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Hafizh Al Kautsar Aidilof
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Fakultas Teknik Program Studi Teknik Informatika Universitas Malikussaleh Jl. Batam. Kampus Bukit Indah. Gedung Prodi Teknik Informatika. Blang Pulo, Lhokseumawe, Aceh
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TECHSI - Jurnal Teknik Informatika
Published by Universitas Malikussaleh
ISSN : 23024836     EISSN : 26146029     DOI : https://doi.org/10.29103/techsi.v13i2.3548
Core Subject : Science, Education,
Computer Science & IT Decision Sciences, Operations Research & Management Education Other
Focus and Scope The fields covered in the scope of TECHSI include: Artificial Intelligence Computer Graphics and Animation Image Processing Cryptography Computer Network Security Modelling and Simulation Information Retrieval Information Filtering Multimedia Bioinformatics and Telemedicine Computer Architecture Design Computer Vision and Robotics Parallel and Distributed Computing Operating System Compiler and Interpreter Information System Game Numerical Methods Mobile Computing Natural Language Processing Data Mining Cognitive System Digital Speech Processing Expert System Geographical Information System Computing Theory
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 237 Documents
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PENERAPAN PRINSIP INTERAKSI MANUSIA DAN KOMPUTER DALAM PENGEMBANGAN APLIKASI PERBANKAN: STUDI KASUS BANK ACEH CABANG SIGLI Al Mubarak, Muhammad; Salat, Junaidi; Agustiansyah, Muhammad Alif; Fahmi, Husnul; Nurkhalikin, Ikhsan
TECHSI - Jurnal Teknik Informatika Vol. 16 No. 1 (2025)
Publisher : Teknik Informatika Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/techsi.v16i1.19808

Abstract

Dalam era digital, perbankan modern dituntut untuk mengembangkan aplikasi yang dapat memfasilitasi kebutuhan nasabah secara efektif dan efisien. Penelitian ini bertujuan untuk menganalisis penerapan prinsip Interaksi Manusia dan Komputer (IMK) dalam pengembangan aplikasi perbankan di Bank Aceh. Fokus utama dari studi ini adalah mengevaluasi kegunaan (usability), aksesibilitas (accessibility), dan pengalaman pengguna (user experience) pada aplikasi perbankan yang disediakan. Metode penelitian melibatkan survei dan wawancara dengan nasabah serta pengujian antarmuka aplikasi untuk mengidentifikasi tantangan dan kebutuhan pengguna. Hasil penelitian menunjukkan bahwa meskipun aplikasi perbankan Bank Aceh cukup memenuhi kebutuhan dasar nasabah, beberapa area perlu peningkatan, khususnya dalam hal navigasi dan aksesibilitas untuk pengguna dengan keterbatasan tertentu. Penerapan lebih lanjut prinsip-prinsip IMK dapat membantu meningkatkan pengalaman pengguna, efisiensi penggunaan, dan kepuasan nasabah secara keseluruhan. Rekomendasi perbaikan aplikasi diberikan untuk memastikan layanan perbankan digital yang lebih intuitif dan inklusif.
ANALISIS POLA PENERIMA BANSOS KOTA MEDAN DENGAN METODE ASSOCIATION RULE MENGGUNAKAN ALGORITMA APRIORI Chan, Fajar Rivaldi
TECHSI - Jurnal Teknik Informatika Vol. 16 No. 1 (2025)
Publisher : Teknik Informatika Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/techsi.v16i1.20454

Abstract

Penelitian ini bertujuan untuk meningkatkan efektivitas distribusi Bantuan Sosial (Bansos) di Kota Medan dengan menganalisis data menggunakan metode Association Rule berbasis algoritma Apriori. Data historis penerima Bansos dianalisis untuk mengungkap pola keterkaitan antar atribut seperti pendapatan, pengeluaran, Kondisi tempat tinggal, dan kapasitas listrik. Hasilnya, ditemukan aturan asosiasi dengan nilai Confidence hingga 100%, yang mendukung pengambilan keputusan berbasis data. Sistem berbasis web yang dikembangkan mempermudah analisis dan visualisasi pola distribusi, sehingga membantu distribusi bantuan menjadi lebih tepat sasaran. Penelitian ini menunjukkan potensi data mining dalam meningkatkan efisiensi dan transparansi distribusi bantuan sosial.
COMPARISON OF THE MFEP METHOD WITH THE SAW METHOD TO DETERMINE POTENTIAL RECIPIENTS OF THE FAMILY HOPE PROGRAM (PKH) ASSISTANCE Rina, Oktarina
TECHSI - Jurnal Teknik Informatika Vol. 16 No. 1 (2025)
Publisher : Teknik Informatika Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/techsi.v16i1.20869

Abstract

Family Hope Program Assistance (PKH) is a conditional cash transfer program in an effort to improve the quality of human resources launched by the government in 2007. Koto Balingka Subdistrict is one of the sub-districts in West Pasaman Regency, West Sumatra, where most of the population is recipients of PKH Assistance. This study intend to create an application that can help PKH assistance assistants in Koto Balingka District to determine families who are entitled to PKH assistance using the Decision Support System (SPK). PHP is used as the programming language in this study and MySQL as the database. This study also intend to compare the final results of the ranking of the MFEP method and the SAW method. The data sample used in this study was 1000 actual data from residents of Koto Balingka District, West Pasaman Regency, where there were 715 families who were eligible to receive PKH assistance while 285 families were not eligible. The criteria used are children aged 0-6 years, SD/MI, SMP/MTS, SMA/MA, elderly/severe disabilities, income, type of house floor, type of house wall, type of roof and water source with a total weight value of 1. The results of the calculation using the MFEP method were 660 eligible PKH beneficiaries and 340 ineligible recipients of PKH assistance, the percentage of conformity with the test data was 93.5%. Mrs. Siti Khodijah ranked first who deserved to receive PKH assistance using the MFEP method with a final score of 1, while the results of the calculation of the SAW method who deserved to receive PKH assistance were 128 people and 872 people who were not eligible to receive PKH assistance, the percentage of conformity with the test data was 26, 5%. Mrs. Marwah Syafwani was the first rank eligible to receive PKH assistance using the SAW method with a final score of 0.925.
SISTEM KONTROL KUMBUNG JAMUR MERANG BERBASIS IOT DENGAN METODE FUZZY LOGIC TSUKAMOTO Safira, Hanifa
TECHSI - Jurnal Teknik Informatika Vol. 16 No. 1 (2025)
Publisher : Teknik Informatika Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/techsi.v16i1.20983

Abstract

Abstrak - Penelitian ini bertujuan untuk mengembangkan sistem kontrol suhu dan kelembapan kumbung jamur merang berbasis Internet of Things (IoT) dengan metode Fuzzy Logic Tsukamoto. Jamur merang (Volvariella volvacea) merupakan komoditas pertanian bernilai ekonomi tinggi di Indonesia karena permintaan konsumen yang terus meningkat. Sistem ini dirancang untuk memantau dan mengontrol parameter suhu dan kelembapan secara real-time guna menciptakan kondisi lingkungan optimal untuk pertumbuhan jamur merang. Dalam penelitian ini, sensor DHT22 digunakan untuk membaca suhu dan kelembapan, sementara teknologi IoT memungkinkan data dipantau dari jarak jauh melalui server web. Metode Fuzzy Logic Tsukamoto diterapkan untuk menghasilkan keputusan yang presisi dalam pengendalian perangkat keras seperti kipas mini dan automizer. Hasil pengujian menunjukkan bahwa sistem memiliki tingkat akurasi pengendalian sebesar 99%, dengan kemampuan untuk menjaga stabilitas suhu dan kelembapan sesuai kebutuhan jamur merang.  Penelitian ini memberikan manfaat signifikan bagi petani, seperti peningkatan produktivitas budidaya, pengurangan kerusakan miselium, dan efisiensi penggunaan sumber daya seperti air dan energi. Sistem ini juga membantu petani dalam memantau kondisi kumbung secara efisien, meningkatkan hasil panen, serta mengurangi risiko kerugian. Dengan penerapan teknologi modern, penelitian ini berkontribusi pada kesejahteraan petani dan keberlanjutan pertanian di Indonesia.Kata Kunci: Jamur Merang, Fuzzy Logic Tsukamoto, Internet Of Things, Kontrol Suhu, Kontrol Kelembapan.
Analisis Antarmuka Pengguna pada Sistem Informasi Desa (OpenSID) Gampong Keubang Kabupaten Pidie dalam Perspektif Interaksi Manusia dan Komputer Ananda Ramadana, Rinov Ananda Ramadana; Salat, Junaidi; Qadri; Hikmal, Fhandi; Nursilul, Cut
TECHSI - Jurnal Teknik Informatika Vol. 16 No. 2 (2025)
Publisher : Teknik Informatika Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/techsi.v16i2.25159

Abstract

This study aims to analyze the user interface of the Village Information System (OpenSID) in Gampong Keubang, Pidie Regency, based on Human-Computer Interaction (HCI) principles. The research uses direct observation and documentation of system interfaces such as the dashboard, village service menus, population data, and administrative features. The analysis focuses on usability aspects, including ease of use, design consistency, text readability, navigation, and user needs compliance. The findings indicate several issues, such as unstructured layout, icons without text labels, low color contrast, and important information that is not immediately visible. However, the system has sufficiently supported village officials in managing data digitally. This study is expected to provide recommendations for improving the OpenSID interface design to be more user-friendly and in line with user needs.
PERAN VISUALISASI DATA DAN KECERDASAN BUATAN DALAM MENINGKATKAN PENGALAMAN PENGGUNA PADA SISTEM INFORMASI AKADEMIK Muhammad Farid; Junaidi Salat; Zikra Hayati; Mauly Nadia; Dellia Maulidar
TECHSI - Jurnal Teknik Informatika Vol. 16 No. 2 (2025)
Publisher : Teknik Informatika Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/techsi.v16i2.25178

Abstract

Penelitian ini mengembangkan chatbot akademik berbasis kecerdasanbuatan yang terintegrasi dengan visualisasi data interaktif dalam SistemInformasi Akademik (SIA). Sistem dibangun menggunakan Python dengandata JSON sebagai sumber informasi akademik mahasiswa. Hasil evaluasimenunjukkan chatbot mampu menjawab pertanyaan akademik secarakontekstual dengan waktu respons rata-rata 1,8 detik dan akurasi 88%.Integrasi AI dan visualisasi data terbukti efektif meningkatkan kecepatanserta pemahaman pengguna terhadap informasi akademik. Sistem inidiharapkan dapat membantu mahasiswa dan dosen dalam memperolehdata akademik secara cepat, akurat, dan efisien.
A, PENGEMBANGAN SISTEM DETEKSI WAJAH MENGGUNAKAN DEEP LEARNING UNTUK APLIKASI ABSENSI OTOMATIS DI PERUSAHAN ARIS MOTOR MUHAMAD BAHRUL ULUM
TECHSI - Jurnal Teknik Informatika Vol. 16 No. 2 (2025)
Publisher : Teknik Informatika Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/techsi.v16i2.25212

Abstract

Employee attendance is one of the important aspects of company management. However, the manual attendance process often causes issues such as queues, inaccurate record-keeping, and potential fraud. Therefore, this study aims to develop an automated attendance system based on facial recognition by utilizing Deep Learning technology, specifically the Convolutional Neural Network (CNN) method, using the Python programming language.This system is designed to automatically detect and recognize employees' faces through a camera, so that the attendance process can be carried out more quickly, efficiently, and with minimal contact. The model training process is conducted by collecting employee facial data, which is then processed into embeddings using CNN. Subsequently, the facial detection results are matched with the data stored in the database.This study was conducted at Aris Motor company as the trial location for the system. The test results showed that the system was capable of recognizing This research was conducted at Aris Motor company as the trial location for the system. The test results showed that the system was able to recognize employees' faces with a good level of accuracy and provide feedback such as “Welcome [name]” when they first check in, as well as detect if a face has previously checked in or is not recognized at all.With this system, it is expected that the attendance process at Aris Motor will become more modern, practical, and reliable, while also serving as an initial step towards the digitalization of attendance systems in the workplace.Keywords: Automatic Attendance, Face Detection, Deep Learning, CNN, Python, Aris Motor

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