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All Journal Jurnal Informatika dan Teknik Elektro Terapan JURNAL LENTERA : Kajian Keagamaan, Keilmuan dan Teknologi JOURNAL OF APPLIED INFORMATICS AND COMPUTING Technomedia Journal DoubleClick : Journal of Computer and Information Technology J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Informasi dan Komputer Jurnal Teknologi Terpadu Jurnal Ilmu Komputer dan Bisnis JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Pemberdayaan Komunitas MH Thamrin Jurnal Ilmiah Wahana Pendidikan J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Informatika dan Rekayasa Komputer
Rozikin, Chaerur
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Journal : Jurnal Ilmiah Wahana Pendidikan

 1 
Perancangan Sistem Layanan Grosir Warung Berbasis Website Dengan Metode Prototipe (Studi Kasus: Manjoo) Oktavirani, Yurike; Jaman, Jajam Haerul; Rozikin, Chaerur
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.10538586

Abstract

The manjoo warung website is an online wholesale service website that can be ordered remotely. This website is expected to provide convenience in finding wholesale shop products at competitive prices. The manjoo warung website is a grocery stall service intended for shop owners who are going to open a grocery shop business. The survey data conducted in this study, it shows that many grocery shop owners are still having trouble finding distributors for their stalls. So manjoo proposed and designed an idea to be able to overcome the problem. In this study, website design only reached the interactive prototype stage. In designing this interactive prototype using the prototype method and testing using the technology acceptance model (TAM) method. The variables used for testing using the technology acceptance model (TAM) are perceived usefulness, perceived ease of use, actual system use, behavioral intention to use, and self-efficacy. From the results of the normality test, and others, it is found that the influential variables are self-efficacy which directly influences perceived ease of use, perceived ease of use which directly influences perceived usefulness, perceived ease of use with behavioral intention of use, and behavior intention of use with actual system of use. Keywords: Prototype, User Interface, Technology Acceptance Model, Grocery Store, Website
Penerapan Algoritma Extreme Gradient Boosting (Xgboost) Untuk Analisis Risiko Kredit Saputra, Aldo Andika; Sari, Betha Nurina; Rozikin, Chaerur
Jurnal Ilmiah Wahana Pendidikan Vol 10 No 7 (2024): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.10960080

Abstract

Berdasarkan data outstanding pinjam online, pada bulan Maret tahun ini kredit tidak lancar (30-90 hari) melonjak sebesar Rp3,58 triliun (71,13% YoY) dengan pinjaman perseorangan tertinggi sebesar Rp3,3 triliun dan selebihnya dari badan usaha. Kemudian yang mengalami kredit macet melebihi 90 hari pada bulan Maret 2023 sebesar Rp1,43 triliun dari total sisa pinjaman yang belum terbayar oleh debitur. Nilai ini meningkat jauh sebesar Rp1,35 triliun (65,33%) dibandingkan pada periode sebelumnya (YoY), di mana sebesar Rp1,14 triliun adalah kredit macet dari perseorangan. Hal ini terjadi karena berawal dari kurangnya keakuratan dalam proses screening customer. Penelitian ini bertujuan untuk mengklasifikasikan calon debitur menggunakan teknik data mining dengan menggunakan algoritma XGBoost. Metode atau langkah-langkah untuk mencapai tujuan dari penelitian ini adalah metodologi Knowledge Discovery in Database (KDD), yang terdiri dari lima langkah yaitu data selection, data preprocessing, data transformation, data mining, dan evaluation. Dataset berjumlah 1000 row data yang terdiri dari 700 good dan 300 bad, dengan 21 variabel (V1 sampai dengan V20) sedangkan V21 merupakan target atau output. Untuk menganalisis data, 10 skenario model dibangun untuk mengidentifikasi model yang terbaik. Hasil model menunjukan bahwa performa model semakin baik setelah dilakukan SMOTE dengan nilai accuracy dan nilai AUC yang mengalami peningkatan. Model terbaik didapatkan pada skrenario 1 (data train 90% dan 10 data test) dengan nilai accuracy 0,83 dan AUC 0,918. Dari hasil evaluasi model menunjukan bahwa algoritma XGBoost dapat digunakan untuk menganalisis data kredit sebelum menerima/ menolak pengajuan kredit.
PERANCANGAN DAN PEMBANGUNAN SISTEM OTOMASI BERBASIS IOT PADA PERTANIAN HIDROPONIK Afif, Ramadhan Nur; Rozikin, Chaerur; Sari, Betha Nurina
Jurnal Ilmiah Wahana Pendidikan Vol 10 No 9 (2024): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.11181075

Abstract

Hydroponics is a growing method that replaces soil with water. It means you can grow anywhere without worrying about soil quality. And that makes water important for hydroponics. The amount of nutrients and the pH of the water affect the plants. The ideal pH for hydroponic plants is around 5.5 - 6.5 on average. The amount of nutrients in the water varies depending on the type of plant. This research uses TDS, pH and float switch sensors connected to the ESP32, which then communicates with the Blynk application. This application can be monitored and managed via the internet. This application is available on android, ios and Web. The test is performed on the tank by setting the target value. The results of calibrating the pH sensor using the one-point method are stable, giving relatively good measurement results.
Co-Authors Afif, Ramadhan Nur Al Qodr, Muhammad Ramadhan Syahrul Ali Ridha, Azhari Alifa, Rizal Fahmi Amalia, Indira Nur Apriade Voutama Aries Suharso Arip Solehudin Armeilia, Rida Aurelly Claudia Budianto, Theresia Ayu Syaharani, Maesha Azzahrah, Nur Salamah Badriah, Siti Eddy Ryansyah Eka Purnama, Karolina Enri, Ultach Fahlevi, Raihan Fahmi, Ikbal Fajar Estu Nugroho, Muhammad Fatoni, Hilman Fauzi, Ihsan Firdaus, Joyce Rosita Garno, G. Hafizh Ridwan, Muhammad Holiyanti, Ranti Ibnu Adam, Riza Islami Pasha, Ramadhan Jamaludin, Asep Jaman, Jajam Haerul Kamila, Ahista Tasya Khaerunnisa, Luthfi Sifa Kusnadi, Putri Aulia Lenteraningati, Anggun M Rayhan Rizqullah Syarif Ma'arif, Muhammad Samsul Maulana, Dzikri Maulana, Yuzril Nur Medistarani, Ririn Miftakhurahmat, Moh. Aulia Muhammad Fajar Estu Nugroho Nurian, Andriani Nurul Abada, Oki Oktavirani, Yurike Pradana, Bintang Ary Prihandani, Kamal Puteh, Teuku Nurmansyah Putra, Ikhwan Wiratama Putri, Juliana Widianti Dwi Qolbi, Muhammad Brillian Syifa Ramadani, Daffa Tama Rika Yunita, Rika Rismawati, Imas Rivandi, Rivandi Riza Ibnu Adam, Riza Ibnu Rizka, Alifa Maha Rizkika, Putri Rizky Fawzy, Ray Safaat, Ilham Safitri, Nur Sallamah, Afifah Nur Salsabila, Alifa Sanjaya, Nurlana Saputra, Aldo Andika Saputra, Reza Aditya Sarwanti, Ruth Tika savina, savina Setiawan, Fikri Maulana Sinambela, Annabella Dian Dameria Sopiatul Ulum Sukma Nurmakarim, Hilmy Sunandar, Adi Syach, Reiza Alithian Syafi’i, Malik Syauri, Sopian Tubagus, Ayu Shafira Wati, Sukma Winanto, Tawang Sahro