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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Communications in Science and Technology Dinamisia: Jurnal Pengabdian Kepada Masyarakat International Journal of Engineering and Emerging Technology Indonesian Journal of Electrical Engineering and Computer Science Jurnal Bangkit Indonesia Prosiding Seminar Nasional Ilmu Sosial dan Teknologi (SNISTEK) JURTIK: Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi
Zulfachmi, Zulfachmi
Sekolah Tinggi Teknologi Indonesia Tanjung Pinang
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Mechanical Engineering Social Sciences Other

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Klasifikasi Stingless Bee Menggunakan Metode Image Classification Berbasis OpenCV Zulfachmi, Zulfachmi; Zahara, Amalia; Hardinata, Danil
Jurnal Bangkit Indonesia Vol 13 No 2 (2024): Bulan Oktober 2024
Publisher : LPPM Sekolah Tinggi Teknologi Indonesia Tanjung Pinang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52771/bangkitindonesia.v13i2.321

Abstract

Stingless bees play an important role as natural pollinators in ecosystems and as producers of economically valuable products such as honey, propolis, and bee bread, which are utilized in the food and health industries. Identifying stingless bee species remains a challenge due to the many species with similar morphology, requiring more efficient and accurate methods. This study aims to develop an automatic system based on image processing technology for the identification of stingless bee species using Convolutional Neural Networks (CNN), TensorFlow, and the Single Shot MultiBox Detector (SSD) implemented with OpenCV. The test results showed that the developed system was capable of automatically detecting and classifying stingless bee species with an average accuracy of 98%, especially when the object was directly aligned with the camera. Out of 40 tested samples, 31 samples were recognized, and 9 samples were not, resulting in a success rate of 77.5%. Factors influencing detection success include the quality of training data, camera positioning, and morphological similarities between species.
Analisis Kepuasan Pengguna Pada SINTAK STT Indonesia Tanjung Pinang Menggunakan Pieces Framework Rohmaini, Rohmaini; Zulfachmi, Zulfachmi; As Saidah, Muthiah; Saputra, Aggry
Jurnal Bangkit Indonesia Vol 14 No 1 (2025): Bulan Maret 2025
Publisher : LPPM Sekolah Tinggi Teknologi Indonesia Tanjung Pinang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52771/bangkitindonesia.v14i1.433

Abstract

The SINTAK Reporting Information System at STT Indonesia Tanjung Pinang is a system used to record students' academic activity transcripts, which serve as a mandatory requirement for the final examination process, with a minimum score of 60 points. However, in its implementation, SINTAK still has several features that can be further developed to enhance user convenience. Additionally, an analysis of user satisfaction with this system has been conducted using the Pieces Framework. This study aims to analyze user satisfaction levels regarding SINTAK and identify features that need improvement. The research employs a qualitative approach with descriptive analysis and an inductive method. Data collection methods include observation, interviews, literature review, and questionnaire distribution using a purposive sampling technique involving 87 respondents who are system users. The results indicate that the six variables in the Pieces Framework received average scores reflecting user satisfaction: performance (3.75, SATISFIED category), information & data (3.67, SATISFIED category), economic (3.51, SATISFIED category), control & security (3.71, SATISFIED category), efficiency (3.87, SATISFIED category), and service (3.79, SATISFIED category). These findings suggest that while SINTAK has met user needs, there are opportunities for further development to improve the system's effectiveness and efficiency.
Analisis Sentimen Pengguna X Terhadap Kebocoran Data Pribadi Menggunakan Algoritma Naïve Bayes Classifier Stefanni, Stefanni; Zulfachmi, Zulfachmi; Zulkipli, Zulkipli; Saputra, Aggry
Jurnal Bangkit Indonesia Vol 14 No 1 (2025): Bulan Maret 2025
Publisher : LPPM Sekolah Tinggi Teknologi Indonesia Tanjung Pinang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52771/bangkitindonesia.v14i1.434

Abstract

Personal data breaches in Indonesia have become increasingly prevalent, posing significant risks to both individuals and businesses. With the rapid advancement of information technology, this issue has sparked intense discussions on social media, particularly on the X (Twitter) platform. This study aims to analyze user sentiment on X regarding personal data breaches by classifying opinions into positive, negative, and neutral sentiment categories. Additionally, this research evaluates the performance of the classification model using a confusion matrix to measure accuracy, precision, recall, and f1-score. The method used in this study is the Naïve Bayes Classifier, with 70% training data (433 data points) and 30% testing data (186 data points). The data was obtained through web crawling and preprocessed before performing sentiment classification. The results indicate that negative sentiment dominates with 43.54%, followed by positive sentiment at 28.50%, and neutral sentiment at 27.96%. Model evaluation achieved an accuracy of 98.92%, with negative precision 100%, neutral precision 100%, and positive precision 96.30%. Meanwhile, recall for both positive and negative sentiment reached 100%, while recall for neutral sentiment was 96.23%. The f1-score for negative, neutral, and positive sentiment was 1.0, 0.988, and 0.981, respectively. These findings demonstrate that the Naïve Bayes Classifier performs exceptionally well in classifying sentiment related to personal data breaches. The dominance of negative sentiment in the classification results reflects high public concern over this issue, highlighting the urgent need for enhanced data security measures and privacy protection in Indonesia.
Alat Pengontrolan Suhu Ruangan Serta Pemberian Pakan dan Air pada Produk NPD Kandang Ayam Menggunakan Arduino di Tanjung Uban Zulfachmi Zulfachmi; Atanasius Nong
Prosiding Vol 4 (2022): SNISTEK
Publisher : LPPM Universitas Putera Batam

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Abstract

Room temperature controller and chicken feeding using arduino designed to make it easier for farmers to control room and automatic feeding system. This research aims to maintain and control the temperature of the chicken coop which is a special obstacle for herders with an unstable and uncertain climate. This research uses devices such as Arduino Uno R3 Microcontroller, RTC, 4 Channel Relay, Water Level, DHT11, Van Theo, Servo, LCD. CM Sensor DHT 11 is used as a temperature gauge for the enclosure, this sensor will work to turn fan if temperature >32° and <24° then light will turn on. Feeding system moves automatically using servo motor as main driver in opening the feed tandon lid, the water level sensor serves as data input to arduino to instruct the relay to connect selenoide valve, as the main driver to open water access from the water toren. This room temperature control tool and feeding and water can help farmers to be able to do other activities to support family economy. This tool system uses low power electric current so it is very economical for chicken farmers.
Sistem Informasi Kebencanaan Daerah Kabupaten Bintan Berbasis Web dan MapBox API Mochammad Rizki Romdoni; Kevin Perdana; Zulfachmi Zulfachmi; Saharudin Saharudin
Prosiding Vol 4 (2022): SNISTEK
Publisher : LPPM Universitas Putera Batam

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Abstract

The complexity of disaster threats requires structuring and anticipating targeted and integrated development planning and programs, so an information system is needed that can help stakeholders to actively participate in disaster mitigation and management. In this study, a regional disaster information system (SIMKEDA) was developed which was designed to suit the phases of disaster management, namely pre-disaster, emergency response, and post-disaster. The representation of the disaster intensity is presented using a mapping platform from the Mapbox API. After being developed SIMKEDA can process data processing according to the phases of disaster management.
Aplikasi Pembelajaran Kosa Kata Untuk Anak Berkebutuhan Khusus Tunarungu Menggunakan Metode Algoritma Fisher-Yates Aggry Saputra; Zulfachmi Zulfachmi; Agung Alviandi
Prosiding Vol 5 (2023): SNISTEK
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/psnistek.v5i.8110

Abstract

Deafness is a type of special need that is of concern to the government in terms of equality in obtaining education as stated in Law of the Republic of Indonesia No. 20 of 2003 concerning National Education Chapter IV Article 5 paragraph (1) states that "Every citizen has the same right to obtain quality education" and paragraph (2) "Citizens who have physical, emotional, mental, intellectual and /or social rights to obtain special education”. The problem faced by deaf student is the difficulty of capturing the information conveyed by the teacher during the learning process. These limitations make it difficult for deaf children to master good and correct vocabulary. The aim of this research is to help student with special needs learn vocabulary through learning media. With this application, it is hoped that it can meet the vocabulary learning needs, especially for Deaf SMPLB students at SLB Karya Mandiri Kijang.
Monitoring Penyiraman Aglonema Lulaiwan Otomatis Berbasis IoT Dengan Sensor Soil Moisture dan DHT11 Menggunakan Aplikasi Telegram Zulfachmi Zulfachmi; Aggry Saputra; Juliadi Juliadi
Prosiding Vol 5 (2023): SNISTEK
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/psnistek.v5i.8119

Abstract

IoT-Based Automated Aglonema Lulaiwan Watering Monitoring With Soil Moisture and Dht11 Sensors Using the Telegram Application is designed to assist users in monitoring and watering plants. This study aims to inform the user that the plants lack water or not and in watering so as not to overwater. This study uses devices such as Base NodeMCU ESP8266, NodeMCU ESP8266, Sensor Soil Moisture, DHT11, Relay, Box 9V Battery, 9V Battery, LCD16x2 I2C, Mini Pump and telegram application, This Mini Pump works if the soil moisture is below 50%. This Aglonema plant watering system works automatically which uses a Soil Moisture sensor to measure soil moisture, DHT11 to check the temperature around the plant, The relay functions to turn off the Mini Pump, The Mini Pump works as a dispensing of water to the plants and the telegram application functions to provide notifications to check soil moisture and temperature around the plants. With this automatic watering system can help users determine soil moisture.
Development of IoT-based Automatic Water Drainage System on Fishing Boat to Improve Operational Efficiency Zulfachmi, Zulfachmi; Zulkipli, Zulkipli; Rahayu, Vita; Saputra, Aggry; As Saidah, Muthiah
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 3 (2025): June 2025
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i3.6222

Abstract

The profession of fishermen requires a reliable system to remove stagnant water from fishing boats, as manual drainage is time-consuming and inefficient. This study proposes an IoT-based automatic water drainage system without using an inverter or ultrasonic sensor, offering a cost-effective alternative. The system utilizes a water level sensor and a DC water pump, controlled via a smartphone application. The research model used is the Research and Development (R&D) model, through several stages, namely potential and problems, initial data needs, prototype creation, prototype validation, prototype revision, validation, implementation. Problems occur at the prototype stage, problems that must be revised include aspects of wiring, Power Suitability, Water Level Sensor Test, and the configuration of the relay used. The IOT-based automatic water drainage system can function based on the results of white-box testing including Hardware Implementation, Software Implementation, Implementation of Application Usage, and Automatic Drainage System Testing. This is indicated by the results of the Liquid Water Level Sensor Functionality test, DC Water Pump Functionality Test, Solar Panel and Battery Functionality Test, and IOT Functionality Test. IOT-based automatic water discharge systems on fishing boats are more efficient and cost-effective in the long run, although diesel engines offer more reliability under adverse weather conditions or in places with limited access to sunlight.
Systematic literature review of learning model using augmented reality for generation Z in higher education Zulfachmi, Zulfachmi; Rahim, Normala; Rizhan, Wan; Rahayu, Puji; Saputra, Aggry
Indonesian Journal of Electrical Engineering and Computer Science Vol 39, No 2: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v39.i2.pp1109-1120

Abstract

Higher education is evolving with innovations aimed at enhancing the quality of learning, and one prominent innovation is the integration of augmented reality (AR) technology into the learning process. AR merges real-world and virtual elements in real-time, creating interactive and immersive educational experiences. This technology supports the display and interaction with virtual objects, enhancing engagement and comprehension among students. However, effective integration of AR in higher education faces challenges such as limited technological infrastructure, the need for skilled lecturers, and the adaptation of teaching methods to suit generation Z's learning preferences. Despite their technological proficiency, many educational institutions struggle to optimally implement innovations like AR. This systematic literature review aims to explore and identify an AR-based learning model suitable for generation Z in higher education. Findings suggest that AR technology can significantly enhance learning by offering engaging visualizations and interactive experiences, aligning well with generation Z's characteristics and learning styles. Effective AR implementation requires suitable platforms, such as mobile, desktop, wearable, and projection platforms, each offering unique benefits. By designing AR learning models that cater to generation Z, educational institutions can improve learning outcomes and experiences.
Pembangunan Aplikasi E-Learning Berbasis Android sebagai Media Pembelajaran di SMA Negeri 1 Bintan Menggunakan ADDIE Model Zulfachmi, Zulfachmi; Zulkipli, Zulkipli; Rahmad, Abdul; Derry, Derry
Prosiding Vol 6 (2024): SNISTEK
Publisher : LPPM Universitas Putera Batam

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

Abstract

Education in the digital era has undergone significant transformation along with the development of information and communication technology that has presented various solutions to improve the effectiveness and efficiency of the learning process. The learning process at SMA Negeri 1 Bintan is still dominated by conventional methods that have limitations in flexibility. This study aims to develop an Android-based e-learning application as a solution to overcome these limitations. By using the ADDIE (Analysis, Design, Development, Implementation, and Evaluation) development model, this study identifies the needs of students and teachers, designs the interface and learning materials, develops the application, and implements it at SMA Negeri 1 Bintan. The evaluation was carried out through black box testing using all pair testing, equivalence partitioning, and use case testing techniques. The test results show that this e-learning application has good and stable performance in various usage scenarios. This application is suitable for use as a learning medium at SMA Negeri 1 Bintan, meets the needs of digital learning, and supports an effective learning process both online and offline.
Co-Authors Abdul Rahmad, Rahmad Abdulrahmad, Abdulrahmad Aggry Saputra Aggry Saputra Aggry Saputra Aggry Saputra Aggry, Aggry Saputra Agung Alviandi Andi Firman Syahputra Andry Iman Juliswanto Anggraini Eka Saputri AS SAIDAH, MUTHIAH Atanasius Nong Aurora Elsa S F Bayu Indra Prasetyo Candlekie, Candlekie Danandjaya Saputra Danandjaya Saputra Dedy Jauhari Derry Derry Desi Desi, Desi Devi Asri Yana Vita Dwi Nurul Huda Elviana Elviana Hardinata, Danil Henni Afra Saputri Ilivia Ilivia Juan Reza Juliadi Juliadi Kevin Perdana Kevin Perdana Kevin Perdana Komang Oka Saputra l Gusti Ngurah Janardana Lie Jasa Made Sudarma Mella Amanda Mochammad Rizki Romdoni Muhammad Rizky Fatahillah Mulyadi Tan Muthiah As Saidah Naufal Muhammad Kautsar Puji Rahayu Rahayu, Vita Rahim, Normala Rahmad, Abdul Rahmat Rahmat Raudhaliani Raihan Rena Amalia Hasibuan Retno Febriani Revanda Fitra Inanta Rizhan, Wan Rohmaini, Rohmaini Saharudin Saharudin Samuel Belman Silalahi Saputra, Aggry Stefanni, Stefanni Sugeng Riyanto Tio Adyatma Titania Pricillia Titania Pricillia Wanhendra Yanu Prapto Sudarmojo Zahara, Amalia Zulkipli Zulkipli Zulkipli Zulkipli Zulkipli