Garuda - Garba Rujukan Digital

IMPLEMENTASI ALGORITMA NAÏVE BAYES UNTUK MEMPREDIKSI LAMA MASA STUDI DAN PREDIKAT KELULUSAN MAHASISWA Windy, Windy; Sijabat, Daniel Rudiaman; Purwiantono, Febry Eka
DINAMIKA DOTCOM DINAMIKA DOTCOM VOL 10 NO 1 TAHUN 2019
Publisher : DINAMIKA DOTCOM

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Informatics is one of the study programs at STIKI Malang which has quite large student data both data on active students and students who have graduated. Every year students who graduate on time are far less than new students, which will affect the quality of students and also influence to the accreditation of STIKI Malang. Therefore, the purpose of this study is to make an application to predict the duration of study and the predicate of student graduation by applying supervised learning techniques. Output predictions for the period of study are on time, late, or not graduated and output for predicate are summa cum laude, cum laude, very satisfying, or satisfying. The application method used in supervised learning for prediction is a Naïve Bayes algorithm. This is used to analyze data, especially in the pattern recognition process, predicting the period of study and the predicate of graduation. Before entering the calculation phase of the Naive Bayes algorithm, the Correlation Feature Selection is used to select relevant features that function to improve the accuracy of the system. The results of the study based on 10 Fold Cross Validation testing indicate that the application can be used to assist informatics study programs in order to find strategic information related to the duration of study and the predicate of student graduation with an accuracy of 77.19% and 87.65%.Keywords: Prediction, Naïve Bayes, Study Periods, Correlation Feature Selection, 10 Fold Cross Validation

THE APPLICATION OF FUZZY-ANALYTICAL HIERARCHY PROCESS METHOD FOR MAJORS SELECTION AT PUBLIC UNIVERSITIES Aditya, Addin; Purwiantono, Febry Eka
JITE (JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING) Vol 3, No 2 (2020): EDISI JANUARI
Publisher : Universitas Medan Area

The purpose of this research is to build a decision support model for prospective students in choosing undergraduate programs at state universities after they accomplished their high school. There are more than 800 undergraduate programs from science and technology departments from 40 state universities in Indonesia. In this research, we use the Fuzzy Analytical Hierarchy Process (F-AHP) to model a decision. This method is chosen because able to make comparisons between criteria more complex than other DSS (Decision Support System) methods. For the criteria used in this research is computer-based test result, student capacity in 2019 and the people who interest in those majors in 2018. The main result of this research is a ranking of science and technology departments at 40 state universities in Indonesia. The results of this research are expected to be able to assist students in choosing majors that will be taken after graduation in their school. In addition, the method of this research can also be continued in subsequent researches that are similar (theoretically). Whereas practically, this method can be implemented every year using different data.

Deteksi Plagiarisme Skripsi Mahasiswa menggunakan Metode Cossine Similarity Oppi Anda Resta; Aditya, Addin; Febry Eka Purwiantono
Sinkron : jurnal dan penelitian teknik informatika Vol. 5 No. 2 (2021): Article Research Volume 5 Number 2, April 2021
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v5i2.10909

The main requirement for graduation from students is to make a final scientific paper. One of the factors determining the quality of a student's scientific work is the uniqueness and innovation of the work. This research aims to apply data mining methods to detect similarities in titles, abstracts, or topics of students' final scientific papers so that plagiarism does not occur. In this research, the cosine similarity method is combined with the preprocessing method and TF-IDF to calculate the level of similarity between the title and the abstract of a student's final scientific paper, then the results will be displayed and compared with the existing final project repository based on the threshold value to make a decision whether scientific work can be accepted or rejected. Based on the test data and training data that has been applied to the TF-IDF method, it shows that the percentage level of similarity between the training data document and the test data document is 8%. This shows that the student thesis is still classified as unique and does not contain plagiarism content. The findings of this study can help the university in managing the administration of student theses so that plagiarism does not occur. Furthermore, it is necessary to study further adding methods to increase the accuracy of system performance so that when the process is run the system will work faster and optimally.

Automation of Aquaponic Choy Sum and Nile Tilapia Using Arduino Microcontroller Arif Widi Atmaja; Daniel Rudiaman Sijabat; Febry Eka Purwiantono
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 4, No 2 (2021): EDISI JANUARY 2021
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v4i2.4395

This study aims to build an aquaponics automation tool to simplify the control of fish and vegetable cultivation. The objects that were taken in this study were nile tilapia and choy sum. In this study, testing was carried out in an aquarium and hydroponic pipe to control nutrition, water turbidity, light, pH, feed, and temperature. The main tools used to build this automation include Arduino ESP-32, GY-302 Ambient Light Intensity Sensor, DFRobot Gravity Analog pH Sensor, DS18B20 temperature sensor, 3-6V DC R140 DC motor, Relay Module6 Chanel 12V, RTC Module. DS130 and SR04 Ultrasonic Sensor. After the system testing process, it can be concluded that this tool can support the process of cultivating nile tilapia and choy sum properly and make it easier for farmers to monitor aquaponics.

The Application of Fuzzy-Analytical Hierarchy Process Method for Majors Selection at Public Universities Addin Aditya; Febry Eka Purwiantono
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 3, No 2 (2020): EDISI JANUARI
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v3i2.3245

The purpose of this research is to build a decision support model for prospective students in choosing undergraduate programs at state universities after they accomplished their high school. There are more than 800 undergraduate programs from science and technology departments from 40 state universities in Indonesia. In this research, we use the Fuzzy Analytical Hierarchy Process (F-AHP) to model a decision. This method is chosen because able to make comparisons between criteria more complex than other DSS (Decision Support System) methods. For the criteria used in this research is computer-based test result, student capacity in 2019 and the people who interest in those majors in 2018. The main result of this research is a ranking of science and technology departments at 40 state universities in Indonesia. The results of this research are expected to be able to assist students in choosing majors that will be taken after graduation in their school. In addition, the method of this research can also be continued in subsequent researches that are similar (theoretically). Whereas practically, this method can be implemented every year using different data.

Game ID Card Puzzle Berbasis Virtual Reality Untuk Mengenalkan Kebudayaan Tradisional Indonesia Radi Rusadi Susanto; Febry Eka Purwiantono; Koko Wahyu Prasetyo
INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Vol 3 No 1 (2018): INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS (Desember 2018)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Bina Insani

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Abstrak: Perkembangan industri Game pada saat ini sangat pesat dengan berbagai macam teknologi yang digunakan. Salah satu teknologi Game yang terkenal beberapa tahun belakangan ini adalah Virtual Reality. Virtual Reality sendiri adalah teknologi yang memungkinkan penggunanya merasakan secara lansung tampilan dunia maya (virtual) dengan memanfaat indra penglihatan. Game ID Card Puzzle memanfaatkan teknologi ini dalam implementasinya. ID Card Puzzle termasuk dalam kategori (genre) puzzle. Konten yang digunakan dalam Game ini merupakan konten lokal seperti rumah adat, pakaian tradisional, senjata tradisional, alat musik tradisional dan tarian tradisional.Sesuai dengan judul dari Game yang dibuat, tujuan dari pembuatan Game ini adalah untuk mengembangkan permainan berbasis virtual reality yang menarik, kreatif, dan inovatif sehingga bisa dinikmati serta mencoba untuk mengenalkan budaya Indonesia bagi pengguna didalam maupun luar Indonesia. Dalam proses pengembangan terdapat beberapa prosedur yang dilalui yaitu persiapan, analisa, desain, pembuatan dan uji coba. Metode pengumpulan data yang dilakukan meliputi studi literatur dan observasi. Pada tahap pengujian dilakukan proses uji coba pada 30 penguji yang terdiri dari usia 14 – 40 tahun. Setelah melalui tahap pengembangan dan pengujian, Game ID Card Puzzle dapat membuktikan bahwa dengan penerapan teknologi Virtual Reality dalam Game yang mengangkat konten lokal, pengguna dapat merasa pengalaman bermain yang jauh lebih interaktif dan memberikan pengetahuan baik tentang informasi kearifan lokal. Kata Kunci: Game , Puzzle, Virtual Reality, 3D Game. Abstract: The development of the Game industry at this time is very rapid with a variety of technologies used. One of the most popular Game technologies in recent years is Virtual Reality. Virtual Reality itself is a technology that allows users to feel directly the appearance of the virtual world by utilizing the sense of sight. ID Card Puzzle Game utilizes this technology in its implementation. ID Card Puzzle is included in the puzzle category. The content used in this Game is local content such as traditional houses, traditional clothes, traditional weapons, traditional musical instruments and traditional dances. In accordance with the titles of the Game s made, the purpose of making this Game is to develop interesting, creative virtual reality based Game s and innovative so that it can be enjoyed and try to introduce Indonesian culture to users inside and outside Indonesia. In the development process there are several procedures that go through namely preparation, analysis, design, manufacture and testing. Data collection methods carried out include literature study and observation. At the testing stage, a trial process was carried out on 30 examiners consisting of ages 14-40 years. After going through the development and testing phases, ID Card Puzzle Game s can prove that with the application of Virtual Reality technology in Game s that lift local content, users can feel a much more interactive playing experience and provide good knowledge about information on local wisdom. Keywords: Game , Puzzle, Virtual Reality, 3D Game.

Metode Search Engine Optimization (SEO) Untuk Meningkatkan Ranking Webometrics Pada Web STIKI Malang Febry Eka Purwiantono
INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Vol 3 No 2 (2019): INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS (Juni 2019)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Bina Insani

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Abstrak: Di era industri 4.0, setiap universitas memiliki web yang dapat digunakan sebagai media informasi, promosi dan barometer untuk mengukur kualitas dan kredibilitas dari web universitas itu sendiri. Webometrics adalah sebuah sistem perangkingan web universitas yang dapat mengukur kualitas dan kredibilitas web dari suatu universitas. Aspek penilaian yang digunakan oleh Webometrics antara lain Presence, Visibility, Transparency dan Excellence. STIKI Malang pada bulan Januari 2018 menempati posisi 244 di level Nasional. Minimnya jumlah halaman web STIKI Malang yang terindeks di Google, jumlah backlinks dan jumlah pengunjung menjadi salah satu faktor yang mempengaruhi popularitas sekaligus peringkat web STIKI Malang di Webometrics. Oleh sebab, peneliti membutuhkan sebuah teknik yang dapat meningkatkan popularitas web STIKI khususnya terkait Google Indeks, backlinks dan jumlah pengunjung. Teknik yang paling memungkinkan untuk diimplementasikan adalah SEO (Search Engine Optimization). SEO merupakan serangkaian proses yang dilakukan secara sistematis yang bertujuan untuk meningkatkan volume dan kualitas trafik kunjungan melalui mesin pencari. Hasilnya, STIKI Malang berhasil menempati posisi 205 di level Nasional setelah penelitian ini selesai dilaksanakan yaitu pada bulan Juli 2018. Kata kunci: Perangkingan Web, Search Engine Optimization, STIKI Malang, Webometrics, Website Abstract: In the era of industry 4.0, every university has web that can be used as information media, promotion and barometer to measure the quality and credibility of the university web. Webometrics is an university rank system that can measure the web quality and credibility of an university. The assessment aspects used by Webometrics include Presence, Visibility, Transparency and Excellence. STIKI Malang in January 2018 ranked 244 at National level. The lack of STIKI Malang web pages indexed on Google, the number of backlinks and the number of visitors is one of the factors that influence the popularity and rank of STIKI Malang website on Webometrics. Therefore, researcher need a technique that can increase the popularity of STIKI Malang website, especially related to Google Index, backlinks and number of visitors. The most possible technique to be implemented is SEO (Search Engine Optimization). SEO is a series of processes carried out systematically that aim to increase volume and quality of traffic visits through search engines. As a result, STIKI Malang managed to occupy 205 at National level after research was completed in July 2018. Keywords: Search Engine Optimization, STIKI Malang, Webometrics, Web Rank, Website

PROTOTYPE PENJEMUR PAKAIAN OTOMATIS BERBASIS MICROCONTROLLER ARDUINO DENGAN METODE NAÏVE BAYES SERTA MENGGUNAKAN SENSOR LDR DAN SENSOR KELEMBABAN UDARA DHT 11 Novan Satria Yogaswara; Go Frendi Gunawan; Febry Eka Purwiantono
Jurnal Teknoinfo Vol 13, No 1 (2019): JANUARI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v13i1.198

Pada perkembangan teknologi sekarang, khususnya di bidang microcontroller arduino telah banyak menciptakan berbagai macam project yang dapat menyelesaikan permasalahan dalam kehidupan sehari-hari. Kemudian microcontroller arduino, menjadi salah satu pilihan solusi yang ada pada saat ini. Seperti permasalahan yang diangkat pada penelitian ini. Ketika terjadi cuaca tidak menentu dan diharuskan setiap hari untuk mencuci pakaian kemudian menjemur di area terbuka, maka akan sangat merepotkan apabila terjadi hujan. Oleh karena itu diperlukan peran teknologi microcontroller untuk membantu menyelesaikan permasalahan yang tersebut. Yakni dengan cara membuat penjemur pakaian otomatis yang berbasis microcontroller arduino, serta penambahan metode Naïve Bayes yang dapat menghitung klasifikasi data yang berisi nilai intensitas cahaya dan kelembapan udara. Data tersebut diperoleh dari hasil pengambilan selama 1 minggu dengan kondisi cuaca yang tidak menentu. Data tersebut akan membantu dalam proses pengambilan keputusan pada motor penggerak yang digunakan. Penjemur pakaian akan bergerak keluar dan kedalam sesuai dengan perintah yang telah diproses hitung dengan menggunakan metode Naïve Bayes pada arduino. Hasilnya algoritma Naive Bayes mampu memberikan keputusan 100% akurat bila dibandingkan dengan algoritma if/else yang hanya menghasilkan 50% keputusan akurat. Diharapkan dengan adanya penjemur pakaian otomatis ini, akan menjadi solusi dari permasalahan yang ada pada saat ini.Kata Kunci: arduino, microcontroller, naïve bayes, sensor LDR, sensor DHT 11

PEMANFAATAN RFID (RADIO FREQUENCY IDENTIFICATION) SEBAGAI ALTERNATIF ABSENSI SISWA (STUDI KASUS : SMK AR-RAHMAH SUKABUMI, JAWA BARAT) Febry Eka Purwiantono; Muhammad Sofwan Romli; Addin Aditya
Jurnal Teknoinfo Vol 13, No 2 (2019): Juli
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v13i2.292

Sampai saat ini sistem absensi di hampir seluruh institusi Pendidikan masih menggunakan kertas dan tinta. Hal ini menyebabkan sering munculnya celah bagi para siswa untuk tidak absen dan membolos saat kegiatan belajar mengajar. Tujuan dari penelitian ini adalah untuk membuat sebuah sistem informasi absensi dengan menggunakan teknologi nirsentuh yang dalam hal ini adalah RFID (Radio Frequency Identification). Teknologi ini nantinya akan menggantikan peran kertas dan tinta untuk merekam kehadiran siswa dan guru agar mempermudah operator sekolah dalam pelaporan absensi kepada pihak-pihak yang berkepentingan. Hasil menunjukkan bahwa sistem sudah mampu untuk mengendalikan proses absensi yang terjadi pada SMK Ar-Rahmah dan sudah dapat dilaporkan dengan baik. Namun perlu adanya kajian lebih lanjut mengenai peningkatan peran teknologi nirsentuh dalam menangani absensi siswa agar sistem dapat berjalan lebih baik dengan mengkolaborasikan peran manusia dengan peran teknologi informasi itu sendiri.

KLASIFIKASI SENTIMEN SARA, HOAKS DAN RADIKAL PADA POSTINGAN MEDIA SOSIAL MENGGUNAKAN ALGORITMA NAIVE BAYES MULTINOMIAL TEXT Febry Eka Purwiantono; Addin Aditya
Jurnal Tekno Kompak Vol 14, No 2 (2020): AGUSTUS
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jtk.v14i2.709

Penelitian ini bertujuan untuk menerapkan sebuah algoritma klasifikasi yang dapat menjustifikasi sentimen pada kumpulan cuitan Twitter yang diposting oleh masyarakat Indonesia. Penerapan algoritma ini nantinya akan mengklasifikasikan cuitan mana yang mengandung unsur pelanggaran yang diatur dalam UU-ITE. Dengan adanya penerapan algoritma klasifikasi ini diharapkan dapat membantu pemerintah khususnya Kepolisian Republik Indonesia dan Badan Intelijen Negara dalam merumuskan kebijakan mengenai tindakan pencegahan pelanggaran UU-ITE serta mencegah penyebaran paham radikalisme, informasi palsu dan isu SARA di Negara Indonesia. Teknik pengumpulan data yang dilakukan pada penelitian ini yaitu menggunakan Twitter API (Application Programming Interface). Sedangkan algoritma klasifikasi yang digunakan pada penelitian ini yaitu Naive Bayes Multinomial Text. Algoritma ini dipilih karena mampu mengklasifikasikan dokumen dengan memperhitungkan jumlah kemunculan kata. Dari hasil kompilasi dan data yang diolah, algoritma ini mampu menjustifikasi sentimen secara akurat kurang lebih 99,62%.

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