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All Journal Journal of Practical Computer Science (JPCS) Majalah Ilmiah METHODA TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Jurnal Riset Sistem dan Teknologi Informasi Sains Data Jurnal Studi Matematika dan Teknologi INSTALL: Information System and Technology Journal KOMNET : Jurnal Komputer, Jaringan dan Internet
Nor Anisa
Information System, Faculty Of Sains And Technology, Sari Mulia University
Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Mathematics Medicine & Pharmacology Physics Public Health Other

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Penerapan Algoritma Random Forest untuk Klasifikasi Depresi Berdasarkan Faktor Tekanan Kerja dan Kebiasaan Hidup Hamid, Muhammad Abdul; Anisa, Nor
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 5 No 1 (2025): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol5No1.pp46-52

Abstract

Depression is a serious mental condition that affects both individuals and society. The Random Forest algorithm will be used in this project to create a depression categorization model based on work pressure and lifestyle characteristics. The Depression Professional Dataset was analyzed using the Knowledge Discovery in Databases (KDD) approach, which included 2,054 data points with 11 factors such as age, work pressure, working hours, sleep habits, and family mental health history. The results showed that the Random Forest algorithm classified depressive states with 91% accuracy. The investigation found that age was the most important predictor, followed by work pressure, working hours, and job happiness. In contrast, gender and family mental health history had a smaller impact. This study demonstrates that the risk factors for depression are multifaceted, including demography and work pressure. These findings can be used to develop mental health preventive and intervention methods in the workplace. Future model development can include new factors, such as socioeconomic status, to produce a more comprehensive study
Penerapan Lexicon Based Untuk Analisis Sentimen pada Game PUBG dengan Ekstraksi Fitur TF-IDF Anisa, Nor
Journal of Practical Computer Science Vol. 5 No. 1 (2025): Mei 2025
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/jpcs.v5i1.5826

Abstract

This study conducts sentiment analysis on user reviews of PUBG (PlayerUnknown's Battlegrounds) to understand players' perceptions of their gaming experience. The main issue addressed is the need for a deeper understanding of player satisfaction and dissatisfaction through available review data. The objective of this research is to identify sentiment tendencies—positive, neutral, or negative—and the specific aspects of the game that receive the most user feedback. The methodology combines a lexicon-based sentiment analysis approach with Term Frequency-Inverse Document Frequency (TF-IDF) feature extraction. The lexicon-based technique is used to classify words with positive or negative connotations, while TF-IDF highlights the most influential terms in the user review corpus. Results from various testing scenarios show that this combined method improves sentiment classification accuracy. The analysis reveals that the majority of reviews express positive sentiment, with a smaller portion being neutral or negative. Furthermore, the approach successfully identifies the most praised and criticized features of the game. These findings offer valuable insights for game developers to evaluate and improve game elements that directly impact player satisfaction and retention
Eksplorasi Penerapan Digital Community Oleh PT Ace Hardware Indonesia: Studi Kasus Meningkatkan Interaksi dan Loyalitas Kota Banjarmasin Linda, Linda; Agustina, Melisa; Maisarah, Maisarah; Medina, Gita; Anisa, Nor
Majalah Ilmiah METHODA Vol. 15 No. 1 (2025): Majalah Ilmiah METHODA
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methoda.Vol15No1.pp85-92

Abstract

This study aims to analyze the implementation of digital community strategies by PT Ace Hardware Indonesia to enhance customer interaction and loyalty through a case study in Banjarmasin City. In the digital era, an active customer community has become a critical strategic asset for companies to build long-term relationships with consumers. This research employs a qualitative approach through in-depth interviews with company representatives to explore how digital platforms, such as mobile applications, social media, and loyalty programs, are effectively utilized. The findings indicate that PT Ace Hardware Indonesia adopts interactive content campaigns, exclusive discounts, and personalized features to boost customer engagement. Additionally, the established digital community enables customers to discuss, share experiences, and provide valuable feedback, indirectly strengthening brand loyalty. With consistent implementation, the company successfully expands its market share while creating an enhanced customer experience. This study provides practical insights for other companies seeking to integrate digital community strategies as part of their marketing efforts and customer relationship management in a technology-driven environment.
Meningkatkan Aksesibilitas dan Konsistensi Desain Web: Studi Implementasi di Figma Rina, Rina; Anisa, Nor
Majalah Ilmiah METHODA Vol. 15 No. 1 (2025): Majalah Ilmiah METHODA
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methoda.Vol15No1.pp1-9

Abstract

In this ever-evolving digital era, technology, especially User Interface (UI) and User Experience (UX) design, plays a crucial role in enhancing user comfort while interacting with applications and websites. As a cloud-based design tool, Figma simplifies the creation of consistent and accessible designs while enabling real-time collaboration among designers. Through user experience testing and analysis, this study aims to determine Figma’s role in improving web design accessibility and consistency. The research was conducted through Black Box testing and the distribution of a questionnaire, with 18 respondents participating. The test results indicate that Figma’s design is easy to understand and contains many consistent elements. However, there are some areas for improvement, particularly related to navigation and feature search. Overall, 33.3% of respondents rated Figma’s web design as excellent in terms of accessibility and consistency, although there is room for further improvement. This study suggests enhancing navigation aspects and ensuring design elements are more consistent across pages to improve the overall user experience.
Analisis Survei Kepuasan Mahasiswa terhadap Sistem Absensi Akademik (SIAKAD) Syarifuddin, Syarifuddin; Anisa, Nor
Majalah Ilmiah METHODA Vol. 15 No. 1 (2025): Majalah Ilmiah METHODA
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methoda.Vol15No1.pp24-30

Abstract

The Academic Attendance System (SIAKAD) is a crucial component in educational management at universities, aimed at facilitating the management of student attendance. This study aims to analyze student satisfaction with SIAKAD, focusing on user interface, available features, and its impact on the learning process. Data were collected through a survey involving 200 students from various programs and semesters, using a questionnaire designed to evaluate students' perceptions of the system. The results indicate that 75% of respondents access SIAKAD daily, with most spending 5-15 minutes each time. A majority of students (70%) find the user interface easy to use, although 30% of respondents indicated a need for improvements in navigation. The attendance and grade report features are the most frequently used, accessed by 85% and 70% of students, respectively. The impact of SIAKAD on the learning process is also significant, with 80% of respondents feeling that the system helps them manage attendance and enhance academic responsibility. This research is expected to provide useful insights for SIAKAD administrators in improving and developing the system in the future, as well as contribute to the literature on user satisfaction in higher education contexts. The findings also open opportunities for further studies on technology implementation in education and its effects on students' learning experiences.
Penerapan Algoritma K-Means Berbasis RapidMiner pada Analisis Distribusi Air Bersih di Indonesia Agustina, Melisa; Anisa, Nor
Majalah Ilmiah METHODA Vol. 15 No. 1 (2025): Majalah Ilmiah METHODA
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methoda.Vol15No1.pp43-49

Abstract

This study aims to analyze the distribution pattern of clean water, identify the largest production capacity, and examine the distribution of the highest number of customers of clean water companies in several provinces in Indonesia using the K-Means algorithm. The data used includes distribution of delivery, potential production capacity (liters per second), and the number of customers of clean water companies across various provinces in Indonesia. The K-Means method is applied to cluster provinces based on the similarity of distribution patterns, production capacity, and customer numbers. The analysis results reveal significant clustering, where certain provinces have high clean water production capacity and a large number of customers, with the volume of water distributed matching the production capacity. These findings indicate a good balance between production capacity, the number of customers, and the volume of water distribution. This study focuses on the analysis of clean water distribution, the largest production capacity, and customers of clean water companies in various provinces in Indonesia. The insights gained can assist companies in designing more efficient distribution strategies to optimally meet customers needs across different regions. This contributes to the sustainable and equitable management of clean water resources.
Hubungan Upah Industri dan Pengeluaran Per Kapita Terhadap Inflasi di Kalimantan dengan Pendekatan Metode Regresi Linda, Linda; Anisa, Nor
Majalah Ilmiah METHODA Vol. 15 No. 1 (2025): Majalah Ilmiah METHODA
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methoda.Vol15No1.pp50-55

Abstract

This study aims to analyze the influence of average industrial sector wages and per capita expenditure on inflation in Kalimantan using the multiple linear regression method. The data used includes annual average industrial sector wages and per capita expenditure as independent variables, with the inflation rate as the dependent variable. The analysis results indicate that average industrial sector wages have a significant impact on inflation, while per capita expenditure contributes on a smaller scale. The applied inflation prediction model demonstrates a fairly good level of accuracy with an RMSE value of 0.010 ± 0.000. However, significant deviations between predicted and actual values were observed at certain points, such as inflation rates of 0.015 and 0.04, highlighting limitations in the model. The findings imply that an increase in industrial sector wages could drive inflation due to higher production costs passed on to consumers. Conversely, higher per capita expenditure shows a weaker correlation with inflation but still contributes to increased consumption. This study is expected to serve as a reference for policymakers in formulating more effective strategies to control inflation in Kalimantan, such as managing industrial sector wages and enhancing household purchasing power.
STRATEGI PEMASARAN LAZADA, SHOPEE DAN TOKOPEDIA DALAM PEMASARAN BARU SISTEM PENDUKUNG KEPUTUSAN MENGGUNAKAN METODE SAW Gita Medina; Nor Anisa
KOMNET : Jurnal Komputer, Jaringan dan Internet 2023: Vol 1 No 2
Publisher : Pusat Penelitian dan Pengabdian Politeknik Negeri Tanah Laut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34128/5jzwd835

Abstract

Penelitian ini mengkaji strategi pemasaran tiga platform e-commerce terbesar di Indonesia: Lazada, Shopee, dan Tokopedia, menggunakan metode Simple Additive Weighting (SAW) untuk menilai efektivitas dan efisiensi strategi tersebut. Analisis mencakup kriteria pemasaran seperti promosi, harga, kualitas layanan, kepercayaan konsumen, dan fitur teknologi. Hasil menunjukkan bahwa masing-masing platform memiliki keunggulan kompetitif. Shopee unggul dalam promosi dan harga yang kompetitif, yang menarik minat konsumen. Tokopedia menonjol dalam kualitas layanan dan kepercayaan konsumen, menjadikannya pilihan utama bagi yang mengutamakan pengalaman belanja yang memuaskan. Lazada, dengan inovasi teknologinya, menarik perhatian konsumen yang mencari fitur canggih dan kemudahan transaksi. Kesimpulan penelitian ini menekankan bahwa setiap platform memiliki kekuatan dan keunikan yang berbeda untuk menarik segmen pasar tertentu. Shopee perlu mempertahankan fokus pada promosi dan harga, Tokopedia harus terus meningkatkan kualitas layanan dan membangun kepercayaan, sedangkan Lazada harus berinovasi dalam teknologi dan fitur. Metode SAW terbukti efektif dalam memberikan penilaian komprehensif terhadap strategi pemasaran, yang dapat membantu perusahaan mengoptimalkan pendekatan mereka di pasar e-commerce yang kompetitif. 
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN PRODI FAKULTAS SAINS DAN TEKNOLOGI DI UNIVERSITAS SARI MULIA Zaid; Gregorius Amori; Arpan Mualief Saprizal; Syarifuddin; Nor Anisa
KOMNET : Jurnal Komputer, Jaringan dan Internet 2022: Vol 1 No 1
Publisher : Pusat Penelitian dan Pengabdian Politeknik Negeri Tanah Laut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34128/h11d5n12

Abstract

Sistem pendukung keputusan merupakan salah satu alat terbaik dalam membantu manusia dalam memutuskan sebuah keputusan yang bijak. Universitas Sari Mulia dewasa ini memiliki tiga fakultas dan salah satunya adalah Fakultas Sains dan Teknologi. Fakultas ini untuk sekarang sudah memiliki tiga program studi yang hampir mirip. Untuk itu diperlukan sebuah sistem pendukung keputusan untuk membantu calon mahasiswa baru dalam memilih prodi di fakultas ini yang sesuai dengan diri mereka. Sistem ini menggunakan bahasa pemrograman python yang dibantu dengan bantuan library numpy dan pandas untuk memproses data dan melakukan penghitungan serta matplotlib dan seaborn untuk memvisualisasikan data dari hasil penghitungan metode SAW.
SISTEM PEMANTAUAN TEMPERATUR SUHU RANCANGAN  INTERNET OF THINGS Tira Margaret; Putra Sanjaya Kaharap; Muhammad Rafliansyah; Muhammad Bayu Saputra; Muhammad Gazali Noor; Nor Anisa
KOMNET : Jurnal Komputer, Jaringan dan Internet 2023: Vol 1 No 2
Publisher : Pusat Penelitian dan Pengabdian Politeknik Negeri Tanah Laut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34128/m1wz3088

Abstract

Perkembangan teknologi Internet of Things (IoT) telah membuka banyak peluang untuk membangun sistem pemantauan lingkungan yang lebih efisien dan terjangkau. Pada penelitian ini, kami mengembangkan  sistem pemantauan suhu berbasis IoT dengan menggunakan perangkat keras Arduino Uno, sensor suhu TMP36, LED, dan resistor. Sistem yang dibangun terdiri dari perangkat keras antara lain Arduino Uno, sensor suhu TMP36, LED, dan resistor. Sensor suhu TMP36 digunakan untuk mengukur suhu  lingkungan tertentu dan mengirimkan datanya ke Arduino Uno. Arduino Uno kemudian memproses data suhu dan mengontrol LED untuk menampilkan informasi suhu. Sistem  juga dilengkapi dengan antarmuka pengguna berbasis web yang memungkinkan pengguna  memantau suhu secara real time dan menerima notifikasi jika suhu melebihi batas yang ditentukan. Hasil pengujian menunjukkan bahwa sistem pemantauan suhu berbasis IoT ini dapat memberikan informasi suhu yang akurat secara real time. Pengguna dapat dengan mudah memantau dan menerima informasi suhu melalui antarmuka web dan menerima pemberitahuan jika suhu melebihi batas yang ditentukan.  Sistem ini juga terbukti relatif murah untuk dibangun  dan mudah  diimplementasikan. Penelitian ini berkontribusi pada pengembangan solusi IoT untuk memantau suhu lingkungan yang dapat digunakan di berbagai bidang seperti industri, rumah tangga, dan pertanian. Sistem ini diharapkan dapat meningkatkan efisiensi, kenyamanan dan keamanan dalam menghadapi kondisi lingkungan.
Co-Authors adha, Fajar Agustina, Melisa Anggara Kurniawan Anggit Suryan Rohyan Arpan Mualief Saprizal Desvira Annisa Gita Medina Gregorius Amori Halimatur Rahmi Hamid, Muhammad Abdul Juan Edbert Sinaga Khairani Syahbana KHOIRUN NISA Kurniawan, Satria Fajar Dwi Linda Linda M. Zufannor Ihsan Maisarah Maisarah, Maisarah Maulana, Hendra Medina, Gita Mera Muhammad Bayu Saputra Muhammad Fitri Saputra Muhammad Gazali Noor Muhammad Rafliansyah Nurul Fahmi Pebriana, Risky Putra Sanjaya Kaharap Rahmi, Halimatur Raudhatul Jannah Rina Rina Risky Pebriana Rizky Aulia Akbar Rohyan, Anggit Suryan Saprizal, Arpan Mualief Saputra, Muhammad Bayu Saputra, Muhammad Fitri Satria Fajar Dwi Kurniawan Sefti Wulandari Syarifuddin Syarifuddin Syarifuddin Tira Margaret Zaid Zaid