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All Journal Jurnal Informasi dan Komputer JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) Jurnal Ilmiah Wahana Pendidikan
Dadang Yusup
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Sistem Pendukung Keputusan Prioritas Pembelian Barang Menggunakan Metode Simple Addtive Weighting (Studi Kasus: PT. Atlindo) Adimas Fikri Ramadhani; Kamal Prihandani; Dadang Yusup
Jurnal Ilmiah Wahana Pendidikan Vol 7 No 7 (2021): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (283.356 KB) | DOI: 10.5281/zenodo.5729261

Abstract

Along with the times, the development of information technology also develops and brings many changes in various aspects. With the development of information technology affects people's lives. Utilization of technology can now also be felt in various fields, one of which is in the business sector. PT. Atlas Lintas Indonesia (ATLINDO) wants to utilize information technology in order to work more efficiently and improve the quality of the company. The information technology that wants to be used is a decision support system to get the priority of purchasing goods. So that it can help the company in meeting the needs of goods. This application was developed using the SDLC method with the Waterfall model and using the Simple Additive Weighting method in making decisions. This application was developed with the feature of managing goods or alternative data, then what criteria are needed, and printing reports on the results of the decisions made.
Klasifikasi Penyakit Powdery Mildew Pada Ceri manis Manis Dengan Algoritma Convolutional Neural Network Iwansyah Edo Hendrawan; M Ilhamsyah; Dadang Yusup
Jurnal informasi dan komputer Vol 10 No 1 (2022): Jurnal Sistem Informasi dan Komputer yang terbit pada tahun 2022 pada bulan 04 (
Publisher : STMIK Dian Cipta Cendikia Kotabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35959/jik.v10i1.292

Abstract

Ceri manis merupakan buah yang memiliki nilai tinggi sebagai barang komoditas, selain itu ceri manis memiliki berbagai manfaat untuk kesehatan sehingga potensi akan buah ini sangat besar. Dalam budidaya ceri manis petani seringkali menemui permasalahan yang mengganggu budidaya tanaman ceri manis. Powdery mildew adalah salah satu penyakit yang biasa menginfeksi ceri manis dimana penyakit ini menginfeksi bagian daun dan memicu penuaan dini pada ceri manis. Penanganan yang tidak tepat pada tanaman ceri manis yang terinfeksi dapat membuat penyebaran powdery mildew ke pohon ceri manis lainnya yang dapat menurunkan hasil panen ceri manis. Untuk membantu penanganan daun ceri manis sistem klasifikasi dapat menjadi solusi yang bisa digunakan dalam menemukan powdery mildew yang menginfeksi tanaman ceri manis. Tujuan dari penelitian ini adalah membuat model yang dapat melakukan klasifikasi terhadap daun ceri manis yang telah terinfeksi powdery mildew pada daun nya, model bekerja dengan membandingkan daun ceri manis yang ada dalam dataset dengan daun ceri manis yang akan diperiksa. Dari penelitian ini hasil yang dilakukan menggunakan algoritma CNN mendapatkan hasil yang baik dimana model mendapatkan akurasi sebesar 99.9% akurasi validasi sebesar 100% dan akurasi testing sebesar 100% .
Analisis Image Forensic Dalam Mendeteksi Rekayasa File Image Dengan Metode Nist Muhammad Rizki Al-Fajri; Carudin M.Kom; Dadang Yusup
JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) Vol 6, No 2 (2021): JUSTINDO
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/justindo.v6i2.5120

Abstract

Berkembangnya teknologi menyebabkan sebuah informasi dapat dengan mudahnya menyebar secara luas dan juga cepat. Dampak negatif yang terjadi akibat mudahnya informasi menyebar salah satunya yaitu informasi dapat dengan mudahnya di manipulasi, salah satunya adalah informasi berbentuk foto yang telah di rekayasa atau edit. Untuk mencegah hal tersebut dapat dilakukan analisis ke foto tersebut dengan  image forensic. Dengan bantuan tools image forensic seperti Jpegsnoop kita dapat melihat metadata dari foto tersebut sehingga kita dapat dengan mudah mencari tahu sumber foto tersebut, dan dengan Forensically beta dapat dilakukan analysis dengan metode Error level analysis untuk melihat objek yang direkayasa.  Dengan menerapkan  metodologi NIST (Nasional Institute of Standart and Technology) dalam tahapannya  akan dilakukan simulasi dengan melakukan analysis perbandingan ke pada dua foto yang diantaranya terdapat foto asli dan yang sudah direkayasa. Dari perbandingan yang dilakukan akan diketahui bahwa terdapat perbedaan metadata yang dihasilkan dan juga error level analysis yang dihasilkan dapat membuktikan bahwa foto tersebut sudah di rekayasa.
Analisis Penemuan Barang Bukti Digital Melalui Rekaman Suara Menggunakan Praat Dengan Metode Audio Forensik Hafiz Pratama S Nawawi; Carudin Carudin; Dadang Yusup
JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) Vol 7, No 1 (2022): JUSTINDO
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/justindo.v7i1.5368

Abstract

Perkembangan zaman saat ini membawa pengaruh besar kedalam dunia digital, informasi bisa diterima sangat cepat, namun dalam menerima informasi yang didapat seringkali masyarakat salah menggunakan nya, salah satu diantaranya informasi penyebaran  hoax mengenai vaksin sinovac yang masuk ke Indonesia, banyak opini yang masyarakat terima tentang hal negatif setelah melakukan vaksin tersebut. Salah satunya berupa rekaman suara yang beredar tentang informasi bohong vaksin tersebut. Tujuan dari penelitian ini adalah membuktikan rekaman suara yang diterima identik atau tidak berdasarkan jenis kelamin. Oleh karena itu perlu penanganan forensik untuk mengidentifikasi bukti digital dengan menggunakan metode audio forensik. Sedangkan metodologi yang digunakan adalah SOP 12 DFAT (Digital Forensic Analyst Team) dengan melakukan proses akuisisi, enhancement, decoding dan voice recognition. Tools yang digunakan dalam penelitian ini yaitu  Adobe Audition CS6, Praat , dan Gnumeric. Analisis dilakukan dengan mencari nilai statistik pitch, formant dan, spectrogram dimana dari hasil ketiga komponen suara tersebut. Hasil yang didapat dari tujuh sampel suara yang identik dengan barang bukti yaitu sampel suara ke-7 dan jenis kelamin dari masing masing rekaman suara yang dimiliki yaitu tujuh orang laki-laki dan satu orang perempuan. Bukti yang ditemukan merupakan bukti yang sah berdasarkan  UU Nomor 11 Tahun 2008 Tentang Informasi dan Transaksi Elektronik dan UU ITE No 19 Tahun 2016 Pasal 28 Ayat 1 mengenai berita penyebaran hoaks di media elektronik.
Analisis Usability Pada Aplikasi Momby Spa Menggunakan Metode Usability Testing Hilmy Farid; Dadang Yusup; Carudin Carudin
Jurnal Ilmiah Wahana Pendidikan Vol 8 No 14 (2022): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (188.755 KB) | DOI: 10.5281/zenodo.6982246

Abstract

Momby Spa is an application that offers baby health therapist services that aim to bridge the gap between therapists and users. However, the Momby Spa application is still less attractive to the public. This is evident from the total number of downloads in the play store which is only hundreds of downloads. Therefore, it is necessary to conduct a usability analysis which includes aspects of effectiveness, efficiency, and user satisfaction to determine the level of usability. This study uses the usability Testing method with the target of Testing 20 mothers who have toddlers and have never used the Momby Spa application. As a result, the level of effectiveness of the Momby Spa application has a value of 95%, the level of user efficiency in finding information is 0.0644 goals/sec and the level of user satisfaction is marginal and ranks C. This shows that the usability level of the Momby Spa application is still has a usability level that is quite acceptable to users because it has a high level of effectiveness and has sufficient user satisfaction.
Implementasi Metode K-Nearest Neighbor Dalam Menganalisis Sentimen Terhadap Penyedia Jasa Layanan Internet First Media Wafiuddin Adzhan; Hannie Hannie; Dadang Yusup
Jurnal Ilmiah Wahana Pendidikan Vol 8 No 16 (2022): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (303.433 KB) | DOI: 10.5281/zenodo.7068128

Abstract

At this time the use of the internet is growing rapidly and the internet plays an important role in various aspects of human life. With the increasing number of Internet users like that, many internet service providers are competing to use their services. In addition, the internet can also be used to search for information through social media, one of which is social media Twitter. Twitter is often used to express emotions about something good or bad. Tweets published by users via Twitter contain an opinion about an object, the object can be of various kinds, such as one of them is about a product or service. One of the internet services that is familiar to various groups of people is First Media, which is often given feedback by its users on the quality of the internet service provider. These responses are often given through various kinds of social media, one of which is Twitter and from these responses a method, namely sentiment analysis, will be carried out. This study discusses reviews in the form of tweets related to first media with the K-Nearest Neighbor algorithm using Rapid Miner tools. Data taken as many as 500 tweets related to the first media. Then do the deletion of ambiguous data so that it only produces 300 tweets. The methodology used is Knowledge Discovery in Databases, namely Data Selection, Data Pre-processing, Transformation, Data Mining, Evaluation. Data labeling is carried out by experts who are divided into positive and negative sentiments. The results of the modeling using K-Fold Cross Validation, and testing the value of k variations with odd numbers ranging from 3 to 25 to get the best accuracy. The highest accuracy was obtained with an accuracy of 84% with a value of k=3. Good classification results can be seen by how much accuracy is obtained.
Analisis Sentimen Opini Publik Tentang Vaksin Booster Menggunakan Metode Support Vector Machine dan firefly Algorithm RIfky Pujianto; Dadang Yusup; Tesa Nur Padilah
Jurnal Ilmiah Wahana Pendidikan Vol 8 No 23 (2022): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (353.475 KB) | DOI: 10.5281/zenodo.7397891

Abstract

Coronavirus is a viral epidemic that has swept across the world. Indonesia is one of the countries affected by the virus, so the government is trying to prevent the spread of the coronavirus so that not many people are exposed to the coronavirus. One of the government's efforts to prevent the spread of this virus is to create a free vaccination program. In January 2022, the government issued the latest vaccine, namely the booster vaccine. The emergence of the booster vaccine is slightly doubted by the public because of the many hoax news about this booster vaccine. This study aims to analyze the sentiment of public opinion on the emergence of the booster vaccine. The data used for this analysis comes from public opinion on Twitter. The data is taken using the crawling method. This research uses the support vector machine (SVM) method as a process for classifying public opinion and the firefly algorithm as an optimization of SVM parameters. There are 3 class labels used for classifiers, namely positive, negative, and neutral. A lot of data used after the pre-processing process is 2223 data which is then split into as much as 80% training data and 20% testing before entering the classification stage using the SVM method. The results of the classification using SVM produce an accuracy of 85% on the default parameters and after being optimized using the firefly algorithm it produces an accuracy of 86% with parameters C = 1.0–3.0, = 0.1-1.0.
Rancang Bangun Aplikasi Toko Kaum Jaya Berbasis Website Johan Toni Wijaya; Dadang Yusup; Intan Purnamasari
Jurnal Ilmiah Wahana Pendidikan Vol 9 No 12 (2023): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.8079063

Abstract

The Kaum Jaya store is a shop that sells typical Karawang food and drinks which has been established since 2017 and located at Jl. HS.Ronggo Waluyo, Puseurjaya, Telukjambe Timur, Karawang, West Java. Kaum Jaya store does not have branches and online system. Based on this background, it’s necessary to create an application that would simplify transaction activities with online payment systems and providing information to customers about what products are in the Kaum Jaya store. The name of application is Kaum Jaya. Application development is carried out using the prototype method. In its development, the application uses web technologies such as HTML, CSS, PHP, JavaScript, and MySQL to store product, order and user data. This application can be accessed via browser on computers and mobile devices. The result of this program is the creation of a website-based application that has passed the testing stage. This application is also equipped with a transaction system assisted by midtrans and will store all transaction history data. With the application, hope that it can provide convenience for customers in purchasing Kaum Jaya store products online, as well as simplify products and order management for store owners
Sistem Informasi Belajar Online Berbasis Website Siswa Di SD Negeri Tanjung Mekar 1 Anna Lathifah Suha; Purwantoro Purwantoro; Dadang Yusup
Jurnal Ilmiah Wahana Pendidikan Vol 10 No 4 (2024): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.10499741

Abstract

The year 2020 pandemic and its peak in 2021 saw a toll on public activity, one of which was the KBM. Restrictions on teaching learning activities are also felt by students and teachers at SDN cape bloom1, application of pokjar systems or teaching groups to be an alternative to the SDN cape bloom1. The lack of this pokjar system is the intensity of students' learning being very limited because teachers give only lessons and assignments once a week. Web-based online learning systems are designed so that students and teachers can perform learning processes through an online application disabling, ranging from nose-giving activities, downloading and uploading tasks by students to a value upload process can be done in one application, so the learning intensity will be more because it can be done anywhere and at any time. Using the waterfall model with a incremental analysis, design, development and testing. After testing with the black box methods, the test results were the whole menu was functioning accordingly.
Co-Authors Adimas Fikri Ramadhani Anna Lathifah Suha Carudin Carudin Carudin Hafiz Pratama S Nawawi Hannie Hannie Hilmy Farid Intan Purnamasari Iwansyah Edo Hendrawan Johan Toni Wijaya Kamal Prihandani M Ilhamsyah Muhammad Rizki Al-Fajri Purwantoro Purwantoro RIfky Pujianto Tesa Nur Padilah Wafiuddin Adzhan