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All Journal e-Dinamis ELT Worldwide: Journal of English Language Teaching Jurnal Adabiyah KAREBA : Jurnal Ilmu Komunikasi International Journal of Artificial Intelligence Research Jurnal Penelitian Sains JURNAL MEDIA INFORMATIKA BUDIDARMA BERDIKARI : Jurnal Inovasi dan Penerapan Ipteks UICELL Conference Proceeding Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat IJISH (International Journal of Islamic Studies and Humanities) LISANAN ARABIYA: Jurnal Pendidikan Bahasa Arab Mobile and Forensics Signal and Image Processing Letters Jurnal Ilmiah Permas: Jurnal Ilmiah STIKES Kendal English Teaching and Linguistics Journal (ETLiJ) Al-Fathin: Jurnal Bahasa dan Sastra Arab Letters in Information Technology Education (LITE) Jurnal Kesehatan Tambusai Jurnal Jarlit JTechLP El 'Aailah Journal Medical Informatics Technology Bulletin of Social Informatics Theory and Application International Journal of Business English and Communication (IJoBEC) Jurnal Literasi dan Pembelajaran Indonesia Celebes Journal of Language Studies QOSIM: Jurnal Pendidikan, Sosial & Humaniora Journal of Sustainable Community Development GEMBIRA (Pengabdian Kepada Masyarakat) J-Shelves of Indragiri (JSI) Jurnal Pengabdian Masyarakat Mentari Multidisciplinary Indonesian Center Journal Journal on Mathematics Education Signal and Image Processing Letters Axiology
Ahmad Azhari
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PENULISAN COPYWRITING DAN PAMERAN IKLAN BAGI MAHASISWA BAHASA INGGRIS TERAPAN D4, FAKULTAS BAHASA DAN SASTRA, UNIVERSITAS NEGERI MAKASSAR Andi Hajar; Adys, Himala Praptami; Kamariah, Andi; Azhari, Ahmad; Sembiring, Surya Anantatama
Jurnal Gembira: Pengabdian Kepada Masyarakat Vol 3 No 02 (2025): APRIL 2025
Publisher : Media Inovasi Pendidikan dan Publikasi

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

Abstract

Pelatihan penulisan copywriting dan penyelenggaraan pameran iklan ini ditujukan bagi mahasiswa program studi Bahasa Inggris Terapan D4 atau dikenal juga dengan prodi Business English Communication, FBS, Universitas Negeri Makassar. Rangkaian kegiatan tersebut merupakan project dari mata kuliah English for Advertising. Kegiatan ini bertujuan untuk mengenalkan copywriting atau proses pembuatan naskah iklan kepada mahasiswa semester tiga yang memprogram mata kuliah English for Advertising. Pelatihan dan pameran ini diselenggarakan oleh 5 orang dosen prodi Bahasa Inggris Terapan D4 dan dilaksanakan selama 3 hari (Senin-Kamis, 24-26 Maret 2025) dan pada hari ke-4 (Kamis, 27 Maret 2025) dilaksanakan pameran sehari yang bertajuk “The Advertising Show BEC 2023” yang menampilkan karya-karya iklan mahasiswa. Peserta pelatihan dan pameran adalah mahasiswa semester 3, angkatan 2023 yang terdiri dari 2 kelas, yaitu kelas A dan B sebanyak total 60 mahasiswa. Metode pelatihan yang digunakan menggunakan metode ceramah, diskusi dan praktek. Dalam pameran tersebut menampilkan karya-karya copywriting mahasiswa dengan beragam jenis dan tema. Pameran tersebut dihadiri oleh civitas akademik dari kalangan dosen dan mahasiswa di lingkungan Fakultas Bahasa Sastra, Universitas Negeri Makassar. Pelatihan copywriting dan pameran iklan ini diadakan untuk memberikan motivasi dan mengembangkan bakat mahasiswa di bidang periklanan dan juga diharapkan memberikan pengalaman berharga mengenai penulisan copywriting sehingga kelak mereka dapat berkecimpung dalam dunia periklanan dengan bekerja sebagai copywriter di kantor-kantor periklanan maupun sebagai copywriter mandiri.
INTEGRITY IN LAW ENFORCEMENT POLICE ETHICS AND RESPONSIBILITIES Ahmad Azhari; Fika Novatiana; Insan Kamil Sinaga; Mahmuddin Adriansyah
Multidisciplinary Indonesian Center Journal (MICJO) Vol. 2 No. 2 (2025): Vol. 2 No. 2 Edisi April 2025
Publisher : PT. Jurnal Center Indonesia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62567/micjo.v2i2.569

Abstract

Service good society and enforcement​ law is very important For guard state order and security . Research This investigate How ethics and integrity police relate with analyze draft ethics and integrity police . The purpose of study This is For understand role the important role played by moral values and integrity in operation Police . Research This aiming For explain How ethics and honesty can entered to in practice police For increase quality service public and strengthen connection between police and society . Research This use methodology qualitative For do it . Enforcement law and services good society​ play role important in guard state order and security . Research This aiming For investigate connection between ethics and integrity member police . With analyze draft ethics and integrity member Police . Research This aiming For understand role the key played by moral values and integrity in police . Through approach qualitative For analyze , research This try to describe How ethics and integrity can integrated in a way pragmatic in practice policing For increase quality service public and strengthen connection between police and society .
K-Nearest Neighbors for Fast and Accurate Qibla Direction Determination Wardoyo, Girindra Sulistiyo; Azhari, Ahmad
Mobile and Forensics Vol. 7 No. 1 (2025)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/mf.v7i1.12781

Abstract

Determining the correct direction of the Qibla is essential for the validity of prayer, but in areas far from the Kaaba, this can be a challenge. While calculating the Qibla azimuth using latitude and longitude is relatively straightforward, traditional methods for obtaining the Qibla direction, such as those provided by the Muhammadiyah Central Leadership’s Tarjih Center, are time-consuming and require specialized teams. This paper proposes a recommendation system that uses the K-Nearest Neighbors (K-NN) algorithm to provide an efficient and automated solution for determining the Qibla direction. The system leverages the Google Maps API to obtain geographic coordinates and calculates the Qibla azimuth by applying the Euclidean distance formula between latitude and longitude points. The K-NN method is employed to recommend the nearest mosque or prayer room that is aligned with the correct Qibla direction, based on proximity and geographic data. This approach eliminates the need for a dedicated team and significantly reduces the time required for users to find the correct direction. The system's performance was tested through Black Box testing to ensure all features functioned as expected. User acceptance was measured using the System Usability Scale (SUS), resulting in an average score of 76.33, indicating good usability. Additionally, accuracy testing compared the recommended Qibla direction from 28 mosques and prayer rooms with another established system, yielding an accuracy of 78.57%. These results demonstrate that the proposed K-NN-based recommendation system is both effective and efficient for determining the Qibla direction.
Lama Hidup, Kelulusan Hidup, dan Perilaku Makan Larva Acraea Terpsicore L. (Lepidoptera : Nymphalidae) Pada Tanaman Inang Piriqueta Racemosa Jacq Lamin, Syafrina; Kamal, Mustapa; Junaidi, Endri; Arwinsyah, Arwinsyah; Azhari, Ahmad
Jurnal Penelitian Sains Vol 24, No 2 (2022)
Publisher : Faculty of Mathtmatics and Natural Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (455.995 KB) | DOI: 10.56064/jps.v24i2.687

Abstract

Acraea terpsicore L. (Lepidoptera : Nymphalidae) merupakan salah satu jenis kupu-kupu yang memiliki sebaran terbanyak di Universitas Sriwijaya Indralaya, dan larvanya ditemukan dapat memakan tanaman inang Piriqueta racemosa (Passifloraceae). Tujuan penelitian ini untuk mengetahui lama hidup dan perilaku makan pada A. terpsicore pada tanaman P. racemosa. Penelitian ini dilaksanakan pada bulan Januari sampai dengan bulan Februari 2020 di Rumah Kupu-Kupu Jurusan Biologi Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Sriwijaya Indralaya, Sumatera Selatan. Penelitian lama hidup dan perilaku makan stadia pradewasa (larva) A. terpsicore pada tanaman inang P. racemosa dilakukan menggunakan metode deskriptif dan pengamatan perilaku makan menggunakan metode visual recording yang meliputi: deskripsi morfologi setiap stadia, lama waktu perkembangan setiap stadia, dan perilaku makan larva. Hasil penelitian lama hidup kupu-kupu A. terpsicore dari telur sampai ke imago berlangsung selama 34 – 44 hari dengan rata-rata 38,12 ± 2,34 hari, dengan angka kelulusan hidup sebesar 40%. Perilaku makan larva A. terpsicore pada tanaman inang P. racemosa sangat bervariasi antar
Multinomial Naïve Bayes for Sentiment Analysis of Indonesian's Local Government Performance Azhari, Ahmad; Hadi, Muhammad Saepul
Signal and Image Processing Letters Vol 3, No 2 (2021)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v3i2.22

Abstract

Digitalization of government performance, in conveying information and getting criticism, suggestions, and complaints from the public, is currently being carried out using social media. The use of social media is a form of government responsibility and openness to society. The high number of Twitter users in Indonesia, which reaches 6.43 million, allows the government to get many responses from the public. This background provides an opportunity for the public to be able to measure government performance based on a number of criticisms, suggestions, and complaints that the government responds to. However, public sentiment towards government performance has not been used as an evaluation and benchmark for the government in determining policies. The purpose of this research is to build a social media twitter sentiment analysis system to measure public sentiment towards local government performance by implementing Multinomial Naïve Bayes. This research is divided into several stages including tweet grabbing, manual tweet filtering, tweet labeling, split tweets, preprocessing tweets, term frequency, classification, and evaluation. The tweet retrieval process was carried out on 1 June - 31 July 2020 with 2000 tweets used from the total tweets obtained after manual filtering was carried out. This study shows that the sentiment analysis carried out obtained an accuracy of 80%, a precision of 78%, and a recall of 82%.
Classification of Interests and Talents in Early Adult Phase Based on RMIB Test with Neural Network Azhari, Ahmad; Jaya, Erlangga
Signal and Image Processing Letters Vol 4, No 2 (2022)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v4i2.24

Abstract

The brain in the human body is responsible for regulating the overall work of the human body and mind. The left part of the brain is the center of intelligence or commonly called Intelligence Quotient (IQ).  Intelligence can come from genes received by children from their parents that will continue to develop along with a person's maturity process.  An individual will go through a transition period or transition period, namely in the early adult phase so that individuals in the early adult phase often experience unstable psychic conditions. This labile condition occurs in early adult individuals in this case, namely students who are still not sure what potential interests and talents they have, causing students It felt wrong to take the major. The purpose of this study is to classify interests and aptitudes from EEG data obtained from interviewees with RMIB test stimulus. In this study, testing will be carried out on the object of study where the   object of study is an individual in the early adult phase with an age range between 18-30 years. The test is carried out using a beta signal (12-30 Hz) resulting from an Electroencephalogram (EEG) signal filter generated from recording EEG data with the NeuroSky Mindwave tool and then reduced to get the best value or component with the Principal Component Analysis (PCA) method.  EEG data recording is carried out 3 times with data recording intervals every 14 days. EEG data is   information that we can get from activity waves in the brain, because waves in the brain cannot be observed visually. Testing on this study.  The EEG data obtained will go through the pre-processing stage, namely signal filters and signal reduction   and then will be classified using neural networks with a backpropagation algorithm with Using 1 layer of hidden layer. In this study, the results of the RMIB test carried out by the interviewees were calculated by psychologists (expert judgement) which were used as comparison data or the output produced by the system.   Testing is carried out by cross validation, which is to cross-test each data retrieval. Accuracy testing on the first fetch resulted in an accuracy of 92.8571%, in the second data retrieval it produced an accuracy of 78.571%, in the third data retrieval it resulted in an accuracy of 71.4285% with an average accuracy produced by the system of 80.9523%.
Pitumpanua Community Complaint Service Based on Software Development Life Cycle Arief, Husniah; Azhari, Ahmad
Signal and Image Processing Letters Vol 5, No 3 (2023)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v5i3.97

Abstract

Public services generally only provide suggestion box to people who have complaints. In the ongoing complaints, namely the people use written media (suggestion and complaint boxes) and oral media (face to face with employees). The complaint handling system is not stored in the database which causes the unknown number of complaints that have or have not handled so that the handling of complaints is delayed or skipped. Every complaint that is recorded manually will attack the search for data and is not efficient because complaints must be met directly and do not rule out data being damaged or lost because there is no backup. This study aims to develop a Community Complaint Application in the Pitumpanua District and to find out the results of testing the Community Complaint Application in the Pitumpanua District. This study uses a model waterfall development with data collection techniques using techniques interviews, and questionnaires to measure the feasibility of the device software that has been developed with several Respondentts. System testing in this study uses several standards the quality of software development, namely ISO 25010, among others are functional suitability with good category results, very good usability, portability with good category results, Based on the results research is produced a Complaint Application Development Website-Based Society that can be used to make public complaints and manage the administration of public complaint reports.
Identification of Infant Crying Using Mel-Frequency Cepstral Coefficient (MFCC) and Artificial Neural Network (ANN) Methods Azhari, Ahmad; Destiyanti, Intan
Signal and Image Processing Letters Vol 4, No 3 (2022)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v4i3.70

Abstract

The crying of infants aged 0-3 months can be classified according to their needs, as identified by Dunstan Baby Language, which consists of specific sounds denoting different needs. These sounds include "eairh" for discomfort caused by fart, "neh" indicating hunger, "heh" representing general discomfort, "owh" signaling tiredness or sleepiness, and "eh" expressing the need to burp. The baby crying sound data was obtained from the Dunstan Baby Language (DBL) database, which includes educational videos about infants and a collection of babies crying sounds. These sounds were converted into *.wav audio format and divided into 5-second segments. A total of 188 audio data segments were collected. The research employed the Artificial Neural Network (ANN) classification method and the Mel-Frequency Cepstral Coefficient (MFCC) feature extraction method. The collected data underwent feature extraction, aiming to identify distinctive characteristics using the librosa library in the Python programming language. This process allowed us to obtain specific information from the acquired sound data. The results of this study achieved an accuracy level of 90%. This research contributes to the understanding and classification of infant crying based on the Dunstan Baby Language, offering insights into their various needs. The implementation of ANN and MFCC techniques showcases the effectiveness of this approach in accurately classifying infant cries and provides a foundation for further research in the field of infant communication.
Analysis the Effects of Games on Cognitive Activity of Late Adolescents Using the Electroencephalogram with the K-Nearest Neighbor Method Azhari, Ahmad; Swara, Ajie Kurnia Saputra
Signal and Image Processing Letters Vol 2, No 1 (2020)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v2i1.20

Abstract

The influence of violent video games on child development continues to be a polemic, Various pros and cons also color this problem, because in adolescence not only adopt cognitive abilities in learning activities, but also various strategies related to managing activeness in learning, playing and socializing to improve cognitive abilities.  Adolescents who are addicted to online games are included in the three criteria set by WHO (Word Health Organization), namely that they need games with symptoms of withdrawing from the environment, losing control, and not caring about other activities (Santoso and Purnomo, 2017).  The purpose of this study is to analyze the cognitive activity of late adolescence between learning and playing games and knowing that games can have a good or bad impact on the cognitive activity of adolescents. The application of the K-Nearest Neighbor method to the system created can classify with prediction results on the influence of games on the cognitive activity of adolescents using Electroencephalogram (EEG) data and can also provide information in the form of new predictions on the respondent data obtained. The results of the analysis resulted in a percentage of accuracy in the game stimulus data of 80%, and in the cognitive stimulus data, namely SPM, it got an accuracy of 80% using the same K value in both stimuli, namely 1, 6, and 7. While the expert results on the system the percentage of superior but addicted respondents was 63.3% and the percentage of respondents who were average but addicted was 36.6% with a correlation rate between Games and SPM of 0.089822409. Based on the results of this study, it can be concluded that the percentage obtained from the comparison of the results of the expert to the results of the system and the comparison of the system itself does not have the influence of games on cognitive activity in late adolescence.
UAD Lecturer's Introductory System Through Surveillance Cameras with Eigenface Method Azhari, Ahmad; Sahadi, Syah Reza Pahlevi
Signal and Image Processing Letters Vol 4, No 1 (2022)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v4i1.23

Abstract

Technologies related to processing using computers are developing so rapidly, such as applications to identify a person automatically through camera monitors (CCTV). The human recognition application in real time can be found in the surveillance system, identification and facial recognition. The direct observation of human beings has a weakness such as fatigue and saturation that may occur, resulting in decreased accuracy. For that, computer can be an alternative solution to overcome it. For example, the human Face Recognition (Eigenface) detection system. This system can be very helpful when you want to find and know the existence of someone in a place, for example to help in finding the existence of lecturers on campus. Students often seek lecturers to conduct guidance or for other academic matters, but students often do not know whether the lecturers sought on campus or not. Therefore, in this research an application will be made to help students in knowing the existence of lecturers on campus. This final project examines the system to recognize lecturers who are on campus using CCTV. The method used is eigenface. Eigenface is one of the facial pattern recognition algorithms based on the Principle Component Analysis (PCA). The basic principle of facial recognition is to cite the unique information of the face and then be encoded and compared with the previously done decode result. The process itself consists of data collection and facial recognition processes. In the process of collecting data, the data taken in the form of the name and the image of the lecturer will be used as a database to recognize the face of the lecturer. While the facial recognition process is the process by which the face of the lecturer who has been caught by the camera will be compared with the database that has been taken to recognize the lecturer. From the research done can be concluded that there are several factors that affect the accuracy of the system including the distance of the camera sensor with the most effective object is 1 to 2 meters, the intensity of bright or dim light, the face positioning and Number of datasets owned. The test results obtained an accuracy of 89%.
Co-Authors Abbas, Moch Anwar Adhi Prahara, Adhi Adys, Himala Praptami Affan, Dhava Chairul Agus Aktawan, Agus Ahmad Barizi Ali, Raden Muhammad Ammattulloh, Fathia Irbati Ammatulloh, Fathia Irbati Ammatulloh, Fathia Irbati Anantatama, Surya Andi Kamariah Arief, Husniah Arif Wirawan Muhammad Arwinsyah Arwinsyah, Arwinsyah Asfah, Indrawaty Ashabul Kahfi Susanto Asriati Ayu .H, Sendi Sandra Azhari, Cindy Azwar Abbas Bakri Muhammad Bakhiet Budiarti, Gita Indah Citra Prasiska Puspita Tohamba, Citra Prasiska Puspita Danial Hilmi Darmawansyah Alnur, Rony Darmiany Destiyanti, Intan Dharma Ariawan, Ade Djumhur, Adang Dwi Hastuti Dwi Normawati, Dwi Dwiza Riana Dzaki , Arif Rahman Edy Setyawan Eirene, Jessica Endo, Hiroyuki Endri Junaidi, Endri Enok Sureskiarti Fadlansyah, Holy Faizah Faizah Fariza, Riska Fauzan Hari Sudding Fika Novatiana Foozy, Cik Feresa Mohd Furizal, Furizal Gesbi Rizqan Rahman Arief Hadi Saputra Hadi, Muhammad Saepul Hafizh, Achmad Nur Hafizh, Muhammad Naufal Hajar, Andi Hardianti Hardianti, Hardianti Hewiz, Alya Shafira Himala Praptami Adys Husniati Husniati, Husniati Imam Riadi Insan Kamil Sinaga Ismail Ismail Jamilah Jamilah Jaya, Erlangga Jefree Fahana Kamal, Mustapa Kamal, Sofia Kamariah, Andi Kartoirono, Suprihatin Khosyi'ah, Siah Kusaka, Satoshi Kyswantoro, Yunita Firdha Lubis, Dhian Wahyudi Mahmuddin Adriansyah Milkhatun, Milkhatun Muhammad Fahri Jaya Sudding Muhammad Kunta Biddinika Murein Miksa Mardhia Musdalifah Musdalifah Musdalifah Nabila, Ai Negara, Candra Putra nisa, Anisa Shahratul Jannah Nugroho, Prasetiyanto Nur Fatimah Nur Robiah Nofikusumawati Peni Nurfitrah Nuril Anwar, Nuril Octaviantara, Adi Pangistu, Lalu Arfi Maulana Purnaramadhan, Riza Putri, Zelza Alifvia Samudera RAMADAN, RIZKY Robin, Qori Aulia Rosyid A.A, Achmad Rully Charitas Indra Prahmana Safitri, Bunga Safitri, Citra Dwi Sahadi, Syah Reza Pahlevi Sembiring, Surya Anantatama Seny Luhriyani Sunusi Seny Luhriyani Sunusi Setiawan, Dimas Aji Son Ali Akbar Soviyah Sudding, Muhammad Fahri Jaya Sugianto Sugianto Suhail, Faiq Surya Anantatama Sembiring Suryanto, Imam Suryanto, Indra Susanto, Ashabul Kahfi Swara, Ajie Kurnia Saputra Syaefullah, Syaefullah Syafatullah, Muhammad Rafli Syafrina Lamin, Syafrina Syahriyah, Shilfia Fadhilatul Syuhadak Syuhadak Tanikawa, Kanako Topani, Muhammad Alfikri Maida Tuti Purwaningsih, Tuti Wardoyo, Girindra Sulistiyo Zaman, Azmi Badhi'uz Zaman, Azmi Badhi’uz