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All Journal International Journal of Applied Power Engineering (IJAPE) Transmisi: Jurnal Ilmiah Teknik Elektro HUMANIKA KALAM CENDEKIA PGSD KEBUMEN ART EDUCARE Pendidikan Seni Rupa Jurnal Anestesi Perioperatif Jurnal Produksi Tanaman CEMARA Jurnal IPTEK JURNAL EKOLOGI BIROKRASI Padjadjaran Journal of Dentistry Sinkron : Jurnal dan Penelitian Teknik Informatika Majalah Pembelajaran Geografi J-SAKTI (Jurnal Sains Komputer dan Informatika) JISIP: Jurnal Ilmu Sosial dan Pendidikan Pena Justisia: Media Komunikasi dan Kajian Hukum Ijtihad The Indonesian Journal of Social Studies Journal of the Indonesian Medical Association : Majalah Kedokteran Indonesia Journal of Robotics and Control (JRC) Science Midwifery Majalah Ilmiah Dian Ilmu Sriwijaya Journal of Informatics and Applications Among : Jurnal Pengabdian Masyarakat MEDIA BISNIS Jurnal Agama Buddha dan Ilmu Pengetahuan J-SAKTI (Jurnal Sains Komputer dan Informatika) Indonesian Journal of Innovation Studies International Journal on Advanced Technology, Engineering, and Information System (IJATEIS) Jurnal Riset Fisika Indonesia Abdimas Indonesian Journal Jurnal Mekar Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Sewagati Jurnal Pendidikan dan Pengabdian Masyarakat Bulletin of Network Engineer and Informatics (BUFNETS) Neraca: Jurnal Ekonomi, Manajemen dan Akuntansi International Conference on Education for All GLOBAL: Jurnal Lentera BITEP Jurnal Bakti Masyarakat Manajemen Indonesian Journal of Islamic Law (IJIL) Cahaya Pengabdian Jurnal Legislasi Indonesia Jurnal Geosaintek
Adi Kurniawan
Jurusan Teknik Sistem Perkapalan, ITS
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Naïve Bayes Klasifikasi untuk Rekomendasi Strategi Promosi Tindakan pada Aesthetic Dental Clinic Karawang Utami, Dwiarti Rahma; Kurniawan, Adi; Enri, Ultach
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 2 (2021): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i2.360

Abstract

Aesthetic Dental Clinic is one of clinic in Karawang. To keep old patients and attract new patients visiting Aesthetic Dental Clinic, it is necessary to develop a new marketing strategy in promotion. The metodh of data mining classification can be used to help determine promotional strategies to attract customers. The Naïve Bayes algorithm can be helpful to predict customer interest based on promos given by the ADC Clinic (Aesthetic Dental Clinic). The Naïve Bayes algorithm is a data mining classification algorithm that can be used to support an effective and efficient promotion strategy. The result of this research is the application of the data mining algorithm, namely Naïve Bayes, which can provide important information such as prediction results in an effort to attract customer interest. The data used in this study is customer data from October 2020 - November 2020. The accuracy value generated by Naïve Bayes using Rapid Miner was 31.74% and the result of kappa value was 0.183. With the accuracy value obtained, it is hoped that it can help to support promotional strategies that have an impact on the effectiveness and efficiency of promotions and can increase the number of new customers.
Klasifikasi Teks Mining Terhadap Analisa Isu Kegiatan Tenaga Lapangan Menggunakan Algoritma K-Nearest Neighbor (KNN) Ajijah, Nur; Kurniawan, Adi; Susilawati, S
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 1 (2023): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i1.589

Abstract

Information and communication technology at this time is developing very rapidly, including in the easier dissemination of information. With the sophisticated technology in conveying information, it is possible that there is information that is not certain of its truth. The issue that occurs is due to the discrepancy of expectations expected by distributors, kiosks, and farmers.  The amount of issue data obtained greatly affects the efficiency of the results that will be obtained. Therefore, it is necessary to have a text analysis  to find out the issues spread in the field regarding the services of products and services provided by PT XYZ. In this study, it applied the CRISP-DM research stages and the application of the K-Nearest Neighbor (KNN) algorithm  which showed that the resulting accuracy rate was 93.88% with data of 2,500 data. And the highest precission value is obtained by the payment qualification of 98.67%.
Rancang Bangun Sistem Penjualan Sate Taichan Berbasis Web Mulyadien, Muhamad Khandava; Kurniawan, Adi; Utami, Dwiarti Rahma; Enri, Ultach
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i1.429

Abstract

An e-commerce Website is a Website to aims to sell one or more goods or services by using electronic media as a media for the transaction of goods/services. Taichandel is a food outlet that sells a variety of foods,  Aim of this research to solve the problem that occurs at the Taichandel because  the transaction of  this outlet still manual.  The metodh of this research using waterfall metodh, this metodh is used to  develop the software start with analytic, design, code until testing. The results of this research is  design system and system implementation with programming languages as html, php and database MySQL.  Benefit of this research is this information system can help the process of managing data related to the Taichandel Store and speed up the process of buying, selling and selling transactions  and also the owners  can check  the transaction reports because all store data is stored in the database so as to maximize sales evaluation and minimize loss of sales data.
Naïve Bayes Klasifikasi untuk Rekomendasi Strategi Promosi Tindakan pada Aesthetic Dental Clinic Karawang Utami, Dwiarti Rahma; Kurniawan, Adi; Enri, Ultach
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 2 (2021): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i2.360

Abstract

Aesthetic Dental Clinic is one of clinic in Karawang. To keep old patients and attract new patients visiting Aesthetic Dental Clinic, it is necessary to develop a new marketing strategy in promotion. The metodh of data mining classification can be used to help determine promotional strategies to attract customers. The Naïve Bayes algorithm can be helpful to predict customer interest based on promos given by the ADC Clinic (Aesthetic Dental Clinic). The Naïve Bayes algorithm is a data mining classification algorithm that can be used to support an effective and efficient promotion strategy. The result of this research is the application of the data mining algorithm, namely Naïve Bayes, which can provide important information such as prediction results in an effort to attract customer interest. The data used in this study is customer data from October 2020 - November 2020. The accuracy value generated by Naïve Bayes using Rapid Miner was 31.74% and the result of kappa value was 0.183. With the accuracy value obtained, it is hoped that it can help to support promotional strategies that have an impact on the effectiveness and efficiency of promotions and can increase the number of new customers.
Klasifikasi Teks Mining Terhadap Analisa Isu Kegiatan Tenaga Lapangan Menggunakan Algoritma K-Nearest Neighbor (KNN) Ajijah, Nur; Kurniawan, Adi; Susilawati, S
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 1 (2023): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i1.589

Abstract

Information and communication technology at this time is developing very rapidly, including in the easier dissemination of information. With the sophisticated technology in conveying information, it is possible that there is information that is not certain of its truth. The issue that occurs is due to the discrepancy of expectations expected by distributors, kiosks, and farmers.  The amount of issue data obtained greatly affects the efficiency of the results that will be obtained. Therefore, it is necessary to have a text analysis  to find out the issues spread in the field regarding the services of products and services provided by PT XYZ. In this study, it applied the CRISP-DM research stages and the application of the K-Nearest Neighbor (KNN) algorithm  which showed that the resulting accuracy rate was 93.88% with data of 2,500 data. And the highest precission value is obtained by the payment qualification of 98.67%.
Rancang Bangun Sistem Penjualan Sate Taichan Berbasis Web Mulyadien, Muhamad Khandava; Kurniawan, Adi; Utami, Dwiarti Rahma; Enri, Ultach
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i1.429

Abstract

An e-commerce Website is a Website to aims to sell one or more goods or services by using electronic media as a media for the transaction of goods/services. Taichandel is a food outlet that sells a variety of foods,  Aim of this research to solve the problem that occurs at the Taichandel because  the transaction of  this outlet still manual.  The metodh of this research using waterfall metodh, this metodh is used to  develop the software start with analytic, design, code until testing. The results of this research is  design system and system implementation with programming languages as html, php and database MySQL.  Benefit of this research is this information system can help the process of managing data related to the Taichandel Store and speed up the process of buying, selling and selling transactions  and also the owners  can check  the transaction reports because all store data is stored in the database so as to maximize sales evaluation and minimize loss of sales data.
Analysis of Pavement Damage Types on Provincial Roads in the Madura Region Kurniawan, Adi; Patriadi, Andi; Sajiyo, Sajiyo
INTERNATIONAL JOURNAL ON ADVANCED TECHNOLOGY, ENGINEERING, AND INFORMATION SYSTEM Vol. 4 No. 1 (2025): FEBRUARY
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/ijateis.v4i1.1576

Abstract

Roads play a crucial role in fostering economic development and facilitating transportation within communities. However, in the Madura region, issues such as cracks, potholes, and raveling are frequently observed, posing challenges to road quality and safety. This study aims to investigate the prevalent types of road defects in this area in order to inform better infrastructure planning and management. To achieve this objective, the research focused on provincial roads in the Madura region, utilizing a combination of field surveys and questionnaires with road users in Pamekasan. The findings of the study highlighted cracks, potholes, and grain detachment as the most commonly observed forms of road damage in the region. These results are essential for guiding decision-making processes related to road maintenance and repair, ultimately enhancing the efficiency and quality of road infrastructure. The insights gained from this study offer valuable guidance for policymakers and stakeholders involved in road infrastructure development. Recommendations arising from the research include prioritizing the management of road damage, ensuring adequate budget allocation for repairs, and implementing regular maintenance practices to prevent deterioration.
Advances Systematic Literature Review (SLR): Kemajuan Teknik Lapisan Semprot Pada Sel Surya Ditinjau dari Aspek Efisiensi dan Prospek Komersialisasi Kurniawan, Adi; Indriawati, Anisa
Jurnal Riset Fisika Indonesia Vol 5 No 1 (2024): Desember 2024
Publisher : Jurusan Fisika, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jrfi.v5i1.5713

Abstract

This systematic review examines recent developments in spray-coated solar cells through analysis of 127 peer-reviewed studies (2019-2024). Our findings highlight significant advances in ultrasonic spray techniques, achieving thickness variations of ±2.5% and perovskite-based device efficiencies reaching 21.7%. Large-scale implementation demonstrated successful coating areas of 1.5 m² while maintaining 90% of lab-scale performance. Despite promising results, stability remains challenging, with typical efficiency losses of 15-20% over 1000 hours. Current trends suggest commercial viability within 3-5 years, contingent upon advances in materials and processing techniques.
Pelatihan Mikrokontroler untuk Peningkatan Kompetensi Siswa SMKN 3 Surabaya Kurniawan, Adi; Sarwito, Sardono; Kusuma, Indra R.; Koenhardono, Eddy S.; Prananda, Juniarko
Sewagati Vol 9 No 1 (2025)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j26139960.v9i1.2442

Abstract

Otomatisasi merupakan tuntutan di era saat ini. Kemampuan untuk memprogram kontroler untuk melakukan kerja secara otomatis, sangat dibutuhkan baik untuk bekerja di industri maupun berwirausaha yang mengandalkan teknologi. Secara umum, banyak lulusan SMK yang langsung bekerja maupun berwirausaha setelah lulus dari SMK. Oleh karena itu keterampilan memprogram kontroler secara otomatis sangat dibutuhkan. Solusi yang diberikan adalah dengan melakukan pelatihan mikrokontroler arduino untuk para siswa SMKN 3 Surabaya. Instruktur pelatihan adalah mahasiswa dengan tujuan memberi pengalaman kepada mahasiswa sekaligus agar siswa SMK lebih nyaman untuk berdiskusi karena kedekatan usia. Para siswa yang sebelum kegiatan pelatihan belum mengenal arduino, menjadi dapat memprogram arduino untuk aplikasi sederhana berupa penggunaan sensor gas, air, dan jarak.
Enhanced Precision Control of a 4-DOF Robotic Arm Using Numerical Code Recognition for Automated Object Handling Sukri, Hanifudin; Ibadillah, Achmad Fiqhi; Thinakaran, Rajermani; Umam, Faikul; Dafid, Ach.; Kurniawan, Adi; Morshed, Md. Monzur; Kurniawan, Denni
Journal of Robotics and Control (JRC) Vol. 6 No. 1 (2025)
Publisher : Universitas Muhammadiyah Yogyakarta

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

Abstract

This research develops a 4-DOF robotic arm system that utilizes numerical codes for accurate, automated object handling, supporting advancements in sustainable industrial automation aligned with the UN Sustainable Development Goals (SDGs), particularly Industry, Innovation, and Infrastructure (SDG 9). Key contributions include the integration of EasyOCR for reliable code recognition and a control mechanism that enables precise positioning. The robotic system combines a webcam for visual sensing, servo motors for movement, and a gripper for object manipulation. EasyOCR effectively recognizes numerical codes on randomly positioned objects against a uniform background while the microcontroller calculates servo angles to guide the arm accurately to target positions. Testing results show a success rate exceeding 94% for detecting codes 1 to 4, with minor servo angle errors requiring adjustments in arm extension by 30 mm to 50 mm. Positional error analysis reveals an average error of less than 1.5 degrees. Although environmental factors like lighting can influence code visibility, this approach outperforms traditional methods in adaptability and precision. Future research will focus on enhancing code recognition under variable lighting and expanding the system's adaptability for diverse object types, broadening its applications in industries demanding high efficiency.
Co-Authors Abadi, Siti Rafika Abdiansah, Abdiansah Abdul Halim Anshor Aboka, Helmi Abram Anugrahta Sitepu, Elroy Achmad Fiqhi Ibadillah Adinda, Gadistya Novitri Adriyanto, Andhy Tri Agus Fredy Maradona Agus Rifai, Abdul Aziz Ahlan, Mauzatul Hasanah Ahmad, Arisona Alvi Syahrini Utami Ana Susiati, Ana andi hermawan Anggun Fitrian Isnawati Anisa Harumwidiah Apriliana, Candra Yuli Aquarini Priyatna Assa, Inriyati Ayu Trisna Hayati, Ayu Trisna Budi Irmawati Budianto, Firman Dafid, Ach Daniyal, Moh. Darmawan, Diki Dinda Ayu Muthia Eddy Setiawan Edi Purwanto Eko Nugroho Enri, Ultach Euis Mufahamah Faikul Umam Faisal, Hana Farabi, M.J. Al Farkhan, M. Fatmawati, Ririn Dwi Gumilang, Ahlur Roi Novanto Harkat, Avisenna Hartanto, Sugeng Haryono, Budi I Made Wirya Darma Ibadillah, Achmad Fiqih Iffa Mutmainah Ihsan, Mohamad Indriani, Wiewiek Indriawati, Anisa INDRIYANTI, IRMA SATYA Irfansyah, Raka Islami, Ratu Claudia Suwandi Isyanto Isyanto Jannan, Ahmad Muthoharul Joko Triyono Kariani, Ni Ketut Kinasih, Sekar Koenhardono, Eddy S. Kurnianto, Fahmi Arif Kurniawan, Akhmad Reinaldy Kurniawan, Denni Kusuma, Indra R. Laksono, Deni Tri Lanyumba, Hajjaria I Lestari, Eke Febi Libria Widiastuti Librianty, Nurfanida Lina Herlina Lubis, Arina Luthfini Maharani, Ivana Septia Mahrani, Mahrani Marwadhani, Sarah Shafa Maulana, Hasan Syafik Mawabagja, Dico Medha Baskara Milly Armilya Andang, Milly Armilya Mimi, Hidayah Atta Morshed, Md. Monzur Muhamad Ridwan Muhtadin, Teddi Mulyadien, Muhamad Khandava Natasya, Putri Wilda NUR AJIJAH, NUR Pangastuti, Era Iswara Paramita Khairan, Paramita Pasau, Febri Yolanda Patriadi, Andi Prameswari, Anindya Pramono, Wiandi Nur Annisa Ms. Prananda, Juniarko Pratiwi, Vira Prawesti, Shafira Indah Prawirohardjo, Pukovisa Putri, Fadillah Dwi Rahmawati, Fitriana Nur Raihan, Muhammad Ramadhani, Andini Ratnasari Diah Utami Rosidi, M. Ahyar Sajiyo Sajiyo, Sajiyo Sardono Sarwito Sari, Novita Yuliana Sari, Uti Nilam Septima, Richasanty Setyono Yudo Tyasmoro Sianturi, Reni Sukri, Hanifudin Suryani Suryani Susilawati, S Suspia, Suspia Tantra, Manggala Wiriya Tarakolo, Hernitis Silvana Thinakaran, Rajermani Utami, Alya Hadranita Utami, Dwiarti Rahma Utomo, Rizky Fadjri Wahyu Pamungkas Wayan, Wininda Yani, Iis Yushardi Yushardi, Yushardi Yustina Sri Ekwandari Yuwono Yuwono zulfa, Ira