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All Journal EKUIVALEN - Pendidikan Matematika Jurnal Nasional Komputasi dan Teknologi Informasi Indonesian Journal of Applied Informatics Jurnal Ilmiah Sinus Jurnal Teknologi Terapan JSAI (Journal Scientific and Applied Informatics) Jurnal Kridatama Sains dan Teknologi Jurnal Teknologi Informasi, Komputer, dan Aplikasinya (JTIKA ) JATI (Jurnal Mahasiswa Teknik Informatika) Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal TIKOMSIN (Teknologi Informasi dan Komunikasi Sinar Nusantara) Djtechno: Jurnal Teknologi Informasi Jurnal Penelitian Inovatif Abdibaraya: Jurnal Pengabdian Masyarakat Jurnal Pendidikan Surya Edukasi (JPSE) Journal of Engineering, Electrical and Informatics
Fadjeri, Akhmad
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Neuroscience Public Health Social Sciences Transportation Other

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PENGEMBANGAN MEDIA PEMBELAJARAN BERBASIS ICT (INFORMATION AND COMMUNICATION TECHNOLOGIES) PADA MATA PELAJARAN MATEMATIKA Fadjeri, Akhmad
EKUIVALEN - Pendidikan Matematika Vol 24, No 2 (2016): EKUIVALEN
Publisher : Universitas Muhammadiyah Purworejo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (88.941 KB)

Abstract

Penelitian ini bertujuan untuk mengetahui proses pengembangan media pembelajaran berbasis ICT (Information and Communication Technologies),  mengetahui respon siswa, serta mengetahui apakah media pembelajaran berbasis ICT efektif. Penelitian ini merupakan penelitian R&D dengan model pengembangan ADDIE yang hanya sampai uji coba terbatas. Teknik pengumpulan data menggunakan observasi, wawancara, tes dan angket. Data diperoleh dari hasil soal tes prestasi belajar, observer mengisi angket keterlaksanaan proses pembelajaran, dan pengisisan angket respon siswa  serta analisis dengan persentase. Uji coba terbatas dilaksanakan pada siswa kelas X Teknik Permesinan A SMK Nawa Bhakti Kebumen Tahun Ajaran 2015/2016 yang berjumlah 40 siswa. Berdasarkan hasil penelitian diperoleh proses pengembangan media pembelajaran: Analysis: media pembelajaran yang pernah digunakan menggunakan komputer dan siswa kurang aktif. Design: menyusun rencana pengembangan  dan menetapkan materi trigonometri sebagai materi pembelajaran. Development: produk yang dibuat adalah e-learning dan membuat materi pembelajaran. Implementation: mengonlinekan e-learning dan memasukan data pembelajaran di http://elearning-fadjeri.esy.es. Evaluation:  melakukan pengambilan data respon siswa terhadap media pembelajaran memperoleh skor 83,40 % dengan kategori sangat baik, prestasi belajar siswa memperoleh skor 77,50% dengan kategori sangat baik, keterlaksanaan proses pembelajaran memperoleh skor 91,38% dengan kategori sangat baik, dapat disimpulkan dari ketiga indikator bahwa media pembelajaran berbasis ICT efektif untuk materi trigonometri kelas X Teknik Permesinan SMK Nawa Bhakti Kebumen tahun pelajaran 2015/2016.   Kata kunci: ICT (Information and Communication Technologies), ADDIE,  respon siswa, keefektifan media
Pengolahan Citra Digital Untuk Menghitung Ekstrasi Ciri Greenbean Kopi Robusta Dan Arabika (Studi Kasus: Kopi Temanggung) Akhmad Fadjeri; Arief Setyanto; Mei P. Kurniawan
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 8, No 1 (2020): Jurnal TiKomSiN, Vol.8, No. 1, 2020
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (639.638 KB) | DOI: 10.30646/tikomsin.v8i1.462

Abstract

This study aims to determine the extraction of features contained in robusta and arabica coffee greenbeans to make objects detectable and can be drawn into mathematical numbers. The method used is the original image which is converted to RGB and then grayscaling is carried out followed by a binary process that aims to change the image into binary form (0 and 1) after the digital image processing is complete the process of extracting the characteristics of greenbean coffee based on width, height, perimeter, surface area, roundness percentage, and perimeter of each coffee greenbean so that it can be understood mathematically. The results of the binary image process carried out morphological operations, the morphological process there is an erosion and dilation process. The results of the erosion and dilation process are carried out feature extraction to get the length, height, circumference, roundness ratio and perimeter of an image image. Then the value is stored in the database as a feature extraction of each greenbean coffee.The result of feature extraction obtained from coffee greenbean samples with a mean width of 7.7 pixels, height 11, circumference 31.3, surface area 69.5, roundness percentage 89,559, and perimeter 1,674 of greenbean robusta coffee while for arabica greenbean can be width 13.2 pixels, height 18.8, circumference 51.2, surface area 199.9, percentage of roundness 94.548, and perimeter 1.6000038 with total data taken were 20 greenbean coffees.
Pengolahan Citra Digital Untuk Menghitung Ekstrasi Ciri Greenbean Kopi Robusta Dan Arabika (Studi Kasus: Kopi Temanggung) Akhmad Fadjeri
IJAI (Indonesian Journal of Applied Informatics) Vol 4, No 2 (2020)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijai.v4i2.39253

Abstract

Penelitian ini bertujuan untuk menentukan ekstrasi ciri yang terdapat dalam greenbean kopi robusta dan arabika untuk membuat objek terdeteksi dan dapat di gambarkan kedalam angka matematis. Metode yang digunakan adalah citra asli yang di ubah menjadi RGB kemudian dilakukan grayscaling yang dilanjutkan dengan proses biner yang bertujuan untuk mengubah gambar menjadi bentuk biner (0 dan 1) setelah pengolahan citra digital selesai dilakukan dilakukan proses ekstrasi ciri foto greenbean kopi berdasarkan lebar, tinggi, keliling, luas permukaan, prosentae kebulatan, dan perimeter dari setiap greenbean kopi sehingga dapat dipahami secara matematis. Hasil dari proses citra biner dilakukan operasi morfologi, pada proses morfologi terdapat proses erosi dan dilasi. Hasil dari proses erosi dan dilasi dilakuan ekstrasi ciri untuk mendapatkan panjang, tinggi luas, keliling, rasio kebulatan dan perimeter dari sebuah gambar citra. Kemudian nilai disimpan ke dalam database sebagai ekstrasi ciri dari setiap greenbean kopi. Hasil ekstrasi ciri yang diperoleh dari sampel greenbean kopi dengan rerata didapat lebar 7.7 pixel, tinggi 11, keliling 31.3, luas permukaan 69.5 , prosentase kebulatan 89.559, dan perimeter 1.674 dari greenbean kopi robusta sedangkan untuk greenbean arabika di dapat lebar 13.2 pixel, tinggi 18.8, keliling 51.2, luas permukaan 199.9 , prosentase kebulatan 94.548, dan perimeter 1.60038 dengan kesuluruhan data gambar yang diambil adalah 20 greenbean kopi.
Analisis Perbandingan Hasil Pengolahan Citra Asli Dan Cropping Untuk Mengidentifikasi Karakteristik Tanaman Selada Menggunakan Metode Morfologi Dan Ekstrasi Ciri akhmad fadjeri; Lisna Kurniatin; Dicki Kusuma Adri Ariyanto; Bayu Aji Saputra
Jurnal Ilmiah SINUS Vol 21, No 1 (2023): Vol. 21 No. 1 Januari 2023
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v21i1.664

Abstract

Penelitian ini bertujuan untuk mengetahui hasil perbandingan  tanaman selada menggunakan metode morfologi dan ekstrasi ciri dari proses kroping pada citra dan citra asli. Teknik kroping merupakan teknik memperkecil ukuran citra. Sedangkan citra asli merupakan citra hasil dari tangkapan alat citra digital. Pada pengolahan citra digital terdapat teknik atau metode morfologi pada citra. Sebelum tahap morfologi, citra akan di proses menggunakan 2 metode yaitu metode kroping pada citra dan citra asi atau tanpa kroping. Setelah proses kroping atau tanpa kroping citra di olah menjadi citra abu-abu (grayscale), selanjutnya citra akan di proses menggunakan deteksi tepi untuk memperoleh hasil bagian tepi pada citra. Kemudian citra diubah menjadi bentuk biner (0 dan 1) atau sering disebut citra biner. Setelah pengolahan citra digital selesai kemudian tahap morfologi, dimana terdapat proses dilasi dan erosi. Proses ini bertujuan untuk mempertebal dan menipiskan hasil citra atau untuk meningkatkan hasil pendeteksian pada citra atau objek. Tahap selanjutnya yaitu proses ekstrasi ciri, dimana proses ini bertujuan untuk memperoleh nilai matematis pada sebuah citra.Proses ekstrasi ciri pada citra dilakukan sebanyak dua kali yaitu ekstrasi ciri citra asli dan ekstrasi ciri citra kroping. Dari hasil ekstrasi dapat diperoleh nilai matematis citra dengan ketentuan luas, keliling, kebundaran, kerampingan, panjang dan lebar. Proses ekstrasi ciri yang pertama atau citra asli didapatkan nilai matematis dengan rentang atau rata-rata luas 51.667.147.953.650.600, keliling 58.594.529.654.404.700, kebundaran 1.000.149.515.265.920, kerampingan 30.741.557.873.547.900, panjang 3.496.560.371.093.740 dan lebar 8.489.952.148.437.490. Sedangkan  proses  ekstrasi ciri kroping pada citra didapat nilai matematis citra dengan rentang atau rata-rata luas 83.364.228.960.567.300, keliling 26.081.033.779.659.700, kebundara 10.002.171.123.342.300, kerampingan 41.652.085.165.818.800, panjang 27.072.842.968.749.900 dan lebar 7.598.551.957.031.240.
Klasifikasi Biji Kopi Berdasarkan Bentuk Menggunakan Image Processing dan K-NN Akhmad Fadjeri
Jurnal Ilmiah SINUS Vol 21, No 2 (2023): Volume 21 No. 2 Juli 2023
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v21i2.726

Abstract

Temanggung Regency is the largest coffee producing area in Central Java. Robusta and Arabica are two types of coffee grown in this area. The manual method of sorting coffee beans is still used so the results are more subjective. Therefore, we require a system for categorizing coffee beans so that the results are more objective and reliable. This study uses K-NN classification and morphological features to recognize coffee beans based on the type and shape of the coffee bean defects. This aim of this study discovers which characteristics are better at classifying coffee beans into four categories (whole Robusta, whole Arabica, Robusta broken, and broken Arabica). A total of 110 coffee bean photos were used, with 80 images as training data, 40 images as test data, and a total of five morphological features.Our findings reveal that morphological traits may classify coffee beans into four categories with an accuracy of 62.5%, which is very good for detecting 100% whole Robusta and 90% Arabica but remains weak for recognizing broken coffee beans by type. Lean performs better in distinguishing coffee beans based on four classes, with a 70% accuracy. Morphological features outperform color features in distinguishing coffee beans based on shape defects, with an accuracy score of 83%. 
Booster Organik Tanaman Padi sebagai Program Ketahanan Pangan Kelompok Tani Margo Raharjo Desa Jatiluhur Kecamatan Karanganyar Kabupaten Kebumen Fadjeri, Akhmad; Muflih, Ghufron Zaida; Sangadah, Siti; Suyatiningsih, Suyatiningsih; Astuti, Tri
Abdibaraya Vol 2 No 01 (2023): Abdibaraya: Jurnal Pengabdian Masyarakat
Publisher : Universitas Ma'arif Nahdlatul Ulama Kebumen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53863/abdibaraya.v2i01.680

Abstract

Educating the community by conducting counselling, training and mentoring to farmer groups, as a form of supporting the food security programme in Kebumen district. Together with the Margo Raharjo farmer group in Jatiluhur village, Karanganyar sub-district, making organic boosters for rice plants. Participants involved in the service were members of the Margo Raharjo farmer group, and KKN students from Ma'arif Nahdlatul Ulama University Kebumen. Training and counselling activities are carried out so that farmers are not dependent on inorganic fertilisers while providing education on the importance of using organic materials in agriculture. This activity seeks to help overcome the problems that exist in the community, especially in the knowledge of organic fertiliser for rice plants. The use of organic boosters is not only environmentally friendly but also reduces the cost of purchasing booster products on the market which cost up to 230 thousand rupiah. Inorganic booster products are certainly very expensive and less environmentally friendly. Booster is a liquid organic fertiliser whose nutrients play a role in stimulating the generative growth of flowers and fruits. Increasing farmers' awareness of the dangers of continuous use of inorganic fertilisers encourages farmers to switch to the use of environmentally friendly organic fertilisers.  Organic booster made from fermented pineapple is one of the liquid organic fertilisers applied in the generative phase of plants, namely at the beginning of flowering and fruiting. After the practice of making organic booster, participants are expected to be able to independently or together with the group to follow up and apply the fertiliser to rice plants according to instructions and recommendations. Further testing and research is needed on organic boosters and making organic boosters from different materials and easily obtained in the surrounding environment.  From the results of this activity, the following conclusions were obtained: This activity can improve skills and increase knowledge or insight into the community about organic fertiliser to support increased agricultural productivity, The use of organic booster as one of the solutions to reduce the use of inorganic fertilisers to increase the productivity and quality of products from rice cultivation. Keywords: Organic Fertiliser, Liquid Organic Fertiliser, Vegetable Fungicide, Organic Rice
Inovasi Sistem Registrasi Digital NU (SIREGALNU) dalam Konfercab ke-XV NU Kabupaten Kebumen Fadjeri, Akhmad; Fachri, Fahmi; Lutfiyani, Anisa; Fersellia, Fersellia; Muflih, Ghufron Zaida; Hidayat, Taufik; Nurchayati, Anisa Dwi
Abdibaraya Vol 3 No 01 (2024): Abdibaraya: Jurnal Pengabdian Masyarakat
Publisher : Universitas Ma'arif Nahdlatul Ulama Kebumen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53863/abdibaraya.v3i01.1228

Abstract

Community Service Activities carried out in the Kebumen Regency NU Branch Conference process were carried out because the problems faced during the previous conference were build-up and long queues during registration, so an online-based system was created to handle this. The aim of implementing a digital registration system (SiregalNU) is to speed up implementation of registration services, digitize registration and as a digital literacy moment for NU residents in Kebumen district. This PKM activity was carried out by 15 UMNU lecturers and students. The implementation of siregalNu and the konfercab registration process were carried out for 5 days. The result of this activity is the NU digital registration system (siregalNu) which can be accessed at siregalnu.com. The main output in Siregalnu is an ID-card which has a QR code containing the unique ID of each registrant. The impact that the committee has had is having a complete database related to SK (MWC, Institution, Banom), data on participants from PRNU to MWC under the leadership of the Nahdlatul Ulama Kebumen Branch for the 2020-2024 term of office.
Pembelajaran Mesin Untuk Deteksi Helm Keselamatan Menggunakan Algoritma YOLOv8 Fatkhin, Namri; Fadjeri, Akhmad
Jurnal Ilmiah SINUS Vol 22, No 2 (2024): Vol. 22 No. 2, Juli 2024
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v22i2.843

Abstract

Implementation of Occupational Safety and Health (K3) in construction projects is an effort to create a safe and healthy work environment, free from work accidents and work-related diseases. Based on the International Labor Organization (ILO) report in 2019, more than 395 million workers worldwide experienced non-fatal work injuries. In Indonesia, BPJS Employment reported 370,747 work accident cases in 2023, with an increase of 19.7% from the previous year. As many as 32.12% of these incidents were caused by not using personal protective equipment (APD), including safety helmets. This research aims to build a model through machine learning to automatically detect the use of safety helmets using the YOLOv8 algorithm. The YOLO algorithm is known to have good detection speed and is suitable for complex construction environments. The model evaluation results show that Average Precision reached 78% for all classes, 82% for the APD class, 72% for the non-APD class, and 80% for the non-safety class. The resulting precision value was 77.7% and the recall value was 60.7%, with a mAP (mean Average Precision) level reaching 68.9%. The model training time lasted 1 hour 7 minutes.
Identifikasi Teks dari Citra Menggunakan Optical Character Recognition Fadjeri, Akhmad
Jurnal Ilmiah SINUS Vol 22, No 2 (2024): Vol. 22 No. 2, Juli 2024
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v22i2.819

Abstract

Writing is a human activity to gather information. Now the media of writing is not only on paper but in digital writing on computers.As a person who works as a writer,often come across documents in which there is quite a lot of text.To input text into the computerof course it take a longe time if typed manually one by one. Incomputer science, there isa field of science is call image processing, in this case it can be used as a method to make it easier in these conditions.Generally to input text into the computer the autor handles it manually with the keyboard, but with image processing we can process an image into a text that can be directly processed by the computer. From these problem, a program was created that can convert an image into text using the pythin programming language.To convert image into text using the tesseract module.Tested using 10 sample image taken form the internet and camera photos, the results obtained that programming using image processing with the python programming language is able to convert an image inti text with an accuracy rate of 76 %.   
Implementasi Sistem Informasi Absensi dan Nilai Berbasis Web di SMA Islam Al-Kahfi Somalangu Kebumen dengan Metode Waterfall kurniawan, Agung; Fadjeri, Akhmad; Hidayat, Taufik
Jurnal Kridatama Sains dan Teknologi Vol 6 No 02 (2024): JURNAL KRIDATAMA SAINS DAN TEKNOLOGI
Publisher : Universitas Ma'arif Nahdlatul Ulama Kebumen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53863/kst.v6i02.1305

Abstract

In the continuously evolving digital era, the application of information technology in education has become crucial, especially for managing data efficiently and accurately. This study aims to develop a web-based attendance and grading information system at SMA Islam Al-Kahfi Somalangu Kebumen using the Waterfall method. SMA Islam Al-Kahfi, as a proactive educational institution, requires a system capable of integrating real-time student attendance management and grade evaluation to improve the quality of the teaching and learning process. This system development follows five main stages of the Waterfall method: (1) Requirements Analysis, where user needs are gathered and analyzed to determine system specifications; (2) System Design, which includes database design, user interface, and system architecture; (3) Implementation, involving the coding process and integration of system components; (4) Testing, using black-box methods to ensure all system functions work as intended without examining internal structures; and (5) Maintenance, to ensure the system continues to function well and can be updated as needed. The research results show that the developed information system successfully meets SMA Islam Al-Kahfi's needs for managing student attendance and grades. This system not only enhances efficiency in recording attendance and processing grades but also facilitates data access for teachers and administrative staff through an intuitive and user-friendly interface. End-user testing indicates that the system functions well, meets expectations, and is ready for full implementation. It is hoped that this system will make a significant contribution to improving the quality of school administrative services, particularly in attendance and grading management. The application of the Waterfall method in system development has proven effective in producing a structured, stable system that meets user needs
Co-Authors Adinugraha, Wasita Agung Kurniawan Amir Hamzah Anggoro, Tri Arief Setyanto Aulia Rahmawati, Aulia Bayu Aji Saputra Chakam Ulfi Ikfina, M Dicki Kusuma Adri Ariyanto Dwi Setiawan, Danu Endang Wahyuningsih Endang Wahyuningsih Fachri, Fahmi Fatkhin, Namri Fersellia, Fersellia Filyang, Rissa Fitriana, Annisa Dwi handayani, riska dwi Isro, Mokhamad Khafidurohman, Khafidurohman Lisna Kurniatin Lutfiyani, Anisa Malikhah, Riyani Mei P. Kurniawan Muflih, Ghufron Zaida MUHAMMAD SHOLEH Nugroho, Rahmat Joko Nurchayati, Anisa Dwi Prasojo, Unggul Priyo Priyo Prasojo, Unggul Rahayu, Suparmi Setyowati Rahmani, Syafina Hikmah Risdianto Hermawan SAMIDIN, SAMIDIN Siti Sangadah Suyatiningsih, Suyatiningsih Taufik Hidayat Toto Rusianto Tri Astuti Tri Defani Khudaedi, Ready Triyono Triyono Zuhdi, Rasyid