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All Journal PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Jurnal ABDIMAS (Pengabdian kepada Masyarakat) UBJ Jurnal Dharmabakti Nagri International Journal of Information Technology and Computer Science Applications (IJITCSA) Seminar Nasional Inovasi Teknologi AMMA : Jurnal Pengabdian Masyarakat Journal of Informatics and Information Security
Ajif Yunizar Pratama Yusuf
Fakultas Ilmu Komputer; Universitas Bhayangkara Jakarta Raya
Religion Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Nursing Social Sciences 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.
MENINGKATKAN KOMPETENSI LITERASI DIGITAL BERBASIS DIGITAL LITERACY GLOBAL FRAMEWORK (DLGF) DI GLOBAL PERSADA MANDIRI BEKASI Adi Muhajirin; Ajif Yunizar Pratama Yusuf
Jurnal Pengabdian kepada Masyarakat UBJ Vol. 6 No. 2 (2023): Juni 2023
Publisher : Lembaga Penelitian Pengabdian kepada Masyarakat dan Publikasi Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/jabdimas.v6i2.1714

Abstract

Digital literacy is the ability to search, understand and use information from various digital sources wisely. UNESCO has created a framework for measuring digital literacy levels called the Digital Literacy Global Framework (DLGF). That DLGF has instruments consisting of 1) Information and data literacy, 2) Communication and collaboration, 3) Digital Content Creation, 4) Safety, 5) Problem Solving and transformed by KOMINFO into 4 pillars of literacy to support digital transformation, namely 1) Digital Skills, 2) Digital Ethics, 3) Digital Safety and 4) Digital Culture. The purpose of this community service is to measure and improve the digital literacy skills of the Bekasi City community in dealing with hoax news and to analyze the extent of digital literacy competence through the DLGF framework. Where as many as 234,444 participants took part in the activities carried out by cybercreating in the city of Bekasi with a total of 2,564,941 and only about 9% of the population had just participated. for the method used is descriptive method with a quantitative approach. The data collection technique is a questionnaire method and library research (Library Research). The results obtained are an increase in Digital Skill 5.47%, Digital Ethics 8.79%, Digital Safety 7.63%, and Digital Culture 8.47%).
Metode DCT-Transformasi dalam Watermarking Video dengan Konsep 3-Dimensi Ajif Yunizar Pratama Yusuf; Rakhmat Purnomo
PROSIDING SNITek Vol. 3 (2021): SEMINAR NASIONAL INOVASI TEKNOLOGI (SNITek) 2021
Publisher : FT-TEKNIK USNI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59134/prosidng.v3i.292

Abstract

Watermarking adalah suatu metode yang digunakan dalam pengamanan hak otentikasi suatu gambar atau video. Oleh karena semakin meningkatnya jumlah pengiriman atau penggandaan suatu karya gambar atau video melalui internet, menyebabkan timbulnya permasalahan baru yaitu bagaimana membuktikan hak kepemilikan dari suatu citra digital (gambar atau video). Pada penelitian ini diterapkan suatu metode yang aman dalam menerapkan watermarking pada video dengan menggunakan Discrete Cosine Transform (DCT) pada domain frekuensi. Video merupakan susunan dari sejumlah frame, dimana setiap frame dianggap sebagai suatu citra tak bergerak (gambar). Penanaman watermark pada video memiliki tantangan tersendiri, dimana watermark di tanamkan ke beberapa atau semua frame yang ada pada video. Adapun konsep 3-Dimensi yang diterapkan memberikan efisiensi dalam menanamkan watermark pada seluruh frame dari suatu video bahkan dengan durasi yang sangat panjang sekalipun. Hasil penelitian ini menunjukkan bahwa metode watermarking video dengan konsep 3-dimensi dapat menjadi salah satu opsi untuk mengamankan hak otentikasi dari suatu video.
Adaptasi Teknologi Untuk Mendukung Penguatan Kemampuan Literasi dan Numerasi Siswa Melalui Aplikasi AKM-Kelas Berbasis Desktop dan Android Rafika Sari; Ajif Yunizar Pratama Yusuf; Khairunnisa Fadhilla Ramdhania; Muhammad Ganang Martyana; Illa Nur’aini; Syifa Rahmadhani; Renilda Filiandini; Reghita Suryani Putri
AMMA : Jurnal Pengabdian Masyarakat Vol. 1 No. 10 (2022): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The Minimum Competency Assessment (AKM) is an assessment of the basic competencies that all students need in order to be able to develop their own capacity and participate positively in society. The aim of AKM is to measure competency at the individual student level, which is expected for all students to reach a proficient or proficient level of competence. The minimum competency assessment since 2021 has been carried out online using the AKM-Kelas application provided by the Pusmenjar Kemdikbud. The challenge that later arises in implementing this is the ability of the school community to operate the application, apart from facilities and infrastructure, some schools do not yet have computer laboratory facilities. Based on this, the Kampus Mengajar (KM) program from the Merdeka Belajar Kampus Merdeka (MBKM) will work together to socialize and assist in using the AKM-Class application. In line with this, the participants in the Kampus Mengajar Batch 4 (KM-4) program at SDN 02 Jatireja designed a mentoring program for using the AKM-Kelas application in collaboration with the community service program (Pengabdian kepada Masyarakat - PkM) from Informatics lecturers at Bhayangkara University Jakarta Raya. Through this mentoring program, teachers and grade 5 elementary school students are the main targets as training participants. The main focus of this training is how to install desktop-based applications for teachers as proctors and install Android-based applications for students as AKM participants. This training program is carried out in stages over three consecutive months. The results of this training show an increase in competence that must be owned by teachers and students in the aspects of: AKM knowledge, literacy, numeracy.
Sentiment Analysis of On-Demand Ride-Hailing Systems using Support Vector Machine and Naïve Bayes Bhagaskara Farhan Wiguna; Herlawati Herlawati; Ajif Yunizar Pratama Yusuf
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol 11 No 2 (2023): September 2023
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v11i2.7384

Abstract

Gojek is one of Indonesia's most popular online transportation, founded in 2010. The Gojek application has been downloaded one hundred forty-two million times with more than two million drivers and four hundred thousand partners in food delivery services. Due to the increasing use of the Gojek application and the importance of knowing user views about the services provided by the application. In this research, the sentiment analysis is using Support Vector Machine and the Naïve Bayes method to classify positive sentiment and negative sentiment. The target label focus on positive and negative labels to aims avoid the bias that exists in neutrally labeled reviews on the Gojek Application. The research process includes data collection, pre-processing the data, weighting with Term Frequency-Invers Document Frequency, Support Vector Machine, and Naïve Bayes training by dividing the data into 90% training data and 10% testing data and then evaluating the results using a confusion matrix. The results of testing using the Support Vector Machine algorithm resulted in 90% accuracy, 94% recall, 91% precision, and 94% f1-score, therefore the Naïve Bayes algorithm produces 77% accuracy, 96% recall, 77% precision, and 85% f1-score.
PKM – Peningkatan Kemampuan Dosen Dalam Menyusun Manuskrip Penelitian Melalui Workshop Rekonstruksi Hasil Analisis Data Untuk Dosen AMIK Serang Tb Ai Munandar; Ajif Yunizar Pratama Yusuf; Tyastuti Sri Lestari; Ahmad Dedi Jubaedi; Harsiti Harsiti; Agus Setyawan
Jurnal Dharmabakti Nagri Vol 1 No 3 (2023): Agustus 2023 - November 2023
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58776/jdn.v1i3.78

Abstract

As a lecturer, the ability to compile research manuscripts is a crucial skill to possess. However, there are still a significant number of junior and senior professors who frequently struggle with writing research papers. There are also many professors who are able to analyse data, but they struggle when it is time to incorporate it into manuscripts. This community service activity aims to assist lecturers in putting together research paper draughts, particularly for community service partners. In general, this activity can be divided into two distinct phases: preparation and implementation. Beginning preparatory activities include the identification of partners' problems and requirements, the creation of activity schedules, and ongoing dialogue between the service team and partners. This is done to level the perception of the carried out activities. Following the completion of the preparatory phase, the implementation of community service occurs. During the implementation phase, participants received training from two instructors using distinct materials. This community service activity uses workshops and resource sharing as its methodology. Before and after the activity, pre- and post-test questionnaires were distributed in order to assess the participants' understanding and knowledge. Community service activities have a significant effect on participants' comprehension when composing research paper draughts, as demonstrated by the findings. 67% of the participants who took the post-test indicated that they comprehended the preparation of research manuscripts based on the results of the data analysis. 33% of the remaining respondents indicated that they did not understand.
Clustering of Child Nutrition Status using Hierarchical Agglomerative Clustering Algorithm in Bekasi City Ozzi ardhiyanto; Muhammad Salam Asyidqi; Ajif Yunizar Pratama Yusuf, S.Si, M.Eng; Dr. Tb. Ai Munandar, S.Kom., MT
International Journal of Information Technology and Computer Science Applications Vol. 1 No. 3 (2023): September - December 2023
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58776/ijitcsa.v1i3.42

Abstract

Clustering infant nutrition based on weight, height, and age is a data analysis method used to group infant nutritional status based on these characteristics. The research on clustering infant nutrition aims to analyze whether there are still many infants in the area with insufficient or excessive nutrition, and to identify groups of infants requiring special attention regarding their nutritional intake. In the analysis of infant nutrition clustering, data on weight, height, and age of infants are collected and then grouped based on similarities in body height and weight at certain ages. The method used in this research is hierarchical clustering, which can help in grouping the data. Clustering analysis can help understand how infants' feeding patterns vary based on their weight, height, and age. The results of research on clustering infant nutrition based on weight, height, and age can provide valuable insights for nutrition experts, pediatricians, and community health workers in developing appropriate intervention programs to improve infant feeding patterns and meet their nutritional needs. Additionally, the results of clustering infant nutrition can also be used to identify groups of infants requiring special attention regarding their nutritional needs, thus minimizing the risk of malnutrition and unhealthy growth in infants.
Implementasi Algoritma K-Means Clustering Menggunakan Aplikasi Orange Untuk Mengetahui Pola Indeks Pembangunan Manusia Tahun 2022 Kaylista N.N.K; Nabiilah Khoirunnisaa; Gading Viewianti E.N.F; Ajif Yunizar Pratama Yusuf
Journal of Informatic and Information Security Vol. 4 No. 1 (2023): Juni 2023
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/m50n5t48

Abstract

The Human Development Index (HDI) is used as a statistical parameter to evaluate the progress and quality of human life in a country. Human development plans are measured through three basic aspects: a long and healthy life, knowledge, and a decent standard of living. The research focuses on the application of k-means algorithms to identify patterns and group 34 provinces in Indonesia based on indicators that form the 2022 HDI. These indicators include life expectancy (UHH), school life expectancy (HLS), average school time (RLS), and spending. This HDI grouping aims to identify the HDI variables that should be a priority in development. The results of the analysis showed the formation of two groups (clusters) through K-Means Cluster Analysis. Cluster 1 has provincial characteristics with high to very high values on UHH, HLS, RLS, and customized output. Meanwhile, Cluster 2 consists of provinces with medium to high values on UHH, HLS, RLS, and adjusted output.
Decision Making Using Hierarchical Analytical Processes to Evaluate Computer Management Performance Ajif Yunizar Pratama Yusuf; Kusdarnowo Hantoro; Rani Suryani
Journal of Informatic and Information Security Vol. 3 No. 1 (2022): Juni 2022
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/2h4c2d76

Abstract

The presence of PC computers since the 80s with its rapid and very widespread growth can be seen as a one of the most significant developments in the field of information and communication technology. This study aims to propose decision making using the Analytical Hierarchy Process approach to evaluate computer computers with respect to using the order of preference of the user. To get the most desirable features that affect the decision to choose a computer to be identified. This is realized through a survey conducted on the target group, experienced experts in the telecommunications sector and literature study. The AHP methodwas then used in the evaluation procedure. Analytical Hierarchy Process (AHP) was applied to determine the relative weight of the evaluation criteria applied to rank computer alternatives. The results of this case study illustrate the effectiveness of the proposed computer management performance selection.
Metode SAW (Simple Additive Weighting) Untuk Pemilihan Karyawan Terbaik Kusdarnowo Hantoro; Andy Achmad Hendharsetiawan; Ajif Yunizar Pratama Yusuf
Journal of Informatic and Information Security Vol. 2 No. 2 (2021): Desember 2021
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/9jt32f24

Abstract

The purpose of determining the best employees is as an appreciation for employee performance so as to motivate employees to be able to work optimally and be able to survive in the organization for a long time. Although the goal is very simple, however, the process turns out to be very complex, takes quite a long time and costs quite a bit so that this creates the opportunity for errors to occur in determining who is the right person. Especially if the company has employees with abilities that are not much different from other employees, the determination is sometimes very subjective. Actually there are several assessment criteria in the decision-making process for selecting the best employees, namely: an assessment based on the criteria for attendance, loyalty, and tardiness and employee performance. Because it is necessary to build a system that can assist decision making to determine the selection process objectively by using the SAW (Simple Additive Weighting) method.
Co-Authors Adi Muhajirin Agus Setyawan Ahmad Dedi Jubaedi Andy Achmad Hendharsetiawan Beno Aditya Sanusi Bhagaskara Farhan Wiguna Dr. Tb. Ai Munandar, S.Kom., MT Endang Retnoningsih Fata Nidaul Khasanah Gading Viewianti E.N.F Gedhe Hilman Wakhid Hantoro, Kusdarnowo Harsiti Harsiti Herlawati Herlawati Illa Nur’aini Kaylista N.N.K Khairunnisa Fadhilla Ramdhania Muhammad Ganang Martyana Muhammad Salam Asyidqi Nabiilah Khoirunnisaa Ozzi ardhiyanto Prima Dina Atika Purnomo, Rakhmat RAFIKA SARI Rani Suryani Reghita Suryani Putri Renilda Filiandini Syifa Rahmadhani Tb Ai Munandar Tyastuti Sri Lestari