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All Journal Gaung Informatika JAM : Jurnal Aplikasi Manajemen Jurnal Pembangunan dan Alam Lestari Habitat Jurnal Tekinkom (Teknik Informasi dan Komputer) Jurnal Pengabdian Masyarakat Multidisiplin IJECS: Indonesian Journal of Empowerment and Community Services International Journal of Computer and Information System (IJCIS) Merdeka Indonesia Jurnal International Jurnal Algoritma Teknika Engineering and Technology International Journal (EATIJ) Jurnal Riset Sistem dan Teknologi Informasi AGRARIS: Journal of Agribusiness and Rural Development Research Journal of Information System and Application Development Journal of Tropical Rural Development Jurnal Nasional Teknologi Informasi dan Aplikasinya Jimstek
Dwi Retnoningsih
Universitas Sahid Surakarta
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Aplikasi Pembelajaran Interaktif pada Mata Pelajaran Informatika Berbasis Android Mandansari, Titik; Retnoningsih, Dwi; Hari Saputro Al Haris, Firdhaus; Charolina, Astri
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2445

Abstract

Active, innovative, and enjoyable learning has become a necessity today. SMK Muhammadiyah 5 Miri Sragen is a school committed to implementing active and innovative learning. However, limited computer laboratory facilities have prevented the optimal implementation of Informatics learning. Additionally, students still use smartphones more for entertainment than for learning. This study aims to design and develop an interactive Android-based learning application in accordance with the Merdeka Curriculum. This application is intended for 10th grade students from all majors and features learning materials, instructional videos, discussion forums, and interactive quizzes. The development method used is ADDIE, while data collection is carried out through observation, interviews, and literature studies. The results of testing using the black box method on 15 scenarios show that all features work as expected. In addition, beta testing involving 104 respondents resulted in a satisfaction rate of 78.8%, which is considered acceptable. This application has been proven to improve students' understanding of computer science in an interactive and flexible manner. This application also contributes to improving the efficiency of teachers in processing student grades. For schools, it provides benefits in the form of improved quality of digital learning.
Pengukuran Kualitas Website E-Procurement Menggunakan Standart ISO/IEC 25010 Faris Hudaifi, Afif; Retnoningsih, Dwi; Charolina, Astri
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2838

Abstract

The development of technology and the growing needs of users make website quality evaluation crucial to ensure optimal performance and adequate security. The E-Procurement system of PT ASDP Indonesia Ferry (Persero) is an online procurement platform for goods and services designed to enhance efficiency, transparency, and accountability in the procurement process. This study aims to assess the quality of the E-Procurement website of PT ASDP Indonesia Ferry using the international ISO/IEC 25010 standard, focusing on four key aspects: functional suitability, performance efficiency, compatibility, and security. The research method combines quantitative and qualitative approaches through testing with GTMetrix, Google PageSpeed Insights, Pingdom, ImmuniWeb, as well as a Mean Opinion Score (MOS) survey of internal users. The findings indicate that functional suitability and compatibility fall into the “very good” category. Performance efficiency varies: low scores on GTMetrix (9%), but high scores on Google PageSpeed Insights (94) and Pingdom (95). Security was rated “C” due to the use of outdated libraries and suboptimal cookie configurations. Recommendations include optimizing loading speed, updating security components, and improving accessibility and SEO. From an academic perspective, this study reinforces the application of the ISO/IEC 25010 standard as a framework for evaluating the quality of web-based software and demonstrates the integration of automated testing methods and user perceptions as a comprehensive approach in software engineering. This research is expected to serve as a reference for developing E-Procurement websites that are more efficient, secure, and compliant with software quality standards.
Implementasi Metode LSTM untuk Prediksi Harga Saham PT Indofood CBP Sukses Makmur TBK Endritha Pramudya; Dwi Retnoningsih; Diyah Ruswanti
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 3 No. 4 (2025): JNATIA Vol. 3, No. 4, Agustus 2025
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JNATIA.2025.v03.i04.p24

Abstract

High stock price fluctuations make stock prices difficult to predict accurately. Therefore, a predictive analysis approach that utilizes historical data in addition to machine learning methods is needed to help estimate price movements more effectively. This study aims to determine the performance of the Long Short-Term Memory (LSTM) method in predicting the stock prices of PT Indofood CBP Sukses Makmur Tbk based on historical data. LSTM is a type of artificial neural network that is effective in processing time series data due to its ability to capture long term relationships between data. Historical data is used to train the LSTM model. The results show that the LSTM model is effective in predicting stock prices, with an average accuracy of 80.5%. Sukses Makmur Tbk based on historical data. LSTM is one type of artificial neural network that is effective in processing time series data due to its ability to capture long-term relationships between data points. The data used consists of ICBP stock closing prices from January 2019 to May 2025. The methods used include data cleaning, data normalization, data splitting, model design, prediction, denormalization, and evaluation using the Mean Absolute Percentage Error (MAPE) metric. The research results demonstrate that the LSTM model performs well in recognizing time series data patterns, as indicated by the lowest MAPE value of 1.43, at the combination of 100 epochs and a batch size of 32.
RANCANG BANGUN KUNCI OTOMATIS MENGGUNAKAN POLA KETUKAN BERBASIS KETUKAN BERBASIS ARDUINO Andri Budi Laksono; Diyah Ruswanti; Dwi Retnoningsih
JIMSTEK: Jurnal Ilmiah Sains dan Teknologi Vol. 3 (2021): JIMSTEK
Publisher : Fakultas Sains, Teknologi dan Kesehatan Universitas Sahid Surakarta

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Abstract

The development of technology and completeness of electronic equipment do not cause changes in society. It is indicated by the fact that the community still uses a simple key sistem. In opening and closing the door, they still use conventional keys such as child locks and sliding locks. This type of locking has been applied as a general locking method. However , the obstacles that occur in manual locking are the difficulty in opening the lock, for example, a jammed lock that requires extra effort to open. The use of manual locks is easy to duplicate, is prone to lose if taken away, and can allow other people to enter private homes or rooms. Therefore we need a door locking system that can provide ease of use from conventional locking, namely using automatic locking with a knock pattern. This research aims to design an automatic lock using an Arduino – based knock pattern, which provides another alternative in locking the door. This study uses a trial and error method, where the tool will continue to be tested until it is successfully implemented. This study uses a piezoelectric as a reader of vibrations resulting from a given beat. Furthermore, the given vibration will be stored by the system as a password to unlock the door. Relays are used to cut or supply voltage to the solenoid. Red led and green led is used as user indicators. Push – button is used to rest when entering a new password on the system. The result of this research is that the automatic unlocking system can identify the number of beats. If the number of beats detected is less than or equal to 20 (twenty), then the beats are correct, and the beats are wrong if the number of beats is more that 20 (twenty). The automatic unlocking system can also identift the slow and loud knocks when you want to unlock the door. The sound produced from a knock recorded using a smartphone device cannot be used as a door opener or cannot be used as an access control method. It is since the recorded knock sound does not provide sufficient vibration to be identified as a beat by the system.
Sistem Pendukung Keputusan Penilaian Kinerja Pegawai Dpmptsp Kota Salatiga Menggunakan Moora (Multi-Objective Optimization By Ratio Analysis) Nourmalina Ayu Sekarini; Dwi Retnoningsih; Astri Carolina
JIMSTEK: Jurnal Ilmiah Sains dan Teknologi Vol. 6 No. 01 (2024): JIMSTEK: Jurnal Ilmiah Sains dan Teknologi
Publisher : Fakultas Sains, Teknologi dan Kesehatan Universitas Sahid Surakarta

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Abstract

Proses penilaian kinerja pegawai pada DPMPTSP Kota Salatiga dilakukan secara manual dengan menggunakan form yang sudah ditetapkan dengan kriteria penilaian kinerja yaitu nilai SKP, orientasi pelayanan, integritas, komitmen, disiplin, kerjasama, dan kepemimpinan. Pelaksanaan penilaian kinerja pegawai mengalami kendala untuk penentuan pegawai yang mendapatkan penghargaan. Mengingat jumlah pegawai yang banyak dan proses evaluasi kinerja pegawai yang cukup rumit dengan banyaknya kriteria menyebabkan beberapa kali terjadi kesalahan dalam pencatatan data evaluasi kerja dan proses perhitungan hasil evaluasi kerja. Selain itu, banyaknya pegawai yang dievaluasi menyebabkan proses pengelolaan hasil evaluasi kerja membutuhkan waktu yang cukup lama, hal ini tentunya dinilai tidak efisien. Penelitian ini bertujuan untuk membuat sistem pendukung keputusan yang dapat memperhitungkan segala kriteria guna mempercepat dan mempermudah penilaian kinerja pegawai yang lebih efektif pada DPMPTSP Kota Salatiga dengan menggunakan metode MOORA. Penelitian ini menggunakan 5 kriteria penilaian yaitu pelayanan dengan bobot nilai 0,25, integritas dengan bobot nilai 0,20, komitmen dengan bobot nilai 0,15, disiplin dengan bobot nilai 0,15, kerjasama dengan bobot nilai 0,15 dan kepemimpinan dengan bobot nilai 0,10. Hasil penilaian kinerja menggunakan metode MOORA dari penilaian kinerja pegawai DPMPTSP Kota Salatiga diperoleh pegawai terbaik yaitu RIAWAN WIDYATMOKO, S.P dengan nilai 0,191
Penggunaan Metode Rank Order Centroid dalam Penentuan Nilai Centroid (Studi Kasus : Dataset Biji Gandum) ricky dwi saputro Saputro; Dwi Retnoningsih; Hardika Khusnuliawati
JIMSTEK: Jurnal Ilmiah Sains dan Teknologi Vol. 6 No. 01 (2024): JIMSTEK: Jurnal Ilmiah Sains dan Teknologi
Publisher : Fakultas Sains, Teknologi dan Kesehatan Universitas Sahid Surakarta

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Abstract

Clustering is a data processing in data mining, namely a clustering process by separating a set of data into smaller groups or clusters based on similar characteristics. A clustering method in data mining is K-Means. The KMeans method processes data into the desired number of clusters and the data will be placed into clusters based on the proximity of the centroid or distance to each cluster. The conventional K-Means method has the disadvantage, namely the initial centroid selection is random so it can produce different results. Therefore, initial centroid selection can improve accuracy in the clustering process. Determining the initial centroid can be done in various ways such as Rank Order Centroid (ROC). ROC is a method that gives a score to each criterion according to its ranking appropriate to score based on its priority level. This research compares the evaluation results with the Davies Bouldin Index (DBI) method, which is a cluster validation method for grouping methods. The results of the clustering method using wheat grain data show that a DBI KMeans value using ROC of 0.33350 with 4 iterations in 2 clusters. Keywords : Clustering, K-Means, centroid, ROC
Workshop Digital Branding UMKM Desa Gajahan, Colomadu, Karanganyar Dwi Retnoningsih; Revika Anastasya; Leni Andani; Malik Fajar Sidik; Desy Triastuti
IJECS: Indonesian Journal of Empowerment and Community Services Vol. 5 No. 2 (2024): IJECS: Indonesian Journal of Empowerment and Community Services
Publisher : Universitas Veteran Bangun Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32585/ijecs.v5i2.5605

Abstract

Digital branding has become a crucial tool for the development of MSMEs in the digital era. This community service activity aims to enhance the understanding and skills of digital branding among MSME practitioners in Gajahan Village, Colomadu Subdistrict, Karanganyar Regency. Through a series of workshops and direct mentoring, participants were taught how to effectively utilize digital platforms such as social media to promote their products. A qualitative method was employed in this study to evaluate the impact of the activity, with data collected through in-depth interviews, observations, and evaluation. The findings indicate a significant improvement in participants' understanding of digital branding concepts and techniques, as well as their ability to implement digital marketing strategies. The strength of this activity lies in delivering practical knowledge that is directly applicable by MSMEs, despite challenges in technology adaptation and limited resources. This activity also highlighted the great potential for further development through continuous training and local government support. It is hoped that this activity model can be replicated for MSME development in other regions, to accelerate digital transformation and enhance their competitiveness in the global market. Keywords: Digital Branding, MSMEs, Training, Gajahan Village, Digital Marketing
PENERAPAN FRAMEWORK LARAVEL PADA SISTEM INFORMASI PELAYANAN MASYARAKAT KELURAHAN JANTIHARJO KABUPATEN KARANGANYAR Muhammad Aqshal Syafatullah; Dwi Retnoningsih; Firdhaus Hari Saputro Al Haris
Merdeka Indonesia Jurnal International Vol 6 No 6 (2026): MIJI : Merdeka Indonesia Journal International
Publisher : Merdeka Indonesia Jurnal International

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69796/miji.v6i6.674

Abstract

Pelayanan administrasi publik di Kelurahan Jantiharjo saat ini masih dilakukan secara manual, yang berdampak pada rendahnya efisiensi birokrasi dan lamanya durasi pelayanan. Penelitian ini bertujuan membangun sistem informasi E-SIKJA berbasis website untuk mendigitalisasi pengajuan surat, pengaduan masyarakat, serta penyajian informasi kelurahan agar lebih transparan. Metode pengembangan sistem menggunakan model Waterfall yang mencakup tahapan analisis kebutuhan, perancangan, pengkodean, hingga pengujian. Hasil pengujian Black-box Testing menunjukkan bahwa seluruh fitur sistem telah berjalan valid (100%). Sementara itu, Beta Testing memperoleh tingkat kelayakan sebesar 83,68% dengan kategori "Sangat Setuju". Simpulan penelitian ini adalah sistem E-SIKJA terbukti mampu meningkatkan kualitas pelayanan administrasi dan kepuasan masyarakat secara signifikan dibandingkan dengan metode konvensional sebelumnya. Sistem ini diharapkan menjadi model transformasi digital yang berkelanjutan bagi tata kelola kelurahan.
PENINGKATAN LITERASI ETIS PENGGUNAAN GENERATIVE AI PADA MAHASISWA UNIVERSITAS SAHID SURAKARTA Hardika Khusnuliawati; Dwi Retnoningsih; Astri Charolina
Jurnal Pengabdian Masyarakat Multidisiplin Vol 9 No 2 (2026): Februari
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/jpm.v9i2.7477

Abstract

The rapid development of Generative Artificial Intelligence (Generative AI) has encouraged its widespread use among students in academic activities. However, the use of Generative AI without adequate ethical literacy may lead to violations of academic integrity and technological dependency. This community service activity aimed to enhance ethical literacy in the use of Generative AI among 53 students of Universitas Sahid Surakarta through a structured socialization program. The implementation employed an educative–participatory approach, including material presentations, reflective discussions, and evaluation through pre-test and post-test instruments based on a Likert scale. The activity resulted in an increase in students’ understanding across all evaluated indicators, ranging from 12% to 18%, particularly in Generative AI conceptual understanding, AI output verification, academic integrity awareness, and ethical AI usage. These findings indicate that the socialization activity was effective in strengthening students’ ethical literacy regarding the use of Generative AI in higher education. The activity is expected to support the reinforcement of academic integrity culture and serve as a foundation for the development of sustainable AI literacy policies and programs within universities.  
Financial literacy and its determinants: The case of rural smallholder farmers in Indonesia Retnoningsih, Dwi; H. Chung, Rebecca
Journal of Tropical Rural Development Vol. 2 No. 2 (2025): December 2025
Publisher : Agriculture Socio-Economic Department, Faculty of Agriculture, Brawijaya University

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

Abstract

This study reveals the determinants of financial literacy of rural smallholder farmers in Indonesia with using the IV-Probit methodology based on primary cross-sectional data. The results show that these farmers are generally low in their financial literacy, and it is shaped by other factors such as socio-economic and farm operational characteristics. Participation in farmers' groups is considered the most critical of all the factors influencing financial literacy, followed closely by income. Other positive determinants include exposure to radio, altitude of farm location, education, access to capital and financial services, and farming experience, but effects seem to be at relatively smaller magnitudes. The results indicate the necessity for direct interventions, such as developing community-based groups with the participation of financial institutions and government representatives, and using mainstream media, particularly radio, to disseminate financial information and education. Enhanced financial literacy among smallholder farmers will enable them to make informed financial choices, thus promoting economic welfare and poverty alleviation in line with Sustainable Development Goals 1 (No Poverty) and 8 (Decent Work and Economic Growth).
Co-Authors 'Ula, Mahfudlotul A.A. Ketut Agung Cahyawan W AA Sudharmawan, AA Abdush Shomad, Abdush Ade Setiyawan Ade Setiyawan Agus Purwo Handoko Agus Purwo Handoko Agus Sutopo, Agus Alfiyanus Shaf’at Ali Djamhuri Alim, Sahl Hilmy Andri Budi Laksono Arkha Cristya Primadana Arkha Cristya Primadana Asniati, Diana Nur Astri Carolina Astri Charolina Ayupratiwi, Pramesti Cholil Jamhari Dahlan Susilo Desy Triastuti Dewi Kumalasari Dhamayanti, Irma Diana Nur Asniati Dina Riana, Fitria Djoko Koestiono Dwi Esti Wardani Dwi Ratna Sari Dwi Ratna Sari, Dwi Ratna Effiyaldi Endritha Pramudya Fahriyah Fahriyah Faris Hudaifi, Afif Firdhaus Hari Saputro Al Haris Fitriyadi, Farid Gazali Gigih Yudo Sekti H. Chung, Rebecca Hadi Pratikno Hakim, Rachman Hanani AR, Nuhfil Hardika Khusnuliawati, Hardika Hari Saputro Al Haris, Firdhaus Heri Kusharyanto Heri Kusharyanto Hery Toiba Ilyas Shaleh, Mohammad Irma Dhamayanti Jamhari, Cholil Joko Prasetyo Joko Prasetyo Leni Andani Malik Fajar Sidik Mandansari, Titik Maslichah Raichatul Janah Maslichah Raichatul Janah Mohammad Arifin Nurul Qhomar Mohammad Arifin Nurul Qhomar Mohan Adha Rifai Muhammad Aqshal Syafatullah Nourmalina Ayu Sekarini Noviyanti, Retno Nugroho Tri Wibowo Nugroho, Moh Andi Setyo Nuro, Wayastahty Nurul Pradana Ratmawati Omega, Yuseva Kristine Pawar, Avinash Pipatrapa, Anirut Pratikno, Hadi Purwahana, Radite Putra, Yanuar Nur Fajar Qhomar, Mohammad Arifin Nurul Rachman Hartono Radite Purwahana Rahman, Moh Shadiqur Rahman, Moh. Shadiqur Ratmawati, Nurul Pradana Retno Noviyanti Revika Anastasya Revy Sipahutar Revy Sipahutar, Revy ricky dwi saputro Saputro Rifai, Mohan Adha Risal, Zef Role, Vinsensius Sony Ruswanti, Diyah Salsabila, Unik Hanifah Satriyo, Bayu Dwi Shaleh, Mohammad Ilyas Sri Ernawati Sri Huning Anwariningsih Syafrial Syamsul Arifin Tri Waluyo Tri Waluyo Vinsensius Sony Role Wahyu Firdaus, Mohammad Wahyuningsih, Dwi Prastiwi Wardani, Dwi Esti Wayastahty Nuro Wibowo, Nugroho Tri Wijayanto, Hari Wahyu Wiwit Widyawati Yanuar Nur Fajar Putra Yanuar Nur Fajar Putra Yosef Chris Bagiyarsa Yosef Chris Bagiyarsa Zainurrafiqi