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Analisis Pengaruh Kualitas Pelayanan dan Kualitas Produk terhadap Kepuasan Pelanggan pada Rumah Makan Nasi Liwet Cipancar Abdurohman, Abdurohman; Adji, Widwi Handari
Al-Kharaj : Jurnal Ekonomi, Keuangan & Bisnis Syariah Vol 6 No 3 (2024): Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah
Publisher : Research and Strategic Studies Center (Pusat Riset dan Kajian Strategis) Fakultas Syariah IAI Nasional Laa Roiba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/alkharaj.v6i3.3746

Abstract

service and product quality on consumer satisfaction at Nasi Liwet Cipancar Restaurant. As many as 99 respondents for the sample taken using the Non-Probability sampling technique with the Accidential sampling approach. So that there is a simultaneous influence between variable X1 and variable X2 on Y with SPSS V.26 of 56% and the remaining 43.4% is attributed to other factors that were not examined in this research. Keywords: Service Quality, Product Quality, Customer Satisfaction
ADAB MURID KEPADA GURU PERSPEKTIF AL-GHAZALI STUDI KITAB MINHAJUL MUTA’ALIM Abdurohman, Abdurohman
Tazkiya: Jurnal Pendidikan Islam Vol 12, No 2 (2023): Juli - Desember 2023
Publisher : Universitas Islam Negeri Sumatera Utara Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/taz.v12i2.2735

Abstract

Tujuan penelitian  ini; pertama, Untuk Mengetahui Bagaimanakah Konsep Adab didalam Islam. Kedua, Untuk Mengetahui Bagaimanakah Konsep Murid didalam Filsafat Pendidikan Islam. Ketiga, Untuk Mengetahui Bagaimanakah Adab Murid Kepada Guru Perspektif Imam Al-Ghazali. Metode Penelitian yang digunakan adalah library research dan menggunakan analisis dokumen sebagai pijakan dalam melakukan penelitian. Data-data yang telah terkumpul kemudian dianalisis lebih lanjut dengan mengacu kepada Triangulasi Teori dan Triangulasi Data. Hasil penelitian ini berisi adab sebagai nilai-nilai yang bersumber dari pemenuhan terhadap syariat dengan bentuk yang lebih luwes murid di dalam pendidikan Islam menjadi sebuah raw material  yang menerima berbagai informasi dari unsur external tanpa filter, adab murid kepada guru meliputi tiga point yang diekstraksi dari kitab Minhajul Muta’alim: pertama, tazkiyatun nafs, murid tidak menentukan bahan ajar, murid lebih mengutamakan guru dibanding orang tua di dalam proses pendidikan. Sehingga penelitian diharapkan mampu memberi gambaran baru tentang pandangan al-Ghazali.
Dampak Pemeliharaan Serta Pengoperasian Oily Water Separator Dalam Upaya Mencegah Pencemaran Laut Oleh Minyak Dari Kapal Prihastuti, Ai Dewi; Abdurohman, Abdurohman; Thoriq, Wahyu Imam
AL-MIKRAJ Jurnal Studi Islam dan Humaniora (E-ISSN 2745-4584) Vol 5 No 01 (2024): Al-Mikraj, Jurnal Studi Islam dan Humaniora
Publisher : Pascasarjana Institut Agama Islam Sunan Giri Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/almikraj.v5i01.5858

Abstract

Impact of Maintenance and Operation of Oily Water Separators in Efforts to Prevent Marine Pollution by Oil from Ships. Environmental cleanliness is curr­­­ently being given special attention by both developed and developing countries, and therefore has resulted in many regulations to maintain the balance of the ecosystem of life in this world. This imbalance can cause damage to the ecosystem due to pollution, one of which occurs in the ocean. This pollution is caused, among other things, by oil spills, toxic liquids, dangerous substances carried by sea in the form of packaging, rubbish from ships and air pollution. The aim of this research is to find out the pressure or procedures for operating the Oily Water Separator (OWS) aircraft correctly and according to procedures, as well as to find out how to maintain and repair the Oily Water Separator (OWS) aircraft, and why oily water planned operations may not occur. Separator (OWS). The method used in research is descriptive method. The data in this research were obtained from observations on the ship, documents obtained when conducting research on the ship, and from interviews. From the results of this research, data was obtained that against the background of the impact of maintenance and operation of the Oily Water Separator (OWS) in an effort to prevent marine pollution by oil from ships, it was stated that problems were discovered when carrying out research on the Oil Water Separator itself. The lack of air pressure would disrupt its operation. a three-way valve, as a whole, will disrupt the working system of the Oily Water Separator (OWS) water and oil separator. If the Oil Level Sensor which detects oil is found to be not working properly, it must be replaced with spare parts available on the ship. Apart from that, there is no regular operation of the Oil Water Separator, because problems arise on an aircraft because the operator does not carry out standard operating procedures. . To support work programs that comply with regulations, in this case it is necessary to standardize fundamentally and thoroughly regarding the implementation of standard operating procedures and be guided by the company's manual instruction book or PMS.
Implementation and Analysis of Fuzzy Inference System (FIS) and Adaptive Neuro-Fuzzy Inference System (ANFIS) for Irrigation Abdurohman, Abdurohman; Siregar, Marsul; Olivia Sereati, Catherine; Windasari, Silviana; W. Pandjaitan, MM. Lanny
International Journal of Engineering Continuity Vol. 4 No. 1 (2025): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v4i1.399

Abstract

Efficient water management in agriculture is crucial due to dynamic environmental conditions and increasing resource scarcity. Fuzzy Inference System (FIS) is widely applied in irrigation control for its ability to handle uncertaintys using rule-based domain knowledge. However, conventional FIS lacks adaptability to environmental changes, limiting its long-term accuracy and responsiveness. Adaptive Neuro-Fuzzy Inference System (ANFIS) addresses this limitation by combining fuzzy logic with neural network learning, enabling automatic adjustment of model parameters based on data patterns. This study compares the performance of FIS and ANFIS in predicting optimal irrigation levels based on soil moisture, air temperature, relative humidity, and solar radiation. A synthetic dataset of 1,000 samples simulating realistic agricultural conditions was generated and normalized to improve computational consistency. The FIS model uses triangular membership functions and five expert-defined fuzzy rules, while ANFIS employs Gaussian membership functions with parameters optimized using the ADAM algorithm over 50 training epochs. Results show that ANFIS outperforms FIS, lowering RMSE from 0.13 to 0.07, halving MAE from 0.10 to 0.05, and increasing R² from 0.85 to 0.93, indicating a substantially better predictive performance. This study demonstrates that ANFIS is more adaptive, accurate, and computationally efficient, contributing to the advancement of intelligent and sustainable irrigation systems in precision agriculture.
Development of an IoT-Based Prototype for Optimizing Hazardous Materials and Equipment Storage to Enhance HSE in Laboratories Windasari, Silviana; Abdurohman, Abdurohman; Rochmad, Imbuh; Budiyanto, Setiyo
International Journal of Engineering Continuity Vol. 4 No. 1 (2025): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v4i1.414

Abstract

Laboratory incidents are often precipitated by misplacement of hazardous materials and delayed recognition of unsafe conditions. Earlier laboratory safety solutions typically centered on sensors and dashboards, including IoT monitoring, improve situational awareness but remain largely reactive, operate at room/building scale, seldom enforce item-level storage rules, and rarely report alert selectivity (false-alarm behaviour). This work presents a compact prototype that combines RFID-based storage-zone verification with environmental sensing to support Health, Safety, Security, and Environment (HSSE) compliance at the storage-unit level. An ESP32-based controller integrates three RFID readers (low/medium/high-risk compartments) with temperature humidity and gas sensors; data are streamed to an IoT interface for real-time visualization and notification (e.g., implemented via Blynk), while rule-based logic triggers local (buzzer) and remote alerts when a tagged item is placed in the wrong zone or thresholds are exceeded. A scenario-driven evaluation across 18 cases (correct/mismatched placements for representative items) yielded 100% RFID tag detection and placement validation, an average response time of 2.37 s, and no false alarms under correct placements. These results indicate that joining placement verification with multi-sensor monitoring provides selective, low-latency warnings while avoiding nuisance alerts, establishing quantitative baselines for scalable smart-laboratory HSSE enforcement.
Improved Website SecurityUsing SSL and HAProxy Based PFSense Routers Ade Frihadi; Silviana Windasari; Mardiyan Dama; Bayu Bagaskoro; Abdurohman, Abdurohman
Teknik: Jurnal Ilmu Teknik dan Informatika Vol. 5 No. 1 (2025): Mei: Teknik: Jurnal Ilmu Teknik dan Informatika
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/teknik.v5i1.888

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Website security is a crucial aspect in the face of increasing cyber threats. This study aims to implement website protection using SSL (Secure Sockets Layer) and HAProxy (High Availability Proxy) through a PFSense router, and to evaluate its effectiveness using the securityheaders.com platform. The methodology used is an experimental study with a reverse proxy server configuration based on HAProxy and SSL certificates from Let's Encrypt. Measurement results indicate an improvement in the website's security score after the configuration was applied, particularly in security headers such as Strict-Transport-Security, X-Frame-Options, and Content-Security-Policy. This research contributes to strengthening web security architecture that is simple, efficient, and openly adoptable by government institutions and medium-scale organizations that require open-source-based security solutions.
Single Tone Trigger Implementation for Seamless and Automated Broadcast to Ad Insertion Dama, Mardiyan; Windasari, Silviana; Adi Affandi Rotib; Frihadi, Ade; Abdurohman, Abdurohman
Teknik: Jurnal Ilmu Teknik dan Informatika Vol. 5 No. 1 (2025): Mei: Teknik: Jurnal Ilmu Teknik dan Informatika
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/teknik.v5i1.889

Abstract

Abstract. The advancement of broadcasting technology has driven the demand for reliable and efficient automation systems, particularly in managing the transition from broadcast content to advertisement segments. In this context, the present study proposes the application of the Single Tone Trigger (STT) method as an automatic triggering mechanism to systematically regulate content switching. This method utilizes a single-frequency audio signal embedded within the primary broadcast, which can be detected by the receiving system. The detection of this signal initiates an automatic content transition without requiring intervention from playout operators. A key advantage of this approach lies in its ease of integration with conventional broadcasting systems and its ability to reduce manual involvement that has traditionally been essential in broadcast content management. Through a series of tests, the system demonstrated high signal detection accuracy, low latency, and optimal operational reliability. These findings indicate that the Single Tone Trigger method can significantly enhance workflow efficiency within the broadcasting industry. Overall, this approach presents substantial potential for broad implementation as an automation solution that is not only stable and cost-effective, but also adaptive to the operational demands of modern broadcasting.   Keywords: Automatic Transition, Broadcast Automation, Single Tone Trigger (STT).
Leveraging Blockchain Technology to Enhance Data Integrity and Transparency in Government Data Centers Rotib, Adi Affandi; Windasari, Silviana; Bayu Bagaskoro; Ade Frihadi; Abdurohman, Abdurohman
Teknik: Jurnal Ilmu Teknik dan Informatika Vol. 5 No. 1 (2025): Mei: Teknik: Jurnal Ilmu Teknik dan Informatika
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/teknik.v5i1.891

Abstract

Abstract. Government data centers in Indonesia face significant challenges related to data integrity and transparency, impacting policy-making accuracy, operational efficiency, and public trust. Data fragmentation, information inconsistency, and vulnerability to manipulation and cyberattacks have become crucial issues. Blockchain technology, with its fundamental characteristics such as decentralization, immutability, cryptography, and consensus mechanisms, offers innovative solutions to address these problems. This research employs a systematic literature review and conceptual analysis approach to identify how blockchain principles can be effectively applied. The proposed conceptual model, which utilizes permissioned blockchains like Hyperledger Fabric and distributed storage systems such as the InterPlanetary File System (IPFS), demonstrates significant potential in creating a secure, transparent, and auditable data ecosystem. Blockchain implementation is expected to enhance data security, strengthen auditability, prevent fraud, improve operational efficiency, securely manage digital identities, and increase data availability and redundancy. Although implementation challenges exist, including technical complexity, immature regulations, costs, and human resource gaps, global case studies and initial initiatives in Indonesia indicate significant feasibility and benefits. This report recommends a holistic approach encompassing adaptive regulatory development, infrastructure and human resource investment, phased pilot projects, and multi-stakeholder collaboration to realize blockchain's full potential in improving government data governance.   Keywords: Blockchain, Cybersecurity, Data Integrity, Data Transparency, Government Data Center
Optimization of Logistics Electrical Systems with a Safety Approach Bagaskoro, Bayu; Windasari, Silviana; Abdurohman, Abdurohman; Afandi, Adi; Frihadi s, Ade
Teknik: Jurnal Ilmu Teknik dan Informatika Vol. 5 No. 1 (2025): Mei: Teknik: Jurnal Ilmu Teknik dan Informatika
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/teknik.v5i1.892

Abstract

Electrical systems are fundamental infrastructures that support the operational continuity of logistics companies. However, without a structured approach to safety and optimization, these systems can become a source of inefficiency and risk. This study aims to analyze and optimize the use of electrical systems within logistics environments by applying a safety-oriented framework. The research investigates how electricity is distributed, utilized, and safeguarded in logistics companies and warehouses. Using a combination of observational methods and literature-based analysis, the study identifies critical issues related to energy reliability, system efficiency, and workplace safety. The findings are expected to contribute to the development of safer, more resilient, and energy-efficient electrical infrastructures in logistics operations.   Keywords: Electrical system, logistics optimization, safety, warehouse, infrastructure.
Optimization Model of IoT and Machine Learning for Renewable Energy-Powered Aeroponic Systems Windasari, Silviana; Abdurohman, Abdurohman; Affandi Ratib, Adi; Frihadi, Ade; Montazi, Khalid
International Journal of Engineering Continuity Vol. 4 No. 2 (2025): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v4i2.426

Abstract

This study proposes an optimization model integrating Internet of Things (IoT) and Machine Learning (ML) for renewable energy-powered aeroponic systems as a conceptual framework to enhance sustainable agriculture and address global food security challenges. The model is designed to mitigate land degradation, water scarcity, and the impacts of climate variability on crop productivity. It combines IoT-based real-time monitoring of key environmental variables temperature, humidity, pH, electrical conductivity, and light intensity with Long Short-Term Memory (LSTM) networks for time-series prediction of crop growth and resource requirements. Renewable energy sources, particularly solar photovoltaic systems with battery storage, ensure reliable and environmentally friendly power supply. The proposed approach emphasizes predictive optimization, where IoT data streams inform adaptive LSTM algorithms for precise irrigation and nutrient control. Model performance is evaluated using Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), and coefficient of determination (R²). Although the study remains conceptual and simulation-based, validation results demonstrate high predictive accuracy and efficiency. This research establishes a foundational framework for subsequent prototype development, experimental validation, and techno-economic evaluation toward scalable, energy-efficient, and sustainable smart farming systems.