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Register: Jurnal Ilmiah Teknologi Sistem Informasi
Published by Universitas Pesantren Tinggi Darul ulum
ISSN : 25030477     EISSN : 25023357     DOI : https://doi.org/10.26594/register
Core Subject : Science,
Computer Science & IT
Register: Scientific Journals of Information System Technology is an international, peer-reviewed journal that publishes the latest research results in Information and Communication Technology (ICT). The journal covers a wide range of topics, including Enterprise Systems, Information Systems Management, Data Acquisition and Information Dissemination, Data Engineering and Business Intelligence, and IT Infrastructure and Security. The journal has been indexed on Scopus (reputated international indexed) and accredited with grade “SINTA 1” by the Director Decree (1438/E5/DT.05.00/2024) as a recognition of its excellent quality in management and publication for international indexed journal.
Arjuna Subject : -
Articles 219 Documents
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COMBINATION OF FAST HYBRID CLASSIFICATION AND K VALUE OPTIMIZATION IN K-NN FOR VIDEO FACE RECOGNITION Suciati, Nanik; Septiana, Nuning
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 6, No 1 (2020): January-June
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v6i1.1668

Abstract

Nowadays, the need for face recognition is no longer include images only but also videos. However, there are some challenges associated with the addition of this new technique such as how to determine the right pre-processing, feature extraction, and classification methods to obtain excellent performance. Although nowadays the k-Nearest Neighbor (k-NN) is widely used, high computational costs due to numerous features of the dataset and large amount of training data makes adequate processing difficult. Several studies have been conducted to improve the performance of k-NN using the FHC (Fast Hybrid Classification) method by optimizing the local k values. One of the disadvantages of the FHC Method is that the k value used is still in the default form. Therefore, this research proposes the use of k-NN value optimization methods in FHC, thereby, increasing its accuracy. The Fast Hybrid Classification which combines the k-means clustering with k-NN, groups the training data into several prototypes called TLDS (Two Level Data Structure). Furthermore, two classification levels are applied to label test data, with the first used to determine the n number of prototypes with the same class in the test data. The second classification using the optimized k value in the k-NN method, is employed to sharpen the accuracy, when the same number of prototypes does not reach n. The evaluation results show that this method provides 86% accuracy and time performance of 3.3 seconds.
Segmentasi pembuluh darah pada citra retina dengan menggunakan Multi-Scale Line Detector (MSLD) dan Adaptive Morphology Whardana, Adithya Kusuma; Sutaji, Deni
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 3, No 1 (2017): January
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v3i1.716

Abstract

 Pembuluh darah pada retina merupakan bagian retina yang berfungsi memberikan suplai darah dan oksigen ke dalam retina. Sehingga apabila pembuluh darah tidak tersuplai oksigen, maka dapat ditarik kesimpulan bahwa pembuluh darah retina tersebut bermasalah, banyaknya noise pada daerah pembuluh darah menyebabkan proses dalam segmentasi. Karena permasalahan yang timbul, maka dalam penelitian ini diusulkan metode segmentasi pembuluh darah dengan menggabungkan dua metode, yaitu metode Multi-Scale Line Detector (MSLD) dan Adaptive Morphology. Dari keseluruhan metode memiliki fungsi yang berbeda-beda, MSLD berfungsi dalam proses pemisahan garis yang dibentuk oleh pembuluh darah yang dalam hal ini melalui proses perubahan citra orisinal ke citra green channel, namun dalam proses sebenarnya metode MSLD kurang dalam proses segmentasi, karena timbulnya masalah disaat terjadi garis yang menyilang antara optic disc dan pembuluh darah, sehingga pada saat segmentasi garis yang menyilang tersebut tidak akan ikut disegmentasi, sehingga membutuhkan metode penambahan pada proses segmentasinya, untuk itu diperlukan metode Adaptive Morphology, sehingga saat proses segmentasi sebelumnya yang telah dilakukan dengan menggunakan MSLD bisa disempurnakan dengan menggunakan metode Adaptive Morphology. Penggabungan metode sangat efektif karena bisa menghilangkan area optic disc yang membentuk garis menyilang dengan pembuluh darah secara sempurna dengan tanpa menghilangkan area pembuluh darah, sehingga dalam proses segmentasi dapat menghasilkan tingkat akurasi 97,94%.   The blood vessels of the retina are part of the retina that serves to supply blood and oxygen to the retina. So if the blood vessels are not supplied oxygen, it can be concluded that the retinal blood vessels are problematic, the amount of noise in the blood vessel causes the process in segments.Karena problems arise, then in this study proposed method of blood vessel segmentation by combining two methods, namely Methods of Multi-Scale Line Detector (MSLD) and adaptive morphology. From the whole method has different functions, MSLD function in the process of separation of lines formed by blood vessels in this case through the process of changing the original image to the green channel image, but in the actual process of MSLD method is less In the process of segmentation, due to the emergence of the problem when there is a crossing line between the optic disc and blood vessels, so that when the segmentation of the crossed line will not participate in segmentation, thus requiring additional method in the process of segmentation, for that required adaptive morphology method, Previous segmentation that has been done by using MSLD can be enhanced by using adaptive morphology method. Combination method is very effective because it can eliminate the optic disc area that forms a line crossed with blood vessels perfectly without removing the blood vessel area, so in the process of segmentation can produce an accuracy of 97.94%. 
Color space and color channel selection on image segmentation of food images Maulana, Luthfi; Bihanda, Yusuf Gladiensyah; Sari, Yuita Arum
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 6, No 2 (2020): July
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v6i2.2061

Abstract

Image segmentation is a predefined process of image processing to determine a specific object. One of the problems in food recognition and food estimation is the lack of quality of the result of image segmentation. This paper presents a comparative study of different color space and color channel selection in image segmentation of food images. Based on previous research regarding image segmentation used in food leftover estimation, this paper proposed a different approach to selecting color space and color channel based on the score of Intersection Over Union (IOU) and Dice from the whole dataset. The color transformation is required, and five color spaces were used: CIELAB, HSV, YUV, YCbCr, and HLS. The result shows that A in LAB and H in HLS are better to produce segmentation than other color channels, with the Dice score of both is 5 (the highest score). It concludes that this color channel selection is applicable to be embedded in the Automatic Food Leftover Estimation (AFLE) algorithm.
Implementasi authentication Captive Portal pada Wireless Local Area Network PT. Rikku Mitra Sriwijaya Novrianda, Rahmat
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 4, No 2 (2018): July
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v4i2.1245

Abstract

PT. Rikku Mitra Sriwijaya merupakan salah satu perusahaan yang menyalurkan tenaga cleaning service. Perusahaan ini telah memiliki Wireless Local Area Network (WLAN) yang digunakan sebagai media pertukaran data serta informasi dengan memanfaatkan media transmisi wireless, WLAN PT. Rikku Mitra Sriwijaya saat ini menggunakan WPA2-PSK sebagai sistem keamanan untuk otentikasi pengguna agar dapat mengakses internet. Akan tetapi, penggunaan WPA2-PSK sebagai keamanan WLAN masih memiliki kelemahan dikarenakan penggunaan 1 password yang sama untuk banyak user agar dapat terhubung dengan hotspot WLAN PT. Rikku Mitra Sriwijaya akan menjadi peluang terjadinya cyber crime. Hal ini terjadi karena akan sangat mudah user yang tidak bertanggung jawab untuk masuk ke dalam WLAN PT. Rikku Mitra Sriwijaya. Dari informasi yang diperoleh, pada tahun 2017 PT. Rikku Mitra Sriwijaya mengalami kehilangan serta perusakan data dan informasi yang dimilikinya. Oleh karena itu, pada penelitian ini akan diterapkan authentication Captive Portal sebagai usaha peningkatan keamanan WLAN PT. Rikku Mitra Sriwijaya menggantikan WPA2-PSK. Proses penelitian ini menggunakan metode Network Development Life Cycle (NDLC), metode ini berorientasi pada network yang memiliki 6 tahapan dengan siklus yang tidak memiliki awal dan akhir. Keseluruhan konfigurasi yang dibutuhkan dalam membangun authentication Captive Portal memanfaatkan program Winbox. Penelitian yang telah dilakukan ini menghasilkan suatu pembatasan otentikasi user khusus bagi user yang telah terdaftar pada WLAN PT. Rikku Mitra Sriwijaya yang diizinkan mengakses internet perusahaan ini. Selain itu, program Winbox juga dapat digunakan untuk monitoring seluruh user yang terhubung ke WLAN PT. Rikku Mitra Sriwijaya, baik user yang sedang aktif maupun yang tidak aktif.    PT. Rikku Mitra Sriwijaya is one of the companies that supply cleaning service personnel. This company already has Wireless Local Area Network (WLAN) which is used as a medium for exchanging data and information by utilizing wireless transmission media, LAN PT. Rikku Mitra Sriwijaya currently uses WPA2-PSK as a security system for authenticate users to be able to access the internet. However, the use of WPA2-PSK as WLAN security still has weaknesses due to the use of the a same password for many users can be connected to the PT. Rikku Mitra Sriwijaya WLAN hotspot will be a chance of occurrence the cyber crime. This happens because it will be very easy for users who are not responsible for enter to WLAN PT. Rikku Mitra Sriwijaya. From the information obtained, in 2017 PT. Rikku Mitra Sriwijaya has lost and damaged their data and information. Therefore, captive portal authentication will be applied in this research as an effort to increase PT. Rikku Mitra Sriwijaya WLAN security that replace WPA2-PSK. This research process uses the Network Development Life Cycle (NDLC) method, this method is network oriented which has 6 stages with a cycle that has no beginning and ending. The entire configuration needed to build an captive portal authentication utilizes the Winbox program. This research has been carried out resulted limitation for users authentication specifically for users who have registered on PT. Rikku Mitra Sriwijaya WLAN is allowed to access the internet of this company. Furthermore, Winbox program also can be used for monitoring all connected users to PT. Rikku Mitra Sriwijaya WLAN both active and inactive users.
Electronic document authenticity verification of diploma and transcript using smart contract on Ethereum blockchain Chaniago, Nero; Sukarno, Parman; Wardana, Aulia Arif
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 7, No 2 (2021): July
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v7i2.1959

Abstract

Ethereum is one of the oldest examples of blockchain technology provides a system that converts centralized storage to distributed and records transactions by way of decentralized and not by a centralized system and can be verified by each node, therefore it is suitable for storing fingerprints from official diploma documents and transcripts that are published. Smart contract is needed for making contract transactions to Ethereum with programming code, so contracts such as diplomas and transcripts uploaded on the Ethereum blockchain can distribute and produce diploma validation and the authenticity of transcripts with transaction hash, consensus, and comply with ERC-721 token standardization. The results showed that a sample of 5 electronic documents in pdf format with a transaction speed of 1 second on each file that were published and secured with Ethereum blockchain technology can be easily verified for authenticity, the system proposed and developed by us takes in consideration invalid and failure cases by giving the necessary feedback to the user.
Prediksi Kelulusan Mata Kuliah Menggunakan Hybrid Fuzzy Inference System Izzah, Abidatul; Widyastuti, Ratna
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 2, No 2 (2016): July
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v2i2.548

Abstract

 Perguruan Tinggi merupakan salah satu institusi yang menyimpan data yang sangat informatif jika diolah secara baik. Prediksi kelulusan mahasiswa merupakan kasus di Perguruan Tinggi yang cukup banyak diteliti. Dengan mengetahui prediksi status kelulusan mahasiswa di tengah semester, dosen dapat mengantisipasi atau memberi perhatian khusus pada siswa yang diprediksi tidak lulus. Metode yang digunakan sangat bervariatif termasuk metode Fuzzy Inference System (FIS). Namun dalam implementasinya, proses pembangkitan rule fuzzy sering dilakukan secara random atau berdasarkan pemahaman pakar sehingga tidak merepresentasikan sebaran data. Oleh karena itu, dalam penelitian ini digunakan teknik Decision Tree (DT) untuk membangkitkan rule. Dari uraian tersebut, penelitian bertujuan untuk memprediksi kelulusan mata kuliah menggunakan hybrid FIS dan DT. Data yang digunakan dalam penelitian ini adalah data nilai Posttest, Tugas, Kuis, dan UTS dari 106 mahasiswa Politeknik Kediri pengikut mata kuliah Algoritma dan Struktur Data. Penelitian ini diawali dari membangkitkan 5 rule yang selanjutnya digunakan dalam inferensi. Tahap selanjutnya adalah implementasi FIS dengan tahapan fuzzifikasi, inferensi, dan defuzzifikasi. Hasil yang diperoleh adalah akurasi, sensitivitas, dan spesifisitas  masing-masing adalah 94.33%, 96.55%, dan 84.21%.   College is an institution that holds very informative data if it mined properly. Prediction about student’s graduation is a common case that many discussed. Having the predictions of student’s graduation in the middle semester, lecturer will anticipate or give some special attention to students who would be not passed. The method used to prediction is very varied including Fuzzy Inference System (FIS). However, fuzzy rule process is often generated randomly or based on knowledge experts that not represent the data distribution. Therefore, in this study, we used a Decision Tree (DT) technique for generate the rules. So, the research aims to predict courses graduation using hybrid FIS and DT. Dataset used is the posttest score, tasks score, quizzes score, and middle test score from 106 students of the Polytechnic Kediri who took Algorithms and Data Structures. The research started by generating 5 rules by decision tree. The next is implementation of FIS that consist of fuzzification, inference, and defuzzification. The results show that the classifier give a good result in an accuracy, sensitivity, and specificity respectively was 94.33%, 96.55% and 84.21%.
Clickbait detection: A literature review of the methods used Zuhroh, Nurrida Aini; Rakhmawati, Nur Aini
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 6, No 1 (2020): January
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v6i1.1561

Abstract

Online news portals are currently one of the fastest sources of information used by people. Its impact is due to the credibility of the news produced by actors from the media industry, which is sometimes questioned. However, one of the problems associated with this medium used to obtain information is clickbait. This technique aims to attract users to click hyperbolic headlines with content that often disappoints the reader. This study was, therefore, conducted to determine: 1) existing dataset available. 2) The method used in clickbait detection which consists of data preprocessing, analysis of features, and classification. 3) Difference steps from the method used.
Konstruksi Forecasting System Multi-Model untuk pemodelan matematika pada peramalan Indeks Pembangunan Manusia Provinsi Nusa Tenggara Barat Sucipto, Lalu; Syaharuddin, Syaharuddin
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 4, No 2 (2018): July
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v4i2.1263

Abstract

Penelitian ini bertujuan untuk mengembangkan produk Forecasting System Multi-Model (FSM) guna menentukan metode terbaik dalam sistem peramalan (forecast) dengan mengkonstruksi beberapa metode dalam bentuk Graphical User Interface (GUI) Matlab dengan menghitung semua indikator tingkat akurasi guna menemukan model matematika terbaik dari data time series pada periode tertentu. Pada tahap simulasi, tim peneliti menggunakan data Indeks Pembangunan Manusia (IPM) Provinsi Nusa Tenggara Barat (NTB) tahun 2010-2017 guna memprediksi IPM NTB tahun 2018. Adapun metode yang diuji adalah Moving Average (SMA, WMA dan EMA), Exponential Smoothing Method (SES, Brown, Holt, dan Winter), Naive Method, Interpolation Method (Newton Gregory), dan Artificial Neural Network (Back Propagation). Kemudian model dievaluasi untuk melihat tingkat akurasi masing-masing metode berdasarkan nilai MAD, MSE, dan MAPE. Berdasarkan hasil simulasi data dari 10 metode yang diuji diketahui bahwa metode Holt paling akurat dengan hasil prediksi tahun 2018 sebesar 67,45  dengan MAD, MSE, dan MAPE berturut-turut sebesar 0,22654; 0,075955 dan 0,34829.   The purpose of this research is to develop a product was called Forecasting System Multi-Model (FSM) to determine the best method in the forecasting system by constructing several methods in the form of Graphical User Interface (GUI) Matlab. It was done by all indicator accuration to find the best mathematical model of time series data in a certain period. In the simulation phase, this research used the Human Development Index (HDI) data of West Nusa Tenggara (NTB) Province in 2010 - 2017 to predict the HDI data of NTB in 2018. The methods tested were Moving Average (SMA, WMA and EMA), Exponential Smoothing Method (SES, Brown, Holt, and Winter), Naive Method, Interpolation Method (Newton Gregory), and Artificial Neural Network (Back Propagation). Then the models/methods were evaluated to see the level of accuracy of each method based on the value of MAD, MSE, and MAPE. Based on data simulation result from 10 tested method known that Holt method is most accurate with prediction result of 2018 equal to 67,45 with MAD, MSE, and MAPE respectively equal to 0.22654, 0.075955 and 0.34829.
IT governance evaluation at the population and civil registry office in Kolaka district using COBIT 5 framework Zainuddin, Noorhasanah; Winarno, Wing Wahyu; Ningsi, Nurfitria; Pasrun, Yuwanda Purnamasari; Muliyadi, Muliyadi
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 6, No 2 (2020): July
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v6i2.1728

Abstract

The implementation of information technology is compulsory to fit organizational goals. This research aims to evaluate the quality of information technology services at the Population and Civil Registry Office at Kolaka District based on COBIT 5 Framework that focused on DSS (deliver, service and support) domain by measuring the Maturity Level using Process Assessment Model (PAM). The Population and Civil Registry Office is under the local government ‘s auspices which is essential in managing the population. The data collection method was done by distributing questionnaires and conducting interviews. This study used 8 (eight) respondents based on the RACI chart. This research was expected to reach level 3 (established process) to create IT governance that fits organizational goals and international standards. From the research result, it is known that the maturity level from the evaluation process conducted by COBIT 5 using the processes DSS-01, DSS-02, DSS-03, DSS-04, DSS-05, and DSS-06 were as follows: 2 processes were at level 1 (performed process), namely the DSS-05 and DSS-06 while the others (DSS-01, DSS-02, DSS-03, and DSS-04) were at level 2 (managed process).
Penanganan imbalance class data laboratorium kesehatan dengan Majority Weighted Minority Oversampling Technique Untoro, Meida Cahyo; Buliali, Joko Lianto
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 4, No 1 (2018): January
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v4i1.1184

Abstract

Diagnosis suatu penyakit akan menjadi tepat jika didukung dengan berbagai proses mulai pengecekan awal (amannesa) sampai pengecekan laboratorium. Hasil dari proses laboratorium mempunyai informasi berbagai penyakit, akan tetapi beberapa jenis penyakit memiliki prevalensi rendah. Penyakit bervalensi rendah memiliki pengaruh dalam penanganan pasien lebih lanjut. Dengan rasio yang tidak seimbang data laboratorium akan menyebabkan nilai akurasi menjadi rendah dalam pengklasifikasian dan penanganan penyakit. Majority Weighted Minority Oversampling Technique (MWMOTE) adalah saalah satu cara untuk menyelesaikan imbalanced. Penelitian ini bertujuan menangani permasalahan ketidakseimbangan data laboratorium kesehatan sehingga diperoleh hasil pengklasifikasian penyakit dengan tingkat akurasi lebih tinggi. Hasil pada penelitian ini menunjukkan bahwa MWMOTE dapat meningkatkan akurasi untuk permasalahan ketidakseimbangan data sebesar 3,13%.   Diagnosis of a disease will be appropriate if supported by various processes ranging from initial checks (amannesa) to laboratory checks. Results from the laboratory process have information on various diseases, but some types of diseases have a low prevalence. Low-valvature disease has an effect in the treatment of the patient further. With an unbalanced ratio the laboratory data will cause the accuracy value to be low in the classification and handling of the disease. Majority Weighted Minority Oversampling Technique (MWMOTE) is one way to complete imbalanced. This study aims to address the problem of imbalance of health laboratory data to obtain the results of the classification of disease with a higher degree of accuracy. The results of this study indicate that MWMOTE can improve accuracy for data imbalance problems by 3.13%.

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