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All Journal Voteteknika (Vocational Teknik Elektronika dan Informatika) Syntax Jurnal Informatika KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Sinkron : Jurnal dan Penelitian Teknik Informatika International Journal of Artificial Intelligence Research JURNAL MEDIA INFORMATIKA BUDIDARMA Faktor Exacta JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Sisfokom (Sistem Informasi dan Komputer) Conference on Innovation and Application of Science and Technology (CIASTECH) JURIKOM (Jurnal Riset Komputer) Building of Informatics, Technology and Science Systematics Techno Xplore : Jurnal Ilmu Komputer dan Teknologi Informasi TIN: TERAPAN INFORMATIKA NUSANTARA Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Teknik Informatika (JUTIF) Scientific Student Journal for Information, Technology and Science Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Buana Pengabdian Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Pengabdian Masyarakat Nasional Inovasi Gagasan Abdimas & Kuliah Kerja Nyata Scientific Journal of Informatics
Baihaqi, Kiki Ahmad
Universitas Buana Perjuangan Karawang
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Perancangan Sistem Peringatan dan Monitoring Suhu Ruangan Material Bumbu Berbasis Mikrokontroler Arduino Uno dan Sensor DHT11 Suja Priyanto; Sutan Faisal; Kiki Ahmad Baihaqi
Scientific Student Journal for Information, Technology and Science Vol. 2 No. 2 (2021): Scientific Student Journal for Information, Technology and Science
Publisher : Scientific Student Journal for Information, Technology and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (474.453 KB)

Abstract

Ruang penyimpanan barang telah menerepkan sistem dengan pengendalian suhu yang sudah sesuai dengan SOP, namun masih terdapat kekurangan, yaitu sistem monitoring suhu. Saat ini pengecekan suhu ruangan masih menggunakan cara manual yaitu dengan cara petugas harus berjalan menuju tempat penyimpanan material yang tempatnya cukup jauh dan memerlukan waktu sekitar 10 menit. Saat ini belum terdapat alat yang digunakan untuk memberi peringatan kondisi suhu ruangan, hal ini menjadi permasalahan ketika keadaan suhu ruangan dalam kondisi abnormal. Salah satu solusi untuk mengatasi masalah tersebut adalah dengan merangkai alat untuk memonitoring secara otomatis dengan menggunakan microkontroler Arduino Uno dan sensor DHT11. Hasil dari rangkaian dibandingkan dengan nilai termometer digital, dan mendapat nilai persentase error 0.4%, sehingga rangkaian alat ini memiliki nilai selisih yang cukup baik dan dapat digunakan dalam pengukuran suhu ruangan
Penerapan Metode Machine Learning untuk Prediksi Nasabah Potensial menggunakan Algoritma Klasifikasi Naïve Bayes Devi Fitrianah; Saruni Dwiasnati; Hanny Hikmayanti H; Kiki Ahmad Baihaqi
Faktor Exacta Vol 14, No 2 (2021)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v14i2.9297

Abstract

Customers are people who trust the management of their money in a bank or other financial service party to be used in banking business operations, thereby expecting a return in the form of money for their savings. To reach information to increase company profits, a method is needed to be able to provide knowledge in supporting the data that the company has. The model can be obtained by using predictive data processing of customer data that is categorized as potential or not potential. Data processing can be done using Machine Learning, namely classification techniques. This technique will produce a churn prediction model for determining the category of customers who fall into the Potential or Not Potential category and find out what accuracy value will be generated by applying the classification technique using the Naïve Bayes Algorithm. The parameters used in this study are Gender, Age, Marital Status, Dependent, Occupation, Region, Information. The data used are 150 data from customers who have participated in the savings program to find out whether the customer is in the Potential or Non-Potential category. The accuracy results generated using this data are 86.17% of the tools used by Rapidminner.
DETEKSI HIDRASI TUBUH MENGGUNAKAN SENSOR TCS3200 BERDASARKAN WARNA URINE BERBASIS ARDUINO Deny Adi Faldano; Deden Wahiddin; Candra Zonyfar; Kiki Ahmad Baihaqi
Conference on Innovation and Application of Science and Technology (CIASTECH) CIASTECH 2020 "Peranan Strategis Teknologi Dalam Kehidupan di Era New Normal"
Publisher : Universitas Widyagama Malang

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Abstract

Urine memiliki tingkatan dehidrasi yang dapat dilihat langsung dari urine yang mengalami perubahan warna. Urine normal berwarna jernih transparan berwarna kuning muda dan urine kuning pekat biasanya tidak normal atau terindikasi dehidrasi berat, akan tetapi masyarakat biasanya kurang memperhatikan perubahan warna urine yang terjadi, sekalipun telah ada stiker atau tabel dehidrasi di toilet, masyarakat cenderung lebih sering mengabaikan perubahan warna yang terjadi pada urine padahal hal itu bisa mengakibatkan gangguan kesehatan terutama dehidrasi, maka dibutuhkan sebuah alat untuk mendeteksi dehidrasi dengan menggunakan arduino dan sensor tcs3200 untuk mendeteksi tingkat dehidrasi pada seseorang dengan cara sensor membaca warna urine kemudian akan muncul notifikasi dehidrasi pada lcd. Hasil yang diperoleh dari sensor menunjukan tingkat akurasi dalam membaca urine adalah 83,33 % dengan rata – rata error yaitu 16 %.
Artikel Implementasi Algoritma Best First Search untuk Pencarian Rute Terpendek pada Aplikasi Cerdas Pendaftaran Santri Baru: Aplikasi Cerdas Pendaftaran Santri Baru Herfandi Herfandi; Ulfatus Soleha; Agung Susilo Yuda Irawan; Kiki Ahmad Baihaqi; Reza Maulana
SYNTAX Jurnal Informatika Vol 11 No 01 (2022): Mei 2022
Publisher : Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35706/syji.v11i01.6398

Abstract

Pesantren in Indonesia is a traditional Islamic educational institution that is able to exist until now. A less structured registration process allows errors and delays in the new santri registration process will be easy to occur. Pondok Pesantren Manbaul Ulum in carrying out the education administration process still uses conventional means this causes the service system used has not been efficient and the problem of dormitory limitations, registration regulations must be made in accordance with the distance zone of residence that has been determined. Therefore this study conducted the implementation of the best first search algorithm for the search of the shortest route on the new registration intelligent application. This research resulted in a new santri registration intelligent application by applying the best first search algorithm. The development method uses waterfall. Testing software with black box testing method with test case equivalence partitioning technique gets successful conclusions from various types of testing. With features for santri namely estimation data, home, instructions, contact us, register, login, fill out registration form, see verification, print proof of pass, and see the shortest tute, for admin setting school year, see registration, see registration accepted and rejected and see reports. As for the superadmin, crud admin data and see the report. This application is expected to help pesantren administration and prospective students see the route and support education in the Industrial 4.0 era.
Analisis Vulnerability pada Website Universitas Singaperbangsa Karawang menggunakan Acunetix Vulnerability Rini Mayasari; Azhari Ali Ridha; Didi Juardi; Kiki Ahmad Baihaqi
SYSTEMATICS Vol 2 No 1 (2020): April 2020
Publisher : Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35706/sys.v2i1.3450

Abstract

Isu keamanan website merupakan hal yang sangat krusial pada masa sekarang, sehingga masalah keamanan dan kerentanan website menjadi sangat penting dalam mengembangkan aplikasi website. Dalam mendeteksi kerentanan dalam penelitian ini digunakan metode kualitatif dengan memanfaatkan perangkat lunak Acunetix Vulnerability Scanner, yang dimulai dari tahap inisiasi, investigasi, pengujian dan verifikasi. Hasil dari penelitian ini, tingkt kerentanan website Universitas Singaperbangsa Karawang berada pada level 2 yaitu Medium, sehingga kemungkinan untuk mengakses dan mengumpulkan informasi sensitif, karena dengan infromasi tersebut penyusup bisa dengan mudah mengeksploitasi kelemahan yang ada.
Securing the Website Login System with the SHA256 Generating Method and Time-based One-time Password (TOTP) Iman Permana; Mardi Hardjianto; Kiki Ahmad Baihaqi
SYSTEMATICS Vol 2 No 2 (2020): August 2020
Publisher : Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35706/sys.v2i2.3756

Abstract

Security to enter a system has a very important role because as the main entrance to access data sources. But often lack the attention of the owners and managers of information systems. To reduce these weaknesses, one method that is widely used today is to use One-Time password, which is where the password we have becomes dynamic, meaning that at a certain time the password is always changing, the positive side is that it makes it difficult for others to steal our passwords because besides representative passwords that are difficult to understand and passwords are always changing. This study discusses One-Time Password installed on a mobile device where the password is randomized using a combination of two algorithms, namely SHA256 and Time-based One Time Password. The development of this login method can reduce the level of theft of passwords owned by users who are entitled to access information sources.
Application of Convolution Neural Network Algorithm for Rice Type Detection Using Yolo v3: Penerapan Algoritma Convolution Neural Network untuk Deteksi Jenis Padi Menggunakan Yolo v3 Kiki Ahmad Baihaqi; Yana Cahyana
SYSTEMATICS Vol 3 No 2 (2021): August 2021
Publisher : Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35706/sys.v3i2.5874

Abstract

Rice is a staple food that contains a lot of energy for human life. There are several types of rice that are often sold in rice shops in general, namely IR42 rice, Pera rice, glutinous rice and Pandan fragrant rice. For now, there are still many people who do not recognize the 4 types of rice, especially millennials, for this reason, research is carried out on the introduction of rice types. The purpose of this study is to make it easier for buyers to identify the type of rice that is in the rice shop so as to minimize fraud by rice traders. The method used in this study is the YOLO (You Only Look Once) v3 method for detecting rice types. The implementation of the image detection process using YOLO (You Only Look Once) v3 has been tested for 12 samples. Based on the results of testing 12 detection experiments on digital image objects, it was obtained 100% where in the picture there were 4 types of rice, 4 grains of rice and 3 types of rice shapes.
Rancang Bangun Alat Pendeteksi Kebocoran Liquefied Petroleum Gas Berbasis Mikrokontroler Wemos D1 R1 Dengan Notifikasi Calling Herfandi Herfandi; Eko Purwirawansyah; Agung Susilo Yuda irawan; Kiki Ahmad Baihaqi
Voteteknika (Vocational Teknik Elektronika dan Informatika) Vol 10, No 2 (2022): Vol. 10, No 2, Juni 2022
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/voteteknika.v10i2.118061

Abstract

Penggunaan LPG (Liquefied Petroleum Gas) mengalami peningkatan pesat. LPG rawan menimbulkan kebakaran dikarenakan tekanan yang tinggi saat di udara. Alat berbasis mikrokontroler sudah banyak digunakan untuk mengatasi permasalahan kebocoran LPG. Sistem keamanan LPG di Desa Boak   menggunakan alat bawaan dari regulator konvensional dimana diputar secara manual untuk penutup aliran LPG, ini kurang efektif karena pengguna tidak bisa mengetahui kondisi LPG saat berada diluar rumah. Penelitian ini melakukan rancang bangun alat pendeteksi kebocoran LPG berbasis mikrokontroler wemos D1 R1 dengan fitur notifikasi calling. Hasil penelitian adalah 95% responden setuju alat perlu dibuat, dengan temuan tegangan Step down LM2596 tidak stabil dengan 4.12V ke 3.5V. Revisi produk menambahkan kapasitor sebesar 1000mF dan LED sebagai indikator kebocoran, serta resistor sebagai penghambat tegangan LED. Alat ini sudah berfungsi maksimal dikarenakan sudah dilakukan pengujian dan penyempurnaan berdasarkan temuan. Diharapkan alat ini sebagai sistem peringatan dini terjadinya kebocoran LPG.Kata kunci : Alat Deteksi, Liquefied Petroleum Gas, Mikrokontroler, Notifikasi Calling, Wemos D1 R1 The use of LPG (Liquefied Petroleum Gas) has increased rapidly. LPG is prone to fire due to the high pressure in the air. Microcontroller-based tools have been widely used to solve the problem of LPG leakage. The LPG safety system in Boak Village uses a built-in device from a conventional regulator which is manually rotated to shut off the LPG flow, this is less effective because users cannot know the condition of LPG when outside the house. This study designs an LPG leak detector based on the Wemos D1 R1 microcontroller with a calling notification feature. The result of the research is 95% of respondents agree that the tool needs to be made, with the finding that the LM2596 Step down voltage is unstable from 4.12V to 3.5V. The product revision added a 1000mF capacitor and an LED as a leakage indicator, as well as a resistor as an LED voltage blocker. This tool has been functioning optimally because it has been tested and refined based on the findings. It is hoped that this tool will serve as an early warning system for LPG leaks.Keywords: Detection Tool, Liquefied Petroleum Gas, Microcontroller, Call Notification, Wemos D1 R1
Perancangan Sistem Penerimaan Siswa Baru Berbasis Web Pada Sekolah Dasar Islam Plus Baitul Maal Herfandi Herfandi; Saruni Dwiasnati; Kiki Ahmad Baihaqi; reza Avrizal
Faktor Exacta Vol 15, No 2 (2022)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v15i2.12894

Abstract

Islamic-based education in Indonesia is an educational institution that focuses on forming the character and knowledge of Islamic religious values. Islamic Elementary School Education Institute Plus Baitul Maal in carrying out educational administration procedures still uses the conventional system. The procedure that took place has not been efficient because prospective students are required to complete the registration form sheet by manual means and still stored in the folder. The implementation of information system technology in the education sector is able to provide convenience, especially in terms of efficientness, accuracy and novelty of information. Therefore, the design and creation of a website-based new student admission information system is expected to be able to solve the problem. This research resulted in a website-based new student admission information system with the main Page having Home, About Us, How to Apply, and Contact functionality. The student dashboard page has Home, Student Profile, Document functionality. The admin dashboard page has the functionality of Home, Website Content, Management, Document Completeness, and Settings as an admin user management serves to set up admin accounts (Create, Record, Update and Delete (CRUD) for admin accounts), development methods using waterfalls, research methods using qualitative and information system testing using black box testing that gets conclusions according to various functionality tests. This system is expected to ease the work of new student admission administrators as well as adjustments to education in the Industrial 4.0 era.
Deteksi Lahan Pertanian Yang Terdampak Hama Tikus Menggunakan Yolo v5: Indonesia Kiki Ahmad Baihaqi; Candra Zonyfar
SYNTAX Jurnal Informatika Vol 11 No 02 (2022): Oktober 2022
Publisher : Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35706/syji.v11i02.7226

Abstract

Rats are one of the pests that cause damage that can be seen by the naked eye, where the damage is in the form of poor growth and development of rice plants [1]. Because the shoots of rice or the fruit are eaten and damaged. In addition, rice plants are the staple food of the Indonesian people from the upper to the lower classes[2], Karawang Regency is the largest contributor to food availability in West Java with data obtained from the agricultural office, the total area of ​​rice fields amounted to 95,906 hectares in 2016 [3]. The number is likely to continue to decrease along with the conversion of land, which is one of the factors for the decline in rice production. With the development of digital image processing technology, a system can be made to detect affected or unaffected rice fields. So that farmers can calculate the yield of their rice harvest in the future. The results of the research using CNN in Yolo v5, from 260 photo data taken from the drone were divided into 230 datasets and 30 testing data. Which is then obtained an accuracy of 88% on average. An error occurs if the testing data uses rice plants that have just started to bear fruit because usually the growth and development of fruit does not coincide, causing it to almost resemble rice plants affected by rat pests.
Co-Authors Adi Rizky Pratama Adinata, Abdul Rohim Aditya Zatnika Agung Susilo Yuda Irawan Agusti, Anggi Renata Agustin, Rachmayanti Tri Ahmad Fauzi Ahmad Fauzi Amril Mutoi Siregar April Lia Hananto Awal, Elsa Elvira Azhari Ali Ridha Azhari, Febrian Akbar Bagja Nugraha Bagus Setiawan Bambang Sukowo Billy Ibrahim Hasbi Candra Zonyfar Candra Zonyfar Danny Manongga Deden Wahiddin Dendi Prana Yudha Deny Adi Faldano Devi Fitrianah Didi Juardi Direja, Azhar Ferbista Dwiasnati, Saruni Eko Purwirawansyah Faisal, Sutan Fariz Duta Nugraha Fauzi Ahmad Muda Fitria, Denisa Gozali, Gozali Habib Abdullah Hanny Hikmayanti Handayani Hardjianto, Mardi Hendry Herfandi Herfandi Heryana, Nono Hilda Yulia Novita Iman Permana Indah Listiyowati Indra, Jamaludin Iwan Setyawan Juardi, Didi Krisna Perdana Jaya Sitompul Kusumaningrum, Dwi Sulistya Lestari, Santi Arum Puspita Madani, Puja Milenia Sriwildan Mayasari, Rini Muhammad Raja Nurhusen Narwan Nahrudin Nisa Utami, Nisa Nofie Prasetiyo Nurdin, Cherry Januar Nurlaelasari, Euis Pertiwi, Anggun Purnomo, Hendryanto Dwi Rafikoh, Zahra Anggun Rahmat Rahmat Reza Avrizal Reza Maulana Rini Mayasari Rini Mayasari Rizki Septian Akbar Rohana, Tatang Salsa Desmalia Saruni Dwiasnati Siregar, Amril Mutoi suhliyyah Suja Priyanto Sukmawati, Cici Emilia Sulistya, Dwi Sutan Faisal Tatang Rohana Ulfatus Soleha Vandelweiss, Dita Aura Wahiddin, Deden Waiddin, Deden Wardi Karto Destian Yana Cahyana Yudo Devianto Zonyfar, Candra