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Imelda Saluza, Imelda

Universitas Indo Global Mandiri

Author-ID : 1254373

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Pengembangan Materi Pembelajaran dengan Memanfaatkan Teknologi Augmented Reality untuk Guru Sekolah Menengah Atas Permatasari, Indah; Saluza, Imelda; Yulianti, Evi; Ramadhan, Mustafa
Jurnal Pemberdayaan Masyarakat Vol 10 No 1 (2025): Mei
Publisher : Direktorat Penelitian dan Pengabdian kepada Masyarakat (DPPM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/jpm.v10i1.10906

The Learning Material Development Training Utilizing Augmented Reality Technology at SMA Negeri 1 Banyuasin I aimed to enhance teachers' digital skills in creating interactive, AR-based teaching materials. Involving 33 teachers, the training was carried out through three phases: preparation, implementation, and evaluation. The preparation phase included a needs assessment and interviews to understand the technological limitations at the school and teachers' familiarity with AR. Based on this assessment, training materials were developed covering AR fundamentals and the use of the Assemblr Edu application. During the implementation phase, participants attended theory sessions on AR concepts and practical sessions using Assemblr Edu to develop teaching materials for their respective subjects. Evaluation was conducted via pre-tests, post-tests, and a satisfaction survey. Results showed that 85% of participants successfully produced suitable AR-based teaching materials, while 93% gave a satisfaction rating of 4 or higher. This program effectively improved teachers' skills in AR technology use, laying a foundation for more interactive and modern learning experiences at the school.

Pemetaan Literasi Digital Masyarakat Dalam Menilai Kesiapan Akses Pelayanan Publik Digital di Kecamatan Sanga Desa Indah, Sylvia Uly; Antoni, Darius; Saluza, Imelda
Jurnal Nasional Ilmu Komputer Vol. 6 No. 3 (2025): Jurnal Nasional Ilmu Komputer
Publisher : Training and Research Institute Jeramba Ilmu Sukses (TRI - JIS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47747/jurnalnik.v6i3.2900

Digital transformation in public service delivery requires community readiness in understanding and utilizing technology. At the village level, digital information systems such as Prodeskel, EPDeskel, Siskeudes, and SIPADES have been implemented by local governments to improve efficiency and transparency. However, low levels of digital literacy among citizens can hinder optimal use of these digital services. This study aims to map the digital literacy capabilities of the community in Sanga Desa Subdistrict as a basis for assessing their readiness to access technology-based public services. The research employed a quantitative approach using questionnaires based on the Digital Literacy Global Framework (UNESCO), which includes five dimensions: information and data literacy, communication and collaboration, digital content creation, safety, and problem-solving. A total of 500 respondents from 17 villages participated in the study. Data analysis using the digital literacy index and SPSS revealed that the majority of residents fall into the high and very high categories of digital literacy. However, some villages still demonstrate low readiness levels. This study recommends strengthening digital literacy training, developing digital infrastructure, and fostering collaboration between government and communities to support the success of digital transformation in rural public services

Pemanfaatan Aplikasi “FunMath” untuk Pembelajaran Matematika Interaktif Berbasis Kurikulum Merdeka Pada SMK Pembina 2 Palembang Nining; Saluza, Imelda; Syahrul Haq, Muhammad Raka
Jurnal Abdimas Mandiri Vol. 9 No. 2
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jam.v9i2.5703

Kurikulum Merdeka menuntut media pembelajaran inovatif, terutama untuk matematika. Program Pengabdian kepada Masyarakat (PkM) ini memperkenalkan "FunMath", aplikasi matematika berbasis Android dengan pendekatan gamifikasi, di SMK Pembina 2 Palembang. "FunMath" dirancang untuk meningkatkan minat, motivasi, dan pemahaman konsep matematika siswa, sejalan dengan prinsip kurikulum tersebut. PkM ini menggunakan metode action research, meliputi penilaian kebutuhan, penyempurnaan aplikasi, pelatihan komprehensif bagi guru dan siswa, diikuti implementasi, dan pendampingan berkelanjutan dengan pendekatan berbasis proyek dan penelitian terapan. Data dari survei, observasi, dan kuesioner menunjukkan "FunMath" sangat bermanfaat dan mudah digunakan. Fitur interaktif dan gamifikasi aplikasi ini secara signifikan meningkatkan pengalaman belajar siswa, mendorong keterlibatan dan pemahaman yang lebih baik dalam matematika. Program ini membuktikan bahwa solusi pembelajaran terintegrasi teknologi efektif mengatasi tantangan belajar tradisional dan mendukung transformasi kurikulum yang berpusat pada siswa. Respon positif mengindikasikan "FunMath" dapat menjadi alat pembelajaran alternatif yang berharga, meningkatkan kualitas pendidikan matematika dan memfasilitasi implementasi Kurikulum Merdeka di SMK.

THE UTILIZATION OF STRUCTURAL EQUATION MODELLING TO DETERMINE CASUALITY ON CONSUMER DECISION OF E-WALLET Hartati, Hartati; Saluza, Imelda; Iisnawati, Iisnawati; Teguh, Teguh
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 4 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss4pp2113-2124

One of the technological innovations that exemplifies transactional innovation is the use of an E-Wallet as a means of carrying out financial transactions. This invention enhances transactional ease and quickness. The E-Wallet is the most popular means of financial transaction among the general population. The traditional marketing mix has developed into the product, price, place, promotion, personalization, privacy, customer service, community, site, security, and sales promotion (4Ps+P2C2S3). These criteria are used to evaluate their efficacy in persuading customers to adopt an E-Wallet. Structural Equation Modeling (SEM) is used to assess the causal link between e-marketing mix items and customer decisions to use E-Wallet. SEM provides the core capability of validating the validity and reliability of procedures such as Confirmatory Factor Analysis (CFA). by investigating the pattern of linkages between latent variables and showing them with route diagrams. This study employed 200 E-Wallet users in Palembang for modeling. with the criterion of having one of the E-Wallet programs on a smartphone and having used the application at least once. According to the results of the consumer response processing. all constructs have Cronbach's Alpha (CA) > 0.60, indicating that all constructs are valid for use in measurement. As do the Average Variance Extracted (AVE) and Composite Reliability (CR) values > 0.70, indicating that the construct explains more than half of the variance coming from the indicators. Furthermore, we show the results of evaluating the causal relationship between endogenous construct elements that influence customer decisions, such as location, security, and sales promotion.

PREDICTION INDONESIA COMPOSITE INDEX USING INTEGRATION DECOMPOSITION- NEURAL NETWORK ENSEMBLE DURING VUCA ERA Saluza, Imelda; Munarsih, Ensiwi; Faradillah, Faradillah; Anggraini, Leriza Desitama
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 4 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss4pp2721-2736

The Volatility, Uncertainty, Complexity, and Ambiguity (VUCA) era causes turmoil in the capital markets, stocks, commodities, etc. The impact is a decline in the Composite Stock Price Index (IHSG) in 2020. Therefore, future data is needed to inform investors and business people when making portfolio decisions. This paper develops a decomposition and Neural Network (NN) integration model to predict ICI during the VUCA era. The results are presented empirically to show the model's effectiveness in reducing prediction errors. First, the actual data is converted into three components; second, with the Neural Network Ensemble (NNE) approach where the initial step of decomposition results is trained using artificial NN with architecture, training data, and topology to produce individual networks; The output is selected using Principal Component Analysis (PCA) and becomes input to the ensemble model, then combined using a simple average and weighted average. The empirical results from ICI predictions illustrate: (1) decomposition has the potential to overcome data that is characterized by high volatility; (2) NNE is able to reduce errors (MSE≤0.100e-4, MAE≤0.01) compared to individual networks (MSE=0.0024 MAE=0.0376); (3) ensemble combinations using weighted averages (MSE≤3.00e-5,MAE≤0.002) are superior to simple averages (MSE≤5.00e-5,MAE≤0.01); (4) the integration carried out shows effectiveness in predicting ICI and provides better prediction results.

Workshop Penggunaan Aplikasi FunMath Berbasis Android Dalam Meningkatkan Minat Belajar Siswa Saluza, Imelda; Ariati, Nining; Astuti, Lastri Widya; Syachrul Haq, Muhammad Raka; Eko Nugroho, Muhammad Davidio
Jurnal Abdimas Mandiri Vol. 9 No. 2
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jam.v9i2.5564

Berdasarkan hasil analisis permasalahan di SMA Negeri I Pemulutan, Sumatera Selatan, ditemukan kesenjangan antara ketersediaan fasilitas pembelajaran yang telah difasilitasi oleh pemerintah dengan pemanfaatan di lapangan. Meskipun sarana teknologi telah tersedia, namun dalam penerapannya pemanfaatan teknologi masih terbatas yang menyebabkan pembelajaran masih konvensional dan kurang menarik. Guru masih dominan menggunakan metode ceramah, sementara siswa kurang mendapatkan latihan soal yang memadai. Sehingga berdampak pada rendahnya pemahaman dan minta siswa terhadap matematika. Untuk mengatasi permasalahan tersebut, tim PkM mengembangkan aplikasi FunMath berbasis Android sebagai media pembelajaran matematika yang interaktif, menarik, dan mudah diakses. Pengembangan aplikasi dilakukan melalui tahapan: analisis kebutuhan, perancangan, pengembangan, pengujian internal, serta pelatihan kepada siswa. FunMath dilengkapi fitur materi interaktif, latihan soal adaptif, video penjelasan konsep, tips & trik penyelesaian soal, serta inovasi unggulan berupa robot bantu belajar yang mampu menjawab pertanyaan siswa, memberikan petunjuk langkah demi langkah, dan memberikan motivasi selama proses belajar. Hasil evaluasi menunjukkan bahwa 59% siswa mengalami peningkatan hasil belajar, 70% merasa lebih mudah memahami materi matematika, dan 86,34% menyatakan suasana belajar menjadi lebih inovatif dan menyenangkan sesuai prinsip Merdeka Belajar. Selain itu, 75,34% siswa menilai integrasi teknologi seperti FunMath sangat penting untuk memperkaya pengalaman belajar dan meningkatkan keberhasilan akademik.

Penentuan Tingkat Kekumuhan Permukiman Kumuh Kota Palembang Dengan Metode Algoritma K-Means Clustering Dan Algoritma ID3 Sari, Endah Puspita; Astuti, Lastri Widya; Saluza, Imelda; Faradillah, Faradillah; Yunita, Rini
INTECH Vol. 2 No. 1 (2021): INTECH (Informatika Dan Teknologi)
Publisher : Informatics Study Program, Faculty of Engineering and Computers, Baturaja University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54895/intech.v2i1.869

Slum settlers are a condition of uninhabitable settlements. Slums are devided into 4 levels, namely : high slums, medium, light and not slum. To produce these four levels, method is used namely K-Means Clustering Algorithm and the ID3 Algorithm is used to give priority with pre determined attributes then accumulated with the results of clustering classified as slum level. The accuracy test is performe by using the confusion matrix method, where the data results from the K-Means Clustering method compared to the baseline data. The results obtained from the accuracy with confusion matrix is 0,70%, which means the level of truth (accuracy) between the result of the baseline data with research data is 70%.

Prediksi Harga Saham Menggunakan Empirical Mode Decomposition dan Feed Forward Neural Networks Saluza, Imelda; Mohammad Taufikurrahman; Lastri Widya Astuti; Hartati; Dhamayanti; Evi Yulianti
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 15 No 2 (2023): Jurnal Penelitian Ilmu dan Teknologi Komputer (JUPITER)
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.10068884

Stocks are a very market and shares are a characteristic of a company and their movements are influenced by the market. So if a company experiences problems, the company's shares may experience a spike. As happened with the Bank Syariah Indonesia (BSI) company which experienced service problems on the 8th to 20th. May 11, 2023, which caused a sharp decline in the company's shares. Volatile spikes can cause a risk of loss for investors and business people in the company. So both need to estimate their portfolio. Therefore, it is necessary to predict the share price, the closing price of BSI shares. This research uses time series data from the closing price of BSI shares, which is followed by decomposition using Empirical Model Decomposition (EMD) to break down the original data into several signals which then select these signals using Correlation Based Feature Selection (CFS) for feature selection and ends with make predictions using the Feed Forward Neural Networks (FFNN) algorithm. Based on the proposed model, the Mean Square Error (MSE) (training: 3.84E-02, testing: 1.73E-05) and Mean Absolute Error (MAE) (training: 1.48E-01, testing: 3.40E-03) values â€‹â€‹are low for both training and testing data compared to without perform EMD and CFS from original data.

Penerapan Importance Performance Analysis (IPA) pada Evaluasi Keberlanjutan Penggunaan e-filing untuk Pelaporan Pajak Perorangan Saluza, Imelda; Sartika, Dewi
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 9 No 1: Februari 2022
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2021864825

E-filing merupakan bentuk penerapan sistem Modul Penerimaan Negara Generasi Kedua (MPN G2) yang mulai diterapkan pada tahun 2007. Sistem tersebut telah memanfaatkan billing dan surat elektronik sebagai bagian transaksi, namun masih terpisah dengan situs resmi Direktorat Jendral Pajak (DJP). Pada tahun 2014 DJP menggabungkan semua layanan pelaporan serta pembayaran pajak pada satu sistem. Hal tersebut dilakukan guna meningkatkan pelayanan. Guna mengoptimalkan penggunaan e-filing sebagai media penyampaian Surat Pemberitahuan Tahunan (SPT) pajak perorangan. Menteri Keuangan mengeluarkan Peraturan Nomor 9 Tahun 2018 tentang kewajiban penggunaan e-filing untuk melaporkan SPT PPh 21/26 dan PPN. Berdasarkan hasil observasi peneliti pada tahun 2017 masih terdapat 22% Wajib Pajak (WP) di Palembang tidak melaporkan SPT pajak perorangan. Berdasarkan permasalahan tersebut, maka perlu dilakukan evaluasi terhadap keberlanjutan penggunaan e-filing. Pada prosesnya peneliti telah mengembangkan model evaluasi dari keberlanjutan penggunaan e-filing. Proses evaluasi dilakukan dengan melakukan analisis SEM dengan menggunakan PLS 2.0. berdasarkan hasil evaluasi terdapat beberapa manifest yang tidak valid yaitu fulfillment dan manifest functionallity yang tidak reliabel. Selanjutnya dilakukan uji hipotesis, hasil pengujian menunjukkan bahwa dependability tidak berpengaruh positif terhadap system quality, accuracy, timeliness, relevance dan timeliness tidak berpengaruh positif information quality, serta service quality dan information quality tidak berpengaruh positif terhadap continued use. Kenyataannya proses evaluasi menggunakan SEM hanya terbatas kepada pengujian hipotesis dari masing-masing variabel. Sehingga dibutuhkan analisis lanjutan yaitu IPA yang bertujuan untuk mengetahui faktor-faktor yang perlu ditingkatkan dalam keberlanjutan penggunaan e-filing. Dengan harapan pihak yang berwenang dalam hal ini DJP dapat mengidentifikasi masalah serta mengambil kebijakan-kebijakan guna keberlanjutan penggunaan sehingga e-filing dapat terus digunakan untuk pelaporan SPT pajak perorangan. Importance Performance Analysis (IPA) merupakan analisis sederhana yang terdiri dari dua dimensi yaitu kepentingan dan kinerja dari suatu sistem. Analsis ini dapat digunakan untuk mengetahui ekspektasi serta harapan WP terhadap e-filing serta kinerja e-filing menurut WP. Hasil analisis menunjukkan bahwa pihak DJP lebih berkonsentrasi terhadap kuadran I, karena kuadran I menyatakan bahwa harapan yang tinggi dari setiap SPT sedangkan kinerja dari DJP masih rendah. Beberapa indikator tersebut antara lain adalah Understandability (kejelasan informasi yang diberikan oleh e-filing), Contact (kontak yang dapat dihubungi), Functionality (peningkatan kualitas dan mutu pajak), Ease of Use (e-filing sulit dipelajari), Usefulness (penghematan waktu pelaporan), Service Quality, Efficiency (pengaksesan e-filing dengan gadget lain), Fulfillment (kesulitan dalam memenuhi kebutuhan pelapor). Hasil dari penelitian ini dapat dijadikan acuan bagi DJP dalam mengambil kebijakan dalam peningkatan layanan e-filing guna keberlanjutan penggunaanya untuk pelaporan SPT pajak perorangan. AbstractE-filing is a method of applying the 2007-implemented Second Generation State Revenue Module (MPN G2) scheme. While this mechanism includes billing and electronic mail as part of the transaction, it is also independent from the Directorate General of Taxes' official website (DGT). In 2004, DGT merged both tax reporting and payment systems into one scheme. This is conducted to enhance customer experience. To get the most out of e-filing as a method of uploading individual tax returns (SPT). The Minister of Finance released Regulation No. 9 of 2018 requiring SPT PPh 21/26 and VAT reporting to be done electronically. According to study findings from 2017, there were already 22% of taxpayers (Wajib Pajak) in Palembang who did not file individual tax returns in 2017. Based on these issues, it is important to assess the long-term viability of e-filing. Researchers created an assessment model for the long-term viability of e-filing in the process. SEM analysis with PLS 2.0 is applied to carry out the assessment process. There are many invalid manifestations based on the evaluation performance, including invalid fulfillment and defective manifest features. In addition, the hypotheses is checked, and the findings indicate that dependability has no positive impact on device consistency, precision, timeliness, significance, and timeliness have no positive impact on information quality, and service quality and information quality have no positive impact on continued use. In fact, the SEM assessment process is restricted to evaluating each variable's hypothesis. As a result, further research is needed, namely IPA, which aims to identify the variables that need to be changed in the long-term usage of e-filing. In the expectation that the authorities in this case DGT will be able to recognize issues and implement measures that will enable e-filing to continue to be used for individual tax returns. A basic analysis consisting of two dimensions, namely the significance and efficiency of a method, is known as an Importance Performance Analysis (IPA). This research will be used to assess taxpayer priorities and expectations about e-filing, as well as e-filing success according to taxpayers. The findings of the study suggest that the DGT is more focused on quadrant I, so quadrant I notes that each SPT has high hopes, while the DGT's output is still poor. Some of these indicators include Understandability (clarity of information provided by e-filing), Contact (contact that can be contacted), Functionality (quality improvement and tax quality), Ease of Use (e-filing is difficult to learn), Usefulness (time saving reporting), Service Quality, Efficiency (accessing e-filing with other gadgets), Fulfillment (difficulties in meeting the needs of the reporter). The findings of this study should be used by DGT to develop strategies to expand e-filing systems so that they can be used for individual tax returns in the long run.

Pemanfaatan Canva untuk Guru Sekolah Dasar sebagai Media Penyusunan Materi. Permatasari, Indah; Sartika, Dewi; Heriansyah, Rudi; Saluza, Imelda
Reswara: Jurnal Pengabdian Kepada Masyarakat Vol 5, No 2 (2024)
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/rjpkm.v5i2.4347

Di sekolah, saat ini telah memanfaatkan teknologi untuk menyampaikan informasi pembelajaran kepada peserta didik. Selain faktor infrastuktur dan pemahaman penggunaan internet, peningkatan pada kemampuan para pendidik dalam memberikan materi juga perlu diperhatikan. Pengembangan materi yang menyesuaikan pemanfaatan teknologi dirasa akan menjadi modal penting untuk tetap menarik perhatian peserta didik agar tetap berminat belajar secara mandiri. Modal materi inilah yang saat ini sering dibuat bervariasi karena harus bersaing dengan era generasi peserta didik yang lebih tertarik dengan teknologi. Dengan tujuan untuk memberikan pemahaman kepada para pendidik/Guru agar dapat membuat materi dengan tampilan yang lebih menarik hanya dengan memanfaatkan aplikasi Canva, tim PkM mengusulkan diperlukan kegiatan pelatihan. Metode workshop dipilih sebagai solusi agar dapat berinteraksi langsung dengan para pendidik selain pemberian pelatihan. Hasil dari kegiatan menunjukkan sebanyak 13 peserta belum pernah menggunakan aplikasi Canva serta sebanyak 22 peserta merasa tertarik dengan aplikasi Canva. kegiatan workshop ini sebagai bagian dari pengabdian masyarakat (PkM) telah diselesaikan dengan baik dan dapat disimpulkan bahwa saat ini kegiatan dianggap penting dilakukan karena masih rendahnya jangkauan pemahaman peserta/Guru terkait beberapa aplikasi pendukung penyusunan materi pembelajaran

Co-Authors Abdul Aziz Zulfikar Agustina Heryati Ahmad Sanmorino Akbar, Muhamad Hafiz Alie, Muhammad Fadhiel Alpin Herman Saputra Andini Utari Putri Anggraini, Leriza Desitama Anjani, Fia Sakina Antoni, Darius Ariati, Nining Aulia, Beta Bagus Setiawan Bobby Halim Cyndika Dewi Sartika DEWI SARTIKA Dewi Sartika Dewi Sartika Dhamayanti Dhamayanti Dhamayanti Dhamayanti Dhamayanti Dhamayanti, Dhamayanti Eko Nugroho, Muhammad Davidio Endah Dewi Purnamasari Endah Purnamasari Endah Puspita Sari Ensiwi Munarsih, Ensiwi Eva Susanti Evi Yulianti EVI YULIANTI Faradilla Faradilla Faradillah , Faradillah Faradillah Faradillah Faradillah, Faradillah Fattah, Hussein Hartati Hartati Hartati Hatika Hatika, Hatika Heryati , Agustina Heryati*, Agustina Husnawati Husnawati Iisnawati, Iisnawati Indah Permata Sari Indah Permatasari Indah Permatasari Indah Permatasari Indah, Sylvia Uly Kesuma, Hendra Di Lastri Astuti Lastri Widya Astuti Lastri Widya Astuti Lastri Widya Astuti, Lastri Widya Leriza Anggraini M. Fadhiel Alie Marcelina, Dona Marcellina, Dona Maya Amelia Mohammad Taufikurrahman Muhammad Fadhiel Alie Muhammad Haviz Irfani Nazori Suhandi Nining Nova Yanti Maleha Patriansah, Mukhsin Pratiwi, Indah Putri Putri, Hilda Muslia Putri, Indah Pratiwi Ramadhan, Mustafa Rini Yunita, Rini Roswaty Roswaty Roswaty Roswaty Roswaty Roswaty Roswaty Roswaty, Roswaty Rudi Heriansyah Rudi Heriansyah, Rudi Sartika, Dewi Sinta Habibah Sunardi, Hastha Suryati Syachrul Haq, Muhammad Raka Syahrul Haq, Muhammad Raka Teguh Teguh Wulandari, Try Yulianti, Evi Yulius, Yosef Zulfikar, Abdul Aziz

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