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INDONESIA
KOMPUTIKA - Jurnal Sistem Komputer
Published by Universitas Komputer Indonesia
ISSN : 22529039     EISSN : 26553198     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
Jurnal Ilmiah KOMPUTIKA adalah wadah informasi berupa hasil penelitian, studi kepustakaan, gagasan, aplikasi teori dan kajian analisis kritis di bidang kelimuan bidang Sistem Komputer.
Arjuna Subject : -
Articles 218 Documents
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Klasifikasi Ekspresi Teks Berbahasa Jawa Menggunakan Algoritma Long Short Term Memory Oddy Virgantara Putra; Aziz Musthafa; Kukuh Prasetyo Wibowo
Komputika : Jurnal Sistem Komputer Vol 10 No 2 (2021): Komputika: Jurnal Sistem Komputer
Publisher : Computer Engineering Departement, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputika.v11i1.4616

Abstract

Bahasa Jawa bisa dikatakan Bahasa yang unik karena bahasa Jawa mempunyai banyak arti meskipun satu kata yang sama tetapi beda daerah. Suku Jawa adalah suku terbesar yaitu 41% atau sekitar 95.217.022 jiwa. Pulau Jawa juga pengakses internet terbesar khususnya untuk media sosial yaitu 87,13%, dari data tersebut banyak informasi yang bisa didapatkan dari keaktifan suku Jawa dalam menggunakan media sosial. Khususnya adalah data tekstual, tetapi tidak mudah mendapatkan ekspresi atau emosi suku Jawa dari media sosial karena jumlah datanya sangat banyak. Maka dari itu permasalahan ini dapat di analisa. Teks mining merupakan salah satu cara yang tepat karena data media sosial lebih banyak data tekstual. Menggunakan RNN Architecture dan algoritma Longs Short Term Memory (LSTM), data tekstual akan mudah diolah karena data yang banyak akan dirapikan dan di kalsifikasikan. Sehingga data yang banyak itu akan dipilih dan olah sesuai dengan ekspresi, karena penelitian ini berfokus pada ekspresi dan emosi maka data akan di klasisfikasikan dengan LSTM. Dari hasil proses penggunaan LSTM untuk memilah ekspresi menjadi 4 yaitu marah, senang, sedih, dan takut mendapat akurasi 92%. Akurasi tersebut menunjukkan Long Short Term Memory (LSTM) efektif dalam pengklasifikasian ekspresi teks berBahasa Jawa.
Gim Edukasi Bernarasi Cerita untuk Edukasi Prasekolah Normal Baru: Studi Kasus di TK Lintang, Surabaya Pratama Wirya Atmaja; Sugiarto Wirya Sugiarto; Diana Aqidatun Nisa
Komputika : Jurnal Sistem Komputer Vol 11 No 1 (2022): Komputika: Jurnal Sistem Komputer
Publisher : Computer Engineering Departement, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputika.v11i1.4315

Abstract

Educational games are a state-of-the-art method for education in the 21st century. However, they have not been applied for new-normal education in preschools. To contribute to the matter, we developed an educational game to help TK Lintang, a preschool institution in Surabaya, conduct "Jari Aritmetika" or "Magic Fingers" learning and teaching. We chose the visual novel as the game's genre, and the game presented Jari Aritmetika through storytelling and cartoon visuals. We developed the game in two iterations by considering "ease of use" as its non-functional requirement. Our results are two versions of the game and an information system for modifying the game’s arithmetic questions. The students will play the game’s mobile version at home, whereas the desktop version will be used in TK Lintang’s location. We have proven the game's feasibility through a testing process involving four students and their parents. We have also extracted five principles of educational game applications in new-normal preschool education, including facilitating "family time" between students and their parents.
Analisis Komparasi Algoritma Klasifikasi Data Mining Dalam Klasifikasi Website Phishing Nabila Bianca Putri; Arie Wahyu Wijayanto
Komputika : Jurnal Sistem Komputer Vol 11 No 1 (2022): Komputika: Jurnal Sistem Komputer
Publisher : Computer Engineering Departement, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputika.v11i1.4350

Abstract

Phishing is a fraudulent act carried out to try to get important information from users who use the internet by sending fake e-mails to the users. Data mining classification techniques can be used to predict phishing websites. Many data mining classification algorithms can be used, so it is necessary to make comparisons to determine the level of accuracy of each algorithm. The algorithm used is naïve Bayes, random forest, decision tree, and support vector machine. The data used are 1.353 websites data. The results of the classification process are evaluated using cross validation and confusion matrix to find out the most accurate data mining classification algorithms for predicting phishing websites.
Klasifikasi Video Olahraga Berdasarkan Citra Berbasis Konten Menggunakan Segmentasi Superpixel Yohannes Yohannes; Nur Rachmat; Bobby Jaya Saputra
Komputika : Jurnal Sistem Komputer Vol 11 No 1 (2022): Komputika: Jurnal Sistem Komputer
Publisher : Computer Engineering Departement, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputika.v11i1.4542

Abstract

Sport has a large number and its number is always increasing as the time goes by. Many people like to watch sports competitions or tournaments on the field live. Nowadays, sports tournaments can now be watched digitally via video without the need to watch them live on the field by technological advances. Video classification needs to be done to differentiate the number of sports videos currently into the sports category according to the content. This study classifies sports videos of the types of Baseball, Basketball, Boxing, Gymnastic, Hockey, Swimming, Tennis, Volleyball, and Wrestling based on image content. The classification is done with the image content as a he, then the superpixel segmentation and superpixel colorization processes are carried out on the images to form a model. The model is formed using the CNN method with ResNet-50 architecture. Various numbers of superpixel segmentation are used as a comparison in the modelling to get the best results. The number of superpixel segmentation with the best result is 25.000 with an average rate of accuracy 0.97, precision 0.87, and recall 0.86 so that it is used for testing sports videos. The test result is the superpixel segmentation can be used to classify sports videos well with an average rate of accuray 0.91, precision 0.64 and recall 0.61, although some sports that had poor results, such as basketball and wrestling.
Analisis Pemilihan Warna Cat Dinding dengan Metode Data Mining Berdasarkan Kepribadian Pengguna Supangat Supangat; Titasari Rahmawati
Komputika : Jurnal Sistem Komputer Vol 11 No 1 (2022): Komputika: Jurnal Sistem Komputer
Publisher : Computer Engineering Departement, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputika.v11i1.4575

Abstract

ABSTRACT – A personality test or so-called psychotest is an activity of measuring through a systematic stage to reveal certain psychological aspects of the individual. One of the most accurate personality tests is the MBTI (Myer Briggs Type Indicator). The results of the MBTI test can be used for consideration of various interests, such as work or for certain interests, for example to find out one's strengths and weaknesses, to build relationships with other people and other interests. The purpose of this study is to produce an application that can provide information about the paint color of the room that the pengguna chooses based on the pengguna's personality type that has been predetermined using the MBTI test. The information displayed is in the form of support and confidence values ​​for the relationship between the pengguna's personality type and favorite paint color. item. In addition, the application can also provide information in the form of data analysis on the personality type and color chosen by the pengguna using the FP-Growth (Frequent Pattern Growth) algorithm. The FP-Growth algorithm is a development of the Apriori algorithm with the aim of collecting data that appears at the same time then grouping and creating a list of items that often appear. In determining the percentage results of support and confidence carried out by the system, it depends on the amount of data and the minimum amount of support that is input. More data will affect the percentage result and will speed up the analysis process using FP-Growth. By analyzing the results of frequent itemset, a rule can be formed that can be used by pengguna references in selecting or combining wall paint colors based on the pengguna's personality.
Implementasi Aplikasi Keberangkatan Pelaut Berbasis Web Menggunakan Metode AHP (Analytic Hierarchy Process) Teguh Triatmojo; Muhammad Rifqi
Komputika : Jurnal Sistem Komputer Vol 11 No 1 (2022): Komputika: Jurnal Sistem Komputer
Publisher : Computer Engineering Departement, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputika.v11i1.4598

Abstract

ABSTRACT – The development of information systems nowadays has shown an interesting phenomenon. Various kinds of education, government, agencies, many more use technology to help improve performance, but unfortunately not all agencies take advantage of existing technology, call it FOS Management, in making work reports for seafarers FOS Management Service in Jakarta, currently it is still carried out continuously. manual via cell phone or cell phone. For this reason, researchers made a web-based seafarer contract application using the ahp method, the expected contribution with this application can make it easier for ship crews to determine departures from the departure date, end date and the like more effectively and efficiently and ease the work reports of seafarers who initially is manual, becomes completely digital. With the weighting of the Ahp (analytic hierarchy process) method, the problem with selecting prospective seafarers to be dispatched can be resolved.
Sistem Antrian Cucian Mobil Berbasis Website Menggunakan Konsep CRM dan Penerapan UML Apriade Voutama
Komputika : Jurnal Sistem Komputer Vol 11 No 1 (2022): Komputika: Jurnal Sistem Komputer
Publisher : Computer Engineering Departement, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputika.v11i1.4677

Abstract

Kemajuan teknologi informasi dan komunikasi yang sangat cepat membuat semua aspek bdiang harus mengikutinya. Salah satunya adalah dunia usaha, dengan memanfaatkan teknologi informasi dan komunikasi maka akan meningkatkan efisiensi di segala bidang. Pada pembahasan ini adalah bagaimana cara merancang sebuah sistem aplikasi Penjadwalan Antrian cuci mobil dengan Konsep CRM (Customer Relationship Managemen). CRM adalah srategi bisnis yang memadukan antara proses, manusia, dan teknologi sehingga menjadikan suatu proses bisnis lebih efektif dan efesien dengan memanfaatkan teknologi yang dirancang. Dalam perancangan infrastruktur sistem aplikasi berbasis Web ini maka diperlukan adanya pemodelan perancangan yaitu UML (Unified Modeling languange). UML adalah pemodelan yang umum dan paling banyak digunakan dalam membantu proses perancangan sistem sehingga perlu penerapan pemodelan UML dengan benar baik secara teori maupun perancangan studi kasus, baik struktur aktor yang terlibat, aktifitas setiap aktor, proses dan mekanisme dari sistem Penjadwalan Antrian Cucian Mobil berbasis Website ini. Bahasa pemrograman yang digunakan yaitu bahasa pemrograman PHP (Hypertext Prepocessor) dan basis data MySql (My Structured Query Language). Penerapan pemodelan UML maka dapat memberikan kemudakan perancangan dalam membatu proses pengkodingan menjadi sebuah Aplikasi Sistem Penjadwalan Antrian Cucian Mobil Berbasis Website. Dengan adanya Aplikasi ini maka dapat memberikan kemudahan baik dari owner maupun kostumer dari transakasi berlangsung secara online dan terkomputerisasikan dengan baik.
Pemantauan Penyerapan Gas Beracun Menggunakan Tanaman Sansevieria Pada Ruangan Tertutup Barzan Trio Putra; Kemahyanto Exaudi; Rossi Passarella; Purwita Sari
Komputika : Jurnal Sistem Komputer Vol 11 No 1 (2022): Komputika: Jurnal Sistem Komputer
Publisher : Computer Engineering Departement, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputika.v11i1.4751

Abstract

Indoor air quality needs special attention because it is very influential on human health. One way that can be done is to keep the indoor air quality clean by utilizing sansevieria trifasciata plants. This study aims to detect air pollution levels in a closed room containing the Sansevieria Trifasciata plant. The plant functions as an absorbent of toxic gases such as carbon monoxide (CO) contaminated indoors. The prototype test room measures 65cm x 65cm x 65cm. Gas sensors are placed at the top of the room and slots to insert gas samples at the front. The working system in the room is sterilized until the gas sensor detects the normal ppm value, then the gas sample is inserted into the test room using injectable media and the gas sensor re-reads the ppm value until normal conditions. The results prove that sansevieria plants can absorb CO gas perfectly. The size and shape of sansevieria also affect the absorption process of CO gas. the bigger the plant, the better the absorption. This is evidenced by the average time it takes a small sansevieria to absorb smoke gas until it reaches normal ppm is 120 minutes. As for the big sansevieria for 80 minutes.
Prototipe Sistem Kontrol Pemadam Kebakaran Pada Rumah Berbasis Arduino Uno dan ESP8266 Dolly Indra; Erick Irawadi Alwi; Muhammad Al Mubarak
Komputika : Jurnal Sistem Komputer Vol 11 No 1 (2022): Komputika: Jurnal Sistem Komputer
Publisher : Computer Engineering Departement, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputika.v11i1.4801

Abstract

Kebakaran merupakan salah satu kejadian yang mengganggu kenyamanan pemilik rumah. Ketika terjadi kebakaran tidak ada peringatan dini kepada pemilik rumah yang bersangkutan. Dalam penanganannya juga sering kita temui pihak pemadam kebakaran sendiri kesulitan untuk memadamkan api. Metode penelitian yang digunakan adalah penelitian eksperimen dengan melakukan uji coba pada alat untuk memadamkan kebakaran rumah dengan output yang diberikan berupa nyala api dan asap menggunakan modul sensor api dan sensor MQ7. Hasil pengujian pada sensor api didapatkan jarak maksimal mendeteksi nyala api sebesar 120 cm. Sensor MQ7 mendeteksi asap ketika kadar asap melebihi 100 PPM. Sensor DHT22 dapat membaca suhu ruangan dengan nilai akurasi 97,1%. Tingkat keberhasilan sistem ketika bekerja pada ruang tamu sebesar 100%, kamar 1 sebesar 100%, kamar 2 sebesar 100% dan kamar mandi 100%. Tingkat persentase rata-rata keberhasilan keseluruhan sistem dalam bekerja sebesar 100%. Kata Kunci – Arduno uno, kebakaran rumah, Esp8266, sensor api, MQ7, DHT22.
Proteksi Kebocoran Gas LPG Rumah Tangga Berbasis Mikrokontroler Lukmanul Khakim; Ida Afriliana; Nurohim Nurohim; Arif Rakhman
Komputika : Jurnal Sistem Komputer Vol 11 No 1 (2022): Komputika: Jurnal Sistem Komputer
Publisher : Computer Engineering Departement, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputika.v11i1.4977

Abstract

ABSTRAK –Penggunaan bahan bakar gas seperti LPG umum digunakan untuk kebutuhan rumah tangga. Jenis LPG mudah terbakar, maka perlu hati-hati dalam instalasi dan penggunaannya. Seiring perkembangan teknologi dan untuk meminimalisir terjadinya kebocoran LPG, maka diperlukan alat yang mampu memproteksi kebocoran gas sebagai pememicu kebakaran yang bekerja otomatis. Alat proteksi dibangun menggunakan mikrokontroler berbasis arduino, sensor utama MQ2. Cara kerjanya sensor MQ2 akan mendeteksi LPG jika terjadi kebocoran, selanjutnya sensor mengirimkan sinyal ke mikrokontroler, dan mikrokontroler akan memberikan intruksi ke relay, di mana relay sebagai saklar otomatis untuk mengaktifkan sensor selenoid valve sehingga menutup aliran LPG, dengan demikian aliran LPG terhenti untuk memproteksi terjadinya kebakaran, disamping itu buzzer berbunyi sebagai notifikasi adanya kebocoran LPG. Dari hasil penelitian ini, MQ2 mendeteksi LPG dengan kadar 0 ppm sampai 1280 ppm dan LPG masih tersuplai, ketika kadar LPG terdeteksi antara 5240 ppm sampai 26464 ppm, suplai LPG terhenti karena selenoid valve menghambat aliran LPG tersebut.

Page 12 of 22 | Total Record : 218

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