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Framework Data-Driven Customer Analytics pada Sistem Informasi Reservasi dan Transaksi untuk Peningkatan Kinerja Barbershop Muhammad Hafizh Al-Ghifari Rangkuti; Septia Harliansyah; Solly Aryza; Zulham Sitorus
JET (Journal of Electrical Technology) Vol 11, No 1 (2026): EDISI FEBRUARI
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/jet.v11i1.13799

Abstract

Industri barbershop menghadapi tantangan dalam meningkatkan kualitas layanan dan efisiensi operasional seiring meningkatnya kebutuhan pelanggan terhadap layanan yang cepat, personal, dan berbasis digital. Sebagian besar sistem reservasi dan transaksi yang digunakan saat ini masih berfokus pada pencatatan operasional tanpa memanfaatkan data pelanggan sebagai sumber informasi strategis untuk mendukung pengambilan keputusan. Penelitian ini bertujuan untuk mengembangkan Framework Data-Driven Customer Analytics yang terintegrasi dengan sistem informasi reservasi dan transaksi guna meningkatkan kinerja operasional dan kualitas layanan pada usaha barbershop. Framework yang diusulkan memanfaatkan data reservasi, transaksi, frekuensi kunjungan, preferensi layanan, dan pola perilaku pelanggan untuk menghasilkan informasi analitik yang mendukung pengambilan keputusan berbasis data. Pengembangan sistem dilakukan menggunakan metode Waterfall yang meliputi analisis kebutuhan, perancangan framework, implementasi sistem, dan pengujian. Evaluasi sistem dilakukan melalui pengujian fungsional menggunakan Black Box Testing serta analisis kinerja berdasarkan indikator operasional dan layanan pelanggan. Hasil penelitian menunjukkan bahwa framework yang dikembangkan mampu mengintegrasikan data pelanggan secara efektif, menyediakan informasi analitik yang relevan bagi pengelola, meningkatkan efisiensi proses reservasi dan transaksi, serta mendukung penyusunan strategi layanan yang lebih tepat sasaran. Kontribusi penelitian ini terletak pada pengembangan model customer analytics berbasis data yang dapat dimanfaatkan sebagai dasar pengambilan keputusan untuk meningkatkan daya saing dan keberlanjutan bisnis barbershop di era transformasi digital. Kata Kunci: Customer Analytics, Data-Driven Framework, Sistem Informasi Reservasi, Sistem Transaksi, Barbershop, dan Pengambilan Keputusan Berbasis Data.
Application of the C45 Algorithm to Predict Student Academic Scores Andi Ernawati; Zulham Sitorus; Ananda Aulia; Ayu Ofta
Bulletin of Information Technology (BIT) Vol 5 No 2 (2024): Juni 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v5i2.1251

Abstract

Student grades are the results of teaching and learning activities on a campus. So you can know your target for completing your studies. This research uses the C4.5 Algorithm which can help predict the results of student assessments. The dataset consists of student achievement index, place of residence, discipline, lecturer's role in lectures. From 40 datasets we have obtained a decision on student academic achievement and obtained performance results from accuracy results of 86.36% with class precision predicate Yes=84.62%, No=88.89% and class recall Yes=91.67%, No=80.00%.
Perancangan Antarmuka Website Labusel Creative sebagai Media Informasi Daerah Menggunakan Metode UCD Rangga Rafandi; Zulham Sitorus; Barany Fachri
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 4 No. 3 (2026): Februari 2026
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i3.828

Abstract

Bobabox, sebuah usaha minuman di Medan, menghadapi tantangan operasional akibat proses transaksi dan manajemen inventaris yang masih dilakukan secara manual. Proses ini rentan terhadap kesalahan pencatatan, ketidakakuratan data stok, dan menghambat analisis data penjualan untuk pengambilan keputusan strategis. Penelitian ini bertujuan untuk merancang dan membangun sebuah aplikasi Point of Sale (POS) berbasis website sebagai solusi. Metode perancangan yang digunakan adalah model Waterfall, yang meliputi tahapan analisis, perancangan dengan pemodelan UML, implementasi, dan pengujian. Aplikasi dikembangkan menggunakan framework Laravel dan diuji menggunakan metode Black Box Testing. Hasil dari penelitian ini adalah sebuah sistem Web-POS yang fungsional, mencakup modul manajemen data, modul transaksi interaktif, dan modul pelaporan dinamis. Berdasarkan pengujian, seluruh fungsionalitas sistem dinyatakan Valid. Kesimpulannya, aplikasi Web-POS yang dibangun mampu menjadi solusi efektif untuk meningkatkan efisiensi operasional, akurasi data, dan mendukung pengambilan keputusan berbasis data guna mengoptimalkan penjualan di Bobabox
Implementasi Sistem Arsip Elektronik Dalam Meningkatkan Efisiensi Operasional Di Smk Gelora Jaya Nusantara Medan Fikri Zuhaili Simbolon; Fahmi Izhari; Zulham Sitorus
Jurnal Minfo Polgan Vol. 13 No. 2 (2024): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v13i2.14157

Abstract

Penelitian ini bertujuan untuk menganalisis implementasi sistem arsip elektronik dalam meningkatkan efisiensi operasional di SMK Gelora Jaya Nusantara Medan. Sistem arsip elektronik merupakan teknologi yang menggantikan metode penyimpanan dokumen konvensional berbasis kertas dengan format digital yang lebih efisien dan mudah diakses. Implementasi sistem ini diharapkan dapat mengurangi waktu dan biaya yang diperlukan untuk mencari dan mengakses dokumen, meningkatkan keamanan data, serta mendukung inisiatif ramah lingkungan dengan mengurangi penggunaan kertas. Penelitian ini menggunakan metode kualitatif dengan pendekatan studi kasus untuk mengidentifikasi manfaat dan tantangan yang dihadapi dalam penerapan sistem arsip elektronik di lingkungan sekolah. Hasil penelitian menunjukkan bahwa implementasi sistem arsip elektronik di SMK Gelora Jaya Nusantara Medan berhasil meningkatkan efisiensi operasional, mengurangi biaya penyimpanan fisik, dan meningkatkan aksesibilitas serta keamanan dokumen. Namun, terdapat beberapa tantangan seperti kebutuhan pelatihan staf dan pemeliharaan sistem yang perlu diperhatikan untuk memastikan keberlanjutan dan efektivitas sistem.
Predicting The Effectiveness of Online Exam Platforms With LMS to Improve Online Learning Using The Cobit 5 Method Zulham Sitorus; Hindra Syahputra; Bambang Sugito; Ibrahim
Journal of Information Technology, computer science and Electrical Engineering Vol. 1 No. 2 (2024): June-September 2024
Publisher : Yayasan Sinergi Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jitcse.v1i2.19

Abstract

Distance learning today is not just about getting online content and creating interactive and collaborative learning experiences. The aim of this research is to analyze the extent to which the online test platform is effective using Cobit Method 5. The respondents in this study were 50 students in computer systems and 10 lecturers in computer systems. The research methods used are governance audits: planning, field inspection, reporting, and follow-up. With data analysis using SPSS 20. The results of the study refer to the calculation; the level of ability (performance) obtained is a figure of 4.02, which belongs to the established level, which indicates that the process has been implemented using a defined process and has the ability to achieve the desired process result (result). While the expected level of capacity obtains a number of 4.35, which is included in the predictable level, indicating that processes have been started and operated with defined limits ensures that the performance of the process helps the organization's goals and process objectives.
Blocking Prohibited Sites Using Proxy Server In Mikrotik And Squid Proxy Debian Server At The Nurul Anwar Education Foundation Tanjungbalai City Zulham Sitorus; Mhd Arfan Sitorus; Didi Riswan``; Heri Eko Rahmadi Putra
Journal of Information Technology, computer science and Electrical Engineering Vol. 1 No. 2 (2024): June-September 2024
Publisher : Yayasan Sinergi Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jitcse.v1i2.20

Abstract

After the internet was discovered, humans were greatly helped by internet access, both in the economic sector and in the dissemination of news or information. However, the more the internet develops, the more uses the internet has, and the internet is often misused by internet users, such as online gambling, pornography and violent content. So if there are no restrictions on accessing content or websites that contain elements that are not good and can be accessed very easily by internet users, it is feared that if minors want to open these websites, it is feared that it could damage morals. children who are still immature in using the internet, therefore a Proxy Server is needed which aims to filter internet access from prohibited sites which are likely to be accessed by users who are immature in using the internet and provide healthy internet implementation by adding a proxy server as filtering websites. filtering or blocking websites that are inappropriate for internet users. The results of this research are that the network security tool using a proxy works if there is an attempt to open a website listed on the list of websites that are not allowed to be accessed and the proxy server network security system, there is no limit to how many websites can be blocked.
Analysis of User Satisfaction in the Development of ICT Learning Media Using AR-Based Assemblr Edu with the PIECES Framework Method Zulham Sitorus; Ami Abdul Jabar; Maida Indrayani; Sipra Barutu; Meiarni Situkkir
Journal of Information Technology, computer science and Electrical Engineering Vol. 1 No. 2 (2024): June-September 2024
Publisher : Yayasan Sinergi Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jitcse.v1i2.56

Abstract

This study analyzes user satisfaction in the development of Augmented Reality (AR) learning media using the Assemblr Edu application. The method employed is the PIECES Framework, which includes the variables of Performance, Information, Economics, Control and Security, Efficiency, and Service. The sample consists of 30 respondents, including 1 teacher and 29 students from class X TKJ 1 at SMKS Panca Budi Medan. Data were collected through a questionnaire utilizing a Likert scale to measure satisfaction levels. The analysis results indicate that the respondents' satisfaction level is VERY SATISFIED. This research is expected to contribute to the development of AR-based learning media in education, enhance understanding of user satisfaction with the Assemblr Edu application, and encourage the use of similar technologies in other educational institutions.
Comparison of Accuracy between Naive Bayes and Decision Tree Methods for Property Tax (PBB-P2) Compliance in Tebing Tinggi City Zulham Sitorus; Sugeng Pranoto; Sulis Sutiono; Sarifuddin
Journal of Information Technology, computer science and Electrical Engineering Vol. 1 No. 2 (2024): June-September 2024
Publisher : Yayasan Sinergi Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jitcse.v1i2.57

Abstract

This research aims to compare the accuracy of the Naïve Bayes and Decision Tree methods in predicting Land and Building Tax (PBB-P2) compliance in Tebing Tinggi city. The data used includes tax and payment determination for 2022 and 2023. The methods applied include data preprocessing, use of an inconvenience matrix for evaluation, as well as measuring accuracy with various data sharing ratios (80:20, 75:25, 70:30, 60:40, and 50:50). The research results show that the Decision Tree model consistently has much higher accuracy compared to the Naïve Bayes model, with accuracy reaching 99% at all data split ratios, while Naïve Bayes shows accuracy between 54% and 56%. The confusion matrix supports this finding by showing that the Decision Tree model has higher True Positives and True Negatives, and lower False Positives and False Negatives compared to Naïve Bayes. In conclusion, the Decision Tree method is more effective in classifying tax compliance compared to Naïve Bayes so that it is a more optimal choice for a tax compliance classification system based on the accuracy and performance obtained from this research.
Analysis of Online Shopping Addiction Level Using the K-nearest Neighbor Algorithm at SMK Negeri 1 Tanjung Pura Zulham Sitorus; Alviona Marsya; Desy Ramatika; Ramli S Siburian
Journal of Information Technology, computer science and Electrical Engineering Vol. 1 No. 2 (2024): June-September 2024
Publisher : Yayasan Sinergi Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jitcse.v1i2.62

Abstract

The rapid development of technology has significantly had an indirect impact on all aspects and dimensions of human life. Online shopping is a form of technological progress. Online shopping is all activities related to online transactions that take place via the internet or other electronic networks. The online shopping process no longer requires face-to-face contact but can be done simply by communicating via the internet. Based on the researcher's preliminary study, at SMK Negeri 1 Tanjung Pura many students spend time shopping online. This online shopping is not only done during break times or after school but is also done during class hours. Based on researchers' observations, students at SMK Negeri 1 Tanjung Pura who like online shopping have an impact on their education. Their study time is reduced, causing their grades to drop. Apart from that, online shopping affects its users, it can cause relational and social problems which have made children rarely socialize with their surroundings, withdraw from social interactions and ultimately make their lives uncontrollable because online shopping takes over their minds. Therefore, through this task, an analysis of the level of online shopping addiction was made using the K-Nearest Neighbor method. The data used is data from students at SMA Negeri 1 Tanjung Pura and the results of this data will be classified using the K-Nearest Neighbor algorithm to find out whether someone is addicted to online shopping based on the level of addiction. The results of the analysis of the level of online shopping addiction in these students, whether they have low addiction or high addiction.
Implementation of the Insertion Sort Algorithm to Sort Positive Integers in Ascending Order Using Flowgorithm Zulham Sitorus; Dhimas Prayogi; M. Azhari Rizko; Ade Guna Suteja; Muhammad Raihan Harahap
Journal of Information Technology, computer science and Electrical Engineering Vol. 1 No. 3 (2024): October 2024
Publisher : Yayasan Sinergi Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jitcse.v1i3.120

Abstract

The advancement of information technology has had a significant impact on various fields, including education. One area that has been greatly influenced is the teaching of programming algorithms, where technology helps simplify the understanding of fundamental concepts, such as data sorting algorithms. This study focuses on the implementation of the Insertion Sort algorithm using the Flowgorithm application to facilitate the understanding of the data sorting process. Flowgorithm is a software tool that enables the creation of flowcharts to visually represent the steps of an algorithm, which can then be translated into programming languages. The Insertion Sort algorithm was chosen due to its simplicity and its effectiveness in sorting small datasets. This study covers the design and implementation of the algorithm using Flowgorithm, testing with positive integer data, and verifying the correctness of the sorting results through manual calculations. The test results show that the algorithm works correctly, producing the proper sequence from unsorted data. Additionally, the pseudocode generated from the Flowgorithm design can be translated into a programming language like Python. This research contributes to enhancing the understanding of algorithmic concepts, particularly sorting algorithms, by using Flowgorithm as an effective learning tool.
Co-Authors , Arpan , Fery Anugerah A.A. Ketut Agung Cahyawan W Abda Abda Abdul Razaq Ade Alma Yuni Ade Guna Suteja Ade Surya Bakti Pane Aditya Ramadhani Afrizal, Henri Afrizal, Sandi Aldi Kesuma Alvian Alvian Alviona Marsya Ami Abdul Jabar Ami Abdul Jabar Amnisuhaila Abarahan Ananda Aulia Ananda Aulia Andi Ernawati Andi Ernawati Andi Ernawati Andysah Putera Utama Siahaan Angkat, Chairul Indra Anshari, Ari Antoni, Robin Anzas Ibezato Zalukhu Ardya, Dwika Arief, Muhammad Arif Rahman Astri Mutia Rahma Aulia, Ananda Ayu Ofta Ayu Ofta Sari Ayumi Kartika Sari azwan, m Baehaqi Bambang Sugito Bambang Sugito Batubara, Supina Boy Rizki Akbar Boy Rizki Akbar Br Tarigan, Sella Monika Chelfina Utami Chelfina Utami Daniel Happy Putra Danu Wardhana Azhari Darmeli Nasution Desy Ramatika DEWI SARTIKA Dhimas Prayogi diansyah, Suhar Didi Riswan`` Diva, Krisna Dwina Pri Indini Eko Hariyanto Eko Hariyanto Eko Hariyanto Eko Wahyudi Erbin Sitorus Fachri, Barany Fahmi Izhari Fahmi Kurniawan Fajar Aulia Lubis Feby Wulandari Sembirinng Fery Anugerah Fikri Zuhaili Simbolon Gilang Ramadhan Gultom, Ananda Christianto Hafiz Rodhiy Haliza, Siti Nur Hamzah, Iswadi Harmiati Bungsu Bangun Hartono Sinambela, Sugi Helmy, Ahmad Hendra Harnanda Hendra Utama Heni Wulandari Heri Eko Rahmadi Putra Heri Kurniawan Hilal Prayogi Hindra Syahputra Hrp, Abdul Chaidir Ibezato Zalukhu, Anzas Ibrahim Ika Devi Perwitasari Indra Angkat, Chairul IQBAL , MUHAMMAD Irwan Syahputra Irwan Syahputra, Irwan Josua M.H Simaremare Khairul Khairul Khairul Khairul, Khairul Kiki Artika Kurniawan, Fahmi Laila Maghfirah Laila Maghfirah Larius Ambasador Parlindungan Leni Marlina Leni Marlina Lia Nazliana Nasution Limbong, Yohannes France M Imam Santoso M. Azhari Rizko M. Rasyid M.Rizki Khadafi Maida Indrayani Mardiah, Nia Marzuki Sianturi, Ismail Maulian Saputra Meiarni Situkkir Melva Sari Panjaitan Meri Sri Wahyuni Mhd Arfan Sitorus Mhd Arie Akbar Mhd Ihsan Abidi Mohammad Yusuf Mohammad Yusuf, Mohammad Muhammad Fahriza Muhammad Fahriza Muhammad Hafizh Al-Ghifari Rangkuti Muhammad Iqbal Muhammad Iqbal Muhammad Irfan Sarif Muhammad Raihan Harahap Muhammad Syahputra Novelan Muhammad Wahyudi Nahampun, Natalia Nainggolan, Andreas Ghanneson Nainggolan, Irfan Nazar Saputra, Risfan Nelviony Parhusip Nurwijayanti Oktavia Tumangger Parhusip, Nelviony Pasaribu, Ryan Fahreza Pebri Ramadani Pranoto, Sugeng Putra, Khairil Ragil Satya Adi W Rahima Br Purba Rahmat Hidayat Rahmat Hidayat Raihan Risky Ramadani, Pebri Ramadhan, Aditya Ramadhani, Aditya Ramli S Siburian Rangga Rafandi Razaq, Abdul Retno Mutiara Rezkinah Rambe Rian Farta Wijaya Rian Farta Wijaya Rian Putra, Randi Rika Uli Samosir, Siska Risky, Raihan Robin Antoni Rowiyah Asengbaramae Rusydi Tanjung , Miftah Ryan Fahreza Pasaribu Sahputra, Fajar Said Oktaviandi Sarifuddin Septia Harliansyah Septiani, Nadya Sianturi, Ismail Sibarani, Dina Marsauli Simamora, Siska Simorangkir, Elsya Sabrina Asmita Sinambela, Sugi Hartono Sinyo Andika Nasution, Ahmad Sipra Barutu Sipra Barutu Siregar, Andree Risky Yuliansyah Sitepu, Fernando Siti Nurhaliza Sofyan Siti Nurhaliza Sofyan Sitinur, Siti Nurhaliza Sofyan Sitompul, Jelly Rolley Sofyan, Siti Nurhaliza Solahuddin Asri Ritonga Solly Ariza Solly Ariza Lubis Solly Aryza Sri Wahyuni, Meri Sugeng Pranoto Suhardiansyah Suhardiansyah Suhardiansyah Suherman Suherman Sukrianto, Sukrianto Sulis Sutiono Susilawati Yahya Sutiono, Sulis Syahputri, Maulisa Syamsiar, Syamsiar T, Siti Isna Syahri Tanjung, Miftah Rusydi Tiara Aninditha Utama, Hendra Vina Arnita Vivin Yulfia Sarah Wahyu Agung Pratama Wahyuni, Meri Sri Wijaya, Rian Farta Wirda Fitriani Yasri, Afif Yulianus Zai Zulfahmi Syahputera Zulfahmi Syahputra Zulfahmi Zulfahmi Zulfahmi Zulfahmi