging information and ideas. In the digital era, information is highly valuable, and forums have become an appropriate means to obtain it. As a result, forums are now available in the form of applications. A forum application can provide numerous benefits to its users. In this study, a mobile forum application specifically designed for students of Paramadina University is developed. The presence of this student forum application is expected to enhance collaboration and foster discussions among students, thus enriching their learning experience at Paramadina University. The system development process of the forum application is carried out by applying object-oriented design principles, incorporating the creation of Unified Modeling Language (UML) diagrams. Consequently, the system design follows efficient and standard-compliant structures. The designed system is then implemented into a mobile application using the Dart programming language with Flutter framework. For the backend, the application is developed with Go programming language and MySQL relational database. The forum application developed in this study underwent comprehensive testing to ensure its accuracy and usability, using both blackbox and whitebox methods. The testing results indicated that the forum application functions well. Therefore, the forum application is considered suitable and can be used by students of Paramadina University to collaborate with each other.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN KETUA RT/RW BERBASIS WEB MVC MENGGUNAKAN METODE TOPSIS (Studi Kasus: RT.02/RW.09 Griya Satria Bukit Permata Purwokerto) Tirtayasa, Arta; Yeri Kristiyanto, Daniel
Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Vol 11 No 2 (2023): TEKNOIF OKTOBER 2023
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtif.2023.V11.2.54-61

Abstract

The election of the chairman of the Neighborhood Unit (RT)/(RW) is one of the democratic mechanisms carried out by the community at the RT/RW level to determine who will lead  of the community in the neighborhood where they live. Each (RT) and (RW) is led by the RT Chair and RW Chair. However, the process of selecting the head of the RT/RW Griya Satria Bukit Permata is still carried out by deliberation. A decision support system (DSS) is needed that can help the process of selecting RT/RW heads using the web-based Model-View-Controller (MVC) Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. Selection is carried out by analyzing and selecting the best candidates based on criteria namely loyalty, leadership, integrity, age and experience. The aim of this research is to create a DSS for the selection of RT/RW heads based on the TOPSIS method to assist in the selection of prospective RT/RW heads. The results of implementing can seek recommendations for candidates for RT/RW heads in an objective, directing a process for selecting RT/RW heads. Namely, with the result of Candidate A's preference value 0.896, Candidate B 0.756, C 0.477, D 0.432 and E 0.463. DSS for the selection of RT/RW heads using the TOPSIS method is suitable and can determine the results of the ranking of the five head candidates and five criteria and the implementation of DSS using the MVC TOPSIS method can work well to find out and make decisions about the RT/RW head candidates.
Penerapan Metode Association Rule Dan Algoritma Apriori Untuk Analisis Pola Frekuensi Tinggi Prediksi Curah Hujan Di Kota Tegal Gunawan; Andriani, Wresti; Hidayatullah, Fikri Zain
Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Vol 11 No 2 (2023): TEKNOIF OKTOBER 2023
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtif.2023.V11.2.45-53

Abstract

Rainfall is a very important factor in daily life, especially in agriculture and water resources management. Accurate rainfall forecasts are essential to mitigate the impact of floods, droughts, and water shortages. This study aimed to predict rainfall in Tegal City using data on rainfall, temperature, humidity, and barometric pressure. Explore association rules to define relationships between elements to predict weather. Then, the data is processed using a priori algorithms to find patterns of relationships between variables in the data. The results showed that a priori algorithms can be used to find ways of association that can be used to predict rainfall in Tegal City. Based on the research results and discussions that have been carried out, it can be concluded that the Association Rule method using a priori algorithm can be applied quite well in rainfall forecasting simulations in Tegal City. Based on the analysis, it was found that some association rules have a lift ratio value greater than 1, thus indicating that these rules have a significant level of strength and can be relied upon as a guideline in forecasting rainfall in Tegal City. This method can help predict weather conditions and provide useful information for the public and authorities to decide on outdoor activities.
IMPLEMENTASI ALGORITMA NAIVE BAYES CLASSIFIER MENGGUNAKAN FEATURE FORWARD SELECTION DALAM MEMPREDIKSI KETEPATAN MASA STUDI MAHASISWA Noliza Safitri
Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Vol 11 No 2 (2023): TEKNOIF OKTOBER 2023
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtif.2023.V11.2.62-68

Abstract

Students are one of the important pillars in the life cycle of a higher education institution. One indicator of the success of a study program can be seen from the accuracy of the student's study period. The accuracy of a student's study period refers to the time schedule that the student must achieve from entering the study program to graduating, according to the time span determined by the university. At the Diploma Three (D-III) level, it is said to graduate on time if you have completed the equivalent of three academic years of study and not graduate on time if you have completed more than three academic years. Study. This research aims to influence the quality of study programs, so that it is used as an assessment criterion for accreditation by (BAN-PT). The results of this research are presented in accordance with the research conducted. The data used in this research is academic data for students of the Informatics Management Study Program (D-III) Class 2020 – 2022. The categories used are gender, major, IPS 1 to IPS 4, credits, and GPA. The test results using 129 training data and 40 test data obtained an accuracy of 97.50% using the Naive Bayes method with forward selection. There were 12 students who made late predictions and 28 students made correct predictions. So it can be stated that the Naive Bayes process model is suitable for use in determining good decision results in terms of prediction and classification.
IMPLEMENTASI METODE TREND MOMENT UNTUK PREDIKSI PENJUALAN (STUDI KASUS DI TOKO ZACOZI PANCING KABUPATEN SOLOK) Fauziyyah, Atika
Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Vol 12 No 1 (2024): TEKNOIF APRIL 2024
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtif.2024.V12.1.10-17

Abstract

Zacozi Fishing Shop is a shop that sells various kinds of fishing equipment, from small to large. Through direct research at the Zacozi Pancing Shop, the problem was found that from year to year sales of fishing equipment at this shop experienced an erratic increase and decrease in sales every month. This happens because many goods are not sold out and there are many goods that consumers need but the stock of goods requested by consumers is insufficient. This is also because the shop does not have a system that can predict sales, so many products are not available for a long time. Therefore, it is necessary to have a sales prediction information system using the Trend Moment method to be able to predict sales of goods in the following month. The data used is fishing rod sales data from June 2022 to June 2023. With a sales prediction system using the Trend Moment method which can produce sales predictions for goods at the Zacozi Pancing Shop with an average success rate of 90%, it can help the shop in picking Actions that should be taken, especially in controlling product availability using the Trend Moment method so that stock shortages and excesses can be avoided.
IMPLEMENTASI SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN ALAT KONTRASEPSI DENGAN METODE AHP DAN TOPSIS (STUDI KASUS DI PUSKESMAS GUNUNG LABU) Refina Afindania, Pipin; Defit, Sarjon; Sumijan
Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Vol 12 No 1 (2024): TEKNOIF APRIL 2024
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtif.2024.V12.1.1-9

Abstract

The problem that is often faced is that many mothers of couples of childbearing age do not understand how to choose a contraceptive method that is suitable for use. To address this problem among couples of reproductive age in choosing the most appropriate contraceptive method, the Analytical Hierarchy Process  (AHP)-Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method is proposed to be utilized. It is expected to be beneficial in aiding the selection of a suitable contraceptive method for users. The objective of this research is to implement the AHP-TOPSIS method in a decision support system for choosing contraceptive methods for couples of reproductive age at the Gunung Labu Community Health Center. The results of the analysis using the AHP-TOPSIS method indicate that the appropriate contraceptive methods for couples of reproductive age are Implan, IUD, Birth Control Injection, and Birth Control Pills. The combination of AHP-TOPSIS in contraceptive method selection yields the conclusion that the Decision Support System (DSS) built in this research is expected to facilitate midwives in recommending contraceptive methods for couples of reproductive age. AHP method is employed to calculate the weights of each contraceptive method criterion. The results of the priority weight calculations for all criteria used in this study yielded a Consistency Index (CI) of 0.07. The analysis using the AHP-TOPSIS method resulted in Implan, IUD, Birth Control Injection, and Birth Control Pills being identified as the appropriate contraceptive methods for couples of reproductive age.
A, Analisis Pengaruh Probabilitas Crossover Terhadap Kinerja Algoritma Genetika Dalam Optimasi Penjadwalan Matakuliah Salman, Rudi; Suprapto; Irfandi
Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Vol 11 No 2 (2023): TEKNOIF OKTOBER 2023
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtif.2023.V11.2.69-74

Abstract

Genetic Algorithm speed is determined by computation time. Computing time in AG for finding the optimum value is strongly influenced by the following parameters: population size, crossover probability (Pc), mutation probability (Pm), and the selected selection method. Pc is one of the essential parameters in AG. A chromosome that will reach the best solution can be obtained from the crossover process of the two parent chromosomes. The Pc value strongly influences the crossover process. Determining the appropriate and correct Pc value indicates how large the parent chromosome will experience crossover.The method used to analyze the effect of Pc on AG performance is changing the Pc value between 0.80-0.95. The simulation used MATLAB R2012b to obtain the best computational time for each Pc value. Meanwhile, the other AG parameters remained the same: Pm=0.05 and population size=100 for each change of Pc value.The test results using MATLABR2012b show that the fastest computing time is in the range of Pc values between 0.85-0.95 with an average computation time of 0.14564s. This indicates that for the case of optimizing the scheduling of courses in the Unimed Electrical Engineering study program, the Pc value between 0.85-0.95 will provide the fastest computation time.
PENERAPAN SISTEM PENDUKUNG KEPUTUSAN DALAM MENENTUKAN PRIORITAS LOKASI PEMASARAN PADA PT. ASKRINDO CABANG MEDAN MENGGUNAKAN METODE AHP DAN PROMETHEE Zulfani, Fathania; Suryamen, Haris; Wahyuni, Ullya Mega
Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Vol 12 No 2 (2024): TEKNOIF OKTOBER 2024
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtif.2024.V12.2.70-76

Abstract

P.T. (Persero) Credit Insurance Indonesia is one of the state-owned enterprises (SOEs) that engage in insurance or guarantees. The existence of PT Asuransi Kredit Indonesia (Askrindo), which is one of the state-owned enterprises (SOE), has always been associated with the success of the economic development of the Nation and the Republic of Indonesia. Marketing plays a major role in the company, including PT Askrindo; However, determining strategic marketing location priorities requires careful analysis of drivers to avoid both tangible and intangible losses. The purpose of this research is to develop a decision support system (DSS) using a combination of the analytical hierarchy process (AHP) and the PROMETHEE method, which can be considered in the selection of priority marketing positions based on predetermined standard . Using AHP and PROMETHEE methods to prioritize marketing locations with multiple location alternatives can aid decision-making activities, thereby improving a company's efficiency in making informed decisions. Having a decision support system, it can serve as a solution to help the branch of PT Askrindo in Medan to make decisions in choosing the best priority marketing positions.
Rancang Bangun Sistem Informasi Pelatihan Pada Balai Diklat Industri (BDI) Padang Berbasis Mobile Application Menggunakan API Suryamen, Haris; Wistia Rizalmi, Annisa; Wahyuni, Ullya Mega
Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Vol 12 No 1 (2024): TEKNOIF APRIL 2024
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtif.2024.V12.1.18-28

Abstract

Balai Diklat Industri (BDI) Padang  is an institution that focuses on training in the field of embroidery and fashion to develop the skills of individuals or groups. Currently, the training is operated using a web-based application through a laptop, but there are feature limitations that hinder the effectiveness of training management. The main problem related to the web application feature at this time is having too many menu features so that employees have to look for menus related to training, instructors have not been able to take attendance of participants through the web, and participants have not been able to access training activities that exist in BDI Padang. Therefore, BDI Padang wants to improve training management by developing a web application into a mobile application. In this development, API (Application Programming Interface) is used as an interface medium between systems, with the type of API used being RESTful API. RESTFul API acts as a bridge for data communication between clients and databases, with output in the form of JSON data. The programming language for Android uses Kotlin and Retrofit as a REST Client that retrieves and sends data through the RESTful API web service. System testing is done using the black box testing on all functionalities according to the initial system design. The test results show that all the functionalities designed run according to the system requirements. This research produces an Android system in the form of an application package file (APK) for the training information system at BDI Padang.
Topic Analysis Video Debat Jelang Pemilu Presiden dan Wakil Presiden Tahun 2024 Valentina, Ivana; Mu’min, Aziz; Tanrico, Devion; Karnalim, Oscar
Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Vol 12 No 1 (2024): TEKNOIF APRIL 2024
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtif.2024.V12.1.29-35

Abstract

Several debates were held among presidential and vice presidential candidates to convey their ideas for the 2024 presidential general election (PEMILU). This research analyzes the topics discussed in the debates using Latent Dirichlet Allocation (LDA), K-means Clustering, and word tagging methods for each candidate pair. The K-Means Clustering method yielded more diverse and evenly distributed topics for each candidate pair, while LDA produced fewer topics but was more effective in identifying topics for candidate A. The K- Means Clustering method yielded more diverse and evenly distributed topics for each candidate pair, while LDA produced fewer topics but was more effective in identifying topics for candidate. These are somewhat consistent with previos works. A. In dataset 1 using the LDA model, candidate pairs A have a probability of 60%, B have a probability of 25%, and C have a probability of 0%. In dataset 2 using the K-Means model, candidate pairs A have a probability of 37.04%, B have a probability of 25%, and C have a probability of 17.24%. In dataset 2 using the LDA model, candidate pairs A have a probability of 100%, B have a probability of 40%, and C have a probability of 0%. In dataset 2 using the K-Means model, candidate pairs A have a probability of 35.71%, B have a probability of 14.29%, and C have a probability of 28.57%.

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