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Hapnes Toba
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jutisi@it.maranatha.edu
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Fakultas Teknologi Informasi, Universitas Kristen Maranatha Sukawarna, Sukajadi, Bandung City, West Java 40164 Telepon: (022) 2012186
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Kota bandung,
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INDONESIA
jurnal teknik informatika dan sistem informasi
Published by Universitas Kristen Maranatha
ISSN : -     EISSN : 24432229     DOI : https://journal.maranatha.edu/
Core Subject : Science,
Computer Science & IT
Jurnal Teknik Informatika dan Sistem Informasi (JuTISI) menerima topik-topik sebagai berikut, namun tidak terbatas pada : Artificial Intelligence • Business Intelligence • Cloud & Grid Computing • Computer Networking & Security • Datawarehouse & Datamining • Decision Support System • E-System • Enterprise System (SCM, ERP, CRM) • Human Computer & Interaction • Image Processing • Information Retrieval • Information System • Information System Audit • Enterprise Architecture • Knowledge Management • Mobile Computing & Application • Multimedia System • Open Source System & Technology • Semantic Web & Web 2.0 • Internet of Things
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 13 Documents
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Search results for , issue "Vol 9 No 2 (2023): JuTISI" : 13 Documents clear
Klasifikasi Kematangan Buah Tin Menggunakan Convolutional Neural Network Berbasis Android Maulana Aditya Yusman; Evanita Evanita; Aditya Akbar Riadi
Jurnal Teknik Informatika dan Sistem Informasi Vol 9 No 2 (2023): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v9i2.5701

Abstract

Fig is a fruit that comes from the Middle East. However, there are several figs that can be found in Indonesia, such as Green Jordan Fig. A lot of people like this fruit because of its sweet taste and has many benefits to be used as medicine. The classification of fig ripeness generally uses subjective human eye so that it can cause errors due to the insignificant characteristics of fig ripeness when ripe and inripe, when ripe it is light green, slightly yellowish, while when inripe the fruit is green. Therefore, the author got the idea to make an application for classification of fig ripeness via image based on Android using the Convolutional Neural Network algorithm. In this study, the results obtained accuracy of 94%.
Perbandingan User Experience Aplikasi Tiket.com dan Pegipegi Menggunakan Metode User Experience Questionnaire Rizki Ade Ningsih; Ken Ditha Tania
Jurnal Teknik Informatika dan Sistem Informasi Vol 9 No 2 (2023): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v9i2.6079

Abstract

Advances in information technology make many human activities easier and faster. One form of information technology advancement that exists is the existence of a mobile application that can help users and management companies carry out various business processes online. Over time, people began to use applications to meet their daily needs, including the need to travel, such as booking travel tickets and hotels. One of the existing travel and hotel applications is Tiket.com and Pegipegi. Both of these applications offer the same services, making the competition even tougher. This research was conducted to compare user experiences from Tiket.com and PegiPegi using the User Experience Questionnaire (UEQ) method by measuring the attractiveness, perspicuity, efficiency, dependability, stimulation, and novelty scales. The results showed that all UX scales from Tiket.com received positive evaluations. Whereas in Pegipegi, the attractiveness, perspicuity, efficiency, dependability, and stimulation scales received positive evaluations, but the novelty scale received neutral evaluations. From the results of the user experience comparison between Tiket.com and Pegipegi, Tiket.com gets a slightly higher user experience value than Pegipegi on all UEQ scales, but there is no significant difference for all scales.
Perancangan Arsitektur Sistem Distribusi Pupuk Bersubsidi dengan Teknologi Blockchain Eko Purwanto Aribowo; Andi Wahju Rahardjo Emanuel
Jurnal Teknik Informatika dan Sistem Informasi Vol 9 No 2 (2023): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v9i2.6098

Abstract

Digitalizing subsidized fertilizers distribution control is one of the government's efforts to increase program effectiveness. Information technology on Kartu Tani can record various transaction records, such as the remaining subsidized fertilizer quota for each farmer and purchase records. However, using Kartu Tani is still not optimal because some problems apply to this technology. The problems that often occur are data recording errors, using cards that do not fit their purpose and other distribution problems. This research aimed at reducing system weaknesses in the farmer card program has been carried out before, but the application of Blockchain technology in the distribution of subsidized fertilizers has not been widely discussed. This research will propose using Blockchain with the Hyperledger Fabric Framework to design a subsidized fertilizer distribution information system. Blockchain technology was chosen because it has suitable properties to overcome problems, including decentralization and immutability. These characteristics can be developed to build a transparent and integrity information system. The output of this study is an architectural design of subsidized fertilizer distribution that farmers easily accept.
Basis Pengetahuan Web Semantik pada Pemodelan Sistem Pendukung Rekomendasi Jurusan Kuliah Iwan Santosa; Panji Yudasetya Wiwaha; Bernard Renaldy Suteja
Jurnal Teknik Informatika dan Sistem Informasi Vol 9 No 2 (2023): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v9i2.6106

Abstract

Prospective students have wider choice of opportunities as opposed to many choices of study majors offered by higher education institution. On the other hand, it can also cause difficulties for students to make the right choice. How a student make decision regarding his or her choice of study major is influenced by several factors, including student interest, majors chosen at the previous school level, students’ aspirations, as well as entry requirements at a particular university. This research aims to design a model of an information system that can make it easier for a student to obtain information about the most appropriate study program, among the many study programs offered by the university. The information generated by this system can be used as a reference to support recommendations for prospective students in deciding which study program they will choose appropriately. The system is designed by utilizing semantic web technology, by building an ontology based on several knowledge-bases to represent new knowledge. The ontology model designed in OWL format succeeded in connecting several knowledge-bases into comprehensive and contextual knowledge as a source of information that can be used by a prospective student to choose a study program based on these recommendations. Protege is used for ontology modeling, while implementation on the web server is done using Apache Jena platform.
Pemilihan Tempat Kost Menggunakan Metode Multi Attribute Utility Theory Dan Algoritma A* Yesy Afrillia; Wahyu Fuadi; Ayu Indah Lestari
Jurnal Teknik Informatika dan Sistem Informasi Vol 9 No 2 (2023): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v9i2.6279

Abstract

Overseas students usually have difficulty finding boarding houses around Malikussaleh University. To get information on boarding houses, they have to search manually, so the time needed to find a boarding house can be very long. The purpose of this research is to produce a Geographic Information System that can make it easier for students to find information about the location of boarding houses, provide recommendations in selecting boarding houses, and find the shortest distance for each boarding house to campus. By using the MAUT method combined with an algorithm A* can provide recommendations in selecting boarding houses and provide the shortest distance from the location of each boarding house to the Campus. The results of this study resulted in recommendations for boarding houses based on the results of ranking using the MAUT method. The boarding houses with the top three rankings are 4G Boarding House, Ceiza Boarding House, and Hj Boarding House. Madriah. With distance of 0.75 km, 2.01 km and 1.38 km. With an algorithmA* to find the closest route it can be concluded that the MAUT method and algorithm A* is a combination that can be used in evaluating boarding houses and solutions in searching for the shortest distance.
Deteksi Dini Serangan Hama Penyakit pada Cabai Rawit Menggunakan Metode Image Recognition Suci Fitri Nazila; Yudha Arman; Dwiria Wahyuni; Nurhasanah Nurhasanah; Yoga Satria Putra
Jurnal Teknik Informatika dan Sistem Informasi Vol 9 No 2 (2023): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v9i2.6342

Abstract

The chili plant is one of the high economic value vegetable commodities which has the potential to continue to grow. On the other hand, this plant’s production still has obstacles such as pests and disease. Identifying the pest and diseases earlier is needed to protect against these problems. In this work, image recognition technology is applied to recognize the pest and diseases of the chili plant. First, the image of healty leaves and infected leaves by P. Latus, B. Tabaci, Gemini virus, and Cercospora sp are collected. The next step is image prepocessing, including cropping and resizing to make uniform image format and background removal to reduce background effects in image processing. Red-Green-Blue (RGB) input images are changed to grayscale images to give input one color channel. The images are extracted to get features using Gray Level Co-occurrence Matrix (GLCM) method. Extracted texture features involve contrast, correlation, energy, homogeneity, and dissimilarity with average angle values are 0°, 45°, 90° and 135°. Furthermore, all obtained features are classified into five classes using K-Means Clustering Algorithm. Extraction and segmentation results are used as parameters in the classification process using a Support Vector Machine (SVM). In this work, the result of this process is 82%.
Multi Objective Optimization on the Basic of Ratio Analysis untuk Pemilihan Pestisida Sukamto Sukamto; Randi Andria Nugrah
Jurnal Teknik Informatika dan Sistem Informasi Vol 9 No 2 (2023): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v9i2.6355

Abstract

The use of pesticides in agriculture plays a role in preventing and reducing diseases in chili plants. Pesticides for chili plants are quite widely spread on the market and have the advantages of each product offered to farmers, so farmers must be more careful and understanding in choosing pesticides to be used in preventing chili plant diseases. For that we need a decision support system (SPK). The data used in this research are 10 types of pesticides as an alternative. While the criteria are determined based on the agriculture and food service, namely price, classification, number of diseases eradicated, method of action, shelf life, and formulation concentration. Data analysis uses the MOORA method to support decision making for farmers in providing an assessment of the best pesticides on chili plants. The research results obtained for the three best pesticides are Tridex 80 WP, Lamzeb 85 WP, and Ziflo 76 WG.
Penggunaan Framework Cobit 2019 dalam Evaluasi Tata Kelola Teknologi Informasi Senna Kristiawan Gouwnalan; Andeka Rocky Tanaamah
Jurnal Teknik Informatika dan Sistem Informasi Vol 9 No 2 (2023): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v9i2.6373

Abstract

Kospin Jasa is a savings and loan cooperative founded in the 1970s by several small entrepreneurs. It is established to overcome difficulties in obtaining capital loans because businesses are still managed traditionally. Therefore, on December 13, 1973, Mr. HA Djuanaid (Alm), a national cooperative leader, met and agreed to establish a savings and loan cooperative. With the rapid development of information technology, companies/organizations have the opportunity to increase productivity. The application of information technology supports increased competitiveness with competitors. Management of information technology should then be audited. Typically, the necessary controls are provided by COBIT. This article is here to discuss information technology management which impacts cost overruns. This paper collects data through library research using qualitative methods. The results obtained are in the form of an IT governance design plan and are taken from COBIT 2019
Prediksi Gender Berdasarkan Nama Bahasa Indonesia Menggunakan Long Short Term Memory Arya Mulya Kusuma; Harisatul Aulia; Muhammad Alfaris Oktavian; Muhammad Rizky Akbar; Putri Patricia; Abdiansah Abdiansah
Jurnal Teknik Informatika dan Sistem Informasi Vol 9 No 2 (2023): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v9i2.6404

Abstract

Gender prediction is a form of prediction programme that outputs a gender type. In the research conducted in this case study, we used input in the form of text names of Indonesian people. Nowadays, there are many names of people that sometimes sound quite ambiguous and make us confused whether this person is MEN or WOMEN. From this case study we are looking for ways to use the Long short term memory method to predict and classify the names of Indonesian people to find out their gender based only on the name with the aim of improving science and looking for new innovations to support future research. The research limitations are the names used are Indonesian names because the dataset used is a dataset of Indonesian names and also the gender we classify is only 2 types of gender, namely MEN and WOMEN. The accuracy comparison of the training results of the baseline programme and the modified programme is the accuracy for the baseline programme of around 0.93, while the accuracy for the modified programme is around 0.90. The results showed an increase in accuracy after experimenting with testing data on the modified programme, which was 0.96.
Analisis Komparatif Pengukuran Kemiripan Artikel Ilmiah menggunakan Jaccard dan Levenshtein serta Blocking Muhammad Rizqi Nur; Gandhi Surya Buana; Nur Aini Rakhmawati
Jurnal Teknik Informatika dan Sistem Informasi Vol 9 No 2 (2023): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v9i2.6414

Abstract

Paper search engines have made it easier for academics to conduct literature reviews. However, easy doesn't mean accurate. For certain niche topics, search results often aren’t quite good. Snowballing can be done to overcome this, but it is limited to the initial articles owned, especially the author's access when the article was written. As an alternative, paper databases provide recommendations for relevant articles of an article, but it’s limited to that database. A tool to search for similar articles without relying on a specific database would be very helpful, but before that, the appropriate method for measuring article similarity needs to be determined. This research aims to measure article similarity based on title, author, and keywords using Weighted Jaccard Measure and Levenshtein distance and evaluate it. This study also compares performance by adding blocking with overlap blocking and stop word removal. The Jaccard evaluation results are quite poor, but the Levenshtein + Jaccard evaluation results are decent. In addition, it was found that emphasizing weighting on the title produces the best results. Overlap blocking and stop words removal increases processing time instead. Overlap blocking can reduce the number of measurements by almost half with an overlap of 1, but overlaps above 1 will discard many pairs that should be similar. Removing stop words improves Jaccard and Levenshtein performance but requires threshold adjustment.

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