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Jurnal Informatika: Jurnal Pengembangan IT
Published by Politeknik Harapan Bersama Tegal
ISSN : 24775126     EISSN : 25489356     DOI : https://doi.org/10.30591
Core Subject : Science,
Computer Science & IT
The scope encompasses the Informatics Engineering, Computer Engineering and information Systems., but not limited to, the following scope: 1. Information Systems Information management e-Government E-business and e-Commerce Spatial Information Systems Geographical Information Systems IT Governance and Audits IT Service Management IT Project Management Information System Development Research Methods of Information Systems Software Quality Assurance 2. Computer Engineering Intelligent Systems Network Protocol and Management Robotic Computer Security Information Security and Privacy Information Forensics Network Security Protection Systems 3. Informatics Engineering Software Engineering Soft Computing Data Mining Information Retrieval Multimedia Technology Mobile Computing Artificial Intelligence Games Programming Computer Vision Image Processing, Embedded System Augmented/ Virtual Reality Image Processing Speech Recognition
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 10 Documents
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Search results for , issue "Vol 6, No 2 (2021): JPIT, Mei 2021" : 10 Documents clear
Analisis Kualitas Aplikasi E-Exam Menggunakan Standar ISO 25010 Gugi Tyas; Detty Purnamasari; Amat Suroso
Jurnal Informatika: Jurnal Pengembangan IT Vol 6, No 2 (2021): JPIT, Mei 2021
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v6i2.499

Abstract

Examination is a process carried out to measure the achievement of student competencies on an ongoing basis in the learning process, to monitor progress, make learning improvements, and determine student learning success. In 2019, SMK Negeri 6 Bekasi City began to use the E-Exam Application for the implementation of exams, both the Mid-Semester Examination or better known as UTS, Semester Final Examination or better known as UAS and School Examination or better known as US. Approaching 2 years of use, the E-Exam Application of SMK Negeri 6 Bekasi City has not been analyzed for software. The results of the evaluation of the quality of the E-Exam software at SMK Negeri 6 Bekasi City are expected to be a reference for developing and fulfilling the wishes of every citizen of SMK Negeri 6 Bekasi City, to be able to carry out online exams well. ISO 25010 testing is a standard that is widely used to evaluate, measure and test the quality of software. The ISO used for this research is version 25010, this version is a continuation of ISO/IEC 9126 with the addition of several structures and parts of the quality model standard. In this study, we will discuss the analysis of application quality using the ISO 25010 standard.
Evaluasi Kepuasan Pengguna Website dengan Kano Model Muhammad Iqbal Mustofa
Jurnal Informatika: Jurnal Pengembangan IT Vol 6, No 2 (2021): JPIT, Mei 2021
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v6i2.2760

Abstract

Penelitian ini bertujuan untuk melakukan tahapan evaluasi yang secara rutin wajib dilaksanakan dalam setiap ekosistem hidup sistem informasi. Objek penelitian adalah website Pusat Informasi Harga Pangan Strategis (PIHPS). Penelitian ini diawali dengan tahapan wawancara dan observasi objek, penelitian kemudian dilanjutkan dengan penyusunan rancangan kuesioner menggunakan metode webqual 4.0 dengan tiga indikator yaitu usability quality (UQ), information quality (IQ), dan Service Interaction Quality (IT). Pada tahapan analisis data menggunakan model kano untuk mengukur tingkat kepuasan pengguna website. Responden yang dilibatkan dalam penelitian ini berjumlah 100 orang responden. Analisi kano diawali dengan pengelompokan berdasarkan klasifikasi kelas kano Attractive (A), One dimensional (O), Must be (M), dan Indifferent (I). Dilanjutkan dengan penentuan grade dan pencarian nilai rentang tingkat kepuasan. Hasil penelitian menunukan tingkat ketidakpuasan lebih tingggi dari nilai kepuasan pengguna website sebesar 60%. Maka peneniliti merekomendasikan bagi pengelola website supaya memprioritaskan dan meningkat beberapa item atribut yang masuk dalam klasifikasi One Dimensional (O) dan menjaga item atribut yang ada dalam klasifikasi Attractive (A).
Peranti Pengukur Kadar Gangguan Mata Miopi dan Hipermetropi Berlandas Android Helda Yenni; Leni Apriani Sagita
Jurnal Informatika: Jurnal Pengembangan IT Vol 6, No 2 (2021): JPIT, Mei 2021
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v6i2.2433

Abstract

The vital organs of humans are enabled to see are the eyes. The eye is a camera that plays an important role in supporting daily human activities. An object can be seen clearly or not depends on the ability of light refraction in the eye. If there are abnormalities or eye diseases, it can interfere with one's vision. Visual disturbances related to light refraction namely myopia, hypermetropy, and astigmatism. Currently, there are several steps to help patients overcome these disorders, such as the use of glasses, medicines, surgery, and the use of certain technological devices. However, to follow the above method, the patient cannot detect early for any visual impairment, and the patient must go directly to the ophthalmologist at the clinic or hospital. This is less efficient if the patient has limited distance, time, up to the cost to consult directly. This research is aimed at making devices measuring myopia (nearsightedness) and hypermetropy (farsightedness) in the eye. The main components used are Raspberry Pi as the main microcontroller to process data, LCD viewer to display the results of measurement information, Android smartphone is used to display letters as a test medium that will be answered by patients so that the Raspberry Pi processes sound data from patients whether the answer is true or false. With this system, it can provide convenience for users in early detection of nearsightedness and farsightedness tests independently, so that information on farsightedness can be known from the results of tests carried out without having to consult a doctor directly.  Keywords - devices, gauges, visual disturbance, early detection, smartphones 
Comparison in Quality of service Performance For Wireless Sensor Network Routing between Fuzzy Topsis and SAW Algorithm Muhammad Hafizd Ibnu Hajar; Galang Persada Nurani Hakim; Ahmad Firdausi; Eko Ramadhan
Jurnal Informatika: Jurnal Pengembangan IT Vol 6, No 2 (2021): JPIT, Mei 2021
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v6i2.2530

Abstract

one of the advantages of Wireless Sensor Network would be its ability to reduce cost of communication system using node to node communication. Because of many things data transfer is Wireless Sensor Network operation sometimes has disturbance. A routing algorithm is a network coding that intends to enhance network performance for better operation with or without any disturbance. Fuzzy TOPSIS and SAW as MCDM algorithm is proposed for routing algorithm in Wireless Sensor Network operation. From our simulation both SAW  and Fuzzy Topsis algorithm can be used in network coding (routing) to provide better QOS for Wireless Sensor Network compare with shortest path routing. For delay it perform better at about 2/3 (shortest path routing 50 millisecond, both SAW and Fuzzy Topsis algorithm 33 millisecond), and for packet loss at about 3/4 (shortest path routing 21 bit loss, both SAW and Fuzzy Topsis algorithm 16 bit loss). From our simulation both SAW and Fuzzy Topsis algorithm algorithm has benefit which is lower delay and packet loss but at higher cost which is more hopping for communication channel (shortest path routing 3 hopping, both SAW and Fuzzy Topsis algorithm 5 hopping)
Implementasi Algoritma Naïve Bayes untuk Klasifikasi Konten Twitter dengan Indikasi Depresi Andre Budiman; Julio Christian Young; Alethea Suryadibrata
Jurnal Informatika: Jurnal Pengembangan IT Vol 6, No 2 (2021): JPIT, Mei 2021
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v6i2.2419

Abstract

Depresi merupakan salah satu permasalahan kesehatan yang sangat berdampak bagi para penderitanya. Terdapat begitu banyak faktor depresi, di antaranya pengalaman hidup, pekerjaan, ataupun kehidupan sosial. Pada tahun 2018, diperkirakan 6.1% dari 267.7 juta penduduk di Indonesia mengalami depresi. Hal ini tentunya sangat dipengaruhi oleh stigma masyarakat terkait dengan penyakit kejiwaan dan rendahnya tingkat kesadaran masyarakat untuk melakukan konsultasi kejiwaan. Melalui perkembangan teknologi, saat ini, mayarakat seringkali mengekspresikan dirinya melalui konten-konten di media sosial. Pada penelitian ini dilakukan proses pengumpulan data-data dengan kata kunci yang mengindikasikan gangguan depresi di platform Twitter. Kemudian, dengan melibatkan seorang psikiatri, dilakukan proses pelabelan terhadap dataset untuk menentukan apakah konten memiliki label “terindikasi depresi” ataupun “tidak terindikasi”. Berdasarkan dataset tersebut, dikembangkan model prediktif dengan menggunakan metode Multinomial Naïve Bayes (MNB) dan Complement Naïve Bayes (CNB) sebagai metode klasifikasi dan metode Term Frequency–Inverse Document Frequency (TF–IDF) sebagai metode ekstraksi fitur. Berdasarkan eksperimentasi yang telah dilakukan gabungan metode TF–IDF dan MNB berhasil mencapai tingkat F-score sebesar 91.30% sementara gabungan metode TF–IDF dengan CNB berhasil mencapai tingkat performa sebesar 91.98%.
Arsitektur Convolutional Neural Network (CNN) Alexnet Untuk Klasifikasi Hama Pada Citra Daun Tanaman Kopi Dicki Irfansyah; Metty Mustikasari; Amat Suroso
Jurnal Informatika: Jurnal Pengembangan IT Vol 6, No 2 (2021): JPIT, Mei 2021
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v6i2.2802

Abstract

Indonesia is the fourth largest coffee producing country in the world. However, when compared to 3 other countries, Indonesia's coffee production is still relatively small. Many factors cause this to happen, including the number of farmers' coffee trees that are attacked by diseases. If the handling of this disease is slow, then the disease in one tree can be transmitted to other trees. This causes a decrease in Indonesian coffee productivity. In this study, the author implemented the Alexnet Convolutional Neural Network (CNN) architecture using  the MATLAB programming platform for the identification of diseases in coffee plants through images. The total number of datasets used is 300 data which is divided into 3 classes, namely health, rust and red spider mite. The training process involving 260 training data resulted in an accuracy of 69.44-80.56%. The network testing process using 40 test data resulted in an accuracy of 81.6%. Based on the results of the study, it can be said that the Alexnet architecture is accurate for the classification of leaf pests on coffee plants
Pengukuran Indeks Kepuasan Masyarakat Terhadap Pelayanan Dan Kualitas Data Penginderaan Jauh Hedy Izmaya; Dety Purnamasari
Jurnal Informatika: Jurnal Pengembangan IT Vol 6, No 2 (2021): JPIT, Mei 2021
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v6i2.497

Abstract

Technology and Data Center (Pustekdata) LAPAN in 2016 has distributed remote sensing satellite data of 86,176 scenes to 323 government institutions. In 2016, the data service has also achieved the quality management standard ISO 9001: 2015 and the value of the Community Satisfaction Index (IKM) which reached 82 with a very satisfactory predicate. To maintain and improve performance in data services to users, it is necessary to study the needs of users for the required remote sensing data, namely by conducting a survey to users of remote sensing data, especially High Resolution Satellite Imagery (CSRT). Eight indicators are used to measure community satisfaction from the 14 indicators of the Community Satisfaction Index in accordance with the Decree of the Minister of State Apparatus Empowerment Number: KEP/25/M.PAN/2/2004 concerning Guidelines for the Preparation of IKM Service Units of Government Agencies including BUMN/BUMD. The population in this study is all data buyers from 2017, 2018 and 2019. The survey data are then reviewed and analyzed using statistical analysis with instrument refinement by statistically validating the survey data. The 2017 Community Satisfaction Index scored 90.69% with the predicate "Very Good". In 2018 there was an increase of 18.41% with a value of 93.69% obtaining the "Very Good" predicate. In 2019, with a total of 516 respondents, an increase of 3.12% was obtained, a score of 96.81% was obtained with the predicate "Very Good".
Analisa Perbandingan Algoritma Klasifikasi Studi Kasus: Prediksi Area Rawan Kebakaran di DKI Jakarta Rafika Awaliah
Jurnal Informatika: Jurnal Pengembangan IT Vol 6, No 2 (2021): JPIT, Mei 2021
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v6i2.2430

Abstract

sering terjadi di perkotaan kebakaran yang terjadi tidak dapat di prediksikan penyebabnya dan kapan terjadinya bencana itu datang, dengan persiapan dan peringatan dini adalah salah satu upaya pengecahan bencana kebakaran. Masalah yang sering dihadapi adalah masyarakat yang kurang informasi terhadap pencegahan kebakaran di daerah tersebut. Meningkatnya di daerah rawan kebakaran tersebut membutuhkan upaya perlindungan kebakaran. Kebakaran di DKI Jakarta membutuhkan perhatian khusus dalam menanggulangi kebakaran. Salah satu upaya pencegahan kebakaran yaitu dengan memberikan langkah-langkah mitigasi terhadap daerah yang terindentifikasi sebagai daerah rawan dan memberikan informasi kepada pemerintah terkait strategi yang akan dilakukan untuk daerah yang rawan kebakaran. Berdasarkan hal tersebut  penelitian ini mengaplikasikan dengan metode data mining untuk membandingkan kinerja algoritma Multilayer Perceprton dan Convolutional Neural Network dari berbagai eksperimen untuk menemukan algoritma yang memiliki akurasi tertinggi dengan prediksi yang tepat dalam mengklasifikasikan kebakaran sebagai durasi kebakaran yaitu sebentar, sedang atau lama.Proses klasifikasi di evaluasi dengan menggunakan cross Validation dan Confusion matrix. Dari hasil perbandingan penggunaan kedua algoritma menunjukkan bahwa Multilayer Perceptron dengan akurasi sebesar 99% , Hasil Epoch dengan hasil akurasi terbaik pada epoch 50 yaitu 99.61% dan cross validation menggunakan 10 fold untuk nilai validasi akurasi sebesar 98.12%. Sedangkan algoritma Convolutional Neural Network dengan akurasi sebesar 97% , Hasil Epoch dengan hasil akurasi terbaik pada epoch 50 yaitu 97.5% dan cross validation menggunakan 20 fold untuk nilai validasi akurasi sebesar 86.52%. Dari Hasil dataset tersebut menunjukkan bahwa algoritma Multilayer Perceptron lebih mengungguli dari pada algoritma Convolutional Neural Network. Untuk pengembangan berikutnya, studi ini bisa dilanjutkan menjadi model dalam sebuah aplikasi peringatan dini terhadap bencana kebakaran di DKI Jakarta.
Perancangan Aplikasi Android Pembentukan Karakter Taruna Tingkat I PIP Semarang Mohammad Sapta Heriyawan; Janny Andriani Djari
Jurnal Informatika: Jurnal Pengembangan IT Vol 6, No 2 (2021): JPIT, Mei 2021
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v6i2.504

Abstract

The existence of the Covid-19 pandemic has resulted in the PIP Semarang Level I cadet education process being carried out online, including the formation of cadet character. This study presents an approach in growing and shaping the character of the Level I PIP Semarang cadets with android-based application media. The character building application is made to instill character values that must exist in PIP Semarang Level I cadets in order to build a nation with Indonesian character. With this android-based application, it can assist in creating, converting, storing, communicating and disseminating information that will be developed as a model for Taruna Character Education at the Semarang Shipping Science Polytechnic. Development using the waterfall method and testing using blackbox. Based on the results of the blackbox test, it can be said that the test results can be said to have worked well and correctly with an increase in the overall weighted average value before and after system development with a difference of 1.45
Pengembangan Aplikasi Warung Kelontong Berbasis Android Mengunakan Framework Apache Cordova Suwarjono Suwarjono; Helmia Tasti Adri; Fauziatul Hamamy; Sobrul Laeli
Jurnal Informatika: Jurnal Pengembangan IT Vol 6, No 2 (2021): JPIT, Mei 2021
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v6i2.2428

Abstract

Warung kelontong yaitu warung yang menyediakan kebutuhan rumah tangga seperti sembilan bahan pokok (sembako), makanan dan barang rumah tangga. Warung ini ditemukan berdampingan dengan pemilik rumah yang tidak jauh dengan masayarakat seperti perkamapungan, perumahan dan yang sering ditemui didalam gang. sangat penting untuk memberikan sentuhan teknologi pada pembukuan kegiatan jualbeli melalui aplikasi berbasis android. penelitian ini merupakan pengembangan aplikasi warung kelotong mengunakan tahapan metode waterfall. hasil dari penelitian ini adalah aplikasi mobile warung kelontong berbasis android yang dapat digunakan untuk mengelolah data penjualan secara offline dalam arti tidak perlu terhubung internet yang dibuat dan dikembangkan mengunakan framework apache cordova

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