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All Journal Techno.Com: Jurnal Teknologi Informasi PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic IJoICT (International Journal on Information and Communication Technology) Jurnal Pilar Nusa Mandiri Information System for Educators and Professionals : Journal of Information System Faktor Exacta Jurnal Komtika (Komputasi dan Informatika) Jurnal Cendikia JSI (Jurnal sistem Informasi) Universitas Suryadarma Jurnal Teknologi Terpadu Jurnal ICT : Information Communication & Technology Competitive JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal ABDIMAS (Pengabdian kepada Masyarakat) UBJ Jurnal Sains Teknologi dalam Pemberdayaan Masyarakat Journal of Students‘ Research in Computer Science (JSRCS) INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Jitu: Jurnal Informatika Utama Competitive Journal of Computer Science Contributions (Jucosco) Journal of Informatics and Information Security Jurnal Riset Informatika dan Teknologi Informasi (JRITI) Jurnal Komtika (Komputasi dan Informatika)
Prima Dina Atika
Fakultas Ilmu Komputer; Universitas Bhayangkara Jakarta Raya
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Social Sciences Transportation Other

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Android-Based Shortest Path Finding Using A-Star (A*) Algorithm in Bekasi City Herlawati Herlawati; Prima Dina Atika; Ajif Yunizar Pratama Yusuf; Fata Nidaul Khasanah; Endang Retnoningsih; Beno Aditya Sanusi; Gedhe Hilman Wakhid
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol 9 No 2 (2021): September 2021
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v9i2.3227

Abstract

Getting information on routes can be he main problem for visitors. For example in determining the route to a proper place for eating and how to find the closest route to a mall. Based on the existing problems, this study proposes an application for finding information about places that visitors want to go based on the closest route. Algorithm A-Star (A*) was implemented that uses the distance estimation by finding the closest path to the destination using a heuristic function as a basis to select from several alternatives effectively. The result showed that an android application can give the information about the location of places to visit for eating and malls by calculating the distance from the starting point to the end point.
Web-Based Recommender System for High School Major Decision Using Forward Chaining Ira Wardani; Prima Dina Atika; Herlawati Herlawati
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol 10 No 1 (2022): March 2022
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v10i1.4402

Abstract

Education is a learning process for students to develop their potential skills. One of the vocational schools is the State Vocational High School (SMK) 05 Bekasi, that educates students to have high expertise in industrial fields. However, not every student can choose the right major, there are students who choose majors based on the wishes of their parents, and do not know their real potential and abilities, so that the abilities of students are not in accordance with the majors they have chosen. One way that can be used to help choose the right major is to take a preference test that is assessed by a psychologist or the Counseling Guidance section. This method is quite effective, but it takes time especially for large numbers of student. Therefore, the researcher created a website-based recommendation system to identify majors using the Forward Chaining method. The purpose of the research is to make a recommendation system to determine the majors that students will choose. The application are developed using the System Development Life Cycle.
Virtual Private Network (VPN) Secure Socket Tunneling Protocol (SSTP) Menggunakan Raspberry Pi Sugiyatno Sugiyatno; Prima Dina Atika
INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Vol 2 No 2 (2018): INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS (Juni 2018)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Bina Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (698.457 KB)

Abstract

Abstrak: Dalam implementasinya jaringan VPN diperlukan sebuah server sebagai penghubung dan manajemen user. Perangkat dengan spesifikasi mumpuni biasa digunakan untuk merancang VPN server pada jaringan enterprise yang berskala besar. Namun, penggunaan perangkat tersebut untuk jaringan skala kecil kurang efisien. Oleh karena itu, digunakan perangkat Raspberry Pi sebagai alternatif dalam membangun VPN server, dimana protokol yang digunakan adalah VPN SSTP. Pada penelitian ini, dirancang suatu koneksi VPN SSTP dengan server Raspberry Pi dan client PC dengan sistem operasi Ubuntu. Dan juga, dibuat suatu rancangan VPN PPTP sebagai perbandingan terhadap VPN SSTP. Kemudian dilakukan pengujian terhadap performa dan keamanannya. Pada pengujian performa, parameter yang diuji adalah packet loss, round trip time dan SFTP file transfer. Dan pada pengujian keamanan, parameter yang diuji adalah sniffing. Hasil dari pengujian performa, menunjukkan bahwa VPN SSTP sedikit lebih baik daripada VPN PPTP, terutama pada pengujian packet loss dan round trip time. Tetapi pada pengujian SFTP file transfer, VPN PPTP lebih baik daripada VPN SSTP. Sedangkan hasil dari pengujian keamanan, menunjukkan bahwa VPN SSTP aman terhadap serangan sniffing, hal itu ditunjukkan pada hasil yang didapat dimana username dan password yang digunakan untuk login tidak dapat diketahui oleh attacker, sedangkan pada VPN PPTP username-nya dapat diketahui, tetapi password tidak dapat terbaca karena terenkripsi MS-CHAPv2. Kata kunci: Raspberry Pi, SSTP, Ubuntu, VPN Abstract: A In the implementation of VPN network required a server as a liaison and user management. A device with a highly qualified specification is used to design VPN servers on large enterprise networks. However, the use of such devices for small-scale networks is less efficient. Therefore, Raspberry Pi device used as an alternative in building a VPN server, where the protocol used is the VPN SSTP. In this study, designed an SSTP VPN connection with Raspberry Pi server and client PC with Ubuntu operating system. Also, a VPTP VPTP design is made in comparison to the SSTP VPN. Then tested the performance and safety. In performance testing, the parameters tested were packet loss, round trip time and SFTP file transfer. And on security testing, the parameter tested is sniffing. The result of performance testing shows that the SSTP VPN is slightly better than PPTP VPN, especially in packet loss and round trip time testing. But on SFTP file transfer testing, PPTP VPN is better than SSTP VPN. While the result of security testing shows that the SSTP VPN is safe against sniffing attacks, it is shown in the results obtained where the username and password used to login can not be known by the attacker, while the VPN PPTP username can be known, but the password can not be readable because of MS-CHAPv2 encrypted. Keywords: Raspberry Pi, SSTP, Ubuntu, VPN
Nutritional Status Classification of Toddlers Using K-Nearest Neighbor Algorithm Nur Amanda Pratiwi; Prima Dina Atika; Herlawati Herlawati
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol 10 No 2 (2022): September 2022
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v10i2.5604

Abstract

Nutrition is important for the balance of the human body. Knowing the nutritional status is very important to realize the good and the quality human resources. Posyandu Parkit is one of the many Integrated Healthcare Center (posyandu) in Indonesia that provides health services for the community, one of which is monitoring and nutritional development of toddlers. However, the Posyandu Parkit in determining the nutritional status of toddlers is done manually; this method uses measurement parameters based on body weight (BB/U) which are less specific in showing the nutritional status of the toddler by matching manually with a reference standard table available in a healthy card (KMS). The purpose of this research is to produce a website that can determine the nutritional status of toddlers quickly and accurately. The system is designed using the K-Nearest Neighbor method which is a classification method. The K-Nearest Neighbor process is carried out by calculating the distance between the test data and the training data using the Euclidean distance formula, before sorting from the closest distance to the k-th order, then nutritional status is determined. The results of this study are a website that can determine the nutritional status of toddlers by applying the K-Nearest Neighbor algorithm with BB/U, TB/U, and BB/TB accuracies were 93.75%, 87.5%, and 93.75 %, respectively.
Penerapan Algoritma Saw Pada Sistem Penilaian Anggota Terbaik Ukm Granat Rizky Alfiansyah; Prima Dina Atika; Ahmad Fathurrozi
JSI (Jurnal sistem Informasi) Universitas Suryadarma Vol 10, No 1 (2023): JSI (Jurnal sistem Informasi) Universitas Suryadarma
Publisher : Universitas Dirgantara Marsekal Suryadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/jsi.v10i1.987

Abstract

The purpose of determining the best members is to appreciate the achievements of members so as to motivate other members to be able to organize optimally and be able to survive in the organization for a long time. Although the purpose is very simple. It turns out that the process is very complex, takes so long that it gives rise to the opportunity for errors to occur in determining who is the right member. Especially if the UKM GRANAT has members with an assessment that is not much different from other members, then in its determination it is sometimes very subjective. Actually, there are several assessment criteria in the decision-making process for selecting the best members, namely: attendance, activeness, responsibility, professionalism, initiative, behavior. Therefore, it is necessary to build a system that can help decision making to determine the selection process objectively, namely by using the SAW (Simple Additive Weighting) method.
Penentuan Pola Frekuensi Jenis Perawatan Kecantikan Berbasis Web Menggunakan Algoritma Apriori (Studi Kasus: Peterson Salon Bekasi) Herlawati Herlawati; Rahmadya Trias Handayanto; Sri Rejeki; Wowon Priatna; Prima Dina Atika; Syahbaniar Rofiah; Endang Retnoningsih; Faisal Adi Saputra; Galih Apriansha Pradana
Journal of Students‘ Research in Computer Science Vol. 3 No. 2 (2022): November 2022
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/jsrcs.v3i2.1381

Abstract

Currently, technology can affect services in any field, both in areas such as salon services and sales of clothing products. How to plan a marketing strategy using the web based on service transaction data and products that are most often chosen by customers. Therefore, an information system for determining frequency patterns is needed using the website-based Apriori Algorithm method. The results of research on salons based on the type of beauty treatment obtained for the type of treatment with a minimum confidence = 70%, the first confidence value is 63% if the customer chooses to wash (shampoo), the customer chooses scissors, the second the confidence value is 100%, if the customer chooses to blow then chooses also cut, and the third confidence value is 86% if the customer chooses creambath then the customer chooses to cut too. Meanwhile at the shop clothes determining the frequency pattern of types of clothes with a minimum value of confidence = 70% so that the results include if a customer buys a veil, the customer buys a robe with a confidence value of 71.43% and if a customer buys khimar then the customer will also buy a robe with a confidence value of 78, 57%. With these results salon and clothing store owners can determine marketing strategies by providing the right product and service recommendations to customers. Keywords: Apriori Algorithm, Beauty Care, Recommendations, Sales   Abstrak Saat ini teknologi dapat mempengaruhi pelayanan dalam bidang apapun seperti jasa salon maupun penjualan produk pakaian. Bagaimana merencanakan strategi pemasaran menggunakan web berdasarkan data transaksi layanan dan produk yang paling sering dipilih oleh pelanggan. Oleh karena itu dibutuhkan sistem informasi penentuan pola frekuensi menggunakan metode Algoritma Apriori berbasis website. Hasil penelitian pada salon berdasarkan jenis perawatan kecantikan diperoleh untuk jenis perawatan dengan minimum confidence=70% yang pertama nilai confidence sebesar 63% jika pelanggan memilih cuci (keramas) maka pelanggan memilih gunting, yang kedua nilai confidence sebesar 100% jika pelanggan memilih blow maka memilih digunting juga, dan yang ketiga nilai confidence 86% jika pelanggan memilih creambath maka pelanggan memilih digunting juga. Sedangkan pada toko pakaian penentuan pola frekuensi jenis baju dengan nilai minimum confidence= 70% sehingga mendapatkan hasil diantaranya jika pelanggan membeli kerudung maka pelanggan membeli gamis dengan nilai confidence sebesar 71,43%  dan  jika  pelanggan  membeli  khimar maka pelanggan juga akan membeli gamis dengan nilai confidence sebesar 78,57%. Dengan hasil tersebut pemilik salon dan toko pakaian dapat menentukan strategi pemasaran dengan memberikan rekomendasi jasa dan produk yang tepat kepada pelanggan. Kata kunci: Algoritma Apriori, Penjualan, Perawatan Kecantikan, Rekomendasi
Sistem Pendeteksi Penyakit Kardiovaskular Berbasis Web Dengan Framework Flask Menggunakan Metode Random Forest Resty Nandya; Prima Dina Atika; Ahmad Fathurrozi
Jurnal ICT: Information Communication & Technology Vol. 22 No. 2 (2022): JICT-IKMI, December 2022
Publisher : LPPM STMIK IKMI Cirebon

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Abstract

Penyakit Kardiovaskular atau Cardiovascular (CVD) menurut definisi WHO (WorldHealthOrganization) adalah sekelompok gangguan jantung dan pembuluh darah, seperti penyakit jantung koroner, penyakit serebrovaskular, penyakit arteri perifer, penyakit jantung kongenital, penyakit jantung rematik, dan trombosis vena dalam. Menurut data yang diberikan oleh WHO (World Health Organization), Penyakit Kardiovaskular menjadi penyebab kematian nomor satu secara global dan diperkirakan 17,9 juta orang meninggal disetiap tahunnya. Tujuan dari penelitian ini adalah membangun sistem pendeteksi penyakit Kardiovaskular menggunakan metode RandomForest dengan tingkat akurasi yang lebih baik. Penelitian ini berbasis web dan dibangun dengan bahasa pemrograman Python. Adapun model yang sudah diperoleh akan diimplementasikan ke dalam aplikasi web menggunakan framework pengembangan web pada python yaitu Flask serta Heroku sebagai platform deployment. Dari penelitian yang telah dilakukan hasil akurasi algoritma RandomForest adalah sebesar 87,07% dengan variabel yang paling berpengaruh dalam pengklasifikasian adalah variabel systolic.
Klasifikasi Keuntungan pada Bengkel AS Motor BMW Menggunakan Metode Algoritma C4.5 Julianto; Prima Dina Atika; Joni Warta
Journal of Students‘ Research in Computer Science Vol. 4 No. 1 (2023): Mei 2023
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/jsrcs.v4i1.2558

Abstract

The growth of the motor vehicle and car repair services business is a business that has very high growth in Indonesia, due to the large number of motorized vehicles and cars. Profits in business are important because profits determine whether a company is progressing or not. The method used in this research is Classification Data Mining using the C4.5 Algorithm method, with the attributes involved namely income, cash, spare parts payable, water, electricity, employee salaries, rental costs, consumables, incidental costs, and net income. Algorithm C4.5, which is an algorithm for changing the form of data (tables) into a tree model and then changing the tree model into a rule. The application of the C4.5 algorithm to the profit and loss classification system at workshops was successfully carried out with an accuracy rate of 72.73% from the total data calculation results, and has been implemented in the form of a profit and loss classification application system for website-based workshops. The classification system of advantages and disadvantages in workshops as a result of the research that has been done can be used as a recommendation.  Keywords: Algorithm C4.5, Data Mining, Profit Classification   Abstrak Pertumbuhan bisnis jasa perbaikan kendaraan bermotor dan bermobil merupakan bisnis memiliki pertumbuhan sangat tinggi di Indonesi, dikarenakan banyaknya kendaraan bermotor dan bermobil. Keuntungan dalam bisnis merupakan hal penting dikarenakan keuntungan menentukan perusahaan mengalami kemajuan atau tidak. Adapun metode yang digunakan dalam penelitian  yaitu Data Mining Klasifikasi menggunakan metode Algoritma C4.5, dengan atribut yang terlibat yaitu pendapatan, kas, utang sparepart, air, listrik, gaji karyawan, biaya sewa, bahan habis pakai, biaya tak terduga, dan pendapatan bersih. Algoritma C4.5, yaitu algoritma untuk mengubah bentuk data (tabel) menjadi model pohon kemudian mengubah model pohon tersebut menjadi rule. Penerapan algoritma C4.5 pada sistem klasifikasi keuntungan dan kerugian pada bengkel berhasil dijalankan dengan menghasilkan tingkat akurasi sebanyak 72,73% dari hasil perhitungan data total, dan telah diimplementasikan dalam bentuk sistem aplikasi klasifikasi keuntungan dan kerugian pada bengkel berbasis website. Sistem klasifikasi keuntungan dan kerugian pada bengkel sebagai hasil dari penelitian yang telah dilakukan dapat dijadikan rekomendasi. Kata kunci: Data Mining, Algoritma C4.5, Klasifikasi Keuntungan
Klasifikasi Mahasiswa Non-Aktif Menggunakan Grid Search Optimization Pada Algoritma Decision Tree Prima Dina Atika; Ahmad Fathurrozi; Robertoi .
Jurnal ICT: Information Communication & Technology Vol. 23 No. 1 (2023): JICT-IKMI, Juli 2023
Publisher : LPPM STMIK IKMI Cirebon

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Abstract

Banyaknya mahasiswa non aktif akan mempengaruhi kinerja program studi. Oleh karena itu, dilakukan penelitian untuk mengoptimalkan teknik klasifikasi DT menggunakan Grid Search Optimization (GSO). Tujuan dari GSO adalah untuk meningkatkan akurasi hasil klasifikasi, Hasil akurasi penerapan algoritma decision tree akurasi 98,2% dengan menerapkan optimasi pencarian grid mendapatkan parameter terbaik dengan kriteria = "gini" dan max_depth = 64, meningkatkan akurasi menjadi 98,4%.
Sistem Pendukung Keputusan Penentuan Status Gizi Balita dengan Menggunakan Metode Simple Additive Weighting (SAW) Shofa Shofia; Mamang Jhulianawati; Fitria Nurapriani; Prima Dina Atika
Jurnal Pendidikan Umum Vol 1 No 1 (2023): Jitu: Jurnal Informatika Utama
Publisher : CV. Astina Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55903/jitu.v1i1.71

Abstract

Permasalahan gizi di Indonesia masih banyak dijumpai diberbagai daerah. Berdasarkan hasil data laporan dari Puskesmas Telukjambe bulan Oktober 2021 diperoleh informasi pelaporan gizi balita yaitu tercatat 702 balita dimana 0,18% anak balita mengalami gizi buruk, 4,4% anak balita mengalami gizi kurang dan 1,9% anak balita mengalami gizi lebih. Saat ini dalam menentukan status gizi balita petugas Puskesmas Telukjambe menggunakan antropometri menurut petugas Puskesmas hasil dari penentuan status gizi dengan antropometri terlalu banyak opsional status gizi. Maka dengan hal tersebut perlu adanya suatu Sistem Pendukung Keputusan berbasis website untuk membantu petugas Puskesmas untuk menentukan status gizi balita yang lebih spesifik. Sistem yang dibuat menggunakan metode Simple Additive Weighting (SAW) dan sistem ini dirancang menggunakan bahasa pemograman php dan phpMyadmin sebagai database. Hasil dari rancangan aplikasi yang sudah dibuat dan pengujian sistem blackbox dilakukan yaitu menunjukkan bahwa aplikasi dan pengujian berjalan dengan baik dan sesuai yang diharapkan.
Co-Authors .S.T., M.Kom., Suhadi Afzil Ramadian Ahmad Fathurrozi Ahmad Fathurrozi Aida Fitriyani, Aida Ajif Yunizar Pratama Yusuf AlHakim, Abdu Malik Almajid, Nafis Alviansyah, Mohammad Anita Setyowati Srie Gunarti Beno Aditya Sanusi Dadan Irwan Dani Yusuf Ekawati, Inna Endang Retnoningsih Endang Retnoningsih Faisal Adi Saputra Fata Nidaul Khasanah Fitria Nurapriani Galih Apriansha Pradana Gedhe Hilman Wakhid Gilby Lionska Wenas Haryono Haryono Hendharsetiawan, Andy Achmad Herlawati Herlawati Idaul Hasanah Indah Dwijayanthi Nirmala Ira Wardani Ismaniah Ismaniah Joni Warta Julianto Khairunnisa Fadhilla Ramdhania Kusmara, Hadi Lestari, Panca Indah Maimunah, Maimunah Malikus Sumadyo Mamang Jhulianawati Mugiarso Mugiarso Muhamad Galih Muhammad Riky Sudrajat Mukhlis Nur Amanda Pratiwi Priatna , Wowon Prihatin, Sandy Satyo Rafika Sari RAFIKA SARI Rahmadya Trias Handayanto Ramadhan, Alif Izzuddin Ramdhania, Khairunnisa Fadhilla Rasim Rasim Rasim, Rasim Resty Nandya Retna Ayu Puspitasari Retno Nugroho Whidhiasih Rizky Alfiansyah Robertoi . Samuel, Federick Dedi Sandy Satyo Prihatin Sari , Rafika Septia, Dwi Yoga Seta Samsiana Seta Samsiana Shofa Shofia SITI SETIAWATI Sri Rejeki Sri Rejeki Sugeng Murdowo Sugiyatno Sugiyatno Sugiyatno Sugiyatno Sugiyatno Syahbaniar Rofiah Tambun, Jerisman Jhon Wesli Tyastuti Sri Lestari Tyastuti Sri Lestari Wijati, Damar Yusuf, Ajif Yunizar Pratama