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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Sinkron : Jurnal dan Penelitian Teknik Informatika International Journal of Artificial Intelligence Research ILKOM Jurnal Ilmiah Computer Based Information System Journal Jurnal Teknik Mesin Jurnal Ilmu Komputer dan Bisnis Jurnal Ekonomi Manajemen Sistem Informasi Indonesian Journal of Social Work Journal of Applied Data Sciences Jurnal Cahaya Mandalika International Journal of Computer and Information System (IJCIS) Jurnal Tika Jurnal Info Sains : Informatika dan Sains Malikussaleh Journal of Mechanical Science Technology Jurnal Ilmiah Kebijakan dan Pelayanan Pekerjaan Sosial (Biyan) J-Intech (Journal of Information and Technology) Jurnal Puan Indonesia Journal International of Lingua and Technology JUSIFOR : Jurnal Sistem Informasi dan Informatika Jurnal Desain dan Analisis Teknologi Innovative: Journal Of Social Science Research Priviet Social Sciences Journal Jurnal Pengabdian Ibnu Sina Journal of Society Bridge JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah Jurnal Pengabdian Barelang Jurnal Sistem Informasi dan Manajemen Jurnal Accounting Information System (AIMS) Jurnal Polimesin Computer & Science Industrial Engineering Journal Prosiding Seminar Nasional Ilmu Sosial dan Teknologi (SNISTEK)
Tukino, Tukino
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Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Other

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Application of Convolutional Neural Networks for Automated Iris Edge Detection in Sleepiness Monitoring during Blended Learning Tukino, Tukino; Yuhandri, Yuhandri; Sumijan, Sumijan
Journal of Applied Data Sciences Vol 6, No 4: December 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i4.882

Abstract

This study introduces a novel lightweight Convolutional Neural Network (CNN) model, T-Net, designed for real-time drowsiness detection based on eye closure patterns. The model was developed to address the prevalent issue of student fatigue in resource-constrained environments, such as during prolonged online learning or blended learning sessions. Unlike traditional deep learning models, T-Net prioritizes efficiency while maintaining high accuracy, making it suitable for deployment on devices with limited computational resources. The model uses a 68-point facial landmark detection technique to extract the eye region and accurately classify eyelid states (open or closed). Evaluated on two benchmark datasets, Dataset-1 (342 eye images) and Dataset-2 (1,510 eye images), T-Net demonstrated superior performance, achieving classification accuracies of 99.33% and 99.27%, respectively, outperforming other pre-trained models such as VGG19, ResNet50, and MobileNetV2. Usability testing revealed a high acceptance rate, with a System Usability Scale (SUS) score of 84.5, indicating the system’s practicality for real-world use. Additionally, statistical analysis showed a significant correlation (r = 0.67, p 0.01) between prolonged screen time and the emergence of visual fatigue symptoms. This study highlights the effectiveness of a lightweight CNN approach for real-time fatigue monitoring, offering a balance between performance and computational efficiency. The results suggest that T-Net can be effectively integrated into student monitoring systems to ensure alertness during learning sessions. Future research will focus on expanding the dataset, integrating infrared imaging for low-light environments, and incorporating additional fatigue indicators such as yawning and head pose.
Blockchain Application On Independent Smart Agriculture Hilabi, Shofa Shofiah; Fauzi, Ahmad; Tukino, Tukino
International Journal of Artificial Intelligence Research Vol 7, No 1.1 (2023)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i1.1.988

Abstract

The agricultural supply chain is currently facing challenges such as lack of transparency, uncertainty in product origin, and difficulty in accurately tracking products. This article discusses the application of blockchain technology as a solution to enhance agricultural supply chain management. It analyzes how blockchain can improve transparency, reliability, and security in agricultural supply chain management by recording and verifying information in a decentralized manner. Through blockchain, information such as product origin, production methods, shipping details, and storage conditions can be easily traced and verified by the involved parties. The implementation of blockchain also enables smart contracts to automatically execute agreements and payments based on predefined conditions, reducing bureaucracy and enhancing efficiency. The article also addresses challenges in implementing blockchain in the agricultural supply chain, such as data standardization and collaboration among stakeholders. By implementing blockchain technology, it is expected to create a more transparent, efficient, and trusted agricultural supply chain, benefiting farmers, producers, distributors, and consumers by ensuring product authenticity, improving compliance with quality standards, and minimizing the risks of counterfeiting or contamination.  
The Rekayasa Teknologi Konseling Kelompok dengan Relaksasi Otot Progresif dalam Menurunkan perubahan suasana hati (mood swing) pada lanjut usia di Panti Sosial Bina Insan Bangun Daya 2 Jakarta Timur Nahampun, Mawi; Sukoco, Dwi Heru; Tukino, Tukino
Jurnal Ilmiah Kebijakan dan Pelayanan Pekerjaan Sosial (Biyan) Vol 6 No 2 (2024): BIYAN
Publisher : Politeknik Kesejahteraan Sosial (Poltekesos) Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31595/biyan.v6i2.1293

Abstract

Group Counseling with Progressive Muscle Relaxation is the result of psychosocial therapy technology engineering in the form of modifying group counseling therapy steps to be more effective with the involvement of progressive muscle relaxation, namely stretching the physical muscles of the elderly who experience mood swing problems at the Bina Insan Bangun Daya 2 Social Home in East Jakarta. Group Counseling with Progressive Muscle Relaxation is used to deal with the problems of the elderly who experience mood swings during group counseling. This study aims to explain the implementation of group counseling therapy with progressive muscle relaxtation on reducing mood swings in the elderly. This study uses a Single Subject Design (SSD) type of A-B-A reversal. The subject in this study were JN, AF, and SL. The target behavior observed in this study during group counseling activities was related to changes in mood (mood swings) in the elderly, namely exticed conditions, feelings of fatigue, feelings of anger, and relaxed and calm conditions. The validity test of the research instrument used face validity and the reliability test used percent agreement. Then the data analysis used was visual data analysis consisting of analysis in conditions and between conditions. The results of the study indicate that Group Counseling Therapy with Progressive Muscle Relaxation has been proven to be able to reduce mood swings in the elderly, which means that Group Counseling Therapy with Progressive Muscle Relaxation has an effect on reducing mood swings in research subjects, which is known through data trend analysis with increasing and decreasing trends in the percentage of overlapping data in the analysis between conditions below 50% because the smaller the percentage of overlapping data, the stronger the influence of the intervension on changes in treatment.
Klasifikasi Hasil Penjualan Minuman Ringan Pada Koperasi Berdasarkan Jenis Barang Menggunakan Algoritma K-Means Clustering Situmorang, Awaljan; Tukino, Tukino; Novalia, Elfina; Ahmad, Sandi
Jurnal Tika Vol 7 No 3 (2022): Jurnal Teknik Informatika Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim Bireuen - Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/tika.v7i3.1565

Abstract

The joint cooperative store is one of the efforts given by the joint cooperative management to increase cooperative income by calculating profits every year and distributing them to cooperative members in the form of money, commonly known as SHU or the remaining results of operations. However, there are still shortcomings in the implementation of cooperative sales management, one of which is the sale of soft drinks. There are still errors in determining the high and low volume of beverage sales. This research will help cooperative managers to categorize beverage sales data so that customer demand for soft drinks can be fulfilled properly. The data collected from January 2020 to September 2022 is the sale of 11,945 drinks from 15 soft drinks at the Koperasi Bersama store. This research aims to group the sales recapitulation results into a cluster using a data mining approach using the K-Means clustering algorithm. Grouping sales data according to its characteristics. The results of this study indicate that 1 soft drink is included in cluster 0 which is classified as high sales volume, while 14 soft drinks are included in cluster 1 which is classified as low sales volume.
Clustering User Sentiment Transportasi Online Gojek Dan Grab Dengan Metode K-Means Annam, Dyno Syaiful; Hananto, Agustia; Nurapriani, Fitria; Tukino, Tukino
Jurnal Tika Vol 8 No 2 (2023): Jurnal Teknik Informatika Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim Bireuen - Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/tika.v8i2.2165

Abstract

As an online transportation service, people often discuss it by sharing their opinions through various social media platforms, one of which is Google Play reviews. The opinions given by the public regarding online transportation services are diverse. Users provide reviews about the application, and naturally, users will choose an application with good reviews. However, monitoring the opinions of the general public is not easy, given the large volume of data to be processed. Therefore, the researcher aims to obtain accurate and precise information from user reviews of Gojek and Grab using clustering techniques, specifically the K-means method, using the RapidMiner application. The results of the testing of both applications can be summarized as follows: Gojek and Grab receive reviews that are not significantly different, although Grab's reviews are slightly better. The classification using the K-Means method offers a solution to the issue of sentiment analysis in user reviews of online transportation applications.
DISASTER RISK REDUCTION IN SCHOOLS ENVIRONMENT Tukino, Tukino
Indonesian Journal of Social Work Vol 6 No 2 (2023): February 2023
Publisher : Politeknik Kesejahteraan Sosial Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31595/ijsw.v6i2.737

Abstract

The territory of Indonesia is an area that is prone to disasters, both natural, non-natural and social disasters. The occurrence of various disasters in Indonesia resulted in loss of life and property, damage to educational facilities in the form of collapsing school buildings, and school children who were threatened not to be able to carry out learning in class. The National Disaster Management Agency (BNPB) noted that since the earthquake and tsunami in Aceh in 2004, and various disaster events up to 2014, in total more than 300,000 people died and more than 10,000 schools were affected by the disaster, either heavily damaged or collapsed (BNPB: 2014). Children are one of the most vulnerable groups when a disaster occurs. One way to protect children from disasters is to make disaster risk reduction a part of the school curriculum. This study was conducted using the secondary data research methods, with the locus of study on data from various parties regarding disaster risk reduction education in schools. The data collected was then analyzed using document analysis techniques. The results of the analysis conclude that social workers are needed in disaster risk reduction in schools environment
THERAPEUTIC COMMUNICATION IN REDUCING ELDERLY ANXIETY THROUGH TOUCH THERAPY AT BEKASI HALFWAY HOUSE Tukino, Tukino
Indonesian Journal of Social Work Vol 7 No 2 (2024): February 2024
Publisher : Politeknik Kesejahteraan Sosial Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31595/ijsw.v7i2.1138

Abstract

Elderly people undergoing social rehabilitation in halfway houses, especially those experiencing anxiety, need to receive special treatment, including; services to overcome anxiety, and feel optimistic about life lived every day. One technique for dealing with anxiety is touch therapy. This research aims to reveal the application of touch therapy in overcoming anxiety problems experienced by the elderly at the Pedurenan Bekasi Halfway House. The method used is single subject design. Data collection techniques were carried out through interviews and observation. The research results show that applying touch therapy to subjects can reduce anxiety
Perancangan Sistem Inventori Pada CV Bahtera Tuaian Global Dengan Metode Perpetual Manalu, Soli Vernika; Tukino, Tukino
Prosiding Vol 6 (2024): SNISTEK
Publisher : LPPM Universitas Putera Batam

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

Abstract

The company's information system currently still utilizes Microsoft Excel in processing inventory quantities. For example, in the process of inputting data on incoming goods, when large quantities of goods come in, a painstaking admin is needed to input the incoming goods. If there is no admin who is diligent in inputting, it is very possible that typos will occur which will result in redundancy or loss of data when inputting incoming goods. Redundancy or loss of data caused by the admin's lack of diligence can result in differences in the amount of inventory in the system and physically. When using applications currently, data cannot be stored centrally in a database, so the risk of data loss caused by admins may occur. Data loss in question is when the admin intentionally or unintentionally deletes data or overwrites data which can result in differences in the amount of inventory. Missing one cell in Microsoft Excel can result in data regarding inventory quantities being incorrect/incorrect.
Rancang Bangun Sistem Informasi Manajemen Pada Koze Patisserie di Kota Batam Leony, Alvina; Tukino, Tukino
Prosiding Vol 6 (2024): SNISTEK
Publisher : LPPM Universitas Putera Batam

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

Abstract

As technology continues to develop and improve in leaps and bounds, there is an inevitable high demand for more technology-based systems (in the form of websites, software, applications, or even web-based applications) to manage tasks in businesses with greater efficiency, accuracy, and speed. Every business, whether a small personally owned store or a large conglomerate, needs to keep up and compete in this rapidly developing world. One such business is Koze Patisserie, a patisserie shop that requires a management information system to help manage and keep track of their products, orders, ingredients, customers, suppliers, and more automatically. This article will use the SDLC Waterfall method, consisting of the following steps: requirement analysis, system design, implementation (coding), integration and testing, deployment, and maintenance, to develop the application using Visual Basic as its programming language in the integrated development environment (IDE) Visual Studio and Microsoft Access as its database to store all relevant data records
Perbaikan Proses Bisnis Menggunakan Metode Business Process Improvement (Studi Kasus: Keuangan Pada UMKM Telor Asin UPB) Berkah*, Kamila; Hananto, April Lia; Tukino, Tukino
JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah Vol 8, No 4 (2023): Agustus, Social Religious, History of low, Social Econmic and Humanities
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jimps.v8i4.26968

Abstract

Proses Penelitian yang di lakukan saat ini memiliki tujuan untuk melakukan perbaikan pada proses bisnis pada bagian keuangan UMKM UPB Usaha Purna Bakti Proses bisnis belum di jelaskan dengan baik, dan permaslaahan terpenting yang terjadi yaitu cara pencatatan keuangan Umkm UPB ini masih menggunakan proses manual yaitu dengan menggunakan pentatan menggunakan buku tulis, yang di mana dapat beresiko yang sangat besar, baik itu kekeliruan penulisan, sealain itu pun memakan waktu yang cukup lama. Proses bisnis akan dimodelkan dengan menggunakan metode Business Process Modelling and Notation (BPNM). Digunakan untuk mengetahui masalah yang terjadi pada setiap aktifitas, proses bisnis yang di lakukan dengan menggunakan metode Business Process Improvement (BPI). Hasil dari penelitian ini berupa sebuah proses bisnis yang di usulkan yang dapat dipakai sebagai acuan dapat dilakukan sebuah perubahan proses kerja dari yang manual menjadi proses terkomputerisasi.
Co-Authors Agustina, Alvi Ahmad, Sandi Akbari, Wahyu Azriel Akmal, Khafid Khaulsar Alfiah, Agry Algifanri Maulana, Algifanri Amalia Amalia Amrizal Amrizal Angeli, Alvin Annam, Dyno Syaiful Apriani, Fitria April Lia Hananto Arif Rahman Hakim Arnomo, Sasa Ani Arsyad, Fachry Aulia, Aldi Azwanti, Nurul Baru Harahap Berkah*, Kamila Catur Nugroho Danny Manongga Deddy Prihadi Dede Kuswanda Dien Noviany Rahmatika Dzulqarnain, Fahmi Eichler, Luiz Elisa, Erlin Fajrin, Alfannisa Fauzi Ahmad Muda Ferdiansyah, Indra Fifi, Fifi FIKRI HAIKAL Guntur, Muhamad Hananto, Agustia Handayani, Citra Handoko, Koko Harman, Rika Hendry Hilabi, Shofa Shofiah Hindriyanto Dwi Purnomo Huda, Baenil I Gede Iwan Sudipa Irawan, Bei Harira Irwan Sembiring Iwan Setiawan Jasmine Dina Sabila Karyadi Karyadi Kurnia, Nisa Kusuma P, ⁠Shafira Putri Leony, Alvina Lindo, Junius Manalu, Soli Vernika Mildawati, Milly Muammar Khaddafi Mubarok, Piky Muhammad Nuzan Rizki Muhammad, Daniel Muslih, Muhamad Mutiana Pratiwi Nahampun, Mawi Nanda, Rizki Aulia Nofriani Fajrah, Nofriani Novalia, Elfina Novaria, Rachmawati Nurapriani, Fitria Oganda, Decut Della Pandiangan, Satria Patya, Dhea Intan PERNANDO, Pernando Pratama, Daffa Agung Priatna, Bayu Priyatna, Bayu Purba, rehni jayana Purnomo, Andromedo Cahyo Putria, Narti Eka Ramadhan, Muhammad Faiz Rivai, Samuel Saepul Aripiyanto Samosir, Epa Prima Melina Sari, Nilah Wati Indra Nur Meinda Sari Sarjon Defit Setianingsih, Krisna Dewi Sianturi, Nico Bangun Rezkyanto Silva, Tiago Simanjutak, Pastima Situmorang, Awaljan Soleman, Soleman Sri Wahyuni Subarkah, Ade Suhara, Ade Sukoco, Dwi Heru Sulestra, Ikhwan Sumijan Sumijan Syahril Effendi Syelfiyananda, Syelfiyananda Tiodora, Jeremy Triandy, Oky Versanudin Hekmatyar Wibisosno, Eko Gunawan Wong, Hendri Yohanna Siahaan, Winda Yuhandri Yuhandri, Yuhandri Zetli, Sri Zulkifli, Mohamad