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Pelatihan Pembuatan Eco Enzyme dari Limbah Organik sebagai Hand Sanitizer di SMK Muhammadiyah Seputih Raman Yohana Tri Utami; Devi Nur Anisa; Dina Eka Nurvazly; Siti Laelatul Chasanah; Humairoh Ratu Ayu; Dewi Asiah Shofiana
Indonesian Journal of Community Service and Innovation (IJCOSIN) Vol 3 No 2 (2023): Juli 2023
Publisher : LPPM IT Telkom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/ijcosin.v3i2.1094

Penyakit yang disebabkan oleh agen biologi seperti bakteri, virus atau parasite tergolong ke dalam penyakit infeksi atau penyakit menular. Lingkungan sekolah adalah lingkungan yang rentan terhadap penularan penyakit tersebut. Oleh karena itu diperlukan kebiasaan hidup sehat yaitu dengan kebiasaan cuci tangan menggunakan sabun dan penggunaan antiseptik Salah satu yang umum digunakan adalah hand sanitizer. Hand sanitizer merupakan antiseptik yang dapat digunakan secara instant tanpa menggunakan air dimana saja dan kapan saja. Tujuan dari kegiatan ini ialah mensosialisasikan perilaku hidup sehat dengan memilah sampah dan menghasilkan eco enzyme dari fermentasi limbah organik yang digunakan sebagai bahan baku pembuatan produk Kesehatan berupa hand sanitizer. Metode pembuatan yang mudah, dan menggunakan limbah organik sehingga sangat terjangkau menambah nilai keunggulan dari produk kesehatan ini. Metode pelaksanaan kegiatan dilakukaan dengan forum group discussion dan pelatihan pembuatan ecoenzyme serta pembuatan hand sanitizer dari eco enzyme untuk para guru dan staf tata usaha SMK Muhammadiyah Seputih Raman. Hasil dari pengabdian ini adalah meningkatnya pengetahuan perilaku hidup sehat dan ketrampilan peserta dalam pembuatan eco enzyme dan hand sanitizer.

Traffic Violation Modeling Using K-Means Clustering Method: A Case Study in Bandung, Indonesia Junaidi, Akmal; Manurung, Yunita Rosalina; Shofiana, Dewi Asiah; Lumbanraja, Favorisen Rosyking
Integra: Journal of Integrated Mathematics and Computer Science Vol. 1 No. 3 (2024): November
Publisher : Magister Program of Mathematics, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/integrajimcs.20241326

Violations of traffic regulations are both an issue and a problem that persists as a feature of life, especially in metropolitan regions such as Bandung. Traffic violation has both behavioral and environmental patterns, with different types of violations occurring at different times during the day. This negligence stems largely from not properly equipping the vehicle with the necessary documents, especially for drivers who do not pay attention to proper document preparation. With the goal of increasing road safety, law enforcement bodies face the ongoing challenge of managing rising traffic violation rates which results in a growing backlog of violation cases and a corresponding backlog workload for police departments. Comprehensive preventive strategies for the problem are extremely difficult to implement in the absence of streamlined mechanisms for the efficient allocation of limited police resources. Currently, agencies responsible for managing violation records are still using a manual desktop system based on Microsoft Excel spreadsheets. This method impedes the analysis of large datasets to derive actionable insights that could inform targeted, data-driven strategies needed to guide proactive measures. In this regard, this study attempts to implement the K-Means clustering technique in order to identify and classify high-incidence traffic violation areas in Bandung. Using this technique, the research classifies the city into three violation risk clusters: very prone, prone, and moderately prone areas. The map of the classes demonstrates the distribution of these clusters spatially, illustrating clearly and vividly how stakeholders can visualise the pattern of traffic violations. This method improves the understanding of data and at the same time boosts purposeful planning for the safety and public traffic order anticipations.

Pelatihan Penggunaan Mendeley Untuk Meningkatan Keterampilan Guru Sekolah Dasar Dalam Penulisan Karya Ilmiah Ridho Sholehurrohman; Igit Sabda Ilman; Muhaqiqin; Dewi Asiah Shofiana
Komatika: Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 2 (2025): November 2025
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat, Institut Informatika Indonesia Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34148/komatika.v5i2.1105

Penulisan dan penerbitan artikel ilmiah sangat penting bagi guru, terutama sebagai bagian dari luaran guru penggerak di sekolah. Artikel ilmiah juga menjadi syarat utama untuk kenaikan pangkat guru. Kegagalan dalam memenuhi syarat ini dapat menyebabkan hilangnya honorarium profesi guru. Salah satu indikator penting kualitas karya ilmiah adalah terhindar dari plagiarisme, yang sering terjadi akibat kurangnya kemampuan guru dalam mengelola referensi dan menulis kutipan dengan benar. Banyak guru masih menggunakan metode manual dalam mengelola referensi karena kurangnya pengetahuan tentang aplikasi seperti Mendeley. Untuk mengatasi masalah ini, kegiatan Pengabdian Kepada Masyarakat (PKM) dilakukan dengan tujuan mentransfer pengetahuan mengenai penggunaan aplikasi Mendeley. Pelatihan ini bertujuan meningkatkan kualitas penulisan referensi dalam karya ilmiah. Berdasarkan analisis, 88% peserta pelatihan memahami penggunaan Mendeley, meskipun 60% guru di Lampung Barat masih menggunakan referensi manual. Pelatihan ini diharapkan membantu guru menjadi lebih kompeten dalam penulisan karya ilmiah dan mendukung peran mereka sebagai guru penggerak.

Penerapan Algoritma C4.5 Untuk Prediksi Churn Rate Pengguna Jasa Telekomunikasi Yohana Tri Utami; Dewi Asiah Shofiana; Yunda Heningtyas
Jurnal Komputasi Vol. 8 No. 2 (2020)
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v8i2.2647

Telecommunication industries are experiencing substantial problems related to the migration of customers due to a large number of competing companies, dynamic circumstances, as well as the presence of many innovative and attractive offerings. The situation has resulted in a high level of customer migration, affecting a decrement toward the company revenue. Regarding that condition, the customer churn is one well-know approach that can help in increasing the company's revenue and reputation. As to predict the reason behind the migration of customer, this study proposed a data mining classification technique by applying the C4.5 algorithm. Patterns generated by the model were implemented using 10-fold cross-validation, resulting in a model with an accuracy rate of 87%, precision 87.5%, and a recall of 97%. Based on the good performance quality of the model, it can be stated that the C4.5 algorithm succeeded to discover several causes from the migration of telecommunication users, in which price holds the top place as the primary reason

Implementasi REST API Menggunakan JSON WEB Token (JWT) Pada Sistem Monitoring KPI Berbasis Mobile di PT Industri Kereta API (Persero) Dewi Asiah Shofiana; Saddam Surya Mardiansyah; M. Iqbal Parabi; Admi Syarif
Jurnal Komputasi Vol. 12 No. 2 (2024): Jurnal Komputasi
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v12i2.272

In today's competitive and dynamic business environment, modern companies increasingly recognize the importance of Key Performance Indicators (KPIs) for monitoring and ensuring performance. PT Industri Kereta Api (Persero) faces challenges in managing and monitoring numerous KPIs. This research aims to develop a KPI monitoring system using a REST API to handle significant data volumes and ensure relevant and reliable information. Implementing REST API addresses data complexity and ensures efficient operations, providing optimal benefits for the company's management policies. With REST API, the KPI monitoring system can operate across various platforms, such as web and mobile, enhancing information flexibility and accessibility for users. The research focuses on developing an integrated KPI monitoring system, applying REST API for efficient and real-time data access, designing and testing a mobile application, and conducting comprehensive testing. Security testing indicates a good level of system security, performance testing shows the application can handle high loads with stable response times, black box testing demonstrates that the system functions well and meets specifications without significant errors, and user acceptance testing (UAT) achieved a satisfaction index of "Very Satisfactory" with an 88.75% result. This research uses the Personal Extreme Programming (PXP) method, an iterative process suitable for individual software engineers, ensuring flexibility and responsibility in handling changing requirements.

Optimizing Protection Settings at PT PLN (PERSERO) UP2D Lampung through User-Centered Design and Model-View-Controller Architecture Dewi Asiah Shofiana; Yunda Heningtyas; Siti Ayuni
Integra: Journal of Integrated Mathematics and Computer Science Vol. 3 No. 1 (2026): March
Publisher : Magister Program of Mathematics, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/integrajimcs.20263151

The rational basis for this research is the need to strengthen a Protection Management Information System in PT Perusahaan Listrik Negara (PLN) (Persero) UP2D Lampung so that it can implement monitoring and control systems or applications management protection settings quickly & accurately on electrical distribution system. Currently the company is using a manual process that uses Microsoft Excel, which is time-consuming and subject to human errors resulting in system reliability issues. In this paper, a new web-based system is developed based on the User-Centered Design (UCD) approach to provide an easy and friendly interface for field operators to handle filling process. Using the MVC (Model View Controller) architectural design pattern with CodeIgniter 4, it has structured and modularized code for easy maintenance and update. It automatically processes protection data, such as the Over Current Relay (OCR) and Ground Fault Relay (GFR) settings, its output to manager in a form easy to understand. The prototype was tested for usability via the User Equation Questionnaire (composed of Likert scale questions) with 19 respondents, allowing to determine a high usability score of 93.78% and validating the strong user satisfaction. The results of this study are expected to lead to the implementation of a reliable system with a user-friendly interface, ultimately enhancing the reliability of the electrical distribution system and speeding up responses to electrical issues in the Lampung region.

Analisis Sentimen, Linguistik, dan Spasial Pada Program Makan Bergizi Gratis Menggunakan LSTM dan GRU Dewi Asiah Shofiana; Rhalasya Eleina Putri; Rahman Taufik; Favorisen Rosyking Lumbanraja
Techno.Com Vol. 25 No. 3 (2026): August 2026
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/tc.v25i3.16255

Penelitian ini memetakan sentimen publik serta pola linguistik, temporal, dan spasial opini mengenai Program Makan Bergizi Gratis (MBG) pada X, sekaligus membandingkan kinerja Long Short-Term Memory (LSTM) dan Gated Recurrent Unit (GRU) untuk klasifikasi sentimen. Penelitian menggunakan pendekatan kuantitatif berbasis text mining pada tweet berbahasa Indonesia periode Januari sampai Agustus 2025. Pengumpulan data berbasis kata kunci menghasilkan 13.486 tweet yang difokuskan pada konteks sekolah menengah atas dan menjadi 12.476 tweet setelah penghapusan duplikasi. Pelabelan dilakukan melalui anotasi manual dan bantuan IndoBERT, sedangkan ketidakseimbangan kelas pada data latih ditangani menggunakan ADASYN. Evaluasi dilakukan melalui stratified 10-fold cross-validation dan data uji terpisah. LSTM memberikan kinerja terbaik dengan akurasi 77,63%, presisi 77,51%, recall 77,40%, F1-score 77,46%, dan AUC 91,54%, sedangkan GRU memperoleh akurasi 75,59% dan F1-score 75,40%. Analisis linguistik menunjukkan bahwa sentimen negatif berpusat pada kualitas makanan dan anggaran, sedangkan sentimen positif menonjolkan manfaat gizi, pemerataan, dan masa depan anak. Temuan ini menegaskan bahwa evaluasi kebijakan perlu menggabungkan performa model dengan konteks linguistik dan wilayah. Kata kunci: Analisis Sentimen, Gated Recurrent Unit, Long Short-Term Memory, Pemrosesan Bahasa Alami, Program Makan Bergizi Gratis

Implementasi REST API Menggunakan JSON WEB Token (JWT) Pada Sistem Monitoring KPI Berbasis Mobile di PT Industri Kereta API (Persero) Dewi Asiah Shofiana; Saddam Surya Mardiansyah; M. Iqbal Parabi; Admi Syarif
Jurnal Komputasi Vol. 12 No. 2 (2024): Jurnal Komputasi
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v12i2.272

In today's competitive and dynamic business environment, modern companies increasingly recognize the importance of Key Performance Indicators (KPIs) for monitoring and ensuring performance. PT Industri Kereta Api (Persero) faces challenges in managing and monitoring numerous KPIs. This research aims to develop a KPI monitoring system using a REST API to handle significant data volumes and ensure relevant and reliable information. Implementing REST API addresses data complexity and ensures efficient operations, providing optimal benefits for the company's management policies. With REST API, the KPI monitoring system can operate across various platforms, such as web and mobile, enhancing information flexibility and accessibility for users. The research focuses on developing an integrated KPI monitoring system, applying REST API for efficient and real-time data access, designing and testing a mobile application, and conducting comprehensive testing. Security testing indicates a good level of system security, performance testing shows the application can handle high loads with stable response times, black box testing demonstrates that the system functions well and meets specifications without significant errors, and user acceptance testing (UAT) achieved a satisfaction index of "Very Satisfactory" with an 88.75% result. This research uses the Personal Extreme Programming (PXP) method, an iterative process suitable for individual software engineers, ensuring flexibility and responsibility in handling changing requirements.

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