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All Journal Jurnal Simetris Sistemasi: Jurnal Sistem Informasi Creative Information Technology Journal Faktor Exacta AL-ATHFAL : JURNAL PENDIDIKAN ANAK Jurnal Mantik Penusa JURIKOM (Jurnal Riset Komputer) Jurnal ICT : Information Communication & Technology Respati Madani : Indonesian Journal of Civil Society Jurnal Teknik Informatika (JUTIF) Jurnal Abdi Masyarakat Indonesia Aptekmas : Jurnal Pengabdian Kepada Masyarakat JURNAL SIPISSANGNGI: Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Masyarakat Bangsa Indonesian Journal of Early Childhood Educational Research Inovasi Jurnal Pengabdian Masyarakat (IJPM) MUALLIMUN : JURNAL KAJIAN PENDIDIKAN DAN KEGURUAN Jurnal Pendidikan Sains dan Teknologi Terapan Jurnal Al-Husna
Norhikmah Norhikmah
Sistem Informasi, Fakultas Ilmu Komputer, Universitas AMIKOM Yogyakarta, Indonesia
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Pelatihan dan Pemanfaatan Video Company Profile sebagai Media Promosi pada Taman Belajar di Karanganyar Norhikmah, Norhikmah; Rianda, Farhan Riski
Inovasi Jurnal Pengabdian Masyarakat Vol 1 No 3 (2023): IJPM - Desember 2023
Publisher : CV Firmos

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54082/ijpm.243

Abstract

Pada lembaga pendidikan yang berbasis swadaya masyarakat atau gratis memiliki stigma dimasyarakat bahwa lembaga pendidikan tersebut belum bermutu, karena dimata masyarakat semakin mahal biaya pendidikan semakin bagus mutu pendidikannya. Lembaga paud taman belajar anak termasuk dalam kategori swadaya masyarakat, yang baru berjalan kurang lebih 1 tahun, dan memiliki 6 fasiitator serta beberapa relawan, untuk setiap kegiatan para fasilitator dituntut untuk mendokumentasikan hasil setiap kegiatan dengan baik dan bagus sehinga pesan yang ingin disampaikan dalam video tersebut tersampaikan dengan baik. Maka dari itu dibutuhkan pelatihan untuk fasilitaor bagaimana mengambil video dan gambar dengan benar sehingga dapat dijadikan sebuah rangkaian video yang dapat menjadi profile untuk taman belajar. Dengan tahapan pelatihan, yang pertama penentuan konsep, kedua pengambilan gambar, ketiga editing, tahapan terakhir publish kesesosial medi. Sehingga kemanfaatan video company profile untuk dapat memberikan informasi dan gambaran visual yang lengkap dari latar belakang, fasilitas yang dimiliki sampai dokumentasi kegiatan siswa, dengan hasil evaluasi untuk informasi kualitas gambar dan suara video dengan jumlah persentase sebesar 66,7 % , yang harapannya video company profile tersebut dapat dimanfaatkan sebagai media promosi sehingga informasi dapat tersampaikan kepada semua lapisan masyarakat, dan dapat juga membangun branding tersendiri pada lembaga paud taman belajar anak.
Management of Tracking in Real Time on a Website-based Laundry Information System Mastha Cahyaningrum, Dewi Pratama; Norhikmah, Norhikmah
Sistemasi: Jurnal Sistem Informasi Vol 12, No 3 (2023): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v12i3.2943

Abstract

Dewi Jaya Laundry provides a variety of laundry services. However, the administrative process and transactions with customers are still not computerized, so it can take more time and customers cannot do tracking of their clothes. To overcome these problems, a solution was built in the form of a website-based information system that has a Real Time Tracking feature. Primary data collection was obtained directly from the research site, namely Dewi Jaya Laundry located on Perumnas street by making direct observations at Dewi Jaya Laundry. Meanwhile, we gather secondary knowledge from scientific articles and books on database development for websites. It utilizes Waterfall research methodology and is built with PHP and MySQL databases. This system is built through the stages of analysis, design, development, and testing. The black box method is used for system testing, which emphasizes the functionality of the system. The system's ability to perform its intended functions has been verified by the test results. This research succeeded in developing a laundry information system that has a Real Time Tracking feature that functions to monitor customer laundry packages, so customers can know which stage of the washing or drying process is taking place, so they can know when clothes are ready to be taken.
Comparison of Phishing Detection Tests using the SVM Method with RBF and Linear Kernels Rumini, Rumini; Norhikmah, Norhikmah; Mustofa, Ali; Pradana, Sulistyo
Sistemasi: Jurnal Sistem Informasi Vol 12, No 3 (2023): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v12i3.2882

Abstract

Phising adalah sebuah tindakan kriminal untuk mencuri informasi pribadi orang lain menggunakan entitas electronic, salah satunya adalah website. Informasi ini dicuri dari website yang telah diakses yang mengandung phising atau dengan kata lain masuk ke dalam kategori website phising. Tujuan dari web phising adalah membuat pengguna percaya bahwa mereka berinteraksi dengan situs resmi. Umumnya informasi yang dicari phisher (pelaku phising) adalah berupa username, password, baik itu akun media sosial atau akun nomor kartu kredit dengan cara diarahkan ke sebuah situs website palsu. Maka dari itu perlu adanya deteksi web phising yang berguna untuk melindungi user dari tindak pencurian informasi pengguna. Penelitian ini membahas dua kernel dalam metode SVM (Support Vector Machine) untuk deteksi web phising yaitu kernel RBF (Radial Basis Function) dan kernel linear. Akurasi yang didapatkan dengan ketiga kernel menghasilkan nilai akurasi yang berbeda-beda. Hasil akurasi pengujian sistem deketksi web phising dengan Kernel Linear sebesar 92.582 % dan Kernel Radial Basis Function sebesar 96.426 %. Akurasi paling tinggi dengan metode SVM untuk deteksi web phising yaitu menggunakan kernel RBF (Radial Basis Function).
Optimizing the Profile Matching Algorithm using the Analytical Hierarchy Process in the Selection of Teaching Assistants Helmawati, Nita; Norhikmah, Norhikmah
Sistemasi: Jurnal Sistem Informasi Vol 12, No 3 (2023): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v12i3.3172

Abstract

The selection of the best practicum assistants is traditionally done through a conventional method, which involves voting by active students attending lab classes. However, upon evaluation, it was found that the results were not accurate. Some cases revealed that assistants were chosen based solely on popularity or recognition among the students, possibly influenced by physical appearance or public speaking skills in front of the class, while other important aspects were not considered. This situation could lead to social jealousy. The problem lies in the difficulty of combining evaluation criteria and determining the relative weights for each criterion in the process of selecting the best practicum assistants at the college. Additionally, there is a lack of objectivity in decision-making during the selection process, resulting in an unstructured and immature decision-making process. Therefore, this research aims to enhance the process of selecting the best practicum assistants at the college through optimizing the profile matching algorithm using the Analytic Hierarchy Process (AHP) method. AHP's role involves checking the weights and making paired comparisons to evaluate each criterion and determine the criterion weights. AHP is also utilized to ensure consistency in determining the weights. On the other hand, the role of profile matching is to provide accurate rankings or comparisons based on the suitability scores between the profiles of potential assistants and the reference profile. The combination of these two algorithms is expected to result in a more accurate selection of practicum assistants by effectively measuring the decision criteria weights. Therefore, the difficulty of combining evaluation criteria and determining the relative weights for each criterion can be minimized. Furthermore, optimizing the profile matching algorithm will enable a more objective decision-making process for selecting the best practicum assistants through more accurate rankings or comparisons based on the suitability scores with the reference profile. Based on this optimization, the collaboration of the two algorithms can achieve comparison results with an accuracy rate of 90%.
Rare Animal Recognition Applicaton Using Augmented Reality Technology And Marker Based Qr Code Yulianti, Fintas; Norhikmah, Norhikmah
Sistemasi: Jurnal Sistem Informasi Vol 13, No 2 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i2.3361

Abstract

Indonesia has a rich diversity of animals, but the lack of media to introduce endangered species from various regions such as Java, Sulawesi, Bali, NTT and Kalimantan has led to a lack of awareness of their existence, which has led to the threat of extinction. The purpose of this research is to produce an Android application that utilizes Augmented Reality (AR) technology to introduce endangered species. The MDLC (Multimedia Development Life Cycle) method is used in this analysis, which consists of 6 stages: concept, design, collection of materials, assembly, testing, and finally distribution. The Unity Engine is used as the basis for Android applications. Augmented Reality (AR) is an effective learning tool for early childhood education, especially in the realm of endangered species education. In addition to introducing rare animals, the app will include quizzes as part of the game to increase knowledge about these animals.
Sentiment Analysis using the Support Vector Machine Algorithm on Covid_19 Nugroho, Adytyo Wahyu; Norhikmah, Norhikmah
Sistemasi: Jurnal Sistem Informasi Vol 13, No 4 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i4.3778

Abstract

This massive development of information technology makes it easier for people's lives in various fields, one of them is social media, social media that people use a lot to get information about news or events that are happening in Indonesia, one of which is social media Twitter which provides a lot of information for the people of Indonesia, one of which is information about Covid-19 which is currently rife in the territory of Indonesia Sentiment analysis is a branch of Natural Language Processing (NLP) which can help determine the sentiments that occur in society. This study uses data in the form of tweets to carry out sentiment analysis obtained on Twitter social media.This research utilizes one of the Supervised Learning algorithms, namely Support Vector Machine. In this study, three (3) kernels are used for the Support Vector Machine, each of which is Linear, Radial basis function and Polynomial, to find which kernel produces the highest accuracy value. From the experiments carried out using data sharing for training as much as 70% and for testing data as much as 30% of the total data of 6000 data, the resulting accuracy value for the Support Vector Machine method on the Linear kernel produces an accuracy value of 89% and for the Radial kernel base function accuracy by 90% and for the Polynomial kernel it produces an accuracy of 88%. So it is concluded for the three (3) kernels for testing the Support Vector Machine method on the Radial basis function kernel to produce the best accuracy value
Pengembangan Media Pembelajaran Berbasis Web Google Sites Materi Klasifikasi Makhluk Hidup Untuk Meningkatkan Hasil Belajar Siswa Kelas VII SMP Norhikmah, Norhikmah; Ratna Yulinda; Rizky Febriyani Putri
Jurnal Pendidikan Sains dan Teknologi Terapan | E-ISSN : 3031-7983 Vol. 3 No. 1 (2026): Januari - Maret
Publisher : CV.ITTC INDONESIA

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

Abstract

This research examines the creation of a web-based learning medium using Google Sites to teach the classification of living organisms, with the goal of enhancing the academic performance of seventh-grade junior high school students. The study aims to evaluate the effectiveness, practicality, and validity of the learning media that has been developed. The ADDIE development model consisting of Analysis, Development, Design, Implementation, and Evaluation served as the framework for this research. The media trial involved 22 students from class VII A at SMPN 1 Alalak. Data were collected through media student response questionnaires, validation forms, and assessments of learning outcomes administered as post-tests and pre-tests. The findings indicate that the developed media received a validity score of 90.6%, a practicality score of 91.4%, and an N-Gain of 0.80, categorized as high. These results further contribute to the advancement of digital learning resources, particularly web-based tools that can function as effective alternative instructional media. Google Sites is shown to support science learning through visual elements, videos, and interactive components such as quizzes, encouraging student engagement and potentially improving achievement. Based on these outcomes, The learning media developed using Google Sites for the material on classifying living organisms has been confirmed to be effective, practical, and valid in enhancing students’ learning outcomes in junior high school science classes.
Regression Based Prediction of Roblox Game Popularity Using Extreme Gradient Boosting with Hyperparameter Optimization Amalina, Inna Nur; Norhikmah, Norhikmah; Ariyus, Dony; Koprawi, Muhammad; Prasetyo, Rafli Ilham
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 1 (2026): JUTIF Volume 7, Number 1, February 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.1.5648

Abstract

The rapid growth of the digital gaming industry has increased the importance of predicting game popularity on user-generated content platforms such as Roblox, where diverse games and highly variable user engagement patterns create challenges in modeling long-term popularity trends. This study aims to develop a regression-based popularity prediction model using the Extreme Gradient Boosting (XGBoost) algorithm based on user interaction indicators, including visits, likes, dislikes, favorites, and active players. To investigate the effect of model optimization, hyperparameter tuning is performed using GridSearchCV. Model performance is evaluated using Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and the Coefficient of Determination (R²). Experimental results show that the baseline XGBoost model achieves an R² value of 80.74%, indicating strong capability in capturing non-linear popularity patterns. However, the optimized model yields a lower R² value of 77.71%, accompanied by slight increases in prediction error metrics, revealing that hyperparameter optimization does not always improve performance for highly skewed popularity data. Feature importance analysis further indicates that interaction-based attributes, particularly likes and dislikes, are the most influential predictors. These findings provide an important contribution to Informatics research by demonstrating the effectiveness of ensemble regression models for digital entertainment analytics while highlighting the need for critical evaluation of optimization strategies rather than assuming universal performance gains.
Digital Management of Online Student Admission (PPDB) in Islamic Early Childhood Education: A Case Study Norhikmah, Norhikmah; Musyarapah, Musyarapah; Yildiz, Emine
Indonesian Journal of Early Childhood Educational Research (IJECER) Vol. 5 No. 1 (2026): Inpress
Publisher : Universitas Islam negeri Mahmud Yunus Batusangkar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31958/ijecer.v5i1.16460

Abstract

The digital transformation of Islamic early childhood education requires adaptive, transparent, and ethical student admission management. This study aims to analyze the management of online student admission in Islamic early childhood education within the framework of digital transformation and Islamic educational values. A qualitative case study approach was employed, using in-depth interviews, non-participant observation, and institutional documentation. Data were analyzed through Miles and Huberman’s interactive model and interpreted using Islamic management principles, including amanah, ‘adl, shidq, mas’uliyyah, and khidmah. nThe findings indicate that online admission management enhances administrative efficiency, data organization, transparency, and reporting accuracy through structured digital planning and implementation. The process includes collaborative decision-making, digital registration systems, and developmental screening mechanisms. Key challenges involve internet instability, variations in parental digital literacy, data privacy concerns, and technical overload. These challenges are addressed through guidance, assistance, and service-oriented practices aligned with Islamic ethical values. The study concludes that effective digital student admission management in Islamic early childhood education requires balancing technological innovation with ethical governance, digital competence strengthening, data protection, and continuous system evaluation to ensure equitable and transparent services.
Co-Authors Abda Abda Acihmah Sidauruk Afifah, Neela Aldis Gandi Mitra Sanjung Ali Mustofa Alvien Muhammad Kannabi Amalina, Inna Nur Anggit Dwi Hartanto Anggun Pratiwi, Cut Tesya Iftillah Arifin, Muhammad Nurul Ashari, Wahid Miftahul Donni Prabowo Dony Ariyus Fajri, Ika Nur Hairunnisa Hairunnisa Helmawati, Nita Husain, Aghnaita imadduddin, Imadduddin Koprawi, Muhammad Kusrini Kusrini Kusuma, Prita Widia M. Rudyanto Arief M. Yogi Riyantama Isjoni Mastha Cahyaningrum, Dewi Pratama Muharam, Fatta Musyarapah, Musyarapah Mu’alif Lihawa Mu’arif, Zidan Nita Helmawati Nor Latifah Nugroho, Adytyo Wahyu Nurma, Nurma Nurwijayanti Pirasintiya, Pirasintiya Pradana, Sulistyo Prasetyo, Rafli Ilham Pratama, Rifqhy Rayhan Andi Riga Pratama, Rifqy Rayhan Andi Riga Purwanto, Dimas Yudistira Randani, Randani Ratna Yulinda Rianda, Farhan Riski Rizka Mulya Miranti Rizky Febriyani Putri Rumini Rumini - Rumini Rumini Salsabila, Nur Syifa Setyaningsih, Adila Vidyana Arsanti Wiji Nurastuti Wiwi Widayani Yildiz, Emine Yulianti, Fintas