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All Journal Jurnal Edukasi dan Penelitian Informatika (JEPIN) CESS (Journal of Computer Engineering, System and Science) Journal of Information Technology and Computer Science Journal of Advanced in Information and Industrial Technology (JAIIT) Jurnal Pengabdian kepada Masyarakat Nusantara Teknika Jurnal Pengabdian Kepada Masyarakat Aptekmas : Jurnal Pengabdian Kepada Masyarakat
Ahmad Wali Satria Bahari Johan
Universitas Telkom
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E-POSYANDU : SISTEM PENGARSIPAN POSYANDU GUNA EFISIENSI PENDATAAN KESEHATAN PASIEN POSYANDU Ahmad Wali Satria Bahari Johan; Rizky Fenaldo Maulana; Kharisma Monika Dian Pertiwi
Aptekmas Jurnal Pengabdian pada Masyarakat Vol 5 No 2 (2022): APTEKMAS Volume 5 Nomor 2 2022
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36257/apts.v5i2.4763

Abstract

Posyandu Dinoyo is one of the posyandu located in Malang City, East Java. Until now, Posyandu Dinoyo is still active in carrying out posyandu activities. However, in carrying out these activities, Dinoyo Posyandu cadres find it difficult. Posyandu cadres collect public health data on health cards. Posyandu cadres are required to keep these cards. Posyandu cadres have difficulty finding a resident's health document. Posyandu cadres are also worried if the card is lost or damaged. Posyandu cadres must also provide data collection results to puskesmas officers every month. Therefore, the IT Telkom Surabaya community service team created a system that was able to facilitate posyandu cadres in carrying out their duties. Our team has created a system that can record people's health and their health. In addition, data can be exported in PDF and excel formats for monthly reporting. After the system is complete, Posyandu cadres can easily save each inspection data into the system without the need to prepare a form to store inspection data. Posyandu cadres can easily control health data and easily access or search for desired patient data. Where previously they had to search in the pile of documents that were quite a lot. Reports of inspection results can be easily made because the system has provided tools to print reports that are ready to be submitted to the Puskesmas.
Kernel Comparison on Support Vector Machine for Detecting Stairs Descent Ahmad Wali Satria Bahari Johan; Ardian Yusuf Wicaksono; Muhammad Dzulfikar Fauzi; Rizky Fenaldo Maulana; Kharisma Monika Dian Pertiwi
CESS (Journal of Computer Engineering, System and Science) Vol 7, No 2 (2022): July 2022
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v7i2.33477

Abstract

Terdapat 4 kernel yang dapat digunakan dalam klasifikasi Support Vector Machine dalam membuat hyperplane. Keempat kernel tersebut adalah linear, polynomial, gaussian dan sigmoid. Setiap kernel dapat menghasilkan akurasi yang berbeda-beda. Hal ini dikarenakan pengaruh sebaran data yang diklasifikasikan. Terdapat 2 kelas yang diklasifikasikan, yaitu lantai dan tangga turun. Dilakukan proses ekstraksi fitur tekstur terhadap citra lantai dan tangga turun menggunakan metode Gray Level Co-occurence Matrix. Terdapat 7 fitur dari GLCM yang dihasilkan pada proses ekstraksi fitur. Selanjutnya dilakukan klasifikasi menggunakan Support Vector Machine dengan mencoba setiap kernelnya. Dari hasil pengujian didapatkan kernel linear menghasilkan akurasi yang paling tinggi, yaitu 89%. Kernel sigmoid mendapatkan akurasi 84%. Kernel Gaussian mendapatkan akurasi sebesar 85%. Sedangkan kernel polynomial mendapatkan akurasi yang paling rendah yaitu 78%.
IMPLEMENTASI GREEN MARKETING DAN DIGITAL MARKETING PADA UMKM BINAAN TELKOM COMMUNITY DEVELOPMENT CENTER SURABAYA Sekar Widyasari Putri; Ahmad Wali Satria Bahari Johan; Riza Akhsani Setyo Prayoga; Jenny Ghifrina; M. Ghouzul A’dhom; Vagnes Angela
Aptekmas Jurnal Pengabdian pada Masyarakat Vol 5 No 4 (2022): APTEKMAS Volume 5 Nomor 4 2022
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36257/apts.v5i4.5743

Abstract

The COVID-19 pandemic has had a significant impact on the industry, such as layoffs. Employees affected by layoffs fulfill their daily needs by becoming MSME actors in the hope of becoming a source of income. Telkom CDC (Community Development Center) is a division of PT Telkom Indonesia as a distributor of CSR (Corporate Social Responsibility) funds for MSMEs in the Surabaya area. Based on an interview with the Telkom CDC Manager as an MSME supervisor, he provided information about the problem of soft loan funds being channeled to MSME actors who did not return, because their business was not yet profitable. This is because business actors do not evaluate and improve their business. In addition, during the pandemic, training for MSME actors was also very limited so MSME actors' knowledge, especially on effective marketing, was also lacking. They cannot keep up with the digitalization and packaging trends that attract consumer interest and trust in the products offered. Therefore, we try to provide solutions from the marketing side by providing digital marketing training and the application of green marketing in the form of attractive environmentally friendly packaging.
Detection of Motorcycle Headlights Using YOLOv5 and HSV Vessa Rizky Oktavia; Ahmad Wali Satria Bahari Johan; Whisnumurty Galih Ananta; Fahril Refiandi; Muhammad Khuluqil Karim
Teknika Vol 12 No 3 (2023): November 2023
Publisher : Center for Research and Community Service, Institut Informatika Indonesia (IKADO) Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34148/teknika.v12i3.682

Abstract

"Electronic Traffic Law Enforcement" (ETLE) denotes a mechanism that employs electronic technologies to implement traffic regulations. This commonly entails utilizing a range of electronic apparatuses like cameras, sensors, and automated setups to oversee and uphold traffic protocols, administer fines, and enhance road security. ETLE systems are frequently utilized for identifying and sanctioning infractions like exceeding speed limits, disregarding red lights, and turning off the headlights. In Indonesia, there is currently no dedicated system designed to detect traffic violation, especially regarding vehicle headlights. Therefore, this research was conducted to detect vehicle headlights using digital images. With the results of this study, it will be possible to develop a system capable of classifying whether vehicle headlights are on or off. This research employed the deep learning method in the form of the YOLOv5 model, which achieved an accuracy of 94.12% in detecting vehicle images. Furthermore, the white color extraction method was performed by projecting the RGB space to HSV to detect the Region of Interest (ROI) of the vehicle headlights, achieving an accuracy of 73.76%. The results of this vehicle headlight detection are influenced by factors such as lighting, image capture angle, and vehicle type.
Self-Health Examination Pavilion (APKM) for Health Consultation Johan, Ahmad Wali Satria Bahari; Montolalu , Billy; T. Rasmana , Susijanto; Yusuf Wicaksono , Ardian; Dzulfikar Fauzi , Muhammad
Journal of Advances in Information and Industrial Technology Vol. 5 No. 2 (2023): Nov
Publisher : LPPM Telkom University Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/jaiit.v5i2.366

Abstract

The Self-Health Examination Platform (APKM) aims to help medical personnel reduce the usual initial examination procedures so that further examinations or consultations can be carried out immediately. The usual initial examinations that are carried out include measuring body weight, height, body temperature, blood pressure, oxygen levels in the blood, number of heart beats per minute, respiratory rate per minute, and an electrocardiogram to record heart activity. All measurements are carried out in one bridge and are equipped with an audio-visual guide. Measurement devices use equipment with a high level of precision and work automatically so that they can be used by ordinary people. However, the results of this examination need to be consulted with a doctor. In this research, it is proposed to develop APKM for telemedicine so that patients who have carried out independent examinations can consult directly with a doctor regarding the results of their examination.
Analisa Suasana Belajar Kelas Berdasarkan Deteksi Ekspresi Wajah Menggunakan Deepface Rasmana, Susijanto Tri; Johan, Ahmad Wali Satria Bahari; Wicaksono, Ardian Yusuf
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 10, No 3 (2024): Volume 10 No 3
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jp.v10i3.85462

Abstract

Emosi peserta kelas pada pelajaran merupakan salah satu kunci keberhasilan proses belajar mengajar. Perasaan senang dan bisa memahami merupakan hal positif dalam belajar. Sebaliknya perasaan bosan dan tidak tertarik merupakan hal negatif yang dapat menurunkan produktifitas belajar. Emosi yang terjadi pada seseorang dapat terlihat pada ekspresi wajahnya. Demikian halnya pada peserta pelajaran di kelas yang dalam penelitian ini menggunakan objek mahasiswa. Dengan menggunakan metode Deepface-MTCNN dan Deepface-Retinaface dapat dikenali emosi setiap peserta kelas dan menentukan suasana belajar. Dipadukan dengan hasil survey peserta kelas, didapatkan adanya hubungan antara suasana belajar yang dirasakan mahasiswa saat mengikuti kuliah di kelas dengan hasil deteksi ekspresi wajah. Saat peserta kelas merasakan suasana menyenangkan, bisa memahami, sulit memahami, atau tidak menarik terjadi pula perubahan pada ekspresi wajah. Berdasarkan pengujian akurasi deteksi Deepface-Retinaface sebesar 86% dan Deepface-MTCNN sebesar 91%. Untuk analisa korelasi metode Deepface-MTCNN memiliki hasil lebih baik karena memiliki korelasi kuat yang lebih banyak. sebanyak 4 korelasi positif dengan nilai lebih besar dari 0,5 dan 5 korelasi negatif dengan nilai lebih kecil dari -0,5.
K-Value Effect for Detecting Stairs Descent using Combination GLCM and KNN Satria Bahari Johan, Ahmad Wali; Utaminingrum, Fitri; Budi, Agung Setia
Journal of Information Technology and Computer Science Vol. 5 No. 1: April 2020
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1299.817 KB) | DOI: 10.25126/jitecs.202051144

Abstract

This study aims to analyze the k-value on K nearest neighbor classification. k-value is the distance used to find the closest data to label the class from the testing data. Each k-value can produce a different class label against the same testing data. The variants of k-value that we use are k=3, k=5 and k=7 to find the best k-value. There are 2 classes that are used in this research. Both classes are stairs descent and floor classes. The gray level co-occurrence matrix method is used to extract features. The data we use comes from videos obtained from the camera on the smart wheelchair taken by the frame. Refer to the results of our tests, the best k-value is obtained when using k=7 and angle 0° with accuracy is 92.5%. The stairs descent detection system will be implemented in a smart wheelchair
Implementasi Digitalisasi Pembuatan Rapor untuk TPQ Al-Mubaarok Surabaya dalam Mendukung Evaluasi Santri Vessa Rizky Oktavia; Rausanfita, Alqis; Safitri, Pima Hani; Satria Bahari Johan, Ahmad Wali
PaKMas: Jurnal Pengabdian Kepada Masyarakat Vol 5 No 1 (2025): Mei 2025
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/pakmas.v5i1.4102

Abstract

Taman Pendidikan Al-Quran (TPQ) is a non-formal educational institution. Often, TPQ prioritizes the quality of educational materials so that it slightly ignores the administrative aspects. A TPQ ​​usually contains asatidz (ustadz and ustadzah) who have expertise in the field of religion, but do not have staff who are experts in administrative matters. Not a few TPQs still use manual recording such as using paper to make report cards. As a result, there are still often errors in recording grades on report cards and asatidz who find it difficult to manage report cards. The problems faced by asatidz become more complicated when the number of students increases. Digitalization is a solution that can solve the problems faced by TPQ. With the digitalization of report cards, asatidz will easily manage student grades and print report cards massively in a short time. Application creation is carried out by analyzing needs, designing interfaces, implementing, and training. This activity was carried out by a community service team from Telkom University and partners of TPQ Al-Mubaarok Surabaya. The result is an application that has reliability in managing student grade data. This application can be accessed from anywhere by TPQ, making it easier for TPQ to manage student report cards. Positive impacts felt include reducing errors when entering data and ease in storing digital data.
Implementasi Sistem Perpustakaan Digital Berbasis Website untuk Peningkatan Efisiensi dan Kualitas Layanan Satria Bahari Johan, Ahmad Wali; Safitri, Pima Hani; Rachmaniar, Desita Nur; Wicaksono, Ardian Yusuf; Sebastian, Gerrard; Firdaus, Raihan; Saputra, Ananda Bintang; Putra, Muhammad Alifian; Krishna Lokajaya, Gabriel Azarya
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 6 No. 3 (2025): Edisi Juli - September
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v6i3.6455

Abstract

Perpustakaan sebagai fasilitas penunjang yang menyediakan sumber bacaan mengelola bahan pustaka, baik berupa buku maupun bukan berupa buku untuk mendukung proses pembelajaran di dunia Pendidikan. Layanan perpustakaan yang masih bersifat konvensional ataupun manual banyak sekali menimbulkan berbagai kendala dalam pemberian dan pemenuhan layanan. Solusi permasalahantersebut dengan menghadirkan terobosan terbaru dibidang perpustakaan yaitu terciptanya inovasi produk perpustakaan digital yaitu berupa website. Metode yang digunakan dalam kegiatan pengabdian kepada masyarakat ini adalah sosialisasi hasil pengembangan website perpustakaan. Hasil kegiatan pengabdian kepada masyarakat ini berupa website perpustakaan yang terdiri atas informasi-informasi seperti koleksi buku favorit, fitur-fitur utama yang dapat dinikmati, layanan yang dapat diakses, lokasi perpustakaan serta informasi mengenai sosial media dan contact person maupun hotcall. Hal ini menunjukkan bahwa peran serta teknologi informasi menjadi solusi yang efektif bagi permasalahan perpustakaan konvensional
Co-Authors Agung Setia Budi, Agung Setia Alqis Rausanfita Ardian Yusuf Wicaksono Desita Nur Rachmaniar Fahril Refiandi Fauzi, Muhammad Dzulfikar Firdaus, Raihan Granita Hajar Jenny Ghifrina Krishna Lokajaya, Gabriel Azarya M. Ghouzul A’dhom Montolalu, Billy Muhammad Khuluqil Karim Pertiwi, Kharisma Monika Dian Putra, Muhammad Alifian Riza Akhsani Setyo Prayoga Rizky Fenaldo Maulana Safitri, Pima Hani Saputra, Ananda Bintang Sebastian, Gerrard Sekar Widyasari Putri Susijanto Tri Rasmana T. Rasmana , Susijanto Utaminingrum, Fitri Vagnes Angela Vessa Rizky Oktavia Whisnumurty Galih Ananta