Abstract:Abstract: Sinar Jaya store is a store that sells fire extinguishers in Medan city. In majority, this store still serves transactions by accepting customer to the store directly. Since the COVID-19 pandemic has lasted for…
so long, this store has begun to explore technology by utilizing Instagram as social media and having a website which can be accessed via www.sinarjayamedan.com as a medium to introduce the store, market the products digitally and increase business legitimacy. However, existing web pages must be optimized further to improve the ability of Toko Sinar Jaya in response to marketing needs. The measurement results using 2 (two) Search Engine Optimization (SEO) measurement websites show an average score of 61,5 out of a scale of 100. Thus, this community service activity is aimed at increasing this SEO score. SEO activities are carried out by using the on-page SEO method on existing web pages and continued with Content Management training for off-page SEO implementation. On-page SEO is carried out with activities including the installation of the Yoast SEO plugin, keyword research, visibility and permalink settings, Google Search Console, Google Analytics, sitemap generator and schema markup. The SEO score then increased significantly from 61,5 to 74,5.
Keywords: inbound marketing; micro, small and medium enterprise; search engine optimization (SEO)
Abstrak: Toko Sinar Jaya merupakan toko yang menjual alat-alat pemadam kebakaran di kota Medan. Secara mayoritas, toko ini masih melayani transaksi langsung dengan menerima kedatangan pelanggan ke toko. Sejak pandemi COVID-19 yang berlangsung telah begitu lama, toko ini mulai mengeksplorasi teknologi dengan memanfaatkan media sosial Instagram dan memiliki website yang bisa diakses lewat www.sinarjayamedan.com sebagai media untuk memperkenalkan toko, memasarkan produk secara digital dan meningkatkan legitimasi bisnis. Namun demikian, laman web yang ada harus dioptimalkan lagi untuk lebih meningkatkan kemampuan Toko Sinar Jaya dalam menjawab kebutuhan pemasaran. Hasil pengukuran menggunakan 2 (dua) website pengukuran Search Engine Optimization (SEO) masih menunjukkan rata-rata skor 61,5 dari skala 100. Kegiatan pengabdian kepada masyarakat ini ditujukan untuk meningkatkan skor SEO ini. Kegiatan SEO dilakukan secara on-page terhadap laman web dan dilanjutkan dengan pelatihan Content Management untuk implementasi SEO secara off-page. SEO on-page dilakukan dengan kegiatan meliputi Instalasi plugin Yoast SEO, keyword research, visibility and permalink setting, Google Search Console, Google Analytics, sitemap generator dan schema markup. Skor SEO kemudian meningkat dengan cukup signifikan dari angka 61,5 menjadi 74,5.
Kata kunci: inbound marketing; search engine optimization (SEO); usaha mikro, kecil dan menengah (UMKM)
Abstract:Abstract: The pandemic has caused the economy to decline drastically, even many residents have lost their sources of livelihoods. The government directly disbursed funds in the form of Direct Cash Assistance. The problem…
that arose was the suspicion of injustice for the villagers who received BLT. There is a need for a transparent system to inform the criteria for BLT recipients. The more criteria for poor and vulnerable families that were met, the priority for BLT village fund recipients. BLT priority assessment based on the aspect of the criteria that apply by law is implemented using PhpMyadmin. The development of a web-based information system made it easier to inform villagers of the names of BLT priority recipients based on the reasons that had been collected and then ranked. The resulting system helps employees of the Pagar Jati Village office to inform BLT recipients in a technological system built with the water fall method including data collection, problem analysis, design, testing and system evaluation.
Keywords: devotion; information systems; priority setting; web based
Abstrak: Pendemi mengakibatkan perekonomian menurun drastis, bahkan banyak warga yang kehilangan sumber mata pencaharian. Pemerintah secara langsung mengucurkan dana dalam bentuk Bantuan Langsung Tunai (BLT). Permasalahan yang timbul yaitu kecurigaan adanya ketidakadilan bagi warga desa penerima BLT. Perlu adanya sistem yang transparan menginformasikan kriteria penerima BLT. Semakin banyak kriteria keluarga miskin dan rentan yang dipenuhi, menjadi prioritas penerima BLT dana desa. Penilaian prioritas BLT berdasarkan aspek kriteria yang berlaku secara undang-undang diimplementasikan menggunakan PhpMyadmin. Pengembangan sistem informasi berbasis web mempermudah menginformasikan pada warga desa nama-nama penerima prioritas BLT berdasarkan alasan-alasan yang sudah dikumpulkan lalu diranking. Sistem yang dihasilkan membantu pegawai kantor Desa Pagar Jati menginformasikan penerima BLT secara sistem teknologi yang dibangun dengan metode water fall meliputi pengumpulan data, analisa permasalahan, perancangan, pengujian dan evaluasi sistem.
Kata kunci:berbasis web; penentuan prioritas; pengabdian; sistem informasi
Abstract:Abstract: The use of QR Codes in academic settings has increased with the digitization of attendance systems, but it has also introduced potential abuse in the form of quishing attacks (QR phishing). Previous studies have…
e mainly focused on user behavior, while forensic analysis of digital artifacts as evidence is still limited. This study aims to conduct a forensic analysis of browser artifacts resulting from interactions with dangerous QR Codes at Aisyiyah University Yogyakarta using the framework of the National Justice Institute (NIJ). Six investigation parameters are defined: domain identification, endpoint identification, identification of supporting resources, visualization of image artifacts, timestamp correlation, and HTML reconstruction. Data is obtained from the Google Chrome profile directory and analyzed using Autopsy, focusing on Web Cache, Browser History, and Cookies artifacts. The results showed that five parameters were successfully identified with an investigation success rate of 83.3%, while HTML reconstruction could not be fully achieved due to cache limitations. These findings show that Web Cache artifacts provide evidentiary value in the forensic investigation of QR Code-based attacks. Future research should focus on improving full-page reconstruction techniques.
Keywords: browser forensics; digital artifacts; NIJ; quishing; Web Cache
Abstrak: Penggunaan Kode QR di lingkungan akademik telah meningkat seiring dengan digitalisasi sistem absensi, tetapi juga menimbulkan potensi penyalahgunaan dalam bentuk serangan phishing (QR phishing). Studi sebelumnya sebagian besar berfokus pada perilaku pengguna, sementara analisis forensik artefak digital sebagai bukti masih terbatas. Studi ini bertujuan untuk melakukan analisis forensik artefak browser yang dihasilkan dari interaksi dengan Kode QR berbahaya di Universitas 'Aisyiyah Yogyakarta menggunakan kerangka kerja Lembaga Kehakiman Nasional (NIJ). Enam parameter investigasi didefinisikan: identifikasi domain, identifikasi titik akhir, identifikasi sumber daya pendukung, visualisasi artefak gambar, korelasi stempel waktu, dan rekonstruksi HTML. Data diperoleh dari direktori profil Google Chrome dan dianalisis menggunakan Autopsy, dengan fokus pada artefak Cache Web, Riwayat Browser, dan Cookie. Hasil menunjukkan bahwa lima parameter berhasil diidentifikasi dengan tingkat keberhasilan investigasi sebesar 83,3%, sementara rekonstruksi HTML tidak dapat sepenuhnya dicapai karena keterbatasan cache. Temuan ini menunjukkan bahwa artefak Cache Web memberikan nilai bukti dalam investigasi forensik serangan berbasis Kode QR. Penelitian selanjutnya harus fokus pada peningkatan teknik rekonstruksi halaman penuh.
Kata kunci: forensik peramban; artefak digital; NIJ; quishing; web cache
Abstract:Abstract: Mental health issues, particularly depression among young adult university students, are often detected late due to stigma and reluctance to seek medical consultation. The objective of this study is to develop…
an early screening model employing machine learning techniques, specifically the random forest algorithm, on a dataset of 268 students (aged 17-29 years; consisting of 98 males and 170 females) within a multicultural educational setting. The principal challenges associated with this dataset are class imbalance and the potential for data leakage from clinical scores. This study implements a rigorous feature selection approach that involves the elimination of depression score features and the utilization of the Synthetic Minority Over-sampling Technique (SMOTE) to balance the training data distribution. Furthermore, a Threshold Tuning strategy is employed to prioritize detection sensitivity (Recall). The findings indicate that reducing the decision threshold to an optimal value of 0.25 led to a substantial enhancement in the recall value, increasing it from 36% (baseline) to 77%. A feature importance analysis was conducted, the results of which indicated that Total Social Connectedness (ToSC) is the most dominant predictor. In summary, the present study corroborates the notion that optimizing sensitivity through threshold tuning is of paramount importance for medical screening. Furthermore, social isolation factors emerge as more significant indicators of depression risk than demographic attributes.
Keywords: data mining; depression; imbalanced data; random forest; smote; threshold tuning
Abstrak: Masalah kesehatan mental, khususnya depresi di kalangan mahasiswa dewasa muda, sering terdeteksi terlambat akibat stigma dan enggan mencari konsultasi medis. Tujuan studi ini adalah mengembangkan model skrining dini menggunakan teknik machine learning, khususnya algoritma random forest, pada dataset 268 mahasiswa (usia 17-29 tahun; terdiri dari 98 laki-laki dan 170 perempuan) dalam lingkungan pendidikan multikultural. Tantangan utama yang terkait dengan dataset ini adalah ketidakseimbangan kelas dan potensi kebocoran data dari skor klinis. Studi ini menerapkan pendekatan seleksi fitur yang ketat, yang melibatkan eliminasi fitur skor depresi dan penggunaan Teknik Over-sampling Minoritas Sintetis (SMOTE) untuk menyeimbangkan distribusi data pelatihan. Selain itu, strategi Penyesuaian Ambang Batas diterapkan untuk memprioritaskan sensitivitas deteksi (Recall). Hasil penelitian menunjukkan bahwa mengurangi ambang batas keputusan ke nilai optimal 0,25 menyebabkan peningkatan signifikan dalam nilai recall, dari 36% (dasar) menjadi 77%. Analisis pentingnya fitur dilakukan, hasilnya menunjukkan bahwa Total Social Connectedness (ToSC) adalah prediktor yang paling dominan. Secara ringkas, studi ini membenarkan bahwa mengoptimalkan sensitivitas melalui penyesuaian ambang batas sangat penting untuk skrining medis. Selain itu, faktor isolasi sosial muncul sebagai indikator risiko depresi yang lebih signifikan daripada atribut demografis.
Kata kunci: penambangan data; depresi; data tidak seimbang; hutan acak; smote; penyesuaian ambang batas
Abstract:Abstract: Mental health is an essential aspect of overall well-being, particularly for university students vulnerable to emotional strain. This study aims to identify clusters of student mental health trends using the K-Means…
Means clustering technique. The research involved 60 students from four academic programs at the Faculty of Science and Technology, selected using stratified and cluster sampling techniques. Data were collected using a modified Mental Health Inventory (MHI). The results revealed distinct commonalities among majors: the Statistics program was predominantly defined by the depressed cluster at 53.3%, while Mathematics followed at 40% within the same cluster. In contrast, Biology students predominantly fell under the neu-tral/stable cluster (66.7%), whilst Information Systems students exhibited an even distribution (33.3% per cluster) without a dominant trend. The clustering quality was evaluated using the Silhouette Coefficient, yielding a range of 0.39 to 0.60. Biology (0.60) and Statistics (0.54) exhibited a reasonable structure, but Information Systems (0.39) and Mathematics (0.34) demonstrated a deficient structure. In conclusion, K-Means effectively discerns mental health patterns, providing a data-driven basis for targeted psychological interventions in educational settings.
Keywords: biology; information systems; k-means; mathematics; mental health; silhouette coefficient; statistics
Abstrak: Kesehatan mental merupakan komponen vital dari kesejahteraan total, terutama bagi maha-siswa yang rentan terhadap stres emosional. Penelitian ini bertujuan untuk mengidentifikasi kelompok tren kesehatan mental mahasiswa melalui penerapan metode pengelompokan K-Means. Studi ini mencakup 60 mahasiswa dari empat program studi di Fakultas Sains dan Teknologi, yang dipilih melalui metode pengambilan sampel bertingkat dan kelompok. Data dikumpulkan dengan menggunakan Inventaris Kesehatan Mental (MHI) yang dimodifikasi. Temuan menunjukkan kesamaan yang jelas di antara jurusan: program studi Statistika terutama ditandai oleh kelompok depresi (53,3%), diikuti oleh Matematika dengan 40% dalam kelompok depresi. Sebaliknya, mahasiswa Biologi terutama termasuk dalam kelompok netral/stabil (66,7%), sedangkan mahasiswa Sistem Informasi memiliki distribusi yang merata (33,3% per kelompok) tanpa pola yang dominan. Kualitas pengelompokan dinilai dengan Koefisien Sil-houette, menghasilkan rentang 0,39 hingga 0,60. Biologi (0,60) dan Statistika (0,54) memiliki struktur sedang, sedangkan Sistem Informasi (0,39) dan Matematika (0,34) menunjukkan struktur yang buruk. Kesimpulannya, K-Means secara akurat mengidentifikasi tren kesehatan mental, menawarkan landasan berbasis data untuk terapi psikologis yang ditargetkan di ling-kungan pendidikan.
Kata kunci: biologi; kesehatan mental; K-Means; matematika; silhouette coefficient; sistem in-formasi; statistika
Abstract:This study analyzes the acceptance of teachers and ASN employees of the SINAGA (Sistem Informasi Layanan Kepegawaian) attendance application at SMA Negeri 1 Jatilawang using a modified Technology Acceptance Model (TAM).…
The model was extended by incorporating two external variables: Information Quality and Complexity. This explanatory quantitative research employed the Structural Equation Modeling–Partial Least Square (SEM-PLS) method involving 60 respondents who are civil servants, consisting of teachers and administrative staff. The results reveal that Information Quality has a positive and significant influence on both Perceived Usefulness (PU) and Perceived Ease of Use (PEOU), while Complexity does not show a significant effect on either variable. Furthermore, PEOU and PU have a positive impact on Attitude Toward Use (ATU), which subsequently affects Behavioral Intention to Use (BIU). Behavioral intention, in turn, strongly influences Actual Use (AU). These findings indicate that teachers’ acceptance of the SINAGA digital attendance system in educational settings is primarily driven by information quality and users’ positive attitudes rather than by system complexity. Theoretically, this study contributes to the expansion of TAM application in the educational context. Practically, it provides valuable insights for improving the effectiveness of SINAGA implementation through better information quality and enhanced user experience.
Abstract:Abstract: Bekasi Regency, being one of the key cities in Indonesia, offers a suitable setting to study the intricacies of marriage decision-making during a quarter-life crisis. This study focuses on the application of clustering…
ustering algorithms to categorize individuals based on their marriage choices. Data was collected from a questionnaire completed by 110 respondents from Bekasi Regency, specifically individuals aged 18 to 30 who are single, including 80 women and 30 men. Data analysis was conducted using the RapidMiner software to evaluate the effectiveness of three clustering algorithms K-Means, X-Means, and K-Medoids in categorizing marriage decision patterns among young people experiencing a Quarter Life Crisis in Bekasi Regency. Results indicate that each algorithm has its own strengths and limitations in handling Quarter Life Crisis data.The results of the analysis show that the K-medoids algorithm provides the best clustering results with the lowest DBI value of 0.195, followed by the X-Means algorithm with a value of 0.199 and K-Means with a value of 0.207. These results can help understand the pattern of marriage decisions in the Quarter Life Crisis phase and help provide insights for policymakers in Bekasi Regency to make more effective intervention programs.
Keywords: K-Means; K-Medoids; X-Means
Abstrak: Sebagai salah satu kota besar di Indonesia, Kabupaten Bekasi memberikan konteks yang tepat untuk mempelajari kompleksitas pengambilan keputusan pernikahan di tengah krisis seperempat usia. Penelitian ini berfokus pada pemanfaatan algoritma clustering untuk mengelompokkan individu berdasarkan pilihan pernikahan mereka. Data diambil dari kuesioner yang diisi oleh 110 responden di Kabupaten Bekasi, yang terdiri dari individu lajang berusia 18 hingga 30 tahun, yaitu 80 perempuan dan 30 laki-laki. Analisis data dilakukan dengan perangkat lunak RapidMiner untuk mengevaluasi efektivitas tiga algoritma pengelompokan—K-Means, X-Means, dan K-Medoids—dalam mengelompokkan pola keputusan pernikahan di kalangan pemuda yang menghadapi Quarter Life Crisis di Kabupaten Bekasi. Hasilnya menunjukkan bahwa setiap algoritma memiliki keunggulan dan kelemahannya masing-masing dalam memproses data Quarter Life Crisis. Hasil analisis menunjukkan bahwa algoritma K-medoids memberikan hasil clustering terbaik dengan nilai DBI terendah yaitu 0.195, diikuti oleh algoritma X-Means dengan nilai 0.199 dan K-Means dengan nilai 0.207. Hasil ini dapat membantu memahami pola keputusan menikah pada fase Quarter Life Crisis dan membantu memberikan wawasan bagi pembuat kebijakan di Kabupaten Bekasi membuat program intervensi yang lebih efektif.
Kata kunci: K-Means; K-Medoids; X-Means
Abstract:Abstract: Technology is a tool for processing, storing and modifying data to obtain informatio. Decision Support System (DSS) a based model-based with data processing procedures and considerations to assist manager in decision…
ecision making. In the context of UD.Wendy Jaya which still uses manual methods for selecting superior cement, this is considered less effective and ineffcient, resulting in cement selection that does not meet the criteria and lacks accuracy. This research employs a quantitative method with the aim of determining decisions for selecting superior cemen and designing a decision support system using the Simple Additive Weighting (SAW) method based on predetermined criteria. The implementation result show that the decision support system for determining superior cement provides convenience and speed in selecting superior cement at UD Wendy Jaya according to the expected criteria. The results of calculations using the simple additive weighting (SAW) method rank each alternative, with the most superior alternative being three-wheel cement, considering several criteria such as price, compressive, strength, fineness, water capacity and setting time.
Keywords: simple additive weighting (SAW); decision support system; UD.wendy jaya
Abstrak: Teknologi adalah alat untuk mengolah, menyimpan, dan memodifikasi data guna mendapatkan informasi. Sistem Pendukung Keputusan (Decision Support System/DSS) merupakan sistem berbasis model dengan prosedur pemrosesan data dan pertimbangan untuk membantu manajer dalam pengambilan keputusan. Dalam konteks Toko UD. Wendy Jaya, yang masih menggunakan cara manual untuk pemilihan semen unggul, hal ini dianggap kurang efektif dan tidak efisien, mengakibatkan pemilihan semen tidak sesuai kriteria dan tidak akurat. Penelitian ini menggunakan metode kuantitatif, dengan tujuan untuk mengetahui keputusan pemilihan semen unggul dan merancang sistem pendukung keputusan menggunakan metode Simple Additive Weighting (SAW) berdasarkan kriteria yang ditentukan. Hasil implementasi menunjukkan bahwa sistem pendukung keputusan Menentukan Semen Unggul memberikan kemudahan dan kecepatan dalam pemilihan semen unggul pada Toko UD. Wendy Jaya sesuai dengan kriteria yang diharapkan. Hasil dari perhitungan dengan menggunakan metode Simple Additive Weighting (SAW) adalah perangkingan setiap alternatif yaitu diperoleh alternatif yang paling unggul adalah semen tiga roda ditinjau dari beberapa kriteria harga, kuat tekanan, kehalusan, kapasitas air dan waktu mengeras.
Kata kunci: simple additive weighting (SAW); sistem pendukung keputusan; UD.wendy jaya
Abstract:Student development includes conduct as a key component. Student behavior becomes crucial in deciding how successful students will be in different spheres of life. The variety of student behavior can hinder the learning…
process and personal development of students. Through the development of an expert system-based counseling model based on backward chaining, this study seeks to discover trends in student behavior. The research process starts with problem analysis, goal setting, literature study, data collection, system design and implementation, and results analysis. It then moves on to counseling model development and implementation in the school setting. To determine the reasons for the unruly behavior of the kids, data were analyzed using a backward chaining methodology. UML Usecase diagrams are used in system design to define the roles of actors and users. The established counseling model, which consists of 14 behaviors, 67 phenomena/symptoms, and 14 rules, focuses on goals and methods to modify student behavior. Three students underwent system testing based on previously achieved goals from therapy. The findings revealed "Smoking," "Emotional Problems," and "Fighting" among the student behaviors. When the Backward Chaining-based counseling model is used, it is simpler for homeroom teachers to gather information about students' conduct from them and to offer remedies based on the transfer of professional knowledge without having to wait for the counselor guidance procedure
Abstract:Abstract: This research was conducted in the form of a literature study. This study investigates the use of Virtual Reality (VR) in teaching, including VR methods and their application to learning. In the literature study,…
y, the database used comes from Garuda (Garuda Digital Reference), published by The Ministry of Education, Culture, Research, and Technology. The results of the literature study obtained data that 157 articles discuss the use of VR in learning from 2012 - 2022 and in the majority of VR development using the 3D Modeling method, as much as 43%. Overall, using VR in learning provides positive results that can improve learning outcomes. Three essential things must be considered in the development of VR, namely: (1) the cost of operating VR technology, (2) Accessibility that makes it easy for teachers and respondents to access the technology, (3) Setting up a virtual environment to create a practical learning experience for respondents.
Keywords: development; learning; virtual reality.
Abstrak: Penelitian ini dilakukan dalam bentuk studi literatur. Dalam penelitian ini, menyelidikan penggunaan VR dalam pembejaran, meliputi metode VR yang digunakan dan penerapannya pada pembelajaran. Dalam studi literature, basis data yang digunakan berasal dari Garuda (Garuda Rujukan Digital) yang dipublikasi oleh The Ministry of Education, Culture, Reseach, and Technology. Dari hasil studi literature diperoleh data bahwa terdapat 157 artikel yang membahas tentang penggunaan VR dalam pembelajaran dari tahun 2012 – 2022. Secara mayoritas pengembangan VR dengan menggunakan metode 3D Modelling, sebanyak 43%. Secara keseluruhan penggunaan VR dalam pembelajaran memberikan hasil yang positif dapat meningkatkan hasil belajar. Terdapat tiga hal penting yang harus diperhatikan dalam pengembangan VR, yaitu: (1) biaya pengoperasian teknologi VR, (2) Aksesibilitas yang memudahkan pengajar dan responden untuk mengakses teknologi tersebut (3) Menyiapkan lingkungan maya (virtual environment) agar menciptakan pengalaman belajar yang efektif bagi responden.
Kata kunci: pembelajaran; pengembangan; virtual reality