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All Journal Jupiter Techno.Com: Jurnal Teknologi Informasi Jurnal Simetris Jurnal sistem informasi, Teknologi informasi dan komputer Infotech Journal Jurnal Ilmiah KOMPUTASI Prosiding Seminar Nasional Teknoka Indonesian Journal of Applied Informatics Jurnal Riset Informatika Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Community Development Journal: Jurnal Pengabdian Masyarakat Infotech: Journal of Technology Information Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Teknik Informatika (JUTIF) Journal of Business and Audit Information System (JBASE) Jurnal Pendidikan dan Teknologi Indonesia KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Abdi Masyarakat Indonesia SYNERGY: Jurnal Bisnis dan Manajemen Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence Jurnal Inovasi Pengabdian dan Pemberdayaan Masyarakat Jurnal Sistem Informasi dan Manajemen The Indonesian Journal of Computer Science Jurnal Kemuhammadiyahan dan Integrasi Ilmu Jurnal Media Digital
Ade Davy Wiranata
Universitas Muhammadiyah Prof. Dr. HAMKA Jakarta, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Public Health Social Sciences

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LITERATURE REVIEW : ANALISIS METODOLOGI PERANCANGAN APLIKASI TOEFL (TEST OF ENGLISH AS A FOREIGN LANGUAGE) DI INDONESIA Sutrisno, Mirza; Wiranata, Ade Davy; Irawan, Dede
Jurnal Sistem Informasi, Teknologi Informatika dan Komputer Volume 13 No 2, Januari Tahun 2023
Publisher : Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/justit.13.2.92-99

Abstract

English Proficiency Index (EPI) atau Indeks Kecakapan Bahasa Inggris tahun 2022 menunjukkan bahwa secara Global, Indonesia berada pada posisi ke-81 dari 111 negara, dan dalam kategori rendah. TOEFL (Test of English as a Foreign Language) adalah salah satu tes kecakapan berbahasa Inggris untuk non-English native speaker. Tes TOEFL diperlukan baik untuk keperluan akademik maupun profesional, serta untuk hal-hal umum lainnya. Seiring dengan perkembangan di bidang Information Technology (IT),  maka banyak muncul aplikasi TOEFL yang dapat membantu penggunanya. Tujuan  studi ini adalah melakukan kajian literature terhadap penelitian tentang penggunaan model metodologi dalam perancangan aplikasi TOEFL. Metode  penyusunan artikel ini didasarkan pada metode kajian literatur. Studi ini mengidentifikasi berbagai metodologi yang digunakan dalam merancang aplikasi TOEFL. Hasil kajian menunjukkan bahwa metode waterfall menjadi yang paling umum digunakan. Sedangkan pengujian sistem paling banyak dilakukan menggunakan metode Black-Box Testing. Tinjauan ini memberikan gambaran tentang jumlah artikel yang diterbitkan tentang desain aplikasi TOEFL di Indonesia dan metode yang digunakan dalam setiap penelitian. Diharapkan dengan adanya literature review ini dapat membantu penulis lain dalam mencari literatur atau referensi mengenai analisis metodologi dalam perancangan aplikasi TOEFL.Kata Kunci: Aplikasi TOEFL, Blackbox Testing, Kajian Literatur, Waterfall
PERANCANGAN SISTEM INFORMASI PENDAFTARAN DAN SELEKSI PESERTA MERDEKA BELAJAR KAMPUS MERDEKA (MBKM) BERBASIS WEBSITE Erizal, Erizal; Hamimuddin, Moch; Mutiarawa, Rezza Anugrah; Wiranata, Ade Davy
JURSIMA Vol 12 No 1 (2024): Volume 12 Nomor 1 2024
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v12i2.867

Abstract

Program Mardeka Belajar Kampus Mardeka (MBKM) menawarkan peluang bagi mahasiswa untuk belajar di luar program studinya, yang dapat memperkaya pengalaman dan mempersiapkan mereka untuk dunia kerja. Namun, dalam tiga tahun pelaksanaannya di FTII UHAMKA, ditemukan kendala berupa ketiadaan sistem yang memadai untuk pendaftaran dan seleksi peserta. Hal ini menyebabkan dokumentasi dan proses seleksi peserta menjadi tidak optimal. Penelitian ini bertujuan mengembangkan sistem informasi manajemen berbasis web untuk mengelola MBKM menggunakan metode agile development. Sistem informasi manajemen yang dibuat dapat mempermudah mahasiswa mendaftar program MBKM. Setelah dilakukan pengujian menggunakan blackbox testing, Sistem yang dibuat berjalan dengan baik dan bisa digunakan untuk mempermudah koordinator MBKM atau kaprodi dalam mengelola data mahasiswa yang mengikuti program MBKM. Hasil yang didapat dari pengujian blackbox testing yaitu 90% valid semua fitur dapat berjalan dengan baik.
PEMILIHAN DOSEN PEMBIMBING SKRIPSI TERBAIK MENGGUNAKAN METODE COMPOSITE PERFORMANCE INDEX (CPI) Muryono, Tupan Tri; Wiranata, Ade Davy; Sudaryana, I Ketut; Irwansyah, Irwansyah
Infotech: Journal of Technology Information Vol 8, No 1 (2022): JUNI
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v8i1.132

Abstract

Lecturers are professional educators and scientists with the main task of transforming, developing, and disseminating science, technology, and art through education, research, and community service. The problem in this research is that the process of selecting the best thesis lecturer is still subjective without considering the criteria and weighting factors and is also done manually resulting in the selection process being less effective and efficient. The method used in this research is the Composite Performance Index (CPI). Methods of data collection techniques by means of observation, interviews, documentation. From this research, the result is that the CPI method can help in selecting the best thesis supervisor and also the first rank is A6 with a value of 500, the second rank is A4 with a value of 470, and the third rank is A2 with a value of 445.
KOMPARASI ALGORITMA DECISION TREE, NAIVE BAYES DAN K-NEAREST NEIGHBOR UNTUK MENENTUKAN KUALITAS UDARA DI PROVINSI DKI JAKARTA Irwansyah, Irwansyah; Wiranata, Ade Davy; M, Tupan Tri
Infotech: Journal of Technology Information Vol 9, No 2 (2023): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v9i2.203

Abstract

Air quality in DKI Jakarta Province refers to the state and cleanliness of the air in the area at a given time. The type and concentration of air pollutants are among the indicators used to assess air quality. DKI Jakarta's air pollution is severe, causing respiratory irritation, respiratory illnesses, and long-term health issues such as cardiovascular disease and lung cancer. Air pollution can also harm the environment by limiting visibility and harming ecosystems. The problem with the research is that no appropriate and relevant features for predicting air quality were used. The goal of this study is to identify and compare algorithms with the highest accuracy between decision trees. In determining air quality, naive Bayes and k-nearest neighbor are used. According to the findings of the K-5fold evaluation process performed with the RapidMiner tool, the accuracy of the Decision Tree algorithm was 95.89%, the accuracy of the Nave Bayes algorithm was 93.15%, and the accuracy of the K-NN algorithm was 91.78%. Based on these findings, the decision tree method has the greatest or best accuracy when compared to the Nave Bayes and K-NN algorithms.
SISTEM PAKAR DETEKSI KERUSAKAN JARINGAN LOCAL AREA NETWORK (LAN) MENGGUNAKAN METODE BECKWARD CHAINING BERBASIS WEB Irwansyah, Irwansyah; Wiranata, Ade Davy; Muryono, Tupan Tri; Budiyantara, Agus
Infotech: Journal of Technology Information Vol 8, No 2 (2022): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v8i2.150

Abstract

The form of computer network connection can be via cable or wireless such as fiber optic, microwave, wireless, or satellite. One type of computer network that is often used to connect personal computers and workstations in an office or an organization, company or factory for the use of shared resources is a local area network. The purpose of this research is to analyze, design and create an application that can detect damage to Local Area Network (LAN) networks. The research method used is backward chaining. The results of this study are applications that can detect damage to local area networks using the web-based backward chaining method. With this expert system application, it can speed up and make it easier to detect damage to Local Area Network networks.
KLASIFIKASI DATA MINING UNTUK MENENTUKAN KUALITAS UDARA DI PROVINSI DKI JAKARTA MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBORS (K-NN) Wiranata, Ade Davy; Soleman, Soleman; Irwansyah, Irwansyah; Sudaryana, I Ketut; Rizal, Rizal
Infotech: Journal of Technology Information Vol 9, No 1 (2023): JUNI
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v9i1.164

Abstract

Air plays an important role in maintaining the life of living things on earth. Metabolic processes that occur in the bodies of living things cannot take place without oxygen from the air. The air pollution problem in DKI Jakarta is very serious and can cause health problems such as irritation of the respiratory tract, respiratory diseases, and long-term health problems such as cardiovascular disease and lung cancer. Air pollution can also affect environmental quality, reduce visibility, and damage ecosystems. The purpose of this study is to determine the accuracy of classifying air quality in DKI Jakarta province. The data mining method that the author uses is the K-Nearest Neighbors (K-NN) algorithm. From the results of the evaluation process of the K-Nearest Neighbors (K-NN) algorithm using the K-5 fold that has been carried out using the RapidMiner tool, the results of K-2 fold accuracy of 73.97%, K-3 fold accuracy of 72.60%, K-4 fold accuracy of 72.60%, and K-5 fold accuracy of 75.35%.
Implementasi Business Intelligence Menggunakan Tableau Untuk Visualisasi Data Dampak Judi Online Di Indonesia Baktiar, Muhammad Yusuf; Ade Davy Wiranata
Jurnal Ilmiah Komputasi Vol. 23 No. 2 (2024): Jurnal Ilmiah Komputasi : Vol. 23 No 2, Juni 2024
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32409/jikstik.23.2.3609

Abstract

Kasus judi online di Indonesia yang semakin meningkat seiring dengan perkembangan teknologi dan penggunaan internet. Perkembangan teknologi seluler dan internet telah memberikan kemudahan komunikasi, namun juga membuka peluang bagi aktivitas negatif seperti judi online. Judi online menyebabkan masalah sosial, kesehatan mental, dan ekonomi, termasuk perselisihan rumah tangga, pencurian, dan kriminalitas. Penelitian ini menggunakan metode Business Intelligence (BI) dengan platform Tableau untuk memproses data sekunder dari situs Kaggle. Data tersebut kemudian divisualisasikan untuk mendukung proses pengambilan keputusan terkait penanganan kasus judi online. Hasil penelitian menunjukkan bahwa provinsi Jawa Barat memiliki jumlah kasus judi online tertinggi dengan 265.800.000 kasus pada tahun 2023, sementara jumlah pengguna terendah berada di DKI Jakarta dengan 130 akun. Keseluruhan pengguna judi online di Indonesia mencapai 5.372 akun, dengan total 740.160.000 kasus pada tahun 2023. Visualisasi data dalam bentuk berbagai grafik dan dashboard di Tableau membantu menyampaikan pemahaman dan perbandingan mengenai fenomena judi online kepada masyarakat. Dengan analisis ini, diharapkan berbagai pihak dapat lebih mudah memahami dan mengambil langkah untuk mengatasi masalah judi online yang semakin marak.
Analisis Sentimen Terhadap Rangka E-SAF Honda Pada Media Sosial X Dengan Algoritma Naïve Bayes Cleary Syafi'i, Akbar; Ade Davy Wiranata
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 5 No. 1 (2024): Agustus 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v5i1.1993

Abstract

Motorcycles are the best vehicles for traveling when traffic is heavy because motorcycles allow people to save time while going about their daily commute due to their small size and ability to move on narrow streets. An important component in a motorcycle is the motorcycle frame, the motorcycle frame is a useful part to support the weight of these components in the motorcycle vehicle system. However, it is rumored that a motorcycle frame with the E-SAF type has poor quality, so a sentiment analysis is needed. This research aims to collect the number of comments, both positive and negative, from social media users X about the E-SAF framework, and also to determine the accuracy of the application of the Naive Bayes method. The datasets collected from social media X amounted to 756 datasets. Then after going through the stages of data cleaning such as cleansing, tokenize, and stopword filters, the data that can be used for this research amounted to 696 datasets. The next stage is data labeling, namely by dividing the dataset with a ratio of 60:40, namely 60% of the training data totaling 417 datasets that have been manually labeled with the results of 224 negatively charged data, 193 positively charged data while the test data is 40% with a total of 279 datasets which will later be automatically labeled with the implementation of the Naive Bayes method. The next stage is that the test data goes through the data processing stage so that the test data is ready to be implemented into the Naive Bayes method. After implementing the Naive Bayes method, the accuracy obtained was 70.27% with a precision of 76% and also a recall of 79.17%. There was also a true Positive data of 57 and a true Negative data of 21. Data Visualization also displays words that appear frequently in the dataset. Here it shows that the Naive Bayes method is quite effective for the classification of sentiment analysis
Penerapan Alat Pemberian Pakan Ikan Otomatis Berbasis Panel Surya di SMK Muhammadiyah Cariu Bogor Jawa Barat Rosalina, Rosalina; Wiranata, Ade Davy; Makmun, Akhmad Haqiqi; Sinduningrum, Estu; Pratiwi, Nunik; Gunadi, Reza; Miftahuddin, Miftahuddin; Widodo, Muhammad Adnan
Jurnal Abdi Masyarakat Indonesia Vol 4 No 5 (2024): JAMSI - September 2024
Publisher : CV Firmos

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54082/jamsi.1314

Abstract

Dalam pengmas Risetmu batch 7 di SMK Muhammadiyah Cariu Bogor merupakan satu kelanjutan pengmas internal. Disini pernah dibangun kolam pembibitan ikan lele yang diperuntukan siswa agar ada bahan untuk praktikum memasak jurusan tataboga, namun di beberapa tahun terahir kondisinya tidak terawat. Tujuan Tim Pengmas memilih lokasi sekolah ini adalah dalam rangka berkontribusi terhadap ilmu pengetahuan persyarikatan Muhammadiyah dengan membantu menyediakan pasilitas penunjang pelaksanaan praktikum Tataboga yaitu membuat alat pemberian pakan ikan otomatis agar siswa tidak terbebani dengan kerja memberi makan ikan di kolam ini. Alat yang dibuat ini dirancang untuk menumpahkan pakan ikan yang akan dilakukan sesuai dengan waktu yang telah ditentukan, sehingga mempermudah siswa dan petugas sekolah dalam pembudidayaan ikan lele. Metode yang digunakan dimulai dari tahapan persiapan, sosialisasi, praktik lapangan, dan evaluasi. diawali dengan survei lapangan dan berkomunikasi dengan kepala sekolah, serta memberikan penjelasan dengan mendemontrasikan kerja Sistem. Evaluasi dilakukan untuk menilai keberhasilan program dan respons peserta terhadap pelatihan yang diberikan. Hasil pelatihan menunjukkan peningkatan pengetahuan dan keterampilan peserta dalam budidaya ikan lele. Dalam 2 bulan setelah pembuatan kolam ikan lele sudah terlihat hasil tangkapan ikan lele yang sudah bertambah panjang. diharapkan hal ini dapat dijaga sehingga mampu terus membantu bahan praktikum siswa Tataboga.
ANALYSIS OF THE LAPAK HIJAU BUSINESS MODEL IN THE SALE OF FURNITURE GOODS THROUGH THE E-COMMERCE PLATFORM Fakhriyyah , Alma Nisa; Wiranata, Ade Davy
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.4.2034

Abstract

The problems researched concern how Lapak Hijau can optimize its operations, increase customer accessibility, and maximize profits through the integration of second-hand furniture sales in an e-commerce environment including business model analysis in the context of second-hand furniture sales through an e-commerce platform. Lapak Hijau is a company engaged in buying used goods from various sources, including hotels, restaurants, and factories and reselling them at a higher price. This research aims to analyze Lapak Hijau's business model in the sale of used furniture through an e-commerce platform focusing on business model changes that allow integrating the sale of used furniture through an e-commerce platform. The research method combines business model analysis with a literature review on e-commerce and stock management to identify the optimal strategy for Lapak Hijau in integrating second-hand furniture sales in an e-commerce environment. The results of this research provide an in-depth insight into effective business strategies for Lapak Hijau in taking on the challenges and opportunities in the e-commerce era. The conclusion of this research will outline practical recommendations for Lapak Hijau and similar businesses in enhancing their success and growth in the digital environment.
Co-Authors Ahamad Ahdani Ahmad, Irsana Al-Tain, Qolibu Rozak Al-Tain, Qolibu Rozaq Aldisa, Rima Tamara Anton Maulana Ibrahim Ariyansyah, Riyan Asruddin Rudi Asrul Sani Azhar, Nur Chalik Bagus Arfian Laksono Baktiar, Muhammad Yusuf Budiyantara, Agus Catur Nugroho Cleary Syafi'i, Akbar Dede Irawan Deni Mahdiana Dwi Prastiko, Andika Dzikrillah, Ahmad Rizal Elvinaadellia, Elvinaadellia Erizal Erizal Fadhilah, Ash Shoffi Hana Fakhriyyah , Alma Nisa Firdaus Firmansyah Firmansyah, Firadaus Firmansyah, Gripsy Adep Fitria Nur Hasanah Gunadi, Reza Haderiansyah Haderiansyah Hamimuddin, Moch Hilmi Ammar I Ketut Sudaryana, I Ketut Indriani Indriani Irwansyah Irwansyah Irwansyah Irwansyah Irwansyah Irwansyah iswahyudi Iswahyudi Iswahyudi Jazuli, Umar Jefri Kusuma Rambe M, Tupan Tri MA'MUN, AKHMAD HAQIQI Makmun, Akhmad Haqiqi Maulana, Ninda Baitza Meitiyani, Meitiyani Miftahuddin Miftahuddin Mirza Sutrisno Muhamad Fadilah Rafli Muhammad Efrizal Febriyan Muhammad Erik Muhammad Iqbal Muhammad Yusuf Siregar Mukhtar, Ahmad Amirrudin Murniasih, Intan Muryono, Tupan Tri Mutiarawan, Rezza Anugrah Ninda Baitza Maulana Nunik Pratiwi Pinardi, Sofia Pratiwi, Nunik Rabbani, Abrar Dyah Rachman, Hafid Sulistyo Rafie Rafie Rahardjo, Rafi Diandra Dani Rahayu, Leni Sri Rahmi Imanda Ramza, Harry Rayhan Suwito Rezza Anugrah Mutiarawan Ridha Faiz Ananda Rima Tamara Aldisa Rima Tamara Aldisa Riyan Ariyansah Riza Alamsyah Rizal Rizal Rizki Adi Saputra Rosalina Rosalina Saefulloh, Mochamad Saifudin, Yazid Saryanto, Hendi Sinduningrum, Estu Soleman, Soleman Sulistiawati Sulistiawati Syakura, Rais Abdan Widodo, Muh. Adnan Widodo, Muhammad Adnan Wulansari, Aprilya Siti Zulhamdani Zulhamdani