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All Journal Jurnal Media Infotama Jurnal Teknologi JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Ilmiah Sinus Jurnal Informatika Global Jurnal Kridatama Sains dan Teknologi Building of Informatics, Technology and Science Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jurnal Teknologi Dan Sistem Informasi Bisnis REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) JUKI : Jurnal Komputer dan Informatika Infotech: Journal of Technology Information Journal of Computer Networks, Architecture and High Performance Computing Jurnal Restikom : Riset Teknik Informatika dan Komputer JOURNAL SCIENTIFIC OF MANDALIKA (JSM) Jurnal Ilmiah Wahana Pendidikan Jurnal Pengabdian kepada Masyarakat Bulletin of Computer Science Research KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Media Informatika Bulletin of Information Technology (BIT) International Journal Software Engineering and Computer Science (IJSECS) Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB Jurnal Informasi Sains dan Teknologi (ISAINTEK) Jurnal Ilmu Komunikasi Dan Media Jurnal Informatika Teknologi dan Sains (Jinteks) Formosa Journal of Computer and Information Science Jurnal Teknik Mesin, Industri, Elektro dan Informatika Jurnal Penelitian Rumpun Ilmu Teknik SABAJAYA Jurnal Pengabdian Kepada Masyarakat Jurnal Lentera Pengabdian Kohesi: Jurnal Sains dan Teknologi Jurnal Pelita Pengabdian SAINTEK Dedikasi : Jurnal Pengabdian Lentera Cahaya Pengabdian
Abdul Halim Anshor
Universitas Pelita Bangsa
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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Pemanfaatan Desain Banner Guna Meningkatkan Ketertarikan Konsumen Pada UMKM Penjualan Pedagang Kaki Lima di Kampung Jarakosta Novianti, Annisa Dwi; Anshor, Abdul Halim
Jurnal Pelita Pengabdian Vol. 2 No. 2 (2024): Juli 2024
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/jpp.v2i2.4654

Abstract

Desain banner yang efektif memiliki peran penting dalam menarik perhatian konsumen dan meningkatkan penjualan, terutama bagi usaha mikro, kecil, dan menengah (UMKM) seperti pedagang kaki lima. Penelitian ini bertujuan untuk menganalisis pemanfaatan desain banner guna meningkatkan ketertarikan konsumen pada UMKM penjualan pedagang kaki lima di Kampung Jarakosta. Melalui metode penelitian kualitatif, data dikumpulkan melalui observasi langsung dan wawancara mendalam dengan para pedagang serta konsumen di kawasan tersebut. Hasil penelitian menunjukkan bahwa penggunaan desain banner yang menarik, informatif, dan sesuai dengan preferensi konsumen dapat meningkatkan visibilitas dan daya tarik lapak pedagang kaki lima. Selain itu, desain yang mencolok dan mudah dibaca dari jarak jauh terbukti efektif dalam menarik perhatian konsumen potensial. Implikasi dari penelitian ini menunjukkan bahwa pemahaman yang lebih baik tentang elemen desain grafis dan preferensi konsumen dapat membantu UMKM dalam merancang strategi pemasaran yang lebih efektif.
Edukasi Dampak Sosial Media di Zaman Digitalisasi Terhadap Tumbuh Kembang Perilaku Anak SMPN 1 Cikarang Selatan ajizah, imah rotul; Anshor, Abdul Halim
Jurnal Pelita Pengabdian Vol. 2 No. 2 (2024): Juli 2024
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/jpp.v2i2.4663

Abstract

Tujuan dari pengabdian ini adalah untuk mengevaluasi bagaimana penggunaan media sosial berdampak pada perilaku siswa di SMPN 1 Cikarang Selatan. KKP (Kuliah Kerja Praktek) adalah pendekatan yang melibatkan wawancara, dan penyampaian materi kepada siswa. Hasil program pengabdian ini memberikan gambaran lengkap tentang cara penggunaan media sosial, preferensi platform, dan bagaimana hal-hal ini memengaruhi perilaku siswa. Hasilnya menunjukkan bahwa media sosial memiliki dampak yang signifikan, baik secara positif maupun negatif, terhadap perilaku siswa. Penggunaan media sosial yang tidak terkontrol dapat mengganggu konsentrasi siswa dan meningkatkan kemungkinan mereka melakukan sesuatu yang tidak mereka inginkan. Oleh karena itu, pengabdian ini menekankan pentingnya mengedukasi penggunaan media sosial yang bijak oleh siswa untuk mengurangi efek negatifnya dan meningkatkan manfaatnya untuk kemajuan mereka di era digital ini.
Meningkatkan Pengetahuan Branding UMKM Makanan dengan Pemanfaatan Teknologi Artificial Intelligence Anshor, Abdul Halim; Sulaeman, Asep Arwan; Rezeki, Fitri; Raharjo, sugeng budi
Jurnal Pelita Pengabdian Vol. 2 No. 2 (2024): Juli 2024
Publisher : DPPM Universitas Pelita Bangsa

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

Abstract

Micro, small, and medium enterprises (MSMEs) in the food sector are one of the important sectors in the Indonesian economy. However, many food MSMEs still face branding obstacles, making it difficult to compete in the market. Artificial intelligence (AI) technology can help improve brand knowledge for food MSMEs. This study aims to expand the brand knowledge of food MSMEs through the use of AI technology. This study was conducted using a seminar activity method as a form of socialization and assistance for partners. Training and assistance focused on the use of AI tools for branding such as, Social media analysis which aims to understand customer sentiment and market trends. Chatbots to provide better customer service and increase sales conversions. Targeted advertising aims to reach the right customers with the right message. Research shows that training and assistance using AI technology can significantly improve the brand knowledge of food MSMEs. This study contributes to expanding knowledge about food branding of MSMEs in Indonesia. The results of this study can be used by other food MSMEs to increase their competitiveness in the market.
Analisis Resiko Transformasi Mobil Berbahan Minyak ke Mobil Listrik Dengan Decision Tree Anshor, Abdul Halim; Rahardjo , Sugeng Budi
Bulletin of Information Technology (BIT) Vol 4 No 4: Desember 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v4i4.924

Abstract

The development of the world of transportation has increased rapidly, this is marked by the emergence of electric cars. The changes experienced by society are so fast to switch from fuel cars to electric cars. Electric cars have various advantages of being environmentally friendly, not producing pollutant gas emissions, being faster, cost-effective and more comfortable. In addition to the advantages provided there are also several risks from the transformation of oil-fueled (bbm) cars into electric cars including expensive car prices, charging infrastructure, shorter mileage, electric car batteries have a limited lifespan. This study aims to analyze the risk mitigation of transforming oil-fueled cars into electric cars. In this case study, the researcher uses two kinds of attributes, namely the price of the car and the emissions it produces. The method used is to calculate each gain information from the attribute used by looking at the highest gain value, it will be known how big the risk is for the transformation of oil-fueled cars (bbm) to electric cars. and what factors (attributes) most determine the risk. . It is hoped that this research can help electric car developers and entrepreneurs to continue to improve the performance of existing electric cars.
Pelatihan Microsoft Excel Pada Lulusan SMK 11 Maret Untuk Meningkatkan Kemampuan Administrasi Perkantoran Anshor, Abdul Halim; Sarikun, Ahmad Nurdien; Pratama, Hendri; Rifqi, Ifan Aly; Susilo, Hendrik Ardhi; Rafiandi, Junian; Zakaria, Nur Fajar
Dedikasi: Jurnal Pengabdian Lentera Vol. 1 No. 05 (2024): Juni 2024
Publisher : Lentera Ilmu Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59422/djpl.v1i05.405

Abstract

Faktor utama penyebab rendahnya kemampuan pengolah data siswa adalah kesulitan yang mereka hadapi saat menggunakan Microsoft Excel, yang merupakan salah satu program pengolah data. Tujuan dari kegiatan pelatihan adalah agar peserta memahami materi yang diberikan secara menyeluruh dan dapat menggunakannya di tempat kerja. Selain itu, mereka harus memiliki kemampuan untuk menggunakan Microsoft Excel. Kegiatan ini dilaksanakan melalui penerapan di laboratorium komputer, tutorial (pendampingan) menggunakan modul Microsoft Excel 2010, diskusi, dan tanya jawab. SMK 11 MARET BEKASI adalah populasi siswa angkatan 2023 yang akan diwisuda, dan kegiatan ini dilakukan di Laboratorium sekolah. Berdasarkan kegiatan yang dilakukan, diketahui bahwa dari 44 orang peserta, sebagian besar bersedia untuk mengikuti pelatihan tersebut. Dari 44 orang yang berpartisipasi, lima puluh empat persen mendapatkan nilai yang sangat baik, dua puluh lima persen mendapatkan nilai yang sangat baik, dan dua puluh lima persen mendapatkan nilai yang cukup
Sosialisasi Pengembangan Sistem Terdistribusi Untuk Peningkatkan Keamanan Data dan Komunikasi umah, Nadiatul; Yudanto , Faisal Arya; Anggraeni , Tatia Deswita; Dita , Silvi Fara; Safrudin , Nurkholik; Anshor, Abdul Halim
Dedikasi: Jurnal Pengabdian Lentera Vol. 1 No. 05 (2024): Juni 2024
Publisher : Lentera Ilmu Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59422/djpl.v1i05.406

Abstract

Keamanan data dan komunikasi dalam era digital yang semakin maju sangat penting, terutama di lingkungan pendidikan seperti kampus. Salah satu cara yang efektif untuk meningkatkan keamanan dan aksesibilitas data di kampus adalah membangun sistem terdistribusi. Namun, mahasiswa, karyawan, dan fakultas seringkali tidak menyadari atau memahami sistem terdistribusi. Tujuan penelitian ini adalah untuk mengetahui seberapa efektif sosialisasi pengembangan sistem terdistribusi di lingkungan kampus dalam meningkatkan pemahaman dan adopsi teknologi ini. Kami mengumpulkan data dari 200 responden yang berada di berbagai fakultas dan departemen di Universitas UPB. Tujuan dari survei dan wawancara ini adalah untuk mengukur tingkat kesadaran, sikap, dan keinginan untuk menggunakan sistem terdistribusi baik sebelum maupun setelah sosialisasi.
Implementation of Data Mining for Speech Recognition Classification of Sundanese Dialect Using KNN Method with MFCC Feature Extraction Shandy, Ery; Anshor, Abdul Halim; Ardiatma, Dodit
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 3 (2024): Articles Research Volume 6 Issue 3, July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i3.4226

Abstract

The importance of preservation and development of speech recognition technology for regional languages such as Sundanese, which have unique phonetic characteristics. Regional language speech recognition can assist in the development of local, educational, and cultural preservation applications to implement and evaluate the effectiveness of the combination of MFCC and KNN methods in classifying Sundanese dialect speech recognition. Methods used include trait extraction with MFCC, which converts voice data into numerical representations based on frequency characteristics, and classification with KNN, which groups data based on similarity to train data. The Dataset used consisted of speech recordings of Western and Southern Sundanese dialects. The results showed that the k-Nearest Neighbors (KNN) method can classify Sundanese dialect speech recognition with an accuracy of 80.00%, showing good ability in distinguishing "Western" and "southern" dialects. Mel-Frequency Cepstral Coefficients (MFCC) proved to be very effective in extracting sound features, helping KNN achieve low error rates. The combination of MFCC and KNN proved effective for speech recognition classification of Sundanese dialects, providing satisfactory results with high accuracy.
Social Media Analysis for Effective Information Dissemination and Promotions Using TOPSIS Latifah Nurhasanah, Reka Hani; Anshor, Abdul Halim; Muhidin, Asep
Journal of Applied Informatics and Computing Vol. 8 No. 1 (2024): July 2024
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v8i1.7863

Abstract

Social media has become an essential tool for spreading news and promotions. This research aims to evaluate the effectiveness of using social media as a strategy for disseminating information and promoting products using the TOPSIS method. Initial data was collected from a survey of social media users. The data was gathered through questionnaires distributed to various groups, including students, entrepreneurs, and office workers. The TOPSIS method was used to analyze the data and identify the most effective social media channels for information dissemination and promotion. The findings indicate that Facebook is the most effective platform for disseminating information, followed by Instagram and Twitter. Conversely, Instagram is the most effective platform for content promotion, followed by Facebook and YouTube. This study has significant implications for businesses and organizations that use social media for information dissemination and promotions. The TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method was used to evaluate and rank platforms based on criteria such as reach, accessibility, topicality, ease of use, creativity, informativeness, adaptability, transactionability, and security. The results show that TikTok is the best social media platform with the highest preference score of 0.755, followed by Facebook in second place, Instagram in third place, Twitter in fourth place, Telegram in fifth place, and YouTube in sixth place.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN RUMAH TINGGAL MENGGUNAKAN METODE TOPSIS Wibowo, Mohamad Hegar Sukmana; Ayubi, Muhammad Din Al; Albedri, Muhammad; Fermana, Yudi; Anshor, Abdul Halim
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 6 No 4 (2024): EDISI 22
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v6i4.5012

Abstract

Choosing a residential property is a complex decision involving multiple criteria such as price, location, facilities, and risks. To assist potential buyers in making more objective decisions, this research developed a Decision Support System (DSS) using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. TOPSIS is employed to process various criteria and rank housing alternatives based on their proximity to the ideal solution. The results demonstrate that this system effectively provides recommendations that align with user preferences, with location and price being the dominant factors. The implementation of TOPSIS is expected to improve user satisfaction and reduce dissatisfaction risks in residential property selection.
Scheduling Algoritma di Sistem Operasi Real-Time Arie Miftah Budiman; Moh. Restu Nur Rizki; Ridwan Ahri; Rafi Suswidia; Abdul Halim Anshor
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 4 No. 3 (2025): Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v3i4.4565

Abstract

Real-time operating systems (RTOS) are critical components in various applications requiring rapid response times and high precision, such as in the automotive, medical, and telecommunications industries. Scheduling algorithms in these systems function to allocate CPU time for task execution according to priority, ensuring each task is completed before its deadline. This study aims to evaluate key algorithms, such as Rate Monotonic Scheduling (RMS), Earliest Deadline First (EDF), and heuristic-based algorithms, to identify the most effective method in meeting real-time system requirements. Based on literature analysis, RMS and EDF each exhibit advantages in specific scenarios, while hybrid algorithms show potential for further development.
Co-Authors Abdul Ghofar Abiyyu, Muhammad Dzaki Achmad, Ivan Faturrochman Adi Kurniawan Afriantoro, Irfan Agung Nugroho Aguswin, Ahmad ajizah, imah rotul Akromusyuhada, Akhmad Al Godzali, Galva Albedri, Muhammad Amali Amali Amartha, Alif Nur Fathlii Anas, Muhamad Abdul Anggara, Bastian Anggraeni , Tatia Deswita Ansyah, Ery Argiansah P, Rieval Arie Miftah Budiman Asep Muhidin Assidiki, Hasbi Aswan Supriyadi Sunge Athallah , Rafif Isdarufa Ayubi, Muhammad Din Al Badrul Munir, Badrul Bina, Sabina Oktaviani Hermilia Butsianto, Sufajar Clarita, Anggita Risqi Nur Danuyasa, Abiyanfaras Darmawan, Diki Dendy K. Pramudito Dita , Silvi Fara Dita, Silvi Fara Djawas, Fathia Wardah S. Dodit Ardiatma Edora Edora Edy Widodo Edy Widodo Erdi Erianto, Erick Erikasari, Vivie Zuliani Fadhillah, Faizah Via Fadillah, Muhammad Zidan Farrasanto, Akram Fatchan, Muhammad Fauzi Ahmad Muda Febri Tri Arie Sakti Ferdiansyah, Febby Fermana, Yudi Fernanda, Arif Fiqih Alfiansyah Zahari Ghufron Malik Harits, Dalhats Abiyyu Idzal Hary Alfarizi Hasbiallah, Muhammad Herisaputra, Rizky Igel Huda, Miftakul Irawan, Teddy Kholid Wahyudi Kinasih, Sekar Latifah Nurhasanah, Reka Hani Lubis, Birrham Efendi Maharani, Tyanshi Firli Maulana, Donny Maulana, Fariz Mawabagja, Dico Miftahul Huda Mochammad Imron Awalludin Moh. Restu Nur Rizki Muhamad Fatchan Muhamad Ridwan Muhammad Abdul Rahman Wahid muhidin, asep Mujizat, Hafidza Dafariz Mulqiya, Wafha Zahra Najamuddin Dwi Miharja, Muhammad Novianti, Annisa Dwi Novitasari, Aas Nugraha, Rhendy Diki Nugroho, Azwar Anas Agung Nugroho, Irvan Nuraini, Fadilah Nurcahyo, Danang Nurcholilah Nurcholilah Nurhadi Surojudin Nurhaliza, Zahra Oktavianti, Risma Nadia Perdana, Maulana Zidan Pertiwi Dwi Ningsih Prasetya, Ferdyana Eka Pratama, Hendri Purwanti purwanti, purwanti PUTRI, TIARA Raehan, Muhamad Rafi Suswidia Rafiandi, Junian Rahardjo , Sugeng Budi Rahardjo, Sugeng Budi Raharjo, sugeng budi Rahayu, Nia Dwi Rahma, Syifa Aurellia Rahman, Farjul Ramadhani, Faiz Dzaki Respiar, Boby Retno Purwani Setyaningrum Ridwan Ahri Rifqi, Ifan Aly Rismawati Sadewo, Riski Probo Safrudin , Nurkholik Safrudin, Nurkholik Saputra, Wisnu Ikhwansyah Sarikun, Ahmad Nurdien Shandy, Ery Sianturi, Feibert Sihombing, Johanes Mula Febrian Sugeng Budi Rahardjo Suherman Suherman Sulaeman, Asep Arwan Susilo, Hendrik Ardhi Syahrul Gunawan Taryadi Taryadi Tedi, Nanang Tri Ngudi Wiyatno umah, Nadiatul Valerian, Kumara Davin Wahyu Hadikristanto Wangsadanureja, Miftah Wibowo, Mohamad Hegar Sukmana Wilianto Wilianto Windi Windi, Windi Wiyanto Wiyanto Yudanto , Faisal Arya Zakaria, Nur Fajar Zulaeha Zulaeha Zy, Ahmad Turmudi